Abstract

Identify predictors of long-term care (LTC) facility residents' self-reported quality of life (QoL). QoL of a convenience sample of 928 residents from 48 volunteer LTC facilities across six Canadian provinces was assessed using the inter-Resident Assessment Instrument (interRAI) Self-Report Nursing Home Quality of Life Survey. Multivariate regression models were used to identify predictors. In logistic regression modeling, residents who were religious and socially engaged, had a positive global disposition, or resided in rural, private, or municipal facilities were less likely to report low QoL. Those with post-secondary education and who were dependent on activities of daily living were more likely to report low QoL. These factors, except for religiosity and residence in municipal facilities, were significant in generalized estimating equation (GEE) modeling. QoL is significantly associated with select resident and LTC facility characteristics with implications for improving residents' QoL and LTC facility programming, and guiding future research and social policy development.

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