Medicine Board Research Articles

Duties, tasks, knowledge and skills of an obesity medicine physician: A practice analysis

BackgroundGiven the evolving nature of obesity medicine, periodic evaluation of its clinical practice is needed to ensure that certification requirements address real-world experience. Practice analysis is a systematic approach to define a field's body of knowledge, and its results can inform the content outline and examination blueprint for a certification examination. This study describes the 2023 practice analysis conducted by the American Board of Obesity Medicine (ABOM). MethodsInitially, 14 obesity medicine physicians participated in a practice analysis panel, resulting in 3 duties and 30 tasks required for competent practice of obesity medicine physicians. Each task included steps, knowledge, skills, and abilities needed to perform the task. ABOM then recruited 645 certified obesity medicine physicians from its database to participate in a validation survey to rate the frequency [scale: never (0) to very frequently (5)] and importance [scale: not important (0) to very important (3)] of each task. Survey participants could also provide open-ended comments. ResultsAmong validation survey participants (n = 645), the most common primary medical specialties reported were internal medicine (46.0 %), family medicine (33.8 %), and pediatrics (11.2 %). Years practicing obesity medicine varied with 45.3 % reporting 1–4 years, 26.0 % 5–9 years, and 28.7 % ≥ 10 years in practice. Most tasks were performed frequently (mean score ≥4.0) and rated as important (mean score ≥2.0). All tasks were retained based on the frequency and importance ratings. Survey results informed the weighting in the examination blueprint. ConclusionThere was consensus among practicing ABOM-certified physicians who participated in the validation survey in the tasks required for competent obesity medicine practice. Our practice analysis approach was a structured process that engaged obesity medicine physicians and captured the breadth and depth of knowledge required for obesity medicine. The new content outline and examination blueprint developed will be implemented with the 2025 ABOM certification exam administration.

Performance evaluation of ChatGPT 4.0 on cardiovascular questions from the medical knowledge self-assessment program

Abstract Background Medical trainees are increasingly using online chat-based artificial intelligence (AI) platforms as supplementary resources for board exam preparation and clinical decision support. Prior studies have evaluated the performance of AI chatbots like ChatGPT on various general standardized tests such as the United States Medical Licensing Examination (USMLE), but little is known about their performance on subspecialty-focused exam questions, particularly related to clinical management and treatment. Objective This study aims to evaluate the performance of ChatGPT version 4.0 on the cardiovascular questions from the Medical Knowledge Self-Assessment Program (MKSAP) 19, a widely used resource for board exam preparation in the United States. Methods We submitted all cardiovascular questions from MKSAP 19 to ChatGPT 4.0, covering a broad range of cardiology topics in a multiple-choice format. Performance was gauged against both the official MKSAP answer key and average trainee scores obtained from the MKSAP website. Out of 129 questions, 4 were invalidated due to post-publication data, and 18 were excluded due to reliance on visual aids, leaving 107 questions for analysis. Results ChatGPT 4.0 correctly answered 93 out of 107 questions, reflecting an 87% accuracy rate, compared to a 60% accuracy rate averaged among all human users for the same questions (p<0.0001). ChatGPT accuracy rates for each question category (e.g., heart failure, electrophysiology, etc.) are provided in the figure. On the 14 questions that ChatGPT answered incorrectly, human users averaged a 47% accuracy rate. All 14 incorrectly answered questions were related to clinical management and treatment (as opposed to diagnosis or epidemiology), and the majority (10/14) involved choosing treatment medications or choosing between medications versus interventions. Conclusion ChatGPT 4.0 surpassed the typical 70% accuracy threshold required for passing the internal medicine board certification but performed less well in answering questions about clinical management and treatment. This performance suggests that ChatGPT 4.0 could be an effective adjunct tool for cardiology education, but raises some concerns about its use in clinical decision support for trainees.

