Evidence map›Paper›PMID 35279166›Full record

ArticleHuman resources for health2022

What makes community health worker models for tuberculosis active case finding work? A cross-sectional study of TB REACH projects to identify success factors for increasing case notifications.

Thu A Dam, Rachel J Forse, Phuong M T Tran, Luan N Q Vo, Andrew J Codlin, Lan P Nguyen, Jacob Creswell

Abstract read
In one paragraph

Article in Human resources for health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Reimagining tuberculosis detection in Somalia: from passive to active case finding.Journal of clinical tuberculosis and other mycobacterial diseases · 2026
    Article
  3. Article
  4. Article
  5. Review
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  12. Engagement and Preparedness of Urban Accredited Social Health Activists (U-ASHAs) for Delivery of Tuberculosis (TB) Care: Findings From two Cities in Maharashtra, India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

7 authors.

Thu A DamFriends for International TB Relief, 1/21 Le Van Luong St., Nhan Chinh Ward, Thanh Xuan District, Hanoi, Vietnam.
Rachel J ForseFriends for International TB Relief, 1/21 Le Van Luong St., Nhan Chinh Ward, Thanh Xuan District, Hanoi, Vietnam. rachel.forse@tbhelp.org.ORCID 0000-0002-0716-3342
Phuong M T TranFriends for International TB Relief, 1/21 Le Van Luong St., Nhan Chinh Ward, Thanh Xuan District, Hanoi, Vietnam.
Luan N Q VoFriends for International TB Relief, 1/21 Le Van Luong St., Nhan Chinh Ward, Thanh Xuan District, Hanoi, Vietnam.
Andrew J CodlinFriends for International TB Relief, 1/21 Le Van Luong St., Nhan Chinh Ward, Thanh Xuan District, Hanoi, Vietnam.
Lan P NguyenCentre for Development of Community Health Initiatives, 1/21 Le Van Luong St., Nhan Chin Ward, Thanh Xuan District, Hanoi, Vietnam.
Jacob CreswellStop TB Partnership, Chemin du Pommier 40, 1218 Le Grand-Saconnex, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the field of tuberculosis (TB), Community Healthcare Workers (CHWs) have been engaged for advocacy, case detection, and patient support in a wide range of settings. Estimates predict large-scale shortfalls of healthcare workers in low- and middle-income settings by 2030 and strategies are needed to optimize the health workforce to achieve universal availability and accessibility of healthcare. In 2018, the World Health Organization (WHO) published guidelines on best practices for CHW engagement, and identified remaining knowledge gaps. Stop TB Partnership's TB REACH initiative has supported interventions using CHWs to deliver TB care in over 30 countries, and utilized the same primary indicator to measure project impact at the population-level for all TB active case finding projects, which makes the results comparable across multiple settings. This study compiled 10 years of implementation data from the initiative's grantee network to begin to address key knowledge gaps in CHW networks.

methodsWe conducted a cross-sectional study analyzing the TB REACH data repository (n = 123) and primary survey responses (n = 50) of project implementers. We designed a survey based on WHO guidelines to understand projects' practices on CHW recruitment, training, activities, supervision, compensation, and sustainability. We segmented projects by TB notification impact and fitted linear random-effect regression models to identify practices associated with higher changes in notifications.

resultsMost projects employed CHWs for advocacy alongside case finding and holding activities. Model characteristics associated with higher project impact included incorporating e-learning in training and having the prospect of CHWs continuing their responsibilities at the close of a project. Factors that trended towards being associated with higher impact were community-based training, differentiated contracts, and non-monetary incentives.

conclusionIn line with WHO guidelines, our findings emphasize that successful implementation approaches provide CHWs with comprehensive training, continuous supervision, fair compensation, and are integrated within the existing primary healthcare system. However, we encountered a great degree of heterogeneity in CHW engagement models, resulting in few practices clearly associated with higher notifications.

Indexed as

Community Health WorkersTuberculosisCommunity Health ServicesCross-Sectional StudiesHumansMotivationActive case findingCommunity healthcare workersImpact evaluationTB REACHTuberculosis

Identifiers

PMID35279166
PMCPMC8917377

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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.