Evidence map›Paper›PMID 32819939›Full record

ArticleBMJ open2020

Household coverage, quality and costs of care provided by community health worker teams and the determining factors: findings from a mixed methods study in South Africa.

Jane Goudge, Julia de Kadt, Olukemi Babalola, Michel Muteba, Yu-Hwei Tseng, Hlologelo Malatji, Teurai Rwafa, Nonhlanhla Nxumalo, Jonathan Levin, Margaret Thorogood and 3 more

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Review
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  9. Observational
  10. Costs of seasonal influenza vaccination in South Africa.Influenza and other respiratory viruses · 2022
    Review
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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

13 authors.

Jane GoudgeCentre for Health Policy, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa Jane.goudge@gmail.com.ORCID 0000-0001-6555-7510
Julia de KadtCentre for Health Policy, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Olukemi BabalolaCentre for Health Policy, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Michel MutebaSchool of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Yu-Hwei TsengCentre for Health Policy, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Hlologelo MalatjiCentre for Health Policy, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Teurai RwafaCentre for Health Policy, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Nonhlanhla NxumaloCentre for Health Policy, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Jonathan LevinSchool of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Margaret ThorogoodMedical School, University of Warwick, Warwick, UK.
Emmanuelle DaviaudHealth Systems, South African Medical Research Council, Tygerberg, South Africa.
Jocelyn WatkinsMedical School, University of Warwick, Warwick, UK.
Frances GriffithsMedical School, University of Warwick, Warwick, UK.ORCID 0000-0002-4173-1438

Funding

Medical Research Council MR/N015908/1Medical Research Council UKWellcome Trust
6 · The paper itself

Abstract

objectiveCommunity health workers (CHWs) are undertaking more complex tasks as part of the move towards universal health coverage in South Africa. CHW programmes can improve access to care for vulnerable communities, but many such programmes struggle with insufficient supervision. In this paper, we assess coverage (proportion of households visited by a CHW in the past year and month), quality of care and costs of the service provided by CHW teams with differing configurations of supervisors, some based in formal clinics and some in community health posts.

participantsCHW, their supervisors, clinic staff, CHW clients.

methodsWe used mixed methods (a random household survey, focus group discussions, interviews and observations of the CHW at work) to examine the performance of six CHW teams in vulnerable communities in Sedibeng, South Africa.

resultsA CHW had visited 17% of households in the last year, and we estimated they were conducting one to two visits per day. At household registration visits, the CHW asked half of the questions required. Respondents remembered 20%-25% of the health messages that CHW delivered from a visit in the last month, and half of the respondents took the action recommended by the CHW. Training, supervision and motivation of the CHW, and collaboration with other clinic staff, were better with a senior nurse supervisor. We estimated that if CHW carried out four visits a day, coverage would increase to 30%-90% of households, suggesting that some teams need more CHW, as well as better supervision.

conclusionHousehold coverage was low, and the service was limited. Support from the local facility was key to providing a quality service, and a senior supervisor facilitated this collaboration. Greater investment in numbers of CHW, supervisors, training and equipment is required for the potential benefits of the programme to be delivered.

Indexed as

Community Health WorkersMotivationFamily CharacteristicsFocus GroupsHumansSouth Africahuman resource managementorganisation of health servicesquality in health care

Identifiers

PMID32819939
PMCPMC7440700

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.