Evidence map›Paper›PMID 24815075›Full record

ReviewGlobal health action2014

Supervising community health workers in low-income countries--a review of impact and implementation issues.

Zelee Hill, Mari Dumbaugh, Lorna Benton, Karin Källander, Daniel Strachan, Augustinus ten Asbroek, James Tibenderana, Betty Kirkwood, Sylvia Meek

2 registry-linked trialsAbstract readReview
In one paragraph

Review in Global health action, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 145 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed, 5 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.

NCT01972321 nacompletednot on this map

Integrated Community Case Management of Common Childhood Diseases: Mozambique and Uganda

TypeinterventionalSponsorMalaria ConsortiumRan2013 to 2015Enrolled2,289ConditionsMalaria, Pneumonia, DiarrhoeaArmsTechnology supported supervision, Community supported supervision, Integrated community case management
NCT03376607 naunknown statusnot on this mapstarted 2019, after this paper: background citation

Community- and mHealth-Based Integrated Management of Diabetes in Primary Healthcare in Rwanda: The D²Rwanda Study

TypeinterventionalSponsorUniversity of AarhusRan2019 to 2021Enrolled209ConditionsDiabetes Mellitus, Telemedicine, Community Health WorkersArmsHBCP programme, mobile health application
3 · Its place in the literature

Who cites it

145 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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85 more citing papers are in PubMed but not listed here.

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

9 authors.

Zelee HillInstitute of Global Health, University College London, London, UK; zhill.ich@gmail.com.
Mari DumbaughInstitute of Global Health, University College London, London, UK.
Lorna BentonInstitute of Global Health, University College London, London, UK.
Karin KällanderMalaria Consortium, London, UK.
Daniel StrachanInstitute of Global Health, University College London, London, UK.
Augustinus ten AsbroekDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, UK.
James TibenderanaMalaria Consortium, London, UK.
Betty KirkwoodDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Sylvia MeekMalaria Consortium, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCommunity health workers (CHWs) are an increasingly important component of health systems and programs. Despite the recognized role of supervision in ensuring CHWs are effective, supervision is often weak and under-supported. Little is known about what constitutes adequate supervision and how different supervision strategies influence performance, motivation, and retention.

objectiveTo determine the impact of supervision strategies used in low- and middle-income countries and discuss implementation and feasibility issues with a focus on CHWs.

designA search of peer-reviewed, English language articles evaluating health provider supervision strategies was conducted through November 2013. Included articles evaluated the impact of supervision in low- or middle-income countries using a controlled, pre-/post- or observational design. Implementation and feasibility literature included both peer-reviewed and gray literature.

resultsA total of 22 impact papers were identified. Papers were from a range of low- and middle-income countries addressing the supervision of a variety of health care providers. We classified interventions as testing supervision frequency, the supportive/facilitative supervision package, supervision mode (peer, group, and community), tools (self-assessment and checklists), focus (quality assurance/problem solving), and training. Outcomes included coverage, performance, and perception of quality but were not uniform across studies. Evidence suggests that improving supervision quality has a greater impact than increasing frequency of supervision alone. Supportive supervision packages, community monitoring, and quality improvement/problem-solving approaches show the most promise; however, evaluation of all strategies was weak.

conclusionFew supervision strategies have been rigorously tested and data on CHW supervision is particularly sparse. This review highlights the diversity of supervision approaches that policy makers have to choose from and, while choices should be context specific, our findings suggest that high-quality supervision that focuses on supportive approaches, community monitoring, and/or quality assurance/problem solving may be most effective.

Indexed as

Developing CountriesCommunity Health WorkersHumansOrganization and AdministrationPersonnel ManagementQuality Assurance, Health Carecommunity health workerdeveloping countryhealth workerICCMlay health workerlow-income countrysupervision

Identifiers

PMID24815075
PMCPMC4016747

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.