A study of policing mental health distress using linked administrative data in Scotland

ObjectivesThis research aims to improve understanding of (1) the frequency and nature of police interactions related to mental health distress and (2) the characteristics of people who have contact with Police Scotland while experiencing mental health distress, thus helping to improve organisational responses to and services for people in distress. MethodsUsing linked administrative datasets from Police Scotland and Public Health Scotland, this research examines the prevalence of one-time and repeated police contacts related to mental health distress over a two-year period. We then descriptively compare the cohort of individuals who have been in contact with the police due to mental health distress to the general Scottish population in terms of their socio-demographic characteristics, health vulnerabilities, and healthcare use. ResultsExisting data indicates that police contact for mental health distress was highly prevalent in Scotland between 2022 and 2024. We expect our study to show that these types of incidents are concentrated among a subset of the population, such that a core group of individuals have multiple contacts. We also expect to find that individuals in contact with the police for reasons related to mental health distress differ from the general Scottish population in some important respects across the domains of socio-demographic traits, health vulnerabilities, and their use of the healthcare system. ConclusionThis presentation will conclude that public health approaches to policing and cross-agency collaboration with the sector of public health are warranted, and that such efforts should be built around a solid evidence base to aid in the development of better informed, more effective policies.

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Publication Details

Journal
International Journal for Population Data Science
Published
2025-08-28
DOI
https://doi.org/10.23889/ijpds.v10i3.3017
Primary Topic
Health disparities and outcomes
Type
article
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article

A study of policing mental health distress using linked administrative data in Scotland

Susan McVie, Allison Kurpiel
International Journal for Population Data Science
Health disparities and outcomes
article

A study of policing mental health distress using linked administrative data in Scotland

Susan McVie, Allison Kurpiel
article en

Abstract

ObjectivesThis research aims to improve understanding of (1) the frequency and nature of police interactions related to mental health distress and (2) the characteristics of people who have contact with Police Scotland while experiencing mental health distress, thus helping to improve organisational responses to and services for people in distress. MethodsUsing linked administrative datasets from Police Scotland and Public Health Scotland, this research examines the prevalence of one-time and repeated police contacts related to mental health distress over a two-year period. We then descriptively compare the cohort of individuals who have been in contact with the police due to mental health distress to the general Scottish population in terms of their socio-demographic characteristics, health vulnerabilities, and healthcare use. ResultsExisting data indicates that police contact for mental health distress was highly prevalent in Scotland between 2022 and 2024. We expect our study to show that these types of incidents are concentrated among a subset of the population, such that a core group of individuals have multiple contacts. We also expect to find that individuals in contact with the police for reasons related to mental health distress differ from the general Scottish population in some important respects across the domains of socio-demographic traits, health vulnerabilities, and their use of the healthcare system. ConclusionThis presentation will conclude that public health approaches to policing and cross-agency collaboration with the sector of public health are warranted, and that such efforts should be built around a solid evidence base to aid in the development of better informed, more effective policies.

International Journal for Population Data ScienceVol. 10(4)
University of Edinburgh (GB)
Openalex Percentile: Top 72%
Health disparities and outcomes
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A study of policing mental health distress using linked administrative data in Scotland — Susan McVie, Allison Kurpiel · International Journal for Population Data Science (2025) | TGRS Research Map | TGRS