Evidence map›Paper›PMID 40916591›Full record

ArticleThe Australian journal of rural health2025

Towards a National Longitudinal Tracking Framework of Health Graduate Practice Locations.

Vincent L Versace, Pam Harvey, Geoff Argus, Christine Howard, Leanne Brown

Abstract read
In one paragraph

Article in The Australian journal of rural health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Vincent L VersaceDeakin Rural Health, School of Medicine, Deakin University, Warrnambool, Victoria, Australia.ORCID 0000-0002-8514-1763
Pam HarveyMonash Rural Health, Monash University, Bendigo, Victoria, Australia.ORCID 0000-0002-8366-8633
Geoff ArgusSouthern Queensland Rural Health (SQRH), Faculty of Health and Behavioural Science, The University of Queensland, Toowoomba, Queensland, Australia.ORCID 0000-0001-6849-1262
Christine HowardThree Rivers Department of Rural Health, Charles Sturt University, Wagga Wagga, New South Wales, Australia.
Leanne BrownDepartment of Rural Health, University of Newcastle, Tamworth, New South Wales, Australia.ORCID 0000-0002-4340-2320

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsWorkforce maldistribution is a challenge to the equitable provision of healthcare in Australia. This Commentary details how a multi-university, large-scale, and growing data asset is positioned to contribute strategically and operationally to addressing national workforce priorities. CONTEXT: The Nursing and Allied Health Graduate Outcome Tracking (NAHGOT) study is a prospective longitudinal research project with a commitment to nationwide geographical coverage. NAHGOT links practice location data (the outcome) from the Australian Health Practitioner Regulation Agency (Ahpra) with university administrative records, such as admission and placement data (explanatory variables). NAHGOT also links external surveys and publicly available spatial data describing socio-economic conditions and access to services. There are seven universities formally part of the collaboration, with five others in the process of joining. NAHGOT has established a framework including project governance, data linkage and management protocols, and a central repository for de-identified data. APPROACH: The background of NAHGOT, the benefits to the Rural Health Multidisciplinary Training program, current limitations and challenges, and the case for scale-up and future direction are described.

conclusionUniversities are uniquely positioned to lead graduate tracking as they have access to a suite of key explanatory variables not available elsewhere. Increasing the number of participating universities within NAHGOT is a priority, as is broadening the pool of disciplines beyond those covered by Ahpra. The geo-enrichment of placement and practice data is also a priority. This will allow a more granular understanding of local workforce dynamics that can be overlooked if analysis is limited to existing geographical classifications.

Indexed as

Professional Practice LocationRural Health ServicesAustraliaHumansLongitudinal StudiesProspective Studies

Identifiers

PMID40916591
PMCPMC12415498

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.