<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.0 20040830//EN" "journalpublishing.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="2.0" xml:lang="en" article-type="research-article"><front><journal-meta><journal-id journal-id-type="nlm-ta">JMIR Res Protoc</journal-id><journal-id journal-id-type="publisher-id">ResProt</journal-id><journal-id journal-id-type="index">5</journal-id><journal-title>JMIR Research Protocols</journal-title><abbrev-journal-title>JMIR Res Protoc</abbrev-journal-title><issn pub-type="epub">1929-0748</issn><publisher><publisher-name>JMIR Publications</publisher-name><publisher-loc>Toronto, Canada</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">v15i1e94709</article-id><article-id pub-id-type="doi">10.2196/94709</article-id><article-categories><subj-group subj-group-type="heading"><subject>Protocol</subject></subj-group></article-categories><title-group><article-title>Development of Data-Driven Models for Just-in-Time Digital Self-Management Advice to Improve Physical Functioning in Hip and Knee Osteoarthritis: Protocol for the e-cOAch Cross-Over Study</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name name-style="western"><surname>Groen</surname><given-names>Femke</given-names></name><degrees>PT, MSc</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>de Rooij</surname><given-names>Mari&#x00EB;tte</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Kloek</surname><given-names>Corelien J J</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Veenhof</surname><given-names>Cindy</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Klein</surname><given-names>Michel C A</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff4">4</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Al-Janabi</surname><given-names>Abdallah</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff4">4</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>van Haeringen</surname><given-names>Erik S</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff4">4</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Ronteltap</surname><given-names>Amber</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Paans-Cijs</surname><given-names>Bas</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>van Dongen</surname><given-names>Britt</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff5">5</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Ginsel</surname><given-names>Dorien E</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Barten</surname><given-names>Di-Janne A</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Hoogeboom</surname><given-names>Thomas J</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Pisters</surname><given-names>Martijn F</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff6">6</xref></contrib></contrib-group><aff id="aff1"><institution>Department of Rehabilitation, Physiotherapy Science and Sports, UMC Utrecht Brain Center, University Medical Center Utrecht</institution><addr-line>Heidelberglaan 100</addr-line><addr-line>Utrecht</addr-line><addr-line>Utrecht</addr-line><country>The Netherlands</country></aff><aff id="aff2"><institution>Center for Rehabilitation and Rheumatology, Reade</institution><addr-line>Amsterdam</addr-line><addr-line>North Holland</addr-line><country>The Netherlands</country></aff><aff id="aff3"><institution>Research Group Innovation of Human Movement Care, University of Applied Sciences Utrecht</institution><addr-line>Utrecht</addr-line><addr-line>Utrecht</addr-line><country>The Netherlands</country></aff><aff id="aff4"><institution>Department of Computer Science, Vrije Universiteit Amsterdam</institution><addr-line>Amsterdam</addr-line><addr-line>North Holland</addr-line><country>The Netherlands</country></aff><aff id="aff5"><institution>Department of Health Promotion, Maastricht University</institution><addr-line>Maastricht</addr-line><addr-line>Limburg</addr-line><country>The Netherlands</country></aff><aff id="aff6"><institution>Department of Health Innovations &#x0026; Technology, Fontys University of Applied Sciences</institution><addr-line>Eindhoven</addr-line><addr-line>North Brabant</addr-line><country>The Netherlands</country></aff><contrib-group><contrib contrib-type="editor"><name name-style="western"><surname>Sarvestan</surname><given-names>Javad</given-names></name></contrib></contrib-group><author-notes><corresp>Correspondence to Femke Groen, PT, MSc, Department of Rehabilitation, Physiotherapy Science and Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, Utrecht, 3584 CX, The Netherlands, 31 887555555; <email>f.groen-4@umcutrecht.nl</email></corresp></author-notes><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>22</day><month>6</month><year>2026</year></pub-date><volume>15</volume><elocation-id>e94709</elocation-id><history><date date-type="received"><day>06</day><month>03</month><year>2026</year></date><date date-type="rev-recd"><day>24</day><month>04</month><year>2026</year></date><date date-type="accepted"><day>27</day><month>04</month><year>2026</year></date></history><copyright-statement>&#x00A9; Femke Groen, Mari&#x00EB;tte de Rooij, Corelien J J Kloek, Cindy Veenhof, Michel C A Klein, Abdallah Al-Janabi, Erik S van Haeringen, Amber Ronteltap, Bas Paans-Cijs, Britt van Dongen, Dorien E Ginsel, Di-Janne A Barten, Thomas J Hoogeboom, Martijn F Pisters. Originally published in JMIR Research Protocols (<ext-link ext-link-type="uri" xlink:href="https://www.researchprotocols.org">https://www.researchprotocols.org</ext-link>), 22.6.2026. </copyright-statement><copyright-year>2026</copyright-year><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on <ext-link ext-link-type="uri" xlink:href="https://www.researchprotocols.org">https://www.researchprotocols.org</ext-link>, as well as this copyright and license information must be included.</p></license><self-uri xlink:type="simple" xlink:href="https://www.researchprotocols.org/2026/1/e94709"/><abstract><sec><title>Background</title><p>Clinical guidelines recommend a stepped-care strategy for patients with hip and knee osteoarthritis that begins with nonoperative approaches, including education, pain medication, and self-care. However, the implementation of stepped-care remains limited. Digital self-management interventions have the potential to support patients in applying lifestyle advice and self-care strategies, but current tools often provide generic support without long-term continuity. Artificial intelligence offers new opportunities to deliver personalized, just-in-time self-management interventions for people with osteoarthritis. The development of such artificial intelligence algorithms is limited due to a lack of rich, longitudinal datasets.</p></sec><sec><title>Objective</title><p>The primary objective of this study is to develop and evaluate data-driven models that support personalized recommendations on the optimal timing and optimal advice (physical activity promotion, sleep optimization, weight management, no program) for individuals with hip or knee osteoarthritis.</p></sec><sec sec-type="methods"><title>Methods</title><p>This prospective cross-over study aims to include 600 people with hip or knee osteoarthritis, meeting the National Institute for Health and Care Excellence criteria. The study is registered at ClinicalTrials.gov (registered February 2, 2026, NCT07423858). We aim to screen digital health literacy in our sample. Participants will be recruited across the Netherlands and will use the e-cOAch web app, with 3 self-care programs (ie, physical activity promotion, weight management, and sleep optimization). Each participant will complete all three 12-week programs and one 12-week control period in a randomized sequence. Participants will be followed for 12 months, with biweekly assessments conducted via the app. The primary outcome for model development will be deterioration in physical functioning, measured by a decrease in the Hip Disability and Osteoarthritis Outcome Score subscale activities of daily living of 6.7 or the Knee Injury and Osteoarthritis Outcome Score subscale activities of daily living of 8.2. Secondary outcomes will be pain and participation. Additional measures will include patient characteristics (date of birth, sex, height, level of education, comorbidity, ethnicity, use of a walking device, use of pain medication, device for e-cOAch, duration of osteoarthritis complaints, health and digital literacy, smoking, alcohol use), physical activity, sleep quality and insomnia, psychosocial factors, behavioral determinants, and engagement with the app. These data will inform the development of data-driven models using supervised (causal) machine learning.</p></sec><sec sec-type="results"><title>Results</title><p>The funding for the study was granted in 2023. At the time of manuscript submission, 520 participants had been recruited. Recruitment is expected to be completed in March 2026, with data collection projected to conclude in April 2027. The publication of the results is anticipated in spring 2028.</p></sec><sec sec-type="conclusions"><title>Conclusions</title><p>This study will provide data-driven models that forecast changes in physical functioning over time and support personalized recommendations on the optimal timing of specific self-care programs for people with hip or knee osteoarthritis. These models will be integrated into a new iteration of a self-management app, e-cOAch (version 2), to provide personalized support for people with osteoarthritis across varying levels of digital health literacy.</p></sec><sec><title>Trial Registration</title><p>ClinicalTrials.gov NCT07423858; https://clinicaltrials.gov/study/NCT07423858</p></sec><sec sec-type="registered-report"><title>International Registered Report Identifier (IRRID)</title><p>DERR1-10.2196/94709</p></sec></abstract><kwd-group><kwd>osteoarthritis</kwd><kwd>self-management</kwd><kwd>artificial intelligence</kwd><kwd>physical functioning</kwd><kwd>lifestyle modification</kwd><kwd>physical activity</kwd><kwd>weight management</kwd><kwd>sleep management</kwd></kwd-group><custom-meta-wrap><custom-meta><meta-name>ext-peer-rev</meta-name><meta-value>The proposal for this study was peer-reviewed by the Dutch Research Council (NWO). See the Multimedia Appendix for the peer-review report</meta-value></custom-meta></custom-meta-wrap></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p>Osteoarthritis is highly prevalent, affecting roughly 7.7% of the global population in 2021 [<xref ref-type="bibr" rid="ref1">1</xref>]. Its prevalence is expected to rise substantially by 2050 due to aging populations and rising obesity rates [<xref ref-type="bibr" rid="ref1">1</xref>]. The hip and knee are 2 commonly affected joints [<xref ref-type="bibr" rid="ref2">2</xref>]. People with hip or knee osteoarthritis commonly experience pain and stiffness, as well as reduced physical functioning and participation in everyday activities [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref4">4</xref>].</p><p>To reduce the impact of osteoarthritis on physical functioning and participation, clinical guidelines for osteoarthritis recommend adopting a stepped-care approach [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref6">6</xref>]. This approach starts with nonoperative strategies, including lifestyle advice and the promotion of self-management. Self-management involves actively managing symptoms, treatment, and lifestyle choices [<xref ref-type="bibr" rid="ref7">7</xref>]. If this first step is insufficient, nonsurgical treatments, such as guided exercise therapy and dietary support, are recommended. Specialized or multidisciplinary care, including surgery, is considered when earlier steps fail to improve osteoarthritis symptoms adequately [<xref ref-type="bibr" rid="ref8">8</xref>]. Despite these clear guidelines, the implementation of stepped care in the Netherlands remains limited. Approximately 70% of patients consult an orthopedic surgeon without prior physiotherapy [<xref ref-type="bibr" rid="ref9">9</xref>].</p><p>Improving stepped care implementation and supporting self-management in people with osteoarthritis requires individually tailored support at each step of care [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref11">11</xref>]. Digital health technologies, including wearable activity trackers and connected apps, can support osteoarthritis self-management by facilitating the continuous collection of questionnaires and sensor data [<xref ref-type="bibr" rid="ref12">12</xref>]. Digital health technologies can, therefore, serve as an effective first-choice tool for self-management support in osteoarthritis-relevant topics, such as lifestyle behaviors and osteoarthritis knowledge [<xref ref-type="bibr" rid="ref13">13</xref>,<xref ref-type="bibr" rid="ref14">14</xref>]. Digital delivery allows wide accessibility and flexible use [<xref ref-type="bibr" rid="ref15">15</xref>]. However, part of the population, with limited health or digital literacy, may face difficulties using digital health technologies. Despite their potential to support osteoarthritis self-management, current interventions lack individually tailored support [<xref ref-type="bibr" rid="ref14">14</xref>].</p><p>The use of artificial intelligence (AI) provides new opportunities to deliver personalized, just-in-time self-management interventions. Continuous data collection through apps and wearable devices can inform AI algorithms that adapt interventions to each person&#x2019;s status and needs [<xref ref-type="bibr" rid="ref16">16</xref>]. Machine learning techniques can be used to predict the optimal timing of interventions, while causal inference approaches may help identify which type of self-management advice is most likely to improve pain, physical functioning, and participation [<xref ref-type="bibr" rid="ref16">16</xref>]. Together, these AI approaches have the potential to make self-management support highly responsive and targeted and therefore optimally effective. However, osteoarthritis-specific AI algorithms remain scarce, largely due to the lack of rich, longitudinal datasets that capture symptoms, behavioral factors, and contextual information over time.</p><p>Developing osteoarthritis-specific models that support long-term self-management requires strategies to anticipate changes in symptoms and personalize advice. To ensure that these models represent the broader osteoarthritis population and do not unintentionally increase health disparities, we make an effort to include individuals with diverse levels of digital health literacy. Therefore, the primary objective of this study is to develop and evaluate data-driven models that support personalized recommendations on the optimal timing and optimal advice (physical activity promotion, sleep optimization, weight management, no program) for individuals with hip or knee osteoarthritis. In other words, the study aims to identify an optimal dynamic treatment regime. These models are intended to be integrated into a new iteration of a self-management app, e-cOAch (version 2), to provide personalized support for people with osteoarthritis across varying levels of digital health literacy.