Scoping review protocol on non-pharmacological interventions for interpersonal and self-directed violence in adults with severe mental illness.

Introduction: Violence committed by people with mental illness has implications for mental health policy and clinical practice. Several strategies to reduce the risk of aggressive and violent behaviour have been proposed, and these include non-pharmacological interventions. There is, however, a need to identify which of these interventions are effective, and as a first step, we will conduct a scoping review to identify non-pharmacological interventions for self-directed or interpersonal violence in adults with severe mental illness across different conditions and settings.

A decision support system for assessing management interventions in a mental health ecosystem: The case of Bizkaia (Basque Country, Spain).

Evidence-informed strategic planning is a top priority in Mental Health (MH) due to the burden associated with this group of disorders and its societal costs. However, MH systems are highly complex, and decision support tools should follow a systems thinking approach that incorporates expert knowledge. The aim of this paper is to introduce a new Decision Support System (DSS) to improve knowledge on the health ecosystem, resource allocation and management in regional MH planning.

Use of the self-organising map network (SOMNet) as a decision support system for regional mental health planning.

Background: Decision-making in mental health systems should be supported by the evidence-informed knowledge transfer of data. Since mental health systems are inherently complex, involving interactions between its structures, processes and outcomes, decision support systems (DSS) need to be developed using advanced computational methods and visual tools to allow full system analysis, whilst incorporating domain experts in the analysis process. In this study, we use a DSS model developed for interactive data mining and domain expert collaboration in the analysis of complex mental health systems to improve system knowledge and evidence-informed policy planning.