Evidence map›Paper›PMID 39953777›Full record

ArticleHealth policy and planning2025

Community health worker payment processes: a qualitative assessment of experiences in two Indian states.

Kheya Melo Furtado, Abha Mehndiratta, Sebastian Bauhoff, Swapna Pawar, Amy Luo, Anushree Jha, Margaret McConnell

Abstract read
In one paragraph

Article in Health policy and planning, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Kheya Melo FurtadoGoa Institute of Management, Poriem, Sattari, Goa 403505, India.ORCID 0000-0003-0814-6947
Abha MehndirattaGoa Institute of Management, Poriem, Sattari, Goa 403505, India.ORCID 0000-0003-3045-1649
Sebastian BauhoffHarvard University T.H. Chan School of Public Health, Boston, MA 02115, United States.ORCID 0000-0001-6017-4991
Swapna PawarGoa Institute of Management, Poriem, Sattari, Goa 403505, India.
Amy LuoJohns Hopkins Bloomberg School of Public Health, Baltimore, MD 21218, United States.
Anushree JhaGoa Institute of Management, Poriem, Sattari, Goa 403505, India.
Margaret McConnellHarvard University T.H. Chan School of Public Health, Boston, MA 02115, United States.ORCID 0000-0002-3437-3249

Funding

Integrating data for causal inference in behavioral healthT32MH122357 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Rashelle Jean Musci, Elizabeth A. Stuart · 2020 to 2026
$1.8M
Gates Foundation INV-003866NIMH NIH HHS T32 MH122357
6 · The paper itself

Abstract

Community health worker (CHWs) remuneration has received some attention in terms of the design of incentives, however, there is a lack of systematic data on the processes by which CHWs are paid. We aimed to study existing payment processes including the role of digitization and its effects on CHW experiences with receiving full and timely compensation, and identify barriers and facilitators to the payment process. We studied payment processes for the Accredited Social Health Activist (ASHA) in India in two states with varying levels of performance and payment systems and conducted 53 in-depth interviews and eight focus group discussions across three categories of respondents (37 ASHA workers, 46 supervisors, and 34 managers/health system leaders). The data was coded thematically using inductive and deductive coding methods organized around five steps of the payment process: (i) recording of work, (ii) claim submission, (iii) claim verification, (iv) claim processing, and (v) payment disbursement. We observed complex sub-processes within each stage of the payment process that adversely impacted payment timelines, CHW workload, and motivation, even where digital tools provide support. Local administrative initiative and positive organizational culture overcame these challenges to standardize and simplify processes for recording work, submitting claims, and maintaining adequate funds, facilitating timely payments. Complete digitization of disbursement through the public financial management system improved timeliness, transparency, and satisfaction among CHWs compared to earlier cash and cheque-based payments. The potential digitization of service delivery records for claim submission was met with mixed perceptions among CHWs and their supervisors. Our study contributes to the body of knowledge on CHW compensation by delineating the processes by which financial incentives are paid and offering insights for low and middle-income countries to improve the efficiency of payment systems.

Indexed as

Community Health WorkersRemunerationFemaleFocus GroupsHumansIndiaInterviews as TopicMaleMotivationQualitative ResearchSalaries and Fringe BenefitsWorkloadASHAscommunity health workerscompensationdigital payment systemsIndiamotivationpayment delayspayment processes

Identifiers

PMID39953777
PMCPMC11979585

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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.