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Broadstock AT, Baez J, Minges PG, Frederick M, Stolz LA. Directed image review technique (DIRT): A framework for ultrasound image assessment and interpretation. AEM EDUCATION AND TRAINING 2024; 8:e11036. [PMID: 39439543 PMCID: PMC11494445 DOI: 10.1002/aet2.11036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/16/2024] [Revised: 09/30/2024] [Accepted: 10/01/2024] [Indexed: 10/25/2024]
Abstract
Use of point-of-care ultrasound (POCUS) is integral to the practice of emergency medicine, and POCUS education is a required component of emergency medicine training. Developing POCUS skills requires iterative deliberate practice of image acquisition and interpretation. Providing feedback to learners regarding ultrasound image interpretation can be challenging for emergency medicine clinician educators. We present a framework called the directed image review technique. This framework guides learner ultrasound image interpretation and provides educators with a similar structured approach to evaluate a learner's ultrasound competency and provide targeted feedback regarding image acquisition and interpretation.
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2
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Taylor JC. Mitigating Diagnostic Errors With Point-of-Care Ultrasonography: A New Framework. Tex Heart Inst J 2023; 50:e238234. [PMID: 37641910 PMCID: PMC10660645 DOI: 10.14503/thij-23-8234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Affiliation(s)
- Jayne Chirdo Taylor
- Department of Anesthesiology and Critical Care Medicine, Baylor College of Medicine, Houston, Texas
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3
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King AJ, Kahn JM, Brant EB, Cooper GF, Mowery DL. Initial Development of an Automated Platform for Assessing Trainee Performance on Case Presentations. ATS Sch 2022; 3:548-560. [PMID: 36726701 PMCID: PMC9886197 DOI: 10.34197/ats-scholar.2022-0010oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 08/08/2022] [Indexed: 02/04/2023] Open
Abstract
Background Oral case presentation is a crucial skill of physicians and a key component of team-based care. However, consistent and objective assessment and feedback on presentations during training are infrequent. Objective To determine the potential value of applying natural language processing, computer software that extracts meaning from text, to transcripts of oral case presentations as a strategy to assess their quality automatically and objectively. Methods We transcribed a collection of simulated oral case presentations. The presentations were from eight critical care fellows and one critical care attending. They were instructed to review the medical charts of 11 real intensive care unit patient cases and to audio record themselves, presenting each case as if they were doing so on morning rounds. We then used natural language processing to convert the transcripts from human-readable text into machine-readable numbers. These numbers represent details of the presentation style and content. The distance between the numeric representation of two different transcripts negatively correlates with the similarity of those two transcripts. We ranked fellows on the basis of how similar their presentations were to the attending's presentations. Results The 99 presentations included 260 minutes of audio (mean length: 2.6 ± 1.24 min per case). On average, 23.88 ± 2.65 sentences were spoken, and each sentence had 14.10 ± 0.67 words, 3.62 ± 0.15 medical concepts, and 0.75 ± 0.09 medical adjectives. When ranking fellows on the basis of how similar their presentations were to the attending's presentation, we found a gap between the five fellows with the most similar presentations and the three fellows with the least similar presentations (average group similarity scores of 0.62 ± 0.01 and 0.53 ± 0.01, respectively). Rankings were sensitive to whether presentation style or content information were weighted more heavily when calculating transcript similarity. Conclusion Natural language processing enabled the ranking of case presentations on the basis of how similar they were to a reference presentation. Although additional work is needed to convert these rankings, and underlying similarity scores, into actionable feedback for trainees, these methods may support new tools for improving medical education.
