Year: 2014
Type: article
Study design: Observational Study
Abstract: Recovery has become the overarching goal for mental health services for individuals with serious mental illness, yet little is known regarding the most salient ways that recovery is promoted.The main goal of the present study was to determine the role of various factors, including demographic, treatment, illness severity, and psychosocial characteristics, in predicting recovery processes and stages.The psychometric properties of the newly developed Transformations from Loss due to Mental Illness (TLMI) scale, which aims to measure positive changes made in response to the psychosocial losses associated with serious mental illness, were also evaluated.One hundred sixty adults with serious mental illness were recruited for the present study.After examining the psychometric properties of the TLMI, six items were eliminated from the original measure.Overall, the TLMI's construct validity was supported.The TLMI could serve as a clinical tool to identify paths to recovery or as an outcome measure to evaluate the impact of recovery interventions.Additionally, results from hierarchical regression analyses suggested that psychosocial factors were the strongest predictors of many aspects of recovery and transformations from loss.Recovery-based programming should take into account the impact of psychosocial factors, like personal loss and internalized stigma, which likely hinder the recovery process.
Author: Jaclyn Leith
Institution: Bowling Green State University
Language: English
Subfield: General Health Professions
Field: Health Professions
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W837275071