Skip to main content
Top
Published in: Systematic Reviews 1/2017

Open Access 01-12-2017 | Protocol

Effectiveness of behavioral change techniques employed in eHealth interventions designed to improve glycemic control in persons with poorly controlled type 2 diabetes: a systematic review and meta-analysis protocol

Authors: Mihiretu Kebede, Lara Christianson, Zohaib Khan, Thomas L. Heise, Claudia R. Pischke

Published in: Systematic Reviews | Issue 1/2017

Login to get access

Abstract

Background

The incorporation of Behavioral Change Techniques (BCTs) in eHealth interventions for the management of non-communicable diseases (NCDs), such as type 2 diabetes mellitus (T2DM), might be a promising approach to improve clinical and behavioral outcomes of NCDs in the long run. This 3paper reports a protocol for a systematic review that aims to (a) identify the effects of individual BCTs in eHealth interventions for lowering glycated hemoglobin levels (HbA1c) and (b) investigate which additional intervention features (duration of intervention, tailoring, theory-base, and mode of delivery) affect levels of HbA1c in this population. The protocol follows the Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P) 2015 guideline.

Methods/design

To identify eligible studies, an extensive systematic database search (PubMed, Web of Science, and PsycINFO) using keywords will be conducted. This review will include randomized controlled trials examining the effects of eHealth interventions on HbA1c in persons with poorly controlled T2DM over a minimum follow-up period of 3 months. Relevant data will be extracted from the included studies using Microsoft Excel. The content of the interventions will be extracted from the description of interventions and will be classified according to the BCT taxonomy v1 tool. The quality of studies will be independently assessed by two reviewers using the Cochrane risk of bias tool. If the studies have adequate homogeneity, meta-analysis will be considered. The effect sizes of each BCT will be calculated using the random effect model. The quality of the synthesized evidence will be evaluated employing the Grading of the Recommendations Assessment, Development and Evaluation (GRADE) criteria.

Discussion

This systematic review is one of the firsts to appraise the effectiveness of eHealth interventions employing BCTs which aimed at improving glycemic control in persons with poorly controlled T2DM. The review will aggregate the effect sizes of BCTs on HbA1c levels. The results may inform future eHealth interventions targeting poorly controlled T2DM populations.

