Determining the distance patterns in the movements of future doctors in UK between 2002 and 2015: a retrospective cohort study
- PMID: 38423780
- PMCID: PMC10973690
- DOI: 10.1136/bmjopen-2023-077635
Determining the distance patterns in the movements of future doctors in UK between 2002 and 2015: a retrospective cohort study
Abstract
Objective: To determine and identify distance patterns in the movements of medical students and junior doctors between their training locations.
Design: A retrospective cohort study of UK medical students from 2002 to 2015 (UKMED data).
Setting: All UK medical schools, foundations and specialty training organisation.
Participants: All UK medical students from 2002 to 2015, for a total of 97 932 participants.
Outcome measures: Individual movements and number of movements by county of students from family home to medical school training, from medical school to foundation training and from foundation to specialty training.
Methods: Leslie matrix, principal components analysis, Gini coefficient, χ2 test, generalised linear models and variable selection methods were employed to explore the different facets of students' and junior doctors' movements from the family home to medical school and for the full pathway (from family home to specialty training).
Results: The majority of the movements between the different stages of the full pathway were restricted to a distance of up to 50 km; although the proportion of movements changed from year-to-year, with longer movements during 2007-2008. At the individual level, ethnicity, socioeconomic class of the parent(s) and the deprivation score of the family home region were found to be the most important factors associated with the length of the movements from the family home to medical school. Similar results were found when movements were aggregated at the county level, with the addition of factors such as gender and qualification at entry (to medical school) being statistically associated with the number of new entrant students moving between counties.
Conclusion: Our findings show that while future doctors do not move far from their family home or training location, this pattern is not homogeneous over time. Distances are influenced by demographics, socioeconomic status and deprivation. These results may contribute in designing interventions aimed at solving the chronic problems of maldistribution and underdoctoring in the UK.
Keywords: EDUCATION & TRAINING (see Medical Education & Training); HEALTH SERVICES ADMINISTRATION & MANAGEMENT; STATISTICS & RESEARCH METHODS.
© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
Conflict of interest statement
Competing interests: CM is a medical director and director of education and standards at the General Medical Council. Views expressed in this article do not necessarily reflect those of the General Medical Council.
Figures
Similar articles
-
Geographical mobility of UK trainee doctors, from family home to first job: a national cohort study.BMC Med Educ. 2018 Dec 20;18(1):314. doi: 10.1186/s12909-018-1414-9. BMC Med Educ. 2018. PMID: 30572878 Free PMC article.
-
Factors associated with junior doctors' decisions to apply for general practice training programmes in the UK: secondary analysis of data from the UKMED project.BMC Med. 2017 Dec 21;15(1):220. doi: 10.1186/s12916-017-0982-6. BMC Med. 2017. PMID: 29268742 Free PMC article.
-
Geographical movement of doctors from education to training and eventual career post: UK cohort studies.J R Soc Med. 2013 Mar;106(3):96-104. doi: 10.1177/0141076812472617. J R Soc Med. 2013. PMID: 23481431 Free PMC article.
-
Are there differences between those doctors who apply for a training post in Foundation Year 2 and those who take time out of the training pathway? A UK multicohort study.BMJ Open. 2019 Nov 24;9(11):e032021. doi: 10.1136/bmjopen-2019-032021. BMJ Open. 2019. PMID: 31767592 Free PMC article.
-
Relationship between sociodemographic factors and selection into UK postgraduate medical training programmes: a national cohort study.BMJ Open. 2018 Jun 30;8(6):e021329. doi: 10.1136/bmjopen-2017-021329. BMJ Open. 2018. PMID: 29961026 Free PMC article.
References
-
- Rolewicz L, Palmer B, Lobont C. The NHS workforce in numbers. Nuffield Trust; 2022. Available: https://www.nuffieldtrust.org.uk/resource/the-nhs-workforce-in-numbers
-
- Government S . Health workforce. n.d. Available: https://www.gov.scot/policies/health-workforce/
-
- Government W . Staff directly employed by the NHS: as at 30 September 2022. 2022. Available: https://www.gov.wales/staff-directly-employed-nhs-30-september-2022-html
-
- Health Do . Northern Ireland health and social care (HSC) workforce statistics December 2022, . 2023. Available: https://www.health-ni.gov.uk/publications/northern-ireland-health-and-so...
-
- McCarthy N. The world's biggest employers Jersey city NJ, US: Forbes; 2015. Available: https://www.forbes.com/sites/niallmccarthy/2015/06/23/the-worlds-biggest...
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources