Background: The nonpharmacological approach to diabetic control in patients with diabetes focuses on a healthy diet, physical activity, and self-management. Therefore, to help patients change their habits, it is essential to identify the most effective approach. Many efforts have been devoted to explain changes in or adherence to specific health behaviors. Such efforts have resulted in the development of theories that have been applied in prevention campaigns and include brief advice and counseling services. Within this context, motivational interviewing (MI) has proven to be effective in changing health behaviors for specific cases. However, stronger evidence is needed on the effectiveness of MI in treating chronic pathologies such as diabetes.
Objective: This study will obtain preliminary data on the impact of a nurse-led MI intervention in improving glycemic control, as well as clinical, psychosocial, and self-care outcomes for individuals with type 2 diabetes mellitus when compared with usual care, with the aim of improving diabetic control in patients with diabetes.
Methods: An open, two-arm, parallel, randomized controlled, pilot exploratory trial will be performed. Two government outpatient clinics in the New Territories West Cluster in Hong Kong will be involved. In total, 20 to 25 participants will be invited in each arm. Intervention participants will receive face-to-face MI interventions in addition to their usual care from the clinic. Control participants will only receive usual care. Outcomes are assessed at baseline, 6 months, and 12 months. The primary outcome measure is glycated hemoglobin levels. Secondary outcomes include blood pressure, BMI, hip and waist circumference, fasting blood, and psychosocial and self-care measures.
Results: This study is currently underway with funding support from the Hong Kong College of Family Physician Research Seed Fund 2017.
Conclusions: MI skills constitute the main strategies primary care nurses use on their patients. Having economical, simple, effective, and applicable techniques is essential for primary care professionals to help their patients change their lifestyle and improve their health. This study will provide scientific evidence on the effectiveness of MI. It will be performed with strict control over the data collection, ensuring the maintenance of therapeutic integrity.
Trial Registration: Centre for Clinical Research and Biostatistics CUHK_CCRB00614; https://tinyurl.com/v9awzk6
International Registered Report Identifier (IRRID): DERR1-10.2196/15709
Self-management of diabetes mellitus (DM) requires that patients can reconcile their resources and preferences with the standard therapeutic regimen for diabetes, a task that can be a challenging for many patients [, ]. It has been widely accepted that diabetes education is not only required in the first few months following diagnosis, but is an important component of ongoing diabetes care because of the demanding self-care requirements, which requires multiple daily decisions to balance diet, physical activity, and medications [ ]. There has been a keen interest in examining the impact that different kinds of patient education programs have on diabetes self-management. The findings of several meta-analyses from randomized controlled trials (RCTs) provide extensive evidence for the effectiveness of behavioral and educational intervention on fasting blood glucose and glycated hemoglobin (HbA1c). However, the long-term effects of such interventions are uncertain [ - ]. Knowledge about the effectiveness of behavioral and educational interventions on other diabetes-related outcome measures including blood pressure, lipid profile, body weight, self-management skills, health behavior, and psychosocial aspects are currently inconclusive [ , - ]. There are few studies that have examined the impact of these psychological interventions among Chinese patients with diabetes. Critical assessment regarding the impact of behavioral and educational programs requires further research that is based on rigorous methods from high quality studies and are adequately powered as well as furnished with long-term follow-ups. The precise magnitude of the effectiveness should be examined, well-defined, and specific to the service recipients when designed [ - ].
Motivational interviewing (MI), described by Rollnick and Miller , is a well-defined and scientifically tested method of client counselling that has successfully been used to elicit and sustain a person’s behavior changes in a number of health care areas. A recent review of MI showed improvements in health behaviors such as diet and exercise in patients with diabetes [ ]. However, studies on the effectiveness of MI have not been able to offer unanimous conclusions on clinical [ - ] and psychosocial attributes [ , , - ] in patients with diabetes. Previous reviews emphasize the need for studies of high methodological quality and adequate power to explore the effect of MI on glycemic control and well-being in patients with diabetes [ , , ].
