J Korean Clin Nurs Res.
2022 Aug;28(2):185-197. 10.22650/JKCNR.2022.28.2.185.
Verification of the Reliability and Validity of the Korean Pediatric Patient Classification System and Estimation of Nursing Time Conversion Index
- Affiliations
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- 1Nursing Director, Department of Nursing, Seoul National University Hospital, Seoul, Korea.
- 2Unit Manager, Department of Nursing, Seoul National University Hospital, Seoul, Korea.
- 3RN, Department of Nursing, Seoul National University Hospital, Seoul, Korea.
- 4Nursing Director, Department of Nursing, The Catholic University of Korea Seoul ST. Mary’s Hospital, Seoul, Korea.
- 5Advanced Practice Nurse, Department of Nursing, Asan Medical Center, Seoul, Korea.
- KMID: 2536726
- DOI: http://doi.org/10.22650/JKCNR.2022.28.2.185
Abstract
- Purpose
This study was performed to verify reliability and validity of the Korean Pediatric Patient Classification System (KPPCS) and estimate nursing time conversion index.
Methods
The study was conducted in 9 children’s hospital which included various areas and size of bed settings. To verify intraclass correlation reliability and construct validity, staff nurses and nurse managers of 21 wards classified 575 patients according to KPPCS comparing differences by age, days of stay, type of stay and medical department. Direct and indirect nursing time of 575 patients were measured by 284 nursing staffs by stopwatch observation and self reports for 24 hours.
Results
KPPCS has 12 categories, 55 nursing activities and 80 criterions. High agreement among nurses (r=.91, p<.001) suggested substantial reliability. Construct validity was verified by comparing differences in age, days of stay, type of stay and medical department (p<.05). The correlation of nursing time and classification score was also statistically significant (r=.59, p<.001). The nursing time conversion index was 10.78 minutes per 1 classification score. The entire patient group were classified to four groups using KPPCS.
Conclusion
The findings suggest that KPPCS would be a useful tool for estimating nursing demands related to the complexity of pediatric patients.
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