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INTRODUCTION: As numeric data are becoming increasingly scarce in general surgery residency applications, the personal statement (PS) may be key to identifying candidates to interview. This study sought to determine if PSs of candidates invited for interview at our residency program had different qualities when compared to those not invited. MATERIALS AND METHODS: This single-institution study retrospectively reviewed the PSs of applications for a categorical general surgery position (2022). The scores assigned to PSs were compared. The content of PSs was qualitatively analyzed based on an a priori coding scheme. The codes of interest related to program alignment were the following: diversity, equity, and inclusion efforts, social determinants of health, and service to underserved communities. RESULTS: Of 308 applications, 112 (36%) applicants were invited to the interview. For applicants who were invited to the interview, the PSs were scored higher compared to those who were not invited (median 4.25 versus 3.5, P < 0.001). Highly scored PSs were more likely to include a personal story (74% versus 59%, P = 0.01) and mention diversity, equity, and inclusion efforts, social determinants of health, or service to under-served communities (62% versus 37%, P < 0.001). Also, a greater proportion of applicants who were invited to the interview wrote about these topics (71% versus 33%, P < 0.0001). CONCLUSIONS: At our institution, PS quality and content is associated with interview selection. A high-quality PS tended to include personal story about the applicants and signal value alignment with our institution. PSs should be placed at greater importance in the review process and emphasized as a marker for candidate and institutional alignment.

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Background Letters of recommendation (LORs) are an important part of the application process for medical residency programs with most specialties preferring a narrative format. Given the inherent subjectivity of narrative LORs, the current study sought to determine whether the intended messages of narrative LORs written for applicants to anesthesiology residency programs are accurately interpreted by readers. Methodology Anonymous online surveys were sent via the Qualtrics platform to program directors (PDs) of the Accreditation Council for Graduate Medical Education-accredited anesthesiology residency programs in the Mid-Atlantic region as designated by the Electronic Residency Application Service, which consists of the states of New York, Pennsylvania, and New Jersey. Each PD participant received five surveys, each of which was attached to a de-identified LOR that was written by another PD located at an institution in the same region. Both the letter writer and study participants were asked to score LORs on a Likert-like scale. Participants were additionally asked whether the LORs, if received, would influence their decision to either offer an interview to the applicant or to rank the applicant. Finally, participants were asked to note any specific words or phrases within the LORs that they found to be particularly impactful. Results Overall, 10 of 34, 29.41%, PDs responded to the survey. There was a high correlation between the LOR intent and the respondents' assigned rating (Spearman's rho = 0.7973, p < 0.001). Responses were more accurate for "outstanding and excellent" LORs compared to the lower three categories. Results were unaffected after adjusting for respondents' years of experience as PDs. Additionally, 71.6% indicated that the LORs would influence the decision about offering an interview, and 56.5% stated that the LORs would influence a ranking decision. Conclusions Our results indicate that respondents' perception of LORs correlated strongly with the intent of the writer. Additionally, respondents seemed to value LORs for interview and ranking decisions.

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OBJECTIVE: Two-tiered preference signaling has been implemented in the radiology residency application system to reduce congestion in the setting of high-volume applications. Signals are an indicator of strong interest that an applicant can transmit to a limited number of programs. This study assessed the impact of program signaling on interview invitations, how applicants strategically used signals based on their application's competitiveness, and applicants' attitudes toward the current signaling system. METHODS: A survey was sent to radiology residency applicants registered with TheRadRoom during the 2024 application cycle. We queried the applicant's background, applications, signal distribution, and interview outcome depending on the type of signal sent. We also asked whether respondents received an interview invitation from a hypothetical "comparator non-signaled program" if they had one additional signal to use. Group differences were assessed using nonparametric Wilcoxon signed rank test. RESULTS: A total of 202 applicants completed the survey (28% response rate). Most applied to diagnostic radiology (81%). Nearly all respondents utilized all 6 gold (98%) and 6 silver (96.5%) signals. Interview invitation rates were significantly higher for signaled programs (59.8%±27.4%) than non-signaled (8.5%±8.5%); the invitation rate at the comparator non-signaled programs was 37%. Gold signaled programs had significantly higher interview rates (67.8%±29.3) than silver (51.8%±31.3%). Respondents used 49.2%(±21.7%) of their signals for "likely to match" programs, 33.1%(±20.9%) for "aspirational" programs, and 17.6%(±15.8%) for "safety" programs. Most respondents (146;76%) supported continuing the signaling system for future cycles. CONCLUSION: Signaling programs significantly enhanced interview invitation rates, with gold signals being more effective than silver. The applicants used about 6 total signals for "likely-to-match" programs, 2 for "aspirational" programs, and about 4 for "safety" programs.

