Category: Schizophrenia / Psychotic Disorders

Symposium

Using Collaborative Decision Making to Increase Treatment Personalization in Serious Mental Illness

Saturday, November 18
3:30 PM - 5:00 PM
Location: Sapphire Ballroom I & J, Level 4, Sapphire Level

Keywords: Severe Mental Illness | Social Skills Training | Treatment Development
Presentation Type: Symposium

Collaborative decision-making (CDM) is a decision-making model emphasizing equal engagement and responsibility between providers and clients during decision-making processes. Using this approach to decision making has the potential to increase effective treatment personalization via known improvements in client-provider communication and knowledge about treatment options, as well as impacting downstream outcomes like treatment satisfaction and quality of life. However, due to client-level, provider-level and system-level obstacles, increasing CDM is often difficult.


Skills training is a promising approach to overcome these obstacles by increasing skills needed for clients to initiate and engage in CDM. Skills training is effective in improving in related skill domains, including cognition, cognitive flexibility and social functioning. In this presentation, a new skills training modality, Collaborative Decision Skills Training (CDST) will be introduced and initial findings discussed. CDST integrates cognitive-behavioral strategies and evidence-based skills training approaches within an empowerment-based treatment model. Proximal goals of CDST are to increase knowledge about CDM, skills related to engaging in CDM, and personal recovery. Distal goals are to increase real-world ability to initiate and engage in CDM, actual engagement in CDM, treatment personalization, and treatment outcomes.


A pilot study including 21 people with serious mental illness supported CDST’s feasibility. The pilot additionally supported preliminary evidence of effectiveness. Proximal goals including knowledge gain, skill attainment and personal recovery improved. This presentation will additionally discuss recommendations and future directions for using CDST specifically and CDM in general to enhance treatment personalization. 

Emily Treichler

Postdoctoral Fellow
VA San Diego MIRECC/UC San Diego

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