Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

12.5K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.5K
Factors affecting Blood pressure01:28

Factors affecting Blood pressure

5.0K
Several physiological and lifestyle factors influence blood pressure (BP). Understanding these factors is crucial as they are significant in patient education and blood pressure management.
Physiological Factors:
5.0K
Longitudinal Studies01:26

Longitudinal Studies

252
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
252
Regression Toward the Mean01:52

Regression Toward the Mean

6.5K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.5K
Health Literacy01:21

Health Literacy

4.2K
Health literacy is an individual's or a community's capacity to comprehend, receive, read, and use relevant healthcare information and services. The World Health Organization (WHO, 2018) defines health literacy as the cognitive and social skills that determine the ability of individuals to gain access to, understand, and use information in ways that promote and maintain good health. As a result, the WHO helps individuals manage long-term health concerns, participate in preventative...
4.2K
Factors Influencing Drug Absorption: Disease States and Pharmacology01:25

Factors Influencing Drug Absorption: Disease States and Pharmacology

823
Multiple disease states can significantly influence the oral drug absorption process by affecting blood flow and the functionality of the gastrointestinal (GI) system. Various GI diseases, including conditions that alter GI motility, such as diarrhea, decreased acid secretions (achlorhydria), and infections, have been associated with reduced drug absorption.
Substances such as alcohol and specific drugs, including antineoplastics, can also negatively impact drug absorption. For instance,...
823

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Clinical Outcomes Following Anatomic Medial Patellofemoral Ligament Reconstruction With Concomitant Procedures in Skeletally Immature Patients With Patellar Instability.

Orthopaedic journal of sports medicine·2026
Same author

Medical School Cohorts and Preparedness to Work With Individuals From Different Backgrounds: A Cross-Sectional Study.

Health science reports·2026
Same author

Addressing national health care needs: recent US MD graduates and their intention to practice in underserved areas.

Academic medicine : journal of the Association of American Medical Colleges·2026
Same author

CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models.

Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing·2025
Same author

Vessel-aware aneurysm detection using multi-scale deformable 3D attention.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2025
Same author

Retrieving Evidence from EHRs with LLMs: Possibilities and Challenges.

Proceedings of machine learning research·2024

Related Experiment Video

Updated: Sep 16, 2025

Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
09:55

Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology

Published on: September 28, 2022

1.8K

Medical School Attrition: Does Community College Background Matter?

Jonathan Ham1, Geoffrey Young2, Douglas Grbic3

  • 1University of Virginia School of Medicine, Charlottesville, VA USA.

Medical Science Educator
|July 8, 2025
PubMed
Summary

Medical school applicants from community colleges (CC) are often unfairly judged. This study found no difference in graduation or attrition rates between students with and without a CC background.

Keywords:
AttritionCommunity collegeDiversityStudent supportUndergraduate medical education

More Related Videos

Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience
10:17

Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience

Published on: November 15, 2024

1.2K
E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
06:28

E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

Published on: August 1, 2019

8.4K

Related Experiment Videos

Last Updated: Sep 16, 2025

Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
09:55

Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology

Published on: September 28, 2022

1.8K
Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience
10:17

Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience

Published on: November 15, 2024

1.2K
E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
06:28

E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

Published on: August 1, 2019

8.4K

Area of Science:

  • Medical Education Research
  • Higher Education Studies
  • Student Success Metrics

Background:

  • US medical school applicants from community colleges (CC) face lower acceptance rates.
  • Potential bias may stem from concerns about academic preparedness and graduation.
  • Previous academic achievement does not fully explain this disparity.

Purpose of the Study:

  • To investigate if students with a community college background have higher attrition rates in medical school.
  • To compare graduation and attrition rates between medical students with and without a CC background.
  • To inform admissions policies regarding CC-educated applicants.

Main Methods:

  • Comparative analysis of medical student cohorts at MD-granting institutions.
  • Utilized multivariate regression to control for student characteristics.
  • Examined data on attrition and graduation rates.

Main Results:

  • No statistically significant difference in attrition rates was found between medical students with and without a CC background.
  • No significant difference in graduation rates was observed between the two groups.
  • Multivariate analysis confirmed that CC background does not predict poorer outcomes.

Conclusions:

  • Concerns about medical school attrition should not be a barrier for admitting students with a community college background.
  • Admissions committees can confidently consider CC students based on academic merit.
  • This research suggests existing biases against CC students in medical school admissions are unfounded regarding academic performance.