Mass online training of health care workers during COVID-19: approach, impact, and outcomes for over 10,000 health care providers
COVID-19 revealed major shortfalls in healthcare workers (HCWs) trained in acute and critical care worldwide, especially in low-resource settings. We aimed to assess mass online courses’ efficacy in preparing HCWs to manage COVID-19 patients and to determine whether rapidly deployed e-learning can e...
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creator | Latif, Asad Zaki, Mareeha Shahbaz, Hamna Hussain, Syeda Asfia Daudpota, Ali Azim Imtiaz, Bisma Asghar, Fahham Hassan, Mohammed Moizul Asghar, Muhammad Ali Aqeel, Masooma Khan, Muhammad Faisal Khan, Robyna Mahmood, Faisal Nawab, Samuel Sabeen, Amber Sohaib, Muhammad Sultan, Syed Farjad Tariq, Muhammed Thawer, Habiba Ali, Natasha Jawwad, Muhammad Niazi, Kehkashan Noorali, Ali Aahil Amin, Syed Kashif Atiq, Huba Samad, Zainab Haider, Adil |
description | COVID-19 revealed major shortfalls in healthcare workers (HCWs) trained in acute and critical care worldwide, especially in low-resource settings. We aimed to assess mass online courses’ efficacy in preparing HCWs to manage COVID-19 patients and to determine whether rapidly deployed e-learning can enhance their knowledge and confidence during a pandemic.
Retrospective cohort study.
This international retrospective cohort study, led by a large Academic Medical Centre (AMC), was conducted via YouTube and the AMC's online learning platform. From 2020 to 2021, multidisciplinary experts developed and deployed six online training courses based on the latest evidence-based management guidelines. Participants were selected through a voluntary sample following an electronic campaign. Training outcomes were assessed using pre-and post-test questionnaires, evaluation forms, and post-training assessment surveys. Kirkpatrick's Model guided training evaluation to measure self-reported knowledge, clinical skills, and confidence improvement. We also captured the number and type of COVID-19 patients managed by HCWs after the trainings.
Every 22.8 reach/impression and every 1.2 engagements led to a course registration. The 10,425 registrants (56.8% female, 43.1% male) represented 584 medical facilities across 154 cities. The largest segments of participants were students/interns (20.6%) and medical officers (13.4%). Of the 2169 registered participants in courses with tests, 66.9% completed post-tests.
Test scores from all courses increased from the initial baseline to subsequent improvement post-course. Participants completing post-training assessment surveys reported that the online courses improved their knowledge and clinical skills (83.5%) and confidence (89.4%). Respondents managed over 19,720 COVID-19 patients after attending the courses, with 47.7% patients being moderately/severely ill.
Participants' confidence in handling COVID-19 patients is increased by rapidly deploying mass training to a substantial target population through digital tools. The findings present a virtual education and assessment model that can be leveraged for future global public health issues, and estimates for future electronic campaigns to target. |
doi_str_mv | 10.1016/j.puhe.2024.05.006 |
format | Article |
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Retrospective cohort study.
This international retrospective cohort study, led by a large Academic Medical Centre (AMC), was conducted via YouTube and the AMC's online learning platform. From 2020 to 2021, multidisciplinary experts developed and deployed six online training courses based on the latest evidence-based management guidelines. Participants were selected through a voluntary sample following an electronic campaign. Training outcomes were assessed using pre-and post-test questionnaires, evaluation forms, and post-training assessment surveys. Kirkpatrick's Model guided training evaluation to measure self-reported knowledge, clinical skills, and confidence improvement. We also captured the number and type of COVID-19 patients managed by HCWs after the trainings.
Every 22.8 reach/impression and every 1.2 engagements led to a course registration. The 10,425 registrants (56.8% female, 43.1% male) represented 584 medical facilities across 154 cities. The largest segments of participants were students/interns (20.6%) and medical officers (13.4%). Of the 2169 registered participants in courses with tests, 66.9% completed post-tests.
