Control charts to establish and monitor proficiency in the detection of pulmonary B-lines with Point of Care Ultrasound

Objective: Point of care ultrasound (POCUS) is a widely used clinical tool. This operator-dependent technique requires methods to establish individual benchmarks and to monitor the learning process. We present the use of the learning curve standard cumulative summation (LC-CUSUM) and CUSUM control c...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Ingeniería y universidad 2023, Vol.27
Hauptverfasser: Usaquén-Perilla, Sandra Patricia, Ropero-Rojas, Deliana, Mosquera-Restrepo, Jaime, Kirsch, Jonathan D., Kaltenborn, Zachary P., García-Melo, José Isidro, Osorio-Amaya, Lyda Elena
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title Ingeniería y universidad
container_volume 27
creator Usaquén-Perilla, Sandra Patricia
Ropero-Rojas, Deliana
Mosquera-Restrepo, Jaime
Kirsch, Jonathan D.
Kaltenborn, Zachary P.
García-Melo, José Isidro
Osorio-Amaya, Lyda Elena
description Objective: Point of care ultrasound (POCUS) is a widely used clinical tool. This operator-dependent technique requires methods to establish individual benchmarks and to monitor the learning process. We present the use of the learning curve standard cumulative summation (LC-CUSUM) and CUSUM control charts to establish and monitor, respectively, the proficiency of a physician to detect pulmonary B-lines with POCUS. Materials and Methods: A training course for general practitioners was conducted to detect plasma leakage using POCUS. The trainees and an expert radiologist identified the number of pulmonary B-lines in the POCUS images of 53 hospitalized patients. The interpretation of one trainee was compared to that of the expert radiologist using LC-CUSUM and CUSUM considering image quality and anatomical site. Results and Discussion: We found that image quality was better in the apices than the bases of the lungs. The trainee learning curve differed by anatomical site and the results of LC-CUSUM and CUSUM differed when only high-quality (first scenario) or all images (second scenario) were included in the analysis. Conclusion: The LC-CUSUM and CUSUM control charts were useful to evaluate the learning curve in this case and to identify image quality as an important factor in the evaluation process. They warrant further study as graphical tools for real-time monitoring of POCUS training.
doi_str_mv 10.11144/Javeriana.iued27.ccem
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3039082525</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3039082525</sourcerecordid><originalsourceid>FETCH-LOGICAL-c145t-b29f94340a259113b910c5861f632458c83d5f433b119f42da6da469a9d917a13</originalsourceid><addsrcrecordid>eNo9kMtOwzAQRS0EElXpLyBLrFM8tuPGS4h4qhIs6NpyHEcxSu1iO1T9e1KKWM1iju7MPQhdA1kCAOe3r_rbRqe9XrrRtnS1NMZuz9CMEoCCroQ8RzMClBUUqLhEi5RcQ7gQklBWztC-Dj7HMGDT65gTzgHblHUzuNRj7Vu8Dd7lEPEuhs4ZZ705YOdx7i1ubbYmu-Bx6PBuHCZUxwO-LwbnbcJ7l3v8HpzPx32to8WbIUedwujbK3TR6SHZxd-co83jw0f9XKzfnl7qu3VhgJe5aKjsJGecaFpKANZIIKasBHSCUV5WpmJt2XHGGgDZcdpq0WoupJathJUGNkc3p9zp_69xqqY-wxj9dFIxwiSpaEnLiRInysSQUrSd2kW3ncooIOrXs_r3rE6e1dEz-wHMt3cH</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3039082525</pqid></control><display><type>article</type><title>Control charts to establish and monitor proficiency in the detection of pulmonary B-lines with Point of Care Ultrasound</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Usaquén-Perilla, Sandra Patricia ; Ropero-Rojas, Deliana ; Mosquera-Restrepo, Jaime ; Kirsch, Jonathan D. ; Kaltenborn, Zachary P. ; García-Melo, José Isidro ; Osorio-Amaya, Lyda Elena</creator><creatorcontrib>Usaquén-Perilla, Sandra Patricia ; Ropero-Rojas, Deliana ; Mosquera-Restrepo, Jaime ; Kirsch, Jonathan D. ; Kaltenborn, Zachary P. ; García-Melo, José Isidro ; Osorio-Amaya, Lyda Elena</creatorcontrib><description>Objective: Point of care ultrasound (POCUS) is a widely used clinical tool. This operator-dependent technique requires methods to establish individual benchmarks and to monitor the learning process. We present the use of the learning curve standard cumulative summation (LC-CUSUM) and CUSUM control charts to establish and monitor, respectively, the proficiency of a physician to detect pulmonary B-lines with POCUS. Materials and Methods: A training course for general practitioners was conducted to detect plasma leakage using POCUS. The trainees and an expert radiologist identified the number of pulmonary B-lines in the POCUS images of 53 hospitalized patients. The interpretation of one trainee was compared to that of the expert radiologist using LC-CUSUM and CUSUM considering image quality and anatomical site. Results and Discussion: We found that image quality was better in the apices than the bases of the lungs. The trainee learning curve differed by anatomical site and the results of LC-CUSUM and CUSUM differed when only high-quality (first scenario) or all images (second scenario) were included in the analysis. Conclusion: The LC-CUSUM and CUSUM control charts were useful to evaluate the learning curve in this case and to identify image quality as an important factor in the evaluation process. They warrant further study as graphical tools for real-time monitoring of POCUS training.