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Published in: Trials 1/2020

01-12-2020 | Care | Study protocol

The EMPOWER-SUSTAIN e-Health Intervention to improve patient activation and self-management behaviours among individuals with Metabolic Syndrome in primary care: study protocol for a pilot randomised controlled trial

Authors: Maryam Hannah Daud, Anis Safura Ramli, Suraya Abdul-Razak, Mohamad Rodi Isa, Fakhrul Hazman Yusoff, Noorhida Baharudin, Mohamed Syarif Mohamed-Yassin, Siti Fatimah Badlishah-Sham, Azlina Wati Nikmat, Nursuriati Jamil, Hapizah Mohd-Nawawi

Published in: Trials | Issue 1/2020

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Abstract

Background

Epidemiological studies conducted in various parts of the world have clearly demonstrated that metabolic syndrome (MetS) is an increasing global health problem, not only in Western societies but also in Asian populations. Web-based and mobile phone-based self-management applications have been proven to be effective in improving self-management behaviour of patients with MetS components (i.e., diabetes or hypertension). However, evidence is lacking in terms of their effectiveness specifically for patients with MetS. The aim of this pilot study is to evaluate the feasibility and potential effectiveness of the EMPOWER-SUSTAIN Self-Management e-Health Intervention in improving activation and self-management behaviours among patients with MetS. This paper presents the study protocol.

Methods

A pilot randomised controlled trial will be conducted in a university primary care clinic. A total of 232 patients aged 18–60 years with MetS will be recruited; 116 will be randomised to receive the EMPOWER-SUSTAIN intervention for 6 months, and another 116 patients will continue with usual care. The EMPOWER-SUSTAIN intervention is a multifaceted chronic disease management strategy based on the Chronic Care Model and persuasive technology theory. It consists of training primary care physicians, nurses and patients to use the EMPOWER-SUSTAIN web-based self-management mobile app, strengthening the patient–physician relationship and reinforcing the use of relevant clinical practice guidelines to guide management and prescribing. The primary outcome is the mean change in patient activation score using the Patient Activation Measure short form Malay version (PAM-13-M) questionnaire. The secondary outcomes include the changes in waist circumference, body mass index, blood pressure, patient physical activity level, eating behaviour, perception of chronic illness care, satisfaction with patient–physician interaction, and perceived absolute 10-year cardiovascular disease risk. Feasibility of implementing the intervention will be evaluated. This includes acceptability of the intervention, estimating the likely rate of participant recruitment and retention, appropriateness of the outcome measures, calculation of sample size, and the intervention’s potential effectiveness.

Conclusion

To our knowledge, this is the first study in Malaysia that aims to determine the feasibility of a multifaceted e-health intervention, as well as to indicate more useful aspects of this intervention for further exploration in a larger trial.

Trial registration

ClinicalTrials.gov, NCT04120779. Registered on 9 October 2019, protocol version 1.
Appendix
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Literature
1.
go back to reference Alberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009;120:1640–5.PubMedCrossRef Alberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009;120:1640–5.PubMedCrossRef
3.
go back to reference O’Neill S, O’Driscoll L. Metabolic syndrome: a closer look at the growing epidemic and its associated pathologies. Obes Rev. 2015;16:1–12.PubMedCrossRef O’Neill S, O’Driscoll L. Metabolic syndrome: a closer look at the growing epidemic and its associated pathologies. Obes Rev. 2015;16:1–12.PubMedCrossRef
4.
go back to reference Ranasinghe P, Mathangasinghe Y, Jayawardena R, Hills AP, Misra A. Prevalence and trends of metabolic syndrome among adults in the Asia-Pacific region: a systematic review. BMC Public Health. 2017;17:101.PubMedPubMedCentralCrossRef Ranasinghe P, Mathangasinghe Y, Jayawardena R, Hills AP, Misra A. Prevalence and trends of metabolic syndrome among adults in the Asia-Pacific region: a systematic review. BMC Public Health. 2017;17:101.PubMedPubMedCentralCrossRef
5.
go back to reference Ramli AS, Daher AM, Nor-Ashikin MN, Mat-Nasir N, Ng KK, Miskan M, et al. JIS definition identified more Malaysian adults with metabolic syndrome compared to the NCEP-ATP III and IDF criteria. Biomed Res Int. 2013;2013:760963.PubMedPubMedCentralCrossRef Ramli AS, Daher AM, Nor-Ashikin MN, Mat-Nasir N, Ng KK, Miskan M, et al. JIS definition identified more Malaysian adults with metabolic syndrome compared to the NCEP-ATP III and IDF criteria. Biomed Res Int. 2013;2013:760963.PubMedPubMedCentralCrossRef
6.
go back to reference Lim KG, Cheah WK. A review of metabolic syndrome research in Malaysia. Med J Malaysia. 2016;71:20–8.PubMed Lim KG, Cheah WK. A review of metabolic syndrome research in Malaysia. Med J Malaysia. 2016;71:20–8.PubMed
7.
go back to reference Ueshima H, Sekikawa A, Miura K, Turin TC, Takashima N, Kita Y, et al. Cardiovascular disease and risk factors in Asia: a selected review. Circulation. 2008;118:2702–9.PubMedPubMedCentralCrossRef Ueshima H, Sekikawa A, Miura K, Turin TC, Takashima N, Kita Y, et al. Cardiovascular disease and risk factors in Asia: a selected review. Circulation. 2008;118:2702–9.PubMedPubMedCentralCrossRef
9.
go back to reference Azizi A, Rafidah HM. Prevalence and clinical characteristics of metabolic syndrome among Malaysian hypertensive subjects using the International Diabetes Federation definition. Int Med J Malaysia. 2017;16:3–9. Azizi A, Rafidah HM. Prevalence and clinical characteristics of metabolic syndrome among Malaysian hypertensive subjects using the International Diabetes Federation definition. Int Med J Malaysia. 2017;16:3–9.