Test scores from all courses increased from the initial baseline to subsequent improvement post-course. Participants completing post-training assessment surveys reported that the online courses improved their knowledge and clinical skills (83.5%) and confidence (89.4%). Respondents managed over 19,720 COVID-19 patients after attending the courses, with 47.7% patients being moderately/severely ill.
Participants' confidence in handling COVID-19 patients is increased by rapidly deploying mass training to a substantial target population through digital tools. The findings present a virtual education and assessment model that can be leveraged for future global public health issues, and estimates for future electronic campaigns to target.</description><identifier>ISSN: 0033-3506</identifier><identifier>ISSN: 1476-5616</identifier><identifier>EISSN: 1476-5616</identifier><identifier>DOI: 10.1016/j.puhe.2024.05.006</identifier><identifier>PMID: 38941682</identifier><language>eng</language><publisher>Netherlands: Elsevier Ltd</publisher><subject>Adult ; Clinical Competence ; COVID-19 ; COVID-19 - epidemiology ; COVID-19 - prevention & control ; Critical care ; Disaster management ; E-Learning ; Education, Distance - methods ; Female ; Health Personnel - education ; Humans ; Male ; Massive online open courses ; Medical education ; Middle Aged ; Online education ; Original Research ; Public health ; Retrospective Studies ; SARS-CoV-2 ; Surveys and Questionnaires</subject><ispartof>Public health (London), 2024-08, Vol.233, p.193-200</ispartof><rights>2024 The Author(s)</rights><rights>Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.</rights><rights>2024 The Author(s) 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2526-d1dbbf78ea2d632b9fcb8d214de2f7401b39769e2506c1ebcd577daeb75fbec3</cites><orcidid>0000-0002-1298-1198 ; 0000-0002-6002-4210 ; 0000-0002-5112-9571</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.puhe.2024.05.006$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,777,781,882,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38941682$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Latif, Asad</creatorcontrib><creatorcontrib>Zaki, Mareeha</creatorcontrib><creatorcontrib>Shahbaz, Hamna</creatorcontrib><creatorcontrib>Hussain, Syeda Asfia</creatorcontrib><creatorcontrib>Daudpota, Ali Azim</creatorcontrib><creatorcontrib>Imtiaz, Bisma</creatorcontrib><creatorcontrib>Asghar, Fahham</creatorcontrib><creatorcontrib>Hassan, Mohammed Moizul</creatorcontrib><creatorcontrib>Asghar, Muhammad Ali</creatorcontrib><creatorcontrib>Aqeel, Masooma</creatorcontrib><creatorcontrib>Khan, Muhammad Faisal</creatorcontrib><creatorcontrib>Khan, Robyna</creatorcontrib><creatorcontrib>Mahmood, Faisal</creatorcontrib><creatorcontrib>Nawab, Samuel</creatorcontrib><creatorcontrib>Sabeen, Amber</creatorcontrib><creatorcontrib>Sohaib, Muhammad</creatorcontrib><creatorcontrib>Sultan, Syed Farjad</creatorcontrib><creatorcontrib>Tariq, Muhammed</creatorcontrib><creatorcontrib>Thawer, Habiba</creatorcontrib><creatorcontrib>Ali, Natasha</creatorcontrib><creatorcontrib>Jawwad, Muhammad</creatorcontrib><creatorcontrib>Niazi, Kehkashan</creatorcontrib><creatorcontrib>Noorali, Ali Aahil</creatorcontrib><creatorcontrib>Amin, Syed Kashif</creatorcontrib><creatorcontrib>Atiq, Huba</creatorcontrib><creatorcontrib>Samad, Zainab</creatorcontrib><creatorcontrib>Haider, Adil</creatorcontrib><title>Mass online training of health care workers during COVID-19: approach, impact, and outcomes for over 10,000 health care providers</title><title>Public health (London)</title><addtitle>Public Health</addtitle><description>COVID-19 revealed major shortfalls in healthcare workers (HCWs) trained in acute and critical care worldwide, especially in low-resource settings. We aimed to assess mass online courses’ efficacy in preparing HCWs to manage COVID-19 patients and to determine whether rapidly deployed e-learning can enhance their knowledge and confidence during a pandemic.
