ArticleBMC health services research2025
Using archival employee data to examine retention patterns for healthcare workers in non-metropolitan Australia: a survival analysis.
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.
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.
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.
Who cites it
2 citing papers in PubMed.
- Disparities in educational service quality among medical students in Iran's revised medical curriculum: A cross-sectional study in a resource-limited region.Journal of education and health promotion · 2026Article
- Trends in chronic kidney disease-related mortality in older adults in the United States from 1999 to 2020: a cross-sectional study.Annals of medicine and surgery (2012) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.