Evidence map›Paper›PMID 40281489›Full record

ArticleBMC health services research2025

Using archival employee data to examine retention patterns for healthcare workers in non-metropolitan Australia: a survival analysis.

Priya Martin, Clara Walker, Bahram Sangelaji, Jessica Elliott, Lee O'Malley, Ansmarie Van Erp, Hwee Sin Chong, Anna Coghlan, Tony Fallon

Abstract read
In one paragraph

Article in BMC health services research, 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

9 authors.

Priya MartinOccupational Therapy, School of Health and Medical Sciences, University of Southern Queensland, Toowoomba, QLD, 4350, Australia. Priya.Martin@unisq.edu.au.ORCID http://orcid.org/0000-0002-2092-6551
Clara WalkerSouthern Queensland Rural Health, Faculty of Health and Behavioural Sciences, The University of Queensland, Toowoomba, Australia.ORCID http://orcid.org/0000-0001-7888-5142
Bahram SangelajiSouthern Queensland Rural Health, Faculty of Health and Behavioural Sciences, The University of Queensland, Toowoomba, Australia.ORCID http://orcid.org/0000-0002-0405-7915
Jessica ElliottSchool of Nursing and Midwifery, University of Southern Queensland, Ipswich, Australia.ORCID http://orcid.org/0000-0002-1214-1594
Lee O'MalleySchool of Nursing and Midwifery, Griffith University, Nathan, Australia.ORCID http://orcid.org/0000-0002-7522-0935
Ansmarie Van ErpStrategic Business Development, Queensland Rural Medical Services, Darling Downs Health, Toowoomba, Australia.ORCID http://orcid.org/0000-0002-2130-6565
Hwee Sin ChongQueensland Rural Medical Services, Darling Downs Health, Toowoomba, Australia.
Anna CoghlanThe University of Queensland, St Lucia, Brisbane, Australia.
Tony FallonSouthern Queensland Rural Health, Faculty of Health and Behavioural Sciences, The University of Queensland, Toowoomba, Australia.ORCID http://orcid.org/0000-0002-9833-912X

Funding

Toowoomba Hospital Foundation and Pure Land Learning College THF 2022 R1-04
6 · The paper itself

Abstract

backgroundHealthcare workers (HCWs) play a crucial role in the delivery of much-needed healthcare services globally. Outside major metropolitan centres (i.e., non-metropolitan areas including regional, rural, remote, and very remote), recruiting and retaining HCWs continues to be a challenge. Rural Australia already faces significant healthcare challenges and inequities. Stabilizing the healthcare workforce in these underserved areas is a national priority. This study aimed to examine median retention timeframes across medicine, nursing, midwifery, and allied health professions in the public health sector in rural southern Queensland (Australia). Further, it also aimed to understand the demographic, employment, and geographical variables that influence retention of the rural healthcare workforce.

methodsA 12-year administrative dataset from two public health services, servicing rural Queensland in Australia were examined. De-identified data were analyzed through descriptive statistical tests, survival analyses, and Andersen-Gill Cox proportional hazards regression.

resultsData from 6651 records linked to 5527 employees were included in the analysis. Sampled employees were predominately female (70.4%), employed permanently (86.3%), in a clinical role (97.6%), and in the public hospital sector (87.5%). The overall median survival time (i.e., time employed in one location) was 1.46 years [95% CI, 1.35-1.52 years], with 41% of employees remaining in employment in location after two years. Compared to those in nursing and midwifery, those employed in medical (HR: 1.91, 95% CI: 1.75-2.09) and allied health (HR: 1.38, 95% CI: 1.26-1.51) streams were at greater risk of leaving location. This effect was relatively small, though, compared to: (a) geographic location of employment, where, compared to those working in the regional city, there was greater risk of leaving location if working in rural (HR: 1.79, 95% CI: 1.66-1.94) or remote communities (HR: 2.64, 95% CI: 2.40-2.91); and (b) employment type, where compared to being employed in permanent part-time roles, there was greater risk of leaving location if employed in casual (HR: 1.76, 95% CI: 1.56-1.99), full-time (HR: 1.65, 95% CI: 1.51-1.79) or temporary roles (HR: 2.13, 95% CI: 1.78-2.55).

conclusionsUnderstanding retention patterns of the healthcare workforce is crucial to developing and implementing supportive interventions to enhance HCW retention in rural areas. Our findings show that the overall retention rate in this population is comparable to international evidence and may be slightly better than some previously reported rates from other Australian studies. Our findings suggest that profession, employment type, sector type, age, and geographical remoteness influenced employee retention. Further research is needed to fully explore and understand the reasons for HCWs leaving their roles and supportive measures that enable reasonable HCW retention rates.

Indexed as

Health PersonnelPersonnel LoyaltyPersonnel TurnoverRural Health ServicesAdultFemaleHumansMaleMiddle AgedProportional Hazards ModelsQueenslandSurvival AnalysisHealthcare workerHealthcare workforceRecruitment and retentionRural healthTurnover

Identifiers

PMID40281489
PMCPMC12023548

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.