Unveiling the Landscape of Brazilian Clinical Oncologists: Challenges, Diversity, and Quality Care

AbstractCancer remains a significant public health challenge in Brazil, with an estimated 704 thousand new cases annually. Clinical oncology, a pivotal specialty in cancer diagnosis and treatment, has evolved since its formal establishment in 1946. Recent recognition by the Brazilian Federal Board of Medicine solidified its status, culminating in normative resolution nr. 2,162/2017. The present study aims to characterize Brazilian clinical oncologists and analyze their epidemiological and structural contexts using data from the Brazilian Society of Clinical Oncology's 2023 census and secondary sources, including the National Cancer Institute (Instituto Nacional de Câncer [INCA], in Portuguese) and Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografia e Estatistica [IBGE], in Portuguese). A cross-sectional design employing qualitative-quantitative methods surveyed 761 clinical oncologists, revealing insights into demographics, workload, stress levels, and challenges. The results highlight regional disparities in cancer mortality rates despite the concentration of oncology services in the South and Southeast. Challenges include access to new treatments, late diagnoses, and systemic underfunding. Moreover, this study underscores gender and racial disparities within the specialty, indicating a predominantly white and heterosexual profile among practitioners. Addressing these issues is crucial for enhancing healthcare equity and improving patients' outcomes in oncology practice.

Ordering and Utilization of Peripheral Blood Flow Cytometry in an Academic Medical Center

Abstract Introduction/Objective The American Society for Clinical Pathology and the American Board of Internal Medicine’s Choosing Wisely campaign have developed best practice utilization guidelines for laboratory testing. Wisconsin Diagnostic Laboratories and Medical College of Wisconsin leadership noticed an increase in inappropriate peripheral blood flow cytometry testing in the last two years. An intervention was developed to help reduce inappropriate testing requests. Methods/Case Report The laboratory implemented a clinical decision support tool in the electronic medical record system that looked at patient diagnosis, history of stem cell transplant, and recommendations from pathology to help improve utilization of peripheral blood flow cytometry testing. Based on patient history, flow cytometry testing would move forward, or an alternative order of a peripheral blood pathology smear review with reflex to flow cytometry was offered. Pathologists would reflex flow cytometry if abnormalities were present by light microscopy or predetermined reflexing criteria were met. Results (if a Case Study enter NA) 314 cases were included for analysis. The intervention reduced volumes of peripheral blood flow cytometry in patients without a history of hematologic malignancy by 49.1% (p=<0.001). Appropriate utilization increased from 47.0% in the pre-intervention period to 80.4% in the post intervention period (p=<0.001). Significant diagnosis rate increased from 42.5% to 50.0% (p=.261). This resulted in a cost savings of $12,232 for the health system during the intervention period. Conclusion Clinical decision support based utilization efforts provide strong and consistent interventions to reduce the unnecessary and inappropriate ordering of peripheral blood flow cytometry.

Pediatric pain physician workforce: an assessment of supply and demand.

Many youth with pain lack access to pediatric pain expertise. There is a critical shortage of pediatric pain physicians, due partly to a paucity of training programs in Pediatric Pain Medicine. Pain fellowships are Anesthesiology-based and there is no pathway to fellowship training or Pain Medicine board certification for pediatricians. This workforce assessment sought to examine the current state of Pediatric Pain Medicine in the United States and future interest in pursuing Pain Medicine among pediatricians. A multidisciplinary working group of Pain Medicine clinicians designed three surveys to examine pediatric comprehensive pain programs in the US, practice patterns of pediatricians and their motivations and opinions regarding Pain Medicine board certification, and current residents' exposure to and interest in Pediatric Pain Medicine. Wait times for initial evaluations are two months or longer for two-thirds of responding centers, and barriers to increase staff size and resources were reported, including an inadequate number of trained or available physicians. Pediatricians expressed interest in earning board certification in Pain Medicine, given the opportunity. Additionally, there is interest among pediatric residents in pursuing Pediatric Pain Medicine, and qualitative data highlight information residents perceived needing in order to pursue a career in the field. Results demonstrate the need for increased training opportunities in pediatric pain medicine. A formal pathway to Pain Medicine for Pediatricians should be developed to increase the potential workforce and to address the lack of trained pediatric pain specialists, thereby improving access to care for youth with pain.

