Mental Health Crisis and Policing Demand

ObjectivesPolice are frequently called to assist in situations where mental ill health, rather than crime, is the primary concern. There is an urgent need to reduce this demand on police by improving appropriate health service delivery. This research examines police interactions in which an individual is identified as being vulnerable due to a mental health concern. We aim to determine the demographic, health, and social factors that are associated with being identified by police as vulnerable due to a mental health concern and assess patterns of health system service use preceding police contact to identify potential points for intervention. MethodsA dataset of police records for individuals identified as vulnerable due to a mental health concern is linked to health and social administrative data including: information on mental ill health, alcohol and drug related problems, disabilities and long-term illnesses, Accident and Emergency calls, hospital visits, and demographic characteristics. We describe a cohort of individuals identified by police as vulnerable due to a mental health concern and assess their traits and patterns of healthcare service use compared to the general population. ResultsThe results allow us to better understand who comes into contact with the police while experiencing mental health difficulties and point to the risk factors indicating where to concentrate resources for improved health service delivery. Conclusions/ImplicationsThis research will improve partnership working between the police and healthcare services, reduce unnecessary police demand, and improve outcomes for people suffering from mental health crisis.

Authors

Publication Details

Journal
International Journal for Population Data Science
Published
2024-09-10
DOI
https://doi.org/10.23889/ijpds.v9i5.2504
Primary Topic
Employment and Welfare Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mental Health Crisis and Policing Demand

Susan McVie, Allison Kurpiel
International Journal for Population Data Science
Employment and Welfare Studies
article

Mental Health Crisis and Policing Demand

Susan McVie, Allison Kurpiel
article en

Abstract

ObjectivesPolice are frequently called to assist in situations where mental ill health, rather than crime, is the primary concern. There is an urgent need to reduce this demand on police by improving appropriate health service delivery. This research examines police interactions in which an individual is identified as being vulnerable due to a mental health concern. We aim to determine the demographic, health, and social factors that are associated with being identified by police as vulnerable due to a mental health concern and assess patterns of health system service use preceding police contact to identify potential points for intervention. MethodsA dataset of police records for individuals identified as vulnerable due to a mental health concern is linked to health and social administrative data including: information on mental ill health, alcohol and drug related problems, disabilities and long-term illnesses, Accident and Emergency calls, hospital visits, and demographic characteristics. We describe a cohort of individuals identified by police as vulnerable due to a mental health concern and assess their traits and patterns of healthcare service use compared to the general population. ResultsThe results allow us to better understand who comes into contact with the police while experiencing mental health difficulties and point to the risk factors indicating where to concentrate resources for improved health service delivery. Conclusions/ImplicationsThis research will improve partnership working between the police and healthcare services, reduce unnecessary police demand, and improve outcomes for people suffering from mental health crisis.

International Journal for Population Data ScienceVol. 9(5)
Economic and Social Research Council
Openalex Percentile: Top 74%
Employment and Welfare Studies
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.