Evidence map›Paper›PMID 40734622›Full record

ArticlePrimary health care research & development2025

Performance of community health volunteers during the COVID-19 pandemic: assessing the enablers and challenges in Machakos County, Kenya.

Ann Wanyaga Mwaniki, John Muge Nyaboga, Ezekiel Onyonka Mecha, Boniface Oyugi

Abstract read
In one paragraph

Article in Primary health care research & development, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ann Wanyaga MwanikiCounty Government of Machakos, Department of Health Services, County Government of Machakos, Machakos Highway, P.O Box 2574-90100, Machakos, Kenya.
John Muge NyabogaCounty Government of Machakos, Department of Health Services, County Government of Machakos, Machakos Highway, P.O Box 2574-90100, Machakos, Kenya.ORCID 0009-0003-7798-8475
Ezekiel Onyonka MechaDepartment of Biochemistry, University of Nairobi, 30197-00100, Nairobi, Kenya.
Boniface OyugiM and E Advisory Group, P.O. Box 6523-00200, Western Heights, The Mint Nairobi, Kenya.ORCID 0000-0002-9550-9138

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study explored the enablers and challenges influencing the performance of community health volunteers (CHVs) in Machakos County, Kenya, during the COVID-19 pandemic.

backgroundThe COVID-19 pandemic disrupted healthcare systems globally, with particularly severe impacts in developing countries. Community health workers (CHWs) played a critical role in crisis communication, community engagement, case detection, referrals, and maintaining care continuity. However, limited evidence exists on the factors enabling and hindering their performance during the pandemic.

methodsThis study employed a convergent mixed-methods design, integrating focus group discussions (FGDs), in-depth interviews (IDIs), and structured data extraction from the Kenya Health Information System (KHIS). Analysis of the data was guided by Agarwal et al.'s conceptual framework for measuring community health workforce performance with the quantitative data being analyzed using descriptive statistics, while qualitative data being analyzed through thematic analysis.

findingsCHVs effectively disseminated COVID-19 information, addressed vaccine hesitancy, and mobilized communities, supported by training, supervision, and community recognition. Their efforts led to significant improvements in healthcare services, including increased household visits, immunizations, and maternal health referrals. Despite their contributions, CHVs faced challenges such as delayed stipends, limited resources, and occasional community stigma, which hindered performance. Social support networks, community appreciation, and priority healthcare access emerged as key enablers, fostering resilience and motivation. Improved reporting mechanisms also highlighted CHVs' expanded roles during the pandemic.

conclusionThis study underscores the critical role of CHVs in sustaining healthcare services during the COVID-19 pandemic, despite facing financial, logistical, and social barriers. Their resilience and adaptability led to significant improvements in key health services, supported by effective supervision and training. Strengthening systemic support, integrating CHVs into long-term strategies, and enhancing community recognition are essential to maximize their impact in future health challenges.

Indexed as

Community Health WorkersCOVID-19VolunteersAdultFemaleFocus GroupsHumansKenyaMalePandemicsQualitative ResearchSARS-CoV-2Challengescommunity health volunteersCOVID-19 pandemicenablersKenya

Identifiers

PMID40734622
PMCPMC12455361

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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.