ORIGINAL RESEARCH article
Front. Psychiatry
Sec. Public Mental Health
Volume 16 - 2025 | doi: 10.3389/fpsyt.2025.1648044
This article is part of the Research TopicWomen Offenders: The Challenge of Evidence-based Practice in Correctional and Forensic Mental Health ServicesView all 4 articles
Collecting resource use data for economic evaluation in a prison setting with a focus on self-harm: the Prison Data Inventory (Self-harm) (PDI(SH))
Provisionally accepted
- 1Lancashire Care NHS Foundation Trust, Preston, United Kingdom
- 2The University of Manchester, Manchester, United Kingdom
- 3King's College London, London, United Kingdom
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Self-harm is a common and escalating problem in prisons, particularly in women. Understanding and measuring the costs of self-harm allow high-quality evaluation of new interventions. Here, we describe the co-development of a new resource inventory, the Prison Data Inventory (Self-harm). An existing forensic resource use tool, the SF-SUS, was adapted with prison staff and people with experience of being in prison. Piloting showed that the tool takes researchers approximately two hours to complete per person. This tool will allow use of existing prison data to improve the evidence base for reducing self-harm in prisons. In turn this will enable policy makers and commissioners to allocate resources most effectively, improving clinical outcomes.
Keywords: self-harm, Prison, cost, resources, Cost-Effectiveness
Received: 16 Jun 2025; Accepted: 14 Oct 2025.
Copyright: © 2025 Robinson, Gutridge, Meacock, Barrett and Abel. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Louise Robinson, louise.robinson@manchester.ac.uk
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