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OBJECTIVE: The COVID-19 pandemic extensively changed the United States residency application process, including transitioning interviews from in-person to virtually. This study aims to determine the effect of a neurology residency programs' social media presence on applicants and to identify aspects of the program's social media profile influencing students' decisions to apply. METHODS: This is an observational cross-sectional study of neurology residency applicants utilizing a 10-question survey distributed from October 2022 to March 2023. 115/176 (65%) applicants participated. Statistical tests were performed using SPSS Statistics. Categorical variables were presented as percentages of the total group. Categorical Likert Scale responses were assigned numerical values from one to five and presented as means. RESULTS: Most participants (87.8%) used social media to learn about neurology residency programs. Most participants (52.5) used both Instagram and X (formerly Twitter). Prominent factors affecting program selection were the number of posts and format, layout, or aesthetics of the social media profile. The most influential posts pertained to program culture, with the least influential posts highlighting specific residents. Social media presence had a small-moderate effect on selecting programs for application, and a small effect on ranking programs. CONCLUSION: Overall, social media profiles have a small to moderate impact on the decision to apply to a specific neurology program, with less effect on the ranking process. These findings can assist residency programs in tailoring social media presence to better align with the preferences of applicants.

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CONTEXT: Orthopaedic surgery has become increasingly competitive over the years, with the COVID-19 pandemic creating additional challenges for applicants and programs. To promote an equitable match experience, the American Orthopaedic Association (AOA) introduced a formal preference signaling (PS) system into the 2022-2023 application cycle. PS allows applicants to indicate their heightened interest in specific programs, which improves the likelihood of receiving an interview and ultimately matching at their desired residency program. OBJECTIVES: The objective of this anonymous survey is to assess applicants' opinions and perspectives toward PS in orthopaedic surgery prior to the 2022-2023 match results. Additionally, we sought to evaluate the signaling strategies being utilized by applicants. METHODS: An anonymous 22-question survey was distributed to applicants of an orthopaedic surgery residency program (34.2 % response rate). Responses were collected after the application submission deadline but before the match lists and results were available. This survey included questions germane to demographics, signal utilization, signaling reasons and strategies, and opinions toward PS. Descriptive statistics were calculated utilizing R (version 4.2.1) and RStudio. RESULTS: Most respondents (96.1 %) participated in PS, and 96.7 % utilized all 30 signals. Signaling encouraged 24.2 % of applicants to apply to fewer programs. In accordance with guidelines, 83.2 % of respondents signaled each away rotation program; however, only 53 % signaled their home program. Applicants commonly signaled 1-10 "reach" and "safety" programs each. Proximity to Family and Perceived Operative Experience were the most important reasons for signaling, whereas Program Prestige was the least. A program's social presence and virtual interview option did not influence many applicants' decisions for signaling. Most applicants believe that the COVID-19 pandemic and pass/fail licensure examinations influenced PS adoption. Sixty-seven of 149 respondents (45 %) claimed that applicants and programs benefit equally from PS, while 41 % believe programs benefit more. Nearly half (40.94 %) knew very little or nothing about PS. CONCLUSIONS: During the inaugural introduction of PS in orthopaedic surgery, nearly every applicant utilized all 30 signals, prioritizing factors like family proximity and perceived operative experience over program prestige. This shift reflects the importance of geographic location and presumed training quality. Despite unfamiliarity toward PS, personalized signaling strategies were implemented, accompanied by a slight decrease in application volumes. The 30 allotted signals in orthopaedic surgery may serve as an informal application cap due to the necessity of signaling a program for an interview invite. However, improved educational efforts are needed to enhance the understanding and maximize the benefits of PS for both applicants and programs.

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Faculty career advisors who guide applicants applying to obstetrics and gynecology residency programs need updated information and resources, given the constant changes and challenges to the residency application process. Initial changes included standardization of the application timeline and interview processes. More recent changes included the utilization of a standardized letter of evaluation, initiation of program signaling, second look visit guidelines, and updated sections in the Electronic Residency Application Service. Challenges in advising include the unmatched applicant and the applicant who is couples matching in the era of program signaling. Additional considerations include applying with the current status of reproductive health law restrictions and preparing for a new residency application platform. The Undergraduate Medical Education Committee of the Association of Professors of Gynecology and Obstetrics provides this updated guide of the prior 2021 resource for advisors to increase confidence in advising students, boost professional fulfillment with advising activities, and aid in satisfaction with advising resources. This guide covers the continuing challenges and future opportunities in the resident application process.

