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1.
Mil Med ; 188(11-12): e3652-e3656, 2023 11 03.
Artigo em Inglês | MEDLINE | ID: mdl-37192213

RESUMO

INTRODUCTION: Service members and veterans applying to medical schools can be a challenging experience. Often, the applicants have difficulty providing descriptions of their experiences. Additionally, their pathway to medical school is significantly different compared to traditional applicants. We sought to determine if there were statistically significant factors within a cohort of U.S. military medical school applications to a U.S.-based allopathic medical school to provide recommendations on how to best advise military applicants. METHODS: Data about social, academic, and military factors were collected and analyzed from the American College Application Service (AMCAS) applications to the West Virginia University School of Medicine (WVU SoM) from the 2017 to 2021 cycles. Eligibility criteria included the applications that indicated that the applicant listed any type of military experience. RESULTS: In the 5-year study period, there were 25,514 applicants to the WVU SoM, and 1.6% (n = 414) self-identified as military applicants. Of the military applicants, 28 (7%) were accepted to the WVU SoM. Statistically significant differences were found in several factors, including but not limited to academic performance, number of total experiences (14.5 vs. 12, P = .01), and number of military experiences (4 vs. 2, P = .003) listed on the AMCAS applications. In the accepted group, 88% of the applications included information about military experiences, which was understandable to the nonmilitary researchers compared to 79% in the nonaccepted group (P = .24). CONCLUSIONS: Premedical advisors can share statistically significant findings with military applicants, so they are informed about the academic and experiential factors associated with medical school acceptance. Applicants should also be advised to provide clear explanations of any military lexicon used in their applications. Although not statistically significant, there were a higher percentage of applications that contained descriptions of military language that was understandable to the civilian researchers in the accepted group vs. the nonaccepted group.


Assuntos
Medicina , Veteranos , Humanos , Estados Unidos , Faculdades de Medicina , Universidades , Fatores Sexuais
2.
South Med J ; 114(12): 801-806, 2021 12.
Artigo em Inglês | MEDLINE | ID: mdl-34853858

RESUMO

OBJECTIVES: A paucity of information exists to advise medical school applicants who have had to retake the Medical College Admission Test (MCAT) to achieve a competitive score. To better advise repeat test takers from West Virginia and other Appalachian and southern areas, MCAT data from West Virginia applicants were analyzed and compared with national data. METHODS: In the application cycles of 2017-2020, the following factors were analyzed in relation to medical school acceptance in West Virginia applicants: MCAT scores, the number of test-taking attempts, biology-chemistry-physics-math grade point average, time between test-taking attempts, and academic major. MCAT data from medical school applicants from West Virginia who took the test more than once also were compared with national data. RESULTS: Of the total repeat test takers from West Virginia (N = 285) in the study timeframe, 57 (20%) were ultimately accepted into medical school. Factors associated with medical school acceptance were as follows: first MCAT test score (odds ratio [OR] 1.3, 95% confidence level [CL] 1.2-1.4, P < 0.001), change in MCAT test score (OR 1.2, 95% CL 1.1-1.3, P = 0.0015), and biology-chemistry-physics-math grade point average (OR 15.1, 95% CL 4.2-54.8, P < 0.0001). The highest benefit for improved scores occurred between the first and second attempts. The highest point gain occurred when the first MCAT score was in the range of 477 to 487 (<1st-12th percentile); this finding was not found in the national data. CONCLUSIONS: Although the study was limited to West Virginia medical school applicants, this information could prove useful in advising premedical applicants from other Appalachian and southern US areas.


Assuntos
Medicina Osteopática/educação , Estudantes de Medicina/estatística & dados numéricos , Habilidades para Realização de Testes/normas , Avaliação Educacional/métodos , Avaliação Educacional/estatística & dados numéricos , Humanos , Razão de Chances , Medicina Osteopática/estatística & dados numéricos , Medicina Osteopática/tendências , Estudantes de Medicina/psicologia , Habilidades para Realização de Testes/psicologia , Habilidades para Realização de Testes/estatística & dados numéricos , West Virginia
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