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1.
Clin Exp Emerg Med ; 2024 Sep 06.
Article in English | MEDLINE | ID: mdl-39237138

ABSTRACT

Objective: Emergency medicine (EM) physicians face high burnout rates, even in academic settings. Research on burnout among EM residency program leaders is limited, despite their role in shaping the training environment and influencing resident well-being. This study aims to measure burnout and professional fulfillment among EM residency program leaders and identify contributing factors. Methods: A cross-sectional survey using the adapted Stanford Professional Fulfillment Index (SPFI) was conducted in 2023 to assess burnout and professional fulfillment among EM residency program leaders at US programs. The survey, tailored to EM leaders, was distributed to all current EM Program Directors (PDs) and Assistant or Associate Program Directors (APDs) from accredited US programs. Descriptive statistics and odds ratios were used to compare burnout and professional fulfillment across various groups. Results: A total of 112 of 281 PDs (39.9% response rate) and 130 of 577 APDs (22.5% response rate) participated. Professional fulfillment was reported by 59.8% of PDs and 58.5% of APDs. Burnout was experienced by 42.0% of PDs and 26.9% of APDs. Higher professional fulfillment correlated with alignment with expectations, positive work environments, and perceived appreciation, while burnout was strongly associated with negative impacts on personal health and relationships. About 27.7% of PDs and 23.8% of APDs expressed intentions to leave their current positions within 18 months. Conclusion: A significant portion of US EM residency program leaders experience burnout and low professional fulfillment. Addressing well-being in this population has important implications for education and mentorship provided to future physicians in the field.

2.
AEM Educ Train ; 8(5): e11025, 2024 Oct.
Article in English | MEDLINE | ID: mdl-39324033

ABSTRACT

Background: Increasing diversity in the health care workforce has been shown to improve patient health care and create psychological safety for employees who feel marginalized and underrepresented. While several measures exist for increasing racial and ethnic diversity in the physician workforce, few programs target expanding representation among physician assistants (PAs). Despite increasing the role and responsibility of PAs in the emergency department (ED), there remains a significant lack of diversity within this group. The SPARK mentorship program, a combined mentorship and educational opportunity for emergency services assistants (ESAs; also called aides and technicians) who are underrepresented in medicine (UiM), may create a pathway to recruiting diverse individuals to PA careers in emergency medicine. Methods: Our goal was to implement and evaluate a combined didactic and mentorship curriculum focused on recruiting ESAs UIM to become PAs in the ED. Using Kern's framework, an interprofessional group created a 3-month mentorship program including individualized mentorship from senior PAs, didactic content covering the roles of PAs in the ED, and strategies to apply to PA school. This curriculum was implemented in 2022 for five ESAs following an application process. Outcomes were measured using the NIH Mentoring Evaluation Form and Munich Evaluation of Mentoring Questionnaire as well as longitudinal monitoring after the program to determine progress of ESAs toward a career as PAs. Results: All five mentees completed the mentorship program. Postprogram surveys showed all participants described the program as meeting their expectations and being goal oriented. One-year follow-up demonstrated progress in all participants along their desired career path. Conclusions: The SPARK mentorship program appears to be a feasible approach to creating a pathway for recruitment of ESAs UIM into the PA profession. Preliminary outcome data suggest that this curriculum was highly acceptable to participants and may have a positive impact on recruiting ESAs to become PAs. Continued evaluation is needed to determine what effect programs such as this one have on increasing diversity in the PA workforce.

3.
Acad Med ; 2024 Oct 01.
Article in English | MEDLINE | ID: mdl-39348144

ABSTRACT

PURPOSE: To avoid overreliance on metrics and better identify candidates who add value to the learning environment, some medical schools and residency programs have begun using holistic review for screening and selection, but limited data support or refute this use. This scoping review examines holistic review definitions and practice in medical education, summarizes research findings, and identifies gaps for future research. METHOD: The authors searched 7 databases using the keywords holistic, attributes, mission-based, mission-centric , and socially accountable for articles on holistic review within undergraduate medical education (UME) and graduate medical education (GME) published from database inception through July 5, 2024. Author pairs independently screened articles for inclusion and extracted data. Discrepancies were resolved via discussion. Quantitative and qualitative synthesis was performed. RESULTS: A total of 6,511 articles were identified, with 33 included in this review. Twenty-five studies (76%) focused exclusively on GME, with only a few assessing holistic review in UME. Holistic review was implemented at 3 main stages: screening, interviewing, and ranking. Common rationales included service patterns, patient-physician identity concordance, enhancing patient trust, professional advocacy, and educational benefits. Holistic review elements varied, with most falling within the Association of American Medical Colleges experiences, attributes, and metrics framework. Nearly all studies reported an increase in the percentage of underrepresented in medicine trainees interviewed or selected. Several studies also demonstrated increases in other groups (e.g., women, lower socioeconomic status). Many studies included additional interventions to promote diversity, limiting the ability to assess holistic review in isolation. CONCLUSIONS: This scoping review summarizes the literature on rationale, development and implementation process, structure and components, outcomes assessed, barriers, and strategies for success for holistic review. This work can inform institutions and departments seeking to develop or refine their own holistic review systems and serve as a nidus for future research.

