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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 (Department of Nursing, Seoul National University Hospital) ;
  • Park, Ji Sun (Department of Nursing, Seoul National University Hospital) ;
  • Kwon, Mi Kyung (Department of Nursing, Seoul National University Hospital) ;
  • Song, Suk Hee (Department of Nursing, Seoul National University Hospital) ;
  • Kim, Ye Seul (Department of Nursing, Seoul National University Hospital) ;
  • Kang, Min Seo (Department of Nursing, Seoul National University Hospital) ;
  • Lee, Shin Ae (Department of Nursing, The Catholic University of Korea Seoul ST. Mary's Hospital) ;
  • Choi, Eun Seok (Department of Nursing, Asan Medical Center) ;
  • Ha, Eun Ju (Department of Nursing, Asan Medical Center)
  • Received : 2022.05.03
  • Accepted : 2022.06.24
  • Published : 2022.08.31

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.

Keywords

Acknowledgement

본 연구는 2021년 병원간호사회에서 연구비를 지원받아 진행한 연구임.

References

  1. Boland L, Graham ID, Legare F, Lewis K, Jull J, Shephard A, et al. Barriers and facilitators of pediatric shared decision-making: A systematic review. Implementation Science. 2019;14(1):7. https://doi.org/10.1186/s13012-018-0851-5
  2. Jeong E, Kwon IS. Nursing needs and nursing performance as perceived by caregivers with hospitalized children. Child Health Nursing Research. 2015;21(3):244-252. https://doi.org/10.4094/chnr.2015.21.3.244
  3. Kim AS, Park SJ. Nursing environment, job stress, and turnover intention of pediatric ward nurses and general ward nurses. Journal of the Korea Contents Association. 2017;17(7):124-132. https://doi.org/10.5392/JKCA.2017.17.07.124
  4. Cho EJ, Bang KS. Nursing professionalism, self-efficacy and nurse parent partnership in pediatric nurses. Child Health Nursing Research. 2013;19(2):94-101. https://doi.org/10.4094/chnr.2013.19.2.94
  5. Long N. Acuity-based staffing: Improving patient outcomes and staff satisfaction [Internet]. MSN Capstone Projects, Paper 8; 2020 Apr 24 [cited 2022 June 1]. Available from: http://hdl.handle.net/10950/2605.
  6. Griffiths P, Maruotti A, Recio Saucedo A, Redfern OC, Ball JE, Briggs J, et al. Nurse staffing, nursing assistants and hospital mortality: Retrospective longitudinal cohort study. BMJ Quality & Safety. 2019;28(8):609-617. https://doi.org/10.1136/bmjqs-2018-008043
  7. Nguyen A. Acuity-based staffing: Reducing costs, increasing quality. Nursing Management. 2015;46(1):35-39. https://doi.org/10.1097/01.NUMA.0000459555.94452.e2
  8. Connor JA, LaGrasta C, Hickey PA. Complexity assessment and monitoring to ensure optimal outcomes tool for measuring pediatric critical care nursing. American Journal of Critical Care. 2015;24(4):297-308. https://doi.org/10.4037/ajcc2015230
  9. Connor JA, LaGrasta C, Gauvreau K, Porter C, Hickey PA. Validation of the Complexity Assessment and Monitoring to Ensure Optimal Outcomes (CAMEO II) acuity tool for pediatric critical care nursing. Dimensions of Critical Care Nursing. 2019;38(3):153-159. https://doi.org/10.1097/DCC.0000000000000355
  10. Connor JA, LaGrasta C, Porter C, Hurtig M, McHugh S, King E, et al. The measurement of pediatric inpatient nursing using the Complexity Assessment and Monitoring to Ensure Optimal Outcomes (CAMEOⓒ) tool. Journal of Pediatric Nursing. 2020;51:42-48. https://doi.org/10.1016/j.pedn.2019.12.005
  11. Hurtig M, Liseno S, McLellan MC, Homoki A, Giangregorio M, Connor J. Development and implementation of an inpatient CAMEOⓒ staffing algorithm to inform nurse-patient assignments in a pediatric cardiac inpatient unit. Journal of Pediatric Nursing. 2021:60:275-280. https://doi.org/10.1016/j.pedn.2021.07.025
  12. Song KJ, Kim EH, Yoo CS, Park HA, Song MS, Park KO. Verification of reliability and validity of KPCS-1 and estimation of nursing time conversion index. Journal of Korean Clinical Nursing Research. 2010;16(2):127-140. https://doi.org/10.22650/JKCNR.2010.16.2.127
  13. Dini AP, Guirardello EB. Pediatric patient classification system: Improvement of an instrument. Revista da Escola de Enfermagem da USP. 2014;48(5):787-793. https://doi.org/10.1590/s0080-6234201400005000003
  14. Kwon MK, Park JS, Park HM, Kang HJ, Woo JE, Lee HY, et al. Development of Pediatric Patient Classification System. Journal of Korean Clinical Nursing Research. 2020;26(2):175-185. https://doi.org/10.22650/JKCNR.2020.26.2.175
  15. Tak JK. Psychological testing: An understanding of development and evaluation method. 2nd ed. Seoul: Hakjisa; 2007. p. 163-194.
  16. Yoo CS, Sim MY, Choi EH. Development of Korean Patient Classification System for Critical Care Nurses. Journal of Korean Clinical Nursing Research. 2015;21(3):401-411. https://doi.org/10.22650/JKCNR.2015.21.3.401
  17. Song KJ, Kim EH, Yoo CS, Park HO, Park KO. Development of KPCS (Korean Patient Classification System for Nurses) based on nursing needs. Journal of Korean Clinical Nursing Research. 2009;15(1):5-17. https://doi.org/10.22650/JKCNR.2009.15.1.5
  18. Yu M, Kim DY, Yoo CS. Development of Korean Patient Classification System for Neonatal Care Nurses. Journal of Korean Clinical Nursing Research. 2016;22(2):205-216. https://doi.org/10.22650/JKCNR.2016.22.2.205
  19. Song KJ, Choi WH, Choi EH, Cho SH, Yu M, Park MM, et al. Study for revision of the Korean Patient Classification System. Journal of Korean Clinical Nursing Research. 2018;24(1):113-126. https://doi.org/10.22650/JKCNR.2018.24.1.113
  20. Ko BJ, Yu M, Kang JS, Kim DY, Bog JH. Validity and reliability tests of Neonatal Patient Classification System based on nursing needs. Journal of Korean Clinical Nursing Research. 2012;18(3):354-367. https://doi.org/10.22650/JKCNR.2012.18.3.354
  21. Kim MS, Kim YH, Kim YS, Song IG, Ahn AR, Yang YJ, et al. Analysis of domestic and overseas status of children's medical services and research on development plans for children's hospitals. Wonju: Health Insurance Review & Assessment Service (KR); 2021 Aug. Report No.: G000CU7-2021-76.
  22. Park SK, Kim JE, Lee HJ, Choa YG, Kwag MS, Kim YS, et al. National Health and Medical Condition Survey. Cheongju: Korea Health Industry Development Institute (KR); 2017 Nov. Report No.: 11-1352000-000524-13.
  23. Park JH, Kim EH. Reliability and validity tests of Patient Classification System based on nursing intensity. Journal of Korean Academy of Nursing Administration. 2007;13(1):5-16. https://doi.org/10.4040/jkan.2007.37.1.5