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1.
Am Surg ; 90(11): 2675-2678, 2024 Nov.
Article in English | MEDLINE | ID: mdl-38631332

ABSTRACT

BACKGROUND: Underrepresented minority groups (URMs) in surgery are not significantly increasing despite evidence suggesting that diversity in health care providers leads to excellent patient outcomes and care. Efforts to increase URM representation in surgical residency programs are essential for addressing disparities and improving health care delivery. METHODS: This retrospective study outlines a three-phase strategy implemented at a large academic-affiliated hospital to increase URM representation in its general surgery residency program. The strategy encompassed interview selection with a holistic review and implicit bias training for interviewers, modification of the interview scoring rubric, and post-interview recruitment efforts, including a virtual second look event for URM applicants. RESULTS: Following the implementation of these strategies, the URM match rate improved from 0 to 33.3% in the first year and was sustained at 33.3% in the subsequent year. Consequently, the representation of URMs in the residency program rose from 6.7% before our intervention to 13.3% afterwards. DISCUSSION: This structured approach successfully increased URM representation in a surgical residency program, affirming the success of targeted recruitment strategies. By promoting a diverse and inclusive environment, the program better reflects the community it serves, with aims at improved patient care and patient satisfaction.


Subject(s)
General Surgery , Internship and Residency , Minority Groups , Minority Groups/statistics & numerical data , Humans , General Surgery/education , Retrospective Studies , Personnel Selection , Male , Female
2.
Fam Med ; 56(6): 381-386, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38652846

ABSTRACT

BACKGROUND AND OBJECTIVES: Although signals have been used in the residency application process by other specialties, family medicine residency directors have not previously participated. With applicant signal information available for the first time in the 2023-2024 application cycle, the current study describes family medicine residency program directors' intended use of signals and provides benchmarking descriptive data that may help inform best practices and future studies. METHODS: A total of 691 of the 745 family medicine program directors in US family medicine residency programs accredited by the Accreditation Council for Graduate Medical Education were surveyed. We used ꭓ2 and Pearson correlation analyses to examine how program directors of family medicine residency programs intended to use signaling and their perceived impact of signaling on the residency interviewing process. RESULTS: Most program directors indicated that applicant signals would assist them in deciding who to invite for an interview and would be a positive factor in a holistic review process. However, program directors also noted that rotation experience or geographic ties would be more powerful inducements to interview or rank a specific candidate. Program directors did not indicate a belief that signals would decrease interview season stress or workload. CONCLUSIONS: Signals may play an important role in the residency application process for family medicine in 2023-2024. While signals are not anticipated to decrease application workload or stress, a signal may be an important mechanism for a specific applicant to distinguish themselves with a program.


Subject(s)
Family Practice , Internship and Residency , Interviews as Topic , Humans , Family Practice/education , Surveys and Questionnaires , Education, Medical, Graduate , Personnel Selection/methods , United States
3.
Fam Med ; 56(6): 367-372, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38652848

ABSTRACT

BACKGROUND AND OBJECTIVES: Interest in using holistic review for residency recruitment as a strategy to improve the diversity of the physician workforce has increased. However, no data are published on the prevalence of holistic review in the selection process for family medicine residency programs. We designed this study to assess programs' knowledge, skills, and attitudes; prevalence; barriers to implementation; and program characteristics associated with the use of holistic review. METHODS: Data for this study were elicited as part of a 2023 survey conducted by the Council of Academic Family Medicine Educational Research Alliance. The nationwide, web-based survey was sent to 739 family medicine residency program directors. RESULTS: A total of 309 program directors completed the holistic review portion of the survey. Programs that understood and agreed with holistic review used it more in their selection process. Holistic review was more common in programs with higher rates of residents, faculty, and patients that are underrepresented in medicine. Barriers to holistic review utilization were increased number of applicants, increased resources associated with holistic review, and lack of consensus on the holistic review approach. CONCLUSIONS: The holistic review process is an area of growing interest to diversify the physician workforce, especially among residencies caring for underresourced communities. Further discussions on the specific scoring rubrics of family medicine residency programs that use holistic review are needed and could help programs that are facing barriers. Widespread use of holistic review to diversify the physician workforce has the potential to improve patient care access and health.