Given the fast pace of consultation flow in Hong Kong, where consultation time for a general practitioner is around 5 minutes for each patient in government outpatient clinics (GOPC), it is not possible for doctors to carry out MI. Management of diabetes involves a multidisciplinary approach in which allied health professionals such as dietitians, occupational therapists, and physiotherapists are also important team members. Our study will be novel as it is the first RCT using samples of Chinese patients with diabetes. In addition, we invited trained nurses to participate in our intervention.
Evidence-based MI research in various health care aspects is available abroad, but there is a dearth of such research in Hong Kong. It is important to build up local data on MI research.
This project aims to obtain preliminary data regarding the impact of MI on diabetes control compared with normal care among patients seen in primary care settings. The outcomes of interest include glycemic control (as measured by HbA1c), blood pressure, BMI, hip and waist circumference, fasting blood, and psychosocial and self-care measures.
The findings could inform the efficacy of MI for diabetes management in patients in family practices and contribute to better disease control.
A pilot multicenter, parallel-group, RCT will be performed. It is an assessor-blinded study, involving two GOPCs in Hong Kong. They will be randomized with one allocated to an intervention group and the other to a control group.
Patients who attend the nurse-led clinic (NLC) in the intervention group will receive up to five individual counselling sessions based on MI in 1 year, in addition to their usual care.
A RCT design was chosen to minimize contamination between the control and intervention participants that could occur if participants in the same health service were randomized to different treatment groups. Furthermore, because the intervention will be targeted at changing the behavior of health professionals, once trained, treatment leakage could occur, as it will be difﬁcult for them to avoid using the intervention techniques with control participants.
Patients are eligible if they were diagnosed as having type 2 DM for at least 1 year and are 18 to 65 years of age with poor DM control (defined as HbA1c≥8). Patients who have or have not received maximum dosages of oral hypoglycemic agents are equally eligible.
Patients who are pregnant as well as those with severe debilitating diseases that preclude adherence to recommendations (eg, end stage cancer), cognitive deficits, or medical conditions rendering the individuals incapable of completing informed consent or participating in the study are excluded.
Our hypotheses are that MI can reduce HbA1c levels, improve clinical and psychosocial outcomes, and increase diabetes self-care when compared with patients’ usual care.
The patients will be informed while participating in the NLC. Advanced practice nurses (APNs) will assist participants in achieving the primary goal of treatment for HbA1c levels less than 7.0%, which is the target defined by the Manual for Risk Assessment and Management Programme (Diabetes Mellitus) in the Primary Care Setting under the Hospital Authority of Hong Kong. This primary goal is applicable for both groups in the study.
After randomization, all outcome measures will be assessed at baseline, 6 months, and 12 months in both groups. Randomization is generated by a research randomizer with a 1:1 allocation ratio in both groups. Each GOPC is considered as a single unit of randomization.
Sample Size Calculation
Sample size estimates were calculated using the ﬁxed number of clusters (2) available to the current study. The intracluster correlation coefﬁcient (ICC) accounts for the greater similarity of responses in patients within clusters compared with between clusters, and we could apply an ICC of 0.05 as typical in primary care settings . The effect size for the primary outcome, HbA1c, was anticipated to be 0.32%, based on findings from a published meta-analysis [ ]. Using these parameters, a sample size calculator for cluster-randomized trials [ ] could estimate a total number of samples that would be required to achieve a power of 80%, while maintaining an alpha of 5% and a participant attrition rate of 20%.
However, since this is a pilot study, we will deploy a convenient sampling of 20 to 25 samples in each arm depending on resources. We anticipate performing a pragmatic cluster RCT in the future when resources are available so that sample size can be calculated with adequate power.
Stratification and Randomization
Participants will be sampled by computerized random allocation software to achieve balance. The sampling procedure produces an ordered list of eligible participants. Then, recruiting ofﬁcers systematically invite eligible participants into the study. Once a participant declines participation, the recruiting ofﬁcer will move to the next person on the list. APNs will provide all participants an explanatory statement and consent form in person at their GOPC visit. Participant flow is shown in.
