Hypertension Clinical Trial
Official title:
Addressing Gaps in the Hypertension and Diabetes Care Continuum in Rural Bangladesh Through mHealth and Decentralized Primary Care: The Dinajpur Study
In the present implementation study, we aim to document the experience of implementing integrated, decentralized primary care in rural Bangladesh, including components of healthcare provider training, mHealth, decentralization with task shifting, and community-based care, and to generate data on the effectiveness and cost-effectiveness of the multicomponent integrated care as compared to usual care and to mHealth intervention alone. We will also Investigate the factors that explain how the interventions influence hypertension and diabetes management and explore barriers/facilitators to delivering and sustaining intervention. We will conduct mixed-methods research to understand how the intervention influences treatment and prevention in this patient population. Particularly, we will assess lifestyle changes (i.e., smoking, dietary salt intake, physical activity, alcohol consumption), and burden for patients (e.g., waiting time, travel-related cost) at individual and community level. Qualitative data will shed light on facilitators and barriers to hypertension and diabetes prevention and control from the perspectives of patients (and their families), primary care providers, public health officials, and other stakeholders. Additionally, we will undertake a health economic evaluation of the interventions for primary care systems. A comprehensive evaluation of cost and effectiveness will be important for the models tested, providing necessary evidence for policymakers and stakeholders to scale up the interventions. We hypothesize that compared with usual care, the multicomponent decentralized primary care will improve all steps along hypertension and diabetes care continuum. On the other hand, we hypothesize that the mHealth intervention alone (Simple App) may improve BP and glycemic control compared with usual care but will have a limited impact on rates of screening, diagnosis, and treatment. We also hypothesize that the multicomponent integrated care will lead to a higher treatment success rate relative to mHealth intervention alone.
Status | Recruiting |
Enrollment | 6750 |
Est. completion date | September 30, 2026 |
Est. primary completion date | September 30, 2026 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 40 Years and older |
Eligibility | Inclusion Criteria: - All participants aged 40 or above - With hypertension and diabetes - Residents of specific study areas - Willing to participate Exclusion Criteria: - Adults aged less than 40 years - Children - Pregnant women - Severely ill - Having severe disabilities both physical and mental) |
Country | Name | City | State |
---|---|---|---|
Bangladesh | BRAC James P Grant School of Public Health | Dhaka |
Lead Sponsor | Collaborator |
---|---|
BRAC University | Imperial College London, Nanyang Technological University |
Bangladesh,
Abrahams-Gessel S, Denman CA, Montano CM, Gaziano TA, Levitt N, Rivera-Andrade A, Carrasco DM, Zulu J, Khanam MA, Puoane T. The training and fieldwork experiences of community health workers conducting population-based, noninvasive screening for CVD in LMIC. Glob Heart. 2015 Mar;10(1):45-54. doi: 10.1016/j.gheart.2014.12.008. — View Citation
Alaofe H, Asaolu I, Ehiri J, Moretz H, Asuzu C, Balogun M, Abosede O, Ehiri J. Community Health Workers in Diabetes Prevention and Management in Developing Countries. Ann Glob Health. 2017 May-Aug;83(3-4):661-675. doi: 10.1016/j.aogh.2017.10.009. Epub 2017 Nov 22. — View Citation
