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Published in: Trials 1/2016

Open Access 01-12-2016 | Study protocol

The effect of community groups and mobile phone messages on the prevention and control of diabetes in rural Bangladesh: study protocol for a three-arm cluster randomised controlled trial

Authors: Edward Fottrell, Hannah Jennings, Abdul Kuddus, Naveed Ahmed, Joanna Morrison, Kohenour Akter, Sanjit Kumar Shaha, Badrun Nahar, Tasmin Nahar, Hassan Haghparast-Bidgoli, A. K. Azad Khan, Anthony Costello, Kishwar Azad

Published in: Trials | Issue 1/2016

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Abstract

Background

Increasing rates of type 2 diabetes mellitus place a substantial burden on health care services, communities, families and individuals living with the disease or at risk of developing it. Estimates of the combined prevalence of intermediate hyperglycaemia and diabetes in Bangladesh vary, and can be as high as 30% of the adult population. Despite such high prevalence, awareness and control of diabetes and its risk factors are limited. Prevention and control of diabetes and its complications demand increased awareness and action of individuals and communities, with positive influences on behaviours and lifestyle choices. In this study, we will test the effect of two different interventions on diabetes occurrence and its risk factors in rural Bangladesh.

Methods/design

A three-arm cluster randomised controlled trial of mobile health (mHealth) and participatory community group interventions will be conducted in four rural upazillas in Faridpur District, Bangladesh. Ninety-six clusters (villages) will be randomised to receive either the mHealth intervention or the participatory community group intervention, or be assigned to the control arm. In the mHealth arm, enrolled individuals will receive twice-weekly voice messages sent to their mobile phone about prevention and control of diabetes. In the participatory community group arm, facilitators will initiate a series of monthly group meetings for men and women, progressing through a Participatory Learning and Action cycle whereby group members and communities identify, prioritise and tackle problems associated with diabetes and the risk of developing diabetes. Both interventions will run for 18 months. The primary outcomes of the combined prevalence of intermediate hyperglycaemia and diabetes and the cumulative 2-year incidence of diabetes among individuals identified as having intermediate hyperglycaemia at baseline will be evaluated through baseline and endline sample surveys of permanent residents aged 30 years or older in each of the study clusters. Data on blood glucose level, blood pressure, body mass index and hip-to-waist ratio will be gathered through physical measurements by trained fieldworkers. Demographic and socioeconomic data, as well as data on knowledge of diabetes, chronic disease risk factor prevalence and quality of life, will be gathered through interviews with sampled respondents.

Discussion

This study will increase our understanding of diabetes and other non-communicable disease burdens and risk factors in rural Bangladesh. By documenting and evaluating the delivery, impact and cost-effectiveness of participatory community groups and mobile phone voice messaging, study findings will provide evidence on how population-level strategies of community mobilisation and mHealth can be implemented to prevent and control noncommunicable diseases and risk factors in this population.

Trial registration

ISRCTN41083256. Registered on 30 Mar 2016 (Retrospectively Registered).

Trial acronym

D-Magic: Diabetes Mellitus – Action through Groups or mobile Information for better Control.
Footnotes
1
We use the term intermediate hyperglycaemia to represent measures of glucose that are categorised as impaired fasting glucose or impaired glucose tolerance according to the WHO definitions outlined in Table 2.
 
