Evidence map›Paper›PMID 30198284›Full record

ArticleAfrican journal of primary health care & family medicine2018

Factors associated with retention of community health workers in maternal, newborn and child health programme in Simiyu Region, Tanzania.

David P Ngilangwa, George S Mgomella

Abstract read
In one paragraph

Article in African journal of primary health care & family medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

2 authors.

David P NgilangwaAmref Health Africa, Dar es Salaam. dngilangwa@yahoo.com.
George S Mgomella

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAttrition of community health workers (CHWs) continues to threaten the full realisation and sustainability of community-based health programmes globally. Aim: This study aimed to understand factors associated with CHWs' recruitment and their retention. Setting: This study was conducted in five districts of the Simiyu Region, namely, Bariadi, Busega, Itilima, Maswa and Meatu in north-western Tanzania. Methods: In this cross-sectional study design, 341 CHWs who were working with the maternal health programme were randomly selected. Semi-structured questionnaires were administered to all participants. Data were descriptively and inferentially analysed using SPSS version 20. Results: Majority (58.0%) of CHWs were below 35 years. Over half (53.1%) had completed primary education only. Motivation factors for being CHW were aspiration to serve the community and desire for further training to become a qualified medical practitioner. Community recognition and financial incentives were among the key retention reasons for the CHWs. Being married (odds ratio [OR] 5.9, 95% confidence interval [CI] 1.7-20.1) having prior volunteer experience (OR 10.5 95% CI 12.7-40.5) and prior employment OR 21.8 (CI 12.2-38.9) were positively associated with retention of CHWs, while being a female was negatively associated with retention OR 0.4 (CI 0.2-0.8). Conclusions: Both financial and non-financial incentives were critical in contributing to the retention of CHWs. Thus, health programmes should carefully select CHWs by understanding their motives beforehand, and provide them with incentives.

Indexed as

Child Health ServicesCommunity Health WorkersMaternal Health ServicesPersonnel TurnoverAdolescentAdultChildFemaleHumansMaleMiddle AgedPersonnel SelectionSurveys and QuestionnairesTanzaniaWorkforceYoung AdultattritionCommunity health workersmaternalrecruitmentretentionTanzania

Identifiers

PMID30198284
PMCPMC6131709

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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.