Assessment of ChatGPT-4 in Family Medicine Board Examinations Using Advanced AI Learning and Analytical Methods: Observational Study.

This research explores the capabilities of ChatGPT-4 in passing the American Board of Family Medicine (ABFM) Certification Examination. Addressing a gap in existing literature, where earlier artificial intelligence (AI) models showed limitations in medical board examinations, this study evaluates the enhanced features and potential of ChatGPT-4, especially in document analysis and information synthesis. The primary goal is to assess whether ChatGPT-4, when provided with extensive preparation resources and when using sophisticated data analysis, can achieve a score equal to or above the passing threshold for the Family Medicine Board Examinations. In this study, ChatGPT-4 was embedded in a specialized subenvironment, "AI Family Medicine Board Exam Taker," designed to closely mimic the conditions of the ABFM Certification Examination. This subenvironment enabled the AI to access and analyze a range of relevant study materials, including a primary medical textbook and supplementary web-based resources. The AI was presented with a series of ABFM-type examination questions, reflecting the breadth and complexity typical of the examination. Emphasis was placed on assessing the AI's ability to interpret and respond to these questions accurately, leveraging its advanced data processing and analysis capabilities within this controlled subenvironment. In our study, ChatGPT-4's performance was quantitatively assessed on 300 practice ABFM examination questions. The AI achieved a correct response rate of 88.67% (95% CI 85.08%-92.25%) for the Custom Robot version and 87.33% (95% CI 83.57%-91.10%) for the Regular version. Statistical analysis, including the McNemar test (P=.45), indicated no significant difference in accuracy between the 2 versions. In addition, the chi-square test for error-type distribution (P=.32) revealed no significant variation in the pattern of errors across versions. These results highlight ChatGPT-4's capacity for high-level performance and consistency in responding to complex medical examination questions under controlled conditions. The study demonstrates that ChatGPT-4, particularly when equipped with specialized preparation and when operating in a tailored subenvironment, shows promising potential in handling the intricacies of medical board examinations. While its performance is comparable with the expected standards for passing the ABFM Certification Examination, further enhancements in AI technology and tailored training methods could push these capabilities to new heights. This exploration opens avenues for integrating AI tools such as ChatGPT-4 in medical education and assessment, emphasizing the importance of continuous advancement and specialized training in medical applications of AI.

