Evidence map›Paper›PMID 40435498›Full record

ArticleJMIR medical informatics2025

Enhancing Efficiency and User Experience of Digital Community Health Worker Payments in Zanzibar: Implementation Report.

Lee Pyne-Mercier, Krishna Jafa, Susan Maigua, Jennifer Muli, Elijah Gichinga, Antony Khaemba, Nitusima Kataraia, Aisha Mohammed, Frank Kamangadazi Tembo, Imran Esmail and 3 more

Abstract read
In one paragraph

Article in JMIR medical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Lee Pyne-MercierUniversity of Washington, 3980 15th Ave NE, Seattle, WA, 98105, United States, 1 206-696-8855.ORCID 0009-0001-6160-4858
Krishna JafaMedic, San Francisco, CA, United States.ORCID 0009-0008-3663-8854
Susan MaiguaMedic, San Francisco, CA, United States.ORCID 0009-0003-7725-1780
Jennifer MuliMedic, San Francisco, CA, United States.ORCID 0009-0003-2905-7334
Elijah GichingaMedic, San Francisco, CA, United States.ORCID 0009-0006-5822-6872
Antony KhaembaMedic, San Francisco, CA, United States.ORCID 0000-0002-4345-055X
Nitusima KataraiaD-tree, Norwell, MA, United States.ORCID 0009-0003-3395-8389
Aisha MohammedD-tree, Norwell, MA, United States.ORCID 0009-0000-4381-1207
Frank Kamangadazi TemboD-tree, Norwell, MA, United States.ORCID 0009-0009-1178-3972
Imran EsmailD-tree, Norwell, MA, United States.ORCID 0009-0009-2894-8104
Giulia V R BesanaD-tree, Norwell, MA, United States.ORCID 0009-0005-0443-9875
Heiko HornungD-tree, Norwell, MA, United States.ORCID 0000-0002-4248-2744
Ali Makame ZubeirMinistry of Health, Zanzibar, United Republic of Tanzania.ORCID 0009-0007-8662-8139

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Community health workers (CHWs) are essential for achieving universal health coverage and reaching the Sustainable Development Goals. Paying CHWs for their work increases their motivation and effectiveness, and is recommended by the World Health Organization and advocacy organizations such as the Community Health Impact Coalition. Many implementing organizations currently pay CHWs using mobile money or other digital means. However, most payment systems are designed without the involvement of CHWs. Objective: In this implementation report, we describe efforts to improve efficiency, accuracy, and user experience of the CHW payment process of the Jamii ni Afya project in Zanzibar. Methods: We applied Medic's design process to develop new functionality for the open-source Community Health Toolkit. We reviewed documentation and engaged with users to understand their needs and experiences with the current payment system. This information formed the basis of technical specifications, which were developed into a revised workflow. The workflow was iteratively tested and refined. Several steps that were managed offline, such as resolving payment discrepancies, were formalized and incorporated into the workflow. We conducted user acceptance testing to assess functionality and user experience. Unlabelled: The workflow was able to accurately translate programmatic data into payment information for each CHW and securely transmitted this information to a payment service provider. User acceptance testing revealed that CHWs felt the revised payment system provided them with more information and gave them a greater sense of control. Program staff felt the workflow would increase the efficiency and accuracy of the payment process, while simplifying the resolution of payment discrepancies. Conclusions: Engaging users in the design and optimization of digital payment systems has the potential to improve the efficiency and accuracy of digital payment systems while enhancing satisfaction among all users, contributing to improved sustainability and impact of CHW programs. Definitive conclusions will depend on evaluation of the system after implementation.

Indexed as

Community Health WorkersEfficiency, OrganizationalHumansWorkflowAfricacommunity health workerdigital healthdigital paymentimplementation reportmobile healthmobile moneymobile paymentsuser experienceZanzibar

Identifiers

PMID40435498
PMCPMC12136488

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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.