Trends in Obstetrics and Gynecology Residency Applications in the Year After Abortion Access Changes.

Importance: State-specific abortion restrictions currently affect the training of approximately 44% of obstetrics and gynecology (OBGYN) residents in the US. Examination of where future trainees apply for residency is important. Objective: To assess changes in the percentage of applicants to OBGYN residency programs by state based on abortion restrictions in place after the Dobbs v Jackson Women's Health Organization (hereafter, Dobbs v Jackson) US Supreme Court decision and examine whether applicants' preference for programs, as suggested by the distribution of application signals that express higher interest, was associated with abortion bans. Design, Setting, and Participants: This serial cross-sectional study used anonymized data for all applicants to OBGYN residency programs in the US during September and October from 2019 to 2023. Data were obtained from the Association of American Medical Colleges Electronic Residency Application Service. Exposures: Applications and program preference signals sent to OBGYN residency programs, analyzed by applicants' self-reported demographics. Main Outcomes and Measures: The primary outcome was differences in the percentage of unique applicants to OBGYN residency programs from 2019 to 2023, with programs categorized by state-based abortion restrictions after the Dobbs v Jackson decision. Secondary outcomes included the distribution of program signals by state abortion ban status. Results: A total of 2463 applicants (2104 [85.4%] women) who applied to OBGYN programs for the 2023 residency match cycle were the focal sample of this study. While overall applicant numbers remained stable between 2019 and 2023, the number of applicants differed significantly by state abortion ban status in the 2022 (F2,1087 = 10.82; P < .001) and the 2023 (F2,1087 = 14.31; P < .001) match cycles. There were no differences in the number of signals received by programs in states with bans after controlling for known covariates such as number of applications received and program size, and there were no differences in the percentage of signals sent by out-of-state applicants to programs in states with different abortion laws than their home states (F2,268 = 2.41; P = .09). Conclusions and Relevance: In this cross-sectional study, there was a small but statistically significant decrease in the number of applicants to OBGYN residency programs in states with abortion bans in 2023 compared with 2022. However, applicant signaling data did not vary by states' abortion ban status. While OBGYN residency programs almost completely filled in 2023, continued monitoring for the potential consequences of state abortion bans for OBGYN training is needed.

A Model for Exploring Compatibility Between Applicants and Residency Programs: Right Resident, Right Program.

Holistic review of residency applications is touted as the gold standard for selection, yet vast application numbers leave programs reliant on screening using filters such as United States Medical Licensing Examination scores that do not reliably predict resident performance and may threaten diversity. Applicants struggle to identify which programs to apply to, and devote attention to these processes throughout most of the fourth year, distracting from their clinical education. In this perspective, educators across the undergraduate and graduate medical education continuum propose new models for student-program compatibility based on design thinking sessions with stakeholders in obstetrics and gynecology education from a broad range of training environments. First, we describe a framework for applicant-program compatibility based on applicant priorities and program offerings, including clinical training, academic training, practice setting, residency culture, personal life, and professional goals. Second, a conceptual model for applicant screening based on metrics, experiences, attributes, and alignment with program priorities is presented that might facilitate holistic review. We call for design and validation of novel metrics, such as situational judgment tests for professionalism. Together, these steps could improve the transparency, efficiency and fidelity of the residency application process. The models presented can be adapted to the priorities and values of other specialties.

Bringing Depth and Meaning to Perinatal Quality Improvement by Partnering With Patients.

The quality of maternal care in the United States has garnered attention as the public has been made aware of outcome data and stories of patients' experiences. Calls to action from national leaders include a focus on evidence-based clinical practice and on interventions that meaningfully include patients and their families in their own care and in identifying promising practices to fill existing gaps. This article provides a look at the methods to identify needs from the patient and family perspective to help improve the quality of maternal care.