Medical treatment is not a part of the intervention. All participants, irrespective of participation in the intervention group or the control group, will undergo the same routine check-up at the GOPC in charge of their diabetes care. Biochemical tests and examinations will be performed during these visits in accordance with protocols.
Individual counselling and recommendations will be given based on the results of the examinations, biochemical tests, and self-monitoring of blood glucose. Renewal of prescribed medication will also be done at these check-up visits. Patients could be referred to individual counselling for diet modification, optimization of physical activity, smoking cessation if applicable, and minimization of alcohol use if required by their usual health care provider.
The theoretical approach of the intervention is based on the self-efficacy theory and MI spirit. Perceived self-efficacy is defined as people’s beliefs about their capabilities of producing designated levels of performance on exercising influence over events that affect their lives . MI is used as a method to facilitate this process and is a directive counselling style for eliciting behavior change by helping patients to explore and resolve ambivalence [ , ]. In addition to their usual care, patients in the intervention group will receive a 1-year MI program consisting of up to five individual counselling sessions lasting approximately 30 to 45 minutes. Each participant in the intervention group is assigned an APN who has received training in MI. The style of the interview is standardized with the following components: seeking to understand the person’s frame of reference; expressing acceptance and affirmation; eliciting and selectively reinforcing the client’s own self-motivational statements of problem recognition, concern, desire and intention to change, and ability to change; exploring the client’s degree of readiness to change; and affirming the client’s freedom of choice and self-direction. Exploring readiness to change is used as a component of the therapeutic process and not an outcome. Each session follows a semistructured MI format, specifically developed for this intervention program. Participants may bring up any concerning issues related to diabetes self-care during the intervention sessions. The participants in the intervention group may be referred by the health care professional to individual counselling for lifestyle modification, which may include dietary changes, promotion of physical activity, and counseling on quitting smoking and minimizing alcohol consumption.
Education of the Health Care Professionals Prior to the Intervention
A number of APNs will be educated to carry out MI, depending on funding and resources. They will be coached by trainers from the Motivational Interviewing Network of Trainers.
The theoretical and practical part of the education includes training in the key elements of MI, which is generally facilitated through eliciting change talk and exploring ambivalence about behavioral change while trying to examine discrepancies between the individual’s current behavior and core values or personal goals. The health care professionals will be introduced to MI methods including reflective listening and acknowledgement, so they will be able to clarify the patient’s goals and concerns, as well as elicit reasons for change using the patient’s own words. The role of the health care professionals is to coach and support the patients in discovering and developing their own resources for change and management at the patient’s request.
After the course, the health care professionals will be individually supervised by the MI trainer in 10 real patient situations. The supervision will include audiotaping and evaluation inspired by the Motivational Interviewing Treatment Integrity (MITI) coding system version 4.2.1 . The MITI coding system is divided into a global rating and behavioral counts. The global rating is a 5-point Likert scale, where 1 indicates low competence in MI and 5 indicates high competence in MI. The behavior counts reveal MI behavior in proportion to all behavior, where a high percentage indicates a high competence in MI.
Measurements and Outcomes
The primary outcome measure is HbA1c. Secondary clinical outcomes include systolic and diastolic blood pressure, weight, BMI, waist and hip circumference, and fasting blood samples (fasting plasma glucose, total cholesterol, triglyceride, high-density lipoprotein, and low-density lipoprotein). Additionally, secondary psychosocial and self-care behavior outcomes include: psychological distress (Kessler 10 [K10]; score range 10-50) , quality of life (QOL) (WHOQOL-BREF; domain score range 0-100) [ ], diabetes self-care activities (Summary of Diabetes Self-Care Activities [SDSCA]; score range 0-7, representing number of days per week) [ ], and diabetes management self-efﬁcacy (Chinese Diabetes Management Self-Efficacy Scale [C-DMSES]; score range 0-200) [ ]. These surveys have been shown to demonstrate satisfactory psychometric properties.
