A “U-shaped" Curve: Appreciating How Primary Care Residency Intention Relates to the Cost of Board Preparation and Examination
Notice bibliographique
Résumé
INTRODUCTION: The shortage of primary care physicians in the United States has warranted an investigation into how medical education debt and other factors influence medical students' interests in primary care (PC) residencies. However, sparse research has studied how the cost of board preparation and examination relates to career choice. The objective of this study was to determine if there is an association between the cost of preparing and sitting for board examinations and the intention to enter a PC residency for osteopathic medical students. METHODS: We postulated that students who incurred higher financial costs from preparing and sitting for board examinations would be more likely to be interested in non-primary care (NPC) residencies. Using a non-experimental survey design, this study asked respondents to evaluate the following: "I plan to enter a Primary Care Residency (Family Medicine OR General Internal Medicine OR Pediatrics)" using a Likert scale. Respondents were also asked to select which board examination(s) and pertinent resource(s) they had purchased. Total costs were calculated per student. RESULTS: A total of 25,852 osteopathic medical students received the survey, of which 1,280 students responded to and completed it, yielding a 4.95% response rate. The distribution of respondents' intentions to pursue a primary care residency and costs spent yielded a "U" shaped curve. Respondents who Strongly Agreed and Strongly Disagreed to the statement "I plan to enter a Primary Care Residency" spent $5,744 and $5,070 on board-preparation and examination, respectively. No statistically significant differences were found between the cost of preparing and sitting for board examinations and the intention to enter primary care residencies when individuals were grouped by year in school and gender. CONCLUSIONS: Because competitive NPC specialties have relatively higher salaries, we suspected that students who intended to pursue these specialties would have had higher financial costs from board examination and preparation compared to students who intended to pursue PC residencies such as family medicine. Our findings further illustrate these specific educational costs do not correlate with students' stated intentions to enter primary care residencies. As efforts continue to determine a solution for the primary care physician shortage, it becomes clearer that the focus must also encompass non-financial influences that shape career choice.
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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 | 0,024 | 0,145 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,003 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,003 |
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 ».