10.
go back to reference Ahmad WAW. National Cardiovascular Disease Database (NCVD): annual report of the Acute Coronary Syndrome (ACS) Registry 2014–2015. Kuala Lumpur: National Heart Association of Malaysia (NHAM) and Ministry of Health Malaysia; 2017. Ahmad WAW. National Cardiovascular Disease Database (NCVD): annual report of the Acute Coronary Syndrome (ACS) Registry 2014–2015. Kuala Lumpur: National Heart Association of Malaysia (NHAM) and Ministry of Health Malaysia; 2017.
11.
go back to reference Wagner EH, Austin BT, Davis C, Hindmarsh M, Schaefer J, Bonomi A. Improving chronic illness care: translating evidence into action. Health Aff (Millwood). 2001;20:64–78.CrossRef Wagner EH, Austin BT, Davis C, Hindmarsh M, Schaefer J, Bonomi A. Improving chronic illness care: translating evidence into action. Health Aff (Millwood). 2001;20:64–78.CrossRef
12.
go back to reference Bodenheimer T, Lorig K, Holman H, Grumbach K. Patient self-management of chronic disease in primary care. JAMA. 2002;288:2469–75.PubMedCrossRef Bodenheimer T, Lorig K, Holman H, Grumbach K. Patient self-management of chronic disease in primary care. JAMA. 2002;288:2469–75.PubMedCrossRef
13.
go back to reference Si D, Bailie R, Weeramanthri T. Effectiveness of Chronic Care Model-oriented interventions to improve quality of diabetes care: a systematic review. Prim Health Care Res Dev. 2008;9:25–40.CrossRef Si D, Bailie R, Weeramanthri T. Effectiveness of Chronic Care Model-oriented interventions to improve quality of diabetes care: a systematic review. Prim Health Care Res Dev. 2008;9:25–40.CrossRef
14.
go back to reference Davy C, Bleasel J, Liu H, Tchan M, Ponniah S, Brown A. Effectiveness of chronic care models: opportunities for improving healthcare practice and health outcomes: a systematic review. BMC Health Serv Res. 2015;15:194.PubMedPubMedCentralCrossRef Davy C, Bleasel J, Liu H, Tchan M, Ponniah S, Brown A. Effectiveness of chronic care models: opportunities for improving healthcare practice and health outcomes: a systematic review. BMC Health Serv Res. 2015;15:194.PubMedPubMedCentralCrossRef
15.
go back to reference Bongaerts BW, Mussig K, Wens J, Lang C, Schwarz P, Roden M, et al. Effectiveness of chronic care models for the management of type 2 diabetes mellitus in Europe: a systematic review and meta-analysis. BMJ Open. 2017;7:e013076.PubMedPubMedCentralCrossRef Bongaerts BW, Mussig K, Wens J, Lang C, Schwarz P, Roden M, et al. Effectiveness of chronic care models for the management of type 2 diabetes mellitus in Europe: a systematic review and meta-analysis. BMJ Open. 2017;7:e013076.PubMedPubMedCentralCrossRef
16.
go back to reference Reynolds R, Dennis S, Hasan I, Slewa J, Chen W, Tian D, et al. A systematic review of chronic disease management interventions in primary care. BMC Fam Pract. 2018;19:11.PubMedPubMedCentralCrossRef Reynolds R, Dennis S, Hasan I, Slewa J, Chen W, Tian D, et al. A systematic review of chronic disease management interventions in primary care. BMC Fam Pract. 2018;19:11.PubMedPubMedCentralCrossRef
17.
go back to reference Ariffin F, Ramli AS, Daud MH, Haniff J, Abdul-Razak S, Selvarajah S, et al. Feasibility of implementing Chronic Care Model in the Malaysian public primary care setting. Med J Malaysia. 2017;72:106–12.PubMed Ariffin F, Ramli AS, Daud MH, Haniff J, Abdul-Razak S, Selvarajah S, et al. Feasibility of implementing Chronic Care Model in the Malaysian public primary care setting. Med J Malaysia. 2017;72:106–12.PubMed
18.
go back to reference Ramli AS, Selvarajah S, Daud MH, Haniff J, Abdul-Razak S, Tg-Abu-Bakar-Sidik TM, et al. Effectiveness of the EMPOWER-PAR Intervention in improving clinical outcomes of type 2 diabetes mellitus in primary care: a pragmatic cluster randomised controlled trial. BMC Fam Pract. 2016;17:157.PubMedPubMedCentralCrossRef Ramli AS, Selvarajah S, Daud MH, Haniff J, Abdul-Razak S, Tg-Abu-Bakar-Sidik TM, et al. Effectiveness of the EMPOWER-PAR Intervention in improving clinical outcomes of type 2 diabetes mellitus in primary care: a pragmatic cluster randomised controlled trial. BMC Fam Pract. 2016;17:157.PubMedPubMedCentralCrossRef
19.
