Evidence map›Paper›PMID 41168815›Full record

ArticleHuman resources for health2025

Trends and inequalities of Human Resources for Health across 15 states/territories in Malaysia during 2010-2022.

Jasmin M Ariff, Lokman H Sulaiman, Chandrashekhar T Sreeramareddy

Abstract read
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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.

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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.

  1. Health related quality of life of patients with breast cancer in Malaysia: evidence from EQ-5D-5L and EORTC QLQ-C30.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Jasmin M AriffSchool of Postgraduate Studies, IMU University, Kuala Lumpur, Malaysia.
Lokman H SulaimanDepartment of Public Health and Community Medicine, IMU University, Kuala Lumpur, Malaysia.
Chandrashekhar T SreeramareddyDepartment of Public Health and Community Medicine, IMU University, Kuala Lumpur, Malaysia. chandrashekharats@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe density and distribution of Human Resources for Health (HRH) are critical to achieving universal health coverage. We aimed to study temporal trends in HRH density and state-wise inequalities in Malaysia, 2010-2022.

methodsWe obtained state-wise data on HRH (doctors, dentists, pharmacists, nurses, and assistant medical officers) from the Ministry of Health (MOH), and estimates of mid-year population, the human development index (HDI), and Gross National Income (GNI) from the Department of Statistics Malaysia. We estimated trends in HRH density per 10,000 population. Inequalities in HRH density were measured using absolute and relative gaps, and slope index inequality (SII) and concentration index (CI) across the states are ranked high, middle, and low. For geographic inequalities, we estimated absolute and relative dissimilarity indices and the Theil index.

resultsHRH density increased from 43.77 to 77.65 at an annual rate of change (ARC) of 4.89%. In absolute terms (SII), HRH density in states ranked by HDI and GNI was higher for doctors (9.77) and nurses (7.44), and in relative terms (CI), however, pharmacists (9.62), doctors (8.48), and dentists (6.30) had higher inequalities between the states, indicating higher concentration in higher-ranked states. To attain distributive equality across the states, about 13% of current doctors, nurses, and dentists, and 11% of pharmacists need to be redistributed.

conclusionHRH numbers and density increased across the states. Inequalities analyses showed that HRH are concentrated in higher-ranked states. Our report provides leads and directions for policymakers to achieve an equitable distribution of HRH, essential for achieving Universal Health Coverage.

Indexed as

Healthcare DisparitiesHealth PersonnelHealth WorkforceHumansMalaysiaNursesPhysiciansSocioeconomic FactorsHealthcare disparitiesHealth inequalitiesHuman Resources for HealthMalaysiaSpatiotemporal analysis

Identifiers

PMID41168815
PMCPMC12573982

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.