K10 is a 10-item questionnaire intended to yield a global measure of distress based on questions about anxiety and depressive symptoms that a person has experienced in the most recent 4-week period.
The WHOQOL-BREF instrument comprises 26 items that measure the following broad domains: physical health, psychological health, social relationships, and environment. The WHOQOL-BREF is a shorter version of the original instrument that may be more convenient for use in large research studies or clinical trials. Both the self-administered and the interview version of the Hong Kong Chinese WHOQOL-BREF will be available .
The SDSCA measures frequency of self-care activity in the last 7 days for five aspects of the diabetes regimen: general diet (adherence to healthy diet), specific diet (ie, ate fruits and low-fat foods), foot care, blood-glucose testing, exercise, and taking recommended diabetes medication. Participants rate themselves from 0 to 7 on each item. The mean scores of the 11 items are then used to assess a participants’ self-care behavior.
C-DMSES assesses the extent that participants are confident they can self-monitor nutrition, blood sugar, foot exams, physical exercise, weight, and medical treatment. Participants rate themselves on an 11-point scale ranging from “0=can’t do at all” to “10=certain can do”. The mean scores of the 20 items are used to assess participants’ self-efficacy.
All patient level outcomes will be assessed at baseline, and again at 6 months and 12 months, during a clinical health check and an interviewer-administered questionnaire. All participants will be instructed to fast overnight for a minimum of 12 hours, and participant fasting times will be recorded prior to each blood test. When fasting times are insufﬁcient, participants will be asked to reschedule their appointment. Intervention and control groups will both undergo the same assessments, and all participants will be informed of their clinical results. Participants who are absent for outcome assessments will be contacted whenever possible by a phone call and asked to reschedule. Owing to the pragmatic nature of this trial, data collectors will not be blinded to group allocation; however, laboratory technicians will be blinded. Blood samples will be analyzed centrally at the Chemical Pathology Laboratories at Tuen Mun Hospital in Hong Kong.
To externally verify that MI and usual care differ as expected, 2 out of 20 participants (10%) in both the MI and usual care sessions will be randomly selected for coding on adherence to MI principles using the MITI coding system by an expert independent coding group. Coders are blind to the study arm of the session and the study hypotheses. We anticipate that MI sessions will receive scores of 4 or higher on the 1 to 5 global rating and be significantly higher than usual care sessions on ratings of evocation, collaboration, empathy, and autonomous support. With respect to frequency measures for counselor behavior we expect MI sessions to have a higher reflection-to-question ratio and significantly fewer instances of giving information.
Descriptive statistics will be used to summarize the characteristics of the GOPCs and participants with regard to baseline characteristics and patterns of mean change over time. The primary analysis will examine the changes in HbA1c at the 6- and 12-month follow-ups in comparison to the baseline. Secondary analyses will include all clinical, psychosocial, and self-care measures that are continuous outcomes. For data analyses, SPSS (IBM Corp, Armonk, NY) will be used. As this is a pilot study, nonparametric statistical tests will be used. The baseline values will be reported as means (SD). A P-value<.05 will be regarded as statistically significant.
This study is in compliance with the Helsinki Declaration and local legislation. Ethical approval was sought and granted by the New Territories West Cluster Clinical & Research Ethics Committee on July 3, 2018, with Ref. No.: NTWC/CREC/18038 at Tuen Mun Hospital in Hong Kong. All participants signed an informed consent from the nurses before participating in the study. This study is noncommercial.
To protect the interest of vulnerable subjects, confidentiality will be ensured according to the guidelines from the Hospital Authority in Hong Kong. For example, the data, including personal information, will be stored in encrypted files during and after the study. The investigators will be responsible for the safekeeping of the personal data, and only they will have access to the personal data during and after the study. The data will be kept in a locked cabinet for 5 years after the study. After completion of this storage period, the data files will be destroyed.
