The perceived organizational impact of the gender gap across a Canadian department of medicine and proposed strategies to combat it: a qualitative study
Notice bibliographique
Résumé
BACKGROUND: Despite the gender parity existing in medical schools for over three decades, women remain underrepresented in academic medical centers, particularly in senior ranks and in leadership roles. This has consequences for patient care, education, research, and workplace culture within healthcare organizations. This study was undertaken to explore the perspectives of faculty members at a single department of medicine on the impact of the existing gender gap on organizational effectiveness and workplace culture, and to identify systems-based strategies to mitigate the gap. METHODS: The study took place at a large university department of medicine in Toronto, Canada, with six affiliated hospitals. In this qualitative study, semi-structured individual interviews were conducted between May and September 2016 with full-time faculty members who held clinical and university-based appointments. Transcripts of the interviews were analyzed using thematic analysis. Three authors independently reviewed the transcripts to determine a preliminary list of codes and establish a coding framework. A modified audit consensus coding approach was applied; a single analyst reviewed all the transcripts and a second analyst audited 20% of the transcripts in each round of coding. Following each round, inter-rater reliability was determined, discrepancies were resolved through discussion, and modifications were made as needed to the coding framework. The analysis revealed faculty members' perceptions of the gender gap, potential contributing factors, organizational impacts, and possible solutions to bridge the gap. RESULTS: Of the 43 full-time faculty members who participated in the survey (29 of whom self-identified as female), most participants were aware of the existing gender gap within academic medicine. Participants described social exclusion, reinforced stereotypes, and unprofessional behaviors as consequences of the gap on organizational effectiveness and culture. They suggested improvements in (1) the processes for recruitment, hiring, and promotion; (2) inclusiveness of the work environment; (3) structures for mentorship; and (4) ongoing monitoring of the gap. CONCLUSION: The existing gender gap in academic medicine may have negative consequences for organizational effectiveness and workplace culture but many systems-based strategies to mitigate the gap exist. Although these solutions warrant rigorous evaluation, they are feasible to institute within most healthcare organizations immediately.
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 | 0,012 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,028 | 0,012 |
| Communication savante | 0,005 | 0,002 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».