go back to reference Kennedy A, Reeves D, Bower P, Lee V, Middleton E, Richardson G, et al. The effectiveness and cost effectiveness of a national lay-led self care support programme for patients with long-term conditions: a pragmatic randomised controlled trial. J Epidemiol Community Health. 2007;61:254–61.PubMedPubMedCentralCrossRef Kennedy A, Reeves D, Bower P, Lee V, Middleton E, Richardson G, et al. The effectiveness and cost effectiveness of a national lay-led self care support programme for patients with long-term conditions: a pragmatic randomised controlled trial. J Epidemiol Community Health. 2007;61:254–61.PubMedPubMedCentralCrossRef
20.
go back to reference Kuo CC, Lin CC, Tsai FM. Effectiveness of empowerment-based self-management interventions on patients with chronic metabolic diseases: a systematic review and meta-analysis. J Adv Nursing. 2014;11:301–15. Kuo CC, Lin CC, Tsai FM. Effectiveness of empowerment-based self-management interventions on patients with chronic metabolic diseases: a systematic review and meta-analysis. J Adv Nursing. 2014;11:301–15.
22.
go back to reference Bravo P, Edwards A, Barr PJ, Scholl I, Elwyn G, McAllister M, et al. Conceptualising patient empowerment: a mixed methods study. BMC Health Serv Res. 2015;15:252.PubMedPubMedCentralCrossRef Bravo P, Edwards A, Barr PJ, Scholl I, Elwyn G, McAllister M, et al. Conceptualising patient empowerment: a mixed methods study. BMC Health Serv Res. 2015;15:252.PubMedPubMedCentralCrossRef
23.
go back to reference Hibbard JH, Stockard J, Mahoney ER, Tusler M. Development of the Patient Activation Measure (PAM): conceptualizing and measuring activation in patients and consumers. Health Serv Res. 2004;39:1005–26.PubMedPubMedCentralCrossRef Hibbard JH, Stockard J, Mahoney ER, Tusler M. Development of the Patient Activation Measure (PAM): conceptualizing and measuring activation in patients and consumers. Health Serv Res. 2004;39:1005–26.PubMedPubMedCentralCrossRef
24.
go back to reference Hibbard JH, Mahoney ER, Stockard J, Tusler M. Development and testing of a short form of the Patient Activation Measure. Health Serv Res. 2005;40:1918–30.PubMedPubMedCentralCrossRef Hibbard JH, Mahoney ER, Stockard J, Tusler M. Development and testing of a short form of the Patient Activation Measure. Health Serv Res. 2005;40:1918–30.PubMedPubMedCentralCrossRef
25.
go back to reference Hibbard JH, Mahoney ER, Stock R, Tusler M. Do increases in patient activation result in improved self-management behaviors? Health Serv Res. 2007;42:1443–63.PubMedPubMedCentralCrossRef Hibbard JH, Mahoney ER, Stock R, Tusler M. Do increases in patient activation result in improved self-management behaviors? Health Serv Res. 2007;42:1443–63.PubMedPubMedCentralCrossRef
26.
go back to reference Hibbard JH, Cunningham PJ. How engaged are consumers in their health and health care, and why does it matter? Res Brief. 2008;8:1–9. Hibbard JH, Cunningham PJ. How engaged are consumers in their health and health care, and why does it matter? Res Brief. 2008;8:1–9.
27.
go back to reference Hibbard JH, Greene J, Tusler M. Improving the outcomes of disease management by tailoring care to the patient’s level of activation. Am J Manag Care. 2009;15:353–60.PubMed Hibbard JH, Greene J, Tusler M. Improving the outcomes of disease management by tailoring care to the patient’s level of activation. Am J Manag Care. 2009;15:353–60.PubMed
28.
go back to reference Graffigna G, Barello S, Bonanomi A, Lozza E, Hibbard J. Measuring patient activation in Italy: translation, adaptation and validation of the Italian version of the Patient Activation Measure 13 (PAM13-I). BMC Med Inform Decis Mak. 2015;15:109.PubMedPubMedCentralCrossRef Graffigna G, Barello S, Bonanomi A, Lozza E, Hibbard J. Measuring patient activation in Italy: translation, adaptation and validation of the Italian version of the Patient Activation Measure 13 (PAM13-I). BMC Med Inform Decis Mak. 2015;15:109.PubMedPubMedCentralCrossRef
29.
go back to reference Greene J, Hibbard JH, Sacks R, Overton V, Parrotta CD. When patient activation levels change, health outcomes and costs change, too. Health Aff (Millwood). 2015;34:431–7.PubMedCrossRef Greene J, Hibbard JH, Sacks R, Overton V, Parrotta CD. When patient activation levels change, health outcomes and costs change, too. Health Aff (Millwood). 2015;34:431–7.PubMedCrossRef
30.
go back to reference Smith SG, Pandit A, Rush SR, Wolf MS, Simon C. The association between patient activation and accessing online health information: results from a national survey of US adults. Health Expect. 2014;18:3262–73.PubMedPubMedCentralCrossRef Smith SG, Pandit A, Rush SR, Wolf MS, Simon C. The association between patient activation and accessing online health information: results from a national survey of US adults. Health Expect. 2014;18:3262–73.PubMedPubMedCentralCrossRef
31.