Literature
1.
go back to reference International Diabetes Federation (IDF). IDF diabetes atlas. 7th ed. Brussels: IDF; 2015. International Diabetes Federation (IDF). IDF diabetes atlas. 7th ed. Brussels: IDF; 2015.
2.
go back to reference International Diabetes Federation (IDF). Global guideline for type 2 diabetes. Brussels: IDF; 2012. International Diabetes Federation (IDF). Global guideline for type 2 diabetes. Brussels: IDF; 2012.
3.
go back to reference National Institute of Population Research and Training (NIPORT). Mitra and Associates, MEASURE DHS/ICF International. Bangladesh demographic and health survey 2011. Calverton: MEASURE DHS/ICF International; 2013. National Institute of Population Research and Training (NIPORT). Mitra and Associates, MEASURE DHS/ICF International. Bangladesh demographic and health survey 2011. Calverton: MEASURE DHS/ICF International; 2013.
4.
go back to reference Akter S, Rahman MM, Abe SK, Sultana P. Prevalence of diabetes and prediabetes and their risk factors among Bangladeshi adults: a nationwide survey. Bull World Health Organ. 2014;92(3):204–13A.CrossRefPubMedPubMedCentral Akter S, Rahman MM, Abe SK, Sultana P. Prevalence of diabetes and prediabetes and their risk factors among Bangladeshi adults: a nationwide survey. Bull World Health Organ. 2014;92(3):204–13A.CrossRefPubMedPubMedCentral
5.
go back to reference Bhowmik B, Afsana F, My Diep L, Binte Munir S, Wright E, Mahmood S, et al. Increasing prevalence of type 2 diabetes in a rural Bangladeshi population: a population based study for 10 years. Diabetes Metab J. 2013;37(1):46–53.CrossRefPubMedPubMedCentral Bhowmik B, Afsana F, My Diep L, Binte Munir S, Wright E, Mahmood S, et al. Increasing prevalence of type 2 diabetes in a rural Bangladeshi population: a population based study for 10 years. Diabetes Metab J. 2013;37(1):46–53.CrossRefPubMedPubMedCentral
6.
go back to reference Bhowmik B, Binte Munir S, Ara Hossain I, Siddiquee T, Diep LM, Mahmood S, et al. Prevalence of type 2 diabetes and impaired glucose regulation with associated cardiometabolic risk factors and depression in an urbanizing rural community in Bangladesh: a population-based cross-sectional study. Diabetes Metab J. 2012;36(6):422–32.CrossRefPubMedPubMedCentral Bhowmik B, Binte Munir S, Ara Hossain I, Siddiquee T, Diep LM, Mahmood S, et al. Prevalence of type 2 diabetes and impaired glucose regulation with associated cardiometabolic risk factors and depression in an urbanizing rural community in Bangladesh: a population-based cross-sectional study. Diabetes Metab J. 2012;36(6):422–32.CrossRefPubMedPubMedCentral
7.
go back to reference Sayeed MA, Mahtab H, Akter Khanam P, Abdul Latif Z, Keramat Ali SM, et al. Diabetes and impaired fasting glycemia in a rural population of Bangladesh. Diabetes Care. 2003;26(4):1034–9.CrossRefPubMed Sayeed MA, Mahtab H, Akter Khanam P, Abdul Latif Z, Keramat Ali SM, et al. Diabetes and impaired fasting glycemia in a rural population of Bangladesh. Diabetes Care. 2003;26(4):1034–9.CrossRefPubMed
8.
go back to reference Asghar S, Khan AK, Ali SM, Sayeed MA, Bhowmik B, Diep ML, et al. Incidence of diabetes in Asian-Indian subjects: a five year follow-up study from Bangladesh. Prim Care Diabetes. 2011;5(2):117–24.CrossRefPubMed Asghar S, Khan AK, Ali SM, Sayeed MA, Bhowmik B, Diep ML, et al. Incidence of diabetes in Asian-Indian subjects: a five year follow-up study from Bangladesh. Prim Care Diabetes. 2011;5(2):117–24.CrossRefPubMed
9.
go back to reference Saquib N, Saquib J, Ahmed T, Khanam MA, Cullen MR. Cardiovascular diseases and type 2 diabetes in Bangladesh: a systematic review and meta-analysis of studies between 1995 and 2010. BMC Public Health. 2012;12:434.CrossRefPubMedPubMedCentral Saquib N, Saquib J, Ahmed T, Khanam MA, Cullen MR. Cardiovascular diseases and type 2 diabetes in Bangladesh: a systematic review and meta-analysis of studies between 1995 and 2010. BMC Public Health. 2012;12:434.CrossRefPubMedPubMedCentral
10.
