Where should I care? A data linkage study to explore the association between geographical mobility and nurse employment in the first year of practice

ObjectivesTo identify the factors influencing nurses’ geographic relocation within their first year after registration as they seek employment. MethodIn England and Wales, 630,000 nurses are listed on the professional register maintained by the Nursing and Midwifery Council. This register has been linked to the 2021 census for England and Wales, creating a unique dataset that integrates geographic, social, and professional data. The register indicates the length of time since initial registration, while migration is determined based on census responses detailing current area of residence (as of 21 March 2021) and location 12 months prior. The census also provides data on occupation and employment status, including full-time and part-time work. ResultsPatterns of nurse migration within the first year of practice in England and Wales will be analyzed and compared with those registered for 2–5, 6–10, and more than 10 years. Geographic variations in in-migration and out-migration rates will be mapped at the Government Office Region level. Logistic regression models will identify factors predicting relocation for employment among newly registered nurses, compared to those who remain in place. Employment patterns (full-time vs. part-time), caregiving responsibilities, housing tenure, as well as other socio-demographic and professional factors will be examined to assess influences on mobility, including life-course stage, within the nursing workforce. ConclusionNurse relocation may contribute to localized workforce shortages. By understanding the factors that encourage stability or drive mobility, we can enhance workforce planning, funding allocations, and nursing education strategies. Policy recommendations will be provided to support recruitment and retention efforts, which are critical to delivering the NHS Long-term Plan.

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Publication Details

Journal
International Journal for Population Data Science
Published
2025-08-28
DOI
https://doi.org/10.23889/ijpds.v10i4.3279
Primary Topic
Global Health Workforce Issues
Type
article
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article

Where should I care? A data linkage study to explore the association between geographical mobility and nurse employment in the first year of practice

David Manley, Iain Atherton, Richard G. Kyle, Lucina Rolewicz et al.
International Journal for Population Data Science
Global Health Workforce Issues
article

Where should I care? A data linkage study to explore the association between geographical mobility and nurse employment in the first year of practice

David Manley, Iain Atherton, Richard G. Kyle, Lucina Rolewicz, William Palmer, Michelle Jamieson
article en

Abstract

ObjectivesTo identify the factors influencing nurses’ geographic relocation within their first year after registration as they seek employment. MethodIn England and Wales, 630,000 nurses are listed on the professional register maintained by the Nursing and Midwifery Council. This register has been linked to the 2021 census for England and Wales, creating a unique dataset that integrates geographic, social, and professional data. The register indicates the length of time since initial registration, while migration is determined based on census responses detailing current area of residence (as of 21 March 2021) and location 12 months prior. The census also provides data on occupation and employment status, including full-time and part-time work. ResultsPatterns of nurse migration within the first year of practice in England and Wales will be analyzed and compared with those registered for 2–5, 6–10, and more than 10 years. Geographic variations in in-migration and out-migration rates will be mapped at the Government Office Region level. Logistic regression models will identify factors predicting relocation for employment among newly registered nurses, compared to those who remain in place. Employment patterns (full-time vs. part-time), caregiving responsibilities, housing tenure, as well as other socio-demographic and professional factors will be examined to assess influences on mobility, including life-course stage, within the nursing workforce. ConclusionNurse relocation may contribute to localized workforce shortages. By understanding the factors that encourage stability or drive mobility, we can enhance workforce planning, funding allocations, and nursing education strategies. Policy recommendations will be provided to support recruitment and retention efforts, which are critical to delivering the NHS Long-term Plan.

International Journal for Population Data ScienceVol. 10(4)
Nuffield Trust (GB), University of Exeter (GB), Edinburgh Napier University (GB), University of Bristol (GB)
Openalex Percentile: Top 65%
Global Health Workforce Issues
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