</p></sec><sec id="s2" sec-type="methods"><title>Methods</title><sec id="s2-1"><title>Study Design</title><p>This is a prospective cross-over study including participants with hip or knee osteoarthritis. Recruitment is planned from September 2025 to March 2026 in the Netherlands. Each participant will be followed for 12 months. Assessments occur every 2 weeks (<xref ref-type="fig" rid="figure1">Figure 1</xref>). Participants will complete 3 self-care programs (physical activity promotion, sleep optimization, and weight management) and 1 control period in random order. Programs and control will start in weeks 3, 15, 27, and 39, each lasting 12 weeks. No washout period is included. This study has a cross-over design that allows the evaluation of behavioral interventions in a real-world context. Rather than assuming a return to baseline, the design captures the sustained and cumulative nature of behavior change [<xref ref-type="bibr" rid="ref17">17</xref>]. This aligns with the objective of identifying an optimal sequencing of self-care programs over time. Recent methodological work by Kulnik et al [<xref ref-type="bibr" rid="ref17">17</xref>] and Shi et al [<xref ref-type="bibr" rid="ref18">18</xref>] supports that such designs remain valid in the presence of behavioral carryover effects when appropriately addressed analytically. This study has been reviewed and approved by the NedMec Medical Ethical Committee (NL87119.041.24) and is registered at the International Clinical Trials Registry (registered on May 21, 2025, NL-OMON57573) and ClinicalTrials.gov (registered February 20, 2026, NCT07423858). This protocol was developed in accordance with the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) checklist [<xref ref-type="bibr" rid="ref19">19</xref>] and the TRIPOD (Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis) + AI checklist.</p><fig position="float" id="figure1"><label>Figure 1.</label><caption><p>Randomization of orders of self-care programs (sleep optimization, physical activity promotion, weight management) and control.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="resprot_v15i1e94709_fig01.png"/></fig></sec><sec id="s2-2"><title>Participants</title><p>We aim to include 600 participants through a broad recruitment strategy across multiple channels to reach Dutch individuals with osteoarthritis. Eligibility is based on the criteria listed in <xref ref-type="other" rid="box1">Textbox 1</xref>. Participants must be adults with self-administered osteoarthritis according to the National Institute for Health and Care Excellence criteria [<xref ref-type="bibr" rid="ref10">10</xref>]; key exclusion criteria include systemic arthritis or recent or upcoming lower limb surgery.</p><boxed-text id="box1"><title> Eligibility criteria.</title><p><bold>Inclusion criteria</bold></p><list list-type="bullet"><list-item><p>Have a hip and/or knee joint that, self-administered through a questionnaire, meets the National Institute for Health and Care Excellence clinical criteria for osteoarthritis [<xref ref-type="bibr" rid="ref10">10</xref>]:</p><list list-type="order"><list-item><p>Aged 45 years or over</p></list-item><list-item><p>Activity-related pain at the joint</p></list-item><list-item><p>Joint morning stiffness that lasts no longer than 30 minutes or no morning stiffness at the joint</p></list-item></list></list-item></list><list list-type="bullet"><list-item><p>History of pain at the joint for at least 3 months</p></list-item><list-item><p>Have access to a smartphone with internet connection and an email address</p></list-item><list-item><p>Able to give informed consent and willing to commit to all study evaluation and assessment procedures</p></list-item><list-item><p>Able to read and understand texts in Dutch at the B1 language level</p></list-item></list><p><bold>Exclusion criteria</bold></p><list list-type="bullet"><list-item><p>Self-reported systemic arthritis (eg, rheumatoid arthritis, gout) avoids confounding due to overlapping symptoms</p></list-item><list-item><p>Scheduled for lower limb joint surgery within the next year, as surgical interventions could affect outcomes and confound the assessment of treatment effects</p></list-item><list-item><p>Underwent lower limb joint surgery (total hip, total knee) in the last year, as recent surgery may alter symptoms and confound the assessment of treatment effects</p></list-item></list></boxed-text></sec><sec id="s2-3"><title>Recruitment</title><p>Recruitment is coordinated by the University Medical Center Utrecht and supported by different health care professionals (ie, physiotherapists, general practitioners, and an orthopedic surgeon) partnered with the research consortium. Outreach methods include online and offline leaflets, local newspaper advertisements, engagement with local health care professionals, letters from general practitioners, social media, and promotion via the Dutch Arthritis Society. Individuals who are interested in participating will be able to register via a Castor web-based study portal, phone, or email.</p></sec><sec id="s2-4"><title>Intervention</title><p>For this study, the e-cOAch version 1 web app was developed in a co-design process with a patient panel and health care professionals to ensure technical functionality, usability, and relevance. The e-cOAch version 1 is a Class IIa medical device under the European Union Medical Device Regulation (2017/745) and is used in this study under the Medical Device Regulation article 82 [<xref ref-type="bibr" rid="ref20">20</xref>]. The e-cOAch version 1 was primarily designed for data collection, with additional self-care and osteoarthritis knowledge content based on national and international hip and knee osteoarthritis guidelines [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref21">21</xref>] (<xref ref-type="table" rid="table1">Table 1</xref>).</p><table-wrap id="t1" position="float"><label>Table 1.</label><caption><p>Summary of the content of the e-cOAch.</p></caption><table id="table1" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Program</td><td align="left" valign="bottom">Summary content</td></tr></thead><tbody><tr><td align="left" valign="top">Start program (duration of 2 weeks)</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>Eight informational articles cover topics including the nature of osteoarthritis, pain mechanisms, common symptoms, self-management strategies, the importance of exercise and a healthy lifestyle, walking aids, health care professionals, and information about medication use for osteoarthritis. They include text, videos, and assignments. The information is in line with international and national guidelines [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref21">21</xref>,<xref ref-type="bibr" rid="ref22">22</xref>].</p></list-item></list></td></tr><tr><td align="left" valign="top">Physical activity promotion program (duration of 12 weeks)</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>The physical activity program builds on previous research done by our team [<xref ref-type="bibr" rid="ref23">23</xref>-<xref ref-type="bibr" rid="ref25">25</xref>]. This program aims to increase knowledge and levels of physical activity and improve muscle strength through three components:</p><list list-type="order"><list-item><p>Weekly education on movement, pain, energy management, and recommended moderate to vigorous physical activity levels</p></list-item><list-item><p>A graded activity module with baseline measurement (Fitbit Inspire 3 or self-reported physical activity), goal setting, weekly increases of moderate to vigorous physical activity, and reinforcement</p></list-item><list-item><p>Strength exercises provided via instructional videos, performed twice weekly for 20 minutes</p></list-item></list></list-item></list></td></tr><tr><td align="left" valign="top">Sleep optimization program (duration of 12 weeks)</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>Aims to improve insomnia severity through three components, in line with insomnia guidelines [<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref27">27</xref>]:</p><list list-type="order"><list-item><p>Weekly education on sleep and sleep hygiene, including recommended behaviors to promote sleep hygiene (eg, relaxation, consistent routines, environment modification, limiting caffeine, and screen time)</p></list-item><list-item><p>Behavior change support with goal setting, tailored feedback, and prompts to encourage healthier sleep habits</p></list-item><list-item><p>Mindfulness exercises such as progressive muscle relaxation and meditation [<xref ref-type="bibr" rid="ref28">28</xref>]</p></list-item></list></list-item></list></td></tr><tr><td align="left" valign="top">Weight management program (duration of 12 weeks)</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>Supports participants in adopting a healthier diet and achieving a healthier weight if needed:</p><list list-type="order"><list-item><p>Participants can monitor their weight and receive feedback on their BMI</p></list-item><list-item><p>Complete an FFQ<sup><xref ref-type="table-fn" rid="table1fn1">a</xref></sup> [<xref ref-type="bibr" rid="ref29">29</xref>] for personalized feedback and select food components to focus on. The FFQ represents the Dutch food&#x2013;based dietary guidelines [<xref ref-type="bibr" rid="ref29">29</xref>]</p></list-item><list-item><p>Participants receive daily personalized tips and weekly information on healthy eating and weight loss</p></list-item></list></list-item></list></td></tr><tr><td align="left" valign="top">Advice from a health care professional (duration is one moment of advice)</td><td align="left" valign="top"><list list-type="bullet"><list-item><p>People with severe complaints (NPRS<sup><xref ref-type="table-fn" rid="table1fn2">b</xref></sup>&#x2265;7) for 4 consecutive weeks receive information about relevant professionals. According to Dutch nutritional guidelines [<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref31">31</xref>], underweight (BMI&#x003C;18.5) or extremely overweight people (BMI&#x003E;30) are advised to visit a dietician. People with high scores of insomnia who have already participated in the sleep program are advised to visit a general practitioner or sleep specialist. Participants with a PAR-Q<sup><xref ref-type="table-fn" rid="table1fn3">c</xref></sup> score above 0 require medical clearance for the physical activity promotion program and are advised to consult a general practitioner [<xref ref-type="bibr" rid="ref32">32</xref>].</p></list-item></list></td></tr></tbody></table><table-wrap-foot><fn id="table1fn1"><p><sup>a</sup>FFQ: food frequency questionnaire.</p></fn><fn id="table1fn2"><p><sup>b</sup>NPRS: Numeric Pain Rating Score.</p></fn><fn id="table1fn3"><p><sup>c</sup>PAR-Q: Physical Activity Readiness Questionnaire.</p></fn></table-wrap-foot></table-wrap><p>The e-cOAch offers education on osteoarthritis, self-care advice (ie, physical activity promotion, weight management, and sleep optimization), and guidance on seeking professional care. Content is delivered through text, videos, and interactive assignments (<xref ref-type="table" rid="table1">Table 1</xref>). Participants who start supervised treatment with a health care professional may continue with the app or pause participation. To minimize dropout and maintain engagement, the study will combine monitoring, timely tailored reminders, and optional personal phone follow-ups. Harms and adverse events will be followed up by phone after they are reported by the participant.</p></sec><sec id="s2-5"><title>Outcome Measures and Data Collection</title><p>All outcome measures are self-reported via questionnaires in the e-cOAch. To improve inclusivity, all questionnaires are adapted to language level B1. This is in line with the Pharos guideline for understandable questionnaires [<xref ref-type="bibr" rid="ref33">33</xref>]. Pharos is a Dutch national expertise center on health equity.</p><p>The primary outcome is self-reported physical functioning, measured using the Hip Disability and Osteoarthritis Outcome Score (HOOS) [<xref ref-type="bibr" rid="ref34">34</xref>] and the Knee Injury and Osteoarthritis Outcome Score (KOOS) [<xref ref-type="bibr" rid="ref35">35</xref>]. Secondary outcomes are pain (Numeric Pain Rating Scale) and participation (Patient-Reported Outcomes Measurement Information System Experience, Short-Form version 8a) [<xref ref-type="bibr" rid="ref36">36</xref>]. All outcome measures are presented in <xref ref-type="table" rid="table2">Table 2</xref>. All selected instruments have demonstrated acceptable-to-good reliability and validity. Outcome measures are based on 2 systematic reviews and include known factors that influence physical functioning, weight management, and sleep behavior in osteoarthritis [<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref38">38</xref>]. Baseline characteristics (<xref ref-type="table" rid="table3">Table 3</xref>) will be collected at the start of using the e-cOAch, including digital health literacy. Ethnicity (Asian or non-Asian) is recorded because BMI calculations differ in Asian populations [<xref ref-type="bibr" rid="ref39">39</xref>].</p><table-wrap id="t2" position="float"><label>Table 2.</label><caption><p>Measurement instruments.</p></caption><table id="table2" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Outcomes</td><td align="left" valign="bottom">Measurement instrument</td><td align="left" valign="bottom">Measurement properties</td></tr></thead><tbody><tr><td align="left" valign="top" colspan="3">Primary outcome</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Physical functioning</td><td align="left" valign="top">The HOOS<sup><xref ref-type="table-fn" rid="table2fn1">a</xref></sup> [<xref ref-type="bibr" rid="ref34">34</xref>] or KOOS<sup><xref ref-type="table-fn" rid="table2fn2">b</xref></sup> [<xref ref-type="bibr" rid="ref35">35</xref>]</td><td align="left" valign="top">The HOOS includes 40 items, and the KOOS includes 42 items in 5 subdomains of physical functioning.<break/>Each item is rated on a 5-point Likert scale. The total scores range from 0 to 100; a higher score represents better physical functioning. Good test-retest reliability, internal consistency, and construct validity in Dutch osteoarthritis populations [<xref ref-type="bibr" rid="ref34">34</xref>].</td></tr><tr><td align="left" valign="top" colspan="3">Secondary outcomes</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Pain</td><td align="left" valign="top">NRS-11<sup><xref ref-type="table-fn" rid="table2fn3">c</xref></sup> [<xref ref-type="bibr" rid="ref40">40</xref>]</td><td align="left" valign="top">The NPRS<sup><xref ref-type="table-fn" rid="table2fn4">d</xref></sup> ranges from 0 (no pain) to 10 (worst pain imaginable). Moderate-to-good test-retest reliability and acceptable construct validity [<xref ref-type="bibr" rid="ref40">40</xref>].</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Participation</td><td align="left" valign="top">The Patient-Reported Outcomes Measurement Information System Experience, Short-Form version 8a [<xref ref-type="bibr" rid="ref36">36</xref>]</td><td align="left" valign="top">Consists of 8 items, each rated on a 5-point Likert scale. Higher scores indicate a higher ability to participate in social roles and activities. Excellent internal consistency and good construct validity [<xref ref-type="bibr" rid="ref36">36</xref>].</td></tr><tr><td align="left" valign="top" colspan="3">Other outcomes</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Stiffness</td><td align="left" valign="top">Subscale of the HOOS [<xref ref-type="bibr" rid="ref34">34</xref>] or the KOOS [<xref ref-type="bibr" rid="ref35">35</xref>]</td><td align="left" valign="top">The subscale stiffness consists of 2 items with a 5-point Likert scale. A higher score represents less stiffness. Good test-retest reliability, internal consistency, reliability, and construct validity in Dutch osteoarthritis populations [<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref35">35</xref>].</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Physical activity (self-reported)</td><td align="left" valign="top">BPAAT<sup><xref ref-type="table-fn" rid="table2fn5">e</xref></sup> [<xref ref-type="bibr" rid="ref41">41</xref>]</td><td align="left" valign="top">Two items regarding the frequency and duration of physical activity.<break/>The subject can be classified as insufficiently (0&#x2010;3 score) or sufficiently active (&#x003E;3 score). Insufficient refers to not meeting the World Health Organization guideline of 150 minutes of moderate-to-vigorous physical activity per week. Good test-retest reliability and good construct validity [<xref ref-type="bibr" rid="ref41">41</xref>].</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Physical activity (device measured)</td><td align="left" valign="top">The Fitbit Inspire 3 measures physical activity in a random subset (n=200) of the study population</td><td align="left" valign="top">Device-measured active minutes (Active Zone Minutes) will be used to assess if someone is meeting the World Health Organization guideline of 150 minutes of moderate-to-vigorous physical activity per week.</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Fatigue</td><td align="left" valign="top">The NRS-11 [<xref ref-type="bibr" rid="ref40">40</xref>]</td><td align="left" valign="top">One item reports fatigue on a scale from 0 (no fatigue) to 10 (extreme fatigue).</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Job satisfaction</td><td align="left" valign="top">The NRS-11 [<xref ref-type="bibr" rid="ref40">40</xref>]</td><td align="left" valign="top">One item reports job satisfaction on a scale from 0 (not satisfied at all) to 10 (completely satisfied).</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Depression and anxiety</td><td align="left" valign="top">HADS<sup><xref ref-type="table-fn" rid="table2fn6">f</xref></sup> [<xref ref-type="bibr" rid="ref42">42</xref>]</td><td align="left" valign="top">Fourteen items report anxiety and depression symptoms over the past month on a 4-point Likert scale. A higher score indicates more severe symptoms. Good test-retest reliability, good internal consistency and reliability, and good construct validity [<xref ref-type="bibr" rid="ref42">42</xref>].</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Experienced social support</td><td align="left" valign="top">The NRS-11 [<xref ref-type="bibr" rid="ref40">40</xref>]</td><td align="left" valign="top">One item reports experienced social support on a scale from 0 (no support) to 10 (extensive support).</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Kinesiophobia</td><td align="left" valign="top">BFOM<sup><xref ref-type="table-fn" rid="table2fn7">g</xref></sup> [<xref ref-type="bibr" rid="ref43">43</xref>]</td><td align="left" valign="top">Six items that report fear on a 5-point Likert scale from 1 (strongly disagree) to 5 (strongly agree). A higher score indicates greater fear. Good test-retest reliability, good internal consistency and reliability, and acceptable-to-good construct validity [<xref ref-type="bibr" rid="ref43">43</xref>].</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Self-efficacy</td><td align="left" valign="top">A shortened version of the ASES<sup><xref ref-type="table-fn" rid="table2fn8">h</xref></sup>, excluding the function subscale [<xref ref-type="bibr" rid="ref44">44</xref>].</td><td align="left" valign="top">Eleven items that report confidence in managing arthritis-related symptoms with a 5-point Likert scale. A higher score indicates better self-efficacy. Good test-retest reliability, good internal consistency, and good construct validity [<xref ref-type="bibr" rid="ref44">44</xref>].</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Insomnia severity</td><td align="left" valign="top">The ISI<sup><xref ref-type="table-fn" rid="table2fn9">i</xref></sup> [<xref ref-type="bibr" rid="ref45">45</xref>].</td><td align="left" valign="top">Seven items that report insomnia severity on a 5-point Likert scale. A higher score indicates more severe insomnia. Good test-retest reliability, good internal consistency, and good construct validity.</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Pain coping</td><td align="left" valign="top">The PCI<sup><xref ref-type="table-fn" rid="table2fn10">j</xref></sup> [<xref ref-type="bibr" rid="ref46">46</xref>].</td><td align="left" valign="top">Thirty-three items that report 6 coping styles on a 4-point Likert scale. The highest number indicates the coping style the participant applies most. Good internal consistency and moderate construct validity.</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Weight</td><td align="left" valign="top">Will be evaluated with a scale in the participants&#x2019; private environment.</td><td align="left" valign="top">&#x2014;<sup><xref ref-type="table-fn" rid="table2fn11">k</xref></sup></td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Physical activity readiness</td><td align="left" valign="top">The PAR-Q<sup><xref ref-type="table-fn" rid="table2fn12">l</xref></sup> [<xref ref-type="bibr" rid="ref32">32</xref>].</td><td align="left" valign="top">Seven yes or no questions about health conditions. If any yes answers are given, medical clearance may be needed before starting activity programs. In this study, the question about joint pain is excluded, since all participants will answer yes. Reliability is not applicable, but criterion validity is acceptable [<xref ref-type="bibr" rid="ref47">47</xref>].</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Sleep quality</td><td align="left" valign="top">The PSQI<sup><xref ref-type="table-fn" rid="table2fn13">m</xref></sup> [<xref ref-type="bibr" rid="ref48">48</xref>].</td><td align="left" valign="top">Nineteen items that report sleep quality over the past month on a 4-point Likert scale. A higher score indicates poorer sleep quality. Acceptable-to-good test-retest reliability, internal consistency and good criterion validity [<xref ref-type="bibr" rid="ref48">48</xref>].</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Health care utilization</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">One yes or no question that evaluates if participants have received any care in the past month for their osteoarthritis complaints. If they answered yes, participants can choose between a list of health care professionals.</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Relevance of advice</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">The relevance of advice in the e-cOAch (one of the programs or consulting a health care professional). One item on a 5-point Likert scale. A higher score indicates more relevant advice.</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Timing of advice</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">The relevance of advice in the e-cOAch (one of the programs or consulting a health care professional). One item on a 5-point Likert scale. A higher score indicates better timing of the advice.</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Attitude</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">Attitude is reported by 3-6 questions about the target behavior on a 4-point Likert scale. For example, &#x201C;Do you find it important to [target behavior]?&#x201D;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Intention</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">Intention is reported by 3 questions about the target behavior on a 4-point Likert scale. For example, &#x201C;How strong do you plan to [target behavior]?&#x201D;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Perceived behavioral control</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">Perceived behavioral control is assessed by 4 questions about the target behavior on a 4-point Likert scale. For example, &#x201C;How much control do you have on [target behavior]?&#x201D;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Engagement</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">Session start times, session duration, pages visited per session, total number of clicks, reminders that were opened, reminders that led user to start app, interaction with content items, and 5-point Likert scale rating for information in the app.</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Digital literacy</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">One question that screens digital literacy on a 5-point Likert scale: &#x201C;How handy are you with apps?&#x201D;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Health literacy</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">One question that screens health literacy on a 5-point Likert scale: &#x201C;How confident are you filling out medical forms by yourself?&#x201D; Good concurrent criterion validity compared with the reference standard [<xref ref-type="bibr" rid="ref49">49</xref>].</td></tr></tbody></table><table-wrap-foot><fn id="table2fn1"><p><sup>a</sup>HOOS: Hip Disability and Osteoarthritis Outcome Score.</p></fn><fn id="table2fn2"><p><sup>b</sup>KOOS: Knee Injury and Osteoarthritis Outcome Score.</p></fn><fn id="table2fn3"><p><sup>c</sup>NRS-11: 11-item Numeric Rating Scale.</p></fn><fn id="table2fn4"><p><sup>d</sup>NPRS: Numeric Pain Rating Scale.</p></fn><fn id="table2fn5"><p><sup>e</sup>BPAAT: Brief Physical Activity Assessment Tool.</p></fn><fn id="table2fn6"><p><sup>f</sup>HADS: Hospital Anxiety and Depression Scale.</p></fn><fn id="table2fn7"><p><sup>g</sup>BFOM: Brief Fear of Moving.</p></fn><fn id="table2fn8"><p><sup>h</sup>ASES: Arthritis Self-Efficacy Scale.</p></fn><fn id="table2fn9"><p><sup>i</sup>ISI: Insomnia Severity Index.</p></fn><fn id="table2fn10"><p><sup>j</sup>PCI: Pain Coping Inventory.</p></fn><fn id="table2fn11"><p><sup>k</sup>Not applicable.</p></fn><fn id="table2fn12"><p><sup>l</sup>PAR-Q: Physical Activity Readiness Questionnaire.</p></fn><fn id="table2fn13"><p><sup>m</sup>PSQI: Pittsburgh Sleep Quality Index.</p></fn></table-wrap-foot></table-wrap><table-wrap id="t3" position="float"><label>Table 3.</label><caption><p>Measurement timepoints.</p></caption><table id="table3" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Week</td><td align="left" valign="bottom">1</td><td align="left" valign="bottom">3</td><td align="left" valign="bottom">5</td><td align="left" valign="bottom">7</td><td align="left" valign="bottom">9</td><td align="left" valign="bottom">11</td><td align="left" valign="bottom">13</td><td align="left" valign="bottom">14 until 51<sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="bottom">52</td></tr></thead><tbody><tr><td align="left" valign="top">Characteristics</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Date of birth</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Sex</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Height</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Level of education</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Comorbidity</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top">&#x2713;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Type osteoarthritis</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Ethnicity (Asian or non-Asian)</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Use of a walking device</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top">&#x2713;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Use of pain medication</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top">&#x2713;</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Device for e-cOAch</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Duration of osteoarthritis complaints</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Health literacy</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Digital literacy</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Smoking</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Alcohol use</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Sleep quality</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Health care utilization</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top">&#x2713;</td></tr><tr><td align="left" valign="top" colspan="10">Primary outcome</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Physical functioning</td><td align="left" valign="top"/><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top" colspan="10">Secondary outcomes</td></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Pain</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Stiffness</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Physical activity (min)</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Participation</td><td align="left" valign="top"/><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Job satisfaction</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Depression and anxiety</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Social support</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Kinesiophobia</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Pain coping</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Physical activity readiness</td><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Fatigue</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Self-efficacy</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Insomnia severity</td><td align="left" valign="top"/><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Weight</td><td align="left" valign="top"/><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top">&#x2713;</td><td align="left" valign="top"><sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top"/></tr><tr><td align="left" valign="top">Self-care program outcomes</td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Sleep optimization: insomnia severity<sup><xref ref-type="table-fn" rid="table3fn2">b</xref></sup></td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Weight management: weight<sup><xref ref-type="table-fn" rid="table3fn2">b</xref></sup></td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Physical activity promotion: physical activity<sup><xref ref-type="table-fn" rid="table3fn2">b</xref></sup></td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr><tr><td align="left" valign="top"><named-content content-type="indent">&#x00A0;&#x00A0;&#x00A0;&#x00A0;</named-content>Attitude, intention, and perceived behavioral control<sup><xref ref-type="table-fn" rid="table3fn3">c</xref></sup></td><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/><td align="left" valign="top"/></tr></tbody></table><table-wrap-foot><fn id="table3fn1"><p><sup>a</sup>Pattern of the measurements between week 3 and 13 repeats from week 14 until week 51.