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Affiliation(s)
| | | | | | - Gregory F. Cooper
- Department of Biomedical Informatics,
University of Pittsburgh, Pittsburgh, Pennsylvania, and
| | - Danielle L. Mowery
- Department of Biostatistics, Epidemiology,
and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania
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4
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Sharkey A, Mitchell JD, Fatima H, Bose RR, Quraishi I, Neves SE, Isaak R, Wong VT, Mahmood F, Matyal R. National Delphi Survey on Anesthesiology Resident Training in Perioperative Ultrasound. J Cardiothorac Vasc Anesth 2022; 36:4022-4031. [PMID: 35999114 DOI: 10.1053/j.jvca.2022.07.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 07/06/2022] [Accepted: 07/17/2022] [Indexed: 11/11/2022]
Abstract
OBJECTIVE To establish agreement among nationwide experts through a Delphi process on the key components of perioperative ultrasound and the recommended minimum number of examinations that should be performed by a resident upon graduation. DESIGN A prospective cross-sectional study. SETTING A survey on multiinstitutional academic medical centers. PARTICIPANTS Anesthesiology residency program directors and/or experts in perioperative ultrasound. INTERVENTIONS A list of components and examinations recommended for anesthesiology resident training in perioperative ultrasound was developed based on guidelines and 2 survey rounds among a steering committee of 10 experts. A questionnaire asking for a rating of each component on a 5-point Likert scale subsequently was sent to an expert panel of 120 anesthesiology residency program directors across the United States. An agreement of at least 70% of participants, rating a component as 4 or 5, was compulsory to list a component as essential for anesthesiology resident training in perioperative ultrasound. MEASUREMENTS AND MAIN RESULTS The nationwide survey's response rate was 62.5%, and agreement was reached after 2 Delphi rounds. The final list included 44 essential components for basic ultrasound physics and knobology, cardiac ultrasound, lung ultrasound, and ultrasound-guided vascular access. Agreement was not reached for abdominal ultrasound, gastric ultrasound, and ultrasound-guided airway assessment. Agreement for the recommended minimum number of examinations that should be performed by a resident upon graduation included 50 each for transthoracic and transesophageal echocardiography, and 20 each for lung ultrasound, ultrasound-guided central line, and ultrasound-guided arterial line placements. CONCLUSIONS The recommendations outlined in this survey can be used to establish standardized training for perioperative ultrasound by anesthesiology residency programs.
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Affiliation(s)
- Aidan Sharkey
- Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - John D Mitchell
- Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Huma Fatima
- Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Ruma R Bose
- Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Ibrahim Quraishi
- Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Sara E Neves
- Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Robert Isaak
- Department of Anesthesiology, University of North Carolina, Chapel Hill, NC
| | - Vanessa T Wong
- Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Feroze Mahmood
- Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Robina Matyal
- Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
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5
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Soni NJ, Nathanson R, Andreae M, Khosla R, Vadamalai K, Kode K, Boyd JS, LoPresti CM, Resop D, Basrai Z, Williams J, Bales B, Sauthoff H, Wetherbee E, Haro EK, Smith N, Mader MJ, Pugh J, Finley EP, Schott CK. Development of a multisystem point of care ultrasound skills assessment checklist. Ultrasound J 2022; 14:17. [PMID: 35551527 PMCID: PMC9096739 DOI: 10.1186/s13089-022-00268-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 04/08/2022] [Indexed: 11/18/2022] Open
Abstract
Background Many institutions are training clinicians in point-of-care ultrasound (POCUS), but few POCUS skills checklists have been developed and validated. We developed a consensus-based multispecialty POCUS skills checklist with anchoring references for basic cardiac, lung, abdominal, and vascular ultrasound, and peripheral intravenous line (PIV) insertion. Methods A POCUS expert panel of 14 physicians specializing in emergency, critical care, and internal/hospital medicine participated in a modified-Delphi approach to develop a basic POCUS skills checklist by group consensus. Three rounds of voting were conducted, and consensus was defined by ≥ 80% agreement. Items achieving < 80% consensus were discussed and considered for up to two additional rounds of voting. Results Thirteen POCUS experts (93%) completed all three rounds of voting. Cardiac, lung, abdominal, and vascular ultrasound checklists included probe location and control, basic machine setup, image quality and optimization, and identification of anatomical structures. PIV insertion included additional items for needle tip tracking. During the first round of voting, 136 (82%) items achieved consensus, and after revision and revoting, an additional 21 items achieved consensus. A total of 153 (92%) items were included in the final checklist. Conclusions We have developed a consensus-based, multispecialty POCUS checklist to evaluate skills in image acquisition and anatomy identification for basic cardiac, lung, abdominal, and vascular ultrasound, and PIV insertion. Supplementary Information The online version contains supplementary material available at 10.1186/s13089-022-00268-4.