6960 A Fracture Liaison Service To Address Vitamin D Deficiency For Patients Hospitalized For Osteoporotic Fracture

Abstract Disclosure: X. Sun: None. B. Leder: None. T.V. Ly: None. E. Franco-Garcia: None. M.B. Bolster: Grant Recipient; Self; Rheumatology Research Foundation Clinician Scholar Educator Award; Genentech, Cumberland, Inc, Corbus, Mitsubishi. Other; Self; Honoraria: The Merck Manual, American Board of Internal Medicine, Practice Update. W. Fan: None. Context: A Fracture Liaison Service (FLS) provides an important mechanism to address vitamin D deficiency (VDD) which is commonly found in patients hospitalized with a fragility fracture. Objectives: To study the prevalence of VDD and its associated clinical outcomes among patients hospitalized for osteoporotic fracture. To explore inpatient strategies of vitamin D repletion in the immediate post fracture setting. Design, Setting and Patients: An observational study of patients admitted to the Massachusetts General Hospital (MGH) with fractures between January 2016 to October 2023 who were cared by the FLS. Exposures and Intervention: A vitamin D repletion regimen consisting of ergocalciferol 50,000 international units (IU) oral daily for a number of days followed by maintenance cholecalciferol of 1000-1500 IU daily was studied in a subset of patients with VDD. Main Outcomes and Measures: Prevalence of VDD among MGH FLS patients. Efficacy of inpatient daily ergocalciferol administration to raise serum 25OHD. Results: Of the 2,951 consecutive patients, 724 (24.53%) were vitamin D deficient as defined by serum 25OHD level of ≤19ng/ml. Men (252 of 897, or 28.09%) were more likely than women (472 of 2,054, or 22.98%) to have VDD (p = 0.003). VDD was seen 41.79% (117 of 280), 24.41% (332 of 1,360) and 20.98% (275 out 1,311) of patients of ≤59, 60-79, and ≥80 years old, respectively (p < 0.00001).Of the 1,303 patients with hip fragility fractures, 327 (25.09%) had VDD. Patients with VDD, despite being younger (78.55±11.75 vs. 80.28±10.47, p=0.018), had longer average length-of-stay (aLOS) than those without VDD did (8.37±7.35 vs. 7.23±4.78 days, p=0.009). Re-admission and non-union rates up to two years following the index hip fracture were not different between the two groups.Among 32 patients, without known malabsorption or liver cirrhosis, who had 25OHD levels available before and after ergocalciferol treatment, each dose of ergocalciferol, on average, raised serum 25OHD by 3.62±2.35 (m±sd) ng/ml. Daily ergocalciferol administration did not change serum calcium and creatinine levels.Patients with chronic liver disease (CLD), who had higher prevalence of VDD (64 of 156 patients, or 41.04%), showed impaired per-dose-of-ergocalciferol 25OHD response (0.87±0.92. n=10) ng/ml. Conclusions and Relevance: Nearly 25% of patients hospitalized for osteoporotic fractures, cared for by MGH FLS, had VDD. Male sex, younger age, and CLD were associated with a higher prevalence of VDD. VDD was associated with, on average, one extra day of hospital stay among patients admitted for hip fracture. Daily ergocalciferol, with each dose of 50,000 IU raising serum 25OHD level by 3-4 ng/ml, followed by maintenance dose of cholecalciferol of 1000 to 1500 IU is potentially a practical way to quickly replete vitamin D among patients with VDD hospitalized for fracture. Presentation: 6/3/2024

Book Review for Neuromuscular and Electrodiagnostic Medicine Board Review.

Book Review for Neuromuscular and Electrodiagnostic Medicine Board Review.

Performance of Publicly Available Large Language Models on Internal Medicine Board-style Questions.

Ongoing research attempts to benchmark large language models (LLM) against physicians' fund of knowledge by assessing LLM performance on medical examinations. No prior study has assessed LLM performance on internal medicine (IM) board examination questions. Limited data exists on how knowledge supplied to the models, derived from medical texts improves LLM performance. The performance of GPT-3.5, GPT-4.0, LaMDA and Llama 2, with and without additional model input augmentation, was assessed on 240 randomly selected IM board-style questions. Questions were sourced from the Medical Knowledge Self-Assessment Program released by the American College of Physicians with each question serving as part of the LLM prompt. When available, LLMs were accessed both through their application programming interface (API) and their corresponding chatbot. Mode inputs were augmented with Harrison's Principles of Internal Medicine using the method of Retrieval Augmented Generation. LLM-generated explanations to 25 correctly answered questions were presented in a blinded fashion alongside the MKSAP explanation to an IM board-certified physician tasked with selecting the human generated response. GPT-4.0, accessed either through Bing Chat or its API, scored 77.5-80.7% outperforming GPT-3.5, human respondents, LaMDA and Llama 2 in that order. GPT-4.0 outperformed human MKSAP users on every tested IM subject with its highest and lowest percentile scores in Infectious Disease (80th) and Rheumatology (99.7th), respectively. There is a 3.2-5.3% decrease in performance of both GPT-3.5 and GPT-4.0 when accessing the LLM through its API instead of its online chatbot. There is 4.5-7.5% increase in performance of both GPT-3.5 and GPT-4.0 accessed through their APIs after additional input augmentation. The blinded reviewer correctly identified the human generated MKSAP response in 72% of the 25-question sample set. GPT-4.0 performed best on IM board-style questions outperforming human respondents. Augmenting with domain-specific information improved performance rendering Retrieval Augmented Generation a possible technique for improving accuracy in medical examination LLM responses.