</p></fn><fn id="table3fn2"><p><sup>b</sup>These measurements take place before and after the self-care programs.</p></fn><fn id="table3fn3"><p><sup>c</sup>These measurements take place before the self-care programs.</p></fn></table-wrap-foot></table-wrap><p>Baseline and follow-up assessments are conducted remotely and distributed over 52 weeks to minimize participant burden. Pain, physical activity, and stiffness are assessed biweekly, while slower-changing outcomes are measured every 10 weeks (<xref ref-type="table" rid="table3">Table 3</xref>).</p></sec><sec id="s2-6"><title>Randomization and Blinding</title><p>In total, 18 sequences of the self-care programs are possible due to the restriction that participants cannot end the study with the control period. Participants are assigned to one of the 18 sequences (<xref ref-type="table" rid="table1">Table 1</xref>, <xref ref-type="fig" rid="figure1">Figure 1</xref>). Each sequence consists of three 12-week self-care programs: physical activity promotion, weight management, and sleep optimization, as well as a 12-week control period. Programs start at weeks 3, 15, 27, and 39. Each program is delivered once per participant consecutively, without intermissions.</p><p>Randomization is performed at baseline using a computer-generated allocation sequence embedded within the e-cOAch web app, assigning participants with equal probability to one of the 18 intervention sequences. Allocation was computer generated and concealed until disclosure by an independent staff member before baseline assessment.</p><p>For safety reasons, extremely underweight participants (BMI&#x003C;17.5) are not assigned to the weight management program; these participants instead follow a 12-week no-intervention period and are advised to consult a dietitian. Additionally, underweight participants (BMI&#x003C;18.5), overweight participants (BMI&#x003E;30), or those requiring medical clearance for physical activity (Physical Activity Readiness Questionnaire &#x003E;0), are advised to consult a health care professional but remain eligible for all programs.</p><p>The study is conducted in an open-label design, as blinding participants and researchers is not feasible given the nature of the self-care programs.</p></sec><sec id="s2-7"><title>Sample Size</title><p>We aim to recruit 600 participants within 6 months. Data will be split into training and test sets for the development and validation of predictive algorithms. A random subset of the data will be reserved for testing to evaluate model performance on unseen data [<xref ref-type="bibr" rid="ref50">50</xref>].</p><p>Combining multiple predictors and allowing for nonlinear relationships is expected to improve the prediction of pain, physical functioning, and participation [<xref ref-type="bibr" rid="ref50">50</xref>]. A large sample is therefore required to capture diverse combinations of participant characteristics and support model validation. Following standard practice, 20% to 30% of the data will be used for testing and 70% to 80% for training [<xref ref-type="bibr" rid="ref50">50</xref>], resulting in an estimated 100 to 150 participants in the test set.</p><p>To account for an anticipated 15% dropout [<xref ref-type="bibr" rid="ref14">14</xref>], we aim to recruit 600 participants, yielding an expected final sample size of approximately 510 participants. Given the high prevalence of osteoarthritis and the broad reach of project partners, this recruitment target is considered feasible.</p></sec><sec id="s2-8"><title>Statistical Analysis Plan</title><sec id="s2-8-1"><title>Overview of Statistical Analysis</title><p>The primary objective of this study is to develop and evaluate data-driven models that support personalized recommendations on the optimal timing and optimal advice (physical activity promotion, sleep optimization, and weight management) for individuals with hip or knee osteoarthritis. In other words, the study aims to identify a dynamic treatment regime. To achieve this objective, the following steps will be taken to develop and evaluate 2 data-driven models.</p></sec><sec id="s2-8-2"><title>Step A: Data Preparation and Missing Data</title><p>Before model development, data completeness and patterns of missingness will be examined. Missing data are expected due to the longitudinal design and repeated measurements. All analyses will include all randomized participants and will follow the intention-to-treat principle. When appropriate, missing values will be handled using multiple imputation by chained equations under a missing-at-random assumption. Sensitivity analyses will be conducted to assess the robustness of results to alternative missing-data assumptions. Information on reasons for dropout will be used to support assumptions regarding missing data mechanisms. Time to dropout will additionally be considered a process in longitudinal analyses where relevant. To obtain a reliable estimate of model performance and uncertainty, we will use cross-validation and bootstrapping as recommended in the TRIPOD + AI statement [<xref ref-type="bibr" rid="ref51">51</xref>].</p></sec><sec id="s2-8-3"><title>Step B: Prediction of Deterioration Over Time (Optimal Timing)</title><p>Prediction models will be developed to identify individuals at risk of deterioration in physical functioning (primary outcome) and pain and participation (secondary outcomes), over 12 weeks.</p><p>Deterioration is operationalized as a decrease in the HOOS subscale activities of daily living (ADL) of 6.7 [<xref ref-type="bibr" rid="ref52">52</xref>] or the KOOS subscale ADL of 8.2 [<xref ref-type="bibr" rid="ref53">53</xref>] (in line with the minimal important change). The HOOS and KOOS ADL subscales were selected as the primary outcome because they are disease-specific, sensitive to meaningful change, and directly reflect physical functioning relevant to daily life in people with hip or knee osteoarthritis. The appropriateness of these thresholds will be evaluated as part of a sensitivity analysis by testing alternative cut-off values and assessing their impact on predictive performance.</p><p>Supervised machine learning models will be trained using longitudinal data and relevant characteristics, including demographics and physical functioning at baseline. Internal validation will be performed using resampling techniques, including cross-validation and bootstrapping, to assess model performance in terms of calibration and discrimination. Model development and reporting will follow the TRIPOD + AI guidelines for prediction modeling studies [<xref ref-type="bibr" rid="ref51">51</xref>].</p></sec><sec id="s2-8-4"><title>Step C: Estimating the Effectiveness of Self-Care Programs (Optimal Advice)</title><p>To determine which self-care program is most beneficial for individual patients, causal machine learning methods will be applied, leveraging the randomized cross-over design and the longitudinal data structure.</p><p>To support personalized self-care, the causal effects of each self-care program will be estimated using program-specific outcomes that directly reflect the intended targets of the interventions. Specifically, the causal effect of the physical activity promotion program on meeting the physical activity guideline (&#x2265;150 minutes of moderate to vigorous intensity physical activity per week; yes/no), the weight management program on body weight (kg), and the sleep optimization program on improvement in insomnia severity will be evaluated. Together, the estimated effects of each program will allow us to determine the optimal dynamic treatment regime.</p><p>Causal effects will be estimated using doubly robust methods, including longitudinal targeted maximum likelihood estimation [<xref ref-type="bibr" rid="ref54">54</xref>,<xref ref-type="bibr" rid="ref55">55</xref>] and classification-based approaches such as support vector machines and regression trees. These methods can account for time-varying treatments and treatment-confounder feedback inherent to the longitudinal and cross-over design [<xref ref-type="bibr" rid="ref55">55</xref>]. An ongoing literature review informs the final selection of methods for estimating causal effects. To address potential period and carryover effects inherent to the cross-over design, models will include time and period indicators, and sensitivity analyses will be conducted to assess the robustness of estimated causal effects.</p><p>Heterogeneous treatment effects will be explored by evaluating effect modification across predefined subgroups based on psychosocial and behavioral predictors identified in prior literature [<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref56">56</xref>].</p><p>By focusing on program-specific outcomes, these analyses provide actionable information on which self-care program is most likely to be effective for an individual at a given time point. Downstream effects on physical functioning, pain, and participation will be explored in subsequent analyses. Detailed reporting on model building steps, parameter tuning, validation, and the comparison of multiple models will be provided.</p></sec><sec id="s2-8-5"><title>Step D: Use of Wearable Data</title><p>In a subset of participants, wearable-derived physical activity data will be collected and used as time-varying covariates in the causal analyses. Moderate-to-vigorous physical activity will be approximated using the Fitbit-derived metric &#x201C;Active Zone Minutes,&#x201D; which reflects time spent in activity above personalized heart-rate thresholds.</p></sec><sec id="s2-8-6"><title>Step E: Model Validation and Robustness</title><p>Internal validation will be performed using resampling techniques to estimate model performance and uncertainty. Sensitivity analyses will be conducted to assess the impact of missing data and modeling assumptions on both predictive and causal estimates. Model code, analysis scripts, and model versions will be managed using a Git-based workflow to ensure transparency and reproducibility.</p></sec></sec><sec id="s2-9"><title>Ethical Considerations</title><p>This study has been reviewed and approved by the NedMec Medical Ethical Committee under the following reference: NL87119.041.24. The study will be conducted according to the principles of the Declaration of Helsinki (version 13) and following the Medical Research Involving Human Subjects Act. Furthermore, the study will adhere to the General Data Protection Regulation to ensure the protection of personal data and the Medical Device Regulation where applicable. The University Medical Center Utrecht is the sponsor of this study and can be contacted through the corresponding author. Any protocol deviations will be communicated to relevant parties. Informed consent will be obtained digitally via Castor eConsent. After registration, individuals will receive detailed study information. After at least 1 week, they will be contacted by telephone to confirm eligibility and understanding before providing consent. Eligible participants will be asked to sign the consent form digitally. Paper consent will be available upon request. Participants can opt out of the study at any moment by contacting the research staff through phone or email.</p></sec><sec id="s2-10"><title>Reflexivity and Positionality</title><p>Reflexivity enhances transparency and rigor in research by prompting researchers to acknowledge how their assumptions and positionalities influence design, analysis, and interpretation [<xref ref-type="bibr" rid="ref57">57</xref>]. This study is conducted within a multidisciplinary consortium including specialists in behavior change, psychology, vulnerable groups, computer science, and physiotherapy, whose diverse professional lenses shape our design choices and interpretations. Guided by a pragmatic epistemological stance, we view knowledge as generated through the combined insights of researchers, participants, and their real-world context [<xref ref-type="bibr" rid="ref58">58</xref>]. To counterbalance disciplinary assumptions, individuals with lived experience of osteoarthritis are acting as consultative contributors: they reviewed the protocol during its development and may collaborate with the research team during the interpretation of the findings. Their involvement and ongoing reflexive team discussions can improve the research quality by challenging researcher assumptions and strengthening interpretation [<xref ref-type="bibr" rid="ref59">59</xref>].</p></sec></sec><sec id="s3" sec-type="results"><title>Results</title><p>The funding for the study was granted in 2023. At the time of manuscript submission, 520 participants had been recruited. Recruitment is expected to be completed in March 2026, with data collection projected to conclude in April 2027. The publication of the results is anticipated in spring 2028.</p></sec><sec id="s4" sec-type="discussion"><title>Discussion</title><p>This study aims to develop data-driven models to support personalized recommendations regarding the optimal timing of self-care programs for individuals with hip or knee osteoarthritis.</p><p>Existing digital osteoarthritis self-management tools are typically limited in duration and focus primarily on education and short-term symptom management [<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref60">60</xref>,<xref ref-type="bibr" rid="ref61">61</xref>]. In contrast, this study develops data-driven models to forecast symptom changes and deliver personalized, just-in-time self-management advice, which may improve outcomes by providing support when it is most useful [<xref ref-type="bibr" rid="ref62">62</xref>].</p><p>A key strength of this study is its inclusive design, which facilitates accessibility for individuals with varying levels of digital health literacy. These groups are often underrepresented in digital health research and require additional support to participate [<xref ref-type="bibr" rid="ref63">63</xref>-<xref ref-type="bibr" rid="ref65">65</xref>]. We will therefore adjust our recruitment to target these groups by personal contact through health care professionals. Also, all content and questionnaires were adapted to the language level B1. This is in line with the Pharos guideline for understandable questionnaires [<xref ref-type="bibr" rid="ref33">33</xref>]. We test whether the translated questionnaires retain the validity of the original questionnaires in a separate ongoing study.