JOURNAL ARTICLE
What Happens after Discharge from a Forensic Psychiatric Hospital?: An Analysis of Causally Complex Patterns of Recovery among People Found Non-criminally Responsible on Account of Mental Disorder.
Published In: International Journal of Forensic Mental Health, 2023, v. 22, n. 2. P. 136 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Heylen, B.; Caulet, M.; Lemieux, A.; Seto, M. C.; Nicholls, T.; Crocker, A. G. 3 of 3
Abstract
This article examines how configurations of dynamic risk and protective factors, alongside static factors, explain recovery six months after discharge in a sample of 60 forensic psychiatric patients found non-criminally responsible on account of mental disorder (NCRMD). Using fuzzy set qualitative comparative analysis (fsQCA), the study identifies that the absence of dynamic risk factors is a necessary condition for recovery, while the presence of dynamic protective factors plays a significant but not necessary role, often in combination with other factors such as absence of symptoms and historical clinical risk factors. The findings highlight that recovery is best understood as resulting from multiple interacting conditions rather than isolated factors, emphasizing the importance of dynamic factors in both theory and intervention. Limitations include a small sample size and cross-sectional design, suggesting the need for further research to explore these configurations over time and in larger populations.
Additional Information
- Source:International Journal of Forensic Mental Health. 2023/04, Vol. 22, Issue 2, p136
- Document Type:Article
- Subject Area:Law
- Publication Date:2023
- ISSN:1499-9013
- DOI:10.1080/14999013.2022.2128111
- Accession Number:163718415
- Copyright Statement:Copyright of International Journal of Forensic Mental Health is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.