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Enregistrement W2604462359 · doi:10.1111/bjd.15549

Burnout in dermatology residents: a Canadian perspective

2017· letter· en· W2604462359 sur OpenAlexafffundabout
Ilya Shoimer, Scott B. Patten, P. Régine Mydlarski

Notice bibliographique

RevueBritish Journal of Dermatology · 2017
Typeletter
Langueen
DomaineHealth Professions
ThématiqueHealthcare professionals’ stress and burnout
Établissements canadiensUniversity of TorontoUniversity of Calgary
Organismes subventionnairesCanadian Dermatology Foundation
Mots-clésBurnoutPerspective (graphical)DermatologyMedicineMEDLINEFamily medicineClinical psychologyPolitical scienceArt

Résumé

récupéré en direct d'OpenAlex

Dear Editor, Burnout is a syndrome comprised of emotional exhaustion (EE), depersonalization (DP) and reduced personal accomplishment (PA). It is associated with poor outcomes involving job performance and health.1 Previous studies have reported burnout rates ranging from 18% to 84% during postgraduate medical education (i.e. residency); however, none has focused on dermatology residents (i.e. registrars and trainees).2 Herein, we report the prevalence, predictors and consequences of burnout in Canadian dermatology residents. Ethics approval was obtained from the Conjoint Health Research Ethics Board. A cross‐sectional study was conducted using an anonymous online survey distributed to all Canadian dermatology residents (n = 162). The data collection period was from May to August 2014. Informed consent was obtained online. Weekly activities, stress, protective factors and consequences of burnout were evaluated using a Likert scale. Validated tools were employed to measure burnout [Maslach Burnout Inventory (MBI)]; depression (World Health Organization Well‐Being Index); anxiety (Generalized Anxiety Disorder scale); alcohol abuse (Alcohol Use Disorders Identification Test – Consumption); fatigue and quality of life.3,4,5,6 Standard statistical analyses were utilized to characterize the association between burnout and various levels of training. Using a t‐test or anova, burnout ratings were compared between multiple groups. To limit the number of tests, the anova was performed only for the EE scale of the MBI as it possessed the best reliability coefficient (0·90).3P‐values were calculated using two tails. Significance levels were adjusted with the Benjamini–Hochberg procedure. There were 116 respondents to the survey (72%). Individuals who did not complete the entire MBI (n = 20) were excluded. Therefore a total of 96 residents were analysed yielding a 59% response rate. Responses were received from each of the dermatology programmes across the country and from all stages of training. The top stressor for residents was examinations (including the board certifying examination) (61%), followed by work (27%). Other major stressors included family and relationships, finances, pressure from staff, research obligations and moving. Assessment of weekly activities revealed that all residents dedicated a significant amount of time to studying and working (92–100%). A smaller proportion allocated time for family and friends (70%) or exercise (56%). Moreover, 72% slept < 7 h per night. The MBI survey demonstrated that > 50% of dermatology residents experienced high levels of EE and DP, while 40% had low levels of PA (Table 1). The mean burnout scores were 27·3 (EE), 10·8 (DP) and 35·6 (PA). Approximately 75% of residents agreed or strongly agreed that they had good social supports. However, 58% reported having a good relationship with a staff mentor and only 42% reported receiving constructive monthly feedback. Validated assessments of burnout, anxiety, depression, alcohol abuse, quality of life and fatigue CI, confidence interval. Validated tools were employed to measure burnout [Maslach Burnout Inventory (MBI)], depression [World Health Organization Well‐Being Index (WHO‐5)], anxiety [General Anxiety Disorder scale (GAD‐2)] and alcohol abuse [Alcohol Use Disorders Identification Test (AUDIT)].3,4,5,6aAUDIT possesses high sensitivity, but poor specificity, thus the reported rates are likely overestimated. bAs indicated by respondents on an analogue scale from 0 (‘as bad as it can be’) to 10 (‘as good as it can be’). Validated assessments of burnout, anxiety, depression, alcohol abuse, quality of life and fatigue CI, confidence interval. Validated tools were employed to measure burnout [Maslach Burnout Inventory (MBI)], depression [World Health Organization Well‐Being Index (WHO‐5)], anxiety [General Anxiety Disorder scale (GAD‐2)] and alcohol abuse [Alcohol Use Disorders Identification Test (AUDIT)].3,4,5,6aAUDIT possesses high sensitivity, but poor specificity, thus the reported rates are likely overestimated. bAs indicated by respondents on an analogue scale from 0 (‘as bad as it can be’) to 10 (‘as good as it can be’). The assessments of quality of life, fatigue, anxiety, depression and alcohol abuse are presented in Table 1. The average assessment of residents’ quality of life and energy levels was moderate. Of note, 52% of residents were found to have low or depressed mood and 20% reported having feelings of hurting themselves within the past year. More than 25% of residents had high anxiety levels. Additionally, 45% of residents engaged in heavy or hazardous drinking and 6% had smoked a cigarette in the past month. Correlates of burnout identified in dermatology residents were staff mentoring, constructive feedback, good social support, family and friends, anxiety, depression, energy levels, quality of life (all P < 0·001) and exercising (P = 0·010). Our data reveal that dermatology residents commonly experience burnout, with high rates of EE seen in 54% of residents. As demonstrated in a single‐centre Canadian study, these findings are comparable with resident burnout rates across other specialties.7 When compared with the mean standard scores obtained from the MBI medicine subgroup, dermatology residents demonstrate a trend to higher EE and DP scores, and lower PA scores.3 Our findings also associate burnout with depression, anxiety, fatigue and low quality of life. Negative correlates include increased perception of social supports, spending quality time with family, a supportive clinical faculty, and receiving constructive monthly performance feedback. No specific demographic variables were predictive of burnout. The lack of association with training level may be due to the presence of two peaks of burnout: when entering residency and when studying for the final examination. Additionally, suicidal ideation was assessed with a single nonvalidated question and may have yielded inaccurate findings. Examinations are the top stressor for 61% of dermatology residents. While our research focused on Canadian dermatology residents, most dermatology training programmes hold similar certifying examinations. It is therefore not surprising that many subspecialty examination boards are moving towards a competency‐based model, shifting the focus from examination marks to attainment of milestones. A longitudinal study demonstrated that once interns experience burnout, the majority remained ‘burnt out’ for the duration of their residency.8 Moreover, residents with burnout reported suboptimal patient care practices, with more perceived medical errors and the need to distance themselves from their patients. Dermatology training programmes are academically rigorous: the recognition and prevention of burnout in dermatology trainees should not be overlooked. Programme directors need to address the modifiable determinants of burnout and develop targeted interventions to support residents throughout their training. The authors would like to thank Keltie McDonald (University of Calgary, Department of Community Health Sciences) for her help with the statistical analysis. Funding sources: Canadian Dermatology Foundation. Conflicts of interest: none declared.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,014
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,066
Score d'incertitude au seuil0,480

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,014
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,004
Études des sciences et des technologies0,0200,006
Communication savante0,0060,003
Science ouverte0,0020,003
Intégrité de la recherche0,0160,018
Charge utile insuffisante (le modèle a refusé de juger)0,0100,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,041
Tête enseignante GPT0,400
Écart entre enseignants0,359 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations27
Publié2017
Routes d'admission3
Résumé présentnon

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