</description><identifier>ISSN: 0123-2126</identifier><identifier>EISSN: 2011-2769</identifier><identifier>DOI: 10.11144/Javeriana.iued27.ccem</identifier><language>eng</language><publisher>Bogotá: Editorial Pontificia Universidad Javeriana</publisher><subject>Control charts ; CUSUM charts ; Image quality ; Learning curves ; Ultrasonic imaging</subject><ispartof>Ingeniería y universidad, 2023, Vol.27</ispartof><rights>2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c145t-b29f94340a259113b910c5861f632458c83d5f433b119f42da6da469a9d917a13</cites><orcidid>0000-0002-2250-6788 ; 0000-0003-1672-7768 ; 0000-0002-5121-4741 ; 0000-0003-0185-8001 ; 0000-0003-1879-4083 ; 0000-0003-1614-1898 ; 0000-0002-8404-2472</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024,27923,27924,27925</link.rule.ids></links><search><creatorcontrib>Usaquén-Perilla, Sandra Patricia</creatorcontrib><creatorcontrib>Ropero-Rojas, Deliana</creatorcontrib><creatorcontrib>Mosquera-Restrepo, Jaime</creatorcontrib><creatorcontrib>Kirsch, Jonathan D.</creatorcontrib><creatorcontrib>Kaltenborn, Zachary P.</creatorcontrib><creatorcontrib>García-Melo, José Isidro</creatorcontrib><creatorcontrib>Osorio-Amaya, Lyda Elena</creatorcontrib><title>Control charts to establish and monitor proficiency in the detection of pulmonary B-lines with Point of Care Ultrasound</title><title>Ingeniería y universidad</title><description>Objective: Point of care ultrasound (POCUS) is a widely used clinical tool. This operator-dependent technique requires methods to establish individual benchmarks and to monitor the learning process. We present the use of the learning curve standard cumulative summation (LC-CUSUM) and CUSUM control charts to establish and monitor, respectively, the proficiency of a physician to detect pulmonary B-lines with POCUS. Materials and Methods: A training course for general practitioners was conducted to detect plasma leakage using POCUS. The trainees and an expert radiologist identified the number of pulmonary B-lines in the POCUS images of 53 hospitalized patients. The interpretation of one trainee was compared to that of the expert radiologist using LC-CUSUM and CUSUM considering image quality and anatomical site. Results and Discussion: We found that image quality was better in the apices than the bases of the lungs. The trainee learning curve differed by anatomical site and the results of LC-CUSUM and CUSUM differed when only high-quality (first scenario) or all images (second scenario) were included in the analysis. Conclusion: The LC-CUSUM and CUSUM control charts were useful to evaluate the learning curve in this case and to identify image quality as an important factor in the evaluation process. They warrant further study as graphical tools for real-time monitoring of POCUS training.</description><subject>Control charts</subject><subject>CUSUM charts</subject><subject>Image quality</subject><subject>Learning curves</subject><subject>Ultrasonic imaging</subject><issn>0123-2126</issn><issn>2011-2769</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNo9kMtOwzAQRS0EElXpLyBLrFM8tuPGS4h4qhIs6NpyHEcxSu1iO1T9e1KKWM1iju7MPQhdA1kCAOe3r_rbRqe9XrrRtnS1NMZuz9CMEoCCroQ8RzMClBUUqLhEi5RcQ7gQklBWztC-Dj7HMGDT65gTzgHblHUzuNRj7Vu8Dd7lEPEuhs4ZZ705YOdx7i1ubbYmu-Bx6PBuHCZUxwO-LwbnbcJ7l3v8HpzPx32to8WbIUedwujbK3TR6SHZxd-co83jw0f9XKzfnl7qu3VhgJe5aKjsJGecaFpKANZIIKasBHSCUV5WpmJt2XHGGgDZcdpq0WoupJathJUGNkc3p9zp_69xqqY-wxj9dFIxwiSpaEnLiRInysSQUrSd2kW3ncooIOrXs_r3rE6e1dEz-wHMt3cH</recordid><startdate>2023</startdate><enddate>2023</enddate><creator>Usaquén-Perilla, Sandra Patricia</creator><creator>Ropero-Rojas, Deliana</creator><creator>Mosquera-Restrepo, Jaime</creator><creator>Kirsch, Jonathan D.</creator><creator>Kaltenborn, Zachary P.