Anand TN, Joseph LM, Geetha AV, Prabhakaran D, Jeemon P. Task sharing with non-physician health-care workers for management of blood pressure in low-income and middle-income countries: a systematic review and meta-analysis. Lancet Glob Health. 2019 Jun;7(6):e761-e771. doi: 10.1016/S2214-109X(19)30077-4. Erratum In: Lancet Glob Health. 2019 Nov;7(11):e1499. — View Citation
Anchala R, Kaptoge S, Pant H, Di Angelantonio E, Franco OH, Prabhakaran D. 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 Jan 5;4(1):e001213. doi: 10.1161/JAHA.114.001213. — View Citation
Bodenheimer T, Wagner EH, Grumbach K. Improving primary care for patients with chronic illness: the chronic care model, Part 2. JAMA. 2002 Oct 16;288(15):1909-14. doi: 10.1001/jama.288.15.1909. — View Citation
Brennan AT, Long L, Maskew M, Sanne I, Jaffray I, MacPhail P, Fox MP. 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 Oct 23;25(16):2027-36. doi: 10.1097/QAD.0b013e32834b6480. — View Citation
Burka D, Gupta R, Moran AE, Cohn J, Choudhury SR, Cheadle T, Mullick R, Frieden TR. Keep it simple: designing a user-centred digital information system to support chronic disease management in low/middle-income countries. BMJ Health Care Inform. 2023 Jan;30(1):e100641. doi: 10.1136/bmjhci-2022-100641. — View Citation
Burnier M, Egan BM. Adherence in Hypertension. Circ Res. 2019 Mar 29;124(7):1124-1140. doi: 10.1161/CIRCRESAHA.118.313220. — View Citation
Campbell MJ, Julious SA, Altman DG. Estimating sample sizes for binary, ordered categorical, and continuous outcomes in two group comparisons. BMJ. 1995 Oct 28;311(7013):1145-8. doi: 10.1136/bmj.311.7013.1145. Erratum In: BMJ 1996 Jan 13;312(7023):96. — View Citation
Chowdhury AM, Bhuiya A, Chowdhury ME, Rasheed S, Hussain Z, Chen LC. The Bangladesh paradox: exceptional health achievement despite economic poverty. Lancet. 2013 Nov 23;382(9906):1734-45. doi: 10.1016/S0140-6736(13)62148-0. Epub 2013 Nov 21. — View Citation
Chowdhury HA, Paromita P, Mayaboti CA, Rakhshanda S, Rahman FN, Abedin M, Rahman AKMF, Mashreky SR. Assessing service availability and readiness of healthcare facilities to manage diabetes mellitus in Bangladesh: Findings from a nationwide survey. PLoS One. 2022 Feb 16;17(2):e0263259. doi: 10.1371/journal.pone.0263259. eCollection 2022. — View Citation
Correia JC, Lachat S, Lagger G, Chappuis F, Golay A, Beran D; COHESION Project. Interventions targeting hypertension and diabetes mellitus at community and primary healthcare level in low- and middle-income countries:a scoping review. BMC Public Health. 2019 Nov 21;19(1):1542. doi: 10.1186/s12889-019-7842-6. — View Citation
Curran GM, Bauer M, Mittman B, Pyne JM, Stetler C. Effectiveness-implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact. Med Care. 2012 Mar;50(3):217-26. doi: 10.1097/MLR.0b013e3182408812. — View Citation
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 Aug 12;11(8):e045246. doi: 10.1136/bmjopen-2020-045246. — View Citation
Frenk J, Chen L, Bhutta ZA, Cohen J, Crisp N, Evans T, Fineberg H, Garcia P, Ke Y, Kelley P, Kistnasamy B, Meleis A, Naylor D, Pablos-Mendez A, Reddy S, Scrimshaw S, Sepulveda J, Serwadda D, Zurayk H. Health professionals for a new century: transforming education to strengthen health systems in an interdependent world. Lancet. 2010 Dec 4;376(9756):1923-58. doi: 10.1016/S0140-6736(10)61854-5. Epub 2010 Nov 26. No abstract available. — View Citation