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PURPOSE: To determine the characteristics of current US Otolaryngology-Head and Neck Surgery (Oto-HNS) residents and their medical school. METHODS: Data were manually collected between Dec 2022 and Jan 2023 for 1649 residents attending 163 US-based ACGME accredited Oto-HNS residency programs, reflecting the 2018-2022 cohort. All data were collected from publicly available sources including residency and medical school program websites, web of science, and professional networking sites (ex: LinkedIn, Doximity). Data were analyzed to determine the "feeder" schools which contributed the greatest number and percent of residents. Using univariable linear regression models, we characterized factors which were associated with feeder school status. RESULTS: Of 1649 residents analyzed, 364 (22 %) matched to their home program and 918 (56 %) stayed in the region of their medical school. The median [IQR] number of published papers and abstracts was 5 [3, 9] with an h-index of 2 [1,4]. Factors associated with producing a greater percent of Oto-HNS residents include presence of an interest group, presence of a home program, USNWR research rank of the medical school, Doximity reputation rank of the home residency program, average pre-residency h-index of the school's graduates, and total NIH research funding (each p < 0.001). CONCLUSIONS: In the changing landscape of residency applications after the USMLE Step 1 exam's transition in January 2022 to pass/fail scoring, it is important to objectively characterize current Oto-HNS residents. Findings from this study will inform prospective residents and residency programs seeking to improve access to Oto-HNS. Future small-scale studies may help further identify driving factors within medical school curricula.

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OBJECTIVE: We aimed to investigate trends in residency program application and acceptance rates according to sex and race and ethnicity. METHODS: We collected data from the Journal of the American Medical Association Graduation Medical Education Reports. We extracted the data for 25 residency programs in the United States from 2005 to 2021 and conducted statistical analyses. RESULTS: Men were most matched for orthopedics (84.7%, 95% confidence interval [CI] 84.2%-85.1%), and women for oncology (78.7%, 95% CI 78.2%-79.2%). The most matched program was orthopedics for the White subgroup (43.5%, 95% CI 43.2%-43.9%), radiology for the Black subgroup (20%, 95% CI 18.9%-20.9%), general surgery for the Hispanic subgroup (11%, 95% CI 10.7%-11.2%), and internal medicine for the Asian subgroup (35.3%, 95% CI 34.9%-35.6%). CONCLUSION: Match rates for women were lower than those for men in all programs except psychiatry, pediatrics, obstetrics and gynecology, and dermatology. Match rates were significantly lower for Black, Hispanic, and Asian subgroups than the White subgroup in all programs except for internal medicine, with the Asian subgroup being higher. We observed a significant increase in both application and acceptance rates for women and racial and ethnic minorities over the past 40 years.

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OBJECTIVE: Advances in artificial intelligence (AI) have given rise to sophisticated algorithms capable of generating human-like text. The goal of this study was to evaluate the ability of human reviewers to reliably differentiate personal statements (PS) written by human authors from those generated by AI software. SETTING: Four personal statements from the archives of two surgical program directors were de-identified and used as the human samples. Two AI platforms were used to generate nine additional PS. PARTICIPANTS: Four surgeons from the residency selection committees of two surgical residency programs of a large multihospital system served as blinded reviewers. AI was also asked to evaluate each PS sample for authorship. DESIGN: Sensitivity, specificity and accuracy of the reviewers in identifying the PS author were calculated. Kappa statistic for correlation between the hypothesized author and the true author were calculated. Inter-rater reliability was calculated using the kappa statistic with Light's modification given more than two reviewers in a fully-crossed design. Logistic regression was performed with to model the impact of perceived creativity, writing quality, and authorship or the likelihood of offering an interview. RESULTS: Human reviewer sensitivity for identifying an AI-generated PS was 0.87 with specificity of 0.37 and overall accuracy of 0.55. The level of agreement by kappa statistic of the reviewer estimate of authorship and the true authorship was 0.19 (slight agreement). The reviewers themselves had an inter-rater reliability of 0.067 (poor), with only complete agreement (four out of four reviewers) on two PS, both authored by humans. The odds ratio of offering an interview (compared to a composite of "backup" status or no interview) to a perceived human author was 7 times that of a perceived AI author (95% confidence interval 1.5276 to 32.0758, p=0.0144). AI hypothesized human authorship for twelve of the PS, with the last one "unsure." CONCLUSIONS: The increasing pervasiveness of AI will have far-reaching effects including on the resident application and recruitment process. Identifying AI-generated personal statements is exceedingly difficult. With the decreasing availability of objective data to assess applicants, a review and potential restructuring of the approach to resident recruitment may be warranted.