5.
AEM Educ Train ; 8(4): e11013, 2024 Aug.
Article in English | MEDLINE | ID: mdl-39139517

ABSTRACT

Background: The emergency medicine (EM) landscape has evolved due to the increasing number of programs paired with fewer applicants. This study analyzed the characteristics of EM residency programs associated with unfilled positions during the 2024 Match and compared them with data from the 2023 Match to identify persistent and emerging trends influencing these outcomes. Methods: In this cross-sectional, observational study, we investigated factors associated with unfilled EM residency positions in the 2024 Match. We used publicly accessible data from the National Resident Matching Program. To identify program-level predictors of unfilled positions, we constructed a Bayesian hierarchical logistic regression model, incorporating data from the 2023 Match season. Results: In 2024, 54 out of 281 (19.2%) residency programs remained unfilled. Our Bayesian analysis reaffirmed that smaller program size, geographical location, prior osteopathic accreditation, and corporate ownership continue to be significant factors. Programs with vacancies in the previous year were also more likely to remain unfilled. Thus, several factors identified in 2023 remained associated with this year's Match outcomes, with the impact of previous unfilled positions being particularly pronounced. Conclusions: This study identified several factors associated with a greater likelihood of having unfilled EM residency positions, with previous unfilled positions emerging as the most significant predictor. These findings offer critical insights for residency programs and governing bodies, providing a basis for enhancing recruitment strategies, addressing the cyclical nature of unfilled positions, and tackling workforce challenges in EM.

6.
Acad Med ; 99(9): 942-945, 2024 Sep 01.
Article in English | MEDLINE | ID: mdl-38781284

ABSTRACT

ABSTRACT: Letters of reference (LORs) are a common component of the application process for residency training programs. With the United States Medical Licensing Examination Step 1 transitioning to pass/fail grading and with the increasing use of holistic review, the potential role of LORs is rising in importance. Among some key benefits are the ability to provide a broader and more holistic view of applicants, which can include highlighting elements of experiences or skills that could be missed in their application, as well as providing a third-party assessment of the applicant external to their rotation experiences. However, LORs also face issues, including variation in quality, challenges with comparability, and risk of bias. In this article, the authors discuss the unique benefits, limitations, and best practice recommendations for LORs in academic medicine. The authors also discuss future directions, including the role of artificial intelligence, unblinded, and co-created LORs.


Subject(s)
Internship and Residency , Humans , Internship and Residency/standards , United States , Correspondence as Topic , School Admission Criteria , Licensure, Medical/standards , Educational Measurement/methods , Educational Measurement/standards
9.
AEM Educ Train ; 7(6)2023 Dec.
Article in English | MEDLINE | ID: mdl-38046089

ABSTRACT

Objectives: Letters of recommendation (LORs) are essential within academic medicine, affecting a number of important decisions regarding advancement, yet these letters take significant amounts of time and labor to prepare. The use of generative artificial intelligence (AI) tools, such as ChatGPT, are gaining popularity for a variety of academic writing tasks and offer an innovative solution to relieve the burden of letter writing. It is yet to be determined if ChatGPT could aid in crafting LORs, particularly in high-stakes contexts like faculty promotion. To determine the feasibility of this process and whether there is a significant difference between AI and human-authored letters, we conducted a study aimed at determining whether academic physicians can distinguish between the two. Methods: A quasi-experimental study was conducted using a single-blind design. Academic physicians with experience in reviewing LORs were presented with LORs for promotion to associate professor, written by either humans or AI. Participants reviewed LORs and identified the authorship. Statistical analysis was performed to determine accuracy in distinguishing between human and AI-authored LORs. Additionally, the perceived quality and persuasiveness of the LORs were compared based on suspected and actual authorship. Results: A total of 32 participants completed letter review. The mean accuracy of distinguishing between human- versus AI-authored LORs was 59.4%. The reviewer's certainty and time spent deliberating did not significantly impact accuracy. LORs suspected to be human-authored were rated more favorably in terms of quality and persuasiveness. A difference in gender-biased language was observed in our letters: human-authored letters contained significantly more female-associated words, while the majority of AI-authored letters tended to use more male-associated words. Conclusions: Participants were unable to reliably differentiate between human- and AI-authored LORs for promotion. AI may be able to generate LORs and relieve the burden of letter writing for academicians. New strategies, policies, and guidelines are needed to balance the benefits of AI while preserving integrity and fairness in academic promotion decisions.