go back to reference Islam FM, Chakrabarti R, Islam MT, Wahab M, Lamoureux E, Finger RP, et al. Prediabetes, diagnosed and undiagnosed diabetes, their risk factors and association with knowledge of diabetes in rural Bangladesh: the Bangladesh Population-based Diabetes and Eye Study. J Diabetes. 2016;8(2):260–8.CrossRefPubMed Islam FM, Chakrabarti R, Islam MT, Wahab M, Lamoureux E, Finger RP, et al. Prediabetes, diagnosed and undiagnosed diabetes, their risk factors and association with knowledge of diabetes in rural Bangladesh: the Bangladesh Population-based Diabetes and Eye Study. J Diabetes. 2016;8(2):260–8.CrossRefPubMed
11.
go back to reference Rahman MS, Akter S, Abe SK, Islam MR, Mondal MN, Rahman JA, et al. Awareness, treatment, and control of diabetes in Bangladesh: a nationwide population-based study. PLoS One. 2015;10(2):e0118365.CrossRefPubMedPubMedCentral Rahman MS, Akter S, Abe SK, Islam MR, Mondal MN, Rahman JA, et al. Awareness, treatment, and control of diabetes in Bangladesh: a nationwide population-based study. PLoS One. 2015;10(2):e0118365.CrossRefPubMedPubMedCentral
12.
go back to reference Islam FM, Chakrabarti R, Dirani M, Islam MT, Ormsby G, Wahab M, et al. Knowledge, attitudes and practice of diabetes in rural Bangladesh: the Bangladesh Population based Diabetes and Eye Study (BPDES). PLoS One. 2014;9(10):e110368.CrossRefPubMedPubMedCentral Islam FM, Chakrabarti R, Dirani M, Islam MT, Ormsby G, Wahab M, et al. Knowledge, attitudes and practice of diabetes in rural Bangladesh: the Bangladesh Population based Diabetes and Eye Study (BPDES). PLoS One. 2014;9(10):e110368.CrossRefPubMedPubMedCentral
13.
go back to reference Rawal LB, Tapp RJ, Williams ED, Chan C, Yasin S, Oldenburg B. Prevention of type 2 diabetes and its complications in developing countries: a review. Int J Behav Med. 2012;19(2):121–33.CrossRefPubMed Rawal LB, Tapp RJ, Williams ED, Chan C, Yasin S, Oldenburg B. Prevention of type 2 diabetes and its complications in developing countries: a review. Int J Behav Med. 2012;19(2):121–33.CrossRefPubMed
14.
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
15.
go back to reference Shaw R, Bosworth H. Short message service (SMS) text messaging as an intervention medium for weight loss: a literature review. Health Informatics J. 2012;18(4):235–50.CrossRefPubMedPubMedCentral Shaw R, Bosworth H. Short message service (SMS) text messaging as an intervention medium for weight loss: a literature review. Health Informatics J. 2012;18(4):235–50.CrossRefPubMedPubMedCentral
16.
go back to reference Gurman TA, Rubin SE, Roess AA. Effectiveness of mHealth behavior change communication interventions in developing countries: a systematic review of the literature. J Health Commun. 2012;17 Suppl 1:82–104.CrossRefPubMed Gurman TA, Rubin SE, Roess AA. Effectiveness of mHealth behavior change communication interventions in developing countries: a systematic review of the literature. J Health Commun. 2012;17 Suppl 1:82–104.CrossRefPubMed
17.
go back to reference Hall CS, Fottrell E, Wilkinson S, Byass P. Assessing the impact of mHealth interventions in low- and middle-income countries – what has been shown to work? Glob Health Action. 2014;7:25606.CrossRefPubMed Hall CS, Fottrell E, Wilkinson S, Byass P. Assessing the impact of mHealth interventions in low- and middle-income countries – what has been shown to work? Glob Health Action. 2014;7:25606.CrossRefPubMed
18.
go back to reference Shetty AS, Chamukuttan S, Nanditha A, Raj RK, Ramachandran A. Reinforcement of adherence to prescription recommendations in Asian Indian diabetes patients using short message service (SMS) – a pilot study. J Assoc Physicians India. 2011;59:711–4.PubMed Shetty AS, Chamukuttan S, Nanditha A, Raj RK, Ramachandran A. Reinforcement of adherence to prescription recommendations in Asian Indian diabetes patients using short message service (SMS) – a pilot study. J Assoc Physicians India. 2011;59:711–4.PubMed
19.
