Evidence map›Paper›PMID 37085868›Full record

ArticleHuman resources for health2023

Scrutinizing human resources for health availability and distribution in Mozambique between 2016 and 2020: a subnational descriptive longitudinal study.

Quinhas Fernandes, Orvalho Augusto, Helena Machai, James Pfeiffer, Marco Carone, Norton Pinto, Naziat Carimo, Isaías Ramiro, Stephen Gloyd, Kenneth Sherr

Abstract read
In one paragraph

Article in Human resources for health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Quinhas FernandesNational Directorate of Public Health, Ministry of Health, Maputo City, Mozambique. ferq09@gmail.com.ORCID 0000-0002-1539-0967
Orvalho AugustoDepartment of Global Health, University of Washington, Seattle, WA, United States of America.
Helena MachaiDirectorate of Human Resources, Ministry of Health, Maputo City, Mozambique.
James PfeifferDepartment of Global Health, University of Washington, Seattle, WA, United States of America.
Marco CaroneDepartment of Biostatistics, School of Public Health, University of Washington, Seattle, WA, United States of America.
Norton PintoDirectorate of Human Resources, Ministry of Health, Maputo City, Mozambique.
Naziat CarimoDepartment of Global Health, University of Washington, Seattle, WA, United States of America.
Isaías RamiroComité para a Saúde de Moçambique, Maputo City, Mozambique.
Stephen GloydDepartment of Global Health, University of Washington, Seattle, WA, United States of America.
Kenneth SherrDepartment of Global Health, University of Washington, Seattle, WA, United States of America.

Funding

Spreading the Integrated District Evidence-to-Action Program for Neonatal Mortality Reduction (IDEAs) in MozambiqueR01HD092449 · NICHD · UNIVERSITY OF WASHINGTON · PI FERNANDES, QUINHAS, SHERR, KENNETH · 2018 to 2022
$2.8M
NICHD NIH HHS R01 HD092449
6 · The paper itself

Abstract

introductionOverall, resilient health systems build upon sufficient, qualified, well-distributed, and motivated health workers; however, this precious resource is limited in numbers to meet people's demands, particularly in LMICs. Understanding the subnational distribution of health workers from different lens is critical to ensure quality healthcare and improving health outcomes.

methodsUsing data from Health Personnel Information System, facility-level Service Availability and Readiness Assessment, and other sources, we performed a district-level longitudinal analysis to assess health workforce density and the ratio of male to female health workers between January 2016 and June 2020 across all districts in Mozambique.

results22 011 health workers were sampled, of whom 10 405 (47.3%) were male. The average age was 35 years (SD: 9.4). Physicians (1025, 4.7%), maternal and child health nurses (4808, 21.8%), and nurses (6402, 29.1%) represented about 55% of the sample. In January 2016, the average district-level workforce density was 75.8 per 100 000 population (95% CI 65.9, 87.1), and was increasing at an annual rate of 8.0% (95% CI 6.00, 9.00) through January 2018. The annual growth rate declined to 3.0% (95% CI 2.00, 4.00) after January 2018. Two provinces, Maputo City and Maputo Province, with 268.3 (95% CI 186.10, 387.00) and 104.6 (95% CI 84.20, 130.00) health workers per 100 000 population, respectively, had the highest workforce density at baseline (2016). There were 3122 community health workers (CHW), of whom 72.8% were male, in January 2016. The average number of CHWs per 10 000 population was 1.33 (95% CI 1.11, 1.59) in 2016 and increased by 18% annually between January 2016 and January 2018. This trend reduced to 11% (95% CI 0.00, 13.00) after January 2018. The sex ratio was twice as high for all provinces in the central and northern regions relative to Maputo Province. Maputo City (OR: 0.34; 95% CI 0.32, 0.34) and Maputo Province (OR: 0.56; 95% CI 0.49, 0.65) reported the lowest sex ratio at the baseline. Encouragingly, important sex ratio improvements were observed after January 2018, particularly in the northern and central regions.

conclusionMozambique made substantial progress in health workers' availability during the study period; however, with a critical slowdown after 2018. Despite the progress, meaningful shortages and distribution disparities persist.

Indexed as

Health PersonnelQuality of Health CareAdultChildFemaleHumansLongitudinal StudiesMaleMozambiqueWorkforceHRH availability and distributionLongitudinal analysisMozambiqueWorkforce density

Identifiers

PMID37085868
PMCPMC10122375

What OpenQuestion holds

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LicenceCC BY
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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.