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INTRODUCTION: The United States Medical Licensing Examination (USMLE) Step 1 test evolved into a key metric utilized by program directors (PDs) in assessing candidates for residency. The transition to a USMLE Step 1 binary pass/fail scoring system has resulted in a loss of an important objective assessment. With national movements toward pass/fail systems for clerkship grading and trends toward abandonment of class ranking, assessing residency applications has become increasingly challenging. METHODS: The Society of Academic Urologists convened a task force to, in part, assess the perspectives of urology PDs regarding the importance of various aspects of a residency application for predicting clinical performance. An anonymous survey was disseminated to all urology PDs in the US. Perspectives on 11 potential application predictors of clinical performance and demographics were recorded. Descriptive statistics characterized PD responses. Friedman test and pairwise Wilcoxon tests were used to evaluate the relative ranks assigned to application elements by PDs. RESULTS: There was a 60.5% response rate (89/147). Letters of recommendation (LORs) were ranked as the most important predictor, with a mean rank of 2.39, median of 2 (IQR 1-3). Clerkship grades and USMLE Step 1 were comparable and ranked second. Medical school reputation ranked the lowest. There was significant subjective heterogeneity among categories; however, this was less so for LORs, which predominated as the most important factor among application elements (P < .001). CONCLUSIONS: To our knowledge, this is the largest sample size assessing PD perspectives on application factors that predict clinical performance. The second (clerkship grades) and third (USLME Step 1) most important factors moving toward binary pass/fail systems create an opportunity for actionable change to improve assessment objectivity. Our data demonstrate LORs to be the most important factor of residency applications, making a compelling argument for moving toward a standardized LOR to maximize this tool, mitigate bias, and improve interreviewer reliability.

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OBJECTIVE: There are few published accounts of the obstetrics and gynecology (OBGYN) specialty-specific experience with a formal signaling program. Prior studies examining other medical specialties' experiences with signaling are quantitative, having not examined the complexity of the residency applicant experience by directly engaging applicants; therefore, this study aimed to describe the lived experiences of OBGYN residency applicants who employed a formal signaling program during the 2022-2023 residency application cycle to assist and guide future residency applicants. DESIGN: A phenomenological approach was chosen to prescribe a common meaning for OBGYN residency applicants' experiences. purposeful sampling was employed to ensure racial, ethnic, and institutional geographic diversity in participant representation. Semi-structured interviews were conducted virtually between April and May 2023. RESULTS: Twenty-five OBGYN residency applicants participated. Fourteen identified as underrepresented in medicine. Four themes emerged: non-uniform decision-making processes, inconsistent guidance, mental health effect, and signaling reflections. Some themes had associated subthemes. Critical aspects of the applicants' journey were revealed, including decision-making dynamics and reliance on trusted advisors. Applicants described tensions and complexities when navigating signaling strategy in relation to abortion education opportunities in a post-Dobbs era. They also conveyed concerns about inconsistencies in signaling guidance, the emotional toll on well-being, and persistent inequities in the application process. They ultimately made recommendations for future directions, including suggestions for more robust advising and improved signaling execution. CONCLUSIONS: This study offers a comprehensive exploration of the experiences of OBGYN residency applicants with formal program signaling. To ensure equity and transparency in the residency application process, it is crucial to not only provide OBGYN residency applicants with clear guidance on signaling, but also encourage a standardized approach for its utilization by residency programs.