</p><p>Although this study explicitly aims to include individuals with different levels of digital health literacy, it was screened using a brief 2-item screener with a predefined cutoff to limit participant burden in this large, longitudinal study. This pragmatic choice was made in the context of considerable heterogeneity in existing digital and eHealth literacy instruments, for which no universally accepted gold standard currently exists [<xref ref-type="bibr" rid="ref66">66</xref>,<xref ref-type="bibr" rid="ref67">67</xref>]. Rather than conducting a comprehensive multidimensional assessment, this approach was intended to provide a pragmatic indication of participants&#x2019; affinity with smartphone apps and their fit with the e-cOAch app. As digital health literacy is a multidimensional construct, this approach may not fully capture all relevant skills and could result in some misclassification. This limitation should be considered when interpreting subgroup analyses, and future studies may benefit from using validated digital health literacy measures where feasible.</p><p>Maintaining participant engagement is a well-known challenge in digital health studies, with pooled dropout rates of 43% in digital health interventions for chronic diseases [<xref ref-type="bibr" rid="ref68">68</xref>]. High dropout rates may contribute to data absenteeism, bias AI models, and reduce generalizability [<xref ref-type="bibr" rid="ref65">65</xref>,<xref ref-type="bibr" rid="ref69">69</xref>]. To minimize dropout and maintain engagement, the study combines monitoring, timely tailored reminders, periodic study newsletters providing updates, optional personal phone follow-ups, incentives for achieving certain completion rates, and program personalization [<xref ref-type="bibr" rid="ref14">14</xref>]. The patient panel tested e-cOAch version 1, and their feedback was used to refine the app&#x2019;s usability, readability, and navigability [<xref ref-type="bibr" rid="ref70">70</xref>]. This approach supports the development of AI models for e-cOAch and other digital self-management tools that are representative of a broad population.</p><p>A limitation is that while we aim to identify predictors of changes in physical functioning, these outcomes will also be influenced by the self-care programs participants receive. Therefore, associations between measurements may reflect both underlying prognostic factors and the effects of self-care programs. In addition, physical functioning in osteoarthritis is influenced by many factors [<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref38">38</xref>], making it difficult to capture in a dataset. The results should be interpreted with caution, as predictive associations may reflect intervention effects, and validation in populations not receiving self-care advice may be needed.</p><p>This study will deliver data-driven models to support personalized recommendations on the optimal timing of self-care programs (physical activity, sleep, and weight management) for individuals with hip or knee osteoarthritis. These models will be integrated into a new iteration of e-cOAch (version 2) and evaluated in a future effectiveness study. In addition, the data from this cross-over study will address several further research questions. First, can distinct subgroups of individuals with hip or knee osteoarthritis be identified based on determinants of self-management behavior? Second, what is the course of symptom flare-ups in people with hip and knee osteoarthritis, and which factors predict their occurrence over time? Third, how do individuals with hip or knee osteoarthritis score on participation, and which personal or contextual factors are associated with participation outcomes? Finally, how do people with hip and/or knee osteoarthritis sleep and what is the association between weight, physical activity, pain, and quality of life?</p></sec></body><back><ack><p>We thank all members of the SMART consortium for their contribution.</p><p>The authors declare the use of generative artificial intelligence (GAI) in the research and writing process. According to the GAIDeT taxonomy (2025), the following tasks were delegated to GAI tools under full human supervision: proofreading and editing, translation, and reformatting. The GAI tool used was ChatGPT-5. Responsibility for the final manuscript lies entirely with the authors. GAI tools are not listed as authors and do not bear responsibility for the final outcomes.</p><p>Declaration submitted by: FG.</p></ack><notes><sec><title>Funding</title><p>This publication is part of the project SMART with project number KICH1.GZ03.21.005 of the research program "Access to Care in the Living Environment," which is (partly) funded by the Dutch Research Council (NWO) from 2023 to 2029. There will be no involvement of any kind in the public disclosure of the study&#x2019;s results. The funder had no involvement in the study design, data collection, analysis, interpretation, or the writing of the manuscript.</p></sec><sec><title>Data Availability</title><p>As the data are privacy-sensitive, we will publish descriptive metadata in the data repository, including instructions for making a data request (by sending an email to the corresponding author). All data and documents in the data package will be shared under restrictions. The data package will contain the raw data, the study protocol describing the methods and materials, the script to process the data, the scripts leading to tables and figures in the publication, a codebook with explanations on the variable names, and a &#x201C;read_me.txt&#x201D; file with an overview of files included and their content and use. The final prediction algorithms, including model specifications and parameter settings, will be made available upon request after the completion of the research project. Trial results will be communicated to participants and the public by plain language summaries through our consortium. A data management plan is available on DMPonline with the reference: KICH1.GZ03.21.005 [<xref ref-type="bibr" rid="ref71">71</xref>]. Given the low-risk nature of the study, no independent data monitoring committee was established. The monitoring of the trial conduct occurs four times during the trial.</p></sec></notes><fn-group><fn fn-type="con"><p>FG was the major contributor to writing the manuscript and consulted MdR for feedback. CV, CJJK, TJH, MdR, and MFP formed a working group in which the study methods and intervention were developed and discussed. AA-J wrote the statistical analysis section with input from MCAK. ESvH developed the e-cOAch web app. All authors contributed to the refinement of the study methods within the SMART consortium and read and approved the final manuscript.</p></fn><fn fn-type="conflict"><p>None declared.</p></fn></fn-group><glossary><title>Abbreviations</title><def-list><def-item><term id="abb1">ADL</term><def><p>activities of daily living</p></def></def-item><def-item><term id="abb2">AI</term><def><p>artificial intelligence</p></def></def-item><def-item><term id="abb3">HOOS</term><def><p>Hip Disability and Osteoarthritis Outcome Score</p></def></def-item><def-item><term id="abb4">KOOS</term><def><p>Knee Injury and Osteoarthritis Outcome Score</p></def></def-item><def-item><term id="abb5">SPIRIT</term><def><p>Standard Protocol Items: Recommendations for Interventional Trials</p></def></def-item><def-item><term id="abb6">TRIPOD</term><def><p>Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis</p></def></def-item></def-list></glossary><ref-list><title>References</title><ref id="ref1"><label>1</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Steinmetz</surname><given-names>JD</given-names> </name><name name-style="western"><surname>Culbreth</surname><given-names>GT</given-names> </name><name name-style="western"><surname>Haile</surname><given-names>LM</given-names> </name><collab>GBD 2021 Osteoarthritis Collaborators</collab><etal/></person-group><article-title>Global, regional, and national burden of osteoarthritis, 1990&#x2013;2020 and projections to 2050: a systematic analysis for the Global Burden of Disease Study 2021</article-title><source>Lancet Rheumatol</source><year>2023</year><month>09</month><volume>5</volume><issue>9</issue><fpage>e508</fpage><lpage>e522</lpage><pub-id pub-id-type="doi">10.1016/S2665-9913(23)00163-7</pub-id></nlm-citation></ref><ref id="ref2"><label>2</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Hunter</surname><given-names>DJ</given-names> </name><name name-style="western"><surname>Bierma-Zeinstra</surname><given-names>S</given-names> </name></person-group><article-title>Osteoarthritis</article-title><source>Lancet</source><year>2019</year><month>04</month><day>27</day><volume>393</volume><issue>10182</issue><fpage>1745</fpage><lpage>1759</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(19)30417-9</pub-id><pub-id pub-id-type="medline">31034380</pub-id></nlm-citation></ref><ref id="ref3"><label>3</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Wallis</surname><given-names>JA</given-names> </name><name name-style="western"><surname>Taylor</surname><given-names>NF</given-names> </name><name name-style="western"><surname>Bunzli</surname><given-names>S</given-names> </name><name name-style="western"><surname>Shields</surname><given-names>N</given-names> </name></person-group><article-title>Experience of living with knee osteoarthritis: a systematic review of qualitative studies</article-title><source>BMJ Open</source><year>2019</year><month>09</month><day>24</day><volume>9</volume><issue>9</issue><fpage>e030060</fpage><pub-id pub-id-type="doi">10.1136/bmjopen-2019-030060</pub-id><pub-id pub-id-type="medline">31551381</pub-id></nlm-citation></ref><ref id="ref4"><label>4</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Bieleman</surname><given-names>HJ</given-names> </name><name name-style="western"><surname>Oosterveld</surname><given-names>FGJ</given-names> </name><name name-style="western"><surname>Oostveen</surname><given-names>JCM</given-names> </name><name name-style="western"><surname>Reneman</surname><given-names>MF</given-names> </name><name name-style="western"><surname>Groothoff</surname><given-names>JW</given-names> </name></person-group><article-title>Work participation and health status in early osteoarthritis of the hip and/or knee: a comparison between the Cohort Hip and Cohort Knee and the Osteoarthritis Initiative</article-title><source>Arthritis Care Res</source><year>2010</year><month>05</month><volume>62</volume><issue>5</issue><fpage>683</fpage><lpage>689</lpage><pub-id pub-id-type="doi">10.1002/acr.20112</pub-id></nlm-citation></ref><ref id="ref5"><label>5</label><nlm-citation citation-type="report"><article-title>KNGF-richtlijn artrose heup-knie: conservatieve, pre- en postoperatieve behandeling [Report in Dutch]</article-title><year>2018</year><access-date>2026-05-16</access-date><publisher-name>Koninklijk Nederlands Genootschap voor Fysiotherapie</publisher-name><comment><ext-link ext-link-type="uri" xlink:href="https://reumanetnl.nl/wp-content/uploads/2019/06/KNGF-praktijkrichtlijn-Artrose-heup-knie-2018.pdf">https://reumanetnl.nl/wp-content/uploads/2019/06/KNGF-praktijkrichtlijn-Artrose-heup-knie-2018.pdf</ext-link></comment></nlm-citation></ref><ref id="ref6"><label>6</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Belo</surname><given-names>JN</given-names> </name><name name-style="western"><surname>Bierma-Zeinstra</surname><given-names>SMA</given-names> </name><name name-style="western"><surname>Kuijpers</surname><given-names>T</given-names> </name><etal/></person-group><article-title>NHG-standaard niet-traumatische knieklachten [Article in Dutch]</article-title><source>Huisarts Wet</source><year>2016</year><month>10</month><access-date>2026-05-16</access-date><volume>59</volume><fpage>62</fpage><lpage>66</lpage><comment><ext-link ext-link-type="uri" xlink:href="https://www.henw.org/system/files/download/HW59-62.pdf">https://www.henw.org/system/files/download/HW59-62.pdf</ext-link></comment></nlm-citation></ref><ref id="ref7"><label>7</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Wu</surname><given-names>Z</given-names> </name><name name-style="western"><surname>Zhou</surname><given-names>R</given-names> </name><name name-style="western"><surname>Zhu</surname><given-names>Y</given-names> </name><etal/></person-group><article-title>Self&#x2010;management for knee osteoarthritis: a systematic review and meta&#x2010;analysis of randomized controlled trials</article-title><source>Pain Res Manag</source><year>2022</year><volume>2022</volume><fpage>2681240</fpage><pub-id pub-id-type="doi">10.1155/2022/2681240</pub-id><pub-id pub-id-type="medline">35281344</pub-id></nlm-citation></ref><ref id="ref8"><label>8</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Smink</surname><given-names>AJ</given-names> </name><name name-style="western"><surname>van den Ende</surname><given-names>CHM</given-names> </name><name name-style="western"><surname>Vliet Vlieland</surname><given-names>TPM</given-names> </name><etal/></person-group><article-title>&#x201C;Beating osteoARThritis&#x201D;: development of a stepped care strategy to optimize utilization and timing of non-surgical treatment modalities for patients with hip or knee osteoarthritis</article-title><source>Clin Rheumatol</source><year>2011</year><month>12</month><volume>30</volume><issue>12</issue><fpage>1623</fpage><lpage>1629</lpage><pub-id pub-id-type="doi">10.1007/s10067-011-1835-x</pub-id><pub-id pub-id-type="medline">21887488</pub-id></nlm-citation></ref><ref id="ref9"><label>9</label><nlm-citation citation-type="report"><article-title>Stepped care en regionale verschillen in artrosezorg: een analyse van de zorg voor knie- en heupartrose in de huisartsenzorg, fysiotherapie en orthopedie [Report in Dutch]</article-title><year>2025</year><access-date>2026-05-16</access-date><publisher-name>FysioNieuws</publisher-name><comment><ext-link ext-link-type="uri" xlink:href="https://fysionieuws.nl/wp-content/uploads/2025/08/Steppedcare.pdf">https://fysionieuws.nl/wp-content/uploads/2025/08/Steppedcare.pdf</ext-link></comment></nlm-citation></ref><ref id="ref10"><label>10</label><nlm-citation citation-type="web"><article-title>Osteoarthritis in over 16s: diagnosis and management</article-title><source>National Institute for Health and Care Excellence</source><year>2022</year><access-date>2026-05-16</access-date><comment><ext-link ext-link-type="uri" xlink:href="https://www.nice.org.uk/guidance/ng226">https://www.nice.org.uk/guidance/ng226</ext-link></comment></nlm-citation></ref><ref id="ref11"><label>11</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Moseng</surname><given-names>T</given-names> </name><name name-style="western"><surname>Vliet Vlieland</surname><given-names>TPM</given-names> </name><name name-style="western"><surname>Battista</surname><given-names>S</given-names> </name><etal/></person-group><article-title>EULAR recommendations for the non-pharmacological core management of hip and knee osteoarthritis: 2023 update</article-title><source>Ann Rheum Dis</source><year>2024</year><month>05</month><day>15</day><volume>83</volume><issue>6</issue><fpage>730</fpage><lpage>740</lpage><pub-id pub-id-type="doi">10.1136/ard-2023-225041</pub-id><pub-id pub-id-type="medline">38212040</pub-id></nlm-citation></ref><ref id="ref12"><label>12</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Shah</surname><given-names>N</given-names> </name><name