Subject(s)
Family Practice , Internship and Residency , Family Practice/education , Internship and Residency/statistics & numerical data , Humans , Surveys and Questionnaires , Personnel Selection
4.
Urology ; 187: 25-30, 2024 May.
Article in English | MEDLINE | ID: mdl-38342381

ABSTRACT

OBJECTIVE: To determine how the use of United States Medical Licensing Examination (USMLE) score cutoffs during the screening process of the Urology Residency Match Program may affect recruitment of applicants who are underrepresented in medicine (URM). MATERIALS AND METHODS: Deidentified data from the Association of American Medical Colleges' (AAMC) Electronic Residency Application Service (ERAS) system was reviewed, representing all applicants to our institution's urology residency program from 2018 to 2022. We analyzed self-reported demographic variables including race/ethnicity, age, sex/gender, as well as USMLE Step 1 and Step 2 scores. Chi-square tests and ANOVA were used to determine the association between race/ethnicity and other sociodemographic factors and academic metrics. Applicants were stratified according to USMLE Step 1 cutoff scores and the distribution of applicants by race/ethnicity was assessed using a Gaussian nonlinear regression fit. RESULTS: A total of 1258 applicants submitted applications to our program during the 5-year period, including 872 males (69.3%) and 386 females (30.7%). Most applicants were White (43.5%), followed by Asian (28.3%), Hispanic/Latino (11.7%), and Black (7.0%). There was an association between race/ethnicity and USMLE scores. Median USMLE Step 1 scores for White, Asian, Hispanic/Latino, and Black applicants were 242, 242, 237, and 232, respectively (P < .001). As cutoff score increases, percentage of URM applicants decreases. CONCLUSION: The use of cutoffs based on USMLE scores disproportionately affects URM applicants. Transitioning from numeric scores to pass/fail may enhance holistic review processes and increase the representation of URM applicants offered interviews at urology residency programs.


Subject(s)
Internship and Residency , Urology , Humans , Internship and Residency/statistics & numerical data , Urology/education , United States , Male , Female , Adult , Personnel Selection/statistics & numerical data , Personnel Selection/standards , Licensure, Medical/statistics & numerical data , Minority Groups/statistics & numerical data
5.
J Physician Assist Educ ; 35(1): 116-119, 2024 Mar 01.
Article in English | MEDLINE | ID: mdl-37878612

ABSTRACT

ABSTRACT: On Thursday, June 27, 2023, the US Supreme Court struck down race-conscious admission practices in higher education. While other demographic factors, such as the traditional Health Resources and Services Administration-disadvantaged background indicators, can be considered during the holistic admission process, explicit consideration based on race and/or ethnicity is prohibited. As a result, physician assistant/associate (PA) programs are tasked with developing novel ways to address equity, diversity, and inclusion during the admission and hiring processes. As Drumgold et al note, closing the PA workforce diversity gap is necessary to achieve health equity. Despite this, PA programs consistently struggle to attract and retain underrepresented in medicine (URiM) faculty, staff, and students. The latest PA Education Association Student Report indicates that more than 75% of applicants consider faculty and student body diversity when applying to programs. As such, addressing disparities in the recruitment, promotion, evaluation, and retention of URiM faculty is paramount. Here, the authors outline ongoing recruitment and retention challenges for URiM faculty along with institutional recommendations to ensure URiM PA faculty success and engagement.


Subject(s)
Health Equity , Physician Assistants , United States , Humans , Physician Assistants/education , Ethnicity , Faculty, Medical , Personnel Selection
6.
J Pediatr ; 265: 113843, 2024 Feb.
Article in English | MEDLINE | ID: mdl-37995931