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INTRODUCTION: Preference signaling (program signals and geographic preference divisions) was introduced as a component of the supplemental application for internal medicine applicants applying to programs within the United States (USA) during the 2021-22 cycle. These signals were intended to address application inflation by allowing applicants to express interest in and increase their likelihood of receiving interviews from their top programs. There is little published data, however, to describe the impact of preference signaling on the likelihood of receiving interviews from a program. This study thus sought to analyze, in a small subset of US applicants, whether preference signals were associated with a higher likelihood of obtaining a residency interview. METHODS: A survey was distributed in March 2023 to US MD seniors from the four allopathic medical schools in North Carolina who applied to categorical internal medicine residency programs during the 2022-23 application cycle. The survey was developed by the research team to provide respondents with the opportunity to report data from the electronic residency application service (ERAS) application and provide data on interviews received, actions taken throughout the application season, and outcomes of the National Residency Match Program (NRMP) using a combination of free response and multiple choice questions. RESULTS: Forty-seven out of a total of 85 contacted (55%) applicants completed some or all of the survey. Of those who completed the entirety of the survey, 39 (82.98%) completed the supplemental portion of the application and the available preference signaling. Applicants in this study were 2.95 (Odds ratio, 95% confidence interval [CI] 2.20 - 3.97, p<0.01) times as likely to receive an interview invitation from a program if they used a program signal. Applicants were 1.75 (odds ratio, 95% CI 1.38 - 2.21, p<0.01) times as likely to receive an interview invitation from a program in an indicated geographic preference division. Forty-seven percent (95% CI 31 - 64%) matched to a program they had sent a program signal to, and 97% (95% CI 78 - 100%) matched to a program in an indicated geographic preference division. CONCLUSIONS: The program signals and geographic preference division components of the supplemental application increased the likelihood of receiving an interview invitation but did not have a clear impact on match outcomes. Further research with larger sample sizes will be necessary to determine how these signals actually modify the outcomes of the NRMP.

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OBJECTIVE: The present study examines trends of percent of applicants, number of specialties, and specialty combinations for psychiatry residency applicants applying to multiple specialties (parallel application). METHODS: The authors conducted a retrospective analysis of data captured by the Association of American Medical Colleges Electronic Residency Application System for applicants to psychiatry residency between 2009 and 2021. The percent parallel-applying, the mean number of specialties, mean application counts, and frequency of specialty combinations with psychiatry residency were determined. RESULTS: The dataset described 67,261 applicants. The percentage parallel-applying decreased from 73.7% in 2009 to 60.0% in 2021. International Medical Graduates and U.S. International Medical Graduate parallel-applied at the greatest rate in each year. Applicants who were parallel-applying submitted larger numbers of applications compared to those who were single-specialty applying. CONCLUSIONS: Parallel application to psychiatry residency appears to be a common practice, but has decreased in frequency. However, the mean numbers of applications submitted to each specialty in parallel application combination and among single-specialty applicants have increased. This practice appears to have a disproportionate impact on international and osteopathic applicants. Additional efforts are needed to develop evidence-based advising tools to reduce the number of residency applications submitted to psychiatry programs.

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OBJECTIVE: The objective of this study is to analyze a high-signal approach for otolaryngology-head and neck surgery (OHNS) residency applicants and calculate cost savings for programs and applicants. METHODS: Data from both the 2022-2024 Electronic Residency Application Service (ERAS) and a data model were used to demonstrate cost savings with a high-signal approach. Modeled data assumed that the number of applications per applicant would be equal to the number of signals allowed. Predicted and real-world cost savings across the five other specialties participating in a high-signal approach were calculated. RESULTS: ERAS data cost savings for the entire OHNS applicant pool amounted to $365,950. In the modeled data, cost savings amounted to $825,921. When extrapolated to include all five high-signal specialties, total cost savings amounted to $2,570,464 (ERAS data) and $6,359,478 (modeled data). Otolaryngology programs were predicted to experience significant time savings, resulting in cost savings of $437,883 and $1,113,342 for ERAS data and modeled data, respectively. CONCLUSIONS: The study highlights the advantages of a high-signal approach, including financial advantages or increased time for programs to engage in holistic review and diversify the pool of interview candidates. Cost savings in this study were shown to be significant when extrapolated across all specialties using a high-signal approach. Further research is needed to optimize the signaling system and confirm the favorable interview distribution and equity data from the low-signal OHNS experience with a high-signal approach. LEVEL OF EVIDENCE: N/A Laryngoscope, 134:2684-2688, 2024.

