J Korean Acad Nurs.  2019 Apr;49(2):161-170. 10.4040/jkan.2019.49.2.161.

Public Reporting on the Quality Ratings of Nursing Homes in the Republic of Korea

• Lee HY
• Shin JH

• KMID: 2444831
• DOI: http://doi.org/10.4040/jkan.2019.49.2.161

Abstract

BACKGROUND
Quality ratings could provide vital information to help people in choosing a nursing home. PURPOSE: This study investigated factors aligned with quality ratings of nursing homes.
METHODS
We employed a cross-sectional descriptive design to assess publicly available data on 1,354 nursing homes with 30 or more beds in the Republic of Korea. After excluding 289 nursing homes with no reported quality-evaluation ratings, we analyzed the 2015 data of 1,065 nursing homes. To prevent multicollinearity among independent variables, we carefully selected the final set of variables based on clinical and theoretical meaningfulness to direct nursing care. Quality, the ordinal outcome, was scored from 1 to 5 with a higher score indicating higher quality of the organization. We constructed a multivariate ordered logistic regression model.
RESULTS
Higher quality ratings of nursing homes was significantly related to the number of unoccupied beds (OR=0.99, p=.024), registered nurses (RNs) (OR=1.30, p=.003), qualified care workers (OR=1.03, p=.011), cognitive-improvement programs (OR=1.05, p=.024), and other programs for residents' activities (OR=1.09, p<.001).
CONCLUSION
The number of RNs had the strongest influence on the publicly reported quality rating, while the rating of qualified care workers demonstrated little effect and that of nursing assistants had no effect. The number of RNs could be used as a crucial indicator for high-quality homes; more resident-engaging programs also demonstrated better quality of nursing home care.

Keyword

Korea; Nursing Homes; Quality of Health Care; Annual Report

MeSH Terms

Humans
Korea
Logistic Models
Nurses
Nursing Care
Nursing Homes*
Nursing*
Quality of Health Care
Republic of Korea*

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