ABSTRACT

OBJECTIVES: To describe linguistic differences in letters of recommendation (LORs) for pediatric fellowship candidates based on applicant and letter writer demographics and to examine if these differences influenced the decision to interview a candidate for a fellowship position. STUDY DESIGN: LORs for applicants to 8 pediatric subspecialty fellowships at a single academic center from the 2020 Match were analyzed in this cross-sectional study. Frequency of validated agentic and communal terms in each letter were determined by a language processing web application. Bias was determined as having a >5% surplus of agentic or communal terms. RESULTS: We analyzed 1521 LORs from 409 applicants: 69% were women, 28% were under-represented minorities in medicine (URM), and 50% were invited to interview. Overall, 66% of LORs were agentic biased, 16% communal biased, and 19% neutral. There was no difference in bias in LORs by an applicant's gender (woman 67% agentic vs man 62% agentic; P = .058), race, or ethnicity (non-URM 65% agentic vs URM 67% agentic; P = .660). Despite a lower frequency of agentic terms in LORs for applicants invited for interviews, when accounting for other components of an application and applicant demographics, no significant association was made between language bias in LORs and fellowship interview status. CONCLUSIONS: The frequency of agentic and communal terms in LORs for pediatric subspecialty fellowship candidates were not found to influence the decision to invite a candidate to interview. However, raising awareness of potential areas of bias within the pediatric fellowship selection process might lead to a more equitable and holistic approach to application review.


Subject(s)
Internship and Residency , Racism , Male , Humans , Female , Child , Fellowships and Scholarships , Cross-Sectional Studies , Language , Personnel Selection
7.
J Surg Educ ; 80(6): 776-785, 2023 06.
Article in English | MEDLINE | ID: mdl-37012141

ABSTRACT

OBJECTIVES: Residency applicant assessment is imperfect, with little objectivity built into the process, which, unfortunately, impacts recruitment diversity. Linear rank modeling (LRM) is an algorithm that standardizes applicant assessment to model expert judgment. Over the last 5 years, we have used LRM to assist with screening and ranking integrated plastic surgery (PRS) residency applicants. This study's primary objective was to determine if LRM scores are predictive of match success and, secondarily, to compare LRM scores between gender and self-identified race categories. DESIGN: Data was collected on applicant demographics, traditional application metrics, global intuition rank, and match success. LRM scores were calculated for screened and interviewed applicants, and scores were compared by demographic groups. Univariate logistic regression was used to evaluate the association of LRM scores and traditional application metrics with match success. SETTING: University of Wisconsin, Division of Plastic and Reconstructive Surgery. Academic institution. PARTICIPANTS: Six hundred seventeen candidates who applied to a single institution over 4 application cycles (2019-2022). RESULTS: Using area under the curve modeling, LRM score was the most predictive indicator for match success. With every one-point increase in LRM score, there was an 11% and 8.3% increase in the likelihood of screened and interviewed applicant match success (p < 0.001). An algorithm was developed to estimate the probability of match success based on LRM score. No significant differences in LRM scores were appreciated for interviewed applicant gender or self-identified race groups. CONCLUSIONS: LRM score is the most predictive indicator of match success for PRS applicants and can be used to estimate an applicant's probability of successfully matching into an integrated PRS residency. Furthermore, it provides a holistic evaluation of the applicant that can streamline the application process and improve recruitment diversity. In the future, this model could be applied to assist in the match process for other specialties.


Subject(s)
Internship and Residency , Plastic Surgery Procedures , Surgery, Plastic , Humans , Personnel Selection , Surgery, Plastic/education
8.
Acad Med ; 98(9): 1018-1021, 2023 09 01.
Article in English | MEDLINE | ID: mdl-36940395

ABSTRACT

PROBLEM: Reviewing residency application narrative components is time intensive and has contributed to nearly half of applications not receiving holistic review. The authors developed a natural language processing (NLP)-based tool to automate review of applicants' narrative experience entries and predict interview invitation. APPROACH: Experience entries (n = 188,500) were extracted from 6,403 residency applications across 3 application cycles (2017-2019) at 1 internal medicine program, combined at the applicant level, and paired with the interview invitation decision (n = 1,224 invitations). NLP identified important words (or word pairs) with term frequency-inverse document frequency, which were used to predict interview invitation using logistic regression with L1 regularization. Terms remaining in the model were analyzed thematically. Logistic regression models were also built using structured application data and a combination of NLP and structured data. Model performance was evaluated on never-before-seen data using area under the receiver operating characteristic and precision-recall curves (AUROC, AUPRC). OUTCOMES: The NLP model had an AUROC of 0.80 (vs chance decision of 0.50) and AUPRC of 0.49 (vs chance decision of 0.19), showing moderate predictive strength. Phrases indicating active leadership, research, or work in social justice and health disparities were associated with interview invitation. The model's detection of these key selection factors demonstrated face validity. Adding structured data to the model significantly improved prediction (AUROC 0.92, AUPRC 0.73), as expected given reliance on such metrics for interview invitation. NEXT STEPS: This model represents a first step in using NLP-based artificial intelligence tools to promote holistic residency application review. The authors are assessing the practical utility of using this model to identify applicants screened out using traditional metrics. Generalizability must be determined through model retraining and evaluation at other programs. Work is ongoing to thwart model "gaming," improve prediction, and remove unwanted biases introduced during model training.


