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Usage Information

Comparing MD-PhD trainee experiences by disciplinary background
Cambray Smith, Evans K. Lodge, C. Ray Cheever, Seth M. Holmes, Anna R. Kahkoska
Cambray Smith, Evans K. Lodge, C. Ray Cheever, Seth M. Holmes, Anna R. Kahkoska
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Physician-Scientist Development

Comparing MD-PhD trainee experiences by disciplinary background

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Abstract

MD-PhD trainees increasingly pursue PhDs in social sciences, humanities, and public health (SSHPH). We characterized SSHPH trainee experiences and compared them with those of peers in traditional biomedical disciplines. From March to July 2023, a nationwide survey was sent to US MD-PhD programs that accept SSHPH trainees. Both SSHPH and non-SSHPH trainees participated in a survey focused on belonging, challenges and barriers, funding, and leadership recommendations. Quantitative data were analyzed using Fisher’s exact tests, Student’s t tests, and Wilcoxon’s rank-sum tests. Qualitative comments were analyzed using a hybrid deductive-inductive approach. 234 MD-PhD trainees across the US participated, with 111 (47.4%) in SSHPH and 123 (52.6%) in non-SSHPH disciplines. Overall, there were many similarities between trainees across disciplinary groups, but small and consistent differences were noted among SSHPH trainees, including decreased belonging, difficulty identifying role models, and increased work requirements during graduate school. Respondents had 5 recommendations for MD-PhD leaders and 3 recommendations for the NIH, such as integrating SSHPH scholars into speaker series and incentivizing funding parity. Limitations include high percentages of missing responses. This exploratory study provides insights into SSHPH MD-PhD trainee experiences, highlighting similarities and unique needs that can be addressed within and across MD-PhD programs.

Authors

Cambray Smith, Evans K. Lodge, C. Ray Cheever, Seth M. Holmes, Anna R. Kahkoska

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Usage data is cumulative from April 2026 through July 2026.

Usage JCI PMC
Text version 1,751 0
PDF 427 0
Table 189 0
Supplemental data 146 0
Citation downloads 293 0
Totals 2,806 0
Total Views 2,806

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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