Construction of a graded response system based on pediatric early warning score
10.3760/cma.j.issn.1672-7088.2019.22.007
- VernacularTitle: 构建基于儿童早期预警评分分级反应策略系统的研究
- Author:
Jinxiu YU
1
;
Xia ZHOU
1
;
Hongling HU
1
;
Yinglan LI
2
;
Lingli PENG
3
Author Information
1. Department of Pediatrics, Xiangya Hospital, Central South University, Changsha 410008, China
2. Department of Nursing, Xiangya Hospital, Central South University, Changsha 410008, China
3. Department of Orthopedics, Xiangya Hospital, Central South University, Changsha 410008, China
- Publication Type:Clinical Trail
- Keywords:
Pediatric Early Warning Score;
Graded response;
Delphi method;
Quality of nursing
- From:
Chinese Journal of Practical Nursing
2019;35(22):1712-1716
- CountryChina
- Language:Chinese
-
Abstract:
Objective:A graded response system based on pediatric early warning score (PEWS) was constructed to provide a scientific basis for clinical intervention and management by clinical nurses.
Methods:Domestic and foreign literature and the results of previous research were reviewed to build a preliminary framework of graded response strategies. Two rounds of expert consultation were conducted by Delphi method and the results were statistically analyzed. Meanwhile, the results were integrated into the electronic medical record system to form the PEWS grading response system.
Results:The positive coefficient of experts in the first and second rounds of consultation both were 15/15, and the average of the expert authority coefficient was 0.87 and 0.89 respectively. The expert coordination degree Kendall′s W value was 0.292 and 0.301 respectively (P<0.05), indicating that the experts′ opinions tended to be consistent. Finally, four segmented response systems were formed, with PEWS scored on the scale of 0-1, 2, 3 and 4 or single 3 points.
Conclusions:The graded response system based on pediatric early warning score constructed by using Delphi expert consultation method can be used in clinic, which can promote the nurses′ participation in clinical intervention decision-making and improve the quality of nursing.
