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Enregistrement W3007311452 · doi:10.1093/jcag/gwz047.138

A139 CANADIAN GASTROENTEROLOGY CAREER PATHWAY EXPERIENCES: A GENDER DIVIDE UNDER EXAMINATION

2020· article· en· W3007311452 sur OpenAlexaffabout
Noor Jawaid, Monica Boctor, Jordan LoMonaco, Natasha Bollegala

Notice bibliographique

RevueJournal of the Canadian Association of Gastroenterology · 2020
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueDiversity and Career in Medicine
Établissements canadiensWomen's College HospitalUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésSubspecialtyMedicineThematic analysisFamily medicinePsychological interventionDescriptive statisticsDemographyPsychologyQualitative researchNursing

Résumé

récupéré en direct d'OpenAlex

Abstract Background The number of Canadian gastroenterologists has been on the rise in the last 20 years but female representation has stayed disproportionately low (30%). Gastroenterology has remained a male dominated subspecialty despite research showing as early as 1990’s that systemic gender-based barriers exist. Aims To determine whether GI career profiles differ between male and female gastroenterologists and understand barriers to career advancement related to gender in order to help shape future interventions to counteract these issues. Methods A 51-question survey was disseminated to gastroenterologists practicing in Canada. Using provincial College of Physicians and Surgeons websites, an electronic survey was sent to GIs with email addresses and a paper copy to those with fax numbers. The Canadian Association of Gastroenterology sent our survey link in their September 2019 membership email. The survey included questions pertaining to personal, professional, financial and practice characteristics of participants. Data was analyzed using SAS statistical program, and descriptive analysis with 95% confidence intervals was used to compare proportions of men and women. Nonparametric tests were used for continuous data. Qualitative thematic analysis was applied for short answer responses. Results Total 98 responses received (14.7% response rate) with 35% female respondents. Majority had adult, urban practices (86%) but males reported significantly more endoscopy time (42% v. 30%) vs. females who spent more time on research (23% v. 10%). Men were more likely to be married and have children than females. Women were more likely to not only have to choose between their marriage and their career, but more chose marriage compared to men specifically taking time off for maternity or childcare needs. Men were more likely to leave childcare predominantly to their spouse whereas women were more likely to share responsibility of childcare with spouse and hired help. Even after adjusting for age, males earned a significantly higher income than females (>$100,000 difference). 40% of men reported a salary over $600,000, compared to only 4% of women. Several gender-based biases were cited by females during their staff GI career: receiving less recognition for their work, challenging relationships with senior colleagues and support staff, inferior promotion opportunity, more difficulty publishing research and having their competency challenged by peers. Conclusions This survey shows that there are still many differences in the Canadian GI career pathway experience based on gender. Female GIs are disproportionately negatively affected in their clinical and academic practices, renumeration and work-life balance. Understanding these disparities is the first step towards remedying gender inequality in GI workplace culture. Funding Agencies None

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)0,008
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: Incitatifs · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,996
Score d'incertitude au seuil0,455

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,008
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0030,005
Études des sciences et des technologies0,0230,004
Communication savante0,0060,002
Science ouverte0,0020,004
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0110,000

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 Opus0,034
Tête enseignante GPT0,235
Écart entre enseignants0,201 · 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.

Devis d'étudeQualitatif
DomaineIncitatifs
GenreEmpirique

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

En bref

Citations2
Publié2020
Routes d'admission2
Résumé présentoui

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Même revueJournal of the Canadian Association of Gastroenterology→Même sujetDiversity and Career in Medicine→Travaux en français237 207→