12.
West J Emerg Med ; 24(4): 662-667, 2023 Jul 12.
Article in English | MEDLINE | ID: mdl-37527394

ABSTRACT

INTRODUCTION: Trainees underrepresented in medicine (URiM) face additional challenges seeking community in predominantly white academic spaces, as they juggle the effects of institutional, interpersonal, and internalized racism while undergoing medical training. To offer support and a space to share these unique experiences, mentorship for URiM trainees is essential. However, URiM trainees have limited access to mentorship from URiM faculty. To address this gap, we developed a national virtual mentoring program that paired URiM trainees interested in emergency medicine (EM) with experienced mentors. METHODS: We describe the implementation of a virtual Diversity Mentoring Initiative (DMI) geared toward supporting URiM trainees interested in EM. The program development involved 1) partnering of national EM organizations to obtain funding; (2) identifying a comprehensive platform to facilitate participant communication, artificial intelligence-enabled matching, and ongoing data collection; 3) focusing on targeted recruitment of URiM trainees; and (4) fostering regular leadership meeting cadence to customize the platform and optimize the mentorship experience. CONCLUSION: We found that by using a virtual platform, the DMI enhanced the efficiency of mentor-mentee pairing, tailored matches based on participants' interests and the bandwidth of mentors, and successfully established cross-institutional connections to support the mentorship needs of URiM trainees.


Subject(s)
Emergency Medicine , Mentoring , Humans , Mentors , Artificial Intelligence , Surveys and Questionnaires
14.
16.
West J Emerg Med ; 23(4): 514-524, 2022 Jul 01.
Article in English | MEDLINE | ID: mdl-35980420

ABSTRACT

Improving the diversity and representation in the medical workforce requires intentional and deliberate efforts to improve the pipeline and pathway for underrepresented in medicine (UIM) applicants. Diversity enhances educational experiences and improves patient care and outcomes. Through a critical review of the literature, in this article we offer evidence-based guidelines for physician pipeline and pathway programs (PP). Recommendations are provided regarding considerations on the types of programs and surrounding implementation to ensure a sound infrastructure and framework. We believe this guide will be valuable for all leaders and faculty members seeking to grow the UIM applicant pool in our efforts to advance diversity, equity, and inclusion within medicine.


Subject(s)
Emergency Medicine , Internship and Residency , Physicians , Emergency Medicine/education , Humans
17.
West J Emerg Med ; 23(3): 345-352, 2022 May 10.
Article in English | MEDLINE | ID: mdl-35679505

ABSTRACT

Advancement of diversity, equity, and inclusion (DEI) in emergency medicine can only occur with intentional recruitment of residency applicants underrepresented in medicine (UIM). Shared experiences from undergraduate and graduate medical education highlight considerations and practices that can contribute to improved diversity in the resident pool, such as holistic review and mitigating bias in the recruitment process. This review, written by members of the Council of Residency Directors in Emergency Medicine (CORD) Best Practices Subcommittee, offers best practice recommendations for the recruitment of UIM applicants. Recommendations address pre-interview readiness, interview approach, and post-interview strategies that residency leadership may use to implement holistic review and mitigate bias for recruitment of a diverse class.


Subject(s)
Emergency Medicine , Internship and Residency , Education, Medical, Graduate , Emergency Medicine/education , Humans
18.
Science ; 376(6597): 1130, 2022 06 03.
Article in English | MEDLINE | ID: mdl-35653480
19.
JMIR Form Res ; 6(3): e28353, 2022 Mar 22.
Article in English | MEDLINE | ID: mdl-35315781

ABSTRACT

BACKGROUND: Shift work is associated with sleep disorders, which impair alertness and increase risk of chronic physical and mental health disease. In health care workers, shift work and its associated sleep loss decrease provider wellness and can compromise patient care. Pharmacological sleep aids or substances such as alcohol are often used to improve sleep with variable effects on health and well-being. OBJECTIVE: We tested whether use of noise-masking earbuds can improve reported sleep quality, sleepiness, and stress level in health care shift workers, and increase alertness and reaction time post night shift. METHODS: Emergency medicine resident physicians were recruited for a prospective, single-subject design study. Entrance surveys on current sleep habits were completed. For 14 days, participants completed daily surveys reporting sleep aid use and self-rated perceived sleepiness, tension level, and last nights' sleep quality using an 8-point Likert scale. After overnight shifts, 3-minute psychomotor vigilance tests (PVT) measuring reaction time were completed. At the end of 14 days, participants were provided noise-masking earbuds, which they used in addition to their baseline sleep regimens as they were needed for sleep for the remainder of the study period. Daily sleep surveys, post-overnight shift PVT, and earbud use data were collected for an additional 14 days. A linear mixed effects regression model was used to assess changes in the pre- and postintervention outcomes with participants serving as their own controls. RESULTS: In total, 36 residents were recruited, of whom 26 participants who completed daily sleep surveys and used earbuds at least once during the study period were included in the final analysis. The median number of days of earbud use was 5 (IQR 2-9) days of the available 14 days. On days when residents reported earbud use, previous nights' sleep quality increased by 0.5 points (P<.001, 95% CI 0.23-0.80), daily sleepiness decreased by 0.6 points (P<.001, 95% CI -0.90 to -0.34), and total daily tension decreased by 0.6 points (P<.001, 95% CI -0.81 to -0.32). These effects were more pronounced in participants who reported worse-than-average preintervention sleep scores. CONCLUSIONS: Nonpharmacological noise-masking interventions such as earbuds may improve daily sleepiness, tension, and perceived sleep quality in health care shift workers. Larger-scale studies are needed to determine this interventions' effect on other populations of shift workers' post-night shift alertness, users' long-term physical and mental health, and patient outcomes.

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