A systematic review of co-responder models of police mental health ‘street’ triage
Citation
Stephen Puntis, Devon Perfect, Abirami Kirubarajan, Sorcha Bolton, Fay Davies, Aimee Hayes, Eli Harriss and Andrew Molodynski, 'A systematic review of co-responder models of police mental health ‘street’ triage', BMC Psychiatry (2018) 18:256
Abstract
Background:
Police mental health street triage is an increasingly common intervention when dealing with police incidents in which there is a suspected mental health component. We conducted a systematic review of street triage interventions with three aims. First, to identify papers reporting on models of co-response police mental health street triage. Second, to identify the characteristics of service users who come in to contact with these triage services. Third, to evaluate the effectiveness of co-response triage services.
Methods:
We conducted a systematic review. We searched the following databases: Ovid MEDLINE, Embase, PsycINFO, EBSCO CINAHL, Scopus, Thompson Reuters Web of Science Core Collection, The Cochrane Library, ProQuest National Criminal Justice Reference Service Abstracts, ProQuest Dissertations & Theses, EThoS, and OpenGrey. We searched reference and citation lists. We also searched for other grey literature through Google, screening the first 100 PDFs of each of our search terms. We performed a narrative synthesis of our results.
Results:
Our search identified 11,553 studies. After screening, 26 were eligible. Over two-thirds (69%) had been published within the last 3 years. We did not identify any randomised control trials. Results indicated that street triage might reduce the number of people taken to a place of safety under S136 of the Mental Health Act where that power exists, or reduce the use of police custody in other jurisdictions.
Conclusions:
There remains a lack of evidence to evaluate the effectiveness of street triage and the characteristics, experience, and outcomes of service users. There is also wide variation in the implementation of the co-response model, with differences in hours of operation, staffing, and incident response.
Description
Published online at https://doi.org/10.1186/s12888-018-1836-2 . This is an Open Access article under the Creative Commons Attribution (CC BY 4.0) license (http://creativecommons.org/licenses/by/4.0/).
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