This study is currently underway with funding support from the Hong Kong College of Family Physician Research Seed Fund 2017. Participants could start the study at different times. All testing was completed in mid-November 2019. The results of the study will then be communicated via publications.
Demonstrating which of the two methods tested here is more effective can have a major impact on clinical practices when designing and proposing clinical protocols for the management of diabetes. Clinical interviewing skills and health education are the essential strategies used by nurses with their patients. Obtaining scientific evidence on the effectiveness of MI in primary care through strict monitoring of the training methods and controlling the integrity of the therapies applied will allow us to have economical, brief, effective, and applicable techniques to help patients change their health habits and achieve better health outcomes.
This study design has several limitations. First, as the resources for this study are limited, we will not be able to collect a large sample size. Consequently, it might be more difficult to identify statistically significant intervention effects. This issue highlights the importance of preventing dropouts from the intervention. Dropouts will be prevented by sending telephone reminders to participants for follow-ups. In addition, to test our hypotheses, participants will need to fill out many questionnaires, which may cause higher levels of attrition.
This study is one of the first attempts to assess the extent that the MI approach helps in overall diabetic care. The results obtained will help us understand the practical effectiveness of this approach, including its limitations and actual impact on Chinese patients with diabetes. If this method proves to be effective, our intention is to disseminate and promote that intervention used in APN sessions to promote better self-management.
Acknowledgments are due to the clinical study participants.
Conflicts of Interest
CONSORT-eHEALTH checklist (V 1.6.1).PDF File (Adobe PDF File), 1722 KB
- Funnell MM, Anderson RM. Empowerment and self-management of diabetes. Clin Diabetes 2004 Jul 01;22(3):123-127. [CrossRef]
- Peyrot M, Rubin RR, Lauritzen T, Snoek FJ, Matthews DR, Skovlund SE. Psychosocial problems and barriers to improved diabetes management: results of the Cross-National Diabetes Attitudes, Wishes and Needs (DAWN) Study. Diabet Med 2005 Oct;22(10):1379-1385. [CrossRef] [Medline]
- Loveman E, Royle P, Waugh N. Specialist nurses in diabetes mellitus. Cochrane Database Syst Rev 2003(2):CD003286. [CrossRef] [Medline]
- Gary TL, Genkinger JM, Guallar E, Peyrot M, Brancati FL. Meta-analysis of randomized educational and behavioral interventions in type 2 diabetes. Diabetes Educ 2003;29(3):488-501. [CrossRef] [Medline]
- Ismail K, Winkley K, Rabe-Hesketh S. Systematic review and meta-analysis of randomised controlled trials of psychological interventions to improve glycaemic control in patients with type 2 diabetes. Lancet 2004 May 15;363(9421):1589-1597. [CrossRef] [Medline]
- Minet L, Møller S, Vach W, Wagner L, Henriksen JE. Mediating the effect of self-care management intervention in type 2 diabetes: a meta-analysis of 47 randomised controlled trials. Patient Educ Couns 2010 Jul;80(1):29-41. [CrossRef] [Medline]
- Norris SL, Engelgau MM, Narayan KM. Effectiveness of self-management training in type 2 diabetes: a systematic review of randomized controlled trials. Diabetes Care 2001 Mar;24(3):561-587. [CrossRef] [Medline]
