Enhancing care quality and accessibility through digital technology-supported decentralisation of hypertension and diabetes management: a proof-of-concept study in rural Bangladesh

Wubin Xie, Rina Rani Paul, Ian Y Goon, Aysha Anan, Aminur Rahim, Md Mokbul Hossain, Fred Hersch, Brian Oldenburg, John Chambers, Malay Kanti Mridha, Wubin Xie, Rina Rani Paul, Ian Y Goon, Aysha Anan, Aminur Rahim, Md Mokbul Hossain, Fred Hersch, Brian Oldenburg, John Chambers, Malay Kanti Mridha

Abstract

Objective: The critical shortage of healthcare workers, particularly in rural areas, is a major barrier to quality care for non-communicable diseases (NCD) in low-income and middle-income countries. In this proof-of-concept study, we aimed to test a decentralised model for integrated diabetes and hypertension management in rural Bangladesh to improve accessibility and quality of care.

Design and setting: The study is a single-cohort proof-of-concept study. The key interventions comprised shifting screening, routine monitoring and dispensing of medication refills from a doctor-managed subdistrict NCD clinic to non-physician health worker-managed village-level community clinics; a digital care coordination platform was developed for electronic health records, point-of-care support, referral and routine patient follow-up. The study was conducted in the Parbatipur subdistrict, Rangpur Division, Bangladesh.

Participants: A total of 624 participants were enrolled in the study (mean (SD) age, 59.5 (12.0); 65.1% female).

Outcomes: Changes in blood pressure and blood glucose control, patient retention and patient-visit volume at the NCD clinic and community clinics.

Results: The proportion of patients with uncontrolled blood pressure reduced from 60% at baseline to 26% at the third month of follow-up, a 56% (incidence rate ratio 0.44; 95% CI 0.33 to 0.57) reduction after adjustment for covariates. The proportion of patients with uncontrolled blood glucose decreased from 74% to 43% at the third month of follow-up. Attrition rates immediately after baseline and during the entire study period were 29.1% and 36.2%, respectively.

Conclusion: The proof-of-concept study highlights the potential for involving lower-level primary care facilities and non-physician health workers to rapidly expand much-needed services to patients with hypertension and diabetes in Bangladesh and in similar global settings. Further investigations are needed to evaluate the effectiveness of decentralised hypertension and diabetes care.

Keywords: diabetes & endocrinology; health services accessibility; hypertension.

Conflict of interest statement

Competing interests: None declared.

© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ.

Figures

Figure 1
Figure 1
NCD service delivery hierarchy and coordinated NCD care. CC, community clinic; CHCP, community healthcare provider; CHW, community health worker; GHRU, global health research unit; NCD, non-communicable disease; UHC, Upazila Health Complex. *Government community health workers include family welfare assistants, health assistants and multipurpose health volunteers; however, a designated community health worker was recruited and trained for NCD-related tasks in the present study. Union subcentres were not involved in this present study. Union subcentres are at a higher level of hierarchy than community clinics.
Figure 2
Figure 2
Digital platform designed to support multiple healthcare personnel roles along the care pathway.
Figure 3
Figure 3
Change in the proportion of uncontrolled conditions over follow-up visits. Results adjusted age and sex. Uncontrolled blood pressure is defined as systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg, while uncontrolled blood glucose is defined as fasting blood glucose ≥7 mmol/L or random blood glucose ≥11.1 mmol/L. HTN, hypertension; T2D, type 2 diabetes.

