Evidence map›Paper›PMID 41628356›Full record

ArticleJMIR research protocols2026

Addressing Gaps in the Hypertension and Diabetes Care Continuum in Rural Bangladesh Through Digital Technology Supported Decentralized Primary Care: Study Protocol and Baseline Results for a Hybrid Effectiveness-Implementation Trial.

Wubin Xie, Sabrina Ahmed, Ali Ahsan, Ananya Gupta, Anais Masako Keenan, Tanmoy Sarker, Fahmida Akter, Aysha Anan, Md Mokbul Hossain, Zahidul Quayyum and 11 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Wubin XiePopulation and Global Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-1089-5149
Sabrina AhmedDepartment of Public Health, North South University, Dhaka, Bangladesh.ORCID 0000-0001-6256-1389
Ali AhsanCentre for Non-communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, 65, Bir Uttam AK Khandakar Road, Mohakhali, Dhaka, Bangladesh, 880 248812213 ext 18.ORCID 0009-0002-0934-4136
Ananya GuptaPopulation and Global Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0003-0595-4922
Anais Masako KeenanAustralian Institute of Family Studies, Melbourne, Australia.ORCID 0009-0007-3981-2179
Tanmoy SarkerCentre for Non-communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, 65, Bir Uttam AK Khandakar Road, Mohakhali, Dhaka, Bangladesh, 880 248812213 ext 18.ORCID 0009-0007-0066-6418
Fahmida AkterCentre for Non-communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, 65, Bir Uttam AK Khandakar Road, Mohakhali, Dhaka, Bangladesh, 880 248812213 ext 18.ORCID 0000-0001-9294-265X
Aysha AnanCentre for Non-communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, 65, Bir Uttam AK Khandakar Road, Mohakhali, Dhaka, Bangladesh, 880 248812213 ext 18.ORCID 0009-0009-4197-9669
Md Mokbul HossainCentre for Non-communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, 65, Bir Uttam AK Khandakar Road, Mohakhali, Dhaka, Bangladesh, 880 248812213 ext 18.ORCID 0000-0002-8058-4776
Zahidul QuayyumBRAC James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh.ORCID 0000-0002-2276-4576
Ahm Enayet HussainNon-Communicable Disease Control, Directorate General of Health Services, Dhaka, Bangladesh.ORCID 0000-0003-2715-5574
Robed AminNon-Communicable Disease Control, Directorate General of Health Services, Dhaka, Bangladesh.ORCID 0000-0002-5500-5103
Imran Ahmed ChowdhuryBRAC Health Programme, BRAC, Dhaka, Bangladesh.ORCID 0000-0002-9752-8754
Mithila FaruqueDepartment of Noncommunicable Diseases, Bangladesh University of Health Sciences, Dhaka, Bangladesh.ORCID 0000-0002-4731-2824
Sohel Reza ChoudhuryDepartment of Epidemiology and Research, National Heart Foundation Hospital and Research Institute, Dhaka, Bangladesh.ORCID 0000-0002-7498-4634
Ian Y GoonBaker Heart and Diabetes Institute, Melbourne, Australia.ORCID 0000-0002-9702-8653
Fred HerschGoogle Health, Palo Alto, CA, United States.ORCID 0000-0001-9075-6394
Lora L SabinDepartment of Global Health, School of Public Health, Boston University, Boston, MA, United States.ORCID 0000-0002-2782-542X
Brian OldenburgBaker Heart and Diabetes Institute, Melbourne, Australia.ORCID 0000-0002-7712-5413
John ChambersPopulation and Global Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0003-0209-4541
Malay Kanti MridhaCentre for Non-communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, 65, Bir Uttam AK Khandakar Road, Mohakhali, Dhaka, Bangladesh, 880 248812213 ext 18.ORCID 0000-0001-9226-457X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypertension and diabetes are very common, interrelated chronic conditions. Awareness, diagnosis, treatment, and control rates of these conditions remain low, and access to quality care-particularly in rural areas-is a persistent challenge in many low- and middle-income countries. Strengthening primary health care, including the use of digital tools, is important to improve management of these chronic conditions. Objective: This study aims to assess the implementation and effectiveness of a multicomponent, decentralized primary care model in comparison with a digital health-only intervention and usual care in rural Bangladesh. Methods: The study applies a type 2 hybrid effectiveness-implementation design, using a 3-arm quasi-experimental approach, comprising 2 intervention arms and 1 usual care comparison arm. The study is being conducted across 3 subdistricts in the Dinajpur district, Rangpur division, northern Bangladesh. Primary outcomes include blood pressure and blood glucose control rates, assessed by population-based repeated cross-sectional surveys with independent samples, supplemented by facility-based prospective cohort data. Additionally, a mixed methods process evaluation is being conducted to capture the quantity, fidelity, adaptations, reach, and context of the interventions. Results: The baseline community survey was conducted between January and March 2024, enrolling 6849 participants distributed across 3 arms: 2262 in usual care, 2287 in the digital-only arm, and 2300 in the multicomponent intervention arm. Participants had a mean age of 55.9 (SD 10.6) years with equal sex distribution (female: 3432/6849, 50.1%). Educational attainment was low, with 39.5% (2704/6849) of participants having no formal schooling and only 12.1% (917/6849) attaining secondary or higher education. The majority (6316/6849, 92.2%) reported being either self-employed or homemakers. The age-standardized baseline blood pressure control rate among all participants with hypertension was 10.2% overall, while the glycemic control rate among those with diabetes was 14.9%. Awareness and treatment rates for hypertension were 35.3% and 23.0%, respectively, compared to 60.7% and 34.5% for diabetes. Conclusions: The study findings will provide critical evidence on scalable models for decentralized noncommunicable disease care and will have important implications for improving the management of hypertension and diabetes in Bangladesh and similar low-resource settings globally.

Indexed as

Diabetes MellitusDigital TechnologyHypertensionPrimary Health CareAdherence InterventionsBangladeshCross-Sectional StudiesDigital HealthFemaleHumansMaleProspective StudiesRural PopulationBangladeshdecentralizationdiabeteshypertensionSimple apptask shifting

Identifiers

PMID41628356
PMCPMC12863458

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.