Factors influencing United States residency interview rates among African international medical graduates

Securing a residency position in the United States remains a significant challenge for International Medical Graduates (IMGs), particularly those from African countries. Although African IMGs contribute to approximately 25% of the U.S. physician workforce, they face unique barriers such as limited access to U.S. clinical experience, visa restrictions, and perceptions of lower-quality medical education. To enhance applicant visibility and improve equity in the selection process, the Association of American Medical Colleges (AAMC), through the Electronic Residency Application Service (ERAS), introduced program signaling and geographic preferencing. This study evaluates the impact of these mechanisms on interview outcomes for African IMGs during the 2023–2024 and 2024–2025 residency application cycles. A descriptive cross-sectional study was conducted among African IMGs who participated in the 2023–2024 and 2024–2025 NRMP Match. Logistic regression analysis was used to examine the association between applicant characteristics and the likelihood of receiving an above-average number of residency interviews. A total of 222 respondents participated, with most from Nigeria (77.7%), followed by Ghana, Cameroon, and other countries. The most preferred regions were Middle Atlantic (44.6%), East North Central (35.9%), and South Atlantic (29.2%). Applicants signaled an average of 12.5 programs and received 5.1 interview invitations on average. Of these, 2.9 interviews came from programs in preferred regions. On average, 2.1 interviews came from signaled programs within preferred regions, while 1.3 were from signaled programs outside those regions. Factors influencing program signaling included historical acceptance of African IMGs (73.9%), geographic preference (48.2%), and networking (38.7%). Higher interview rates were associated with recent graduation (≤ 5 years), no USMLE step failures, and Step 2 CK scores ≥ 249. Program signaling and geographic preferencing allowed applicants to express interest more directly but did not independently improve interview outcomes. Enhancing match success for African IMGs will require targeted strategies, including greater access to U.S. clinical experiences and strengthened USMLE preparation support.

Authors

Institutions

Publication Details

Journal
BMC Medical Education
Published
2025-08-28
DOI
https://doi.org/10.1186/s12909-025-07806-3
Primary Topic
Global Health Workforce Issues
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors influencing United States residency interview rates among African international medical graduates

Adedoyin Alao, Aliu O Yakubu, Nnaedozie Umeani, Oluwaseun Adeleke et al.
1 links
BMC Medical Education
Global Health Workforce Issues
article

Factors influencing United States residency interview rates among African international medical graduates

Adedoyin Alao, Aliu O Yakubu, Nnaedozie Umeani, Oluwaseun Adeleke, Tola Yinka Bakare, Tochukwu Cosmas Okoli, Peace Divine Akhimienmhona, David Opeyemi Olaewe, Oluwatobi Omoleye, Usman Hosea Ojoh, Chioma Mary Muotoh, Ofeoritse Murphy-Akpieyi
article en

Abstract

Securing a residency position in the United States remains a significant challenge for International Medical Graduates (IMGs), particularly those from African countries. Although African IMGs contribute to approximately 25% of the U.S. physician workforce, they face unique barriers such as limited access to U.S. clinical experience, visa restrictions, and perceptions of lower-quality medical education. To enhance applicant visibility and improve equity in the selection process, the Association of American Medical Colleges (AAMC), through the Electronic Residency Application Service (ERAS), introduced program signaling and geographic preferencing. This study evaluates the impact of these mechanisms on interview outcomes for African IMGs during the 2023–2024 and 2024–2025 residency application cycles. A descriptive cross-sectional study was conducted among African IMGs who participated in the 2023–2024 and 2024–2025 NRMP Match. Logistic regression analysis was used to examine the association between applicant characteristics and the likelihood of receiving an above-average number of residency interviews. A total of 222 respondents participated, with most from Nigeria (77.7%), followed by Ghana, Cameroon, and other countries. The most preferred regions were Middle Atlantic (44.6%), East North Central (35.9%), and South Atlantic (29.2%). Applicants signaled an average of 12.5 programs and received 5.1 interview invitations on average. Of these, 2.9 interviews came from programs in preferred regions. On average, 2.1 interviews came from signaled programs within preferred regions, while 1.3 were from signaled programs outside those regions. Factors influencing program signaling included historical acceptance of African IMGs (73.9%), geographic preference (48.2%), and networking (38.7%). Higher interview rates were associated with recent graduation (≤ 5 years), no USMLE step failures, and Step 2 CK scores ≥ 249. Program signaling and geographic preferencing allowed applicants to express interest more directly but did not independently improve interview outcomes. Enhancing match success for African IMGs will require targeted strategies, including greater access to U.S. clinical experiences and strengthened USMLE preparation support.

BMC Medical EducationVol. 25(1)
University of Nigeria (NG), University of Lagos (NG), University College Hospital, Ibadan (NG), Federal University Birnin Kebbi (NG), Ahmadu Bello University Teaching Hospital (NG), Lagos State Health Service Commission (NG), Obafemi Awolowo University Teaching Hospitals Complex (NG), Ladoke Akintola University of Technology (NG), V. N. Karazin Kharkiv National University (UA)
Openalex Percentile: Top 65%
Global Health Workforce Issues
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.