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Related Experiment Videos

What is recovery? A conceptual model and explication.

N Jacobson1, D Greenley

  • 1Clinical Science Center, University of Wisconsin School of Nursing, Madison, 53792, USA. najacobson@facstaff.wisc.edu

Psychiatric Services (Washington, D.C.)
|March 29, 2001
PubMed
Summary
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This paper presents a conceptual model for mental illness recovery, focusing on internal experiences like hope and external factors such as human rights and recovery-oriented services to guide Wisconsin

Area of Science:

  • Mental Health Services Research
  • Psychiatry
  • Public Health Policy

Background:

  • The state of Wisconsin aims to establish a recovery-oriented mental health system.
  • Existing frameworks for mental illness recovery require further conceptualization and practical application.

Purpose of the Study:

  • To describe a conceptual model of recovery from mental illness.
  • To guide the development of a recovery-oriented mental health system in Wisconsin.
  • To link abstract recovery concepts with actionable strategies.

Main Methods:

  • Development of a conceptual model based on existing literature and expert input.
  • Defining recovery through both internal experiences and external facilitating conditions.
  • Identifying specific strategies for systems, agencies, and individuals.

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Main Results:

  • Recovery is conceptualized as encompassing internal states (hope, healing, empowerment, connection) and external conditions (human rights, positive healing culture, recovery-oriented services).
  • The model provides a framework to operationalize recovery principles within a mental health system.
  • Specific strategies are proposed to facilitate recovery at multiple levels.

Conclusions:

  • The conceptual model offers a structured approach to understanding and implementing mental illness recovery.
  • It serves as a practical tool for Wisconsin's mental health system transformation.
  • Facilitating recovery requires a multi-faceted approach addressing individual experiences and systemic factors.