References

    1. Sun H, Saeedi P, Karuranga S, et al. . IDF diabetes Atlas: global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res Clin Pract 2022;183:S0168-8227(21)00478-2. 10.1016/j.diabres.2021.109119
    1. Roth GA, Mensah GA, Johnson CO, et al. . Global burden of cardiovascular diseases and risk factors, 1990-2019: update from the GBD 2019 study. J Am Coll Cardiol 2020;76:2982–3021. 10.1016/j.jacc.2020.11.010
    1. Prabhakaran D, Anand S, Watkins D, et al. . Cardiovascular, respiratory, and related disorders: key messages from disease control priorities. The Lancet 2018;391:1224–36. 10.1016/S0140-6736(17)32471-6
    1. Zhou B, Carrillo-Larco RM, Danaei G, et al. . Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants. The Lancet 2021;398:957–80. 10.1016/S0140-6736(21)01330-1
    1. World Health Organization . Global action plan for the prevention and control of NCDs 2013–2020. 2013. Geneva: WHO, 2019.
    1. Manne-Goehler J, Geldsetzer P, Agoudavi K, et al. . Health system performance for people with diabetes in 28 low-and middle-income countries: a cross-sectional study of nationally representative surveys. PLoS Med 2019;16:e1002751. 10.1371/journal.pmed.1002751
    1. Geldsetzer P, Manne-Goehler J, Marcus M-E, et al. . The state of hypertension care in 44 low-income and middle-income countries: a cross-sectional study of nationally representative individual-level data from 1· 1 million adults. The Lancet 2019;394:652–62. 10.1016/S0140-6736(19)30955-9
    1. Kabir A, Karim MN, Islam RM, et al. . Health system readiness for non-communicable diseases at the primary care level: a systematic review. BMJ Open 2022;12:e060387. 10.1136/bmjopen-2021-060387
    1. Frenk J, Chen L, Bhutta ZA, et al. . Health professionals for a new century: transforming education to strengthen health systems in an interdependent world. The Lancet 2010;376:1923–58. 10.1016/S0140-6736(10)61854-5
    1. Chowdhury HA, Paromita P, Mayaboti CA, et al. . Assessing service availability and readiness of Healthcare facilities to manage diabetes mellitus in Bangladesh: findings from a nationwide survey. PLoS One 2022;17:e0263259. 10.1371/journal.pone.0263259
    1. Islam K, Huque R, Saif-Ur-Rahman KM, et al. . Implementation status of non-communicable disease control program at primary health care level in bangladesh: findings from a qualitative research. Public Health Pract (Oxf) 2022;3:100271. 10.1016/j.puhip.2022.100271
    1. World Health Organization . Declaration of alma-ata. World Health Organization. Regional Office for Europe, 1978.
    1. Rawal LB, Kanda K, Biswas T, et al. . Non-communicable disease (NCD) corners in public sector health facilities in Bangladesh: a qualitative study assessing challenges and opportunities for improving NCD services at the primary Healthcare level. BMJ Open 2019;9:e029562. 10.1136/bmjopen-2019-029562
    1. Rawal L, Jubayer S, Choudhury SR, et al. . Community health workers for non-communicable diseases prevention and control in Bangladesh: a qualitative study. Glob Health Res Policy 2020;6:1. 10.1186/s41256-020-00182-z
    1. Devi R, Kanitkar K, Narendhar R, et al. . A narrative review of the patient journey through the lens of non-communicable diseases in Low- and middle-income countries. Adv Ther 2020;37:4808–30. 10.1007/s12325-020-01519-3
    1. Jindal D, Sharma H, Gupta Y, et al. . Improving care for hypertension and diabetes in India by addition of clinical decision support system and task shifting in the National NCD program: I-TREC model of care. BMC Health Serv Res 2022;22:1–12. 10.1186/s12913-022-08025-y
    1. Brennan AT, Long L, Maskew M, et al. . Outcomes of stable HIV-positive patients down-referred from a doctor-managed antiretroviral therapy clinic to a nurse-managed primary health clinic for monitoring and treatment. AIDS 2011;25:2027–36. 10.1097/QAD.0b013e32834b6480
    1. Sanne I, Orrell C, Fox MP, et al. . Nurse versus doctor management of HIV-infected patients receiving antiretroviral therapy (CIPRA-SA): a randomised non-inferiority trial. The Lancet 2010;376:33–40. 10.1016/S0140-6736(10)60894-X
    1. Lehmann U, Van Damme W, Barten F, et al. . Task shifting: the answer to the human resources crisis in Africa? Hum Resour Health 2009;7:49. 10.1186/1478-4491-7-49
    1. Kruk ME, Nigenda G, Knaul FM. Redesigning primary care to tackle the global epidemic of Noncommunicable disease. Am J Public Health 2015;105:431–7. 10.2105/AJPH.2014.302392
    1. Kredo T, Ford N, Adeniyi FB, et al. . Decentralising HIV treatment in Lower- and middle-income countries. Cochrane Database Syst Rev 2013;2013:CD009987. 10.1002/14651858.CD009987.pub2
    1. Labrique AB, Wadhwani C, Williams KA, et al. . Best practices in Scaling Digital health in low and middle income countries. Global Health 2018;14:103. 10.1186/s12992-018-0424-z
    1. Anchala R, Kaptoge S, Pant H, et al. . Evaluation of effectiveness and Cost‐Effectiveness of a clinical decision support system in managing hypertension in resource constrained primary health care settings: results from a cluster randomized trial. J Am Heart Assoc 2015;4:e001213. 10.1161/JAHA.114.001213 Available:
    1. Prabhakaran D, Jha D, Prieto-Merino D, et al. . Effectiveness of an mHealth-based electronic decision support system for integrated management of chronic conditions in primary care. Circulation 2019;139:380–91. 10.1161/CIRCULATIONAHA.118.038192
