Title: Experiences of staff managing self-harm algorithmically
year: 2013
Journal: The Journal of Forensic Practice
Volume: 15
Issue: 4
Pages: 249-258
DOI: doi:10.1108/JFP-08-2012-0008
Abstract: Purpose – An algorithmic approach to managing self-harm has been introduced within a women's enhanced medium secure. This paper explores the experiences and perspectives of nursing staff using the model. Design/methodology/approach – Purposive sampling was used to gather the experiences of a cross-section of nursing staff of different grades. Semi-structured interviews collected data relating to their experiences using the model as well as their satisfaction with the model in terms of its effectiveness and safety for staff and patients. Findings – Nursing staff described themselves as being confident with the model and were clearly implementing it safely and effectively. They described the model as addressing the challenge of managing self-harm alongside the risk of violence, and also described the importance of effectively marrying individualised assessment and planning with the algorithmic approach. The difficulty for staff new to the ward was also described and this is a useful focus for further development and evaluation. Practical implications – Nursing staff describe the algorithmic approach to managing self-harm in use on this ward as safe and effective and it could usefully be trialled in other areas which manage difficult and potentially high-lethality self-harm. Originality/value – The algorithmic model is a new approach to dealing with the challenging levels of self-harm within the service, and there is a clear need to ensure that the end-users of model are confident that they are using it safely and effectively. This paper describes this work as well as expanding on some of the complexities of managing self-harm day-to-day in this challenging environment.
URL: http://www.emeraldinsight.com/doi/abs/10.1108/JFP-08-2012-0008
URI: https://open-access.imh.com.sg/handle/123456789/4649
Appears in Collections:2013

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.