Lines in the sand: pre-interview rank and probability of receiving admission to medical school.


Journal

Canadian medical education journal
ISSN: 1923-1202
Titre abrégé: Can Med Educ J
Pays: Canada
ID NLM: 101560935

Informations de publication

Date de publication:
Jul 2019
Historique:
entrez: 8 8 2019
pubmed: 8 8 2019
medline: 8 8 2019
Statut: epublish

Résumé

We provide an examination of one medical school's attempt to determine whether their cut-off point for number of interviews offered is congruent with the probability these applicants' have for admission post- interview. Offer probability was determined by organizing pre-interview rankings from 2013-2017 (n = 2,659) applicant cohorts into bins of 50 applicants and finding the quotient of successful and total applicants in each bin. A linear-by-linear association Chi-square test and adjusted standardized residuals with an applied Bonferroni correction were used to determine if the observed frequencies in each bin were different than expected by chance. A Spearman Correlation analysis between pre- and post-interview ranks was conducted. All applicants have between a 50.0% and 76.4% chance of admission. Observed frequencies are different than chance (χ(1)=50.835, p<.001), with a significantly greater number of offers seen in the bins between 1 and 100 (p<.001 for both bins). There is a weak positive relationship between pre- and post-rank, r The results indicate the number of interviews conducted does not exceed a threshold wherein individuals with a relatively low chance of admission are interviewed. Findings are interpreted with respect to ethical resource allocation for both programs and applicants.

Sections du résumé

BACKGROUND BACKGROUND
We provide an examination of one medical school's attempt to determine whether their cut-off point for number of interviews offered is congruent with the probability these applicants' have for admission post- interview.
METHODS METHODS
Offer probability was determined by organizing pre-interview rankings from 2013-2017 (n = 2,659) applicant cohorts into bins of 50 applicants and finding the quotient of successful and total applicants in each bin. A linear-by-linear association Chi-square test and adjusted standardized residuals with an applied Bonferroni correction were used to determine if the observed frequencies in each bin were different than expected by chance. A Spearman Correlation analysis between pre- and post-interview ranks was conducted.
RESULTS RESULTS
All applicants have between a 50.0% and 76.4% chance of admission. Observed frequencies are different than chance (χ(1)=50.835, p<.001), with a significantly greater number of offers seen in the bins between 1 and 100 (p<.001 for both bins). There is a weak positive relationship between pre- and post-rank, r
CONCLUSION CONCLUSIONS
The results indicate the number of interviews conducted does not exceed a threshold wherein individuals with a relatively low chance of admission are interviewed. Findings are interpreted with respect to ethical resource allocation for both programs and applicants.

Identifiants

pubmed: 31388376
pmc: PMC6681924

Types de publication

Journal Article

Langues

eng

Pagination

e49-e54

Déclaration de conflit d'intérêts

Conflicts of interest: The authors have no conflicts of interest to declare.

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Auteurs

Raquel Burgess (R)

Department of Family Medicine, McMaster University, Ontario, Canada.
Undergraduate Medical Education Program, Michael G. DeGroote School of Medicine, McMaster University, Ontario, Canada.

Meredith Vanstone (M)

Department of Family Medicine, McMaster University, Ontario, Canada.
Undergraduate Medical Education Program, Michael G. DeGroote School of Medicine, McMaster University, Ontario, Canada.
McMaster Education Research, Innovation and Theory (MERIT) program, Faculty of Health Sciences, McMaster University, Ontario, Canada.

Margo Mountjoy (M)

Department of Family Medicine, McMaster University, Ontario, Canada.
Undergraduate Medical Education Program, Michael G. DeGroote School of Medicine, McMaster University, Ontario, Canada.

Lawrence Grierson (L)

Department of Family Medicine, McMaster University, Ontario, Canada.
Undergraduate Medical Education Program, Michael G. DeGroote School of Medicine, McMaster University, Ontario, Canada.
McMaster Education Research, Innovation and Theory (MERIT) program, Faculty of Health Sciences, McMaster University, Ontario, Canada.

Classifications MeSH