Evidence map›Paper›PMID 41419925›Full record

ArticleHuman resources for health2025

Digitalized human resources for health information systems in low- and middle-income countries: a scoping review.

Mari Nagai, Raymond Mufwaya-Nsene, Moe Moe Thandar, Sadatoshi Matsuoka, Sumiyo Okawa, Noriko Fujita

Abstract readScoping Review
In one paragraph

Article in Human resources for health, 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

6 authors.

Mari NagaiBureau of Global Health Cooperation, Japan Institute for Health Security, Tokyo, Japan. nagai.m@jihs.go.jp.
Raymond Mufwaya-NseneInterfaculty Initiative in Planetary Health, Nagasaki University, Nagasaki, Japan.
Moe Moe ThandarBureau of Global Health Cooperation, Japan Institute for Health Security, Tokyo, Japan.
Sadatoshi MatsuokaBureau of Global Health Cooperation, Japan Institute for Health Security, Tokyo, Japan.
Sumiyo OkawaBureau of Global Health Cooperation, Japan Institute for Health Security, Tokyo, Japan.
Noriko FujitaSchool of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTracking country-wide human resources for health (HRH) information is a milestone in the global strategy for HRH 2030, and digitalized HRH information systems have been recommended by the World Health Organization. However, the implementation status differs among countries, and most systematic reviews on this topic have been conducted in high-income countries. This scoping review aimed to identify (1) stages of implementation, (2) functional components, (3) facilitators and barriers, and (4) policy impacts or outcomes of digitalized HRH information systems in low- and middle-income countries (LMICs).

methodsThe methodological framework of the Johanna Briggs Institute was used in this scoping review. English articles in two databases (PubMed and Web of Science) with publication dates ranging from inception to August 2023 were gathered, followed by a gray literature search and a reference search. Two author pairs independently performed the study selection. Data were extracted, analyzed, and presented in tabular form alongside a narrative summary.

resultsForty studies and gray literature from 26 LMICs in Asia and Africa were included in the scoping review. Thirty-three studies and gray literature covered different stages of digitalized HRH information systems' implementation, including development, pilot, rollout, and maintenance. The HRH registry was the most common, whereas finances and migration were the least common functional components. Thirty-two studies and gray literature reported barriers and facilitators, stratified into four factors and stages. Many barriers were identified in organizational and environmental factors, especially in governance. Interoperability among multiple HRH information systems within a country is the key facilitator, where development partners play a critical role. Sixteen studies and gray literature from nine countries reported positive policy impacts/outcomes. Political commitment, strong national and subnational leadership, and coordination mechanisms among national stakeholders and development partners were key to gaining policy impact.

conclusionsBarriers and facilitators were common across the studies, and governance factors were particularly crucial at all stages of digitalization. Our stratified methodology for analyzing facilitators and barriers can serve as an analytical framework for evaluating HRH information systems in any country. Data on the private sector and migration could be further strengthened as system components.

Indexed as

Developing CountriesHealth Information SystemsHealth WorkforceHumansDigital technologyHealth workforceLow and middle income countriesManagement information systemsScoping review

Identifiers

PMID41419925
PMCPMC12809960

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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.