Burnout and its correlates in emergency physicians: four years' experience with a wellness booth.
OBJECTIVE
To measure the degree of burnout among emergency physicians (EPs) and to identify and rank predictive factors.


METHODS
Using the Maslach Burnout Inventory as well as a 79-item questionnaire, a cross-sectional survey was conducted for physician registrants at the Annual Scientific Assemblies of the American College of Emergency Physicians from 1992 to 1995. Degrees of burnout were stratified into low, moderate, and high ranges. Univariate and stepwise multiple regression analyses were conducted to identify and rank correlates to burnout scores.


RESULTS
Of 1,272 registrants taking the inventory, 60% registered in the moderate to high burnout ranges. Twenty-one correlates were identified. These were classified broadly in terms of negative perceptions of self, negative practice habits and attitudes, and unhealthy lifestyles. The most highly ranked correlates were: self-recognition of burnout, lack of job involvement, negative self-assessment of productivity, dissatisfaction with career, sleep disturbances, increased number of shifts per month, dissatisfaction with specialty services, intent to leave the practice within 10 years, higher levels of alcohol consumption, and lower levels of exercise. Age and years of practice were not significant predictors of burnout. Projected attrition rates were 7.5% over 5 years and 25% over 10 years.


CONCLUSIONS
Elevated levels of burnout exist among a substantial percentage of surveyed EPs. However, there is evidence for a "survivor" category of practitioners for whom burnout either does not develop or is a reversible process. The projected attrition rate over 5 and 10 years appears to be no greater than that of the average medical specialty.
Goldberg
R
R
Department of Emergency Medicine, University of Southern California Medical Center, Los Angeles, USA.
Boss
R W
RW
Chan
L
L
Goldberg
J
J
Mallon
W K
WK
Moradzadeh
D
D
Goodman
E A
EA
McConkie
M L
ML
D000223:Adaptation, Psychological; D000328:Adult; D002055:Burnout, Professional / Q000453:epidemiology / Q000523:psychology*; D003430:Cross-Sectional Studies; D004635:Emergency Medicine; D005260:Female; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D007588:Job Satisfaction; D008019:Life Style; D008297:Male; D008505:Medical Staff, Hospital / Q000523:psychology*; D008875:Middle Aged; D011237:Predictive Value of Tests; D012044:Regression Analysis; D012307:Risk Factors; D012720:Severity of Illness Index; D011795:Surveys and Questionnaires; D014481:United States / Q000453:epidemiology; D000078329:Workforce