Evidence map›Paper›PMID 36962155›Full record

ArticlePLOS global public health2022

Improving access to care and community health in Haiti with optimized community health worker placement.

Clara Champagne, Andrew Sunil Rajkumar, Paul Auxila, Giulia Perrone, Marvin Plötz, Alyssa Young, Samuel Bazaz Jazayeri, Harriet G Napier, Arnaud Le Menach, Katherine Battle and 5 more

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Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

15 authors.

Clara ChampagneDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.ORCID https://orcid.org/0000-0002-0369-6758
Andrew Sunil RajkumarWorld Bank, Washington, DC, United States of America.
Paul AuxilaGlobal Financing Facility, Port-au-Prince, Haiti.
Giulia PerroneGlobal Fund, Geneva, Switzerland.
Marvin PlötzWorld Bank, Washington, DC, United States of America.
Alyssa YoungClinton Health Access Initiative, Port-au-Prince, Haiti.
Samuel Bazaz JazayeriDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.
Harriet G NapierClinton Health Access Initiative, Boston, MA, United States of America.ORCID https://orcid.org/0000-0001-8788-6796
Arnaud Le MenachClinton Health Access Initiative, Boston, MA, United States of America.
Katherine BattleInstitute for Disease Modeling, Seattle, WA, United States of America.
Punam AmratiaTelethon Kids Institute, Perth, Australia.ORCID https://orcid.org/0000-0002-5128-3288
Ewan CameronTelethon Kids Institute, Perth, Australia.
Jean-Patrick AlfredMinistère de la santé publique et de la population, Port-au-Prince, Haiti.
Yves-Gaston DeslouchesMinistère de la santé publique et de la population, Port-au-Prince, Haiti.
Emilie PothinDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The national deployment of polyvalent community health workers (CHWs) is a constitutive part of the strategy initiated by the Ministry of Health to accelerate efforts towards universal health coverage in Haiti. Its implementation requires the planning of future recruitment and deployment activities for which mathematical modelling tools can provide useful support by exploring optimised placement scenarios based on access to care and population distribution. We combined existing gridded estimates of population and travel times with optimisation methods to derive theoretical CHW geographical placement scenarios including constraints on walking time and the number of people served per CHW. Four national-scale scenarios that align with total numbers of existing CHWs and that ensure that the walking time for each CHW does not exceed a predefined threshold are compared. The first scenario accounts for population distribution in rural and urban areas only, while the other three also incorporate in different ways the proximity of existing health centres. Comparing these scenarios to the current distribution, insufficient number of CHWs is systematically identified in several departments and gaps in access to health care are identified within all departments. These results highlight current suboptimal distribution of CHWs and emphasize the need to consider an optimal (re-)allocation.

Identifiers

PMID36962155
PMCPMC10022239

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Textfull text, public
LicenceCC BY
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measurements read28
identifiers read5
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.