No abstract

Screening of applicants for admission to dental school often relies on metrics such as overall undergraduate grade point average (oGPA) and Dental Admission Test (DAT) scores to identify desirable prospective students. The aim of this study was to assess unintended selection bias that may be overlooked or mitigated with holistic review and the inluence of metrics at one U.S. dental school. Descriptive range analysis of oGPA and science GPA (sGPA), DAT scores, and total experience hours was performed for the 2017-18 application cycle for all applicants, those who self-identiied as underrepresented minorities (URM), non-traditional applicants (with postbaccalaureate or master's coursework), and socioeconomically disadvantaged (SED) applicants reporting low parental employment-occupation scores. The results showed that, in screening this school's applicant pool, metrics-based candidate selection would favor those candidates in the 80 th percentile of GPA and DAT Academic Average (AA) scores. Unless mitigated by other screening factors, reliance on these metrics tended to favor majority, traditional, and non-URM SED applicants. These indings suggested that the new admitted class would likely have fewer dental experience and employment hours than in the overall applicant pool. Interestingly, more non-traditional, SED, and URM applicants could be considered if higher general employment and dental experience hours had more impact in the screening process. These results illustrate the importance of deliberately considering non-cognitive metrics and characteristics to admit a more diverse student body.

The aim of this study was to improve understanding of predictors of student success in dental school. A total of 178 student records from the Classes of 2015 and 2016 at a U.S. dental school were reviewed for this retrospective study. The records assessed included admissions files with such elements as scores on the Dental Admission Test (DAT), participation in a pipeline program, and undergraduate transcripts; academic records from the first term of dental school (class rank, course remediation, and withdrawal/dismissal from dental school); and National Board Dental Examination (NBDE) Part I results. The results showed that the DAT Perceptual Ability Test was positively related to performance in the first term of dental school (p=0.030). The DAT Academic Average (p<0.0001) and participation in a pipeline program (p=0.006) were found to be predictors of performance in the lower 25% of the class by end of first term rank. Taking organic chemistry in a summer term during undergraduate study was identified as a predictor variable for dismissal, withdrawal, or entry into a decompressed curriculum (p=0.025). Although this analysis found that traditional predictors of academic success in dental school were associated with strong academic performance in the study sample, it also provided a more complex assessment of factors that may be associated with students who struggle in the first year. As the vast majority of students in this sample successfully completed dental school, the results were not sought to inform admissions criteria, but rather to help academic and student affairs officers identify at‐risk students in order to offer timely intervention.