Gandhi M, Assam PN, Turner EL, Morisky DE, Chan E, Jafar TH; COBRA-BPS Study Group. Statistical analysis plan for the control of blood pressure and risk attenuation-rural Bangladesh, Pakistan, Sri Lanka (COBRA-BPS) trial: a cluster randomized trial for a multicomponent intervention versus usual care in hypertensive patients. Trials. 2018 Nov 29;19(1):658. doi: 10.1186/s13063-018-3022-8. — View Citation
Gaziano TA, Abrahams-Gessel S, Denman CA, Montano CM, Khanam M, Puoane T, Levitt NS. An assessment of community health workers' ability to screen for cardiovascular disease risk with a simple, non-invasive risk assessment instrument in Bangladesh, Guatemala, Mexico, and South Africa: an observational study. Lancet Glob Health. 2015 Sep;3(9):e556-63. doi: 10.1016/S2214-109X(15)00143-6. Epub 2015 Jul 14. — View Citation
GBD 2019 Diseases and Injuries Collaborators. 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 Oct 17;396(10258):1204-1222. doi: 10.1016/S0140-6736(20)30925-9. Erratum In: Lancet. 2020 Nov 14;396(10262):1562. — View Citation
Geldsetzer P, Manne-Goehler J, Marcus ME, Ebert C, Zhumadilov Z, Wesseh CS, Tsabedze L, Supiyev A, Sturua L, Bahendeka SK, Sibai AM, Quesnel-Crooks S, Norov B, Mwangi KJ, Mwalim O, Wong-McClure R, Mayige MT, Martins JS, Lunet N, Labadarios D, Karki KB, Kagaruki GB, Jorgensen JMA, Hwalla NC, Houinato D, Houehanou C, Msaidie M, Guwatudde D, Gurung MS, Gathecha G, Dorobantu M, Damasceno A, Bovet P, Bicaba BW, Aryal KK, Andall-Brereton G, Agoudavi K, Stokes A, Davies JI, Barnighausen T, Atun R, Vollmer S, Jaacks LM. 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. Lancet. 2019 Aug 24;394(10199):652-662. doi: 10.1016/S0140-6736(19)30955-9. Epub 2019 Jul 18. — View Citation
Gu Q, Burt VL, Paulose-Ram R, Yoon S, Gillum RF. High blood pressure and cardiovascular disease mortality risk among U.S. adults: the third National Health and Nutrition Examination Survey mortality follow-up study. Ann Epidemiol. 2008 Apr;18(4):302-9. doi: 10.1016/j.annepidem.2007.11.013. Epub 2008 Feb 8. Erratum In: Ann Epidemiol. 2008 Jun;18(6):515. — View Citation
Gu Q, Dillon CF, Burt VL, Gillum RF. Association of hypertension treatment and control with all-cause and cardiovascular disease mortality among US adults with hypertension. Am J Hypertens. 2010 Jan;23(1):38-45. doi: 10.1038/ajh.2009.191. Epub 2009 Oct 22. — View Citation
He J, Irazola V, Mills KT, Poggio R, Beratarrechea A, Dolan J, Chen CS, Gibbons L, Krousel-Wood M, Bazzano LA, Nejamis A, Gulayin P, Santero M, Augustovski F, Chen J, Rubinstein A; HCPIA Investigators. 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 Sep 19;318(11):1016-1025. doi: 10.1001/jama.2017.11358. — View Citation
Islam K, Huque R, Saif-Ur-Rahman KM, Ehtesham Kabir ANM, Enayet Hussain AHM. 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 May 10;3:100271. doi: 10.1016/j.puhip.2022.100271. eCollection 2022 Jun. — View Citation
Jafar TH, Gandhi M, de Silva HA, Jehan I, Naheed A, Finkelstein EA, Turner EL, Morisky D, Kasturiratne A, Khan AH, Clemens JD, Ebrahim S, Assam PN, Feng L; COBRA-BPS Study Group. A Community-Based Intervention for Managing Hypertension in Rural South Asia. N Engl J Med. 2020 Feb 20;382(8):717-726. doi: 10.1056/NEJMoa1911965. — View Citation
Kabir A, Karim MN, Islam RM, Romero L, Billah B. Health system readiness for non-communicable diseases at the primary care level: a systematic review. BMJ Open. 2022 Feb 9;12(2):e060387. doi: 10.1136/bmjopen-2021-060387. — View Citation