Systematic review registration

PROSPERO CRD42016049940
Appendix
Available only for authorised users
Literature
1.
go back to reference IDF. Diabetes Atlas, International diabetes federation, 2013 contract no. 6th ed; 2014. IDF. Diabetes Atlas, International diabetes federation, 2013 contract no. 6th ed; 2014.
2.
go back to reference Zhaolan L, Chaowei F, Weibing W, Xu B. Research prevalence of chronic complications of type 2 diabetes mellitus in outpatients––a cross-sectional hospital based survey in urban China. Health Qual Life Outcomes. 2010;8:62.CrossRef Zhaolan L, Chaowei F, Weibing W, Xu B. Research prevalence of chronic complications of type 2 diabetes mellitus in outpatients––a cross-sectional hospital based survey in urban China. Health Qual Life Outcomes. 2010;8:62.CrossRef
4.
go back to reference WHO. Global report on diabetes Geneva, Switzerland World Health Organization 2016. WHO. Global report on diabetes Geneva, Switzerland World Health Organization 2016.
5.
go back to reference American Diabetes A. Standards of medical care in diabetes––2014. Diabetes Care. 2014;37(Suppl 1):S14–80.CrossRef American Diabetes A. Standards of medical care in diabetes––2014. Diabetes Care. 2014;37(Suppl 1):S14–80.CrossRef
6.
go back to reference Girach A, Manner D, Porta M. Diabetic microvascular complications: can patients at risk be identified? A review Int J Clin Pract. 2006;60(11):1471–83.CrossRefPubMed Girach A, Manner D, Porta M. Diabetic microvascular complications: can patients at risk be identified? A review Int J Clin Pract. 2006;60(11):1471–83.CrossRefPubMed
7.
go back to reference Avramopoulos I, Moulis A, Nikas N. Glycaemic control, treatment satisfaction and quality of life in type 2 diabetes patients in Greece: the PANORAMA study Greek results. World J Diabetes. 2015;6(1):208–16.CrossRefPubMedPubMedCentral Avramopoulos I, Moulis A, Nikas N. Glycaemic control, treatment satisfaction and quality of life in type 2 diabetes patients in Greece: the PANORAMA study Greek results. World J Diabetes. 2015;6(1):208–16.CrossRefPubMedPubMedCentral
8.
go back to reference Elgart JF, Gonzalez L, Prestes M, Rucci E, Gagliardino JJ. Frequency of self-monitoring blood glucose and attainment of HbA1c target values. Acta Diabetol. 2016;53(1):57–62.CrossRefPubMed Elgart JF, Gonzalez L, Prestes M, Rucci E, Gagliardino JJ. Frequency of self-monitoring blood glucose and attainment of HbA1c target values. Acta Diabetol. 2016;53(1):57–62.CrossRefPubMed
9.
go back to reference American Diabetes A. 6. Glycemic targets. Diabetes Care. 2017;40(Suppl 1):S48–56.CrossRef American Diabetes A. 6. Glycemic targets. Diabetes Care. 2017;40(Suppl 1):S48–56.CrossRef
10.
go back to reference American Diabetes A. Foundations of care and comprehensive medical evaluation. Diabetes Care. 2016;39(Suppl 1):S23–35. American Diabetes A. Foundations of care and comprehensive medical evaluation. Diabetes Care. 2016;39(Suppl 1):S23–35.
11.
go back to reference Graffigna G, Barello S, Triberti S, Wiederhold BK, Bosio AC, Riva G. Enabling eHealth as a pathway for patient engagement: a toolkit for medical practice. Stud Health Technol Inform. 2014;199:13–21.PubMed Graffigna G, Barello S, Triberti S, Wiederhold BK, Bosio AC, Riva G. Enabling eHealth as a pathway for patient engagement: a toolkit for medical practice. Stud Health Technol Inform. 2014;199:13–21.PubMed
12.
go back to reference Coulter A, Parsons S, Askham J. Policy brief: where are the patients in decision-making about their own care? Denmark: World Health Organisation, WHO; 2008. Coulter A, Parsons S, Askham J. Policy brief: where are the patients in decision-making about their own care? Denmark: World Health Organisation, WHO; 2008.
13.
go back to reference Capozza K, Woolsey S, Georgsson M, Black J, Bello N, Lence C, et al. Going mobile with diabetes support: a randomized study of a text message-based personalized behavioral intervention for type 2 diabetes self-care. Diabetes spectrum: a publication of the American Diabetes Association. 2015;28(2):83–91.CrossRef Capozza K, Woolsey S, Georgsson M, Black J, Bello N, Lence C, et al. Going mobile with diabetes support: a randomized study of a text message-based personalized behavioral intervention for type 2 diabetes self-care. Diabetes spectrum: a publication of the American Diabetes Association. 2015;28(2):83–91.CrossRef
14.
go back to reference Buis LR, Hirzel L, Turske SA, Des Jardins TR, Yarandi H, Bondurant P. Use of a text message program to raise type 2 diabetes risk awareness and promote health behavior change (part II): assessment of participants’ perceptions on efficacy. J Med Internet Res. 2013;15(12):e282.CrossRefPubMedPubMedCentral Buis LR, Hirzel L, Turske SA, Des Jardins TR, Yarandi H, Bondurant P. Use of a text message program to raise type 2 diabetes risk awareness and promote health behavior change (part II): assessment of participants’ perceptions on efficacy. J Med Internet Res. 2013;15(12):e282.CrossRefPubMedPubMedCentral