go back to reference Ramachandran A, Snehalatha C, Ram J, Selvam S, Simon M, Nanditha A, et al. Effectiveness of mobile phone messaging in prevention of type 2 diabetes by lifestyle modification in men in India: a prospective, parallel-group, randomised controlled trial. Lancet Diabetes Endocrinol. 2013;1(3):191–8.CrossRefPubMed Ramachandran A, Snehalatha C, Ram J, Selvam S, Simon M, Nanditha A, et al. Effectiveness of mobile phone messaging in prevention of type 2 diabetes by lifestyle modification in men in India: a prospective, parallel-group, randomised controlled trial. Lancet Diabetes Endocrinol. 2013;1(3):191–8.CrossRefPubMed
20.
go back to reference Sathish T, Williams ED, Pasricha N, Absetz P, Lorgelly P, Wolfe R, et al. Cluster randomised controlled trial of a peer-led lifestyle intervention program: study protocol for the Kerala diabetes prevention program. BMC Public Health. 2013;13:1035.CrossRefPubMedPubMedCentral Sathish T, Williams ED, Pasricha N, Absetz P, Lorgelly P, Wolfe R, et al. Cluster randomised controlled trial of a peer-led lifestyle intervention program: study protocol for the Kerala diabetes prevention program. BMC Public Health. 2013;13:1035.CrossRefPubMedPubMedCentral
21.
go back to reference Balagopal P, Kamalamma N, Patel TG, Misra R. A community-based diabetes prevention and management education program in a rural village in India. Diabetes Care. 2008;31(6):1097–104.CrossRefPubMed Balagopal P, Kamalamma N, Patel TG, Misra R. A community-based diabetes prevention and management education program in a rural village in India. Diabetes Care. 2008;31(6):1097–104.CrossRefPubMed
22.
go back to reference Balagopal P, Kamalamma N, Patel TG, Misra R. A community-based participatory diabetes prevention and management intervention in rural India using community health workers. Diabetes Educ. 2012;38(6):822–34.CrossRefPubMed Balagopal P, Kamalamma N, Patel TG, Misra R. A community-based participatory diabetes prevention and management intervention in rural India using community health workers. Diabetes Educ. 2012;38(6):822–34.CrossRefPubMed
23.
go back to reference Assah FK, Atanga EN, Enoru S, Sobngwi E, Mbanya JC. Community-based peer support significantly improves metabolic control in people with type 2 diabetes in Yaounde, Cameroon. Diabet Med. 2015;32(7):886–9.CrossRefPubMed Assah FK, Atanga EN, Enoru S, Sobngwi E, Mbanya JC. Community-based peer support significantly improves metabolic control in people with type 2 diabetes in Yaounde, Cameroon. Diabet Med. 2015;32(7):886–9.CrossRefPubMed
24.
go back to reference Baumann LC, Frederick N, Betty N, Jospehine E, Agatha N. A demonstration of peer support for Ugandan adults with type 2 diabetes. Int J Behav Med. 2015;22(3):374–83.CrossRefPubMed Baumann LC, Frederick N, Betty N, Jospehine E, Agatha N. A demonstration of peer support for Ugandan adults with type 2 diabetes. Int J Behav Med. 2015;22(3):374–83.CrossRefPubMed
25.
go back to reference Prost A, Colbourn T, Seward N, Azad K, Coomarasamy A, Copas A, et al. Women’s groups practising participatory learning and action to improve maternal and newborn health in low-resource settings: a systematic review and meta-analysis. Lancet. 2013;381(9879):1736–46.CrossRefPubMedPubMedCentral Prost A, Colbourn T, Seward N, Azad K, Coomarasamy A, Copas A, et al. Women’s groups practising participatory learning and action to improve maternal and newborn health in low-resource settings: a systematic review and meta-analysis. Lancet. 2013;381(9879):1736–46.CrossRefPubMedPubMedCentral
26.
go back to reference Azad K, Barnett S, Banerjee B, Shaha S, Khan K, Rego AR, et al. Effect of scaling up women’s groups on birth outcomes in three rural districts in Bangladesh: a cluster-randomised controlled trial. Lancet. 2010;375(9721):1193–202.CrossRefPubMed Azad K, Barnett S, Banerjee B, Shaha S, Khan K, Rego AR, et al. Effect of scaling up women’s groups on birth outcomes in three rural districts in Bangladesh: a cluster-randomised controlled trial. Lancet. 2010;375(9721):1193–202.CrossRefPubMed
