Application of decision tree method in evaluation of nursing workload in surgical departments
10.3760/cma.j.issn.1672-7088.2019.27.014
- VernacularTitle: 决策树分类法在外科病区护理工作量评价中的应用
- Author:
Juntao CHI
1
;
Zhenlan SONG
1
;
Yongjian ZHU
1
;
Jiemei XIE
1
;
Xiaoning WANG
2
;
Lu ZHOU
3
Author Information
1. Department of Nursing, Yantai Yuhuangding Hospital, Yantai 264000, China
2. Department of Cardiovascular Medicine, Yantai Yuhuangding Hospital, Yantai 264000, China
3. Shool of Nursing, Weifang Medical University, Weifang 261041, China
- Publication Type:Journal Article
- Keywords:
Decision tree;
Nursing workload;
Evaluation;
Classification
- From:
Chinese Journal of Practical Nursing
2019;35(27):2148-2151
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the nursing workload in surgical departments by decision tree method.
Methods:The indexes of nursing workload of 23 surgical departments were analyzed with decision tree method from February 20 to March 26 in 2017.
Results:According to decision tree analysis, the number of admitted patients was high-priority variable (F=39.128, P=0.000), and the nursing workload was divided into four grades by number of admitted patients ≤ 1, 17, respectively. The suboptimal variables were number of operations (F=7.578, P=0.046) and number of electrocardiogram monitors used (F=28.306, P=0.000), the nursing workload was further divided into six grades by number of operations ≤ 5, number of operations>5 and number of electrocardiogram monitors use ≤ 5, number of electrocardiogram monitors use > 5, respectively.
Conclusions:The number of admitted patients, electrocardiogram monitors used and operative patients were significant indexes of nursing workload in surgical departments, which helps the nurse managers evaluate the nurse performance and optimize human resource allocation based on decision tree analysis and clinical practice.
