ArticleBMJ open2022
Prevalence and associations of rural practice location in early-career general practitioners in Australia: a cross-sectional analysis.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Factors contributing to 25-year-long retention of South Australian general practitioners in rural practice: a cross-sectional survey.BMC health services research · 2026Article
- Choosing regional, rural, and remote practice: what attracts or deters early-career doctors?BMC health services research · 2025Article
- Article
- How healthy and affordable are foods and beverages sold in school canteens? A cross-sectional study comparing menus from Victorian primary schools.Public health nutrition · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo: (1) establish the prevalence of urban, regional, rural and remote practice location of early-career general practitioners (GPs); and (2) examine demographic and training-related characteristics associated with working in regional, rural or remote areas post attainment of vocational general practice qualifications.
designCross-sectional, questionnaire-based study, combined with contemporaneously collected data from participants' prior vocational training.
settingAustralian general practice.
participantsNewly vocationally qualified GPs (ie, within 6 months-2 years post fellowship) who had completed vocational training with regional training organisations in New South Wales, Australian Capital Territory, eastern Victoria, and Tasmania between January 2016 and July 2018. PRIMARY OUTCOME MEASURE: Rurality of post-fellowship practice location, as defined by Modified Monash Model (MMM) geographical classifications, based on current practice postcode. Prevalence of regional/rural/remote ('rural') practice was described using frequencies, and associations of rural practice were established using multivariable logistic regression, considering a range of demographic factors and training characteristics as independent variables.
resultsA total of 354 participants completed the questionnaire (response rate 28%) with 319 providing information for their current practice location. Of these, 100 (31.4%) reported currently practising in a rural area (MMM2-7). Factors most strongly associated with practising in a rural area included having undertaken vocational GP training in a rural location OR 16.0 (95% CI 6.79 to 37.9); p<0.001; and undertaking schooling in rural area prior to university OR 4.21 (1.98, 8.94); p<0.001.
conclusionsThe findings suggest that vocational training experience may have a role in rural general practice location post fellowship, attenuating the previously demonstrated 'leakage' from the rural practice pipeline.
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.