Evidence map›Paper›PMID 33727321›Full record

ArticleGlobal health, science and practice2021

Applying the Community Health Worker Coverage and Capacity Tool for Time-Use Modeling for Program Planning in Rwanda and Zanzibar.

Melanie Morrow, Eric Sarriot, Allyson R Nelson, Felix Sayinzoga, Beatrice Mukamana, Evariste Kayitare, Halima Khamis, Omar Abdalla, William Winfrey

Abstract read
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Article in Global health, science and practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

9 authors.

Melanie MorrowICF, Rockville, MD, USA. melanie.morrow@icf.com.
Eric SarriotSave the Children, Washington DC, USA; now with Gavi, the Vaccine Alliance, Geneva, Switzerland.
Allyson R NelsonD-tree International, Zanzibar, Tanzania.
Felix SayinzogaMaternal Child and Community Health Division, Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda.
Beatrice MukamanaMaternal Child and Community Health Division, Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda.
Evariste KayitareMaternal Child and Community Health Division, Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda.
Halima KhamisHealth Promotion Unit, Ministry of Health, Revolutionary Government of Zanzibar, Zanzibar, Tanzania.
Omar AbdallaD-tree International, Zanzibar, Tanzania.
William WinfreyAvenir Health, Glastonbury, CT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Community health worker (CHW) programs are a critical component of health systems, notably in lower- and middle-income countries. However, when policy recommendations exceed what is feasible to implement, CHWs are overstretched by the volume of activities, implementation strength is diluted, and programs fail to produce promised outcomes. To counteract this, we developed a time-use modeling tool-the CHW Coverage and Capacity (C3) Tool-and used it with government partners in Rwanda and Zanzibar to address common policy questions related to CHW needs, coverage, and time optimization.In Rwanda, the C3 Tool was used to analyze 2 well-established cadres of CHWs and 1 new one. The well-established CHW cadres were within a "manageable" workload range whereas the new cadre was projected to achieve less than half of assigned activities. This is informing ongoing changes to the CHWs' scopes of work. In Zanzibar, the C3 Tool was used to update the national community health strategy to include community health volunteers (CHVs) for the first time and determine how many CHVs were needed. The tool projected that 2,200 CHVs could achieve approximately 90% coverage of all defined services. Based on these figures, Zanzibar updated its national community health strategy, which officially launched in February 2020.We discuss lessons from these 2 experiences. Translating analysis into decision making depends not only on the programmatic will and motivation of governments but also on finding opportune timing for when policy and program processes allow for optimization of CHW investments. Further research is needed but our experience supports the value of a modeling tool to ground program plans within estimated constraints on CHW time.

Indexed as

Community Health WorkersMotivationHumansRwandaTanzaniaVolunteers

Identifiers

PMID33727321
PMCPMC7971371

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Registered trials

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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.