Subject(s)
Internship and Residency , Humans , Natural Language Processing , Artificial Intelligence , Personnel Selection , Leadership
9.
Urology ; 173: 41-47, 2023 03.
Article in English | MEDLINE | ID: mdl-36603653

ABSTRACT

OBJECTIVE: To examine the Urology residency application process, particularly the interview. Historically, the residency interview has been vulnerable to bias and not determined to be a predictor of future residency performance. Our goal is to determine the relationship between pre-interview metrics and post-interview ranking using best practices for Urology resident selection including holistic review, blinded interviews, and structured behaviorally anchored questions. METHODS: Applications were assessed on cognitive (Alpha Omega Alpha, class rank, junior year clinical clerkship grades) and non-cognitive attributes (letters of recommendation [LOR], personal statement [PS], demographics, research, personal characteristics) by reviewers blinded to USMLE scores and photograph. Interviewers were blinded to the application other than PS and LORs. Interviews consisted of a structured behaviorally anchored question (SBI) and an unstructured interview (UI). Odds ratios were determined comparing pre-interview and interview impressions. RESULTS: Fifty-one applicants were included in the analysis. USMLE step 1 score (average 245) was associated with Alpha Omega Alpha, class rank, junior year clinical clerkship, and PS. The UI score was associated with the LOR (P = .04) whereas SBI scores were not (P = .5). Faculty rank was associated with SBI, UI, and overall interview (OI) scores (P < .001). Faculty rank was also associated with LOR. Resident impression of interviewees were associated with faculty interview scores (P = .001) and faculty rank (P < .001). CONCLUSION: Traditional interviews may be biased toward application materials and may be balanced with behavioral questions. While Step 1 score does not offer additional information over other PI metrics, blinded interviews may offer discriminant validity over a PI rubric.


Subject(s)
Internship and Residency , Humans , Personnel Selection
10.
J Perinatol ; 43(4): 540-545, 2023 04.
Article in English | MEDLINE | ID: mdl-36329162

ABSTRACT

Physicians who identify as Black, Latinx, American Indian, Pacific Islander, and certain Asian subgroups represent racial and ethnic populations that are underrepresented in medicine (URM). While the proportion of URM pediatric trainees has remained unchanged, that of Neonatal-Perinatal Medicine (NPM) fellows has decreased. Informed by the medical literature and our lived experiences, we compiled and developed a list of recommendations to support NPM fellowship programs in the recruitment, retention, and promotion of URM trainees. We describe ten recommendations that address 1) creating a culture of inclusivity and psychological safety, 2) the critical appraisal of recruitment practices and climate, and 3) an inclusive and holistic fellowship application process. The first two themes lay the foundation, while the final theme spotlights our recommendations for URM recruitment. Each recommendation is a step towards improvement in recruitment and inclusion at a program.


Subject(s)
Education, Medical, Graduate , Minority Groups , Pediatrics , Personnel Selection , Personnel Turnover , Racial Groups , Humans , Asian , United States/epidemiology , Perinatology , Neonatology , Personnel Selection/methods , Fellowships and Scholarships/methods , Pacific Island People , Black or African American , Hispanic or Latino , American Indian or Alaska Native
11.
J Surg Educ ; 79(6): 1342-1352, 2022.
Article in English | MEDLINE | ID: mdl-35842403

