Judith Godin1,2, Janice Keefe3, E Kevin Kelloway4, John P Hirdes5. 1. Nova Scotia Centre on Aging, Mount Saint Vincent University, 166 Bedford Highway, Halifax, NS, B3M 2J6, Canada. Judith.Godin@nshealth.ca. 2. Geriatric Medicine Research, Nova Scotia Health Authority, 5955 Veteran's Memorial Lane, Halifax, NS, B3H 2E1, Canada. Judith.Godin@nshealth.ca. 3. Department of Family Studies and Gerontology, Nova Scotia Centre on Aging, Mount Saint Vincent University, 166 Bedford Highway, Halifax, NS, B3M 2J6, Canada. 4. Department of Psychology, Saint Mary's University, 923 Robie Street, Halifax, NS, B3H 3C3, Canada. 5. School of Public Health and Health Systems, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada.
Abstract
PURPOSE: This study explores the factor structure of the interRAI self-report nursing home quality of life survey and develops a measure that will allow researchers to compare predictors of quality of life (QOL) across resident, family, and staff perspectives. METHODS: Nursing home residents (N = 319), family members (N = 397), and staff (N = 862) were surveyed about their perceptions of resident QOL. Exploratory factor analyses were conducted on a random half of the staff data. Subsequently, confirmatory factor analysis was used to test for measurement equivalence across the three perspectives. RESULTS: The final model had a four-factor structure (i.e., care and support, food, autonomy, and activities) across all three perspectives. Each factor had at least two items that were equivalent across all three perspectives, which suggests at least partial measurement equivalence. CONCLUSION: The finding of partial measurement equivalence acknowledges there are important differences between perspectives and provides a tool that researchers can use to compare predictors of QOL, but not levels of agreement across perspectives. Targeting these four aspects is likely to have the additional benefit of improving family and staff perceptions of resident QOL in addition to the resident's own QOL.
PURPOSE: This study explores the factor structure of the interRAI self-report nursing home quality of life survey and develops a measure that will allow researchers to compare predictors of quality of life (QOL) across resident, family, and staff perspectives. METHODS: Nursing home residents (N = 319), family members (N = 397), and staff (N = 862) were surveyed about their perceptions of resident QOL. Exploratory factor analyses were conducted on a random half of the staff data. Subsequently, confirmatory factor analysis was used to test for measurement equivalence across the three perspectives. RESULTS: The final model had a four-factor structure (i.e., care and support, food, autonomy, and activities) across all three perspectives. Each factor had at least two items that were equivalent across all three perspectives, which suggests at least partial measurement equivalence. CONCLUSION: The finding of partial measurement equivalence acknowledges there are important differences between perspectives and provides a tool that researchers can use to compare predictors of QOL, but not levels of agreement across perspectives. Targeting these four aspects is likely to have the additional benefit of improving family and staff perceptions of resident QOL in addition to the resident's own QOL.
Keywords:
Family perceptions; InterRAI; Long-term care; Measurement equivalence; Nursing home residents; Quality of life; Staff perceptions
Authors: Iris Eekhout; R Michiel de Boer; Jos W R Twisk; Henrica C W de Vet; Martijn W Heymans Journal: Epidemiology Date: 2012-09 Impact factor: 4.822
Authors: Graziano Onder; Iain Carpenter; Harriet Finne-Soveri; Jacob Gindin; Dinnus Frijters; Jean Claude Henrard; Thorsten Nikolaus; Eva Topinkova; Matteo Tosato; Rosa Liperoti; Francesco Landi; Roberto Bernabei Journal: BMC Health Serv Res Date: 2012-01-09 Impact factor: 2.655
Authors: Mary D Naylor; Karen B Hirschman; Alexandra L Hanlon; Katherine M Abbott; Kathryn H Bowles; Janice Foust; Shivani Shah; Cynthia Zubritsky Journal: J Am Med Dir Assoc Date: 2015-09-26 Impact factor: 4.669