Evidence map›Paper›PMID 41593720›Full record

ArticleHuman resources for health2026

Area remoteness and the distribution and attrition of the rural health workforce in Australia.

K Shuvo Bakar, Peter Radchenko, Nam Ho-Nguyen, Ellen McDonald, Ross Bailie

Abstract read
In one paragraph

Article in Human resources for health, 2026. 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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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

5 authors.

K Shuvo BakarSchool of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, 2050, Australia. shuvo.bakar@sydney.edu.au.
Peter RadchenkoSydney Business School, The University of Sydney, Darlington, NSW, 2006, Australia.
Nam Ho-NguyenSydney Business School, The University of Sydney, Darlington, NSW, 2006, Australia.
Ellen McDonaldSchool of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, 2050, Australia.
Ross BailieSchool of Public Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, 2050, Australia.

Funding

Faculty of Medicine and Health, University of Sydney FMH-Business (Grant ID. 223039)HEAL Network, National Health and Medical Research Council Grant No. 2008937Sydney Business School, University of Sydney FMH-Business (Grant ID. 223039)
6 · The paper itself

Abstract

backgroundThe health workforce (HW) plays an important role in patient care, and in rural Australia its distribution varies substantially. This paper explores trends in Australia's HW full-time equivalent (HW-FTE) rates and estimates the risk of HW attrition phenomena using data from local government areas (LGAs) during 2013-2021.

methodsTrends and spatial analyses were used to understand HW-FTE rates for allied health professionals, medical practitioners, and nurses and midwives in four major types of Australian Statistical Geography Standard (ASGS) remoteness areas. The time-to-event modelling was used to identify HW retention times and probability of HW attrition, by remoteness areas and major states in Australia.

resultsOn average the HW-FTE rate at the granular geo-spatial LGA level exhibits variation in trends between States, rurality, LGA and health professional groups over the study period. The increase in the HW-FTE rate over time for medical practitioners and allied health professionals is lower for outer regional, remote, and very remote Australia compared to inner regional Australia. The HW-FTE rate is also consistently lower for rural Australia compared to major cities irrespective of HW professions. The average HW retention time estimated for allied health was highest in major cities (5 years), and lowest in outer regional areas (3 years). States such as NSW and QLD had more than 4 years of HW retention time for medical practitioners. For nurses and midwives, the average retention time was less than 3 years for all states in Australia. There is variation in trends in HW-FTE rate between LGAs within and between States, including markedly contrasting trends between geographically adjacent LGAs.

conclusionsOur results provide new insight into variation in HW availability, and trends in availability, between major health professional groupings between States, degrees of rurality and local government areas across Australia. This presents new opportunities for understanding and addressing factors that underly the variation in trends for the purpose of refining policy and programs that aim to address the persistent maldistribution and shortages in health worker availability between major cities and regional and remote parts of Australia.

Indexed as

Health PersonnelHealth WorkforcePersonnel TurnoverRural Health ServicesAllied Health PersonnelAustraliaHumansRural PopulationAttritionHealth workforceTime-to-event model

Identifiers

PMID41593720
PMCPMC12930739

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.