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Research Article  |   March 2005
An Outcome in Need of Clarity: Building a Predictive Model of Subjective Quality of Life for Persons With Severe Mental Illness Living in the Community
Author Affiliations
  • Peiying Sarah Chan, MSc, OT Reg (Ont), NRCS, is Doctoral Student, Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida. At the time of the study Ms. Chan was a graduate student in the School of Rehabilitation Therapy at Queen’s University, Kingston, Ontario, Canada
  • Terry Krupa, PhD, OT Reg(Ont), is Associate Professor and Chair, Occupational Therapy Program, School of Rehabilitation Therapy, Faculty of Health Sciences, Queen’s University, Kingston, Ontario, Canada KL7 3N6; krupat@post.queensu.ca
  • J. Stuart Lawson, PhD, is Professor, Department of Psychiatry, Queen’s University, Kingston, Ontario, Canada
  • Shirley Eastabrook, PhD, RN, is Assistant Professor, School of Nursing, Faculty of Health Sciences, Queen’s University, Kingston, Ontario, Canada
Article Information
Mental Health / Community-Based Mental Health Practice
Research Article   |   March 2005
An Outcome in Need of Clarity: Building a Predictive Model of Subjective Quality of Life for Persons With Severe Mental Illness Living in the Community
American Journal of Occupational Therapy, March/April 2005, Vol. 59, 181-190. doi:10.5014/ajot.59.2.181
American Journal of Occupational Therapy, March/April 2005, Vol. 59, 181-190. doi:10.5014/ajot.59.2.181
Abstract

PURPOSE. The study purpose was to construct a predictive model of subjective quality of life for persons with severe mental illness living in the community with particular attention to participation in occupations.

METHOD. Persons with severe mental illness (N = 154) rated their subjective quality of life. Several measures for each of the following categories of variables were completed: demographics, clinical, social participation, and self-measured well-being. Regression analysis was used to determine the significant predictors for each category and then to build the predictive model from these significant variables.

RESULTS. Symptom distress accounted for the most variance (33%) in subjective quality of life, followed by psychological integration (3%) and physical integration (2%).

CONCLUSIONS. The study suggests that occupational therapists should attend to subjective experience of symptoms to influence quality of life. Therapists are also in a good position to address their clients’ sense of belonging to their communities and to enable community participation.