Skip to main navigation Skip to search Skip to main content

Variation across police response models for handling encounters with people with mental illnesses: A systematic review and meta-analysis

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: The purpose of this study was to synthesize previous empirical research that examined the outcomes of police response models (PRMs) for handling people with mental illness (PWMI). Methods: The current study utilized a systematic review and meta-analysis to assess outcomes of all PRMs documented in the available scholarly literature. Results: Findings from the meta-analysis revealed that the three main types of PRMs noted in the scholarly literature (e.g., the CIT, co-response models, and other models with reduced training hours) were effective in improving “self-reported changes in officer perception” or “self-reported changes in PWMI perception” outcomes (e.g., attitudes toward PWMI and perceived procedural justice of PWMI) related to police encounters with the mentally ill. However, the PRMs seemed to have little impact on official, “observed officer behavior” outcomes, including reducing arrests and excessive use-of-force. Conclusions: PRMs offer a moderately effective solution for processing incidents with PWMI, although the effects of PRMs are different depending on the model implemented and the outcome measures considered.

Original languageEnglish (US)
Article number101752
JournalJournal of Criminal Justice
Volume72
DOIs
StatePublished - Jan 1 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Social Psychology
  • Applied Psychology
  • Sociology and Political Science
  • Law

Fingerprint

Dive into the research topics of 'Variation across police response models for handling encounters with people with mental illnesses: A systematic review and meta-analysis'. Together they form a unique fingerprint.

Cite this