go back to reference Greene J, Hibbard JH. Why does patient activation matter? An examination of the relationships between patient activation and health-related outcomes. J Gen Intern Med. 2011;27:520–6.PubMedCentralCrossRef Greene J, Hibbard JH. Why does patient activation matter? An examination of the relationships between patient activation and health-related outcomes. J Gen Intern Med. 2011;27:520–6.PubMedCentralCrossRef
32.
go back to reference Mitchell SE, Gardiner PM, Sadikova E, Martin JM, Jack BW, Hibbard JH, et al. Patient activation and 30-day post-discharge hospital utilization. J Gen Intern Med. 2013;29:349–55.PubMedPubMedCentralCrossRef Mitchell SE, Gardiner PM, Sadikova E, Martin JM, Jack BW, Hibbard JH, et al. Patient activation and 30-day post-discharge hospital utilization. J Gen Intern Med. 2013;29:349–55.PubMedPubMedCentralCrossRef
33.
go back to reference McCabe PJ, Stuart-Mullen LG, McLeod CJ, et al. Patient activation for self-management is associated with health status in patients with atrial fibrillation. Patient Prefer Adherence. 2018;12:1907–16.PubMedPubMedCentralCrossRef McCabe PJ, Stuart-Mullen LG, McLeod CJ, et al. Patient activation for self-management is associated with health status in patients with atrial fibrillation. Patient Prefer Adherence. 2018;12:1907–16.PubMedPubMedCentralCrossRef
34.
go back to reference Yu CH, Parsons J, Mamdani M, et al. Designing and evaluating a web-based self-management site for patients with type 2 diabetes – systematic website development and study protocol. BMC Med Inform Decis Mak. 2012;12:57.PubMedPubMedCentralCrossRef Yu CH, Parsons J, Mamdani M, et al. Designing and evaluating a web-based self-management site for patients with type 2 diabetes – systematic website development and study protocol. BMC Med Inform Decis Mak. 2012;12:57.PubMedPubMedCentralCrossRef
35.
go back to reference Jahangiry L, Shojaeizadeh D, Abbasalizad Farhangi M, Yaseri M, Mohammad K, Najafi M, et al. Interactive web-based lifestyle intervention and metabolic syndrome: findings from the Red Ruby (a randomized controlled trial). Trials. 2015;16:418.PubMedPubMedCentralCrossRef Jahangiry L, Shojaeizadeh D, Abbasalizad Farhangi M, Yaseri M, Mohammad K, Najafi M, et al. Interactive web-based lifestyle intervention and metabolic syndrome: findings from the Red Ruby (a randomized controlled trial). Trials. 2015;16:418.PubMedPubMedCentralCrossRef
36.
go back to reference Whitehead L, Seaton P. The effectiveness of self-management mobile phone and tablet apps in long-term condition management: a systematic review. J Med Internet Res. 2016;18:e97.PubMedPubMedCentralCrossRef Whitehead L, Seaton P. The effectiveness of self-management mobile phone and tablet apps in long-term condition management: a systematic review. J Med Internet Res. 2016;18:e97.PubMedPubMedCentralCrossRef
37.
go back to reference Årsand E, Tatara N, Østengen G, Hartvigsen G. Mobile phone-based self-management tools for type 2 diabetes: the Few Touch application. J Diabetes Sci Technol. 2010;4:328–36.PubMedPubMedCentralCrossRef Årsand E, Tatara N, Østengen G, Hartvigsen G. Mobile phone-based self-management tools for type 2 diabetes: the Few Touch application. J Diabetes Sci Technol. 2010;4:328–36.PubMedPubMedCentralCrossRef
38.
go back to reference Silveira DV, Marcolino MS, Machado EL, et al. Development and evaluation of a mobile decision support system for hypertension management in the primary care setting in Brazil: mixed-methods field study on usability, feasibility, and utility. JMIR Mhealth Uhealth. 2019;7(3):e9869.PubMedPubMedCentralCrossRef Silveira DV, Marcolino MS, Machado EL, et al. Development and evaluation of a mobile decision support system for hypertension management in the primary care setting in Brazil: mixed-methods field study on usability, feasibility, and utility. JMIR Mhealth Uhealth. 2019;7(3):e9869.PubMedPubMedCentralCrossRef
39.
go back to reference Orji R, Moffatt K. Persuasive technology for health and wellness: state-of-the-art and emerging trends. Health Informatics J. 2018;24:66–91.PubMedCrossRef Orji R, Moffatt K. Persuasive technology for health and wellness: state-of-the-art and emerging trends. Health Informatics J. 2018;24:66–91.PubMedCrossRef
40.
go back to reference Chan AW, Tetzlaff JM, Gotzsche PC, Altman DG, Mann H, Berlin JA, et al. SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ. 2013;346:e7586.PubMedPubMedCentralCrossRef Chan AW, Tetzlaff JM, Gotzsche PC, Altman DG, Mann H, Berlin JA, et al. SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ. 2013;346:e7586.PubMedPubMedCentralCrossRef
41.
go back to reference Eldridge SM, Chan CL, Campbell MJ, Bond CM, Hopewell S, Thabane L, et al. CONSORT 2010 statement: extension to randomised pilot and feasibility trials. BMJ. 2016;355:i5239.PubMedPubMedCentralCrossRef Eldridge SM, Chan CL, Campbell MJ, Bond CM, Hopewell S, Thabane L, et al. CONSORT 2010 statement: extension to randomised pilot and feasibility trials. BMJ. 2016;355:i5239.PubMedPubMedCentralCrossRef
43.
