Burnout, Depression, and Stress in Emergency Department Nurses and Physicians and the Impact on Private and Work Life: A Systematic Review
Notice bibliographique
Résumé
Objectives: In today's fast-paced world, work-related stress is a prevalent problem, particularly among health care professionals in high-pressure environments such as emergency departments (EDs). This stress can lead to mental health disorders, such as depression and burnout, affecting job performance, patient care, and the quality of professional and private life. This systematic review aimed to investigate the prevalence of burnout, depression, and stress among ED nurses and physicians and the impact of these conditions on personal and professional quality of life (QoL). Methods: The systematic literature search covered PubMed, PsycINFO, Embase, and grey literature databases. Articles were included if they were published in English or German by 31 January 2020, focused on ED physicians or nurses, and examined burnout, depression, or stress and its impact on professional or personal QoL. Quality assessment of the included studies was performed using a modified version of the Newcastle-Ottawa Scale. Results: The systematic search resulted in 893 articles, of which 11 met the inclusion criteria. All reviewed studies had a cross-sectional study design and were of low to moderate quality. Depression, burnout, and stress were prevalent among ED physicians, ranging from 15.5% to 19.3%, 18% to 71.4%, and 19.5% to 22.7%, respectively. These were associated with lower job satisfaction in ED physicians, while findings in ED nurses also showed a considerable rate of burnout with an inverse association with compassion satisfaction. Burnout and stress were significantly associated with intentions to quit emergency medicine in ED physicians, whereas no association was found for depression. In addition, burnout showed a negative relationship to work-life balance and QoL, while higher stress levels were associated with lower life satisfaction in ED physicians. Conclusion: Our review underlines the high prevalence of stress, depression, and burnout among ED health care professionals and their potential negative impact on private and professional life, emphasizing the need for targeted support and interventions to enhance resilience, reduce stress, and prevent the onset or deterioration of mental health diseases. This, in turn, can contribute to maintaining and strengthening the already limited human resources in EDs, ensuring the quality of patient care, and strengthening health care systems.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,006 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».