The relationship between gender, parenthood and practice intentions among family medicine residents: cross-sectional analysis of national Canadian survey data
Notice bibliographique
Résumé
BACKGROUND: Family medicine (FM) residents choose among a range of options as they enter practice, including practice model, clinical domains, settings, and populations. The choices they make have implications for primary care workforce planning and may differ between FM residents who are parents and those who are not, as well as between male and female FM residents. We investigate whether parenthood shapes intentions among FM residents entering practice and whether the effect of parenthood differs between male and female FM residents. METHODS: We conducted cross-sectional analysis of national survey data collected from FM residents in Canadian residency programs by the College of Family Physicians of Canada between 2014 and 2017. The survey captures information on intentions for comprehensive or focused practice, practice model, clinical domains, practice setting, and populations. We used chi-square tests and multivariable logistic regression to investigate the relationships between parenthood, gender, and practice intentions, adjusting for other physician personal characteristics. RESULTS: Almost a quarter of FM residents were parents or became parents during residency. Intentions for the provision comprehensive care were higher among parents, and intentions for clinically focused practice were lower. Differences in intentions for practice models, domains, and settings/population were primarily by gender, though in several cases the effects of parenthood differed between female and male FM residents. Even during residency, the effects of parenthood differ between male and female residents: while three quarters of male parents finish residency in two years, fewer than half of female parents do. CONCLUSIONS: Both parenthood and gender independently shape practice intentions, but the effect of parenthood differs for male and female FM residents. Supporting FM residents who are parents may positively impact the quality and availability of primary care services, especially since parents are more likely to report intentions to provide comprehensive care soon after entering practice.
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 | 0,016 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».