</creator><creator>García-Melo, José Isidro</creator><creator>Osorio-Amaya, Lyda Elena</creator><general>Editorial Pontificia Universidad Javeriana</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-2250-6788</orcidid><orcidid>https://orcid.org/0000-0003-1672-7768</orcidid><orcidid>https://orcid.org/0000-0002-5121-4741</orcidid><orcidid>https://orcid.org/0000-0003-0185-8001</orcidid><orcidid>https://orcid.org/0000-0003-1879-4083</orcidid><orcidid>https://orcid.org/0000-0003-1614-1898</orcidid><orcidid>https://orcid.org/0000-0002-8404-2472</orcidid></search><sort><creationdate>2023</creationdate><title>Control charts to establish and monitor proficiency in the detection of pulmonary B-lines with Point of Care Ultrasound</title><author>Usaquén-Perilla, Sandra Patricia ; Ropero-Rojas, Deliana ; Mosquera-Restrepo, Jaime ; Kirsch, Jonathan D. ; Kaltenborn, Zachary P. ; García-Melo, José Isidro ; Osorio-Amaya, Lyda Elena</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c145t-b29f94340a259113b910c5861f632458c83d5f433b119f42da6da469a9d917a13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Control charts</topic><topic>CUSUM charts</topic><topic>Image quality</topic><topic>Learning curves</topic><topic>Ultrasonic imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Usaquén-Perilla, Sandra Patricia</creatorcontrib><creatorcontrib>Ropero-Rojas, Deliana</creatorcontrib><creatorcontrib>Mosquera-Restrepo, Jaime</creatorcontrib><creatorcontrib>Kirsch, Jonathan D.</creatorcontrib><creatorcontrib>Kaltenborn, Zachary P.</creatorcontrib><creatorcontrib>García-Melo, José Isidro</creatorcontrib><creatorcontrib>Osorio-Amaya, Lyda Elena</creatorcontrib><collection>CrossRef</collection><jtitle>Ingeniería y universidad</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Usaquén-Perilla, Sandra Patricia</au><au>Ropero-Rojas, Deliana</au><au>Mosquera-Restrepo, Jaime</au><au>Kirsch, Jonathan D.</au><au>Kaltenborn, Zachary P.</au><au>García-Melo, José Isidro</au><au>Osorio-Amaya, Lyda Elena</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Control charts to establish and monitor proficiency in the detection of pulmonary B-lines with Point of Care Ultrasound</atitle><jtitle>Ingeniería y universidad</jtitle><date>2023</date><risdate>2023</risdate><volume>27</volume><issn>0123-2126</issn><eissn>2011-2769</eissn><abstract>Objective: Point of care ultrasound (POCUS) is a widely used clinical tool. This operator-dependent technique requires methods to establish individual benchmarks and to monitor the learning process. We present the use of the learning curve standard cumulative summation (LC-CUSUM) and CUSUM control charts to establish and monitor, respectively, the proficiency of a physician to detect pulmonary B-lines with POCUS. Materials and Methods: A training course for general practitioners was conducted to detect plasma leakage using POCUS. The trainees and an expert radiologist identified the number of pulmonary B-lines in the POCUS images of 53 hospitalized patients. The interpretation of one trainee was compared to that of the expert radiologist using LC-CUSUM and CUSUM considering image quality and anatomical site. Results and Discussion: We found that image quality was better in the apices than the bases of the lungs. The trainee learning curve differed by anatomical site and the results of LC-CUSUM and CUSUM differed when only high-quality (first scenario) or all images (second scenario) were included in the analysis. Conclusion: The LC-CUSUM and CUSUM control charts were useful to evaluate the learning curve in this case and to identify image quality as an important factor in the evaluation process. They warrant further study as graphical tools for real-time monitoring of POCUS training.</abstract><cop>Bogotá</cop><pub>Editorial Pontificia Universidad Javeriana</pub><doi>10.11144/Javeriana.iued27.ccem</doi><orcidid>https://orcid.org/0000-0002-2250-6788</orcidid><orcidid>https://orcid.org/0000-0003-1672-7768</orcidid><orcidid>https://orcid.org/0000-0002-5121-4741</orcidid><orcidid>https://orcid.org/0000-0003-0185-8001</orcidid><orcidid>https://orcid.org/0000-0003-1879-4083</orcidid><orcidid>https://orcid.org/0000-0003-1614-1898</orcidid><orcidid>https://orcid.org/0000-0002-8404-2472</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0123-2126
ispartof Ingeniería y universidad, 2023, Vol.27
issn 0123-2126
2011-2769
language eng
recordid cdi_proquest_journals_3039082525
source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Control charts
CUSUM charts
Image quality
Learning curves
Ultrasonic imaging
title Control charts to establish and monitor proficiency in the detection of pulmonary B-lines with Point of Care Ultrasound
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T20%3A17%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Control%20charts%20to%20establish%20and%20monitor%20proficiency%20in%20the%20detection%20of%20pulmonary%20B-lines%20with%20Point%20of%20Care%20Ultrasound&rft.jtitle=Ingenier%C3%ADa%20y%20universidad&rft.au=Usaqu%C3%A9n-Perilla,%20Sandra%20Patricia&rft.date=2023&rft.volume=27&rft.issn=0123-2126&rft.eissn=2011-2769&rft_id=info:doi/10.11144/Javeriana.iued27.ccem&rft_dat=%3Cproquest_cross%3E3039082525%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3039082525&rft_id=info:pmid/&rfr_iscdi=true