Effectiveness of ICT interventions for Diabetes: A Systematic Overview (protocol)

Auteurs-es

  • Cheick Oumar Bagayoko Faculté de Médecine de BamakoService Cybersanté et Télémédecine, HUG, Genève ,
  • Abdrahamane Anne Faculté de Médecine et d'Odonto-Stomatologie de Bamako ,
  • Marie-Pierre Gagnon Faculté des Sciences Infirmières, Université Laval, Quebec ,
  • Antoine Geissbuhler Faculté de médecine, Université de Genève ,

DOI :

https://doi.org/10.12856/JHIA-2018-v5-i1-133

Résumé

Background and Purpose: The use of Information and Communication Technologies (ICT) in fighting diabetes is particularly booming in recent years. Previous studies showed to varying degrees the impact that these technologies can have in the prevention and management of diabetes.

The main objective of this overview of systematic reviews is to systematically summarize the best evidence on ICT interventions that can significantly improve one or more indicators of diabetes

Methods: We will include all type of reviews that aim to evaluate the effect of ICTs on diabetes indicators. We will consider all types of ICT applications, including: mobile health, teleconsultations, tele-expertise, electronic health records, decision support systems, elearning etc. Key comparisons will be: ICT intervention for the management of diabetes versus no intervention; ICT intervention compared to the usual management of diabetes; ICT for the management of diabetes compared to other non-ICT interventions; ICT intervention versus another ICT intervention for the management of diabetes. We will include systematic reviews published in English and French during the past 25 years, i.e. between January 1991 and March 2015. Reviews will be limited to those on human subject only. Two reviewers will screen independently the title and abstract of the papers in order to assess their eligibility, and extract relevant information based on a predetermined grid.

Any disagreements will be resolved first by discussion and consensus between the two reviewers, or will imply a third author as arbitrator.

Results: Outcomes of interest will be clinical indicators of diabetes that could be influenced by ICT interventions. These will be the main non-exhaustive and objectively measurable indicators related to the monitoring and the management of diabetes and which are generally accepted by diabetes experts

Conclusion: Based on concrete interventions that have demonstrated scientific evidence, this overview could help identify the most effective ICT interventions for improving diabetes indicators.

Téléchargements

Les données de téléchargement ne sont pas encore disponible.

Références

WHO:Global Status Report on Noncommunicable diseases. 2014.Geneva, World Health Organization, 2012.

WHO Estimates: Global Health Deaths by Cause, Age, Sex and Country, 2000-2012.Geneva, WHO, 2014

Mathers CD, Loncar D : Projections of global mortality and burden of disease from 2002 to 2030(11). PLoS Med. 2006, 3 E442.

Or CK L, Da T : Does the use of consumer health information technology Improve patient outcomes in the self-management of diabetes? A meta-analysis and narrative review of randomized controlled trials. International Journal of Medical Informatics. 83 (2014) 320-329

Marcolino MS, JX Maia, Moreira Alkmim MB, Boersma E, Ribeiro L: Telemedicine Application in the Care of Diabetes Patients. Systematic Review and Meta-Analysis PloS ONE, 2013, 8 (11).e79246

Health Quality : Home Telemonitoring for Type 2 Diabetes. Ontario. Technol Assess Health Have Ser. 2009; 9 (24): 1-38.

Verhoeven F, Tania-Dijkstra K, N Nijland, Eysenbach G, Gemert-Pijnen: Asynchronous and Synchronous Teleconsult for Diabetes Care. A systematicLiterature Diabetes Sci TechnolReview.2010 May; 4 (3): 666-684

Zhai YK, WJ Zhu, Cai YL, Sun DX, Zhao J: Clinical - and cost-effectiveness of telemedicine in type 2 diabetes millitus: a systematic review and meta-analysis(28).: Medicine(Baltimore)2014 December; 93 e312.doi: 10.1097 /MD.0000000000000312.

Moher D, Tetzlaff J, Tricco AC, Sampson M, Altman DG : Epidemiology and reporting

characteristics of systematic reviews. PLoS Med 2007, 4:447-455.

Black AD, et al:The impact of eHealth on the Quality and Safety of Health Care. A Systematic Overview PLoS Med 2011; 8 (1): e1000387.

Stevention A, Bardsley M, Doll H, E Tuckey, Neman SP: Effect of telehealth on glycemic control: analysis of patients with type 2 diabetes in the Whole Systems Demonstrator cluster randomized trial14. BMC Health Services Research 2014, 334

Suksomboon N, N Poolsup, Nge Lay Y: Impact of Intervention Phone call on Glycemic Control in Diabetes Patients : A Systematic Review and Meta-Analysis of Randomized, Controlled Trials. PLoS ONE, 2014, 9 (2): e89207.