Retrospective cohort study.
This international retrospective cohort study, led by a large Academic Medical Centre (AMC), was conducted via YouTube and the AMC's online learning platform. From 2020 to 2021, multidisciplinary experts developed and deployed six online training courses based on the latest evidence-based management guidelines. Participants were selected through a voluntary sample following an electronic campaign. Training outcomes were assessed using pre-and post-test questionnaires, evaluation forms, and post-training assessment surveys. Kirkpatrick's Model guided training evaluation to measure self-reported knowledge, clinical skills, and confidence improvement. We also captured the number and type of COVID-19 patients managed by HCWs after the trainings.
Every 22.8 reach/impression and every 1.2 engagements led to a course registration. The 10,425 registrants (56.8% female, 43.1% male) represented 584 medical facilities across 154 cities. The largest segments of participants were students/interns (20.6%) and medical officers (13.4%). Of the 2169 registered participants in courses with tests, 66.9% completed post-tests.
Test scores from all courses increased from the initial baseline to subsequent improvement post-course. Participants completing post-training assessment surveys reported that the online courses improved their knowledge and clinical skills (83.5%) and confidence (89.4%). Respondents managed over 19,720 COVID-19 patients after attending the courses, with 47.7% patients being moderately/severely ill.
Participants' confidence in handling COVID-19 patients is increased by rapidly deploying mass training to a substantial target population through digital tools. The findings present a virtual education and assessment model that can be leveraged for future global public health issues, and estimates for future electronic campaigns to target.</description><subject>Adult</subject><subject>Clinical Competence</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 - prevention & control</subject><subject>Critical care</subject><subject>Disaster management</subject><subject>E-Learning</subject><subject>Education, Distance - methods</subject><subject>Female</subject><subject>Health Personnel - education</subject><subject>Humans</subject><subject>Male</subject><subject>Massive online open courses</subject><subject>Medical education</subject><subject>Middle Aged</subject><subject>Online education</subject><subject>Original Research</subject><subject>Public health</subject><subject>Retrospective Studies</subject><subject>SARS-CoV-2</subject><subject>Surveys and Questionnaires</subject><issn>0033-3506</issn><issn>1476-5616</issn><issn>1476-5616</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUtv1DAUhS1ERYfCH2CBvGQxSf1I7AQhVWh4tFJRNxVby7FvGg9JHOxkEEv-OY6mVO2G1V3cc777OAi9oSSnhIrzfT4tHeSMsCInZU6IeIY2tJAiKwUVz9GGEM4zXhJxil7GuCeEMMnLF-iUV3VBRcU26M83HSP2Y-9GwHPQbnTjHfYt7kD3c4eNDoB_-fADQsR2CWt3d_P96lNG6_dYT1Pw2nRb7IZJm3mL9WixX2bjB4i49QH7AwRMyTYNf8JMxoOzifoKnbS6j_D6vp6h2y-fb3eX2fXN16vdx-vMsJKJzFLbNK2sQDMrOGvq1jSVZbSwwFpZENrwWooaWDrXUGiMLaW0GhpZtg0YfoYujthpaQawBsZ0ba-m4AYdfiuvnXraGV2n7vxBUcoqXlUiEd7dE4L_uUCc1eCigb7XI_glKk4kF-X61yRlR6kJPsYA7cMcStSandqrNTu1ZqdIqVJ2yfT28YYPln9hJcGHowDSmw4OgorGwWjAugBmVta7__H_Ali0rK8</recordid><startdate>202408</startdate><enddate>202408</enddate><creator>Latif, Asad</creator><creator>Zaki, Mareeha</creator><creator>Shahbaz, Hamna</creator><creator>Hussain, Syeda Asfia</creator><creator>Daudpota, Ali Azim</creator><creator>Imtiaz, Bisma</creator><creator>Asghar, Fahham</creator><creator>Hassan, Mohammed Moizul</creator><creator>Asghar, Muhammad Ali</creator><creator>Aqeel, Masooma</creator><creator>Khan, Muhammad Faisal</creator><creator>Khan, Robyna</creator><creator>Mahmood, Faisal</creator><creator>Nawab, Samuel</creator><creator>Sabeen, Amber</creator><creator>Sohaib, Muhammad</creator><creator>Sultan, Syed