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Verification of the Reliability and Validity of the Korean Pediatric Patient Classification System and Estimation of Nursing Time Conversion Index (한국형 소아 환자 분류도구의 신뢰도와 타당도 검증 및 간호시간 환산지수 산출 연구)

  • Sim, Mi Young;Park, Ji Sun;Kwon, Mi Kyung;Song, Suk Hee;Kim, Ye Seul;Kang, Min Seo;Lee, Shin Ae;Choi, Eun Seok;Ha, Eun Ju
    • Journal of Korean Clinical Nursing Research
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    • v.28 no.2
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    • pp.185-197
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    • 2022
  • 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.

Robust FIR filter for Linear Discrete-time System

  • Quan, Zhong-Hua;Han, Soo-Hee;Kwon, Wook-Hyun
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.2548-2551
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    • 2005
  • In this paper, a robust receding horizon finite impulse response(FIR) filter is proposed for a class of linear discrete time systems with uncertainty satisfying an integral quadratic constraint. The robust state estimation problem involves constructing the set of all possible states at the current time consistent with given system input, output measurements and the integral quadratic constraint.

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