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Three-Factor Structure of the eHealth Literacy Scale Among Magnetic Resonance Imaging and Computed Tomography Outpatients: A Confirmatory Factor Analysis

Lisa L Hyde, Allison W Boyes, Tiffany-Jane Evans, Lisa J Mackenzie, Rob Sanson-Fisher

JMIR Hum Factors 2018;5(1):e6

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Electronic Health Literacy Among Magnetic Resonance Imaging and Computed Tomography Medical Imaging Outpatients: Cluster Analysis

Lisa Lynne Hyde, Allison W Boyes, Lisa J Mackenzie, Lucy Leigh, Christopher Oldmeadow, Carlos Riveros, Rob Sanson-Fisher

J Med Internet Res 2019;21(8):e13423

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Use of Web Conferencing Technology for Conducting Online Focus Groups Among Young People With Lived Experience of Suicidal Thoughts: Mixed Methods Research

Data were drawn from two online surveys (before and after the W-OFG), and one relevant question was asked at the end of the W-OFG.The pre–W-OFG online survey was designed to collect participants’ characteristics and preference for the type(s) of focus groups

Jin Han, Michelle Torok, Nyree Gale, Quincy JJ Wong, Aliza Werner-Seidler, Sarah E Hetrick, Helen Christensen

JMIR Ment Health 2019;6(10):e14191

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Techniques for Improving Communication of Emotional Content in Text-Only Web-Based Therapeutic Communications: Systematic Review

Christine Louise Paul, Martine Elizabeth Cox, Hannah Julie Small, Allison W Boyes, Lorna O'Brien, Shiho Karina Rose, Amanda L Baker, Frans A Henskens, Hannah Naomi Kirkwood, Della M Roach

JMIR Ment Health 2017;4(4):e46

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Development and Initial Evaluation of an Internet-Based Support System for Face-to-Face Cognitive Behavior Therapy: A Proof of Concept Study

Kristoffer NT Månsson, Erica Skagius Ruiz, Elisabet Gervind, Mats Dahlin, Gerhard Andersson

J Med Internet Res 2013;15(12):e280

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Telemedicine Service Use: A New Metric

1998 to 0.95 C/S/W (Table 1).

Maurice Mars, Richard Scott

J Med Internet Res 2012;14(6):e178

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How Specialist Aftercare Impacts Long-Term Readmission Risks in Elderly Patients With Metabolic, Cardiac, and Chronic Obstructive Pulmonary Diseases: Cohort Study Using Administrative Data

63%, SE 1.7% [m]; 64%, SE 1.5% [w]) and other retinal disorders such as diabetic retinopathy (H36: 64%, SE 3.1% [m]; 61%, SE 2.5% [w]).

Michaela Kaleta, Thomas Niederkrotenthaler, Alexandra Kautzky-Willer, Peter Klimek

JMIR Med Inform 2020;8(9):e18147

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Implementing Systematic Screening and Structured Care for Distressed Callers Using Cancer Council’s Telephone Services: Protocol for a Randomized Stepped-Wedge Trial

Elizabeth A Fradgley, Anna Boltong, Lorna O'Brien, Allison W Boyes, Katherine Lane, Annette Beattie, Tara Clinton-McHarg, Paul B Jacobsen, Christopher Doran, Daniel Barker, Della Roach, Jo Taylor, Christine L Paul

JMIR Res Protoc 2019;8(5):e12473

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Maximizing Potentially Avoidable Hospitalizations and Cost Savings Beyond Targeting the Most Costly Patients

States3Philips LifelineFramingham, MAUnited StatesCorresponding Author: Mariana Simons mariana.simons@philips.comJul-Dec20181709201842e1173130720182982018©Mariana Simons, Sara Golas, Stephen Agboola, Jorn op den Buijs, Jennifer Felsted, Nils Fischer, Allison

Mariana Simons, Sara Golas, Stephen Agboola, Jorn op den Buijs, Jennifer Felsted, Nils Fischer, Allison Orenstein

iproc 2018;4(2):e11731

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Electronic Symptom Reporting Between Patient and Provider for Improved Health Care Service Quality: A Systematic Review of Randomized Controlled Trials. Part 2: Methodological Quality and Effects

For 3 of the articles, Boyes et al [35], Santamore et al [53], and Williams et al [64], we found no types of bias to be at low risk.All articles had interventions that could be implemented as planned in a real-life setting.

Monika Alise Johansen, Gro K Rosvold Berntsen, Tibor Schuster, Eva Henriksen, Alexander Horsch

J Med Internet Res 2012;14(5):e126

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