Evidence map›Paper›PMID 27523185›Full record

ArticleHuman resources for health2016

Examining the influence of country-level and health system factors on nursing and physician personnel production.

Allison Squires, S Jennifer Uyei, Hiram Beltrán-Sánchez, Simon A Jones

Abstract read
In one paragraph

Article in Human resources for health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

4 authors.

Allison SquiresRory Meyers College of Nursing, New York University, 433 First Avenue, New York, NY, 10010, United States of America. aps6@nyu.edu.
S Jennifer UyeiDivision of Comparative Effectiveness and Decision Science, New York University School of Medicine, 227 East 30th Street, New York, NY, 10016, United States of America.
Hiram Beltrán-SánchezDepartment of Community Health Sciences, California Center for Population Research, University of California, Los Angeles, 650 Charles E. Young Drive South, Room 41-257 CHS, Los Angeles, CA, 53706-1393, United States of America.
Simon A JonesPopulation Health, New York University School of Medicine, 227 East 30th Street, New York, NY, 10016, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA key component to achieving good patient outcomes is having the right type and number of healthcare professionals with the right resources. Lack of investment in infrastructure required for producing and retaining adequate numbers of health professionals is one reason, and contextual factors related to socioeconomic development may further explain the trend. Therefore, this study sought to explore the relationships between country-level contextual factors and healthcare human resource production (defined as worker-to-population ratio) across 184 countries.

methodsThis exploratory observational study is grounded in complexity theory as a guiding framework. Variables were selected through a process that attempted to choose macro-level indicators identified by the interdisciplinary literature as known or likely to affect the number of healthcare workers in a country. The combination of these variables attempts to account for the gender- and class-sensitive identities of physicians and nurses. The analysis consisted of 1 year of publicly available data, using the most recently available year for each country where multiple regressions assessed how context may influence health worker production. Missing data were imputed using the ICE technique in STATA and the analyses rerun in R as an additional validity and rigor check.

resultsThe models explained 63 % of the nurse/midwife-to-population ratio (pseudo R (2) = 0.627, p = 0.0000) and 73 % of the physician-to-population ratio (pseudo R (2) = 0.729, p = 0.0000). Average years of school in a country's population, emigration rates, beds-per-1000 population, and low-income country statuses were consistently statistically significant predictors of production, with percentage of public and private sector financing of healthcare showing mixed effects.

conclusionsOur study demonstrates that the strength of political, social, and economic institutions does impact human resources for health production and lays a foundation for studying how macro-level contextual factors influence physician and nurse workforce supply. In particular, the results suggest that public and private investments in the education sector would provide the greatest rate of return to countries. The study offers a foundation from which longitudinal analyses can be conducted and identifies additional data that may help enhance the robustness of the models.

Indexed as

Delivery of Health CareGlobal HealthDeveloping CountriesEconomic DevelopmentEducationFemaleHumansMaleNurse MidwivesNursesPhysiciansPoliticsPrivate SectorPublic SectorSocioeconomic FactorsWorkforceComplexity theoryGlobal healthHuman resources for healthNurse-to-population ratioPhysician-to-population ratioPolicySocioeconomic development

Identifiers

PMID27523185
PMCPMC4983794

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.