name-style="western"><surname>Costello</surname><given-names>K</given-names> </name><name name-style="western"><surname>Mehta</surname><given-names>A</given-names> </name><name name-style="western"><surname>Kumar</surname><given-names>D</given-names> </name></person-group><article-title>Applications of digital health technologies in knee osteoarthritis: narrative review</article-title><source>JMIR Rehabil Assist Technol</source><year>2022</year><month>06</month><day>8</day><volume>9</volume><issue>2</issue><fpage>e33489</fpage><pub-id pub-id-type="doi">10.2196/33489</pub-id><pub-id pub-id-type="medline">35675102</pub-id></nlm-citation></ref><ref id="ref13"><label>13</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Safari</surname><given-names>R</given-names> </name><name name-style="western"><surname>Jackson</surname><given-names>J</given-names> </name><name name-style="western"><surname>Sheffield</surname><given-names>D</given-names> </name></person-group><article-title>Digital self-management interventions for people with osteoarthritis: systematic review with meta-analysis</article-title><source>J Med Internet Res</source><year>2020</year><month>07</month><day>20</day><volume>22</volume><issue>7</issue><fpage>e15365</fpage><pub-id pub-id-type="doi">10.2196/15365</pub-id><pub-id pub-id-type="medline">32706657</pub-id></nlm-citation></ref><ref id="ref14"><label>14</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Patten</surname><given-names>RK</given-names> </name><name name-style="western"><surname>Tacey</surname><given-names>A</given-names> </name><name name-style="western"><surname>Pile</surname><given-names>R</given-names> </name><etal/></person-group><article-title>Digital self-management interventions for osteoarthritis: a systematic scoping review of intervention characteristics, adherence and attrition</article-title><source>Arch Public Health</source><year>2022</year><month>03</month><day>31</day><volume>80</volume><issue>1</issue><fpage>103</fpage><pub-id pub-id-type="doi">10.1186/s13690-022-00854-x</pub-id><pub-id pub-id-type="medline">35361270</pub-id></nlm-citation></ref><ref id="ref15"><label>15</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Alkhuzaimi</surname><given-names>F</given-names> </name><name name-style="western"><surname>Rainey</surname><given-names>D</given-names> </name><name name-style="western"><surname>Brown Wilson</surname><given-names>C</given-names> </name><name name-style="western"><surname>Bloomfield</surname><given-names>J</given-names> </name></person-group><article-title>The impact of mobile health interventions on service users&#x2019; health outcomes and the role of health professions: a systematic review of systematic reviews</article-title><source>BMC Digit Health</source><year>2025</year><volume>3</volume><issue>1</issue><fpage>3</fpage><pub-id pub-id-type="doi">10.1186/s44247-024-00143-3</pub-id></nlm-citation></ref><ref id="ref16"><label>16</label><nlm-citation citation-type="book"><person-group person-group-type="author"><name name-style="western"><surname>Matheny</surname><given-names>M</given-names> </name><name name-style="western"><surname>Israni</surname><given-names>ST</given-names> </name><name name-style="western"><surname>Whicher</surname><given-names>D</given-names> </name><name name-style="western"><surname>Ahmed</surname><given-names>M</given-names> </name></person-group><source>Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril</source><year>2022</year><publisher-name>National Academies Press</publisher-name><pub-id pub-id-type="doi">10.17226/27111</pub-id></nlm-citation></ref><ref id="ref17"><label>17</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Kulnik</surname><given-names>ST</given-names> </name><name name-style="western"><surname>Carrozzo</surname><given-names>AE</given-names> </name><name name-style="western"><surname>Crutzen</surname><given-names>R</given-names> </name></person-group><article-title>Persistent carry-over in a two-period randomised crossover design for behavioural interventions without the expectation of return to baseline after intervention cessation</article-title><source>Trials</source><year>2025</year><month>12</month><day>4</day><volume>26</volume><issue>1</issue><fpage>561</fpage><pub-id pub-id-type="doi">10.1186/s13063-025-09358-9</pub-id><pub-id pub-id-type="medline">41345689</pub-id></nlm-citation></ref><ref id="ref18"><label>18</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Shi</surname><given-names>D</given-names> </name><name name-style="western"><surname>Ye</surname><given-names>T</given-names> </name></person-group><article-title>Behavioral carry-over effect and power consideration in crossover trials</article-title><source>Biometrics</source><year>2024</year><month>03</month><day>27</day><volume>80</volume><issue>2</issue><fpage>ujae023</fpage><pub-id pub-id-type="doi">10.1093/biomtc/ujae023</pub-id><pub-id pub-id-type="medline">38563531</pub-id></nlm-citation></ref><ref id="ref19"><label>19</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Chan</surname><given-names>AW</given-names> </name><name name-style="western"><surname>Boutron</surname><given-names>I</given-names> </name><name name-style="western"><surname>Hopewell</surname><given-names>S</given-names> </name><etal/></person-group><article-title>SPIRIT 2025 statement: updated guideline for protocols of randomised trials</article-title><source>BMJ</source><year>2025</year><month>04</month><day>28</day><volume>389</volume><fpage>e081477</fpage><pub-id pub-id-type="doi">10.1136/bmj-2024-081477</pub-id><pub-id pub-id-type="medline">40294953</pub-id></nlm-citation></ref><ref id="ref20"><label>20</label><nlm-citation citation-type="report"><article-title>Regulation (EU) 2017/745 of the European Parliament and of the Council of 5 April 2017 on medical devices, amending Directive 2001/83/EC, Regulation (EC) no 178/2002 and Regulation (EC) no 1223/2009 and repealing Council Directives 90/385/EEC and 93/42/EEC (Text with EEA relevance)</article-title><year>2017</year><access-date>2026-05-22</access-date><publisher-name>European Union</publisher-name><comment><ext-link ext-link-type="uri" xlink:href="http://data.europa.eu/eli/reg/2017/745/oj">http://data.europa.eu/eli/reg/2017/745/oj</ext-link></comment></nlm-citation></ref><ref id="ref21"><label>21</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Bannuru</surname><given-names>RR</given-names> </name><name name-style="western"><surname>Osani</surname><given-names>MC</given-names> </name><name name-style="western"><surname>Vaysbrot</surname><given-names>EE</given-names> </name><etal/></person-group><article-title>OARSI guidelines for the non-surgical management of knee, hip, and polyarticular osteoarthritis</article-title><source>Osteoarthr Cartil</source><year>2019</year><month>11</month><volume>27</volume><issue>11</issue><fpage>1578</fpage><lpage>1589</lpage><pub-id pub-id-type="doi">10.1016/j.joca.2019.06.011</pub-id></nlm-citation></ref><ref id="ref22"><label>22</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>French</surname><given-names>SD</given-names> </name><name name-style="western"><surname>Bennell</surname><given-names>KL</given-names> </name><name name-style="western"><surname>Nicolson</surname><given-names>PJA</given-names> </name><name name-style="western"><surname>Hodges</surname><given-names>PW</given-names> </name><name name-style="western"><surname>Dobson</surname><given-names>FL</given-names> </name><name name-style="western"><surname>Hinman</surname><given-names>RS</given-names> </name></person-group><article-title>What do people with knee or hip osteoarthritis need to know? An international consensus list of essential statements for osteoarthritis</article-title><source>Arthritis Care Res (Hoboken)</source><year>2015</year><month>05</month><volume>67</volume><issue>6</issue><fpage>809</fpage><lpage>816</lpage><pub-id pub-id-type="doi">10.1002/acr.22518</pub-id><pub-id pub-id-type="medline">25418120</pub-id></nlm-citation></ref><ref id="ref23"><label>23</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Kloek</surname><given-names>CJJ</given-names> </name><name name-style="western"><surname>Bossen</surname><given-names>D</given-names> </name><name name-style="western"><surname>Spreeuwenberg</surname><given-names>PM</given-names> </name><name name-style="western"><surname>Dekker</surname><given-names>J</given-names> </name><name name-style="western"><surname>de Bakker</surname><given-names>DH</given-names> </name><name name-style="western"><surname>Veenhof</surname><given-names>C</given-names> </name></person-group><article-title>Effectiveness of a blended physical therapist intervention in people with hip osteoarthritis, knee osteoarthritis, or both: a cluster-randomized controlled trial</article-title><source>Phys Ther</source><year>2018</year><month>07</month><day>1</day><volume>98</volume><issue>7</issue><fpage>560</fpage><lpage>570</lpage><pub-id pub-id-type="doi">10.1093/ptj/pzy045</pub-id><pub-id pub-id-type="medline">29788253</pub-id></nlm-citation></ref><ref id="ref24"><label>24</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Bossen</surname><given-names>D</given-names> </name><name name-style="western"><surname>Veenhof</surname><given-names>C</given-names> </name><name name-style="western"><surname>Van Beek</surname><given-names>KE</given-names> </name><name name-style="western"><surname>Spreeuwenberg</surname><given-names>PM</given-names> </name><name name-style="western"><surname>Dekker</surname><given-names>J</given-names> </name><name name-style="western"><surname>De Bakker</surname><given-names>DH</given-names> </name></person-group><article-title>Effectiveness of a web-based physical activity intervention in patients with knee and/or hip osteoarthritis: randomized controlled trial</article-title><source>J Med Internet Res</source><year>2013</year><month>11</month><day>22</day><volume>15</volume><issue>11</issue><fpage>e257</fpage><pub-id pub-id-type="doi">10.2196/jmir.2662</pub-id><pub-id pub-id-type="medline">24269911</pub-id></nlm-citation></ref><ref id="ref25"><label>25</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Veenhof</surname><given-names>C</given-names> </name><name name-style="western"><surname>K&#x00F6;ke</surname><given-names>AJA</given-names> </name><name name-style="western"><surname>Dekker</surname><given-names>J</given-names> </name><etal/></person-group><article-title>Effectiveness of behavioral graded activity in patients with osteoarthritis of the hip and/or knee: a randomized clinical trial</article-title><source>Arthritis Rheum</source><year>2006</year><month>12</month><day>15</day><volume>55</volume><issue>6</issue><fpage>925</fpage><lpage>934</lpage><pub-id pub-id-type="doi">10.1002/art.22341</pub-id><pub-id pub-id-type="medline">17139639</pub-id></nlm-citation></ref><ref id="ref26"><label>26</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Hwang</surname><given-names>JW</given-names> </name><name name-style="western"><surname>Lee</surname><given-names>GE</given-names> </name><name name-style="western"><surname>Woo</surname><given-names>JH</given-names> </name><name name-style="western"><surname>Kim</surname><given-names>SM</given-names> </name><name name-style="western"><surname>Kwon</surname><given-names>JY</given-names> </name></person-group><article-title>Systematic review and meta-analysis on fully automated digital cognitive behavioral therapy for insomnia</article-title><source>NPJ Digit Med</source><year>2025</year><month>03</month><day>12</day><volume>8</volume><issue>1</issue><fpage>157</fpage><pub-id pub-id-type="doi">10.1038/s41746-025-01514-4</pub-id><pub-id pub-id-type="medline">40075149</pub-id></nlm-citation></ref><ref id="ref27"><label>27</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Riemann</surname><given-names>D</given-names> </name><name name-style="western"><surname>Espie</surname><given-names>CA</given-names> </name><name name-style="western"><surname>Altena</surname><given-names>E</given-names> </name><etal/></person-group><article-title>The European Insomnia Guideline: an update on the diagnosis and treatment of insomnia 2023</article-title><source>J Sleep Res</source><year>2023</year><month>12</month><volume>32</volume><issue>6</issue><fpage>e14035</fpage><pub-id pub-id-type="doi">10.1111/jsr.14035</pub-id></nlm-citation></ref><ref id="ref28"><label>28</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Rash</surname><given-names>JA</given-names> </name><name name-style="western"><surname>Kavanagh</surname><given-names>VAJ</given-names> </name><name name-style="western"><surname>Garland</surname><given-names>SN</given-names> </name></person-group><article-title>A meta-analysis of mindfulness-based therapies for insomnia and sleep disturbance: moving towards processes of change</article-title><source>Sleep Med Clin</source><year>2019</year><month>06</month><volume>14</volume><issue>2</issue><fpage>209</fpage><lpage>233</lpage><pub-id pub-id-type="doi">10.1016/j.jsmc.2019.01.004</pub-id><pub-id pub-id-type="medline">31029188</pub-id></nlm-citation></ref><ref id="ref29"><label>29</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>de Rijk</surname><given-names>MG</given-names> </name><name name-style="western"><surname>Slotegraaf</surname><given-names>AI</given-names> </name><name name-style="western"><surname>Brouwer-Brolsma</surname><given-names>EM</given-names> </name><name name-style="western"><surname>Perenboom</surname><given-names>CWM</given-names> </name><name name-style="western"><surname>Feskens</surname><given-names>EJM</given-names> </name><name name-style="western"><surname>de Vries</surname><given-names>JHM</given-names> </name></person-group><article-title>Development and evaluation of a diet quality screener to assess adherence to the Dutch food-based dietary guidelines</article-title><source>Br J Nutr</source><year>2021</year><month>11</month><day>15</day><volume>128</volume><issue>8</issue><fpage>1</fpage><lpage>11</lpage><pub-id pub-id-type="doi">10.1017/S0007114521004499</pub-id><pub-id pub-id-type="medline">34776025</pub-id></nlm-citation></ref><ref id="ref30"><label>30</label><nlm-citation citation-type="report"><article-title>Richtlijn ondervoeding: herkenning, diagnosestelling en behandeling van ondervoeding bij volwassenen [Report in Dutch]</article-title><year>2019</year><access-date>2026-05-16</access-date><publisher-name>Kenniscentrum Ondervoeding</publisher-name><comment><ext-link ext-link-type="uri" xlink:href="https://www.kenniscentrumondervoeding.nl/wp-content/uploads/2022/04/SoV01-Richtlijn-Ondervoeding-februari-2019-met-addendum-september-2021.pdf">https://www.kenniscentrumondervoeding.nl/wp-content/uploads/2022/04/SoV01-Richtlijn-Ondervoeding-februari-2019-met-addendum-september-2021.pdf</ext-link></comment></nlm-citation></ref><ref id="ref31"><label>31</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>van Binsbergen</surname><given-names>JJ</given-names> </name><name name-style="western"><surname>Langens</surname><given-names>FNM</given-names> </name><name name-style="western"><surname>Dapper</surname><given-names>ALM</given-names> </name><etal/></person-group><article-title>NHG-Standaard M95. NHG-Standaard Obesitas</article-title><source>Huisarts Wet</source><year>2010</year><access-date>2026-05-16</access-date><volume>53</volume><fpage>609</fpage><lpage>625</lpage><comment><ext-link ext-link-type="uri" xlink:href="https://pure.eur.nl/en/publications/nhg-standaard-m95-nhg-standaard-obesitas/">https://pure.eur.nl/en/publications/nhg-standaard-m95-nhg-standaard-obesitas/</ext-link></comment></nlm-citation></ref><ref id="ref32"><label>32</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Warburton</surname><given-names>DER</given-names> </name><name name-style="western"><surname>Gledhill</surname><given-names>N</given-names> </name><name name-style="western"><surname>Jamnik</surname><given-names>VK</given-names> </name><etal/></person-group><article-title>Evidence-based risk assessment and recommendations for physical activity clearance: Consensus Document 2011</article-title><source>Appl Physiol Nutr Metab</source><year>2011</year><month>07</month><volume>36 Suppl 1</volume><issue>S1</issue><fpage>S266</fpage><lpage>S298</lpage><pub-id pub-id-type="doi">10.1139/h11-062</pub-id><pub-id pub-id-type="medline">21800945</pub-id></nlm-citation></ref><ref id="ref33"><label>33</label><nlm-citation citation-type="report"><article-title>Begrijpelijke vragenlijsten - de basis voor goede zorg [Report in Dutch]</article-title><year>2022</year><access-date>2026-05-16</access-date><publisher-name>Pharos</publisher-name><comment><ext-link ext-link-type="uri" xlink:href="https://www.pharos.nl/infosheets/begrijpelijke-vragenlijsten-de-basis-voor-goede-zorg/">https://www.pharos.nl/infosheets/begrijpelijke-vragenlijsten-de-basis-voor-goede-zorg/</ext-link></comment></nlm-citation></ref><ref id="ref34"><label>34</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>de Groot</surname><given-names>IB</given-names> </name><name name-style="western"><surname>Reijman</surname><given-names>M</given-names> </name><name name-style="western"><surname>Terwee</surname><given-names>CB</given-names> </name><etal/></person-group><article-title>Validation of the Dutch version of the Hip disability and Osteoarthritis Outcome Score</article-title><source>Osteoarthr Cartil</source><year>2007</year><month>01</month><volume>15</volume><issue>1</issue><fpage>104</fpage><lpage>109</lpage><pub-id pub-id-type="doi">10.1016/j.joca.2006.06.014</pub-id></nlm-citation></ref><ref id="ref35"><label>35</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>de Groot</surname><given-names>IB</given-names> </name><name name-style="western"><surname>Favejee</surname><given-names>MM</given-names> </name><name name-style="western"><surname>Reijman</surname><given-names>M</given-names> </name><name name-style="western"><surname>Verhaar</surname><given-names>JAN</given-names> </name><name name-style="western"><surname>Terwee</surname><given-names>CB</given-names> </name></person-group><article-title>The Dutch version of the knee injury and osteoarthritis outcome score: a validation study</article-title><source>Health Qual Life Outcomes</source><year>2008</year><month>02</month><day>26</day><volume>6</volume><fpage>16</fpage><pub-id pub-id-type="doi">10.1186/1477-7525-6-16</pub-id><pub-id pub-id-type="medline">18302729</pub-id></nlm-citation></ref><ref id="ref36"><label>36</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Bode</surname><given-names>RK</given-names> </name><name name-style="western"><surname>Hahn</surname><given-names>EA</given-names> </name><name name-style="western"><surname>DeVellis</surname><given-names>R</given-names> </name><name name-style="western"><surname>Cella</surname><given-names>D</given-names> </name><collab>Patient-Reported Outcomes Measurement Information System Social Domain Working Group</collab></person-group><article-title>Measuring participation: the patient-reported outcomes measurement information system experience</article-title><source>Arch Phys Med Rehabil</source><year>2010</year><month>09</month><volume>91</volume><issue>9 Suppl</issue><fpage>S60</fpage><lpage>5</lpage><pub-id pub-id-type="doi">10.1016/j.apmr.2009.10.035</pub-id><pub-id pub-id-type="medline">20801282</pub-id></nlm-citation></ref><ref id="ref37"><label>37</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Paans&#x2010;Cijs</surname><given-names>B</given-names> </name><name name-style="western"><surname>Stekelenburg</surname><given-names>R</given-names> </name><name name-style="western"><surname>Veenhof</surname><given-names>C</given-names> </name><etal/></person-group><article-title>Prognostic factors and changes in pain, physical functioning, and participation in patients with hip and/or knee osteoarthritis: a systematic review</article-title><source>Arthritis Care Res (Hoboken)</source><year>2025</year><month>02</month><volume>77</volume><issue>2</issue><fpage>228</fpage><lpage>239</lpage><pub-id pub-id-type="doi">10.1002/acr.25428</pub-id></nlm-citation></ref><ref id="ref38"><label>38</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>van Dongen</surname><given-names>B</given-names> </name><name name-style="western"><surname>Ronteltap</surname><given-names>A</given-names> </name><name name-style="western"><surname>Cijs</surname><given-names>B</given-names> </name><name name-style="western"><surname>Kloek</surname><given-names>C</given-names> </name><name name-style="western"><surname>Bolman</surname><given-names>C</given-names> </name><name name-style="western"><surname>Crutzen</surname><given-names>R</given-names> </name></person-group><article-title>Psychosocial factors associated with physical activity, weight management, and sleep in adults with hip and knee osteoarthritis: a systematic review</article-title><source>BMC Rheumatol</source><year>2025</year><month>05</month><day>9</day><volume>9</volume><issue>1</issue><fpage>51</fpage><pub-id pub-id-type="doi">10.1186/s41927-025-00506-x</pub-id><pub-id pub-id-type="medline">40346686</pub-id></nlm-citation></ref><ref id="ref39"><label>39</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Caleyachetty</surname><given-names>R</given-names> </name><name name-style="western"><surname>Barber</surname><given-names>TM</given-names> </name><name name-style="western"><surname>Mohammed</surname><given-names>NI</given-names> </name><etal/></person-group><article-title>Ethnicity-specific BMI cutoffs for obesity based on type 2 diabetes risk in England: a population-based cohort study</article-title><source>Lancet Diabetes Endocrinol</source><year>2021</year><month>07</month><volume>9</volume><issue>7</issue><fpage>419</fpage><lpage>426</lpage><pub-id pub-id-type="doi">10.1016/S2213-8587(21)00088-7</pub-id><pub-id pub-id-type="medline">33989535</pub-id></nlm-citation></ref><ref id="ref40"><label>40</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Goldsmith</surname><given-names>ES</given-names> </name><name name-style="western"><surname>Taylor</surname><given-names>BC</given-names> </name><name name-style="western"><surname>Greer</surname><given-names>N</given-names> </name><etal/></person-group><article-title>Focused evidence review: psychometric properties of patient-reported outcome measures for chronic musculoskeletal pain</article-title><source>J Gen Intern Med</source><year>2018</year><month>05</month><volume>33</volume><issue>Suppl 1</issue><fpage>61</fpage><lpage>70</lpage><pub-id pub-id-type="doi">10.1007/s11606-018-4327-8</pub-id><pub-id pub-id-type="medline">29633142</pub-id></nlm-citation></ref><ref id="ref41"><label>41</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Vilarinho</surname><given-names>R</given-names> </name><name name-style="western"><surname>Amorim</surname><given-names>L</given-names> </name><name name-style="western"><surname>Gomes</surname><given-names>D</given-names> </name><etal/></person-group><article-title>Validation of the brief physical activity assessment tool: comparison of telephone and in-person administration</article-title><source>PLoS One</source><year>2025</year><volume>20</volume><issue>1</issue><fpage>e0317614</fpage><pub-id pub-id-type="doi">10.1371/journal.pone.0317614</pub-id><pub-id pub-id-type="medline">39854301</pub-id></nlm-citation></ref><ref id="ref42"><label>42</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Spinhoven</surname><given-names>P</given-names> </name><name name-style="western"><surname>Ormel</surname><given-names>J</given-names> </name><name name-style="western"><surname>Sloekers</surname><given-names>PP</given-names> </name><name name-style="western"><surname>Kempen</surname><given-names>GI</given-names> </name><name name-style="western"><surname>Speckens</surname><given-names>AE</given-names> </name><name name-style="western"><surname>Van Hemert</surname><given-names>AM</given-names> </name></person-group><article-title>A validation study of the Hospital Anxiety and Depression Scale (HADS) in different groups of Dutch subjects</article-title><source>Psychol Med</source><year>1997</year><month>03</month><volume>27</volume><issue>2</issue><fpage>363</fpage><lpage>370</lpage><pub-id pub-id-type="doi">10.1017/s0033291796004382</pub-id><pub-id pub-id-type="medline">9089829</pub-id></nlm-citation></ref><ref id="ref43"><label>43</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Shelby</surname><given-names>RA</given-names> </name><name name-style="western"><surname>Somers</surname><given-names>TJ</given-names> </name><name name-style="western"><surname>Keefe</surname><given-names>FJ</given-names> </name><etal/></person-group><article-title>Brief fear of movement scale for osteoarthritis</article-title><source>Arthritis Care Res</source><year>2012</year><month>06</month><volume>64</volume><issue>6</issue><fpage>862</fpage><lpage>871</lpage><pub-id pub-id-type="doi">10.1002/acr.21626</pub-id></nlm-citation></ref><ref id="ref44"><label>44</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Lorig</surname><given-names>K</given-names> </name><name name-style="western"><surname>Chastain</surname><given-names>RL</given-names> </name><name name-style="western"><surname>Ung</surname><given-names>E</given-names> </name><name name-style="western"><surname>Shoor</surname><given-names>S</given-names> </name><name name-style="western"><surname>Holman</surname><given-names>HR</given-names> </name></person-group><article-title>Development and evaluation of a scale to measure perceived self-efficacy in people with arthritis</article-title><source>Arthritis Rheum</source><year>1989</year><month>01</month><volume>32</volume><issue>1</issue><fpage>37</fpage><lpage>44</lpage><pub-id pub-id-type="doi">10.1002/anr.1780320107</pub-id><pub-id pub-id-type="medline">2912463</pub-id></nlm-citation></ref><ref id="ref45"><label>45</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Morin</surname><given-names>CM</given-names> </name><name name-style="western"><surname>Belleville</surname><given-names>G</given-names> </name><name name-style="western"><surname>B&#x00E9;langer</surname><given-names>L</given-names> </name><name name-style="western"><surname>Ivers</surname><given-names>H</given-names> </name></person-group><article-title>The insomnia severity index: psychometric indicators to detect insomnia cases and evaluate treatment response</article-title><source>Sleep</source><year>2011</year><month>05</month><day>1</day><volume>34</volume><issue>5</issue><fpage>601</fpage><lpage>608</lpage><pub-id pub-id-type="doi">10.1093/sleep/34.5.601</pub-id><pub-id pub-id-type="medline">21532953</pub-id></nlm-citation></ref><ref id="ref46"><label>46</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Kraaimaat</surname><given-names>FW</given-names> </name><name name-style="western"><surname>Evers</surname><given-names>AWM</given-names> </name></person-group><article-title>Pain-coping strategies in chronic pain patients: psychometric characteristics of the pain-coping inventory (PCI)</article-title><source>Int J Behav Med</source><year>2003</year><volume>10</volume><issue>4</issue><fpage>343</fpage><lpage>363</lpage><pub-id pub-id-type="doi">10.1207/s15327558ijbm1004_5</pub-id><pub-id pub-id-type="medline">14734263</pub-id></nlm-citation></ref><ref id="ref47"><label>47</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Maranhao Neto</surname><given-names>GA</given-names> </name><name name-style="western"><surname>Luz</surname><given-names>LGO</given-names> </name><name name-style="western"><surname>Farinatti</surname><given-names>PTV</given-names> </name></person-group><article-title>Diagnostic accuracy of pre-exercise screening questionnaire: emphasis on educational level and cognitive status</article-title><source>Arch Gerontol Geriatr</source><year>2013</year><volume>57</volume><issue>2</issue><fpage>211</fpage><lpage>214</lpage><pub-id pub-id-type="doi">10.1016/j.archger.2013.03.008</pub-id><pub-id pub-id-type="medline">23582641</pub-id></nlm-citation></ref><ref id="ref48"><label>48</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Buysse</surname><given-names>DJ</given-names> </name><name name-style="western"><surname>Reynolds</surname><given-names>CF</given-names>  <suffix>3rd</suffix></name><name name-style="western"><surname>Monk</surname><given-names>TH</given-names> </name><name name-style="western"><surname>Berman</surname><given-names>SR</given-names> </name><name name-style="western"><surname>Kupfer</surname><given-names>DJ</given-names> </name></person-group><article-title>The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research</article-title><source>Psychiatry Res</source><year>1989</year><month>05</month><volume>28</volume><issue>2</issue><fpage>193</fpage><lpage>213</lpage><pub-id pub-id-type="doi">10.1016/0165-1781(89)90047-4</pub-id><pub-id pub-id-type="medline">2748771</pub-id></nlm-citation></ref><ref id="ref49"><label>49</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Chew</surname><given-names>LD</given-names> </name><name name-style="western"><surname>Griffin</surname><given-names>JM</given-names> </name><name name-style="western"><surname>Partin</surname><given-names>MR</given-names> </name><etal/></person-group><article-title>Validation of screening questions for limited health literacy in a large VA outpatient population</article-title><source>J Gen Intern Med</source><year>2008</year><month>05</month><volume>23</volume><issue>5</issue><fpage>561</fpage><lpage>566</lpage><pub-id pub-id-type="doi">10.1007/s11606-008-0520-5</pub-id><pub-id pub-id-type="medline">18335281</pub-id></nlm-citation></ref><ref id="ref50"><label>50</label><nlm-citation citation-type="book"><person-group person-group-type="author"><name name-style="western"><surname>James</surname><given-names>G</given-names> </name><name name-style="western"><surname>Witten</surname><given-names>D</given-names> </name><name name-style="western"><surname>Hastie</surname><given-names>T</given-names> </name><name name-style="western"><surname>Tibshirani</surname><given-names>R</given-names> </name></person-group><source>An Introduction to Statistical Learning</source><year>2021</year><publisher-name>Springer</publisher-name><pub-id pub-id-type="doi">10.1007/978-1-0716-1418-1</pub-id></nlm-citation></ref><ref id="ref51"><label>51</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Collins</surname><given-names>GS</given-names> </name><name