Predicting nursing facility residents' quality of life using external indicators.
OBJECTIVE
A newly developed brief measure of nursing facility (NF) resident self-reported quality of life (QOL) has been proposed for inclusion in a modified version of the minimum data set (MDS). There is considerable interest in determining whether it is possible to develop indicators of QOL that are more convenient and less expensive than direct, in-person interviews with residents.


METHODS
QOL interview data from 2,829 residents living in 101 NFs using a 14-item version of a longer instrument were merged with data from the MDS and the Online Survey and Certification Automated Record (OSCAR). Bivariate and multivariate hierarchical linear modeling were used to assess the association of QOL with potential resident and facility level indicators.


RESULTS
Resident and facility level indicators were associated with self-reported QOL in the expected direction. At the individual resident level, QOL is negatively associated with physical function, visual acuity, continence, being bedfast, depression, conflict in relationships, and positively associated with social engagement. At the facility level, QOL is negatively associated with citations for failing to accommodate resident needs or providing a clean, safe environment. The ratio of activities staff to residents is positively associated with QOL. This study did not find an association between QOL and either use of restraints or nurse staff levels. Approximately 9 percent of the total variance in self-reported QOL can be attributed to differences among facilities; 91 percent can be attributed to differences among residents. Resident level indicators explained about 4 percent of the variance attributable to differences among residents, and facility factors explained 49 percent of the variance attributable to differences among NFs. However, the different variables explained only 10 percent of the variance in self-reported QOL.


CONCLUSIONS
A brief self-report measure of NF resident QOL is consistently associated with measures that can be constructed from extant data sources. However, the level of prediction possible from these data sources does not justify reliance on external indicators of resident QOL for policy purposes.
Degenholtz
Howard B
HB
Department of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, PA 15213, USA.
Kane
Rosalie A
RA
Kane
Robert L
RL
Bershadsky
Boris
B
Kling
Kristen C
KC
D000368:Aged; D000369:Aged, 80 and over; D003625:Data Collection / Q000379:methods; D005260:Female; D006302:Health Services Research / Q000379:methods*; D006707:Homes for the Aged / Q000458:organization & administration*; D006801:Humans; D008297:Male; D009735:Nursing Homes / Q000458:organization & administration*; D011785:Quality Assurance, Health Care / Q000458:organization & administration; D011788:Quality of Life