go back to reference Blatch-Jones AJ, Pek W, Kirkpatrick E, Ashton-Key M. Role of feasibility and pilot studies in randomised controlled trials: a cross-sectional study. BMJ Open. 2018;8:e022233.PubMedPubMedCentralCrossRef Blatch-Jones AJ, Pek W, Kirkpatrick E, Ashton-Key M. Role of feasibility and pilot studies in randomised controlled trials: a cross-sectional study. BMJ Open. 2018;8:e022233.PubMedPubMedCentralCrossRef
44.
go back to reference Levati S, Campbell P, Frost R, Dougall N, Wells M, Donaldson C, et al. Optimisation of complex health interventions prior to a randomised controlled trial: a scoping review of strategies used. Pilot Feasibility Stud. 2016;2:17.PubMedPubMedCentralCrossRef Levati S, Campbell P, Frost R, Dougall N, Wells M, Donaldson C, et al. Optimisation of complex health interventions prior to a randomised controlled trial: a scoping review of strategies used. Pilot Feasibility Stud. 2016;2:17.PubMedPubMedCentralCrossRef
45.
go back to reference Whitehead AL, Sully BG, Campbell MJ. Pilot and feasibility studies: is there a difference from each other and from a randomised controlled trial? Contemp Clin Trials. 2014;38:130–3.PubMedCrossRef Whitehead AL, Sully BG, Campbell MJ. Pilot and feasibility studies: is there a difference from each other and from a randomised controlled trial? Contemp Clin Trials. 2014;38:130–3.PubMedCrossRef
46.
go back to reference Skivington K, Matthews L, Craig P, Simpson S, Moore L. Developing and evaluating complex interventions: updating Medical Research Council guidance to take account of new methodological and theoretical approaches [abstract]. Lancet. 2018;392:S2.CrossRef Skivington K, Matthews L, Craig P, Simpson S, Moore L. Developing and evaluating complex interventions: updating Medical Research Council guidance to take account of new methodological and theoretical approaches [abstract]. Lancet. 2018;392:S2.CrossRef
47.
go back to reference Craig P, Cooper C, Gunnell D, Haw S, Lawson K, Macintyre S, et al. Using natural experiments to evaluate population health interventions: new Medical Research Council guidance. J Epidemiol Community Health. 2012;66:1182–6.PubMedCrossRef Craig P, Cooper C, Gunnell D, Haw S, Lawson K, Macintyre S, et al. Using natural experiments to evaluate population health interventions: new Medical Research Council guidance. J Epidemiol Community Health. 2012;66:1182–6.PubMedCrossRef
48.
go back to reference Solomon M, Wagner SL, Goes J. Effects of a Web-based intervention for adults with chronic conditions on patient activation: online randomized controlled trial. J Med Internet Res. 2012;14(1):e32.PubMedPubMedCentralCrossRef Solomon M, Wagner SL, Goes J. Effects of a Web-based intervention for adults with chronic conditions on patient activation: online randomized controlled trial. J Med Internet Res. 2012;14(1):e32.PubMedPubMedCentralCrossRef
49.
go back to reference Morris ME, Kathawala Q, Leen TK, Gorenstein EE, Guilak F, Labhard M, et al. Mobile therapy: case study evaluations of a cell phone application for emotional self-awareness. J Med Internet Res. 2010;12:e10.PubMedPubMedCentralCrossRef Morris ME, Kathawala Q, Leen TK, Gorenstein EE, Guilak F, Labhard M, et al. Mobile therapy: case study evaluations of a cell phone application for emotional self-awareness. J Med Internet Res. 2010;12:e10.PubMedPubMedCentralCrossRef
50.
go back to reference Morton K, Beauchamp M, Prothero A, Joyce L, Saunders L, Spencer-Bowdage S, et al. The effectiveness of motivational interviewing for health behaviour change in primary care settings: a systematic review. Health Psychol Rev. 2015;9:205–23.PubMedCrossRef Morton K, Beauchamp M, Prothero A, Joyce L, Saunders L, Spencer-Bowdage S, et al. The effectiveness of motivational interviewing for health behaviour change in primary care settings: a systematic review. Health Psychol Rev. 2015;9:205–23.PubMedCrossRef
51.
go back to reference Jung H, Lee JE. The impact of community-based eHealth self-management intervention among elderly living alone with hypertension. J Telemed Telecare. 2017;23:167–73.PubMedCrossRef Jung H, Lee JE. The impact of community-based eHealth self-management intervention among elderly living alone with hypertension. J Telemed Telecare. 2017;23:167–73.PubMedCrossRef
52.
go back to reference Varnfield M, Karunanithi M, Lee CK, Honeyman E, Arnold D, Ding H, et al. Smartphone-based home care model improved use of cardiac rehabilitation in postmyocardial infarction patients: results from a randomised controlled trial. Heart. 2014;100:1770–9.PubMedCrossRef Varnfield M, Karunanithi M, Lee CK, Honeyman E, Arnold D, Ding H, et al. Smartphone-based home care model improved use of cardiac rehabilitation in postmyocardial infarction patients: results from a randomised controlled trial. Heart. 2014;100:1770–9.PubMedCrossRef
53.