Association of internship with performance on American Board of Physical Medicine and Rehabilitation certification examinations.

Physical Medicine and Rehabilitation (PM&R) residents must complete twelve months of fundamental skills training prior to beginning PM&R residency. The objective of this study is to determine if characteristics of the first post-graduate year (PGY-1) impact performance on American Board of PM&R (ABPMR) initial certification examinations. A retrospective review was conducted on a deidentified ABPMR database of physicians who completed PM&R residency and took the Part I Examination between 2008 and 2022. Physicians who completed categorical residency programs in PM&R had higher pass rates on Part I than physicians who completed advanced programs. Physicians who completed a categorical program had higher scaled scores on the Part II Examination than physicians who completed either a transitional or non-transitional advanced program but pass rates did not differ. Completing less than 3 months of training in internal medicine prior to starting PM&R was associated with lower Part I and Part II Examination scaled scores than completing 3 or more months. Physicians who completed six or more months of internal medicine had higher Part I and Part II Examination pass rates and scaled scores than physicians who completed six or more months in surgery.

Performance of Language Models on the Family Medicine In-Training Exam.

Artificial intelligence (AI), such as ChatGPT and Bard, has gained popularity as a tool in medical education. The use of AI in family medicine has not yet been assessed. The objective of this study is to compare the performance of three large language models (LLMs; ChatGPT 3.5, ChatGPT 4.0, and Google Bard) on the family medicine in-training exam (ITE). The 193 multiple-choice questions of the 2022 ITE, written by the American Board of Family Medicine, were inputted in ChatGPT 3.5, ChatGPT 4.0, and Bard. The LLMs' performance was then scored and scaled. ChatGPT 4.0 scored 167/193 (86.5%) with a scaled score of 730 out of 800. According to the Bayesian score predictor, ChatGPT 4.0 has a 100% chance of passing the family medicine board exam. ChatGPT 3.5 scored 66.3%, translating to a scaled score of 400 and an 88% chance of passing the family medicine board exam. Bard scored 64.2%, with a scaled score of 380 and an 85% chance of passing the boards. Compared to the national average of postgraduate year 3 residents, only ChatGPT 4.0 surpassed the residents' mean of 68.4%. ChatGPT 4.0 was the only LLM that outperformed the family medicine postgraduate year 3 residents' national averages on the 2022 ITE, providing robust explanations and demonstrating its potential use in delivering background information on common medical concepts that appear on board exams.

The standards and tools of the European Union of Medical Specialists Physical and Rehabilitation Medicine Section and Board for rehabilitation management and care: an evidence brief for rehabilitation practitioners.

In line with the World Health Organization's Rehabilitation 2030 initiative that led to its landmark resolution on rehabilitation, the Physical and Rehabilitation Medicine (PRM) Section and Board of the European Union of Medical Specialists have been developing functioning-based standards and tools using the International Classification of Functioning, Disability and Health (ICF) as a reference framework the past few years. This evidence brief aims to enable rehabilitation practitioners to implement these functioning-based standards and tools in rehabilitation care, management, and programming by clarifying functioning as the foundational concept for rehabilitation, introducing the functioning-based standards and tools and presenting concrete applications. This evidence brief also calls for the continuous development of these standards and tools and discusses the implementation challenges and opportunities in the context of the interaction between practice, science and governance.

Hiring in the Pediatric Hospital Medicine Board Certification Era: PHM Leader Perspectives.

