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Routine Data for Workforce Equality Monitoring: Ethnic Inequalities in Recruitment and Workforce Representation in Nursing and Midwifery
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Aim
To examine ethnic inequalities in recruitment outcomes and workforce representation across pay bands among nursing and midwifery staff, and to assess whether routinely collected administrative data can generate reproducible indicators for workforce equality monitoring.
Design
Retrospective observational study.
Methods
We analyzed routinely collected administrative data from one NHS Board in Scotland. This included annual staff-in-post data for 2021/22 to 2024/25 and pooled recruitment data on interviewed candidates and conditional job offers for 2021/22 to 2023/24. Ethnicity was grouped as White and non-White. Analyses focused on Bands 5, 6 and 7. Recruitment outcomes were assessed using relative risks for receipt of a conditional job offer among interviewed candidates, comparing White and non-White applicants. Workforce representation across pay bands was assessed using representation quotients. Analyses were descriptive and unadjusted.
Results
White applicants were more likely than non-White applicants to receive a conditional job offer following interview across all pay bands examined. Inequalities were also evident at Band 5, the usual entry point to registered practice. Workforce composition analyses showed a corresponding gradient in representation, with non-White staff overrepresented in Band 5 and underrepresented in Bands 6 and 7, with little change over the study period.
Conclusion
Routinely collected administrative data can generate reproducible indicators of ethnic inequality in recruitment and workforce representation. Embedded within existing workforce systems, such analyses could strengthen workforce equality monitoring, support benchmarking and enhance accountability across healthcare settings.
Impact
Utilising routine administrative data for workforce equality monitoring can support policy and practice aimed at improving accountability, retention and workforce sustainability across health systems.
Reporting Method
This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guidelines.
Patient or Public Involvement
This study did not include patient or public involvement in its design, conduct, or reporting.
Title: Routine Data for Workforce Equality Monitoring: Ethnic Inequalities in Recruitment and Workforce Representation in Nursing and Midwifery
Description:
Aim
To examine ethnic inequalities in recruitment outcomes and workforce representation across pay bands among nursing and midwifery staff, and to assess whether routinely collected administrative data can generate reproducible indicators for workforce equality monitoring.
Design
Retrospective observational study.
Methods
We analyzed routinely collected administrative data from one NHS Board in Scotland.
This included annual staff-in-post data for 2021/22 to 2024/25 and pooled recruitment data on interviewed candidates and conditional job offers for 2021/22 to 2023/24.
Ethnicity was grouped as White and non-White.
Analyses focused on Bands 5, 6 and 7.
Recruitment outcomes were assessed using relative risks for receipt of a conditional job offer among interviewed candidates, comparing White and non-White applicants.
Workforce representation across pay bands was assessed using representation quotients.
Analyses were descriptive and unadjusted.
Results
White applicants were more likely than non-White applicants to receive a conditional job offer following interview across all pay bands examined.
Inequalities were also evident at Band 5, the usual entry point to registered practice.
Workforce composition analyses showed a corresponding gradient in representation, with non-White staff overrepresented in Band 5 and underrepresented in Bands 6 and 7, with little change over the study period.
Conclusion
Routinely collected administrative data can generate reproducible indicators of ethnic inequality in recruitment and workforce representation.
Embedded within existing workforce systems, such analyses could strengthen workforce equality monitoring, support benchmarking and enhance accountability across healthcare settings.
Impact
Utilising routine administrative data for workforce equality monitoring can support policy and practice aimed at improving accountability, retention and workforce sustainability across health systems.
Reporting Method
This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guidelines.
Patient or Public Involvement
This study did not include patient or public involvement in its design, conduct, or reporting.
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