Mobile phone intervention for increasing adherence to treatment for type 2 diabetes in an urban area of Bangladesh: protocol for a randomized controlled trial

Sheikh Mohammed Shariful Islam, Andreas Lechner, Uta Ferrari, Guenter Froeschl, Dewan Shamsul Alam, Rolf Holle, Jochen Seissler, Louis W Niessen, Sheikh Mohammed Shariful Islam, Andreas Lechner, Uta Ferrari, Guenter Froeschl, Dewan Shamsul Alam, Rolf Holle, Jochen Seissler, Louis W Niessen

Abstract

Background: Mobile phone technologies including SMS (short message service) have been used to improve the delivery of health services in many countries. However, data on the effects of mobile health technology on patient outcomes in resource-limited settings are limited. The aim of this study therefore is to measure the impact of a mobile phone SMS service on treatment success of newly diagnosed type 2 diabetes in an urban area of Bangladesh.

Methods/design: This is a single-centred randomized controlled intervention trial (prospective) comparing standard-of-care with standard-of-care plus a mobile phone-based SMS intervention for 6 months. A total of 216 participants with newly diagnosed type 2 diabetes will be recruited. Data will be collected at the outpatient department of Bangladesh Institute of Health Science (BIHS) hospital at baseline and after 6 months. The primary outcome measure will be change in HbA1c between baseline and 6 months. The secondary outcome measures are self-reported medication adherence, clinic attendance, self-reported adoption of healthy behaviours, diabetes knowledge, quality of life and cost effectiveness of the SMS intervention. The inclusion criteria will be as follows: diagnosed as patients with type 2 diabetes by the BIHS physician, using oral medication therapy, living in Dhaka city, registered with the BIHS hospital, using a mobile phone, willing to return for follow up after 6 months and providing written informed consent. Participants will be allocated to control and intervention arms after recruitment using a randomization software. Data will be collected on socio-demographic and economic information, mobile phone use and habits, knowledge of prevention, management and complications of diabetes, self-perceived quality of life assessment, self-reported diseases, medical history, family history of diseases, medication history, medication adherence, health seeking behaviour, tobacco use, physical activity, diet, mental health status, life events and disability, anthropometric measurements of weight, height, blood pressure and blood tests for HbA1c.

Discussion: Mobile phone SMS services have the potential to communicate with diabetes patients and to build awareness about the disease, improve self-management and avoid complications also in resource-limited setting. If this intervention proves to be efficient and cost-effective in the current trial, large-scale implementation could be undertaken.

Trial registration: DRKS00005188 .

Figures

Figure 1
Figure 1
Flow chart. Flow chart of study participants in the trial.