Kaur P, Kunwar A, Sharma M, Durgad K, Gupta S; India Hypertension Control Initiative collaboration; Bhargava B. The India Hypertension Control Initiative-early outcomes in 26 districts across five states of India, 2018-2020. J Hum Hypertens. 2023 Jul;37(7):560-567. doi: 10.1038/s41371-022-00742-5. Epub 2022 Aug 9. — View Citation
Khan MN, Oldroyd JC, Chowdhury EK, Hossain MB, Rana J, Renzetti S, Islam RM. Prevalence, awareness, treatment, and control of hypertension in Bangladesh: Findings from National Demographic and Health Survey, 2017-2018. J Clin Hypertens (Greenwich). 2021 Oct;23(10):1830-1842. doi: 10.1111/jch.14363. Epub 2021 Sep 7. — View Citation
Khan N, Oldroyd JC, Hossain MB, Islam RM. Awareness, Treatment, and Control of Diabetes in Bangladesh: Evidence from the Bangladesh Demographic and Health Survey 2017/18. Int J Clin Pract. 2022 Apr 22;2022:8349160. doi: 10.1155/2022/8349160. eCollection 2022. — View Citation
Kredo T, Ford N, Adeniyi FB, Garner P. Decentralising HIV treatment in lower- and middle-income countries. Cochrane Database Syst Rev. 2013 Jun 27;2013(6):CD009987. doi: 10.1002/14651858.CD009987.pub2. — View Citation
Kruk ME, Gage AD, Arsenault C, Jordan K, Leslie HH, Roder-DeWan S, Adeyi O, Barker P, Daelmans B, Doubova SV, English M, Garcia-Elorrio E, Guanais F, Gureje O, Hirschhorn LR, Jiang L, Kelley E, Lemango ET, Liljestrand J, Malata A, Marchant T, Matsoso MP, Meara JG, Mohanan M, Ndiaye Y, Norheim OF, Reddy KS, Rowe AK, Salomon JA, Thapa G, Twum-Danso NAY, Pate M. High-quality health systems in the Sustainable Development Goals era: time for a revolution. Lancet Glob Health. 2018 Nov;6(11):e1196-e1252. doi: 10.1016/S2214-109X(18)30386-3. Epub 2018 Sep 5. No abstract available. Erratum In: Lancet Glob Health. 2018 Sep 18;: Lancet Glob Health. 2018 Nov;6(11):e1162. Lancet Glob Health. 2021 Aug;9(8):e1067. — View Citation
Kruk ME, Nigenda G, Knaul FM. Redesigning primary care to tackle the global epidemic of noncommunicable disease. Am J Public Health. 2015 Mar;105(3):431-7. doi: 10.2105/AJPH.2014.302392. Epub 2015 Jan 20. — View Citation
Kumar A, Schwarz D, Acharya B, Agrawal P, Aryal A, Choudhury N, Citrin D, Dangal B, Deukmedjian G, Dhimal M, Dhungana S, Gauchan B, Gupta T, Halliday S, Jha D, Kalaunee SP, Karmacharya B, Kishore S, Koirala B, Kunwar L, Mahar R, Maru S, Mehanni S, Nirola I, Pandey S, Pant B, Pathak M, Poudel S, Rajbhandari I, Raut A, Rimal P, Schwarz R, Shrestha A, Thapa A, Thapa P, Thapa R, Wong L, Maru D. Designing and implementing an integrated non-communicable disease primary care intervention in rural Nepal. BMJ Glob Health. 2019 Apr 29;4(2):e001343. doi: 10.1136/bmjgh-2018-001343. eCollection 2019. — View Citation
Labhardt ND, Balo JR, Ndam M, Grimm JJ, Manga E. 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 Dec 14;10:339. doi: 10.1186/1472-6963-10-339. — View Citation
Labrique AB, Wadhwani C, Williams KA, Lamptey P, Hesp C, Luk R, Aerts A. Best practices in scaling digital health in low and middle income countries. Global Health. 2018 Nov 3;14(1):103. doi: 10.1186/s12992-018-0424-z. — View Citation
Legido-Quigley H, Naheed A, de Silva HA, Jehan I, Haldane V, Cobb B, Tavajoh S, Chakma N, Kasturiratne A, Siddiqui S, Jafar TH; for COBRA-BPS Study group. Patients' experiences on accessing health care services for management of hypertension in rural Bangladesh, Pakistan and Sri Lanka: A qualitative study. PLoS One. 2019 Jan 25;14(1):e0211100. doi: 10.1371/journal.pone.0211100. eCollection 2019. — View Citation
Lehmann U, Van Damme W, Barten F, Sanders D. Task shifting: the answer to the human resources crisis in Africa? Hum Resour Health. 2009 Jun 21;7:49. doi: 10.1186/1478-4491-7-49. — View Citation
