Integrated Holistic Student Affairs: A Personalized, Equitable, Student-Centered Approach to Student Affairs

Occupying liminal spaces: The figured worlds of student affairs senior leaders in the United States

INTRODUCTION

Student Affairs Senior Leaders (SASLs) in the United States lead offices responsible for academic advising, administrative documentation, scheduling, student health, financial aid, and transition to residency, yet they infrequently draw attention in the field's literature. We explore the role of SASLs and how they describe the social space of medical education.

METHODS

Using a constructivist approach informed by Figured Worlds theory, we conducted a sequential narrative and thematic analysis of the stories SASLs tell about their roles and experiences in the world of medical education.

RESULTS

SASLs inhabit complex roles centred on advocating for medical students' academic, personal and social well-being. Their unique position within the medical school allows them to see the harm to vulnerable students made possible by misalignments inherent within medical education. Yet even with the challenges inherent in the environment, SASLs find reasons for hope.

CONCLUSION

SASLs' identities are full of potential contradictions, but they have a unique view into the often-chaotic world of medical education.

Challenges Facing First-Generation College Graduates in Medical School: A Qualitative Analysis

Importance

First-generation (FG) medical students remain underrepresented in medicine despite ongoing national efforts to increase diversity; understanding the challenges faced by this student population is essential to building holistic policies, practices, and learning environments that promote professional actualization. Although FG students have been extensively studied in the undergraduate literature, there is little research investigating how FG students experience medical education or opportunities for educators to intervene.

Objective

To explore challenges that FG students experience in undergraduate medical education and identify opportunities to improve foundational FG support.

Design, Setting, and Participants

This qualitative study was conducted using an online platform with 37 FG students enrolled in 27 US medical schools. An interprofessional team of medical educators and trainees conducted semistructured interviews from November 2021 through April 2022. Participants were recruited using a medical student listserv. Data were analyzed from April to November 2022.

Main Outcomes and Measures

After conducting a preliminary analysis using open coding, a codebook was created and used in a thematic analysis; the codebook used a combination of deductive and inductive coding.

Results

Among the 37 students recruited for this study, 21 (56.8%) were female; 23 (62.2%) were in the clinical phase of training; 1 (2.7%) was American Indian or Alaska Native, 7 (18.9%) were Hispanic, Latino, or of Spanish origin, 8 (21.6%) were non-Hispanic Asian or Asian American, 9 (24.3%) were non-Hispanic Black or African American, and 23 (32.4%) were non-Hispanic White; mean (SD) age was 27.3 (2.8) years. Participants described 4 major themes: (1) isolation and exclusion related to being a newcomer to medicine; (2) difficulty with access to basic resources (eg, food, rent, transportation) as well as educational (eg, books); (3) overall lack of faculty or institutional support to address these challenges; and (4) a sense of needing to rely on grit and resilience to survive.

Conclusions and Relevance

Although grit and resilience are desirable traits, results of this study suggest that FG medical students face increased adversity with inadequate institutional support, which forces them to excessively rely on grit and resilience as survival (rather than educational) strategies. By applying the holistic model often used in admissions to the postmatriculation educational process, targeted and flexible initiatives can be created for FG students so that all students, regardless of background, can achieve robust professional actualization.

Objective Residency Applicant Assessment Using a Linear Rank Model

OBJECTIVES

Residency applicant assessment is imperfect, with little objectivity built into the process, which, unfortunately, impacts recruitment diversity. Linear rank modeling (LRM) is an algorithm that standardizes applicant assessment to model expert judgment. Over the last 5 years, we have used LRM to assist with screening and ranking integrated plastic surgery (PRS) residency applicants. This study's primary objective was to determine if LRM scores are predictive of match success and, secondarily, to compare LRM scores between gender and self-identified race categories.

DESIGN

Data was collected on applicant demographics, traditional application metrics, global intuition rank, and match success. LRM scores were calculated for screened and interviewed applicants, and scores were compared by demographic groups. Univariate logistic regression was used to evaluate the association of LRM scores and traditional application metrics with match success.

SETTING

University of Wisconsin, Division of Plastic and Reconstructive Surgery. Academic institution.

PARTICIPANTS

Six hundred seventeen candidates who applied to a single institution over 4 application cycles (2019-2022).

RESULTS

Using area under the curve modeling, LRM score was the most predictive indicator for match success. With every one-point increase in LRM score, there was an 11% and 8.3% increase in the likelihood of screened and interviewed applicant match success (p < 0.001). An algorithm was developed to estimate the probability of match success based on LRM score. No significant differences in LRM scores were appreciated for interviewed applicant gender or self-identified race groups.

CONCLUSIONS

LRM score is the most predictive indicator of match success for PRS applicants and can be used to estimate an applicant's probability of successfully matching into an integrated PRS residency. Furthermore, it provides a holistic evaluation of the applicant that can streamline the application process and improve recruitment diversity. In the future, this model could be applied to assist in the match process for other specialties.