go back to reference Glasgow RE, Kurz D, King D, Dickman JM, Faber AJ, Halterman E, et al. Twelve-month outcomes of an Internet-based diabetes self-management support program. Patient Educ Couns. 2012;87:81–92.PubMedCrossRef Glasgow RE, Kurz D, King D, Dickman JM, Faber AJ, Halterman E, et al. Twelve-month outcomes of an Internet-based diabetes self-management support program. Patient Educ Couns. 2012;87:81–92.PubMedCrossRef
54.
go back to reference Quinn CC, Shardell MD, Terrin ML, Barr EA, Ballew SH, Gruber-Baldini AL. Cluster-randomized trial of a mobile phone personalized behavioral intervention for blood glucose control. Diabetes Care. 2011;34:1934–42.PubMedPubMedCentralCrossRef Quinn CC, Shardell MD, Terrin ML, Barr EA, Ballew SH, Gruber-Baldini AL. Cluster-randomized trial of a mobile phone personalized behavioral intervention for blood glucose control. Diabetes Care. 2011;34:1934–42.PubMedPubMedCentralCrossRef
55.
go back to reference Hägglun E, Lyngå P, Frie F, Ullman B, Persson H, Melin M, et al. Patient-centred home-based management of heart failure: findings from a randomised clinical trial evaluating a tablet computer for self-care, quality of life and effects on knowledge. Scand Cardiovasc J. 2015;49:193–9.CrossRef Hägglun E, Lyngå P, Frie F, Ullman B, Persson H, Melin M, et al. Patient-centred home-based management of heart failure: findings from a randomised clinical trial evaluating a tablet computer for self-care, quality of life and effects on knowledge. Scand Cardiovasc J. 2015;49:193–9.CrossRef
56.
go back to reference Waki K, Fujita H, Uchimura Y, Omae K, Aramaki E, Kato S, et al. DialBetics: a novel smartphone-based self-management support system for type 2 diabetes patients. J Diabetes Sci Technol. 2014;8:209–15.PubMedPubMedCentralCrossRef Waki K, Fujita H, Uchimura Y, Omae K, Aramaki E, Kato S, et al. DialBetics: a novel smartphone-based self-management support system for type 2 diabetes patients. J Diabetes Sci Technol. 2014;8:209–15.PubMedPubMedCentralCrossRef
57.
go back to reference Liu WT, Huang CD, Wang CH, Lee KY, Lin SM, Kuo HP. A mobile telephone-based interactive self-care system improves asthma control. Eur Respir J. 2011;37:310–7.PubMedCrossRef Liu WT, Huang CD, Wang CH, Lee KY, Lin SM, Kuo HP. A mobile telephone-based interactive self-care system improves asthma control. Eur Respir J. 2011;37:310–7.PubMedCrossRef
58.
go back to reference Barjtya S, Sharma A, Rani U. A detailed study of Software Development Life Cycle (SDLC) models. Int J Eng Comput Sci. 2017;6:22097–100. Barjtya S, Sharma A, Rani U. A detailed study of Software Development Life Cycle (SDLC) models. Int J Eng Comput Sci. 2017;6:22097–100.
59.
60.
go back to reference Ali K. A study of Software Development Life Cycle process models. Int J Adv Res Comput Sci. 2017;8:15–23.CrossRef Ali K. A study of Software Development Life Cycle process models. Int J Adv Res Comput Sci. 2017;8:15–23.CrossRef
61.
go back to reference Naeem F, Syed Y, Xiang S, Shokraneh F, Munshi T, Yang Y, et al. Development, testing and reporting of mobile apps for psycho-social interventions: lessons from the pharmaceuticals. J Med Diagn Meth. 2015;4:1000191. Naeem F, Syed Y, Xiang S, Shokraneh F, Munshi T, Yang Y, et al. Development, testing and reporting of mobile apps for psycho-social interventions: lessons from the pharmaceuticals. J Med Diagn Meth. 2015;4:1000191.
62.
go back to reference Ruggiero KJ, Bunnell BE, Andrews AR III, et al. Development and pilot evaluation of a tablet-based application to improve quality of care in child mental health treatment. JMIR Res Protoc. 2015;4(4):e143.PubMedPubMedCentralCrossRef Ruggiero KJ, Bunnell BE, Andrews AR III, et al. Development and pilot evaluation of a tablet-based application to improve quality of care in child mental health treatment. JMIR Res Protoc. 2015;4(4):e143.PubMedPubMedCentralCrossRef
65.
go back to reference Sohl SJ, Birdee G, Elam R. Complementary tools to empower and sustain behavior change: motivational interviewing and mindfulness. Am J Lifestyle Med. 2016;10:429–36.PubMedPubMedCentralCrossRef Sohl SJ, Birdee G, Elam R. Complementary tools to empower and sustain behavior change: motivational interviewing and mindfulness. Am J Lifestyle Med. 2016;10:429–36.PubMedPubMedCentralCrossRef
66.
go back to reference Wolever RQ, Simmons LA, Sforzo GA, Dill D, Kaye M, Bechard EM, et al. A systematic review of the literature on health and wellness coaching: defining a key behavioral intervention in healthcare. Glob Adv Health Med. 2013;2:38–57.PubMedPubMedCentralCrossRef Wolever RQ, Simmons LA, Sforzo GA, Dill D, Kaye M, Bechard EM, et al. A systematic review of the literature on health and wellness coaching: defining a key behavioral intervention in healthcare. Glob Adv Health Med. 2013;2:38–57.PubMedPubMedCentralCrossRef
67.
