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Staff mix and nursing home quality by level of case mix in Korea
- Source :
- Geriatrics & Gerontology International. 19:438-443
- Publication Year :
- 2019
- Publisher :
- Wiley, 2019.
-
Abstract
- Aim The purpose of the present study was to identify the relationship between staff mix in nursing homes and quality of care by level of case mix in Korea. Methods Data used in the present study came from Long-Term Care Insurance claims data with basic information of nursing homes with >29 beds (n = 1137) and quality evaluation reports. Staff mix was calculated as the number of nursing staff, social workers and care workers per total staff number. Results In multinomial logistic regression analyses, institutions with a higher ratio of social workers were classified as top-quality class institutes after controlling ownership, location, size and percentage of high level of care needs residents. In analyzing the higher case mix nursing homes, institutions with a high ratio of nursing staff and social workers were more likely to be classified as top-quality class than the lowest class institutions. However, there was no significant association between quality of care and ratio of staff mix in the lower case mix nursing homes. Conclusions A higher staff mix was positively related to nursing home quality of care, but the relationship was affected by case mix of residents' care demand. Therefore, the current minimum staffing standard for personnel in nursing homes should be modified considering the acuity of the residents. Geriatr Gerontol Int 2019; 19: 438-443.
- Subjects :
- Adult
Male
Health Personnel
media_common.quotation_subject
Staffing
Social Workers
03 medical and health sciences
0302 clinical medicine
Case mix index
Nursing
030502 gerontology
Republic of Korea
Homes for the Aged
Humans
Medicine
Quality (business)
Quality of care
Diagnosis-Related Groups
Aged
Quality of Health Care
media_common
Multinomial logistic regression
Health Services Needs and Demand
Social work
business.industry
Quality Improvement
Nursing Homes
Human resource management
Female
Nursing Staff
0305 other medical science
business
Nursing homes
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 14470594 and 14441586
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- Geriatrics & Gerontology International
- Accession number :
- edsair.doi.dedup.....2b1dd2a66345cdf3f52097bc53387397
- Full Text :
- https://doi.org/10.1111/ggi.13631