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An Integrated Recovery-oriented Model (IRM) for mental health services: evolution and challenges
Barry G Frost1,2, Srinivasan Tirupati3,4, Suzanne Johnston3
1School of Psychology, Faculty of Science and Technology, University of Newcastle, Callaghan, NSW, 2308, Australia.
Integrated Recovery-oriented Models (IRM) enhance mental health services by focusing on personal recovery and social inclusion. This approach fosters hope and self-agency, leading to improved outcomes for individuals with serious mental illness (SMI).
Area of Science:
- Mental Health Services Research
- Psychosocial Interventions
- Recovery-Oriented Care
Background:
- Improvements in outcomes for serious mental illness (SMI) have been moderate, despite recovery being possible.
- Recovery is a personal, non-linear process with diverse contributing factors.
- There is a need to refine recovery-oriented models for mental health (MH) services.
Purpose of the Study:
- To outline a service-wide Integrated Recovery-oriented Model (IRM) for MH services.
- To enhance health, wellbeing, and social inclusion outcomes for individuals with SMI.
- To increase access to evidence-based psychosocial interventions (EBIs) within a recovery-supportive service context.
Main Methods:
- The IRM integrates recovery perspectives, service frameworks, rehabilitation approaches, clinical experience, and evaluation strategies.
- The model focuses on evolving recovery needs, emphasizing hope as a catalyst.
- It incorporates clinical rehabilitation (CR) practices to facilitate access to EBIs.
Main Results:
- Core IRM components include remediation of functioning, skills restoration, and community reconnection.
- The model supports hope, recovery, self-agency, and social inclusion.
- Collaboration with community organizations is crucial for achieving IRM goals.
Conclusions:
- Improved outcomes are achievable for individuals with SMI through models like the IRM.
- The IRM validates hope, empowering individuals in self-agency and advocacy.
- Strengthening recovery-oriented practices requires robust service evaluation.
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