Physician Posttraumatic Stress Disorder During COVID-19
Notice bibliographique
Résumé
Importance: The COVID-19 pandemic placed many physicians in situations of increased stress and challenging resource allocation decisions. Insight into the prevalence of posttraumatic stress disorder in physicians and its risk factors during the COVID-19 pandemic will guide interventions to prevent its development. Objective: To determine the prevalence of posttraumatic stress disorder (PTSD) among physicians during the COVID-19 pandemic and examine variations based on factors, such as sex, age, medical specialty, and career stage. Data Sources: A Preferred Reporting Items for Systematic Reviews and Meta-analyses-compliant systematic review was conducted, searching MEDLINE, Embase, and PsychInfo, from December 2019 to November 2022. Search terms included MeSH (medical subject heading) terms and keywords associated with physicians as the population and PTSD. Study Selection: Peer-reviewed published studies reporting on PTSD as a probable diagnosis via validated questionnaires or clinician diagnosis were included. The studies were reviewed by 6 reviewers. Data Extraction and Synthesis: A random-effects meta-analysis was used to pool estimates of PTSD prevalence and calculate odds ratios (ORs) for relevant physician characteristics. Main Outcomes and Measures: The primary outcome of interest was the prevalence of PTSD in physicians, identified by standardized questionnaires. Results: Fifty-seven studies with a total of 28 965 participants and 25 countries were included (of those that reported sex: 5917 of 11 239 [52.6%] were male and 5322 of 11 239 [47.4%] were female; of those that reported career stage: 4148 of 11 186 [37.1%] were medical trainees and 7038 of 11 186 [62.9%] were attending physicians). The estimated pooled prevalence of PTSD was 18.3% (95% CI, 15.2%-22.8%; I2 = 97%). Fourteen studies (22.8%) reported sex, and it was found that female physicians were more likely to develop PTSD (OR, 1.93; 95% CI, 1.56-2.39). Of the 10 studies (17.5%) reporting age, younger physicians reported less PTSD. Among the 13 studies (22.8%) reporting specialty, PTSD was most common among emergency department doctors. Among the 16 studies (28.1%) reporting career stage, trainees were more prone to developing PTSD than attendings (OR, 1.33; 95% CI, 1.12-1.57). Conclusions and Relevance: In this meta-analysis examining PTSD during COVID-19, 18.3% of physicians reported symptoms consistent with PTSD, with a higher risk in female physicians, older physiciansy, and trainees, and with variation by specialty. Targeted interventions to support physician well-being during traumatic events like pandemics are required.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,010 | 0,051 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,004 |
| Bibliométrie | 0,004 | 0,007 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 source (Gemma direct ou Codex distillé), 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 ».