Evidence map›Paper›PMID 39854581›Full record

ArticlePLoS medicine2025

Cost-effectiveness of leveraging existing HIV primary health systems and community health workers for hypertension screening and treatment in Africa: An individual-based modeling study.

Matthew D Hickey, James Ayieko, Jane Kabami, Asiphas Owaraganise, Elijah Kakande, Sabina Ogachi, Colette I Aoko, Erick M Wafula, Norton Sang, Helen Sunday and 9 more

Abstract read
In one paragraph

Article in PLoS medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Matthew D HickeyDivision of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, California, United States of America.ORCID https://orcid.org/0000-0001-8913-1602
James AyiekoKenya Medical Research Institute, Nairobi, Kenya.
Jane KabamiInfectious Diseases Research Collaboration, Kampala, Uganda.ORCID https://orcid.org/0000-0002-0265-3174
Asiphas OwaraganiseInfectious Diseases Research Collaboration, Kampala, Uganda.ORCID https://orcid.org/0000-0002-5594-0310
Elijah KakandeInfectious Diseases Research Collaboration, Kampala, Uganda.ORCID https://orcid.org/0000-0001-9532-5710
Sabina OgachiKenya Medical Research Institute, Nairobi, Kenya.
Colette I AokoKenya Medical Research Institute, Nairobi, Kenya.
Erick M WafulaKenya Medical Research Institute, Nairobi, Kenya.
Norton SangKenya Medical Research Institute, Nairobi, Kenya.
Helen SundayInfectious Diseases Research Collaboration, Kampala, Uganda.
Paul RevillCentre for Health Economics, University of York, York, United Kingdom.ORCID https://orcid.org/0000-0001-8632-0600
Loveleen Bansi-MatharuInstitute for Global Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-0233-7622
Starley B ShadeDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America.ORCID https://orcid.org/0000-0001-8172-4649
Gabriel ChamieDivision of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, California, United States of America.
Laura B BalzerSchool of Public Health, University of California, Berkeley, Berkeley, California, United States of America.ORCID https://orcid.org/0000-0002-3730-410X
Maya L PetersenSchool of Public Health, University of California, Berkeley, Berkeley, California, United States of America.ORCID https://orcid.org/0000-0002-5505-153X
Diane V HavlirDivision of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, California, United States of America.
Moses R KamyaInfectious Diseases Research Collaboration, Kampala, Uganda.ORCID https://orcid.org/0000-0001-9106-4234
Andrew N PhillipsInstitute for Global Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-2384-4807

Funding

A Multisectoral Strategy to Address Persistent Drivers of the HIV Epidemic in East AfricaU01AI150510 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAVLIR, DIANE V, KAMYA, MOSES ROBERT · 2020 to 2025
$23.4M
Implementation Strategies to Improve Hypertension Treatment in KenyaK23HL162578 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Matthew Hickey · 2022 to 2026
$944k
NHLBI NIH HHS K23 HL162578NIAID NIH HHS U01 AI150510
6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) morbidity and mortality is increasing in Africa, largely due to undiagnosed and untreated hypertension. Approaches that leverage existing primary health systems could improve hypertension treatment and reduce CVD, but cost-effectiveness is unknown. We evaluated the cost-effectiveness of population-level hypertension screening and implementation of chronic care clinics across eastern, southern, central, and western Africa. METHODS AND

findingsWe conducted a modeling study to simulate hypertension and CVD across 3,000 scenarios representing a range of settings across eastern, southern, central, and western Africa. We evaluated 2 policies compared to current hypertension treatment: (1) expansion of HIV primary care clinics into chronic care clinics that provide hypertension treatment for all persons regardless of HIV status (chronic care clinic or CCC policy); and (2) CCC plus population-level hypertension screening of adults ≥40 years of age by community health workers (CHW policy). For our primary analysis, we used a cost-effectiveness threshold of US $500 per disability-adjusted life-year (DALY) averted, a 3% annual discount rate, and a 50-year time horizon. A strategy was considered cost-effective if it led to the lowest net DALYs, which is a measure of DALY burden that takes account of the DALY implications of the cost for a given cost-effectiveness threshold. Among adults 45 to 64 years, CCC implementation would improve population-level hypertension control (the proportion of people with hypertension whose blood pressure is controlled) from mean 4% (90% range 1% to 7%) to 14% (6% to 26%); additional CHW screening would improve control to 44% (35% to 54%). Among all adults, CCC implementation would reduce ischemic heart disease (IHD) incidence by 10% (3% to 17%), strokes by 13% (5% to 23%), and CVD mortality by 9% (3% to 15%). CCC plus CHW screening would reduce IHD by 28% (19% to 36%), strokes by 36% (25% to 47%), and CVD mortality by 25% (17% to 34%). CHW screening was cost-effective in 62% of scenarios, CCC in 31%, and neither policy was cost-effective in 7% of scenarios. Pooling across setting-scenarios, incremental cost-effectiveness ratios were $69/DALY averted for CCC and $389/DALY averted adding CHW screening to CCC.

conclusionsLeveraging existing healthcare infrastructure to implement population-level hypertension screening by CHWs and hypertension treatment through integrated chronic care clinics is expected to reduce CVD morbidity and mortality and is likely to be cost-effective in most settings across Africa.

Indexed as

Community Health WorkersHIV InfectionsHypertensionMass ScreeningPrimary Health CareAdultAfricaCost-Benefit AnalysisFemaleHumansMaleMiddle AgedQuality-Adjusted Life Years

Identifiers

PMID39854581
PMCPMC11805449

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.