Lipsitch M, Tchetgen Tchetgen E, Cohen T. Negative controls: a tool for detecting confounding and bias in observational studies. Epidemiology. 2010 May;21(3):383-8. doi: 10.1097/EDE.0b013e3181d61eeb. Erratum In: Epidemiology. 2010 Jul;21(4):589. — View Citation
Manne-Goehler J, Geldsetzer P, Agoudavi K, Andall-Brereton G, Aryal KK, Bicaba BW, Bovet P, Brian G, Dorobantu M, Gathecha G, Singh Gurung M, Guwatudde D, Msaidie M, Houehanou C, Houinato D, Jorgensen JMA, Kagaruki GB, Karki KB, Labadarios D, Martins JS, Mayige MT, McClure RW, Mwalim O, Mwangi JK, Norov B, Quesnel-Crooks S, Silver BK, Sturua L, Tsabedze L, Wesseh CS, Stokes A, Marcus M, Ebert C, Davies JI, Vollmer S, Atun R, Barnighausen TW, Jaacks LM. 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 Mar 1;16(3):e1002751. doi: 10.1371/journal.pmed.1002751. eCollection 2019 Mar. — View Citation
Naheed A, Haldane V, Jafar TH, Chakma N, Legido-Quigley H. Patient pathways and perceptions of hypertension treatment, management, and control in rural Bangladesh: a qualitative study. Patient Prefer Adherence. 2018 Aug 14;12:1437-1449. doi: 10.2147/PPA.S163385. eCollection 2018. — View Citation
Nam S, Chesla C, Stotts NA, Kroon L, Janson SL. Barriers to diabetes management: patient and provider factors. Diabetes Res Clin Pract. 2011 Jul;93(1):1-9. doi: 10.1016/j.diabres.2011.02.002. Epub 2011 Mar 5. — View Citation
NCD Risk Factor Collaboration (NCD-RisC). Long-term and recent trends in hypertension awareness, treatment, and control in 12 high-income countries: an analysis of 123 nationally representative surveys. Lancet. 2019 Aug 24;394(10199):639-651. doi: 10.1016/S0140-6736(19)31145-6. Epub 2019 Jul 18. — View Citation
NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19.1 million participants. Lancet. 2017 Jan 7;389(10064):37-55. doi: 10.1016/S0140-6736(16)31919-5. Epub 2016 Nov 16. Erratum In: Lancet. 2020 Sep 26;396(10255):886. — View Citation
Oti SO, van de Vijver S, Gomez GB, Agyemang C, Egondi T, Kyobutungi C, Stronks K. Outcomes and costs of implementing a community-based intervention for hypertension in an urban slum in Kenya. Bull World Health Organ. 2016 Jul 1;94(7):501-9. doi: 10.2471/BLT.15.156513. Epub 2016 Apr 26. — View Citation
Patel SA, Sharma H, Mohan S, Weber MB, Jindal D, Jarhyan P, Gupta P, Sharma R, Ali M, Ali MK, Narayan KMV, Prabhakaran D, Gupta Y, Roy A, Tandon N. The Integrated Tracking, Referral, and Electronic Decision Support, and Care Coordination (I-TREC) program: scalable strategies for the management of hypertension and diabetes within the government healthcare system of India. BMC Health Serv Res. 2020 Nov 9;20(1):1022. doi: 10.1186/s12913-020-05851-w. — View Citation
Prabhakaran D, Jha D, Prieto-Merino D, Roy A, Singh K, Ajay VS, Jindal D, Gupta P, Kondal D, Goenka S, Jacob P, Singh R, Kumar BGP, Perel P, Tandon N, Patel V; Members of the Research Steering Committee,Investigators,Members of the Data Safety and Monitoring Board. Effectiveness of an mHealth-Based Electronic Decision Support System for Integrated Management of Chronic Conditions in Primary Care: The mWellcare Cluster-Randomized Controlled Trial. Circulation. 2019 Jan 15;139(3):380-391. doi: 10.1161/CIRCULATIONAHA.118.038192. Epub 2018 Nov 10. — View Citation
Riaz BK, Islam MZ, Islam ANMS, Zaman MM, Hossain MA, Rahman MM, Khanam F, Amin KMB, Noor IN. Risk factors for non-communicable diseases in Bangladesh: findings of the population-based cross-sectional national survey 2018. BMJ Open. 2020 Nov 27;10(11):e041334. doi: 10.1136/bmjopen-2020-041334. — View Citation