- Shojania KG, Ranji SR, McDonald KM, Grimshaw JM, Sundaram V, Rushakoff RJ, et al. Effects of quality improvement strategies for type 2 diabetes on glycemic control: a meta-regression analysis. JAMA 2006 Jul 26;296(4):427-440. [CrossRef] [Medline]
- Haider R, Sudini L, Chow CK, Cheung NW. Mobile phone text messaging in improving glycaemic control for patients with type 2 diabetes mellitus: A systematic review and meta-analysis. Diabetes Res Clin Pract 2019 Apr;150:27-37. [CrossRef] [Medline]
- Ricci-Cabello I, Ruiz-Pérez I, Rojas-García A, Pastor G, Rodríguez-Barranco M, Gonçalves DC. Characteristics and effectiveness of diabetes self-management educational programs targeted to racial/ethnic minority groups: a systematic review, meta-analysis and meta-regression. BMC Endocr Disord 2014 Jul 19;14:60 [FREE Full text] [CrossRef] [Medline]
- Carpenter R, DiChiacchio T, Barker K. Interventions for self-management of type 2 diabetes: an integrative review. Int J Nurs Sci 2019 Jan 10;6(1):70-91 [FREE Full text] [CrossRef] [Medline]
- Deakin T, McShane CE, Cade JE, Williams R. Group based training for self-management strategies in people with type 2 diabetes mellitus. Cochrane Database Syst Rev 2005 Apr 18(2):CD003417. [CrossRef] [Medline]
- Duke SS, Colagiuri S, Colagiuri R. Individual patient education for people with type 2 diabetes mellitus. Cochrane Database Syst Rev 2009 Jan 21(1):CD005268 [FREE Full text] [CrossRef] [Medline]
- Swedish COHTA. Patient education in managing diabetes: a systematic review. SBU Systematic Review Summaries 2009 Nov. [Medline]
- Rollnick S, Miller W, Butler C. Motivational Interviewing In Health Care: Helping Patients Change Behavior. New York: The Guilford Press; 2008.
- Martins RK, McNeil DW. Review of Motivational Interviewing in promoting health behaviors. Clin Psychol Rev 2009 Jun;29(4):283-293. [CrossRef] [Medline]
- Brug J, Spikmans F, Aartsen C, Breedveld B, Bes R, Fereira I. Training dietitians in basic motivational interviewing skills results in changes in their counseling style and in lower saturated fat intakes in their patients. J Nutr Educ Behav 2007;39(1):8-12. [CrossRef] [Medline]
- Channon S, Smith VJ, Gregory JW. A pilot study of motivational interviewing in adolescents with diabetes. Arch Dis Child 2003 Aug;88(8):680-683 [FREE Full text] [CrossRef] [Medline]
- Channon SJ, Huws-Thomas MV, Rollnick S, Hood K, Cannings-John RL, Rogers C, et al. A multicenter randomized controlled trial of motivational interviewing in teenagers with diabetes. Diabetes Care 2007 Jun;30(6):1390-1395. [CrossRef] [Medline]
- Ismail K, Thomas SM, Maissi E, Chalder T, Schmidt U, Bartlett J, et al. Motivational enhancement therapy with and without cognitive behavior therapy to treat type 1 diabetes: a randomized trial. Ann Intern Med 2008 Nov 18;149(10):708-719. [CrossRef] [Medline]
- Viner RM, Christie D, Taylor V, Hey S. Motivational/solution-focused intervention improves HbA1c in adolescents with Type 1 diabetes: a pilot study. Diabet Med 2003 Sep;20(9):739-742. [CrossRef] [Medline]
- West DS, DiLillo V, Bursac Z, Gore SA, Greene PG. Motivational interviewing improves weight loss in women with type 2 diabetes. Diabetes Care 2007 May;30(5):1081-1087. [CrossRef] [Medline]
- Jones A, Gladstone BP, Lübeck M, Lindekilde N, Upton D, Vach W. Motivational interventions in the management of HbA1c levels: a systematic review and meta-analysis. Prim Care Diabetes 2014 Jul;8(2):91-100. [CrossRef] [Medline]
