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Enregistrement W2328922370 · doi:10.1097/acm.0b013e31828b7c8f

Preparation for Medical School

2013· editorial· en· W2328922370 sur OpenAlexaboutno aff
David P. Sklar

Notice bibliographique

RevueAcademic Medicine · 2013
Typeeditorial
Langueen
DomaineMedicine
ThématiqueMedical Education and Admissions
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedical educationMEDLINEMedicineChemistry

Résumé

récupéré en direct d'OpenAlex

This issue of Academic Medicine presents one commentary and four articles1–5 that discuss the research leading to the changes that will be made in the 2015 version of the MCAT exam (these changes are summarized in this issue’s AM Last Page6). In addition, a Perspective7 from Canada analyzes several aspects of the exam to explore whether it meets the needs of medical school admission committees in that country. Finally, a commentary8 from Australia discusses the potential contribution of writing-based assessment in light of the decision to remove the MCAT Writing Sample. Reviewing these seven contributions has given me the opportunity to reflect on premedical education and the role of the MCAT exam in assisting with the admission process. The current revision of that test is the first since 1991. The recommendations for the revision emerged after deliberations of a distinguished panel with input from faculty, students, and groups of a variety of experts. Schwartzstein et al1 describe the review process and the recommendations that resulted. Because the content of the MCAT exam will drive much of the premedical curriculum, changes in the test to include sections on the social and behavioral sciences and critical thinking will have a major impact on the course selection and academic experiences of students preparing for medical school. As we review the new content areas of the MCAT exam, it is also worth considering how well MCAT scores on the current version of the test have predicted future success in medical school. Dunleavy et al2 examine 2001–2004 U.S. medical school matriculants’ MCAT total scores and undergraduate grade point averages as predictors of unimpeded progress through medical school. They found that a combination of both measures was a good predictor of unimpeded progress. In another article, Monroe et al3 compare today’s admission process with that of the mid-1980s. The authors state that “arguably, the most notable change … is the increased importance placed on nonacademic data in making acceptance decisions.” Understanding trends in the admission process is valuable in providing a context for the MCAT exam and how its scores are used. Davis et al4 examine differences in the MCAT scores of black, white, and Latino applicants to explore whether there is bias in the test. Although they did find differences in mean scores, they did not find evidence of bias in the prediction of future performance in medical school on the indicators studied. Koenig et al5 report research on the personal competencies (e.g., social and interpersonal skills) important for entering medical students’ success in medical school and discuss ways in which they could be assessed as part of the admission process. They define nine personal competencies but indicate that there is not yet a clear method for accurate assessment. I believe that, for now, interviews and examination of past achievements, while of variable reliability, will likely continue to be used by admission committees in the absence of better methods of assessment. Taken as a whole, these articles should encourage a careful examination of the current approach to medical school admission. While the processes for reviewing the MCAT exam and the recommendations emanating from those reviews can give us confidence that many important questions were considered, those processes cannot tell us whether our current premedical education and admission practices are fostering the best future physician workforce possible. For example, what about the students who are filtered out of the current admission process because of their performance on the test? How might they have contributed to the health care system if they had been admitted to medical school? Eskander et al7 ask similarly provocative questions from a Canadian perspective to stimulate our thinking about the use of the MCAT exam. Examining the admission process leads us to ask whether our current approach to premedical education is the right one. Students preparing for medical school pursue a curriculum that has predominantly included a concentration in the biological sciences. Over the years, critics have raised objections to this approach to the premedical curriculum. Lewis Thomas, in The Medusa and the Snail,9 called for the complete elimination of the concept of the premedical curriculum and of the distinct identity of students as “premeds.” He expressed concern about the negative impact on individuals’ development and on the educational environment. Gunderman and Kanter10 revisited the Thomas essay in this journal in 2008 and found that many of the criticisms raised by Thomas continued to exist. They agreed that the undergraduate experience was as important as medical school in developing future physicians and that a fully formed physician must have the background to reflect on the human condition. Emanuel11 argued in a similar vein in 2006 that much of the physical sciences education included in the premedical curriculum was wasteful and should be eliminated. Mount Sinai School of Medicine took up the challenge put forth by these critics and created an admission process that eliminates the MCAT exam and science requirements for a subset of humanities-oriented students. The school has found that the performance of the humanities-oriented students at medical school is similar to that of the traditionally trained students and that those students have been more likely to enter primary care.12 The MCAT exam drives much of the premedical course work, as it provides an objective comparison between students from a variety of educational programs and institutions who must master similar content to prepare for the test. This content must be included in all courses that align with MCAT areas of concentration. A question we need to ask is, Will the new MCAT exam help not only to identify those who will succeed in passing medical school courses and national board exams but also help to recruit and select a workforce that will meet the needs of our population and changing delivery system? We will need a physician workforce whose members will want to serve diverse communities in both rural and urban environments, will function as parts of interprofessional teams, and will strive to continue to learn and improve their individual skills as well as the overall quality of the health care system. Will the inclusion of social sciences and critical thinking in the MCAT exam attract and support the applications of individuals with the interests and skills to be effective in that future workforce? Will elimination of the Writing Sample lead to a de-emphasis on written communication skills and higher-level thinking and expression, as McCurry and Chiavaroli8 suggest in their commentary? Premedical programs and the MCAT exam have multiple purposes. One is preparing and assessing students for medical school education so that we minimize the possibility that students will fail after entering medical school and the associated waste of valuable training resources. Another is to create objective criteria that will promote fairness in selecting students when the number of qualified applicants exceeds the number of positions available. However, the premedical curriculum and the MCAT exam should not discourage students who could contribute because they excel in nontraditional areas such as arts, humanities, and social sciences. As I review previous criticisms of premedical training and the MCAT exam, I ask myself why change from our current approaches of preparing and evaluating premedical students has been so slow. Aside from the legitimate difficulties and risks inherent in changing these approaches, I suspect that our slowness reflects a lack of an overall vision of what we want the outcome of our educational process to be, compounded by the constant growth of important new scientific knowledge. Without a clear vision of our intended goals in medical education, we are likely to become mired in the many arguments to resist change. I believe that a way forward might be to experiment with alternative approaches, as Mount Sinai has done or as some of the BA/MD programs around the country have done.13 This could be accomplished without formally changing admission policy. Sometimes change can be best achieved through the development of alternative tracks rather than a head-on confrontation with an entrenched orthodoxy. Perhaps a new examination of premedical education and the use of MCAT scores can encourage more experiments in which schools admit cohorts of students with types of excellence that are different from those found in our current premedical model. The articles in this issue of Academic Medicine should inspire us to consider not only the specific questions they addressed but the larger questions of the continuum of medical education, what we will expect from our future physicians, and how we can match these expectations with the diversity of talents and skills of those interested in careers in medicine. David P. Sklar, MD Editor’s Note: The opinions expressed in this editorial do not necessarily reflect the opinions of the Association of American Medical Colleges or its members.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,343
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,341
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,343
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0040,004
Charge utile insuffisante (le modèle a refusé de juger)0,0800,001

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 Opus0,030
Tête enseignante GPT0,449
Écart entre enseignants0,420 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations7
Publié2013
Routes d'admission1
Résumé présentoui

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