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OBJECTIVE: To assess whether the geographic region where medical students complete an away rotation predicts the same site, region-specific, or overall interview offers and match success in otolaryngology. STUDY DESIGN: Cross-sectional. SETTING: US medical schools. METHODS: We queried the Texas Seeking Transparency in Application to Residency database to analyze outcomes of otolaryngology applicants during the 2018 to 2020 and 2022 match cycles. Outcomes included a number of interviews offered, geographic location of interviews, and match results, including region-specific and overall match success rate. RESULTS: Of 455 otolaryngology applicants, 402 (90.3%) completed an away rotation. Among these, 368 (91.8%) were offered an interview and 124 (30.9%) matched to the program where they completed an away rotation. Applicants who completed away rotations outside their home region received more interview offers from that region than those who did not (Northeast: 4.2 vs 2.9; South: 4.3 vs 3.0; Central: 4.8 vs 3.0; West: 3.8 vs 1.6, P < .01 for all). Completing a remote away rotation increased the odds of receiving an interview from and matching within that region. After excluding programs where an away rotation was completed, a remote away rotation increased the odds of receiving an interview in the central and western regions (Central: odds ratio [OR]: 1.2 [1.1, 1.5]); West OR: 1.9 [1.7, 2.2]; and the odds of matching in the western region (OR: 2.9 [1.2, 7.4], all P < .01). CONCLUSION: Away rotations are associated with increased odds of interviewing and matching at that away program, with possible associations across the region, most evident for the West coast.

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BACKGROUND: Clerkship grades in obstetrics and gynecology play an increasingly important role in the competitive application process to residency programs. An analysis of clerkship grading practices has not been queried in the past 2 decades in our specialty. OBJECTIVE: This study aimed to investigate obstetrics and gynecology clerkship directors' practices and perspectives in grading. STUDY DESIGN: A 12-item electronic survey was developed and distributed to clerkship directors with active memberships in the Association of Professors of Gynecology and Obstetrics. RESULTS: A total of 174 of 236 clerkship directors responded to the survey (a response rate of 73.7%). Respondents reported various grading systems with the fewest (20/173 [11.6%]) using a 2-tiered or pass or fail system and the most (72/173 [41.6%]) using a 4-tiered system. Nearly one-third of clerkship directors (57/163 [35.0%]) used a National Board of Medical Examiners subject examination score threshold to achieve the highest grade. Approximately 45 of 151 clerkship directors (30.0%) had grading committees. Exactly half of the clerkship directors (87/174 [50.0%]) reported requiring unconscious bias training for faculty who assess students. In addition, some responded that students from groups underrepresented in medicine (50/173 [28.9%]) and introverted students (105/173 [60.7%]) received lower evaluations. Finally, 65 of 173 clerkship directors (37.6%) agreed that grades should be pass or fail. CONCLUSION: Considerable heterogeneity exists in obstetrics and gynecology clerkship directors' practices and perspectives in grading. Strategies to mitigate inequities and improve the reliability of grading include the elimination of a subject examination score threshold to achieve the highest grade and the implementation of both unconscious bias training and grading committees.

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BACKGROUND: With the residency selection process becoming more competitive and programs receiving unprecedented numbers of applications, some specialties have introduced preference signaling in an attempt to help applicants target programs of interest. In the 2022-2023 application cycle, obstetrics and gynecology also introduced a 2-tiered system with a limited number of gold signals (n=3) and silver signals (n=15). OBJECTIVE: Given the novelty of preference signaling in the obstetrics and gynecology residency application process, this study aimed to (1) assess the effect of signals on interview offers and match and (2) discuss applicant attitudes toward this preference signaling system. STUDY DESIGN: This was a voluntary cross-sectional survey study conducted in April 2023 that was open to all fourth-year medical students who applied to an obstetrics and gynecology residency in the United States. Self-reported demographics, signaling, interview, and match data were collected. In addition, students were asked about attitudes toward signaling on a 5-point Likert scale. RESULTS: Of the 1507 applicants who entered an obstetrics and gynecology residency via match or Supplemental Offer and Acceptance Program process, 969 (64.3%) completed the survey. Moreover, an additional 22 applicants who did not match responded to the survey. More respondents used all 3 gold tokens (98.3%) and all 15 silver tokens (94.3%). The mean number of applications sent was 74.3±35.1, and the mean number of interviews received per applicant was 12.8±6.6. The interviews or token yields were 64.0%±31.5% for gold tokens, 43.8%±23.1% for silver tokens, and 9.8%±10.0% for no token. Of the survey respondents, 340/951 (35.8%) matched to a gold token program, 338/951 (35.5%) matched to a silver token program, and 244/951 (25.7%) matched to a nontoken program. Furthermore, 499/951 applicants (52.5%) reported feeling slightly positive or very positive about signaling. CONCLUSION: Most obstetrics and gynecology applicants in this survey participated in preference signaling. Gold and silver tokens were associated with high ratios of interview invitations compared with no token. However, the overall number of applications did not decrease in the 2022-2023 cycle, and only half of survey respondents reported feeling positive about the signaling process. These results can inform program directors and students about application number and strategy in upcoming cycles.

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