Roth GA, Mensah GA, Johnson CO, Addolorato G, Ammirati E, Baddour LM, Barengo NC, Beaton AZ, Benjamin EJ, Benziger CP, Bonny A, Brauer M, Brodmann M, Cahill TJ, Carapetis J, Catapano AL, Chugh SS, Cooper LT, Coresh J, Criqui M, DeCleene N, Eagle KA, Emmons-Bell S, Feigin VL, Fernandez-Sola J, Fowkes G, Gakidou E, Grundy SM, He FJ, Howard G, Hu F, Inker L, Karthikeyan G, Kassebaum N, Koroshetz W, Lavie C, Lloyd-Jones D, Lu HS, Mirijello A, Temesgen AM, Mokdad A, Moran AE, Muntner P, Narula J, Neal B, Ntsekhe M, Moraes de Oliveira G, Otto C, Owolabi M, Pratt M, Rajagopalan S, Reitsma M, Ribeiro ALP, Rigotti N, Rodgers A, Sable C, Shakil S, Sliwa-Hahnle K, Stark B, Sundstrom J, Timpel P, Tleyjeh IM, Valgimigli M, Vos T, Whelton PK, Yacoub M, Zuhlke L, Murray C, Fuster V; GBD-NHLBI-JACC Global Burden of Cardiovascular Diseases Writing Group. Global Burden of Cardiovascular Diseases and Risk Factors, 1990-2019: Update From the GBD 2019 Study. J Am Coll Cardiol. 2020 Dec 22;76(25):2982-3021. doi: 10.1016/j.jacc.2020.11.010. Erratum In: J Am Coll Cardiol. 2021 Apr 20;77(15):1958-1959. — View Citation
Sanders GD, Neumann PJ, Basu A, Brock DW, Feeny D, Krahn M, Kuntz KM, Meltzer DO, Owens DK, Prosser LA, Salomon JA, Sculpher MJ, Trikalinos TA, Russell LB, Siegel JE, Ganiats TG. Recommendations for Conduct, Methodological Practices, and Reporting of Cost-effectiveness Analyses: Second Panel on Cost-Effectiveness in Health and Medicine. JAMA. 2016 Sep 13;316(10):1093-103. doi: 10.1001/jama.2016.12195. Erratum In: JAMA. 2016 Nov 8;316(18):1924. — View Citation
Sanne I, Orrell C, Fox MP, Conradie F, Ive P, Zeinecker J, Cornell M, Heiberg C, Ingram C, Panchia R, Rassool M, Gonin R, Stevens W, Truter H, Dehlinger M, van der Horst C, McIntyre J, Wood R; CIPRA-SA Study Team. Nurse versus doctor management of HIV-infected patients receiving antiretroviral therapy (CIPRA-SA): a randomised non-inferiority trial. Lancet. 2010 Jul 3;376(9734):33-40. doi: 10.1016/S0140-6736(10)60894-X. Erratum In: Lancet. 2010 Sep 25;376(9746):1054. — View Citation
Schwalm JD, McCready T, Lopez-Jaramillo P, Yusoff K, Attaran A, Lamelas P, Camacho PA, Majid F, Bangdiwala SI, Thabane L, Islam S, McKee M, Yusuf S. A community-based comprehensive intervention to reduce cardiovascular risk in hypertension (HOPE 4): a cluster-randomised controlled trial. Lancet. 2019 Oct 5;394(10205):1231-1242. doi: 10.1016/S0140-6736(19)31949-X. Epub 2019 Sep 2. — View Citation
Schwalm JD, McKee M, Huffman MD, Yusuf S. Resource Effective Strategies to Prevent and Treat Cardiovascular Disease. Circulation. 2016 Feb 23;133(8):742-55. doi: 10.1161/CIRCULATIONAHA.115.008721. — View Citation
Schwarz D, Dhungana S, Kumar A, Acharya B, Agrawal P, Aryal A, Baum A, Choudhury N, Citrin D, Dangal B, Dhimal M, Gauchan B, Gupta T, Halliday S, Karmacharya B, Kishore S, Koirala B, Kshatriya U, Levine E, Maru S, Rimal P, Sapkota S, Schwarz R, Shrestha A, Thapa A, Maru D. An integrated intervention for chronic care management in rural Nepal: protocol of a type 2 hybrid effectiveness-implementation study. Trials. 2020 Jan 29;21(1):119. doi: 10.1186/s13063-020-4063-3. — View Citation
Song P, Gupta A, Goon IY, Hasan M, Mahmood S, Pradeepa R, Siddiqui S, Frost GS, Kusuma D, Miraldo M, Sassi F, Wareham NJ, Ahmed S, Anjana RM, Brage S, Forouhi NG, Jha S, Kasturiratne A, Katulanda P, Khawaja KI, Loh M, Mridha MK, Wickremasinghe AR, Kooner JS, Chambers JC; South Asia Biobank. Remaining authors are listed at the end of the article. Data Resource Profile: Understanding the patterns and determinants of health in South Asians-the South Asia Biobank. Int J Epidemiol. 2021 Jul 9;50(3):717-718e. doi: 10.1093/ije/dyab029. No abstract available. — View Citation
