Literature DB >> 23524917

An overview of the medical school admission process and use of applicant data in decision making: what has changed since the 1980s?

Alicia Monroe1, Erin Quinn, Wayne Samuelson, Dana M Dunleavy, Keith W Dowd.   

Abstract

PURPOSE: To investigate current medical school admission processes and whether they differ from those in 1986 when they were last reviewed by the Association of American Medical Colleges (AAMC).
METHOD: In spring 2008, admission deans from all MD-granting U.S. and Canadian medical schools using the Medical College Admission Test (MCAT) were invited to complete an online survey that asked participants to describe their institution's admission process and to report the use and rate the importance of applicant data in making decisions at each stage.
RESULTS: The 120 responding admission officers reported using a variety of data to make decisions. Most indicated using interviews to assess applicants' personal characteristics. Compared with 1986, there was an increase in the emphasis placed on academic data during pre-interview screening. While GPA data were among the most important data in decision making at all stages in 1986, data use and importance varied by the stage of the process in 2008: MCAT scores and undergraduate GPAs were rated as the most important data for deciding whom to invite to submit secondary applications and interview, whereas interview recommendations and letters of recommendation were rated as the most important data in deciding whom to accept.
CONCLUSIONS: This study underscores the complexity of the medical school admission process and suggests increased use of a holistic approach that considers the whole applicant when making admission decisions. Findings will inform AAMC initiatives focused on transforming admission processes.

Entities:  

Mesh:

Year:  2013        PMID: 23524917     DOI: 10.1097/ACM.0b013e31828bf252

Source DB:  PubMed          Journal:  Acad Med        ISSN: 1040-2446            Impact factor:   6.893


  22 in total

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2.  Using holistic review to form a diverse interview pool for selection to medical school.

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Journal:  Proc (Bayl Univ Med Cent)       Date:  2019-03-28

3.  Class-Wide Access to a Commercial Step 1 Question Bank During Preclinical Organ-Based Modules: A Pilot Project.

Authors:  James H Baños; Mark E Pepin; Nicholas Van Wagoner
Journal:  Acad Med       Date:  2018-03       Impact factor: 6.893

4.  The new Medical College Admission Test: Implications for teaching psychology.

Authors:  Karen Mitchell; Richard S Lewis; Jason Satterfield; Barry A Hong
Journal:  Am Psychol       Date:  2016 Feb-Mar

5.  Factors Associated with Acceptance of Repeat MCAT Test Takers into a West Virginian Allopathic Medical School.

Authors:  Manuel C Vallejo; Lauren M Wamsley; Christa L Lilly; Emily K Nease; Linda S Nield
Journal:  South Med J       Date:  2021-12       Impact factor: 0.954

6.  Building the foundation of health-related knowledge via near-peer education for children with sickle cell disease.

Authors:  Elaissa L Trybus Hardy; Brenda Williams; Christopher Harden; Oluwamayokun Oshinowo; Renee Copeland; Marcus A Carden; Beatrice E Gee; Wilbur A Lam
Journal:  Pediatr Blood Cancer       Date:  2022-01-27       Impact factor: 3.838

7.  Graduate Education and Social Stratification.

Authors:  Julie R Posselt; Eric Grodsky
Journal:  Annu Rev Sociol       Date:  2017-05-03

8.  Are different medical school admission tests associated with the outcomes of a simulation-based OSCE?

Authors:  Lisa Bußenius; Sigrid Harendza
Journal:  BMC Med Educ       Date:  2021-05-07       Impact factor: 2.463

9.  A holistic review of the medical school admission process: examining correlates of academic underperformance.

Authors:  Terry D Stratton; Carol L Elam
Journal:  Med Educ Online       Date:  2014-04-01

10.  Examiner and simulated patient ratings of empathy in medical student final year clinical examination: are they useful?

Authors:  Barry Wright; Jean McKendree; Lewys Morgan; Victoria L Allgar; Andrew Brown
Journal:  BMC Med Educ       Date:  2014-09-22       Impact factor: 2.463

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