- Clark M, Hampson SE. Implementing a psychological intervention to improve lifestyle self-management in patients with type 2 diabetes. Patient Educ Couns 2001 Mar;42(3):247-256. [CrossRef] [Medline]
- Knight KM, Bundy C, Morris R, Higgs J, Jameson RA, Unsworth P, et al. The effects of group motivational interviewing and externalizing conversations for adolescents with Type-1 diabetes. Psychology, Health & Medicine 2003 May;8(2):149-157. [CrossRef]
- Smith DE, Heckemeyer CM, Kratt PP, Mason DA. Motivational interviewing to improve adherence to a behavioral weight-control program for older obese women with NIDDM. A pilot study. Diabetes Care 1997 Jan;20(1):52-54. [CrossRef] [Medline]
- Dogru A, Ovayolu N, Ovayolu O. The effect of motivational interview persons with diabetes on self-management and metabolic variables. J Pak Med Assoc 2019 Mar;69(3):294-300 [FREE Full text] [Medline]
- Knight KM, McGowan L, Dickens C, Bundy C. A systematic review of motivational interviewing in physical health care settings. Br J Health Psychol 2006 May;11(Pt 2):319-332. [CrossRef] [Medline]
- Campbell MK, Mollison J, Steen N, Grimshaw JM, Eccles M. Analysis of cluster randomized trials in primary care: a practical approach. Fam Pract 2000 Apr;17(2):192-196. [CrossRef] [Medline]
- Bandura A. Self Efficacy: The Exercise Of Control. New York: W H Freeman & Co; 1997.
- Miller W, Rollnick S. Motivational Interviewing: Preparing People For Change, 2nd Edition. New York: The Guilford Press; 2002.
- Miller WR, Rollnick S. Ten things that motivational interviewing is not. Behav Cogn Psychother 2009 Mar;37(2):129-140. [CrossRef] [Medline]
- Moyers T, Manuel JK, Ernst D. Motivational Treatment Integrity Coding Manual 4.2.1. 2015 Jun. URL: https://casaa.unm.edu/download/MITI4_2.pdf
- Kessler RC, Andrews G, Colpe LJ, Hiripi E, Mroczek DK, Normand SL, et al. Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol Med 2002 Aug;32(6):959-976. [CrossRef] [Medline]
- The WHOQOL Group. Development of the World Health Organization WHOQOL-BREF quality of life assessment. Psychol Med 1998 May;28(3):551-558. [CrossRef] [Medline]
- Toobert DJ, Hampson SE, Glasgow RE. The summary of diabetes self-care activities measure: results from 7 studies and a revised scale. Diabetes Care 2000 Jul;23(7):943-950 [FREE Full text] [CrossRef] [Medline]
- Vivienne Wu S, Courtney M, Edwards H, McDowell J, Shortridge-Baggett LM, Chang P. Development and validation of the Chinese version of the Diabetes Management Self-efficacy Scale. Int J Nurs Stud 2008 Apr;45(4):534-542. [CrossRef] [Medline]
- Leung KF, Wong WW, Tay MSM, Chu MML, Ng SSW. Development and validation of the interview version of the Hong Kong Chinese WHOQOL-BREF. Qual Life Res 2005 Jun;14(5):1413-1419. [CrossRef] [Medline]
|APN: advanced practice nurse|
|C-DMSES: Chinese Diabetes Management Self-Efficacy Scale|
|DM: diabetes mellitus|
|GOPC: government outpatient clinic|
|HbA1c: glycated hemoglobin|
|ICC: intracluster correlation coefficient|
|K10: Kessler 10|
|MI: motivational interviewing|
|MITI: Motivational Interviewing Treatment Integrity|
|NLC: nurse-led clinic|
|QOL: quality of life|
|RCT: randomized controlled trial|
|SDSCA: Summary of Diabetes Self-Care Activities.|
Edited by C Hoving; submitted 31.07.19; peer-reviewed by J Rossen, H Mehdizadeh; comments to author 06.09.19; revised version received 28.10.19; accepted 03.02.20; published 31.03.20Copyright
©Man Kin Wong, Sai Yip Ronald Cheng, Tsun Kit Chu, Fung Yee Lam, Shiu Kee Lai, Kai Chung Wong, Jun Liang. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 31.03.2020.
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