Reliability and validity test of Decisional Fatigue Scale in medical staffs
10.3760/cma.j.cn115682-20220701-03170
- VernacularTitle:决策疲劳量表在医护人员中的信效度检验
- Author:
Jinfang YANG
1
;
Huili XU
;
Nina LUO
;
Yume ZHOU
;
Shuping GAO
;
Limin XING
Author Information
1. 湖北医药学院附属襄阳市第一人民医院普外四区，襄阳 441000
- Keywords:
Medical staffs;
Decision fatigue;
Scale;
Reliability;
Validity
- From:
Chinese Journal of Modern Nursing
2023;29(8):1085-1088
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To translate and culturally adjust Decisional Fatigue Scale (DFS) , and test its reliability and validity.Methods:The Chinese version of DFS was formed through the method of double translation, back translation and expert consultation. Using the convenient sampling method, 247 medical staffs from 16 departments in 76 wards of Xiangyang No.1 People's Hospital Affiliated to Hubei University of Medicine were selected as the research objects. Content validity, criterion validity and structure validity were used for validity evaluation, and internal consistency reliability, split half reliability and retest reliability were used for reliability evaluation. A total of 247 questionnaires were sent out in this study and 247 were effectively received, with effective recovery of 100.00%.Results:The total Cronbach's α coefficient of Chinese DFS was 0.933, the half-reliability coefficient was 0.849 and the retest reliability coefficient was 0.838 ( P<0.01) . Both the item content validity index and scale content validity index were 1.00, and the correlation coefficient with the total score of SRF-S was 0.729 ( P<0.01) . One common factor was extracted by exploratory factor analysis and 65.64% of the variation was explained cumulatively, which was consistent with the dimensions of the original scale. Confirmatory factor analysis showed that all fitting indexes were up to standard and the fitting degree was good. Conclusions:The reliability and validity of the Chinese version of DFS in medical staffs is good, which can be used to evaluate the degree of decision-making fatigue of Chinese medical staffs.
