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'Intern life': a longitudinal study of burnout, empathy, and coping strategies used by French GPs in training
Eric Galam1, Camille Vauloup Soupault2, Lucie Bunge3
1GP, Département de Médecine Générale, Faculté de Médecine, Université Paris Diderot, Sorbonne Paris Cité, Paris, France.
Background:
More than half of French medical GP trainees (GPTs) suffer from burnout.
Aim:
To define and follow the evolution of risk factors, such as empathy and coping strategies, associated with burnout in this population.
Design & Setting:
Prospective longitudinal study involving volunteers of 577 Parisian university GPTs in 2012.
Method:
Self-reported anonymous online questionnaires were sent three times every 6 months to all participants. Stress was measured using the Intern-Life scale and burnout using the Maslach Inventory, and anxiety and depression measured using the Hospital Anxiety and Depression Scale (HADS). Sociodemographic, professional, and personal data, including coping strategies and measures of empathy were also collected.
Results:
In total 343 questionnaires were fully completed at baseline (T0): 304 were usable at baseline, 169 were usable at 6 months (T1) and 174 at 1 year (T2). Stress rates decreased sharply between T1 (scores 42.96) and T2 (17.08), while scores for burnout remained relatively stable: more than 13% of GPTs had high scores in all three dimensions of burnout. Depersonalisation increased from 61% (T1) to 66% (T2). One hundred and four paired samples were analysed between T0 and T1, and between T1 and T2. Emotion-centred coping was associated with emotional exhaustion (P<0.05), while professional support reduced it. Experiences of aggression increased depersonalisation (P<0.05). Social support, problem-centred coping, perspective-taking empathy, and professional support improved the sense of personal accomplishment (P<0.05).
Conclusion:
Tools to help GPTs are available but are underused. More training in doctor-patient relationships and understanding of medical hidden curricula are necessary to decrease burnout among GPTs and improve their wellbeing and patient care.