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Affiliation(s)
- Nilam J Soni
- Medicine Service, South Texas Veterans Health Care System, San Antonio, TX, USA. .,Department of Medicine, University of Texas Health San Antonio, 7703 Floyd Curl Drive, MC 7982, San Antonio, TX, 78229, USA.
| | - Robert Nathanson
- Medicine Service, South Texas Veterans Health Care System, San Antonio, TX, USA.,Department of Medicine, University of Texas Health San Antonio, 7703 Floyd Curl Drive, MC 7982, San Antonio, TX, 78229, USA
| | - Mark Andreae
- Departments of Critical Care Medicine and Emergency Medicine, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Rahul Khosla
- Veterans Affairs Medical Center, Washington, DC, USA.,George Washington University, Washington, DC, USA
| | | | - Karthik Kode
- Department of Medicine, University of Hawai'i at Manoa John A. Burns School of Medicine, Honolulu, HI, USA
| | - Jeremy S Boyd
- Emergency Medicine, Veterans Affairs Tennessee Valley Healthcare System, Nashville, TN, USA.,Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Charles M LoPresti
- Medicine Service, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, OH, USA.,Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Dana Resop
- Department of Emergency Medicine, University of Wisconsin, Madison, WI, USA.,Emergency Department, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Zahir Basrai
- Emergency Medicine, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Jason Williams
- Section of Hospital Medicine, Atlanta Veterans Affairs Medical Center, Atlanta, GA, USA.,Division of Hospital Medicine, Emory School of Medicine, Atlanta, GA, USA
| | - Brian Bales
- Emergency Medicine, Veterans Affairs Tennessee Valley Healthcare System, Nashville, TN, USA.,Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Harald Sauthoff
- Medicine Service, Veterans Affairs New York Harbor Healthcare System, New York, NY, USA.,Division of Pulmonary, Critical Care, and Sleep Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Erin Wetherbee
- Division of Pulmonary, Critical Care, and Sleep Medicine, University of Minnesota, Minneapolis, MN, USA.,Pulmonary, Critical Care, and Sleep Apnea, Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, USA
| | - Elizabeth K Haro
- Medicine Service, South Texas Veterans Health Care System, San Antonio, TX, USA.,Department of Medicine, University of Texas Health San Antonio, 7703 Floyd Curl Drive, MC 7982, San Antonio, TX, 78229, USA
| | - Natalie Smith
- Medicine Service, South Texas Veterans Health Care System, San Antonio, TX, USA.,Department of Medicine, University of Texas Health San Antonio, 7703 Floyd Curl Drive, MC 7982, San Antonio, TX, 78229, USA
| | - Michael J Mader
- Research Service, South Texas Veterans Health Care System, San Antonio, TX, USA
| | - Jacqueline Pugh
- Department of Medicine, University of Texas Health San Antonio, 7703 Floyd Curl Drive, MC 7982, San Antonio, TX, 78229, USA
| | - Erin P Finley
- Department of Medicine, University of Texas Health San Antonio, 7703 Floyd Curl Drive, MC 7982, San Antonio, TX, 78229, USA.,Emergency Medicine, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Christopher K Schott
- Departments of Critical Care Medicine and Emergency Medicine, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, PA, USA.,Department of Critical Care Medicine, Veterans Affairs of Pittsburgh Health Care Systems, Pittsburgh, PA, USA
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6
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Rajamani A, Galarza L, Sanfilippo F, Wong A, Goffi A, Tuinman P, Mayo P, Arntfield R, Fisher R, Chew M, Slama M, Mackenzie D, Ho E, Smith L, Renner M, Tavares M, Prabu R N, Ramanathan K, Knudsen S, Bhat V, Arvind H, Huang S. Criteria, Processes, and Determination of Competence in Basic Critical Care Echocardiography Training: A Delphi Process Consensus Statement by the Learning Ultrasound in Critical Care (LUCC) Initiative. Chest 2022; 161:492-503. [PMID: 34508739 DOI: 10.1016/j.chest.2021.08.077] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 08/26/2021] [Accepted: 08/31/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND With the paucity of high-quality studies on longitudinal basic critical care echocardiography (BCCE) training, expert opinion guidelines have guided BCCE competence educational standards and processes. However, existing guidelines lack precise detail due to methodological flaws during guideline development. RESEARCH QUESTIONS To formulate methodologically robust guidelines on BCCE training using evidence and expert opinion, detailing specific criteria for every step, we conducted a modified Delphi process using the principles of the validated AGREE-II tool. Based on systematic reviews, the following domains were chosen: components of a longitudinal BCCE curriculum; pass-grade criteria for image-acquisition and image-interpretation; and formative/summative assessment and final competence processes. STUDY DESIGN AND METHODS Between April 2020 and May 2021, a total of 21 BCCE experts participated in four rounds. Rounds 1 and 2 used five web-based questionnaires, including branching-logic software for directed questions to individual panelists. In