Farjad</creator><creator>Tariq, Muhammed</creator><creator>Thawer, Habiba</creator><creator>Ali, Natasha</creator><creator>Jawwad, Muhammad</creator><creator>Niazi, Kehkashan</creator><creator>Noorali, Ali Aahil</creator><creator>Amin, Syed Kashif</creator><creator>Atiq, Huba</creator><creator>Samad, Zainab</creator><creator>Haider, Adil</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-1298-1198</orcidid><orcidid>https://orcid.org/0000-0002-6002-4210</orcidid><orcidid>https://orcid.org/0000-0002-5112-9571</orcidid></search><sort><creationdate>202408</creationdate><title>Mass online training of health care workers during COVID-19: approach, impact, and outcomes for over 10,000 health care providers</title><author>Latif, Asad ; 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We aimed to assess mass online courses’ efficacy in preparing HCWs to manage COVID-19 patients and to determine whether rapidly deployed e-learning can enhance their knowledge and confidence during a pandemic.
Retrospective cohort study.
This international retrospective cohort study, led by a large Academic Medical Centre (AMC), was conducted via YouTube and the AMC's online learning platform. From 2020 to 2021, multidisciplinary experts developed and deployed six online training courses based on the latest evidence-based management guidelines. Participants were selected through a voluntary sample following an electronic campaign. Training outcomes were assessed using pre-and post-test questionnaires, evaluation forms, and post-training assessment surveys. Kirkpatrick's Model guided training evaluation to measure self-reported knowledge, clinical skills, and confidence improvement. We also captured the number and type of COVID-19 patients managed by HCWs after the trainings.
Every 22.8 reach/impression and every 1.2 engagements led to a course registration. The 10,425 registrants (56.8% female, 43.1% male) represented 584 medical facilities across 154 cities. The largest segments of participants were students/interns (20.6%) and medical officers (13.4%). Of the 2169 registered participants in courses with tests, 66.9% completed post-tests.
Test scores from all courses increased from the initial baseline to subsequent improvement post-course. Participants completing post-training assessment surveys reported that the online courses improved their knowledge and clinical skills (83.5%) and confidence (89.4%). Respondents managed over 19,720 COVID-19 patients after attending the courses, with 47.7% patients being moderately/severely ill.
Participants' confidence in handling COVID-19 patients is increased by rapidly deploying mass training to a substantial target population through digital tools. The findings present a virtual education and assessment model that can be leveraged for future global public health issues, and estimates for future electronic campaigns to target.</abstract><cop>Netherlands</cop><pub>Elsevier Ltd</pub><pmid>38941682</pmid><doi>10.1016/j.puhe.2024.05.006</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-1298-1198</orcidid><orcidid>https://orcid.org/0000-0002-6002-4210</orcidid><orcidid>https://orcid.org/0000-0002-5112-9571</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Clinical Competence COVID-19 COVID-19 - epidemiology COVID-19 - prevention & control Critical care Disaster management E-Learning Education, Distance - methods Female Health Personnel - education Humans Male Massive online open courses Medical education Middle Aged Online education Original Research Public health Retrospective Studies SARS-CoV-2 Surveys and Questionnaires |
title | Mass online training of health care workers during COVID-19: approach, impact, and outcomes for over 10,000 health care providers |
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