15.
go back to reference Yates T, Griffin S, Bodicoat DH, Brierly G, Dallosso H, Davies MJ, et al. Promotion of physical activity through structured education with differing levels of ongoing support for people at high risk of type 2 diabetes (PROPELS): study protocol for a randomized controlled trial. Trials. 2015;16:289.CrossRefPubMedPubMedCentral Yates T, Griffin S, Bodicoat DH, Brierly G, Dallosso H, Davies MJ, et al. Promotion of physical activity through structured education with differing levels of ongoing support for people at high risk of type 2 diabetes (PROPELS): study protocol for a randomized controlled trial. Trials. 2015;16:289.CrossRefPubMedPubMedCentral
16.
go back to reference Bin Abbas B, Al Fares A, Jabbari M, El Dali A, Al OF. Effect of mobile phone short text messages on glycemic control in type 2 diabetes. International journal of endocrinology and metabolism. 2015;13(1):e18791.PubMedPubMedCentral Bin Abbas B, Al Fares A, Jabbari M, El Dali A, Al OF. Effect of mobile phone short text messages on glycemic control in type 2 diabetes. International journal of endocrinology and metabolism. 2015;13(1):e18791.PubMedPubMedCentral
17.
go back to reference de Jongh T, Gurol-Urganci I, Vodopivec-Jamsek V, Car J, Atun R. Mobile phone messaging for facilitating self-management of long-term illnesses. Cochrane Database Syst Rev. 2012;12:CD007459.PubMed de Jongh T, Gurol-Urganci I, Vodopivec-Jamsek V, Car J, Atun R. Mobile phone messaging for facilitating self-management of long-term illnesses. Cochrane Database Syst Rev. 2012;12:CD007459.PubMed
18.
go back to reference Hamine S, Gerth-Guyette E, Faulx D, Green BB, Ginsburg AS. Impact of mHealth chronic disease management on treatment adherence and patient outcomes: a systematic review. J Med Internet Res. 2015;17(2):e52.CrossRefPubMedPubMedCentral Hamine S, Gerth-Guyette E, Faulx D, Green BB, Ginsburg AS. Impact of mHealth chronic disease management on treatment adherence and patient outcomes: a systematic review. J Med Internet Res. 2015;17(2):e52.CrossRefPubMedPubMedCentral
19.
go back to reference Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, et al. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013;46(1):81–95.CrossRefPubMed Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, et al. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013;46(1):81–95.CrossRefPubMed
20.
go back to reference Hadjiconstantinou M, Byrne J, Bodicoat HD, Robertson N, Eborall H, Khunti K, et al. Do web-based interventions improve well-being in type 2 diabetes? A systematic review and meta-analysis. J Med Internet Res. 2016;18(10):e270.CrossRefPubMedPubMedCentral Hadjiconstantinou M, Byrne J, Bodicoat HD, Robertson N, Eborall H, Khunti K, et al. Do web-based interventions improve well-being in type 2 diabetes? A systematic review and meta-analysis. J Med Internet Res. 2016;18(10):e270.CrossRefPubMedPubMedCentral
21.
go back to reference Avery L, Flynn D, Dombrowski SU, van Wersch A, Sniehotta FF, Trenell MI. Successful behavioural strategies to increase physical activity and improve glucose control in adults with type 2 diabetes. Diabet Med. 2015;32(8):1058–62.CrossRefPubMed Avery L, Flynn D, Dombrowski SU, van Wersch A, Sniehotta FF, Trenell MI. Successful behavioural strategies to increase physical activity and improve glucose control in adults with type 2 diabetes. Diabet Med. 2015;32(8):1058–62.CrossRefPubMed
22.
go back to reference van Vugt M, de Wit M, Cleijne WH, Snoek FJ. Use of behavioral change techniques in web-based self-management programs for type 2 diabetes patients: systematic review. J Med Internet Res. 2013;15(12):e279.CrossRefPubMedPubMedCentral van Vugt M, de Wit M, Cleijne WH, Snoek FJ. Use of behavioral change techniques in web-based self-management programs for type 2 diabetes patients: systematic review. J Med Internet Res. 2013;15(12):e279.CrossRefPubMedPubMedCentral
23.
go back to reference Kebede MM, Liedtke TP, Möllers T, P. CR. Characterizing active ingredients of eHealth interventions targeting persons with poorly controlled type 2 diabetes mellitus using the behavioral change technique taxonomy. J Med Internet Res. 2017;19(10):e348.CrossRefPubMed Kebede MM, Liedtke TP, Möllers T, P. CR. Characterizing active ingredients of eHealth interventions targeting persons with poorly controlled type 2 diabetes mellitus using the behavioral change technique taxonomy. J Med Internet Res. 2017;19(10):e348.CrossRefPubMed