27.
go back to reference Fottrell E, Azad K, Kuddus A, Younes L, Shaha S, Nahar T, et al. The effect of increased coverage of participatory women’s groups on neonatal mortality in Bangladesh: a cluster randomized trial. JAMA Pediatr. 2013;167(9):816–25.CrossRefPubMedPubMedCentral Fottrell E, Azad K, Kuddus A, Younes L, Shaha S, Nahar T, et al. The effect of increased coverage of participatory women’s groups on neonatal mortality in Bangladesh: a cluster randomized trial. JAMA Pediatr. 2013;167(9):816–25.CrossRefPubMedPubMedCentral
28.
go back to reference Younes L, Houweling TAJ, Azad K, Kuddus A, Shaha S, Haq B, et al. The effect of participatory women’s groups on infant feeding and child health knowledge, behaviour and outcomes in rural Bangladesh: a controlled before-and-after study. J Epidemiol Community Health. 2015;69:374–81.CrossRefPubMed Younes L, Houweling TAJ, Azad K, Kuddus A, Shaha S, Haq B, et al. The effect of participatory women’s groups on infant feeding and child health knowledge, behaviour and outcomes in rural Bangladesh: a controlled before-and-after study. J Epidemiol Community Health. 2015;69:374–81.CrossRefPubMed
29.
go back to reference Harris-Fry HA, Azad K, Younes L, Kuddus A, Shaha S, Nahar T, et al. Formative evaluation of a participatory women’s group intervention to improve reproductive and women’s health outcomes in rural Bangladesh: a controlled before and after study. J Epidemiol Community Health. 2016;70(7):663–70.CrossRefPubMedPubMedCentral Harris-Fry HA, Azad K, Younes L, Kuddus A, Shaha S, Nahar T, et al. Formative evaluation of a participatory women’s group intervention to improve reproductive and women’s health outcomes in rural Bangladesh: a controlled before and after study. J Epidemiol Community Health. 2016;70(7):663–70.CrossRefPubMedPubMedCentral
30.
go back to reference Bangladesh Bureau of Statistics. Bangladesh Population and Housing Census 2011. Dhaka: Bangladesh Bureau of Statistics; 2013. Bangladesh Bureau of Statistics. Bangladesh Population and Housing Census 2011. Dhaka: Bangladesh Bureau of Statistics; 2013.
31.
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 Complications. 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 Complications. 2014;28(2):243–51.CrossRefPubMed
32.
go back to reference Michie S, van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. 2011;6:42.CrossRefPubMedPubMedCentral Michie S, van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. 2011;6:42.CrossRefPubMedPubMedCentral
33.
go back to reference Michie S, Johnston M, Abraham C, Lawton R, Parker D, Walker A. Making psychological theory useful for implementing evidence based practice: a consensus approach. Qual Saf Health Care. 2005;14(1):26–33.CrossRefPubMedPubMedCentral Michie S, Johnston M, Abraham C, Lawton R, Parker D, Walker A. Making psychological theory useful for implementing evidence based practice: a consensus approach. Qual Saf Health Care. 2005;14(1):26–33.CrossRefPubMedPubMedCentral
34.
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
35.
go back to reference Cane J, O’Connor D, Michie S. Validation of the theoretical domains framework for use in behaviour change and implementation research. Implement Sci. 2012;7:37.CrossRefPubMedPubMedCentral Cane J, O’Connor D, Michie S. Validation of the theoretical domains framework for use in behaviour change and implementation research. Implement Sci. 2012;7:37.CrossRefPubMedPubMedCentral
36.
go back to reference French SD, Green SE, O’Connor DA, McKenzie JE, Francis JJ, Michie S, et al. Developing theory-informed behaviour change interventions to implement evidence into practice: a systematic approach using the Theoretical Domains Framework. Implement Sci. 2012;7:38.CrossRefPubMedPubMedCentral French SD, Green SE, O’Connor DA, McKenzie JE, Francis JJ, Michie S, et al. Developing theory-informed behaviour change interventions to implement evidence into practice: a systematic approach using the Theoretical Domains Framework. Implement Sci. 2012;7:38.CrossRefPubMedPubMedCentral
