The Teams | The Work

Inclusion of Students with Disabilities in Medical Education

Prevalence Study

This study was designed to benchmark and follow the number of allopathic (MD) medical students who disclose a disability and register with disability services over a period of 10 years. 

 

Wave 1 of data collection and benchmarking 2015-16

Wave 2 of data collection 2018-19

Wave 3 of data collection 2021-22

Wave 4 of data collection 2025-26

Team: 

Research Manager: Ben Case

PI: Lisa Meeks 

Analysts: Kurt Herzer, Missy Plegue 

Researchers: Bonnie Swenor

Building a pipeline for the biomedical workforce

Research study calling for deaf and hard of hearing students, linked to DHOH research

Success and attrition among deaf healthcare students and professionals: Describing an underrepresented minority segment of the healthcare workforce. 

PI: Chris Moreland, Co-PI: Lisa Meeks

The Pathway Project 

Performance and trajectory of medical students with disabilities

 

12 institutions

January 2020-May 2020

PI's: Dr's Lisa Meeks and Micheal Kim

Institutional Impact Study 

 

AIM: To identify the institutional impact of non-accommodation on USMLE exams

 

PI: Lisa M. Meeks, PhD 

Co-I: Kristina Peterson, PhD

June 2020-August 2020

Psychological Disabilities

Our team is conducting a rapid review of the literature to discern the literature on accommodations for psychological disabilities in health science programs

TEAM:

Patricia Anderson

Fragoso Ligia Fragoso-Delgado

Legal Trends  

Our team is working to catalog legal cases involving health science programs to identify trends and inform best practices in health science education and disability inclusion.

TEAM:

Lisa Meeks, PhD

Elisa Laird, JD

Maher Budron

Sarah Pancino

US-DO

Programs

Prevalence 

Study

Image by Luis Melendez
Team: 

PI: Lisa Meeks 

Co-I: Ben Case

Analyst: Missy Plegue 

This study was designed to benchmark and follow the number of osteopathic medical students who disclose a disability and register with disability services over a period of 10 years. 

 

Wave 1 of data collection and benchmarking 2020

Wave 2 of data collection 2022

Wave 3 of data collection 2024

Wave 4 of data collection 2026

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