References

    1. Mathers CD, Loncar D. Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med. 2006;3(11):e442. doi: 10.1371/journal.pmed.0030442.
    1. International Diabetes Federation: IDF Diabetes Atlas 2012. 5th edition. IDF; 2012.
    1. Hussain A, Rahim MA, Azad Khan AK, Ali SMK, Vaaler S. Type 2 diabetes in rural and urban population: diverse prevalence and associated risk factors in Bangladesh. Diabet Med. 2005;22(7):931–936. doi: 10.1111/j.1464-5491.2005.01558.x.
    1. Bailey C, Kodack M. Patient adherence to medication requirements for therapy of type 2 diabetes. Int J Clin Pract. 2011;65(3):314–322. doi: 10.1111/j.1742-1241.2010.02544.x.
    1. Sabaté E. Adherence to Long-Term Therapies: Evidence for Action. Geneva: World Health Organization; 2003.
    1. Lau DT, Nau DP. Oral antihyperglycemic medication nonadherence and subsequent hospitalization among individuals with type 2 diabetes. Diabetes Care. 2004;27(9):2149–2153. doi: 10.2337/diacare.27.9.2149.
    1. Simpson SH, Eurich DT, Majumdar SR, Padwal RS, Tsuyuki RT, Varney J, Johnson JA. A meta-analysis of the association between adherence to drug therapy and mortality. BMJ. 2006;333(7557):15. doi: 10.1136/bmj.38875.675486.55.
    1. Saleh F, Mumu SJ, Ara F, Begum HA, Ali L. Knowledge and self-care practices regarding diabetes among newly diagnosed type 2 diabetics in Bangladesh: a cross-sectional study. BMC Public Health. 2012;12(1):1112. doi: 10.1186/1471-2458-12-1112.
    1. Free C, Phillips G, Felix L, Galli L, Patel V, Edwards P. The effectiveness of M-health technologies for improving health and health services: a systematic review protocol. BMC Res Notes. 2010;3(1):250. doi: 10.1186/1756-0500-3-250.
    1. Vervloet M, Linn AJ, van Weert JCM, de Bakker DH, Bouvy ML, van Dijk L. The effectiveness of interventions using electronic reminders to improve adherence to chronic medication: a systematic review of the literature. J Am Med Inform Assoc. 2012;19(5):696–704. doi: 10.1136/amiajnl-2011-000748.
    1. Kim HS, Jeong HS. A nurse short message service by cellular phone in type-2 diabetic patients for six months. J Clin Nurs. 2007;16(6):1082–1087. doi: 10.1111/j.1365-2702.2007.01698.x.
    1. Deglise C, Suggs LS, Odermatt P. Short message service (SMS) applications for disease prevention in developing countries. J Med Internet Res. 2012;14:e3. doi: 10.2196/jmir.1823.
    1. Cole-Lewis H, Kershaw T. Text messaging as a tool for behavior change in disease prevention and management. Epidemiol Rev. 2010;32(1):56–69. doi: 10.1093/epirev/mxq004.
    1. Horvath T, Azman H, Kennedy GE, Rutherford GW. Mobile phone text messaging for promoting adherence to antiretroviral therapy in patients with HIV infection. Cochrane Database Syst Rev. 2012;3:Cd009756.
    1. Schweizer A, Couturier A, Foley J, Dejager S. Comparison between vildagliptin and metformin to sustain reductions in HbA1c over 1 year in drug‐naïve patients with Type 2 diabetes. Diabet Med. 2007;24(9):955–961. doi: 10.1111/j.1464-5491.2007.02191.x.
    1. Pal K, Eastwood SV, Michie S, Farmer AJ, Barnard ML, Peacock R, Wood B, Inniss JD, Murray E. Computer-based diabetes self-management interventions for adults with type 2 diabetes mellitus. Cochrane Database Syst Rev. 2013;3:Cd008776.
    1. Leventhal H, Cameron L. Behavioral theories and the problem of compliance. Patient Educ Couns. 1987;10(2):117–138. doi: 10.1016/0738-3991(87)90093-0.
    1. Tuah NA, Amiel C, Qureshi S, Car J, Kaur B, Majeed A. Transtheoretical model for dietary and physical exercise modification in weight loss management for overweight and obese adults. Cochrane Database Syst Rev. 2011;10:Cd008066.
    1. Johnson SS, Paiva AL, Cummins CO, Johnson JL, Dyment SJ, Wright JA, Prochaska JO, Prochaska JM, Sherman K. Transtheoretical model-based multiple behavior intervention for weight management: effectiveness on a population basis. Prev Med. 2008;46(3):238–246. doi: 10.1016/j.ypmed.2007.09.010.
    1. Lauer J, Rohrich K, Wirth H, Charette C, Gribble S, Murray C. PopMod: a longitudinal population model with two interacting disease states. Cost Effectiveness Res Allocation. 2003;1(1):6. doi: 10.1186/1478-7547-1-6.
    1. Vervloet M, van Dijk L, Santen-Reestman J, Van Vlijmen B, Van Wingerden P, Bouvy ML, de Bakker DH. SMS reminders improve adherence to oral medication in type 2 diabetes patients who are real time electronically monitored. Int J Med Inform. 2012;81(9):594–604. doi: 10.1016/j.ijmedinf.2012.05.005.
    1. de Tolly K, Benjamin P. The Handbook of Global Health Communication. UK: Wiley-Blackwell; 2012. Mobile Phones; pp. 309–329.

Source: PubMed

3
Abonnieren