17 Factors Influencing Medical Students' Choice of Residency Programs in Pediatrics
Notice bibliographique
Résumé
Considerable time, effort, and expense are involved in the interview and match process for medical students applying to residency programs in North America. However, little is known about the factors that students consider important when making their decision. This study was designed to identify and rank factors that influence medical students' ranking of Canadian postgraduate pediatric residency programs. A cross-sectional web-based survey was sent to 91 final year medical students who ranked a pediatric program as their first choice in the February 2003 Canadian residency match. Data on age, gender and status (single or in a committed relationship) were collected. The sixty-three item survey addressed six domains: geographic location, influence of spouse/significant other, interview process, perceived quality of education, furture career plans, and a miscellaneous domain. Responses were based on a 5-point Likert scale (1=not important; 5=very important). Sixty-six of the ninety-one (72%) final year medical students responded to the survey. Responses were analyzed separately for respondents who were single at the time of the match (n=27) and for respondents in a committed relationship (n=39). Among respondents reported as single, the domains most frequently rated as “very important” were geographic location (n=13, 48%) and perceived quality of education (n=10, 37%). Within the quality of education domain all single respondents rated resident perception of collegiality and support as “very important”. Among respondents in a committed relationship the domain for significant other was most frequently rated “very important” (n=17, 44%), within which, transferability and proximity were the most significant components. Perceived quality of education (n=12, 31% rated “very important”) and geography (n=9, 23% rated as “very important”) received the next highest number of ratings. Twenty-five (93%) single respondents and thirty-three (85%) respondents in a relationship reported that the interview process played a role in their decision making. Of the total group of respondents, forty (61%) stated that they would not be interested in a central interview process. Sixty-two (94%) applicants said they would not want to have a video interview. Program-specific and personal factors influence medical students' decision making in relation to their choice of pediatric residency program. This information may assist program directors in planning the selection process to accommodate the needs of students.
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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 | 0,001 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 ».