BACKGROUND: Burnout is known to occur in public service workers leading to a reduction in effectiveness at work. AIM: To estimate the prevalence of burnout in junior doctors and its impact on patient care. METHODS: A cross-sectional study of junior doctors at three hospitals in Mexico City was conducted. Measures used included the Maslach Burnout Inventory (MBI), measuring depersonalization (DP), emotional exhaustion (EE) and personal achievement (PA), a questionnaire about patient care practices and attitudes and one on sociodemographic characteristics. Logistic regression analysis was used to assess the association between burnout and suspected risk factors. RESULTS: A total of 312 junior doctors participated (response rate 65%). In total, 57% were male and the average age was 28. Average scores in MBI subscales were EE: 18.2, DP: 6.9 and PA: 37.6. Burnout prevalence was 40% (126). Junior doctors with burnout were more likely to report suboptimal patient care practices occurring monthly (OR 5.5; 95% CI 2.7-11.2) and weekly (OR 5.2; 95% CI 1.6-16.3). The logistic regression model for burnout included shifts lasting >12 h, current depression, former major depression, first- or second-year junior doctors, male gender and single status. CONCLUSIONS: Burnout was most strongly associated with shifts >12 h and with both current and previous depression. Reported suboptimal patient care was also associated with working shifts of >or=12 h. Burnout may be adversely affecting junior doctors' health and their patients' care.
BACKGROUND: Burnout is known to occur in public service workers leading to a reduction in effectiveness at work. AIM: To estimate the prevalence of burnout in junior doctors and its impact on patient care. METHODS: A cross-sectional study of junior doctors at three hospitals in Mexico City was conducted. Measures used included the Maslach Burnout Inventory (MBI), measuring depersonalization (DP), emotional exhaustion (EE) and personal achievement (PA), a questionnaire about patient care practices and attitudes and one on sociodemographic characteristics. Logistic regression analysis was used to assess the association between burnout and suspected risk factors. RESULTS: A total of 312 junior doctors participated (response rate 65%). In total, 57% were male and the average age was 28. Average scores in MBI subscales were EE: 18.2, DP: 6.9 and PA: 37.6. Burnout prevalence was 40% (126). Junior doctors with burnout were more likely to report suboptimal patient care practices occurring monthly (OR 5.5; 95% CI 2.7-11.2) and weekly (OR 5.2; 95% CI 1.6-16.3). The logistic regression model for burnout included shifts lasting >12 h, current depression, former major depression, first- or second-year junior doctors, male gender and single status. CONCLUSIONS: Burnout was most strongly associated with shifts >12 h and with both current and previous depression. Reported suboptimal patient care was also associated with working shifts of >or=12 h. Burnout may be adversely affecting junior doctors' health and their patients' care.
Authors: Tamatha M Psenka; John R Freedy; Lisa D Mims; Alec O DeCastro; Carole R Berini; Vanessa A Diaz; Jennie B Jarrett; Terrence E Steyer Journal: Fam Pract Date: 2020-11-28 Impact factor: 2.267
Authors: Daniel S Tawfik; Annette Scheid; Jochen Profit; Tait Shanafelt; Mickey Trockel; Kathryn C Adair; J Bryan Sexton; John P A Ioannidis Journal: Ann Intern Med Date: 2019-10-08 Impact factor: 25.391
Authors: Paula Lage Pasqualucci; Luciana Luccas Mendes Damaso; Arthur Hirschfeld Danila; Daniel Fatori; Francisco Lotufo Neto; Vera Hermina Kalika Koch Journal: BMC Med Educ Date: 2019-06-11 Impact factor: 2.463