Purpose: This study identified factors related to the quality of care in nursing homes, and elicited consensus opinions from experts on nursing homes. Methods: A Delphi questionnaire was developed based on a review of the literature using the keywords “nursing homes,” “workforce,” and “quality of care.” A total of two Delphi surveys were conducted with 14 experts. The important and urgent factors related to the quality of care for nursing home residents emerged. Results: A consensus was achieved on the important and urgent factors relating to the quality of care.The related factors were grouped into four sections: Organizational Characteristics, Staffing Characteristics, the Long-Term Care Market and Legal and Policy Issues, and Nursing Processes. In total, 23 items were important factors and 26 items were urgent factors relating to the quality of care. In addition, the unanimous advocacy by the experts for increased hours per resident day for registered nurses (RNs, 41 minutes 59 seconds) was much higher than the current hours per resident day of RNs in Korea. Conclusion To provide optimal care for residents in nursing homes in Korea, the mandatory and essential placement of RNs with professional knowledge and skills is paramount.

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

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.

PURPOSE: This study identified factors related to the quality of care in nursing homes, and elicited consensus opinions from experts on nursing homes.METHODS: A Delphi questionnaire was developed based on a review of the literature using the keywords “nursing homes,” “workforce,” and “quality of care.” A total of two Delphi surveys were conducted with 14 experts. The important and urgent factors related to the quality of care for nursing home residents emerged.RESULTS: A consensus was achieved on the important and urgent factors relating to the quality of care. The related factors were grouped into four sections: Organizational Characteristics, Staffing Characteristics, the Long-Term Care Market and Legal and Policy Issues, and Nursing Processes. In total, 23 items were important factors and 26 items were urgent factors relating to the quality of care. In addition, the unanimous advocacy by the experts for increased hours per resident day for registered nurses (RNs, 41 minutes 59 seconds) was much higher than the current hours per resident day of RNs in Korea.CONCLUSION: To provide optimal care for residents in nursing homes in Korea, the mandatory and essential placement of RNs with professional knowledge and skills is paramount.
Consensus ; Humans ; Korea ; Long-Term Care ; Methods ; Nurses ; Nursing Homes ; Nursing Process ; Nursing ; Quality of Health Care