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Factors Relating to the Quality of Care for Nursing Home Residents in Korea: Using the Delphi Method
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Juh Hyun Shin, Eun Mee Kim, Ji Yeon Lee
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J Korean Acad Nurs 2019;49(6):783-794. Published online December 30, 2019
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DOI: https://doi.org/10.4040/jkan.2019.49.6.783
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Abstract
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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.
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Citations
Citations to this article as recorded by 
- The effects of special nursing units in nursing homes on healthcare utilization and cost: A case-control study using propensity score matching
Eunhee Cho, Eun-Young Kim, Kyung Hee Lee, Hye-Ryoung Kim, Seonhwa Choi, Yea Seul Yoon, EunKyo Kim, Seok-Jae Heo, Se Young Jung, Jiyoon Jang International Journal of Nursing Studies.2023; 147: 104587. CrossRef - Effects of registered nurse staffing levels, work environment, and education levels on adverse events in nursing homes
Seonhwa Choi, Eunhee Cho, Eunkyo Kim, Kyongeun Lee, Soo Jung Chang Scientific Reports.2021;[Epub] CrossRef - Cost of Care and Pattern of Medical Care Use in the Last Year of Life among Long-Term Care Insurance Beneficiaries in South Korea: Using National Claims Data
Sunjoo Boo, Jungah Lee, Hyunjin Oh International Journal of Environmental Research and Public Health.2020; 17(23): 9078. CrossRef - Impact of Nurse Staffing, Skill Mix and Stability on Resident Health Outcomes in Korean Nursing Homes
Juh Hyun Shin, Gui Yun Choi, Jiyeon Lee Journal of Korean Gerontological Nursing.2020; 22(4): 291. CrossRef - The Effects of Long-term Care Hospitals' Nurse Staffing Level on Patient Outcomes: Differences according to Region
Kyung Jin Hong Journal of Korean Academy of Nursing Administration.2020; 26(4): 354. CrossRef
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Factors Influencing Functional Status in People with Chronic Lung Disease
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Eui Geum Oh, Cho Ja Kim, Won Hee Lee, So Sun Kim, Bo Eun Kwon, Yeon Soo Chang, Ji Yeon Lee, Young Jin Kim
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Journal of Korean Academy of Nursing 2002;32(5):643-653. Published online March 29, 2017
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DOI: https://doi.org/10.4040/jkan.2002.32.5.643
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Abstract
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PURPOSE: The purpose of this study was to identify factors that influence the functional status of chronic lung disease patients.
METHOD: A descriptive, correlational study design was used. The study was conducted at the outpatient respiratory clinic of the large university hospital in Korea. A convenience sample of 128 chronic lung patients (age = 64.2 yrs; 106 COPD, 17 bronchiectasis, 5 DILD) with mean FEV1 64.4 % predicted. Functional status was measured with SIP. Physical variables (FEV1% predicted, dyspnea, fatigue, pulmonary symptom distress), psychological variables (mood, stress), and situational variable (sleep quality) were examined. Dyspnea was measured by the BDI, fatigue was measured with the MFI. Mood was measured with the modified Korean version of POMS. Sleep quality was measured with the Pittsburgh Sleep Quality Index. Potential independent variables for the regression were age, gender, years since diagnosis, FEV1% predicted, dyspnea, fatigue, pulmonary symptom distress, stress, and sleep quality.
RESULT: In general, functional status was relatively good. In regression analysis, functional status were significantly influenced by dyspnea, mood, age and fatigue. These variables explained 70 % of the variances in functional status.
CONCLUSION: The results suggest that psychophysiologic symptom management should be a focus to enhance the functional status in this group.
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Development and Evaluation of the Computerized Nursing Diagnosis/Intervention
System for Nutritional and Eliminative Problem
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Ji Yeon Lee
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Journal of Korean Academy of Nursing 2000;30(4):1078-1087. Published online March 29, 2017
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DOI: https://doi.org/10.4040/jkan.2000.30.4.1078
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Abstract
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The purpose of this study was to develop and to evaluate the Computerized Nursing Diagnosis/ Intervention System for Nutritional and Eliminative Problems for clinical application.
Each stage was processed based on the System Development Life Cycle.
At the Strategy Planning Stage, valid nursing diagnoses and interventions were chosen. At the System Analysis Stage, a nursing diagnosis and intervention flowchart was drawn up. At the System Design Stage, a system was developed based on the flowchart and named the Nursing Diagnosis/Intervention System. The Nursing Diagnosis/Intervention System consisted of the Patient's Basic Information, Patient's Nursing Process, Nursing Process, and Code Registration. Each element in flowchart was coded and made into a database.
The System was used and evaluated. A total of 30 cases were collected. After the application, the nurses evaluated the System using a 5 point Likert scale. Every item was scored at three
points or more and 13 out of 17 items were scored at four points or more, thus the Nursing Diagnosis/Intervention System that was developed in this study was regarded as a useful one.
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Citations
Citations to this article as recorded by 
- Analysis of Nursing Diagnoses Applied to Emergency Room Patients - Using the NANDA Nursing Diagnosis Classification -*
Young A Kim, Soon Hee Choi Journal of Korean Academy of Fundamentals of Nursing.2015; 22(1): 16. CrossRef
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