Using resident reports of quality of life to distinguish among nursing homes

Robert L Kane; Boris Bershadsky; Rosalie A Kane; Howard H. Degenholtz; Jiexin Liu; Katherine Giles; Kristen C Kling

doi:10.1093/geront/44.5.624

Using resident reports of quality of life to distinguish among nursing homes

Robert L Kane, Boris Bershadsky, Rosalie A Kane, Howard H. Degenholtz, Jiexin Liu, Katherine Giles, Kristen C Kling

Research output: Contribution to journal › Article › peer-review

69 Scopus citations

Abstract

Purpose: We used measures created to assess the quality of life (QOL) of nursing home residents to distinguish among nursing facilities. Design and Methods: We statistically adjusted scores for 10 QOL domains derived from standardized interviews with nursing home residents for age, gender, activities of daily living functioning, cognitive functioning, and length of stay, and then we aggregated them to the facility level. We compared the patterns across a sample of 40 facilities. We correlated facility characteristics with QOL scores. Results: The pattern of QOL scores for each of the 10 domains was generally consistent within a given facility. Although resident characteristics played a major role in explaining variance, there were significant effects of facilities as well. Some modest relationships were found between facility characteristics such as ownership, percentage of private rooms, and rural-urban location and facility QOL scores. No effect of facility size was detected. Implications: This article shows that it is possible to differentiate among facilities on the basis of resident self-reported QOL. On the basis of our analysis, we find that a sample of 28 residents per facility is sufficient to generate a reliable QOL score for each of the domains studied.

Original language	English (US)
Pages (from-to)	624-632
Number of pages	9
Journal	Gerontologist
Volume	44
Issue number	5
DOIs	https://doi.org/10.1093/geront/44.5.624
State	Published - Oct 2004

Bibliographical note

Funding Information:
This research was supported by a 1998 contract from the Centers for Medicare and Medicaid Services (CMS; under Master Contract 500-96-0008). The content and opinions are solely those of the authors and should not be construed as representing the policy of CMS or the University of Minnesota. We thank our CMS project officers, Mary Pratt and Karen Schoeneman. We also thank M. Powell Lawton, an investigator on this project until his death in 2001; the articles based on Wave 1 of this data collection are gratefully dedicated to his memory.

Keywords

Nursing homes
Quality of life
Resident reports

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abstract = "Purpose: We used measures created to assess the quality of life (QOL) of nursing home residents to distinguish among nursing facilities. Design and Methods: We statistically adjusted scores for 10 QOL domains derived from standardized interviews with nursing home residents for age, gender, activities of daily living functioning, cognitive functioning, and length of stay, and then we aggregated them to the facility level. We compared the patterns across a sample of 40 facilities. We correlated facility characteristics with QOL scores. Results: The pattern of QOL scores for each of the 10 domains was generally consistent within a given facility. Although resident characteristics played a major role in explaining variance, there were significant effects of facilities as well. Some modest relationships were found between facility characteristics such as ownership, percentage of private rooms, and rural-urban location and facility QOL scores. No effect of facility size was detected. Implications: This article shows that it is possible to differentiate among facilities on the basis of resident self-reported QOL. On the basis of our analysis, we find that a sample of 28 residents per facility is sufficient to generate a reliable QOL score for each of the domains studied.",

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AU - Giles, Katherine

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N2 - Purpose: We used measures created to assess the quality of life (QOL) of nursing home residents to distinguish among nursing facilities. Design and Methods: We statistically adjusted scores for 10 QOL domains derived from standardized interviews with nursing home residents for age, gender, activities of daily living functioning, cognitive functioning, and length of stay, and then we aggregated them to the facility level. We compared the patterns across a sample of 40 facilities. We correlated facility characteristics with QOL scores. Results: The pattern of QOL scores for each of the 10 domains was generally consistent within a given facility. Although resident characteristics played a major role in explaining variance, there were significant effects of facilities as well. Some modest relationships were found between facility characteristics such as ownership, percentage of private rooms, and rural-urban location and facility QOL scores. No effect of facility size was detected. Implications: This article shows that it is possible to differentiate among facilities on the basis of resident self-reported QOL. On the basis of our analysis, we find that a sample of 28 residents per facility is sufficient to generate a reliable QOL score for each of the domains studied.

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Using resident reports of quality of life to distinguish among nursing homes

Abstract

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