Evidence map›Paper›PMID 30105093›Full record

ArticleBMJ global health2018

Prevalence, incidence and predictors of volunteer community health worker attrition in Kwale County, Kenya.

Anthony K Ngugi, Lucy W Nyaga, Amyn Lakhani, Felix Agoi, Margrette Hanselman, George Lugogo, Kala M Mehta

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
6.2field-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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 47 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Anthony K NgugiCentre for Population Health Sciences, Faculty of Health Sciences, Aga Khan University (EA), Nairobi, Kenya.
Lucy W NyagaCentre for Population Health Sciences, Faculty of Health Sciences, Aga Khan University (EA), Nairobi, Kenya.
Amyn LakhaniCentre for Population Health Sciences, Faculty of Health Sciences, Aga Khan University (EA), Nairobi, Kenya.
Felix AgoiCentre for Population Health Sciences, Faculty of Health Sciences, Aga Khan University (EA), Nairobi, Kenya.
Margrette HanselmanCentre for Population Health Sciences, Faculty of Health Sciences, Aga Khan University (EA), Nairobi, Kenya.
George LugogoLungalunga Sub-county Public Health Office, Lungalunga Sub-county, Kwale County, Kenya.
Kala M MehtaDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.
Aga Khan University Nairobi · KEUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn underserved populations, the contribution of community health workers (CHWs) is vital to the healthcare systems. Attrition of these workers causes critical breakdowns in the delivery of essential services to these populations. Literature on reasons for attrition is limited, although some have been identified in studies on sustainability of CHW programmes. These factors are, however, likely to be influenced by context. We measured CHW attrition and its predictors in a rural area in Kenya.

methodsWe conducted a nested case-control study and focus group discussions among CHWs involved in a maternal and child health project. A training register of 1005 CHWs was used to sample and follow CHWs for attrition. Incidence of CHW attrition was calculated using a Poisson model. Separately, we used logistic regression to determine predictors of CHW attrition.

resultsOf the 1005 CHWs, 498 (49.6%) had left the project by the time of the study. The incidence of attrition was 46.8/1000 person-years (95% CI 38.7 to 56.5). In the case-control study, lack of interest in peer organisation membership (OR 5.3; 95% CI 1.3 to 20.6) was associated with attrition. Absence of refresher training (OR 4.0; 95% CI 2.2 to 7.1) and receiving no feedback from supervisors (OR 2.0; 95% CI 1.0 to 3.9) were also associated with attrition. Discordance in expectations and perceived heavy workload were also identified as key reasons for attrition in the qualitative study.

conclusionThis study estimates high prevalence and incidence of CHW attrition in Kwale County, Kenya. Ongoing training, feedback and peer support are also important in enhancing retention of CHWs. Additionally, expectations regarding the roles and benefits of involvement in CHW work should be communicated clearly, and workload should be kept reasonable or negotiated with the CHWs.

Indexed as

case-control studyhealth systemspublic health

Identifiers

PMID30105093
PMCPMC6074629
OpenAlexW2885735828

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.