Translating nursing and health 2019

I want to introduce the study performed in Vietnam targeting clinical nurses. I will explain to the
detail about the measurements, the method of classification to assess the burnout state, causal
model of burnout, and so on. I hope that my speech is informative for you all. Purpose: We had
three objectives. The first one was to create the Vietnamese version of MBI-GS (Maslach Burnout
Inventory-General Survey) and AWS (Areas of Worklife Survey). The second one was to assess
the burnout state of Vietnamese clinical nurses. The last one was to develop a causal model of
burnout. Methods: We conducted a descriptive design using a cross-sectional survey. The
questionnaire was delivered to 500 clinical nurses in three hospitals. The Vietnamese MBI-GS
and AWS were examined for reliability and validity. Then, we classified scores on the three
subscales (exhaustion, cynicism, professional efficacy) of the MBI-GS according to the revised
exhaustion+1 criterion. Lastly, we performed path analysis to develop a causal model of burnout
among clinical nurses in Vietnam using the MBI-GS and AWS. The Leiter and Maslach’s theory
was applied to our frame work. Results: We found that both scales were reliable and valid for
assessing burnout and workplace stressor. Among nurses, 0.7% was severely burned out and
15.8% was burned out. The percentage on nurses in exhausted and in depression was 17.2% and
3.5% respectively. Among participants, 62.8% was in good health. The best predictor of burnout
regarding job occupational factors was “on-duty work schedule” that clinical nurses have to work
for 24 hours. In the causal model, we found similarity and difference pathways in comparison
with the original model. Discussion: I want to discuss with you based on the study I introduce at
the conference. I appreciate your involvement.