37.
go back to reference Agarwal S, LeFevre AE, Lee J, L’Engle K, Mehl G, Sinha C, et al. Guidelines for reporting of health interventions using mobile phones: mobile health (mHealth) Evidence Reporting and Assessment (mERA) Checklist. BMJ. 2016;352:i1174.CrossRefPubMed Agarwal S, LeFevre AE, Lee J, L’Engle K, Mehl G, Sinha C, et al. Guidelines for reporting of health interventions using mobile phones: mobile health (mHealth) Evidence Reporting and Assessment (mERA) Checklist. BMJ. 2016;352:i1174.CrossRefPubMed
38.
go back to reference Hayes RJ, Bennett S. Simple sample size calculation for cluster-randomized trials. Int J Epidemiol. 1999;28(2):319–26.CrossRefPubMed Hayes RJ, Bennett S. Simple sample size calculation for cluster-randomized trials. Int J Epidemiol. 1999;28(2):319–26.CrossRefPubMed
39.
go back to reference Hayes RJ, Moulton LH. Cluster randomised trials. Boca Raton: CRC Press; 2009.CrossRef Hayes RJ, Moulton LH. Cluster randomised trials. Boca Raton: CRC Press; 2009.CrossRef
40.
go back to reference World Health Organisation (WHO), International Diabetes Federation (IDF). Definition and diagnosis of diabetes mellitus and intermediate hyperglycaemia: report of a WHO/IDF consultation. Geneva: WHO; 2006. World Health Organisation (WHO), International Diabetes Federation (IDF). Definition and diagnosis of diabetes mellitus and intermediate hyperglycaemia: report of a WHO/IDF consultation. Geneva: WHO; 2006.
41.
go back to reference World Health Organisation (WHO). Surveillance of risk factors for noncommunicable disease: the WHO STEPwise approach. WHO document WHO/NMH/CCS/01.2002. Geneva: WHO; 2002. World Health Organisation (WHO). Surveillance of risk factors for noncommunicable disease: the WHO STEPwise approach. WHO document WHO/NMH/CCS/01.2002. Geneva: WHO; 2002.
42.
go back to reference Saleh F, Ara F, Mumu SJ, Hafez MA. Assessment of health-related quality of life of Bangladeshi patients with type 2 diabetes using the EQ-5D: a cross-sectional study. BMC Res Notes. 2015;8:497.CrossRefPubMedPubMedCentral Saleh F, Ara F, Mumu SJ, Hafez MA. Assessment of health-related quality of life of Bangladeshi patients with type 2 diabetes using the EQ-5D: a cross-sectional study. BMC Res Notes. 2015;8:497.CrossRefPubMedPubMedCentral
43.
go back to reference Shubis K, Juma O, Sharifu R, Burgess B, Abdulla S. Challenges of establishing a community advisory board (CAB) in a low-income, low-resource setting: experiences from Bagamoyo, Tanzania. Health Res Policy Syst. 2009;7:16.CrossRefPubMedPubMedCentral Shubis K, Juma O, Sharifu R, Burgess B, Abdulla S. Challenges of establishing a community advisory board (CAB) in a low-income, low-resource setting: experiences from Bagamoyo, Tanzania. Health Res Policy Syst. 2009;7:16.CrossRefPubMedPubMedCentral
44.
go back to reference Pinto RM, Spector AY, Valera PA. Exploring group dynamics for integrating scientific and experiential knowledge in community advisory boards for HIV research. AIDS Care. 2011;23(8):1006–13.CrossRefPubMedPubMedCentral Pinto RM, Spector AY, Valera PA. Exploring group dynamics for integrating scientific and experiential knowledge in community advisory boards for HIV research. AIDS Care. 2011;23(8):1006–13.CrossRefPubMedPubMedCentral
Metadata
Title
The effect of community groups and mobile phone messages on the prevention and control of diabetes in rural Bangladesh: study protocol for a three-arm cluster randomised controlled trial
Authors
Edward Fottrell
Hannah Jennings
Abdul Kuddus
Naveed Ahmed
Joanna Morrison
Kohenour Akter
Sanjit Kumar Shaha
Badrun Nahar
Tasmin Nahar
Hassan Haghparast-Bidgoli
A. K. Azad Khan
Anthony Costello
Kishwar Azad
Publication date
01-12-2016
Publisher
BioMed Central
Published in
Trials / Issue 1/2016
Electronic ISSN: 1745-6215
DOI
https://doi.org/10.1186/s13063-016-1738-x

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