Unknown

Dataset Information

Resident- and Facility-Level Predictors of Quality of Life in Long-Term Care.


ABSTRACT:

Purpose of the study

Although there is substantial research on quality of care in nursing homes (NH), less is known about what contributes to quality of life (QOL) for NH residents. This study assesses multiple domains of QOL and examines facility- and resident-level correlates for different domains.

Design and methods

Data come from (a) self-reported resident interviews using a multidimensional measure of QOL; (b) resident clinical data from the Minimum Data Set; and (c) facility-level characteristics from Minnesota Department of Human Services. We used factor analysis to confirm domains of QOL, and then employed cross-sectional hierarchical linear modeling to identify significant resident- and facility-level predictors of each domain.

Results

We examined six unique

SUBMITTER: Shippee TP 

PROVIDER: S-EPMC4542585 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature