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Enregistrement W3048838438 · doi:10.1001/jamasurg.2020.2828

Intersectionality of Gender and Visible Minority Status Among General Surgery Residents in Canada

2020· article· en· W3048838438 sur OpenAlex

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Notice bibliographique

RevueJAMA Surgery · 2020
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueDiversity and Career in Medicine
Établissements canadiensUniversity of British ColumbiaWestern UniversityUniversity of TorontoUniversité de SherbrookeLondon Health Sciences CentreAlberta Hospital EdmontonUniversity of Alberta Hospital
Organismes subventionnairesnon disponible
Mots-clésMentorshipMedicineLikert scaleEthnic groupDiversity (politics)Family medicineScale (ratio)GerontologyMedical educationPsychology

Résumé

récupéré en direct d'OpenAlex

Importance: Within medical specialties, surgical disciplines disproportionately and routinely demonstrate the greatest underrepresentation of women and individuals from racial/ethnic minority groups. Understanding the role that diversity plays in surgical resident training may identify strategies that foster resident resiliency, optimize surgical training, and improve patient outcomes. Objective: To examine the implication of gender and visible minority (VM [ie, nonaboriginal people who are not White individuals]) status for resiliency and training experiences of general surgery residents in Canada. Design, Setting, and Participants: In this survey study, a 129-item questionnaire was emailed from May 2018 to July 2018 to all residents enrolled in all Canadian general surgery training programs during the 2017-2018 training year. Survey responses were extracted and categorized into 5 major themes. The survey was designed by the Resident Committee and reviewed by the Governing Board of the Canadian Association of General Surgeons. French and English versions of the survey were created, distributed, and administered using Google Forms. Main Outcomes and Measures: Survey questions were formulated to characterize resident diversity and training experience. Self-perceptions of diversity, mentorship, and training experience were evaluated using a 5-point Likert scale (1 for strongly disagree, 2 for disagree, 3 for neither agree or disagree, 4 for agree, and 5 for strongly agree) and open-ended responses. The frequency of perceived unprofessional workplace encounters was evaluated using a 5-point scale (1 for daily, 2 for weekly, 3 for monthly, 4 for annually, and 5 for never). Results: Of the 510 general surgery residents invited, a total of 210 residents (40.5%) completed the survey. Most respondents were younger than 30 years (119 [56.7%]), were women (112 [53.3%]), reported English as their first language (133 [63.3%]), did not identify as a VM (147 [70.0%]), had no dependents (184 [87.6%]), and were Canadian medical graduates (178 [84.8%]). Women residents who identified as VM compared with male residents who did not identify as a VM were less likely to agree or strongly agree that they had a collegial relationship with staff, (21 [63.6%] vs 61 [89.7%]; P = .01), to feel like they fit in with their training programs (21 [63.6%] vs 56 [82.3%]; P = .003), and to feel valued at work (15 [45.4%] vs 47 [69.1%]; P = .03). Both female residents and female residents who identified as VM described significant concerns about receiving fewer training opportunities because of their gender vs their male peers (54 [48.2%] vs 3 [3.0%]; P < .001). Ninety-one of 112 female residents (81.2%) reported feeling that their medical expertise was dismissed because of their gender at least once annually, with 37 women (33.0%) experiencing dismissal of their expertise at least once every week (P < .001). In contrast, 98% of male residents reported never experiencing dismissal of their medical expertise because of their gender. Similarly, residents with VM status vs those without VM status reported at least monthly dismissal of their expertise because of their race/ethnicity (9 of 63 [14.3%] vs 1 of 147 [0.7%]; P < .001). Conclusions and Relevance: In this study, female sex and VM status appeared to be associated with adverse implications for the training experience of general surgery residents. These findings suggest that new strategies focused on the intersectionality of gender and race/ethnicity are needed to improve the training experience of at-risk residents.

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Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,080
Score d'incertitude au seuil0,277

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,052
Tête enseignante GPT0,259
Écart entre enseignants0,207 · 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