The designation of pediatric hospital medicine (PHM) as a board-certified (BC) subspecialty has led to uncertainty about the importance of PHM board certification in hiring pediatric hospitalists and ambiguity in counseling trainees interested in PHM careers about the decision to pursue fellowship. We sought to determine the importance of PHM board eligibility or certification in hiring practices. We conducted an online, cross-sectional, survey-based study of individuals who self-identified as PHM division leadership utilizing the PHM Division Director Listserv and participant recruitment at a national meeting. A total of 86 responses were received. A total of 64% (30/47) of university-setting hospitals, 77% (17/28) of community hospitals, and 100% (11/11) of combined settings reported that they will hire applicants who are not board-eligible (BE) or BC (P = .83). Of the hospitals who will be hiring non-BE hospitalists, 50% of university settings, 77% of community settings, and 55% of combined settings plan to give equal consideration to both BE and non-BE applicants (P = .21). A total of 57% (21/37) of programs with a PHM fellowship felt that fellowship training was an important or very important consideration in hiring, compared with 27% (13/49) of programs without a PHM fellowship (P = .04). Programs with a PHM fellowship were significantly more likely to believe that fellowship training is an important consideration in hiring hospitalists. PHM board certification and fellowship training are perceived as more important by university-based programs, although all settings will consider hiring applicants who are not BC or BE.

Diagnostic accuracy of vision-language models on Japanese diagnostic radiology, nuclear medicine, and interventional radiology specialty board examinations.

The performance of vision-language models (VLMs) with image interpretation capabilities, such as GPT-4 omni (GPT-4o), GPT-4 vision (GPT-4V), and Claude-3, has not been compared and remains unexplored in specialized radiological fields, including nuclear medicine and interventional radiology. This study aimed to evaluate and compare the diagnostic accuracy of various VLMs, including GPT-4 + GPT-4V, GPT-4o, Claude-3 Sonnet, and Claude-3 Opus, using Japanese diagnostic radiology, nuclear medicine, and interventional radiology (JDR, JNM, and JIR, respectively) board certification tests. In total, 383 questions from the JDR test (358 images), 300 from the JNM test (92 images), and 322 from the JIR test (96 images) from 2019 to 2023 were consecutively collected. The accuracy rates of the GPT-4 + GPT-4V, GPT-4o, Claude-3 Sonnet, and Claude-3 Opus were calculated for all questions or questions with images. The accuracy rates of the VLMs were compared using McNemar's test. GPT-4o demonstrated the highest accuracy rates across all evaluations with the JDR (all questions, 49%; questions with images, 48%), JNM (all questions, 64%; questions with images, 59%), and JIR tests (all questions, 43%; questions with images, 34%), followed by Claude-3 Opus with the JDR (all questions, 40%; questions with images, 38%), JNM (all questions, 42%; questions with images, 43%), and JIR tests (all questions, 40%; questions with images, 30%). For all questions, McNemar's test showed that GPT-4o significantly outperformed the other VLMs (all P < 0.007), except for Claude-3 Opus in the JIR test. For questions with images, GPT-4o outperformed the other VLMs in the JDR and JNM tests (all P < 0.001), except Claude-3 Opus in the JNM test. The GPT-4o had the highest success rates for questions with images and all questions from the JDR, JNM, and JIR board certification tests.

Setting the European standards for training in Physical and Rehabilitation Medicine.

The mission of the European Board of Physical and Rehabilitation Medicine (PRM) is to the ensure a consistent and high-level education for PRM physicians across Europe. An important action to accomplish this mission is the publication and continuous update of the European Training Requirements (ETRs) for the specialty of PRM. The first version of the ETRs for PRM was issued in 2017. The aim was to present the up-to-date training standards for trainees, trainers, and training institutions. The revision of the first ETRs, aiming to reflect the current standards in medical education and clinical advances in the field or PRM, started in 2022 and was completed in 2023. It was based on the Rehabilitation Competency Framework and the "Guide for using a contextualised competency framework to develop rehabilitation programmes and their curricula" published by the WHO in 2021. An important addition in the new version of the ETRs is the integration of Entrustable Professional Activities. In all endeavours of the creation of the ETRs, setting the highest standards of training in PRM was pursued.

Effectiveness of SNAPPS Implementation in the Family Medicine Residency Program in Erbil: A Randomized Controlled Trial.

