Evidence map›Paper›PMID 35760540›Full record

ArticleBMJ open2022

Cost of primary care approaches for hypertension management and risk-based cardiovascular disease prevention in Bangladesh: a HEARTS costing tool application.

Muhammad Jami Husain, Mohammad Sabbir Haider, Renesa Tarannum, Shamim Jubayer, Mahfuzur Rahman Bhuiyan, Deliana Kostova, Andrew E Moran, Sohel Reza Choudhury

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.6field-weighted citation impact, top 4% of its field
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

15 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
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  5. Economic Evaluation of the HEARTS Standardized Hypertension Treatment Program With Fixed-Dose Combination Pills in Chile Primary Care Clinics.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2025
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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

8 authors at 4 institutions in 2 countries.

Muhammad Jami HusainDivision of Global Health Protection, Centers for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA MHusain@cdc.gov.ORCID 0000-0001-6049-0505
Mohammad Sabbir HaiderDirectorate General of Health Services, Ministry of Health and Family Welfare, Dhaka, Bangladesh.ORCID 0000-0003-0013-0051
Renesa TarannumDepartment of Epidemiology and Research, National Heart Foundation Hospital & Research Institute, Dhaka, Bangladesh.
Shamim JubayerDepartment of Epidemiology and Research, National Heart Foundation Hospital & Research Institute, Dhaka, Bangladesh.ORCID 0000-0002-8595-1993
Mahfuzur Rahman BhuiyanDepartment of Epidemiology and Research, National Heart Foundation Hospital & Research Institute, Dhaka, Bangladesh.ORCID 0000-0001-6962-7264
Deliana KostovaDivision of Global Health Protection, Centers for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0003-2414-0166
Andrew E MoranResolve to Save Lives, an initiative of Vital Strategies, New York, New York, USA.
Sohel Reza ChoudhuryDepartment of Epidemiology and Research, National Heart Foundation Hospital & Research Institute, Dhaka, Bangladesh.
National Heart Foundation Hospital & Research Institute · BDCenters for Disease Control and Prevention · USDirectorate General of Health Services · BDVital Strategies · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the costs of scaling up the HEARTS pilot project for hypertension management and risk-based cardiovascular disease (CVD) prevention at the full population level in the four subdistricts (upazilas) in Bangladesh. SETTINGS: Two intervention scenarios in subdistrict health complexes: hypertension management only, and risk-based integrated hypertension, diabetes, and cholesterol management.

designData obtained during July-August 2020 from subdistrict health complexes on the cost of medications, diagnostic materials, staff salaries and other programme components.

methodsProgramme costs were assessed using the HEARTS costing tool, an Excel-based instrument to collect, track and evaluate the incremental annual costs of implementing the HEARTS programme from the health system perspective. PRIMARY AND SECONDARY OUTCOME MEASURES: Programme cost, provider time.

resultsThe total annual cost for the hypertension control programme was estimated at US$3.2 million, equivalent to US$2.8 per capita or US$8.9 per eligible patient. The largest cost share (US$1.35 million; 43%) was attributed to the cost of medications, followed by the cost of provider time to administer treatment (38%). The total annual cost of the risk-based integrated management programme was projected at US$14.4 million, entailing US$12.9 per capita or US$40.2 per eligible patient. The estimated annual costs per patient treated with medications for hypertension, diabetes and cholesterol were US$18, US$29 and US$37, respectively.

conclusionExpanding the HEARTS hypertension management and CVD prevention programme to provide services to the entire eligible population in the catchment area may face constraints in physician capacity. A task-sharing model involving shifting of select tasks from doctors to nurses and local community health workers would be essential for the eventual scale-up of primary care services to prevent CVD in Bangladesh.

Indexed as

Cardiovascular DiseasesHypertensionBangladeshHumansPilot ProjectsPrimary Health Carebangladeshhearts hypertension management and cvd prevention programprogram costscale-up of primary care services

Identifiers

PMID35760540
PMCPMC9237880
OpenAlexW4283586926

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.