Reliability and Validity of Nursing Work Environment Index Chinese Version

Monday, July 11, 2011

Li-Chiu Lin, MSN, RN
Department of Nursing, Chi Mei Medical Center, Yung Kung, Taiwan
Miaofen Yen, PhD, RN
Department of Nursing & Institute of Allied Health Sciences, National Cheng Kung University, Tainan city, Taiwan
Huan-Fang Lee, RN
Institute of Allied Health Sciences/ Department of Nursing, National Cheng Kung University/Chi Mei Medical Center, Yung Kung, Taiwan

Learning Objective 1: The learner will be able to (1) understand test the nursing work environment scale Chinese (NWEI-C)

Learning Objective 2: The learner will be able to understand the perception on NWEI-C among different working units.

Purpose:

Nursing work environment affects nurse and patient outcomes. Nursing work environment indicators consist of nurse-physician relationships, control over the practice setting, autonomy, and organizational support. However, different factorial structures of the Nursing Work Environment Index Chinese Version (NWEI-CV) have been presented in various cultures. The purpose of this study was to investigate the reliability and validity of NWEI-CV among nurses in Taiwan.

 

Methods:

This was a cross-sectional study. The data was obtained from an ongoing study, NURSE-outcomes study. Total of 1,782 questionnaires were completed and response rate was 97% (1782/1846). Item analysis was used to examine an appropriate measurement items in the present study. All subjects were randomly assigned to two sub-groups for exploratory and confirmatory factor analysis. The first half of the sample was adopted to explore the factorial structure using exploratory factor analysis and the other half was used to confirm the modified structure among Taiwan nurses. Finally, patient satisfaction was considered as a current validity index using McCloskey/Mueller satisfaction scale (MMSS) to test the correlation.

 

Results:

All items were suitable in the item analysis. A four-factor with 19 items of NWEI-CV model was set up at the first half sample and the explained accounting for 58.50% of the variance. In the second half sample, confirmatory factor analysis was showed an acceptable result in the overall fit (GFI = .90, AGFI = .88, RMSEA = .07). The correlation was .640 (p < .001) between NWEI-CV and MMSS. The Cronbach's Alpha were .90 for the t NWEI-CV and .71 - .83 for the subscales.

 

Conclusions:

A four-factor with 19 items of NWEI-CV was a suitable instrument for measuring burnout among nurses in Taiwan.