Background and objectives There is a crucial need to embrace modern methodologies for enhancing medical education in disciplines such as Family Medicine. The study introduces the SNAPPS (Summarize, Narrow, Analyze, Probe, Plan, and Select) model, a six-step mnemonic representing a learner-centered case presentation approach that streamlines fact reporting while encouraging clinical reasoning, aiming to evaluate the effectiveness of the SNAPPS method as compared to the traditional model of case presentation in Family Medicine outpatient clinics and to gain insights into how students and preceptors perceive it. Methods A randomized controlled trial was conducted in Family Medicine outpatient clinics in Erbil, Iraq, from March 15, 2023, to August 30, 2023. Using convenience sampling, all Family Medicine board residents (n=30) in Erbiland six preceptors from the Community and Family Medicine department/College of Medicine/Hawler Medical University were randomly assigned into two groups by using the RAND function in Microsoft Excel (Microsoft Corporation, Redmond, Washington, United States). The SNAPPS method was introduced to the SNAPPS group employing approved tools and methods, while no intervention was needed in the control group. Subsequently, 30 cases were presented in each group with a total of 60 case presentations; the case presentations served as the units for data analysis. Feedback and data were gathered after each presentation using validated data recording sheets. Results The study showed a significant advantage for the SNAPPS group over the control group in terms of time efficiency, number of basic clinical attributes covered, and justified diagnoses (P value < 0.001). In the SNAPPS group,90% of the students sought clarification and information, surpassing 30% in the control group (P-value < 0.001). Almost all SNAPPS group students (96.7%) discussed case-related topics, compared to 43.3% in the controls (P-value<0.001). The SNAPPS group received superior overall ratings from both preceptors and students. Conclusion The SNAPPS method enhances clinical diagnostic reasoning in Family Medicine outpatient clinics. It is time-efficient and encourages students to articulate uncertainties, pose questions, and identify case-related topics for self-study.

Procedures Group Chat: A Resident-Driven Approach to Increase Procedural Competency

Introduction: In 2007, the American Board of Internal Medicine (ABIM) shifted away from requiring completion of procedures during residency training and towards emphasizing common procedural indications, contraindications, and complications. As a result, many procedures are now referred to consulting services such as critical care and interventional radiology (IR). Our aim was to address this training gap through a resident-driven initiative that provided daily opportunities to collaborate on procedures in a supervised clinical setting. Methodology: In January 2023, we created a secure group chat and invited Internal Medicine (IM) residents to voluntarily join if they were interested in learning or teaching bedside procedures such as thoracenteses, paracenteses, lumbar punctures, and line placement. Residents who identified a need for a non-emergent bedside procedure would reach out in the group chat to see if a resident certified to perform and supervise that procedure would be available and could subsequently coordinate availability. A two-question survey was sent to the entire residency program asking residents whether they were a part of the group chat and whether they found the chat helpful in advancing their medical knowledge. The impact of the initiative was measured through procedures logged in to New Innovations, a website used by graduate medical education to log completed procedures. We chose five procedures (paracenteses, thoracenteses, central lines, arterial lines, and lumbar punctures) to compare changes in procedure volume performed by IM residents one year before and after the group chat was set up. Results: 64 out of 108 residents responded to the survey (59% response rate). 90% of respondents stated that they were part of the group chat and 76.6% responded they “agree/strongly agree” that the procedures group chat has been helpful. Objective measures of the group chat’s impact revealed a 93% increase in the number of procedures performed by residents. IM Residents logged 122 procedures in 2022, the year prior to the initiation of the group chat, compared to 235 procedures logged in 2023, the year after. There was a 96% increase in paracentesis and 387% change in thoracenteses completed after the group chat was established. Conclusions: The procedures group chat nearly doubled the number of procedures completed and logged by residents. This group chat has fostered enthusiasm for patient care by helping us overcome some of the barriers and delays in health care due to factors out of our control, such as limited resources or staffing. Due to the inexpensive nature of this initiative, it can be easily replicated at other IM programs across the country, especially those without resources such as simulation centers. Future goals include creating formal teaching sessions including cadaver lab simulations and a proceduralist elective for procedures to be taught and supervised by certified residents, attendings, and subspeciality services for a multidisciplinary education.

