Using the new Scottish Longitudinal Outcomes database (LEO) to understand transitions from university to practice amongst nursing students

ObjectivesNursing is facing substantial workforce challenges. Applications to study nursing have declined by 25% in Scotland, while 900 vacancies remain unfilled. The NHS Long Term Workforce Plan aims to grow the UK nursing workforce from 350,000 to 550,000 nurses by 2036/37. However, little is known about nursing students’ progression into practice. MethodsThis study proposes using the Scottish Longitudinal Outcomes database (LEO) to establish the early career trajectories of nursing students graduating from Scottish Universities. This new data linkage brings together data from Scottish universities (Higher Education Statistics Agency) from academic year 2003/04 to 2018/19 and employment data drawn from HMRC. Taken together, this will provide analysis of the early career trajectories of newly qualified nurses in Scotland. Findings will represent the first time that the Scottish LEO has been used for projects outside the Scottish Government. ResultsDescriptive statistics will ascertain the proportions of nursing students who entered into a career in healthcare using SIC codes. The extent to which first year graduates do not achieve a clinical post will be reported, other occupations entered, and the extent to which no employment is achieved. For those who do not achieve employment straightaway, or who go into positions outside of health, the length of time to first nursing position will be assessed. Results of survival models will be reported to assess how long it takes to achieve a clinical position from graduation. Models will explore the extent to which entry to clinical roles is influenced by socio-demographic characteristics and the extent to which the situation has changed over time. ConclusionTo our knowledge, this study will provide the first insights into the implications of early career nurses securing employment within nursing. Given declines in recent programme entries and costs of training, these findings will hold considerable policy potential.

Authors

Institutions

Publication Details

Journal
International Journal for Population Data Science
Published
2025-08-28
DOI
https://doi.org/10.23889/ijpds.v10i4.3179
Primary Topic
Global Health Workforce Issues
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using the new Scottish Longitudinal Outcomes database (LEO) to understand transitions from university to practice amongst nursing students

Alice Pearsons, Iain Atherton, Eleanor Mitchell, Eldon E. Shields
International Journal for Population Data Science
Global Health Workforce Issues
article

Using the new Scottish Longitudinal Outcomes database (LEO) to understand transitions from university to practice amongst nursing students

Alice Pearsons, Iain Atherton, Eleanor Mitchell, Eldon E. Shields
article en

Abstract

ObjectivesNursing is facing substantial workforce challenges. Applications to study nursing have declined by 25% in Scotland, while 900 vacancies remain unfilled. The NHS Long Term Workforce Plan aims to grow the UK nursing workforce from 350,000 to 550,000 nurses by 2036/37. However, little is known about nursing students’ progression into practice. MethodsThis study proposes using the Scottish Longitudinal Outcomes database (LEO) to establish the early career trajectories of nursing students graduating from Scottish Universities. This new data linkage brings together data from Scottish universities (Higher Education Statistics Agency) from academic year 2003/04 to 2018/19 and employment data drawn from HMRC. Taken together, this will provide analysis of the early career trajectories of newly qualified nurses in Scotland. Findings will represent the first time that the Scottish LEO has been used for projects outside the Scottish Government. ResultsDescriptive statistics will ascertain the proportions of nursing students who entered into a career in healthcare using SIC codes. The extent to which first year graduates do not achieve a clinical post will be reported, other occupations entered, and the extent to which no employment is achieved. For those who do not achieve employment straightaway, or who go into positions outside of health, the length of time to first nursing position will be assessed. Results of survival models will be reported to assess how long it takes to achieve a clinical position from graduation. Models will explore the extent to which entry to clinical roles is influenced by socio-demographic characteristics and the extent to which the situation has changed over time. ConclusionTo our knowledge, this study will provide the first insights into the implications of early career nurses securing employment within nursing. Given declines in recent programme entries and costs of training, these findings will hold considerable policy potential.

International Journal for Population Data ScienceVol. 10(4)
Edinburgh Napier University (GB), Scottish Government (GB)
Openalex Percentile: Top 65%
Global Health Workforce Issues
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.