round 3 (videoconference), the panel finalized the recommendations by vote. During the journal peer-review process, Round 4 was conducted as Web-based questionnaires. Following each round, the agreement threshold for each item was determined as ≥ 80% for item inclusion and ≤ 30% for item exclusion. RESULTS Following rounds 1 and 2, agreement was reached on 62 of 114 items. To the 49 unresolved items, 12 additional items were added in round 3, with 56 reaching agreement and five items remaining unresolved. There was agreement that longitudinal BCCE training must include introductory training, mentored formative training, summative assessment for competence, and final cognitive assessment. Items requiring multiple rounds included two-dimensional views, Doppler, cardiac output, M-mode measurement, minimum scan numbers, and pass-grade criteria. Regarding objective criteria for image-acquisition and image-interpretation quality, the panel agreed on maintaining the same criteria for formative and summative assessment, to categorize BCCE findings as major vs minor and a standardized approach to errors, criteria for readiness for summative assessment, and supervisory options. INTERPRETATION In conclusion, this expert consensus statement presents comprehensive evidence-based recommendations on longitudinal BCCE training. However, these recommendations require prospective validation.
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Affiliation(s)
- Arvind Rajamani
- University of Sydney Nepean Clinical School, Intensive Care Medicine, Kingswood, NSW, Australia; Department of Intensive Care Medicine, Nepean Hospital, Kingswood, NSW, Australia.
| | - Laura Galarza
- Department of Intensive Care, Hospital General Universitario de Castellon, Castellon de la Plana, Spain
| | - Filippo Sanfilippo
- Department of Anaesthesia and Intensive Care, A.O.U. "Policlinico-San Marco," Catania, Italy
| | - Adrian Wong
- Department of Critical Care, King's College Hospital, London, UK
| | - Alberto Goffi
- Department of Critical Care Medicine and Li Ka Shing Knowledge Institute, St. Michael's Hospital Toronto, Toronto, ON, Canada; Department of Medicine and Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
| | - Pieter Tuinman
- Department of Intensive Care Medicine, Amsterdam University Medical Centers VUmc, Amsterdam, The Netherlands; Amsterdam Leiden Intensive Care Focused Echography (ALIFE), Amsterdam, The Netherlands; Amsterdam Cardiovascular Sciences Research Institute, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Paul Mayo
- Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New Hyde Park, NY; Department of Pulmonary and Critical Care Medicine, Long Island Jewish Medical Center, New Hyde Park, NY
| | - Robert Arntfield
- Division of Critical Care, Department of Medicine, Western University, London, ON, Canada
| | - Richard Fisher
- Department of Critical Care, King's College Hospital, London, UK
| | - Michelle Chew
- Department of Anaesthesia and Intensive Care, Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Michel Slama
- Medical Intensive Care, DRIME Department, University Hospital of Amiens, Amiens, France
| | - David Mackenzie
- Department of Emergency Medicine, Maine Medical Center, Portland, ME
| | - Eunise Ho
- Department of Intensive Care, Princess Margaret Hospital, Hong Kong, China
| | - Louise Smith
- Department of Intensive Care Medicine, Nepean Hospital, Kingswood, NSW, Australia
| | - Markus Renner
- Department of Intensive Care Medicine, Dunedin Hospital, Dunedin, New Zealand; Otago University, New Zealand
| | - Miguel Tavares
- Department of Anesthesiology and Critical Care, Hospital Geral de Santo António, Porto, Portugal
| | - Natesh Prabu R
- Department of Critical Care Medicine, St. John's Medical College Hospital, Bengaluru, Karnataka, India
| | - Kollengode Ramanathan
- Cardiothoracic Intensive Care Unit, National University Hospital, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | - Vijeth Bhat
- John Hunter Hospital, Intensive Care Unit, New Lambton Heights, NSW, Australia
| | | | - Stephen Huang
- University of Sydney Nepean Clinical School, Intensive Care Medicine, Kingswood, NSW, Australia
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7
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Loughran K. Focused Cardiac Ultrasonography in Cats. Vet Clin North Am Small Anim Pract 2021; 51:1183-1202. [PMID: 34454727 DOI: 10.1016/j.cvsm.2021.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Heart disease is a common cause of morbidity and mortality in cats. Focused cardiac ultrasonography (FCU) is a useful diagnostic tool for identifying heart disease in symptomatic and asymptomatic cats when performed by trained veterinarians. When used in conjunction with other diagnostics such as physical examination, blood biomarkers, electrocardiography, Global FAST, and other point-of-care ultrasonographic examinations, FCU may improve clinical decision making and help clinicians prioritize which cats would benefit from referral for complete echocardiography and cardiac consultation. This article reviews the definition, advantages, clinical indications, limitations, training recommendations, and a protocol for FCU in cats.
