Association of Intern and Resident Burnout with Self-Reported Medical Errors / 가정의학회지
Korean Journal of Family Medicine
;
: 36-42, 2013.
Article
in English
| WPRIM
| ID: wpr-157643
ABSTRACT
BACKGROUND:
Burnout is a common problem for interns and residents. It may be related to medical error, but little is known about this relationship. The purpose of this study was to determine the association between burnout and perceived medical errors among interns and residents.METHODS:
The study group consisted of interns and residents working in a university hospital in Busan. Data were provided by 86 (58.5%) of 147 interns and residents. They completed a questionnaire including self-assessment of medical errors, a linear analog self-assessment of overall quality of life (QOL), fatigue, the Epworth Sleepiness Scale (ESS) score, the Maslach Burnout Inventory, and a validated depression screening tool.RESULTS:
According to univariate logistic regression analyses, there was an association between perceived medical errors and fatigue (odds ratio [OR], 1.37 per unit increase; 95% confidence interval [CI], 1.12 to 1.69; P < 0.003) and ESS scores (OR, 1.13 per unit increase; 95% CI, 1.03 to 1.23; P < 0.009). Perceived medical errors were also associated with burnout (ORs per 1-unit change; emotional exhaustion OR, 1.07; 95% CI, 1.02 to 1.13; P < 0.005; depersonalization OR, 1.11; 95% CI, 1.02 to 1.21; P < 0.013), a negative depression screen (OR, 0.29; 95% CI, 0.11 to 0.76; P < 0.013), and overall QOL (OR, 0.80; 95% CI, 0.70 to 0.98; P < 0.033). In multivariate logistic regression analyses, an association was identified between perceived medical errors and emotional exhaustion (OR, 1.06; 95% CI, 1.00 to 1.11; P < 0.046) when adjusted for ESS, and depersonalization (OR, 1.01; 95% CI, 1.01 to 1.19; P < 0.04) when adjusted for fatigue.CONCLUSION:
Higher levels of burnout among interns and residents were associated with perceived medical errors.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Quality of Life
/
Self-Assessment
/
Logistic Models
/
Mass Screening
/
Medical Errors
/
Depersonalization
/
Depression
/
Fatigue
Type of study:
Prognostic study
/
Risk factors
/
Screening study
Language:
English
Journal:
Korean Journal of Family Medicine
Year:
2013
Type:
Article
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