ABSTRACT

OBJECTIVE: Holistic review, which emphasizes qualitative attributes over objective measures, has been proposed as a method for selecting candidates for surgical residency in order to improve diversity in graduate medical education, and, ultimately, the field of surgery. This study seeks to articulate desirable traits of applicants as a first-step in standardizing the holistic review process. DESIGN: Using Group Concept Mapping, a web-based mixed-methods participatory research methodology, residency selection committee members were asked to 1) list desirable characteristics of applicants, 2) group these into categories, 3) rate their importance to academic/clinical success on a 5-point Likert scale (1 = not at all important, 5 = extremely important), and 4) rate the degree to which each characteristic is feasible to assess on a 3-point Likert scale (1 = not at all feasible, 3 = very feasible). Grouped characteristics submitted to hierarchical cluster analysis depicted committee's consensus about desirable qualities/criteria for applicants. Bivariate scatter-plots and pattern-matching graphics demonstrated which of these criteria were most important and reliably assessed. SETTING: A single academic general surgery residency training program in Western Pennsylvania. PARTICIPANTS: Members of the selection committee for the UPMC General Surgery Residency program who had participated in at least 1 prior cycle of applicant selection. RESULTS: Desirable characteristics of highly qualified applicants into an academic general surgery residency were clustered into domains of 1) scholarly work and research, 2) grades/formal assessments, 3) program fit, 4) behavioral assets, and 5) aspiration. Behavioral assets, which was felt to be the most important to clinical and academic success were considered to be the least feasible to reliably assess. Within this domain, initiative, being self-motivated, intellectual curiosity, work ethic, communication skills, maturity and self-awareness, and thoughtfulness were viewed as most frequently reliably assessed from the application and interview process. CONCLUSIONS: High quality applicants possess several behavioral assets that faculty deem are important to academic and clinical success. Adapting validated metrics for assessing these assets, may provide a solution for addressing subjectivity and other challenges scrutinized by critics of holistic review.


Subject(s)
Academic Success , General Surgery , Internship and Residency , Humans , Personnel Selection/methods , Education, Medical, Graduate , Aptitude , General Surgery/education
12.
J Surg Educ ; 79(3): 643-654, 2022.
Article in English | MEDLINE | ID: mdl-35123913

ABSTRACT

OBJECTIVE: The residency recruitment process has become increasingly challenging for both applicants and program directors, in part, due to the inflation in the number of applications per student. As a result, it has become more daunting for programs to design processes that evaluate applicants holistically. Furthermore, the existing methods used to evaluate and select applicants do not necessarily predict success in residency and may inadvertently lend to gender, racial, and ethnic bias. This narrative review aims to identify innovative tools used in residency recruitment that will allow programs and applicants to better determine concordance of interests and achieve value alignment while supporting improved, objective evaluation of an applicant's unique attributes and experiences. DESIGN: PubMed was used to conduct a narrative review of recruitment strategies in admission processes of undergraduate and graduate medical education between 1975 and June 2021, using the designated Medical Subject Heading (MeSH0 terms. Inclusion criteria were established surrounding innovative tools to better objectively screen, evaluate, or select applicants. Strategies relying primarily on traditional metrics (United States Medical Licensing Examination (USMLE) scores, Alpha Omega Alpha status, and clerkship grades) were excluded. RESULTS: Forty-two articles met specific inclusion criteria. Using these articles, a framework was created with two specific aims: (1) to allow applicants and programs to express or assess interest and (2) to foster objective review of unique applicant attributes, skills, experiences, and competencies that align with program mission and values. The following five innovative tools for recruitment were identified: preference signaling, secondary applications, standardized letters of recommendation, situational judgment testing, and surgical simulation. CONCLUSIONS: As the number of applications continues to rise, strategies must be implemented to allow applicants and institutions to achieve better alignment or "fit," while also giving balanced consideration to all of an applicant's unique characteristics. A more holistic approach to applicant selection is a necessary tool in order to increase diversity and inclusion within the field of surgery.


