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Consumer Factors Predicting Level of Treatment Response to Illness Management and Recovery.
- Source :
-
Psychiatric Rehabilitation Journal . Dec2017, Vol. 40 Issue 4, p344-353. 10p. - Publication Year :
- 2017
-
Abstract
- Objective: This study aims to identify consumer-level predictors of level of treatment response to illness management and recovery (IMR) to target the appropriate consumers and aid psychiatric rehabilitation settings in developing intervention adaptations. Method: Secondary analyses from a multisite study of IMR were conducted. Self-report data from consumer participants of the parent study (n = 236) were analyzed for the current study. Consumers completed prepost surveys assessing illness management, coping, goal-related hope, social support, medication adherence, and working alliance. Correlations and multiple regression analyses were run to identify self-report variables that predicted level of treatment response to IMR. Results: Analyses revealed that goal-related hope significantly predicted level of improved illness self-management, F(1, 164) = 10.93, p < .001, R² = .248, R² change = .05. Additionally, we found that higher levels of maladaptive coping at baseline were predictive of higher levels of adaptive coping at follow-up, F(2, 180) = 5.29, p < .02, R² = .38, R²Conclusions and Implications for Practice: Previously, consumerlevel predictors of level of treatment response have not been explored for IMR. Although 2 significant predictors were identified, study findings suggest more work is needed. Future research is needed to identify additional consumer-level factors predictive of IMR treatment response in order to identify who would benefit most from this treatment program. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MENTAL illness treatment
*ADAPTABILITY (Personality)
*PSYCHOLOGICAL adaptation
*CONVALESCENCE
*DRUGS
*MEDICAL cooperation
*REHABILITATION of people with mental illness
*PATIENT compliance
*RESEARCH
*HEALTH self-care
*PATIENT participation
*DISEASE management
*DATA analysis
*MULTIPLE regression analysis
*SECONDARY analysis
*SOCIAL support
*DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 1095158X
- Volume :
- 40
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Psychiatric Rehabilitation Journal
- Publication Type :
- Academic Journal
- Accession number :
- 136403726
- Full Text :
- https://doi.org/10.1037/prj0000284