Home > Research > Publications & Outputs > Determining the distance patterns in the moveme...

Links

Text available via DOI:

View graph of relations

Determining the distance patterns in the movements of future doctors in UK between 2002 and 2015: a retrospective cohort study

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Determining the distance patterns in the movements of future doctors in UK between 2002 and 2015: a retrospective cohort study. / Hitchings, Lucy; Fleet, Ben; Smith, Daniel Thomas et al.
In: BMJ Open, Vol. 14, No. 3, e077635, 01.03.2024.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Vancouver

Hitchings L, Fleet B, Smith DT, Read JM, Melville C, Sedda L. Determining the distance patterns in the movements of future doctors in UK between 2002 and 2015: a retrospective cohort study. BMJ Open. 2024 Mar 1;14(3):e077635. Epub 2024 Feb 29. doi: 10.1136/bmjopen-2023-077635

Author

Hitchings, Lucy ; Fleet, Ben ; Smith, Daniel Thomas et al. / Determining the distance patterns in the movements of future doctors in UK between 2002 and 2015 : a retrospective cohort study. In: BMJ Open. 2024 ; Vol. 14, No. 3.

Bibtex

@article{71e1052d6c3844719ac1d2098fc0f7eb,
title = "Determining the distance patterns in the movements of future doctors in UK between 2002 and 2015: a retrospective cohort study",
abstract = "ObjectiveTo determine and identify distance patterns in the movements of medical students and junior doctors between their training locations.DesignA 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{\textquoteright} and junior doctors{\textquoteright} 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.",
author = "Lucy Hitchings and Ben Fleet and Smith, {Daniel Thomas} and Read, {Jonathan M} and Colin Melville and Luigi Sedda",
year = "2024",
month = mar,
day = "1",
doi = "10.1136/bmjopen-2023-077635",
language = "English",
volume = "14",
journal = "BMJ Open",
issn = "2044-6055",
publisher = "BMJ Publishing Group Ltd",
number = "3",

}

RIS

TY - JOUR

T1 - Determining the distance patterns in the movements of future doctors in UK between 2002 and 2015

T2 - a retrospective cohort study

AU - Hitchings, Lucy

AU - Fleet, Ben

AU - Smith, Daniel Thomas

AU - Read, Jonathan M

AU - Melville, Colin

AU - Sedda, Luigi

PY - 2024/3/1

Y1 - 2024/3/1

N2 - ObjectiveTo determine and identify distance patterns in the movements of medical students and junior doctors between their training locations.DesignA 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.

AB - ObjectiveTo determine and identify distance patterns in the movements of medical students and junior doctors between their training locations.DesignA 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.

U2 - 10.1136/bmjopen-2023-077635

DO - 10.1136/bmjopen-2023-077635

M3 - Journal article

VL - 14

JO - BMJ Open

JF - BMJ Open

SN - 2044-6055

IS - 3

M1 - e077635

ER -