Abstract:
This study was conducted to predict level of burnout from demographic predictors among medical officers working in tertiary healthcare. Data was collected through Burnout Scale that is a subscale in the professional quality of Life scale (ProQOL). Standard Multiple Regression Analysis was run to predict Burnout from demographic variable. Statistical Analysis indicated 96 percent of variance in Burnout by claiming socioeconomic status (SES), marital status, gender and age as significant and unique contributors with 0.01 alpha level. On the other hand, nature of organization is not a significant predictor for Burnout as observed alpha level was greater than 0.05. So, Burnout is significantly predicted by age, gender, marital status, socioeconomic status and education level among doctors.
Page(s):
331-333
DOI:
DOI not available
Published:
Journal: Isra Medical Journal, Volume: 11, Issue: 4, Year: 2019
Keywords:
Socioeconomic status
,
Tertiary care hospital
,
burnout
,
Demographic Characteristics