Evidence map›Paper›PMID 35589152›Full record

ArticleBMJ global health2022

Optimising scale and deployment of community health workers in Sierra Leone: a geospatial analysis.

Nicholas Paul Oliphant, Nicolas Ray, Andrew Curtis, Elizabeth Musa, Momodu Sesay, Joseph Kandeh, Anitta Kamara, Kebir Hassen, Shane O'Connor, Yuki Suehiro and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Improving Primary Healthcare: Applying Grapevine (Healthcare (Basel, Switzerland) · 2026
    Article
  2. Conceptualising hardship areas in Sub-Saharan Africa: a scoping review.International journal for equity in health · 2025
    Article
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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

14 authors at 6 institutions in 4 countries.

Nicholas Paul OliphantUniversity of the Western Cape, School of Public Health, Bellville, South Africa npoliphant@gmail.com.ORCID 0000-0001-8519-354X
Nicolas RayGeohealth Group, University of Geneva, Institute of Global Health, Geneva, Switzerland.ORCID 0000-0002-4696-5313
Andrew CurtisGeohealth Group, University of Geneva, Institute of Global Health, Geneva, Switzerland.
Elizabeth MusaCHW Hub, Directorate of Primary Health Care, Ministry of Health and Sanitation, Freetown, Sierra Leone.
Momodu SesayDirectorate of Primary Health Care, Ministry of Health and Sanitation, Freetown, Sierra Leone.
Joseph KandehDirectorate of Primary Health Care, Ministry of Health and Sanitation, Freetown, Sierra Leone.
Anitta KamaraNational Malaria Control Program, Ministry of Health and Sanitation, Freetown, Sierra Leone.
Kebir HassenUNICEF Sierra Leone, Freetown, Sierra Leone.
Shane O'ConnorUNICEF Sierra Leone, Freetown, Sierra Leone.
Yuki SuehiroUNICEF Sierra Leone, Freetown, Sierra Leone.
Hailemariam LegesseUNICEF Sierra Leone, Freetown, Sierra Leone.
Ebeny Francois Temgbait ChimounThe Global Fund to Fight AIDS, Tuberculosis, and Malaria, Geneva, Switzerland.
Debra JacksonUniversity of the Western Cape, School of Public Health, Bellville, South Africa.ORCID 0000-0003-3307-632X
Tanya DohertyUniversity of the Western Cape, School of Public Health, Bellville, South Africa.ORCID 0000-0003-1592-0080
Ministry of Health and Sanitation · SLUniversity of Sierra Leone · SLGlobal Fund to Fight AIDS, Tuberculosis and Malaria · CHUniversity of Geneva · CHLondon School of Hygiene & Tropical Medicine · GBSouth African Medical Research Council · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLittle is known about strategies for optimising the scale and deployment of community health workers (CHWs) to maximise geographic accessibility of primary healthcare services.

methodsWe used data from a national georeferenced census of CHWs and other spatial datasets in Sierra Leone to undertake a geospatial analysis exploring optimisation of the scale and deployment of CHWs, with the aim of informing implementation of current CHW policy and future plans of the Ministry of Health and Sanitation.

resultsThe per cent of the population within 30 min walking to the nearest CHW with preservice training increased from 16.1% to 80.4% between 2000 and 2015. Contrary to current national policy, most of this increase occurred in areas within 3 km of a health facility where nearly two-thirds (64.5%) of CHWs were deployed. Ministry of Health and Sanitation-defined 'easy-to-reach' and 'hard-to-reach' areas, geographic areas that should be targeted for CHW deployment, were less well covered, with 19.2% and 34.6% of the population in 2015 beyond a 30 min walk to a CHW, respectively. Optimised CHW networks in these areas were more efficiently deployed than existing networks by 22.4%-71.9%, depending on targeting metric. INTERPRETATIONS: Our analysis supports the Ministry of Health and Sanitation plan to rightsize and retarget the CHW workforce. Other countries in sub-Saharan Africa interested in optimising the scale and deployment of their CHW workforce in the context of broader human resources for health and health sector planning may look to Sierra Leone as an exemplar model from which to learn.

Indexed as

Community Health WorkersAfrica South of the SaharaHumansSierra Leonechild healthhealth policyhealth systemsmalariapublic health

Identifiers

PMID35589152
PMCPMC9121426
OpenAlexW4280601218

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.