Subject(s)
Internship and Residency , Education, Medical, Graduate , Ethnicity , Humans , Personnel Selection , Students , United States
13.
Curr Opin Otolaryngol Head Neck Surg ; 29(6): 517-525, 2021 Dec 01.
Article in English | MEDLINE | ID: mdl-34710070

ABSTRACT

PURPOSE OF REVIEW: This article will provide an overview of recent disruptions to the otolaryngology residency match process and conclude with questions and resources that can guide future selection system design. RECENT FINDINGS: During the implementation of the single accreditation system, the loss of osteopathic programs, reduction of osteopathic leadership positions, and lack of interest in Osteopathic Recognition represent serious threats to the profession; this has implications for the distribution of the otolaryngology workforce, plausibly decreasing healthcare access in less-populated communities. Next, the impacts of COVID-19 reverberated throughout the application process, including the reduction/elimination of away rotations, modification of application requirements, conversion to virtual interviews, and initiation of preference signaling. Soon, the transition to pass/fail scoring for the United States Medical Licensing Exam Step 1 could stimulate a paradigm shift, with a heightened emphasis on holistic review. SUMMARY: The last two match cycles have been the most dynamic and unpredictable in decades. Out of the commotion, the otolaryngology community has an opportunity for a fresh start, combining insights from past literature with recent articles compiled for this review. Moving forward, it will be advantageous to approach residency selection as a well-executed quality improvement project, requiring continuous assessment and adjustment.


Subject(s)
COVID-19 , Internship and Residency , Otolaryngology , Humans , Otolaryngology/education , Personnel Selection , SARS-CoV-2 , United States
14.
Acad Med ; 96(11S): S54-S61, 2021 11 01.
Article in English | MEDLINE | ID: mdl-34348383

ABSTRACT

PURPOSE: Residency programs face overwhelming numbers of residency applications, limiting holistic review. Artificial intelligence techniques have been proposed to address this challenge but have not been created. Here, a multidisciplinary team sought to develop and validate a machine learning (ML)-based decision support tool (DST) for residency applicant screening and review. METHOD: Categorical applicant data from the 2018, 2019, and 2020 residency application cycles (n = 8,243 applicants) at one large internal medicine residency program were downloaded from the Electronic Residency Application Service and linked to the outcome measure: interview invitation by human reviewers (n = 1,235 invites). An ML model using gradient boosting was designed using training data (80% of applicants) with over 60 applicant features (e.g., demographics, experiences, academic metrics). Model performance was validated on held-out data (20% of applicants). Sensitivity analysis was conducted without United States Medical Licensing Examination (USMLE) scores. An interactive DST incorporating the ML model was designed and deployed that provided applicant- and cohort-level visualizations. RESULTS: The ML model areas under the receiver operating characteristic and precision recall curves were 0.95 and 0.76, respectively; these changed to 0.94 and 0.72, respectively, with removal of USMLE scores. Applicants' medical school information was an important driver of predictions-which had face validity based on the local selection process-but numerous predictors contributed. Program directors used the DST in the 2021 application cycle to select 20 applicants for interview that had been initially screened out during human review. CONCLUSIONS: The authors developed and validated an ML algorithm for predicting residency interview offers from numerous application elements with high performance-even when USMLE scores were removed. Model deployment in a DST highlighted its potential for screening candidates and helped quantify and mitigate biases existing in the selection process. Further work will incorporate unstructured textual data through natural language processing methods.


Subject(s)
Decision Support Techniques , Internship and Residency , Machine Learning , Personnel Selection/methods , School Admission Criteria , Humans , United States
15.
East. Mediterr. health j ; East. Mediterr. health j;27(7): 698-706, 2021-07.
Article in English | WHO IRIS | ID: who-353208

ABSTRACT

Background: Despite the importance of gender and intersectionality in policy-making for human resources for health, these issues have not been given adequate consideration in health workforce recruitment and retention in Africa. Aims: The objective of this review was to show how gender intersects with other sociocultural determinants of health to create different experiences of marginalization and/or privilege in the recruitment and retention of human resources for health in Africa. Methods: This was rapid review of studies that investigated the intersectionality of gender in relation to recruitment and retention of health workers in Africa. A PubMed search was undertaken in April 2020 to identify eligible studies. Search terms used included: gender, employment, health workers, health workforce, recruitment and retention. Criteria for inclusion of studies were: primary research; related to the role of gender and intersectionality in recruitment and retention of the health workforce; conducted in Africa; quantitative or qualitative study design; and published in English. Results: Of 193 publications found, nine fulfilled the study inclusion criteria and were selected. Feminization of the nursing and midwifery profession results in difficulties in recruiting and deploying female health workers. Male domination of management positions was reported. Gender power relationship in the recruitment and retention of the health workforce is shaped by marriage and cultural norms. Occupational segregation, sexual harassment and discrimination against female health workers were reported. Conclusion: This review highlights the importance of considering gender analysis in the development of policies and programmes for human resources for health in Africa.