Sun H, Saeedi P, Karuranga S, Pinkepank M, Ogurtsova K, Duncan BB, Stein C, Basit A, Chan JCN, Mbanya JC, Pavkov ME, Ramachandaran A, Wild SH, James S, Herman WH, Zhang P, Bommer C, Kuo S, Boyko EJ, Magliano DJ. IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res Clin Pract. 2022 Jan;183:109119. doi: 10.1016/j.diabres.2021.109119. Epub 2021 Dec 6. Erratum In: Diabetes Res Clin Pract. 2023 Oct;204:110945. — View Citation
Xie W, Paul RR, Goon IY, Anan A, Rahim A, Hossain MM, Hersch F, Oldenburg B, Chambers J, Mridha MK. Enhancing care quality and accessibility through digital technology-supported decentralisation of hypertension and diabetes management: a proof-of-concept study in rural Bangladesh. BMJ Open. 2023 Nov 19;13(11):e073743. doi: 10.1136/bmjopen-2023-073743. — View Citation
Xu X, Lazar CM, Ruger JP. Micro-costing in health and medicine: a critical appraisal. Health Econ Rev. 2021 Jan 6;11(1):1. doi: 10.1186/s13561-020-00298-5. — View Citation
Ye J, Orji IA, Baldridge AS, Ojo TM, Shedul G, Ugwuneji EN, Egenti NB, Aluka-Omitiran K, Okoli RCB, Eze H, Nwankwo A, Hirschhorn LR, Chopra A, Ale BM, Shedul GL, Tripathi P, Kandula NR, Huffman MD, Ojji DB; Hypertension Treatment in Nigeria Program Investigators. Characteristics and Patterns of Retention in Hypertension Care in Primary Care Settings From the Hypertension Treatment in Nigeria Program. JAMA Netw Open. 2022 Sep 1;5(9):e2230025. doi: 10.1001/jamanetworkopen.2022.30025. — View Citation
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 Oct 15;174(8):984-92. doi: 10.1093/aje/kwr183. Epub 2011 Aug 12. — View Citation
Zhou B, Perel P, Mensah GA, Ezzati M. Global epidemiology, health burden and effective interventions for elevated blood pressure and hypertension. Nat Rev Cardiol. 2021 Nov;18(11):785-802. doi: 10.1038/s41569-021-00559-8. Epub 2021 May 28. — View Citation
Zou GY, Donner A. Extension of the modified Poisson regression model to prospective studies with correlated binary data. Stat Methods Med Res. 2013 Dec;22(6):661-70. doi: 10.1177/0962280211427759. Epub 2011 Nov 8. — View Citation
* Note: There are 60 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
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Primary | Hypertension and Diabetes control | The primary outcome will be the proportion of patients treated for NCDs who achieved or maintained disease-specific controlled status, according to national or WHO PEN protocols. Hypertension is considered controlled if SBP<140 mmHg and DBP<90 mmHg for most patients, and if SBP<130 mmHg and DBP<80 mmHg for patients who have comorbidities (diabetes, heart disease, stroke, chronic kidney disease) or having 10-year CVD risk = 30%. Goal for glycemic control is fasting plasma glucose 4.4-7.2 mmol/L, or random plasma glucose <11.1 mmol/L. The effectiveness will be assessed primarily using repeated independent community-based surveys. | 2 years and 9 months | |
Secondary | Hypertension and diabetes care cascade | Secondary outcomes include hypertension and diabetes care cascade (i.e. % of patients aware of their condition, % of diagnosed patients on treatment), smoking cessation among HTN/DM patients, and meeting recommended physical activity level. | 2 years and 9 months |
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