go back to reference Boehmer KR, Barakat S, Ahn S, Prokop LJ, Erwin PJ, Murad MH. Health coaching interventions for persons with chronic conditions: a systematic review and meta-analysis protocol. Syst Rev. 2016;5:146.PubMedPubMedCentralCrossRef Boehmer KR, Barakat S, Ahn S, Prokop LJ, Erwin PJ, Murad MH. Health coaching interventions for persons with chronic conditions: a systematic review and meta-analysis protocol. Syst Rev. 2016;5:146.PubMedPubMedCentralCrossRef
68.
go back to reference Simmons LA, Wolever RQ. Integrative health coaching and motivational interviewing: synergistic approaches to behavior change in healthcare. Glob Adv Health Med. 2013;2:28–35.PubMedPubMedCentralCrossRef Simmons LA, Wolever RQ. Integrative health coaching and motivational interviewing: synergistic approaches to behavior change in healthcare. Glob Adv Health Med. 2013;2:28–35.PubMedPubMedCentralCrossRef
69.
go back to reference Graham ID, Logan J, Harrison MB, et al. Lost in knowledge translation: time for a map? J Contin Educ Health Prof. 2006;26(1):13–24.PubMedCrossRef Graham ID, Logan J, Harrison MB, et al. Lost in knowledge translation: time for a map? J Contin Educ Health Prof. 2006;26(1):13–24.PubMedCrossRef
70.
go back to reference Shamsuddin N, Koon PB, Syed Zakaria SZ, Noor MS, Jamal R. Reliability and validity of Malay language version of International Physical Activity Questionnaire (IPAQ-M) among the Malaysian cohort participants. Int J Public Health Res. 2015;5:643–53. Shamsuddin N, Koon PB, Syed Zakaria SZ, Noor MS, Jamal R. Reliability and validity of Malay language version of International Physical Activity Questionnaire (IPAQ-M) among the Malaysian cohort participants. Int J Public Health Res. 2015;5:643–53.
71.
go back to reference Subramaniam K, Low WY, Chinna K, Chin KF, Krishnaswamy S. Psychometric properties of the Malay version of the Dutch Eating Behaviour Questionnaire (DEBQ) in a sample of Malaysian adults attending a health care facility. Malays J Med Sci. 2017;24:64–73.PubMedPubMedCentral Subramaniam K, Low WY, Chinna K, Chin KF, Krishnaswamy S. Psychometric properties of the Malay version of the Dutch Eating Behaviour Questionnaire (DEBQ) in a sample of Malaysian adults attending a health care facility. Malays J Med Sci. 2017;24:64–73.PubMedPubMedCentral
72.
go back to reference Abdul-Razak S, Ramli AS, Badlishah-Sham SF, Haniff J. Validity and reliability of the Patient Assessment on Chronic Illness Care (PACIC) questionnaire: the Malay version. BMC Fam Pract. 2018;19:119.PubMedPubMedCentralCrossRef Abdul-Razak S, Ramli AS, Badlishah-Sham SF, Haniff J. Validity and reliability of the Patient Assessment on Chronic Illness Care (PACIC) questionnaire: the Malay version. BMC Fam Pract. 2018;19:119.PubMedPubMedCentralCrossRef
73.
go back to reference Abd Aziz A, Nordin NIF, Mohd Noor N, Bachok N, Isa NIS. Psychometric properties of the ‘Skala Kepuasan Interaksi Perubatan-11’ to measure patient satisfaction with physician-patient interaction in Malaysia. Fam Pract. 2014;31:236–44.PubMedCrossRef Abd Aziz A, Nordin NIF, Mohd Noor N, Bachok N, Isa NIS. Psychometric properties of the ‘Skala Kepuasan Interaksi Perubatan-11’ to measure patient satisfaction with physician-patient interaction in Malaysia. Fam Pract. 2014;31:236–44.PubMedCrossRef
74.
go back to reference Frijlinga BD, Lobob CM, Keusa IM, Jenksa KM, Akkermansa RP, Hulschera MEJL, et al. Perceptions of cardiovascular risk among patients with hypertension or diabetes. Patient Educ Couns. 2004;52:47–53.CrossRef Frijlinga BD, Lobob CM, Keusa IM, Jenksa KM, Akkermansa RP, Hulschera MEJL, et al. Perceptions of cardiovascular risk among patients with hypertension or diabetes. Patient Educ Couns. 2004;52:47–53.CrossRef
75.
go back to reference D’Agostino RB Sr, Vasan RS, Pencina MJ, Wolf PA, Cobain M, Massaro JM, et al. General cardiovascular risk profile for use in primary care: the Framingham Heart Study. Circulation. 2008;117:743–53.PubMedCrossRef D’Agostino RB Sr, Vasan RS, Pencina MJ, Wolf PA, Cobain M, Massaro JM, et al. General cardiovascular risk profile for use in primary care: the Framingham Heart Study. Circulation. 2008;117:743–53.PubMedCrossRef
76.
