Dataset of the vascular e- L earning during the COVID-19 pandemic (EL-COVID) survey

Nikolaos Patelis; Theodosios Bisdas; Zaiping Jing; Jiaxuan Feng; Matthias Trenner; Nyityasmono Tri Nugroho; Paulo Eduardo Ocke Reis; Stephane Elkouri; Alexandre Lecis; Lamisse Karam; Dirk Le Roux; Mihai Ionac; Marton Berczeli; Vincent Jongkind; Kak Khee Yeung; Athanasios Katsargyris; Efthymios Avgerinos; Demetrios Moris; Andrew Choong; Jun Jie Ng; Ivan Cvjetko; George A Antoniou; Phillipe Ghibu; Alexei Svetlikov; Fernando Gallardo Pedrajas; Harm P Ebben; Hubert Stepak; Andrii Chornuy; Sviatoslav Kostiv; Stefano Ancetti; Niki Tadayon; Akli Mekkar; Leonid Magnitskiy; Liliana Fidalgo-Domingos; Sean Matheiken; Eduardo Sebastian Sarutte Rosello; Arda Isik; Georgios Kirkilesis; Kyriaki Kakavia; Sotirios Georgopoulos

doi:10.1016/j.dib.2021.107442

Dataset of the vascular e- L earning during the COVID-19 pandemic (EL-COVID) survey

Data Brief. 2021 Oct:38:107442. doi: 10.1016/j.dib.2021.107442. Epub 2021 Oct 1.

Authors

Nikolaos Patelis^{1

2}, Theodosios Bisdas¹, Zaiping Jing³, Jiaxuan Feng³, Matthias Trenner⁴, Nyityasmono Tri Nugroho⁵, Paulo Eduardo Ocke Reis⁶, Stephane Elkouri⁷, Alexandre Lecis⁸, Lamisse Karam⁹, Dirk Le Roux¹⁰, Mihai Ionac¹¹, Marton Berczeli¹², Vincent Jongkind¹³, Kak Khee Yeung¹⁴, Athanasios Katsargyris^{15

2}, Efthymios Avgerinos^{16

2}, Demetrios Moris¹⁷, Andrew Choong¹⁸, Jun Jie Ng¹⁸, Ivan Cvjetko¹⁹, George A Antoniou²⁰, Phillipe Ghibu²¹, Alexei Svetlikov²¹, Fernando Gallardo Pedrajas²², Harm P Ebben²³, Hubert Stepak²⁴, Andrii Chornuy²⁵, Sviatoslav Kostiv²⁵, Stefano Ancetti²⁶, Niki Tadayon²⁷, Akli Mekkar²⁸, Leonid Magnitskiy²⁹, Liliana Fidalgo-Domingos³⁰, Sean Matheiken³¹, Eduardo Sebastian Sarutte Rosello³², Arda Isik³³, Georgios Kirkilesis², Kyriaki Kakavia², Sotirios Georgopoulos²

Affiliations

¹ 3rd Department of Vascular Surgery, Athens Medical Center, Greece.
² National & Kapodistrian University of Athens, Greece.
³ Vascular surgery department, First affiliated hospital to Navy medical university, Shanghai, PR China.
⁴ Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Germany.
⁵ Faculty of Medicine University of Indonesia - Cipto Mangunkusumo National Hospital, Indonesia.
⁶ Federal University Fluminense, Brazil.
⁷ Centre Hospitalier de l'Université de Montréal, Canada.
⁸ Centre Hospitalier de Troyes, France.
⁹ Hotel Dieu de France Hospital, Lebanon.
¹⁰ University of the Witwatersrand, South Africa.
¹¹ University of Medicine and Pharmacy, Romania.
¹² Semmelweis University, Hungary.
¹³ Amsterdam University Medical Center, The Netherlands.
¹⁴ VU Medical Center, The Netherlands.
¹⁵ Paracelsus Medical University, Klinikum Nurenberg, Germany.
¹⁶ University of Pittsburgh Medical Center, USA.
¹⁷ Duke University Medical Center, USA.
¹⁸ National University of Singapore, Singapore.
¹⁹ University Hospital Merkur, Croatia.
²⁰ Pennine Acute Hospitals NHS Trust, UK.
²¹ University Hospital Hairmyres, UK.
²² Vascular & endovascular surgery Center, National Scientific-Clinical Memorial Hospital, ``Professor I.I. Mechnikov'', North-Western Medical University, The Russian Federation.
²³ Hospital Quironsalud Málaga, Spain.
²⁴ Poznan University of Medical Sciences, Poland.
²⁵ Ternopil University Clinic, Ukraine.
²⁶ University of Bologna, Italy.
²⁷ Shahid Beheshti University of Medical Sciences, Iran.
²⁸ CHU Titi Ouzou, Algeria.
²⁹ Pirogov City Hospital No1, The Russian Federation.
³⁰ Hospital Clínico Universitario de Valladolid, Spain.
³¹ Bedford Hospital NHS Trust, UK.
³² Universidad de la Republica, Uruguay.
³³ Erzincan Binali Yildirim University, Turkey.

Abstract

This dataset supports the findings of the vascular e-Learning during the COVID-19 pandemic survey (the EL-COVID survey). The General Data Protection Regulation (GDPR) of the European Union was taken into consideration in all steps of data handling. The survey was approved by the institutional ethics committee of the Primary Investigator and an online English survey consisting of 18 questions was developed ad-hoc. A bilingual English-Mandarin version of the questionnaire was developed according to the instructions of the Chinese Medical Association in order to be used in mainland People's Republic of China. Differences between the two questionnaires were minor and did affect the process of data collection. Both questionnaires were hosted online. The EL-COVID survey was advertised through major social media. All national and regional contributors contacted their respective colleagues through direct messaging on social media or by email. Eight national societies or groups supported the dissemination of the EL-COVID survey. The data provided demographics information of the EL-COVID participants and an insight on the level of difficulty in accessing or citing previously attended online activities and whether participants were keen on citing these activities in their Curricula Vitae. A categorization of additional comments made by the participants are also based on the data. The survey responses were filtered, anonymized and submitted to descriptive analysis of percentage.

Keywords: Distance learning; Education; Surgery; Training; Vascular surgery; e-learning.