    1. Kumar A, Schwarz D, Acharya B, et al. . Designing and implementing an integrated non-communicable disease primary care intervention in rural Nepal. BMJ Glob Health 2019;4:e001343. 10.1136/bmjgh-2018-001343 Available:
    1. Vos T. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the global burden of disease study 2019. Lancet 2020;396:1204–22. 10.1016/S0140-6736(20)30925-9
    1. Sathi NJ, Islam MA, Ahmed MS, et al. . Prevalence, trends and associated factors of hypertension and diabetes mellitus in Bangladesh: evidence from BHDS 2011 and 2017–18. PLoS One 2022;17:e0267243. 10.1371/journal.pone.0267243
    1. Khan N, Oldroyd JC, Hossain MB, et al. . Awareness, treatment, and control of diabetes in Bangladesh: evidence from the Bangladesh demographic and health survey 2017/18. Int J Clin Pract 2021;2022.
    1. Khan MdN, Oldroyd JC, Chowdhury EK, et al. . Prevalence, awareness, treatment, and control of hypertension in Bangladesh: findings from national demographic and health survey, 2017–2018. J of Clinical Hypertension 2021;23:1830–42. 10.1111/jch.14363 Available:
    1. Khan MN, Oldroyd JC, Hossain MB, et al. . Awareness, treatment, and control of diabetes in Bangladesh: evidence from the Bangladesh demographic and health survey 2017/18. Public and Global Health 2021. 10.1101/2021.07.09.21260274
    1. Riaz BK, Islam MZ, Islam ANMS, et al. . Risk factors for non-communicable diseases in Bangladesh: findings of the population-based cross-sectional national survey 2018. BMJ Open 2020;10:e041334. 10.1136/bmjopen-2020-041334
    1. D. G. o. H. S . Non-communicable disease control programme, "multi-Sectoral action plan for prevention and control of non-communicable diseases 2018-2025. 2018.
    1. Bank W. Hypertension and Type-2 Diabetes in Bangladesh: Continuum of Care Assessment and Opportunities for Action. World Bank, 2018. 10.1596/30041
    1. M. o. H. a. F. W . Government of people’s Republic of Bangladesh, facility Registry. 2022.
    1. World Health Organization . WHO package of essential Noncommunicable (PEN) disease interventions for primary health care. 2020.
    1. Zou GY, Donner A. Extension of the modified Poisson regression model to prospective studies with correlated binary data. Stat Methods Med Res 2013;22:661–70. 10.1177/0962280211427759
    1. Yelland LN, Salter AB, Ryan P. Performance of the modified Poisson regression approach for estimating relative risks from clustered prospective data. Am J Epidemiol 2011;174:984–92. 10.1093/aje/kwr183
    1. BRAC Health Nutrition and Population Program . Accessible and affordable primary health care for all: annual report progress of social enterprises April 2018 - April 2019. 2020. Available:
    1. Alam BB, Koziel A, Fraser-Hurt N, et al. . Hypertension and Type-2 diabetes in Bangladesh: continuum of care assessment and opportunities for action. 2020.
    1. Srinivasapura Venkateshmurthy N, Ajay VS, Mohan S, et al. . M-power heart project-a nurse care coordinator led, mHealth enabled intervention to improve the management of hypertension in India: study protocol for a cluster randomized trial. Trials 2018;19:1–9. 10.1186/s13063-018-2813-2
    1. Peiris D, Praveen D, Mogulluru K, et al. . Smarthealth India: a stepped-wedge, cluster randomised controlled trial of a community health worker managed mobile health intervention for people assessed at high cardiovascular disease risk in rural India. PLoS ONE 2019;14:e0213708. 10.1371/journal.pone.0213708
    1. Labhardt ND, Balo J-R, Ndam M, et al. . Task shifting to non-physician Clinicians for integrated management of hypertension and diabetes in rural Cameroon: a programme assessment at two years. BMC Health Serv Res 2010;10:339. 10.1186/1472-6963-10-339
    1. Kachimanga C, Dibba Y, Patiño M, et al. . Implementation of a non-communicable disease clinic in rural Sierra Leone: early experiences and lessons learned. J Public Health Policy 2021;42:422–38. 10.1057/s41271-021-00304-y
    1. Deo S, Singh P. Community health worker-led, technology-enabled private sector intervention for diabetes and hypertension management among urban poor: a retrospective cohort study from large Indian metropolitan city. BMJ Open 2021;11:e045246. 10.1136/bmjopen-2020-045246
    1. He J, Irazola V, Mills KT, et al. . Effect of a community health worker–led Multicomponent intervention on blood pressure control in low-income patients in Argentina: A randomized clinical trial. JAMA 2017;318:1016–25. 10.1001/jama.2017.11358
    1. Jafar TH. A community-based intervention for hypertension in rural South Asia. reply. N Engl J Med 2020;382:10.1056/NEJMc2006112#sa2. 10.1056/NEJMc2006112
    1. Schwalm J-D, McCready T, Lopez-Jaramillo P, et al. . A community-based comprehensive intervention to reduce cardiovascular risk in hypertension (HOPE 4): a cluster-randomised controlled trial. Lancet 2019;394:1231–42. 10.1016/S0140-6736(19)31949-X
    1. Chow CK, Teo KK, Rangarajan S, et al. . Prevalence, awareness, treatment, and control of hypertension in rural and urban communities in high-, middle-, and low-income countries. JAMA 2013;310:959–68. 10.1001/jama.2013.184182

Source: PubMed

3
Sottoscrivi