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Affiliation(s)
- Kerry Loughran
- Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, 3900 Delancey Street, Philadelphia, PA 19104.
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8
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Lavercombe M. The Learners' Voice: Trainee Perceptions of Ultrasound Training. Chest 2021; 160:23-24. [PMID: 34246367 DOI: 10.1016/j.chest.2021.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 03/01/2021] [Indexed: 11/25/2022] Open
Affiliation(s)
- Mark Lavercombe
- Department of Respiratory & Sleep Disorders Medicine, Western Health, Footscray, VIC, Australia; Department of Medical Education, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia.
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9
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Celebrating 1 Year of ATS Scholar. Looking Back and Envisioning the Road Ahead. ATS Sch 2021; 2:5-8. [PMID: 33870317 PMCID: PMC8043282 DOI: 10.34197/ats-scholar.2021-0018ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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10
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Brady AK, Spitzer CR, Kelm D, Brosnahan SB, Latifi M, Burkart KM. Pulmonary Critical Care Fellows' Use of and Self-reported Barriers to Learning Bedside Ultrasound During Training: Results of a National Survey. Chest 2021; 160:231-237. [PMID: 33539836 DOI: 10.1016/j.chest.2021.01.068] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 01/14/2021] [Accepted: 01/16/2021] [Indexed: 10/22/2022] Open
Abstract
BACKGROUND Competence in ultrasonography is essential for pulmonary and critical care medicine (PCCM) fellows, but little is known about fellow-reported barriers to acquiring this crucial skill during fellowship training. RESEARCH QUESTION How do PCCM fellows acquire experience performing and interpreting ultrasonography during their training, what is their perspective on barriers to acquiring ultrasound expertise during fellowship, and what is their comfort with a range of ultrasound examinations? STUDY DESIGN AND METHODS A 20-item survey including questions about procedural training and acquisition of ultrasound skills during PCCM fellowship was developed. The survey instrument was sent to PCCM fellowship program directors to distribute to their fellows at program directors' discretion. RESULTS Four hundred seventy-five responses were received. The most common method of learning ultrasonography was performing it independently at the bedside. Fellows reported that the greatest barrier to acquiring ultrasound skills was the lack of trained faculty experts, followed by lack of a formal curriculum. Fellow comfort was greatest with thoracic ultrasound and least with advanced cardiac ultrasound. INTERPRETATION Significant barriers to ultrasound training during PCCM fellowship exist, and future educational efforts should address these barriers at both program and institutional levels.
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Affiliation(s)
- Anna K Brady
- Division of Pulmonary and Critical Care Medicine, Oregon Health & Science University, Portland, OR.
| | - Carleen R Spitzer
- Division of Pulmonary, Critical Care, and Sleep Medicine, The Ohio State University Wexner Medical Center, Columbus, OH
| | - Diana Kelm
- Division of Pulmonary Critical Care Medicine, Mayo Clinic, Rochester, MN
| | - Shari B Brosnahan
- Division of Pulmonary, Critical Care and Sleep Medicine, New York University Hospital, New York, NY
| | - Mani Latifi
- Pulmonary and Critical Care, Cleveland Clinic Foundation, Cleveland, OH
| | - Kristin M Burkart
- Division of Pulmonary, Allergy and Critical Care Medicine, Columbia University Medical Center, New York, NY
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