Abstract
Improving quality of nursing homes (NHs) is a major social priority, yet few studies examine the role of facility characteristics for residents’ quality of life (QOL). This study goes beyond cross-sectional analyses by examining the predictors of NH residents’ QOL on the facility level over time. We used three data sources, namely resident interviews using a multidimensional measure of QOL collected in all Medicaid-certified NHs in Minnesota (N = 369), resident clinical data from the minimum data set, and facility-level characteristics. We examined change in six QOL domains from 2007 to 2010, using random coefficient models. Eighty-one facilities improved across most domains and 85 facilities declined. Size, staffing levels (especially activities staff), and resident case mix are some of the most salient predictors of QOL over time, but predictors differ by facility performance status. Understanding the predictors of facility QOL over time can help identify facility characteristics most appropriate for targeting with policy and programmatic interventions.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 555-580 |
| Number of pages | 26 |
| Journal | Research on Aging |
| Volume | 37 |
| Issue number | 6 |
| DOIs | |
| State | Published - Aug 9 2015 |
Bibliographical note
Funding Information:The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Support for this research was provided by the Fessler-Lampert Chair on Aging, University of Minnesota Center on Aging, and a grant from the National Center for Research Resources of the National Institutes of Health to the University of Minnesota Clinical and Translational Science Institute (1KL2RR033182-02) to the first author.
Publisher Copyright:
© 2014, © The Author(s) 2014.
Keywords
- long-term care
- longitudinal analysis
- nursing homes