Shifting tides in cardiology fellowship: an analysis of trends and the virtual interview revolution, 2017 to 2021

Introduction This investigation aimed to delineate the trends in cardiology fellowship applications and match rates between 2017 and 2021, with a particular focus on the effect of the COVID-19 pandemic. Methods Utilizing data from the National Resident Matching Program and the American Board of Internal Medicine covering 6693 applicants, we conducted chi-square tests to assess match rate variations. IBM SPSS version 23 was used for statistical analysis. Results The study noted an increase in matched US MD applicants (from 482 in 2017 to 549 in 2021, P = 0.0001) but a decrease in their match rate (from 89.8% to 83.1%). Matched US DO applicants rose significantly from 60 in 2017 to 103 in 2021 (P = 0.0001). A decline in first-choice matches and an increase in matches beyond the third choice were observed after the shift to virtual interviews. Conclusions The study’s analysis of cardiology fellowship trends from 2017 to 2021 underscores the escalating competitiveness in this field and signals a critical need for further research.

Public preferences and willingness to pay for a net zero NHS: a protocol for a discrete choice experiment in England and Scotland

IntroductionClimate change poses a major threat to our health, livelihoods and the planet. In 2020, the UK National Health Service (NHS) committed to reducing its Scope 1, 2 and 3...

Practice makes perfect: Using simulation to build and assess competency in bone marrow biopsy for heme/onc fellows.

9042 Background: The American Board of Internal Medicine (ABIM) requires that Hematology/Oncology fellows demonstrate competence in bone marrow biopsies (BMB). However, offers no guidance in assessment methods. Neither the "see one, do one, teach one" nor the "complete 5 procedures" approach is sufficient to ensure competency. As this is a potentially painful procedure that requires knowledge of landmarks, simulation in a safe environment is an ideal way to introduce BMB to trainees. In 2015, we started a simulation program to teach fellows how to perform BMB using a cadaver pelvis, and assess their BMB competency. Methods: The Hematology Oncology Fellowship Program at Gundersen Health System holds a half-day simulation for our 6 fellows each July. We begin with a self-evaluation of current skills, using an 8-question pre-test. We then view a demonstration video, pausing to discuss key learning points. Fellows are given a detailed check list of the steps of the procedure. They then experiment with the tools of the procedure and practice sterile technique. We discuss the indications, contraindications, consent, and the procedure itself. For part two, fellows are divided into two groups, each consisting of a first year (F1), second year (F2), and third year (F3) fellow. A cadaver pelvis is used as the model and is positioned in a prone position. Each team is assigned a side of the pelvis. The F3 demonstrates the procedure from start to finish while the F2 and staff assesses competency and the F1 follows with the procedure check list. Once the F3 has completed the procedure and is deemed "competent" they become the leader of the session for their team. F1s can practice as many times as desired, under the guidance of the F2 and F3. F2s also have a chance to refine their skills. After the simulation is complete, fellows repeat the self-evaluation, and we debrief. Results: 44 fellows completed the simulation (F1=16, F2=14, F3=14). Questions for the pre- and post-tests were ranked on a 5-point Likert Scale of strongly agree (1) to strongly disagree (5). F1s had the worst self-assessment prior to the procedure, with a mean score of 2.4 for all questions. However, their post-test self-assessment improved to 1.6. F2s started at 1.5 and improved to 1.1 after the simulation. F3s started at 1.2 and improved to 1.0. All fellows answered that this was a useful exercise and should be continued. Comments were consistently positive, speaking to the importance of a check list, the relaxed atmosphere, and having senior fellows teach the junior fellows. Conclusions: BMB simulation allows for a low-stakes introduction to a stressful procedure, while promoting a team approach to learning. It also gives an opportunity to verify competence for graduating fellows. Fellows self-reported improvement following the session as well as from year to year. Fellows value this learning experience and look forward to it each year.