go back to reference Martell-Claros N, Aranda P, Gonzalez-Albarran O, Dalfo-Baque A, Dominguez-Sardina M, de la Cruz JJ, et al. Perception of health and understanding of cardiovascular risk among patients with recently diagnosed diabetes and/or metabolic syndrome. Eur J Prev Cardiol. 2013;20:21–8.PubMedCrossRef Martell-Claros N, Aranda P, Gonzalez-Albarran O, Dalfo-Baque A, Dominguez-Sardina M, de la Cruz JJ, et al. Perception of health and understanding of cardiovascular risk among patients with recently diagnosed diabetes and/or metabolic syndrome. Eur J Prev Cardiol. 2013;20:21–8.PubMedCrossRef
78.
go back to reference Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, et al. International Physical Activity Questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35:1381–95.PubMedCrossRef Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, et al. International Physical Activity Questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35:1381–95.PubMedCrossRef
80.
go back to reference van Strien T, Frijters JER, Bergers GPA, Defares PB. The Dutch Eating Behavior Questionnaire (DEBQ) for assessment of restrained, emotional, and external eating behavior. Int J Eat Disord. 1986;5:295–315. van Strien T, Frijters JER, Bergers GPA, Defares PB. The Dutch Eating Behavior Questionnaire (DEBQ) for assessment of restrained, emotional, and external eating behavior. Int J Eat Disord. 1986;5:295–315.
81.
go back to reference Glasgow RE, Wagner EH, Schaefer J, Mahoney LD, Reid RJ, Greene SM. Development and validation of the Patient Assessment of Chronic Illness Care (PACIC). Med Care. 2005;43:436–44.PubMedCrossRef Glasgow RE, Wagner EH, Schaefer J, Mahoney LD, Reid RJ, Greene SM. Development and validation of the Patient Assessment of Chronic Illness Care (PACIC). Med Care. 2005;43:436–44.PubMedCrossRef
82.
go back to reference Meakin R. The ‘Medical Interview Satisfaction Scale’ (MISS-21) adapted for British general practice. Fam Pract. 2002;19:257–63.PubMedCrossRef Meakin R. The ‘Medical Interview Satisfaction Scale’ (MISS-21) adapted for British general practice. Fam Pract. 2002;19:257–63.PubMedCrossRef
83.
go back to reference Chia YC, Gray SY, Ching SM, Lim HM, Chinna K. Validation of the Framingham general cardiovascular risk score in a multiethnic Asian population: a retrospective cohort study. BMJ Open. 2015;5:e007324.PubMedPubMedCentralCrossRef Chia YC, Gray SY, Ching SM, Lim HM, Chinna K. Validation of the Framingham general cardiovascular risk score in a multiethnic Asian population: a retrospective cohort study. BMJ Open. 2015;5:e007324.PubMedPubMedCentralCrossRef
84.
85.
go back to reference Bland JM, Altman DG. Measuring agreement in method comparison studies. Stat Methods Med Res. 1999;8:135–60.PubMedCrossRef Bland JM, Altman DG. Measuring agreement in method comparison studies. Stat Methods Med Res. 1999;8:135–60.PubMedCrossRef
86.
go back to reference Bodenheimer T, Wagner EH, Grumbach K. Improving primary care for patients with chronic illness. JAMA. 2002;288:1775–9.PubMedCrossRef Bodenheimer T, Wagner EH, Grumbach K. Improving primary care for patients with chronic illness. JAMA. 2002;288:1775–9.PubMedCrossRef
88.
go back to reference Li I, Dey A, Forlizzi J. A stage-based model of personal informatics systems. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ‘10) 2010, Atlanta, GA, USA. p. 557–566. Li I, Dey A, Forlizzi J. A stage-based model of personal informatics systems. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ‘10) 2010, Atlanta, GA, USA. p. 557–566.
90.
go back to reference Ramli AS, Lakshmanan S, Haniff J, Selvarajah S, Tong SF, Bujang MA, et al. Study protocol of EMPOWER Participatory Action Research (EMPOWER-PAR): a pragmatic cluster randomised controlled trial of multifaceted chronic disease management strategies to improve diabetes and hypertension outcomes in primary care. BMC Fam Pract. 2014;15:151.PubMedPubMedCentralCrossRef Ramli AS, Lakshmanan S, Haniff J, Selvarajah S, Tong SF, Bujang MA, et al. Study protocol of EMPOWER Participatory Action Research (EMPOWER-PAR): a pragmatic cluster randomised controlled trial of multifaceted chronic disease management strategies to improve diabetes and hypertension outcomes in primary care. BMC Fam Pract. 2014;15:151.PubMedPubMedCentralCrossRef
Metadata
Title
The EMPOWER-SUSTAIN e-Health Intervention to improve patient activation and self-management behaviours among individuals with Metabolic Syndrome in primary care: study protocol for a pilot randomised controlled trial
Authors
Maryam Hannah Daud
Anis Safura Ramli
Suraya Abdul-Razak
Mohamad Rodi Isa
Fakhrul Hazman Yusoff
Noorhida Baharudin
Mohamed Syarif Mohamed-Yassin
Siti Fatimah Badlishah-Sham
Azlina Wati Nikmat
Nursuriati Jamil
Hapizah Mohd-Nawawi
Publication date
01-12-2020
Publisher
BioMed Central
Keyword
Care
Published in
Trials / Issue 1/2020
Electronic ISSN: 1745-6215
DOI
https://doi.org/10.1186/s13063-020-04237-x

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