Glasgow, RE, et al: Twelve-month outcomes of an Internet-based diabetes self-management program Support14. Patient Education and Counseling 87 (2012) 81-92

Lau M, Campbell H, Tang T, D Thomson JS, Elliott T: Impact of Patient Use of an Online Patient Portal on Diabetes Outcoumes15.Can J Diabetes 38 (2014) 17-21

Homko CJ et al: Impact of a Telemedicine System with Automatics Reminders on Outcomes in Women with Gestational Diabetes Mellitus. Diabetes Technology and Therapeutics, 2012 Vol14, No. 7: 624-629

Quinn CC et al : Mobile Diabetes Intervention study Testing a personalized treatment / behavioural communication blood response for glucosecontrol. Contemporay Clinical Trials 30 (2009) 334-346.

. Parmar P Mackie D Verghese S, Cooper C: Use of Telemedicine Technologies in the Management of Infectious Diseases. A Review Clinical Practice. CID. 2014: 1-10. doi: 10.1093 / cid / ciu 1143

Aikens JE, Zivin K, Trivedi R, Piette JD: Diabetes salt-management and enhanced backup using mHealth informal caregiving.. Journal of Diabetes and Its Complications 28 (2014) 171-176

Ranney LM Suffoletto B: Extending Our Use of mHealth to Support Patients After Emergency CareReach. Annals of Emergency Medicine, 2014, Vol 63, No. 6: 755-75

Sieverdes JC, Treiber F, Jenkins C: Improving Diabetes Management With Mobile Health Technology. The American Journal of the Medical Sciences, 2013, Vol 345, No. 4: 289-295

Higgins J, Green S: Cochrane Handbook for Systematic Reviews of Interventions. Version 5.1.0 (updated March 2011) edition. (Higgins J, Green Seds.).London: The Cochrane Collaboration; 2011

Mair F, May C, Murray E, Finch T, Anderson G, O'Donnell C, Wallace P, F: Understanding the Implementation and Integration of e-Health Report Services. Project Sullivan. National Coordinating Centre for the Service Delivery and Organisation Programme (NCCSDO); 2009.

Cotter PA, Durant N, Agne AA Cherrington AL: Internet interventions to supporting lifestyle modification for diabetes management: As systematic review of evidence. Journal of Diabetes and Its Complications 28 (2014) 243-251

Smith V, Devane D, Begley C, Clarke M : Methodology in Conducting a systematic review of systematic reviews of healthcare interventions. BMC Medical Research Methodology,2011, 11:15

Becker L, Oxman A : Chapter 22,Overviews of reviews Collaboration.. In Cochrane Handbook for Systematics Reviews of Interventions Version 510 (updated March 2011) edition Edited by Higgins J, Green S. London: The Cochrane 2011

Shea B, Grimshaw J, Wells G, Boers M, Andersson N, C Hamel, Carrying A, Tugwell P, Moher D, Kick L: Development of AMSTAR. A measurement tool for Assessment to the Methodological quality of systematic reviews. BMC Medical Research Methodology 2007, 7:27

Shea BJ, Hamel C, Wells GA, Bouter LM, Kristjansson E, Grimshaw J, Henry DA, Boers M: AMSTAR is a reliable and valid measurement tool for Assessment to the Methodological quality of systematic reviews. Journal of Clinical Epidemiology,2009, 1013 -1020JM

Weir M, Ryan R, Mayhew A, Worswick J, Santesso N, Lowe D, Leslie B, Stevens A, Hill S, Grimshaw :The Rx for Change database: a first-in-class tool for optimal prescribing and medicines uses. Implementation Science 2010, 89

Grimshaw J, Thomas R, MacLennan G, Fraser C, Ramsay C, Vale L, al : Effectiveness and efficiency of guideline dissemination and implementation strategiesHealth Technology Assessment,2004, 8:iii-iv, 1-72

GRADE Working Group: Grading quality of evidence and strength of recommendations328. British Medical Journal,2004, 1490- 1494

Schünemann H, Oxman A, Higgins J, Vist G, Glasziou P, Guyatt G H : Presenting results and 'Summary of findings' tables. In Cochrane Handbook for Systematic Reviews of Interventions Version 510 [updated March 2011] (Higgins J, Green S eds .). Oxford: The Cochrane Collaboration; 2011

Worswick J, SC Wayne Bennett R, Fiander M, Mayhew A, Weir ™, KJ Sullivan, Grimshaw JM: Improving quality of care for persons with diabetes: an overview of systematic reviews - what does the evidence tell us. Systematic?reviews, 2013, 2:26

Ball MJ, Lillis J : E-health: transforming the physician / patient relationship. International Journal of Medical Informatics 61 (2001) 1-10

El-Gayar O, P Timsina, Nawar N, Eid W: A systematic review of IT for diabetes self-management : Are we there yet ?. International Journal of Medical Informatics. 2013; 82 (8) : 637-52.

Téléchargements

Publié

2018-10-17

Numéro

Rubrique

Article de Recherche

Comment citer

Effectiveness of ICT interventions for Diabetes: A Systematic Overview (protocol). (2018). Journal of Health Informatics in Africa, 5(1), 1-7. https://doi.org/10.12856/JHIA-2018-v5-i1-133

Articles les plus lus du,de la,des même-s auteur-e-s