24.
go back to reference Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4:1.CrossRefPubMedPubMedCentral Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4:1.CrossRefPubMedPubMedCentral
25.
go back to reference Hawkins RP, Kreuter M, Resnicow K, Fishbein M, Dijkstra A. Understanding tailoring in communicating about health. Health Educ Res. 2008;23(3):454–66.CrossRefPubMedPubMedCentral Hawkins RP, Kreuter M, Resnicow K, Fishbein M, Dijkstra A. Understanding tailoring in communicating about health. Health Educ Res. 2008;23(3):454–66.CrossRefPubMedPubMedCentral
26.
go back to reference Thomson R. ISI Research-Soft EndNote x5 Thomson Reueters, 2011. Thomson R. ISI Research-Soft EndNote x5 Thomson Reueters, 2011.
28.
go back to reference Department CIKM. Cochrane collaboration Review Manager Version 5.3 Chocrane Collaboration; 2014. Department CIKM. Cochrane collaboration Review Manager Version 5.3 Chocrane Collaboration; 2014.
29.
go back to reference Popay J., Roberts H., Sowden A., Petticrew M., Arai L., Rodgers M., et al. Guidance on the conduct of narrative synthesis in systematic reviews: a product from ESRC methods Programme.2006. Popay J., Roberts H., Sowden A., Petticrew M., Arai L., Rodgers M., et al. Guidance on the conduct of narrative synthesis in systematic reviews: a product from ESRC methods Programme.2006.
30.
go back to reference Michael B, Hedges LV, Higgins JPT, Rothstein HR. Introduction to meta-analysis. Hoboken: John Wiley & Sons, Ltd; ©; 2009. Michael B, Hedges LV, Higgins JPT, Rothstein HR. Introduction to meta-analysis. Hoboken: John Wiley & Sons, Ltd; ©; 2009.
31.
go back to reference Balshem H, Helfand M, Schunemann HJ, Oxman AD, Kunz R, Brozek J, et al. GRADE guidelines: 3. Rating the quality of evidence. J Clin Epidemiol. 2011;64(4):401–6.CrossRefPubMed Balshem H, Helfand M, Schunemann HJ, Oxman AD, Kunz R, Brozek J, et al. GRADE guidelines: 3. Rating the quality of evidence. J Clin Epidemiol. 2011;64(4):401–6.CrossRefPubMed
32.
go back to reference Guyatt GH, Oxman AD, Vist GE, Kunz R, Falck-Ytter Y, Alonso-Coello P, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ. 2008;336(7650):924–6.CrossRefPubMedPubMedCentral Guyatt GH, Oxman AD, Vist GE, Kunz R, Falck-Ytter Y, Alonso-Coello P, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ. 2008;336(7650):924–6.CrossRefPubMedPubMedCentral
33.
go back to reference Piette JD. Interactive behavior change technology to support diabetes self-management: where do we stand? Diabetes Care. 2007;30(10):2425–32.CrossRefPubMed Piette JD. Interactive behavior change technology to support diabetes self-management: where do we stand? Diabetes Care. 2007;30(10):2425–32.CrossRefPubMed
34.
go back to reference Connelly J, Kirk A, Masthoff J, MacRury S. The use of technology to promote physical activity in type 2 diabetes management: a systematic review. Diabetic medicine : a journal of the British Diabetic Association. 2013;30(12):1420–32.CrossRef Connelly J, Kirk A, Masthoff J, MacRury S. The use of technology to promote physical activity in type 2 diabetes management: a systematic review. Diabetic medicine : a journal of the British Diabetic Association. 2013;30(12):1420–32.CrossRef
35.
go back to reference Su D, McBride C, Zhou J, Kelley MS. Does nutritional counseling in telemedicine improve treatment outcomes for diabetes? A systematic review and meta-analysis of results from 92 studies. J Telemed Telecare. 2016;22(6):333–47.CrossRefPubMed Su D, McBride C, Zhou J, Kelley MS. Does nutritional counseling in telemedicine improve treatment outcomes for diabetes? A systematic review and meta-analysis of results from 92 studies. J Telemed Telecare. 2016;22(6):333–47.CrossRefPubMed
36.
go back to reference Cotter AP, Durant N, Agne AA, Cherrington AL. Internet interventions to support lifestyle modification for diabetes management: a systematic review of the evidence. J Diabetes Complicat. 2014;28(2):243–51.CrossRefPubMed Cotter AP, Durant N, Agne AA, Cherrington AL. Internet interventions to support lifestyle modification for diabetes management: a systematic review of the evidence. J Diabetes Complicat. 2014;28(2):243–51.CrossRefPubMed
Metadata
Title
Effectiveness of behavioral change techniques employed in eHealth interventions designed to improve glycemic control in persons with poorly controlled type 2 diabetes: a systematic review and meta-analysis protocol
Authors
Mihiretu Kebede
Lara Christianson
Zohaib Khan
Thomas L. Heise
Claudia R. Pischke
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Systematic Reviews / Issue 1/2017
Electronic ISSN: 2046-4053
DOI
https://doi.org/10.1186/s13643-017-0609-1

Other articles of this Issue 1/2017

Systematic Reviews 1/2017 Go to the issue