Subject(s)
Health Workforce , Health Personnel , Personnel Selection , Feminization , PubMed , Marriage , Nurses , Midwifery , Policy Making , Employment , Sexual Behavior , Marital Status , Remuneration , World Health Organization
16.
Plast Reconstr Surg ; 148(1): 219-223, 2021 Jul 01.
Article in English | MEDLINE | ID: mdl-34076626

ABSTRACT

SUMMARY: The United States Medical Licensing Examination announced the changing of Step 1 score reporting from a three-digit number to pass/fail beginning on January 1, 2022. Plastic surgery residency programs have traditionally used United States Medical Licensing Examination Step 1 scores to compare plastic surgery residency applicants. Without a numerical score, the plastic surgery residency application review process will likely change. This article discusses advantages, disadvantages, and steps forward for residency programs related to the upcoming change. The authors encourage programs to continue to seek innovative methods of objectively and holistically evaluating applications.


Subject(s)
Educational Measurement/standards , Internship and Residency/organization & administration , Licensure, Medical/standards , Personnel Selection/organization & administration , Surgery, Plastic/education , Humans , Internship and Residency/standards , Personnel Selection/standards , Surgery, Plastic/standards , United States
17.
South Med J ; 114(4): 207-212, 2021 04.
Article in English | MEDLINE | ID: mdl-33787932

ABSTRACT

OBJECTIVES: This pilot study explores how healthcare leaders understand spiritual care and how that understanding informs staffing and resource decisions. METHODS: This study is based on interviews with 11 healthcare leaders, representing 18 hospitals in 9 systems, conducted between August 2019 and February 2020. RESULTS: Leaders see the value of chaplains in terms of their work supporting staff in tragic situations and during organizational change. They aim to continue to maintain chaplaincy efforts in the midst of challenging economic realities. CONCLUSIONS: Chaplains' interactions with staff alongside patient outcomes are a contributing factor in how resources decisions are made about spiritual care.


Subject(s)
Attitude of Health Personnel , Chaplaincy Service, Hospital/organization & administration , Decision Making , Leadership , Pastoral Care/organization & administration , Professional Role , Spirituality , Adult , Aged , Clergy , Female , Humans , Interprofessional Relations , Interviews as Topic , Male , Middle Aged , Occupational Health Services/organization & administration , Personnel Selection/organization & administration , Personnel Staffing and Scheduling/organization & administration , Pilot Projects , United States
19.
J Vasc Surg ; 73(2): 359-371.e3, 2021 02.
Article in English | MEDLINE | ID: mdl-32585182

ABSTRACT

Vascular surgeons provide an important service to the health care system. They are capable of treating a wide range of disease processes that affect both the venous and arterial systems. Their presence broadens the complexity and diversity of services that a health care system can offer both in the outpatient setting and in the inpatient setting. Because of their ability to control hemorrhage, they are critical to a safe operating room environment. The vascular surgery service line has a positive impact on hospital margin through both the direct vascular profit and loss and the indirect result of assisting other surgical and medical services in providing care. The financial benefits of a vascular service line will hold true for a wide range of alternative payment models, such as bundled payments or capitation. To fully leverage a modern vascular surgeon's skill set, significant investment is required from the health care system that is, however, associated with substantial return on the investment.


Subject(s)
Delivery of Health Care, Integrated , Physician's Role , Practice Patterns, Physicians' , Surgeons , Vascular Surgical Procedures , Cost-Benefit Analysis , Delivery of Health Care, Integrated/economics , Health Care Costs , Humans , Job Description , Patient Care Team , Personnel Selection , Practice Patterns, Physicians'/economics , Specialization , Surgeons/economics , Vascular Surgical Procedures/economics , Workload
20.
Obstet Gynecol ; 137(1): 164-169, 2021 01 01.
Article in English | MEDLINE | ID: mdl-33278296

ABSTRACT

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.


Subject(s)
Gynecology/education , Internship and Residency , Obstetrics/education , Personnel Selection/methods , Humans , Job Application , Mobile Applications , Models, Theoretical
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