name-style="western"><surname>Moons</surname><given-names>KGM</given-names> </name><name name-style="western"><surname>Dhiman</surname><given-names>P</given-names> </name><etal/></person-group><article-title>TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods</article-title><source>BMJ</source><year>2024</year><month>04</month><day>16</day><volume>385</volume><fpage>e078378</fpage><pub-id pub-id-type="doi">10.1136/bmj-2023-078378</pub-id><pub-id pub-id-type="medline">38626948</pub-id></nlm-citation></ref><ref id="ref52"><label>52</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Ch&#x00E9;ret</surname><given-names>EPBM</given-names> </name><name name-style="western"><surname>Mechlenburg</surname><given-names>I</given-names> </name><name name-style="western"><surname>Skou</surname><given-names>ST</given-names> </name><name name-style="western"><surname>Dalgas</surname><given-names>U</given-names> </name><name name-style="western"><surname>Stisen</surname><given-names>MG</given-names> </name><name name-style="western"><surname>Kjeldsen</surname><given-names>T</given-names> </name></person-group><article-title>Minimal important change in the hip disability and osteoarthritis outcome score and the European quality of life 5 dimensions in adults with hip osteoarthritis after 12 weeks of exercise</article-title><source>Musculoskelet Sci Pract</source><year>2025</year><month>04</month><volume>76</volume><issue>4</issue><fpage>103274</fpage><pub-id pub-id-type="doi">10.1016/j.msksp.2025.103274</pub-id><pub-id pub-id-type="medline">39970818</pub-id></nlm-citation></ref><ref id="ref53"><label>53</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Silva</surname><given-names>MDC</given-names> </name><name name-style="western"><surname>Perriman</surname><given-names>DM</given-names> </name><name name-style="western"><surname>Fearon</surname><given-names>AM</given-names> </name><name name-style="western"><surname>Couldrick</surname><given-names>JM</given-names> </name><name name-style="western"><surname>Scarvell</surname><given-names>JM</given-names> </name></person-group><article-title>Minimal important change and difference for knee osteoarthritis outcome measurement tools after non-surgical interventions: a systematic review</article-title><source>BMJ Open</source><year>2023</year><month>05</month><day>18</day><volume>13</volume><issue>5</issue><fpage>e063026</fpage><pub-id pub-id-type="doi">10.1136/bmjopen-2022-063026</pub-id><pub-id pub-id-type="medline">37202126</pub-id></nlm-citation></ref><ref id="ref54"><label>54</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Schomaker</surname><given-names>M</given-names> </name><name name-style="western"><surname>Luque-Fernandez</surname><given-names>MA</given-names> </name><name name-style="western"><surname>Leroy</surname><given-names>V</given-names> </name><name name-style="western"><surname>Davies</surname><given-names>MA</given-names> </name></person-group><article-title>Using longitudinal targeted maximum likelihood estimation in complex settings with dynamic interventions</article-title><source>Stat Med</source><year>2019</year><month>10</month><day>30</day><volume>38</volume><issue>24</issue><fpage>4888</fpage><lpage>4911</lpage><pub-id pub-id-type="doi">10.1002/sim.8340</pub-id><pub-id pub-id-type="medline">31436859</pub-id></nlm-citation></ref><ref id="ref55"><label>55</label><nlm-citation citation-type="book"><person-group person-group-type="author"><name name-style="western"><surname>Hern&#x00E1;n</surname><given-names>MA</given-names> </name><name name-style="western"><surname>Robins</surname><given-names>JM</given-names> </name></person-group><source>Causal Inference: What If</source><year>2020</year><access-date>2026-05-16</access-date><publisher-name>Chapman &#x0026; Hall/CRC</publisher-name><comment><ext-link ext-link-type="uri" xlink:href="https://miguelhernan.org/whatifbook">https://miguelhernan.org/whatifbook</ext-link></comment></nlm-citation></ref><ref id="ref56"><label>56</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Zhu</surname><given-names>J</given-names> </name><name name-style="western"><surname>Gallego</surname><given-names>B</given-names> </name></person-group><article-title>Targeted estimation of heterogeneous treatment effect in observational survival analysis</article-title><source>J Biomed Inform</source><year>2020</year><month>07</month><volume>107</volume><fpage>103474</fpage><pub-id pub-id-type="doi">10.1016/j.jbi.2020.103474</pub-id><pub-id pub-id-type="medline">32562899</pub-id></nlm-citation></ref><ref id="ref57"><label>57</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Jamieson</surname><given-names>MK</given-names> </name><name name-style="western"><surname>Govaart</surname><given-names>GH</given-names> </name><name name-style="western"><surname>Pownall</surname><given-names>M</given-names> </name></person-group><article-title>Reflexivity in quantitative research: a rationale and beginner&#x2019;s guide</article-title><source>Social Personality Psych</source><year>2023</year><month>04</month><volume>17</volume><issue>4</issue><fpage>e12735</fpage><pub-id pub-id-type="doi">10.1111/spc3.12735</pub-id></nlm-citation></ref><ref id="ref58"><label>58</label><nlm-citation citation-type="book"><person-group person-group-type="author"><name name-style="western"><surname>Creswell</surname><given-names>JW</given-names> </name><name name-style="western"><surname>Poth</surname><given-names>C</given-names> </name></person-group><source>Qualitative Inquiry &#x0026; Research Design: Choosing among Five Approaches</source><year>2017</year><access-date>2026-01-02</access-date><edition>4</edition><publisher-name>SAGE Publications</publisher-name><comment><ext-link ext-link-type="uri" xlink:href="https://books.google.com/books/about/Qualitative_Inquiry_and_Research_Design.html?id=Pz5RvgAACAAJ">https://books.google.com/books/about/Qualitative_Inquiry_and_Research_Design.html?id=Pz5RvgAACAAJ</ext-link></comment></nlm-citation></ref><ref id="ref59"><label>59</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Vinnicombe</surname><given-names>S</given-names> </name><name name-style="western"><surname>Bianchim</surname><given-names>MS</given-names> </name><name name-style="western"><surname>Noyes</surname><given-names>J</given-names> </name></person-group><article-title>A review of reviews exploring patient and public involvement in population health research and development of tools containing best practice guidance</article-title><source>BMC Public Health</source><year>2023</year><month>06</month><day>30</day><volume>23</volume><issue>1</issue><fpage>1271</fpage><pub-id pub-id-type="doi">10.1186/s12889-023-15937-9</pub-id><pub-id pub-id-type="medline">37391764</pub-id></nlm-citation></ref><ref id="ref60"><label>60</label><nlm-citation citation-type="web"><source>My Joint Pain</source><access-date>2025-11-10</access-date><comment><ext-link ext-link-type="uri" xlink:href="https://www.myjointpain.org.au/">https://www.myjointpain.org.au/</ext-link></comment></nlm-citation></ref><ref id="ref61"><label>61</label><nlm-citation citation-type="web"><article-title>OA Coach Study</article-title><source>Osteoarthritis Clinical Research Group</source><access-date>2025-11-10</access-date><comment><ext-link ext-link-type="uri" xlink:href="https://www.osteoarthritisresearch.com.au/oa-coach">https://www.osteoarthritisresearch.com.au/oa-coach</ext-link></comment></nlm-citation></ref><ref id="ref62"><label>62</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Du</surname><given-names>Y</given-names> </name><name name-style="western"><surname>Yang</surname><given-names>P</given-names> </name><name name-style="western"><surname>Liu</surname><given-names>Y</given-names> </name><name name-style="western"><surname>Deng</surname><given-names>C</given-names> </name><name name-style="western"><surname>Li</surname><given-names>X</given-names> </name></person-group><article-title>Artificial intelligence in chronic disease self-management: current applications and future directions</article-title><source>Front Public Health</source><year>2025</year><volume>13</volume><fpage>1689911</fpage><pub-id pub-id-type="doi">10.3389/fpubh.2025.1689911</pub-id><pub-id pub-id-type="medline">41358250</pub-id></nlm-citation></ref><ref id="ref63"><label>63</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Smith</surname><given-names>SG</given-names> </name><name name-style="western"><surname>O&#x2019;Conor</surname><given-names>R</given-names> </name><name name-style="western"><surname>Aitken</surname><given-names>W</given-names> </name><name name-style="western"><surname>Curtis</surname><given-names>LM</given-names> </name><name name-style="western"><surname>Wolf</surname><given-names>MS</given-names> </name><name name-style="western"><surname>Goel</surname><given-names>MS</given-names> </name></person-group><article-title>Disparities in registration and use of an online patient portal among older adults: findings from the LitCog cohort</article-title><source>J Am Med Inform Assoc</source><year>2015</year><month>07</month><volume>22</volume><issue>4</issue><fpage>888</fpage><lpage>895</lpage><pub-id pub-id-type="doi">10.1093/jamia/ocv025</pub-id><pub-id pub-id-type="medline">25914099</pub-id></nlm-citation></ref><ref id="ref64"><label>64</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Hernandez-Ramos</surname><given-names>R</given-names> </name><name name-style="western"><surname>Aguilera</surname><given-names>A</given-names> </name><name name-style="western"><surname>Garcia</surname><given-names>F</given-names> </name><etal/></person-group><article-title>Conducting internet-based visits for onboarding populations with limited digital literacy to an mHealth intervention: development of a patient-centered approach</article-title><source>JMIR Form Res</source><year>2021</year><month>04</month><day>29</day><volume>5</volume><issue>4</issue><fpage>e25299</fpage><pub-id pub-id-type="doi">10.2196/25299</pub-id><pub-id pub-id-type="medline">33872184</pub-id></nlm-citation></ref><ref id="ref65"><label>65</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Bao</surname><given-names>H</given-names> </name><name name-style="western"><surname>Wong</surname><given-names>YJ</given-names> </name><name name-style="western"><surname>Singh</surname><given-names>NB</given-names> </name><etal/></person-group><article-title>Data absenteeism in digital health technology research for older adults: a systematic review</article-title><source>BMC Digit Health</source><year>2025</year><month>06</month><volume>3</volume><issue>1</issue><fpage>14</fpage><pub-id pub-id-type="doi">10.1186/s44247-025-00152-w</pub-id></nlm-citation></ref><ref id="ref66"><label>66</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Lee</surname><given-names>J</given-names> </name><name name-style="western"><surname>Lee</surname><given-names>EH</given-names> </name><name name-style="western"><surname>Chae</surname><given-names>D</given-names> </name></person-group><article-title>eHealth literacy instruments: systematic review of measurement properties</article-title><source>J Med Internet Res</source><year>2021</year><month>11</month><volume>23</volume><issue>11</issue><fpage>e30644</fpage><pub-id pub-id-type="doi">10.2196/30644</pub-id></nlm-citation></ref><ref id="ref67"><label>67</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Huang</surname><given-names>YQ</given-names> </name><name name-style="western"><surname>Liu</surname><given-names>L</given-names> </name><name name-style="western"><surname>Goodarzi</surname><given-names>Z</given-names> </name><name name-style="western"><surname>Watt</surname><given-names>JA</given-names> </name></person-group><article-title>Diagnostic accuracy of eHealth literacy measurement tools in older adults: a systematic review</article-title><source>BMC Geriatr</source><year>2023</year><month>03</month><day>29</day><volume>23</volume><issue>1</issue><fpage>181</fpage><pub-id pub-id-type="doi">10.1186/s12877-023-03899-x</pub-id><pub-id pub-id-type="medline">36978033</pub-id></nlm-citation></ref><ref id="ref68"><label>68</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Meyerowitz-Katz</surname><given-names>G</given-names> </name><name name-style="western"><surname>Ravi</surname><given-names>S</given-names> </name><name name-style="western"><surname>Arnolda</surname><given-names>L</given-names> </name><name name-style="western"><surname>Feng</surname><given-names>X</given-names> </name><name name-style="western"><surname>Maberly</surname><given-names>G</given-names> </name><name name-style="western"><surname>Astell-Burt</surname><given-names>T</given-names> </name></person-group><article-title>Rates of attrition and dropout in app-based interventions for chronic disease: systematic review and meta-analysis</article-title><source>J Med Internet Res</source><year>2020</year><month>09</month><day>29</day><volume>22</volume><issue>9</issue><fpage>e20283</fpage><pub-id pub-id-type="doi">10.2196/20283</pub-id><pub-id pub-id-type="medline">32990635</pub-id></nlm-citation></ref><ref id="ref69"><label>69</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Lee</surname><given-names>EWJ</given-names> </name><name name-style="western"><surname>Viswanath</surname><given-names>K</given-names> </name></person-group><article-title>Big data in context: addressing the twin perils of data absenteeism and chauvinism in the context of health disparities research</article-title><source>J Med Internet Res</source><year>2020</year><month>01</month><day>7</day><volume>22</volume><issue>1</issue><fpage>e16377</fpage><pub-id pub-id-type="doi">10.2196/16377</pub-id><pub-id pub-id-type="medline">31909724</pub-id></nlm-citation></ref><ref id="ref70"><label>70</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Lee</surname><given-names>EW</given-names> </name><name name-style="western"><surname>McCloud</surname><given-names>RF</given-names> </name><name name-style="western"><surname>Viswanath</surname><given-names>K</given-names> </name></person-group><article-title>Designing effective eHealth interventions for underserved groups: five lessons from a decade of eHealth intervention design and deployment</article-title><source>J Med Internet Res</source><year>2022</year><month>01</month><day>7</day><volume>24</volume><issue>1</issue><fpage>e25419</fpage><pub-id pub-id-type="doi">10.2196/25419</pub-id><pub-id pub-id-type="medline">34994700</pub-id></nlm-citation></ref><ref id="ref71"><label>71</label><nlm-citation citation-type="web"><article-title>Public DMPs</article-title><source>DMPonline</source><access-date>2026-05-22</access-date><comment><ext-link ext-link-type="uri" xlink:href="https://dmponline.dcc.ac.uk/public_plans?page=1&#x0026;search=KICH1.GZ03.21.005">https://dmponline.dcc.ac.uk/public_plans?page=1&#x0026;search=KICH1.GZ03.21.005</ext-link></comment></nlm-citation></ref></ref-list><app-group><supplementary-material id="app1"><label>Peer Review Report 1</label><p>Peer review report from the Dutch Research Council (NWO).</p><media xlink:href="resprot_v15i1e94709_app1.pdf" xlink:title="PDF File, 278 KB"/></supplementary-material></app-group></back></article>