Literature DB >> 27159073

A Comparison of Web-Based with Traditional Classroom-Based Training of Lung Ultrasound for the Exclusion of Pneumothorax.

Thomas Edrich1, Matthias Stopfkuchen-Evans, Patrick Scheiermann, Markus Heim, Wilma Chan, Michael B Stone, Daniel Dankl, Jonathan Aichner, Dominik Hinzmann, Pingping Song, Ashley L Szabo, Gyorgy Frendl, Kamen Vlassakov, Dirk Varelmann.   

Abstract

BACKGROUND: Lung ultrasound (LUS) is a well-established method that can exclude pneumothorax by demonstration of pleural sliding and the associated ultrasound artifacts. The positive diagnosis of pneumothorax is more difficult to obtain and relies on detection of the edge of a pneumothorax, called the "lung point." Yet, anesthesiologists are not widely taught these techniques, even though their patients are susceptible to pneumothorax either through trauma or as a result of central line placement or regional anesthesia techniques performed near the thorax. In anticipation of an increased training demand for LUS, efficient and scalable teaching methods should be developed. In this study, we compared the improvement in LUS skills after either Web-based or classroom-based training. We hypothesized that Web-based training would not be inferior to "traditional" classroom-based training beyond a noninferiority limit of 10% and that both would be superior to no training. Furthermore, we hypothesized that this short training session would lead to LUS skills that are similar to those of ultrasound-trained emergency medicine (EM) physicians.
METHODS: After a pretest, anesthesiologists from 4 academic teaching hospitals were randomized to Web-based (group Web), classroom-based (group class), or no training (group control) and then completed a posttest. Groups Web and class returned for a retention test 4 weeks later. All 3 tests were similar, testing both practical and theoretical knowledge. EM physicians (group EM) performed the pretest only. Teaching for group class consisted of a standardized PowerPoint lecture conforming to the Consensus Conference on LUS followed by hands-on training. Group Web received a narrated video of the same PowerPoint presentation, followed by an online demonstration of LUS that also instructs the viewer to perform an LUS on himself using a clinically available ultrasound machine and submit smartphone snapshots of the resulting images as part of a portfolio system. Group Web received no other hands-on training.
RESULTS: Groups Web, class, control, and EM contained 59, 59, 20, and 42 subjects. After training, overall test results of groups Web and class improved by a mean of 42.9% (±18.1% SD) and 39.2% (±19.2% SD), whereas the score of group control did not improve significantly. The test improvement of group Web was not inferior to group class. The posttest scores of groups Web and class were not significantly different from group EM. In comparison with the posttests, the retention test scores did not change significantly in either group.
CONCLUSIONS: When training anesthesiologists to perform LUS for the exclusion of pneumothorax, we found that Web-based training was not inferior to traditional classroom-based training and was effective, leading to test scores that were similar to a group of clinicians experienced in LUS.

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Year:  2016        PMID: 27159073     DOI: 10.1213/ANE.0000000000001383

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  14 in total

1.  [Current status of teaching in lung ultrasound : Query of knowledge, utilization, need, and preferred teaching method].

Authors:  R Tomasi; J Aichner; M Heim; T Edrich; D Hinzmann; E Kochs; B Zwißler; P Scheiermann
Journal:  Med Klin Intensivmed Notfmed       Date:  2017-05-11       Impact factor: 0.840

2.  Ultrasound Skill and Application of Knowledge Assessment using an Innovative OSCE Competition-Based Simulation Approach.

Authors:  Annette Rebel; Habib Srour; Amy DiLorenzo; Dung Nguyen; Shelly Ferrell; Sanjay Dwarakanatli; Emily Haas; Randall M Schell
Journal:  J Educ Perioper Med       Date:  2016-07-01

Review 3.  Perioperative Point of Care Ultrasound (POCUS) for Anesthesiologists: an Overview.

Authors:  Linda Li; R Jason Yong; Alan D Kaye; Richard D Urman
Journal:  Curr Pain Headache Rep       Date:  2020-03-21

4.  Impact of an intensive education programme of diagnostic lung and lower limb ultrasound on physiotherapist knowledge: A pilot study.

Authors:  George Ntoumenopoulos; Selina M Parry; Aymeric Le Neindre
Journal:  Australas J Ultrasound Med       Date:  2018-03-22

5.  Evaluation of a pilot programme on diagnostic thoracic ultrasound curriculum for acute care physiotherapists.

Authors:  George Ntoumenopoulos; Hwee Kuan Ong; Hong Chuen Toh; Rafael Pulido Saclolo; Wen Duu Sewa
Journal:  Australas J Ultrasound Med       Date:  2017-07-31

6.  Teaching a Point-of-Care Ultrasound Curriculum to Anesthesiology Trainees With Traditional Didactic Lectures or an Online E-Learning Platform: A Pilot Study.

Authors:  Stephen C Haskins; Daniel Feldman; Kara G Fields; Meghan A Kirksey; Cynthia A Lien; Thuyvan H Luu; Jemiel A Nejim; James A Osorio; Elaine I Yang
Journal:  J Educ Perioper Med       Date:  2018-07-01

7.  Simulation-based training following a theoretical lecture enhances the performance of medical students in the interpretation and short-term retention of 20 cross-sectional transesophageal echocardiographic views: a prospective, randomized, controlled trial.

Authors:  Yang Zhao; Zong-Yi Yuan; Han-Ying Zhang; Xue Yang; Duo Qian; Jing-Yan Lin; Tao Zhu; Hai-Bo Song
Journal:  BMC Med Educ       Date:  2021-06-09       Impact factor: 2.463

Review 8.  Lung ultrasound training: a systematic review of published literature in clinical lung ultrasound training.

Authors:  Pia Iben Pietersen; Kristian Rørbæk Madsen; Ole Graumann; Lars Konge; Bjørn Ulrik Nielsen; Christian Borbjerg Laursen
Journal:  Crit Ultrasound J       Date:  2018-09-03

9.  Online Digital Education for Postregistration Training of Medical Doctors: Systematic Review by the Digital Health Education Collaboration.

Authors:  Pradeep Paul George; Olena Zhabenko; Bhone Myint Kyaw; Panagiotis Antoniou; Pawel Posadzki; Nakul Saxena; Monika Semwal; Lorainne Tudor Car; Nabil Zary; Craig Lockwood; Josip Car
Journal:  J Med Internet Res       Date:  2019-02-25       Impact factor: 5.428

10.  Internet-based digital video atlas of sonographic findings for clinical and educational purposes.

Authors:  Daniel Merkel; Christoph Schneider; Michael Ludwig
Journal:  J Ultrason       Date:  2020-03-31
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