This study identified factors related to the quality of care in nursing homes, and elicited consensus opinions from experts on nursing homes.

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.

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.

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.

Quality ratings could provide vital information to help people in choosing a nursing home.

This study investigated factors aligned with quality ratings of nursing homes.

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.

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).

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.

This study aimed to develop an instrument to assess the quality of childbirth care from the perspective of a mother after delivery.

The instrument was developed from a literature review, interviews, and item validation. Thirty-eight items were compiled for the instrument. The data for validity and reliability testing were collected using a questionnaire survey conducted on 270 women who had undergone normal vaginal delivery in Korea and analyzed with descriptive statistics, exploratory factor analysis, and reliability coefficients.

The exploratory factor analysis reduced the number of items in the instrument to 28 items that were factored into four subscales: family-centered care, personal care, emotional empowerment, and information provision. With respect to convergence validation, there was positive correlation between this instrument and birth satisfaction scale (r=.34, p<.001). The internal consistency reliability was acceptable (Cronbach's alpha =.96).

This instrument could be used as a measure of the quality of nursing care for women who have a normal vaginal delivery.

Objectives of this study were to investigate the association between efficiency and quality of health care in Long-term Care Hospitals (LTCH) and determine related factors that would enable achievement of both high efficiency and high quality at the same time.

Major data sources were the "2012 Korean Assessment of Propriety by Long-term Care Hospitals" obtained from the Health Insurance Review & Assessment Service. Cost variables were supplemented by a National Tax Service accounting document. First, data envelopment analysis was performed by generating efficiency scores for each LTCH. Second, matrix analysis was conducted to ascertain association between efficiency and quality. Lastly, kruskal-wallis and mann-whitney tests were conducted to identify related factors.

First, efficiency and quality of care are not in a relationship of trade-offs; thus, LTCH can be confident that high efficiency-high quality can be achieved. Second, LTCH with a large number of beds, longer tenure of medical personnel, and adequate levels of investment were more likely to have improved quality as well as efficiency.

It is essential to enforce legal standards appropriate to the facilities, reduce turnover of nursing staff, and invest properly in human resources. These consequences will help LTCH to maintain the balance of high efficiency-high quality in the long-run.

In this research multi-level analysis was done to identify factors related to quality of services. Patient characteristics and organizational factors were considered.

The data were collected from the Health Insurance Review and Assessment Service (HIRA) data base. The sample was selected from 17,234 patients who had been admitted between January 2007 and May 2008 to one of 253 long-term care hospitals located in Seoul, six other metropolitan cities or nine provinces The data were analyzed with SAS 9.1 using multi-level analysis.

The results indicated that individual level variables related to quality of service were age, cognitive ability, patient classification, and initial quality scores. The organizational level variables related to quality of service were ownership, number of beds, and turnover rate. The explanatory power of variables related to organizational level variances in quality of service was 23.72%.

The results of this study indicate that differences in the quality of services were related to organizational factors. It is necessary to consider not only individual factors but also higher-level organizational factors such as nurse' welfare and facility standards if quality of service in long term care hospitals is to be improved.