Evidence map›Paper›PMID 42470212›Full record

ArticleThe Australian journal of rural health2026

Hidden Capacity? Uncovering the Rural Australian Health Research Workforce Using National Census Data.

Michelle Kersten, Karen Hayes, Susan Heaney

Abstract read
In one paragraph

Article in The Australian journal of rural health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Michelle KerstenDepartment of Rural Health, University of Newcastle, Port Macquarie, New South Wales, Australia.ORCID 0000-0002-4669-2714
Karen HayesSchool of Allied Health, Exercise and Sports Sciences, Charles Sturt University, Port Macquarie, New South Wales, Australia.
Susan HeaneyDepartment of Rural Health, University of Newcastle, Port Macquarie, New South Wales, Australia.ORCID 0000-0001-8206-4080

Funding

University of Newcastle, Department of Rural Health
6 · The paper itself

Abstract

objectiveTo provide the first national analysis of the distribution and professional composition of PhD-qualified health professionals across metropolitan, regional, rural and remote Australia.

designCross-sectional analysis of 2021 Australian Census data.

settingAustralia, classified by Modified Monash Model (MM) remoteness categories.

participantsHealth professionals reporting a doctoral-level qualification (PhD).

main outcome measuresCounts and proportions of PhD-qualified health professionals by MM category and occupation group; association between remoteness and PhD representation.

methodsOccupations were grouped into medicine, allied health, and nursing. Residential locations were mapped to MM categories. Descriptive statistics and linear regression examined distribution patterns.

resultsOf 21 510 PhD-qualified health professionals, 85% lived in metropolitan areas (MM1), with 3027 (14%) in regional, rural and remote communities and only 12 (< 1%) in very remote areas (MM7). Medical practitioners comprised 61%, allied health 36% (predominantly psychology) and nursing 3%. Increasing remoteness was associated with reduced PhD representation (β = -0.0041, p = 0.011).

conclusionsResearch capacity is concentrated in metropolitan areas, yet a substantial base of PhD-qualified professionals exists in RRR communities. Targeted investment in funding, infrastructure and support could leverage this workforce to build sustainable rural health research capacity.

Indexed as

Health WorkforceRural Health ServicesAustraliaCensusesCross-Sectional StudiesHumansRural PopulationWorkforceAustraliadoctoral degreehealth workforceincomeresearch personnelworkforceworkplace

Identifiers

PMID42470212
PMCPMC13379792

What OpenQuestion holds

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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.