Understanding clinical decision-making during the COVID-19 pandemic: A cross-sectional worldwide survey

Background: The lack of evidence-based recommendations for therapeutic decisions during the early weeks of the COVID-19 pandemic creates a unique scenario of clinical decision making which is worth to analyze. We aim to identify the drivers of therapeutic aggressiveness during the first weeks of the...

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Main Authors: Javier Martínez-Sanz, José A. Pérez-Molina, Santiago Moreno, Javier Zamora, Sergio Serrano-Villar
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:EClinicalMedicine
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537020302832
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spelling doaj-2fb472682ff94c32b2018b0245cb8be02020-11-25T03:36:40ZengElsevierEClinicalMedicine2589-53702020-10-0127100539Understanding clinical decision-making during the COVID-19 pandemic: A cross-sectional worldwide surveyJavier Martínez-Sanz0José A. Pérez-Molina1Santiago Moreno2Javier Zamora3Sergio Serrano-Villar4Department of Infectious Diseases, Hospital Universitario Ramón y Cajal, Facultad de Medicina, Universidad de Alcalá, IRYCIS, Madrid, Spain; Corresponding author.Department of Infectious Diseases, Hospital Universitario Ramón y Cajal, Facultad de Medicina, Universidad de Alcalá, IRYCIS, Madrid, SpainDepartment of Infectious Diseases, Hospital Universitario Ramón y Cajal, Facultad de Medicina, Universidad de Alcalá, IRYCIS, Madrid, SpainClinical Biostatistics Unit, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Barts and the London School for Medicine and Dentistry, Queen Mary University of London, UKDepartment of Infectious Diseases, Hospital Universitario Ramón y Cajal, Facultad de Medicina, Universidad de Alcalá, IRYCIS, Madrid, SpainBackground: The lack of evidence-based recommendations for therapeutic decisions during the early weeks of the COVID-19 pandemic creates a unique scenario of clinical decision making which is worth to analyze. We aim to identify the drivers of therapeutic aggressiveness during the first weeks of the COVID-19 pandemic. Methods: This cross-sectional worldwide survey (conducted April 12 to 19, 2020) was aimed at physicians who managed patients diagnosed with COVID-19. Treatment preferences were collected in five different clinical scenarios. We used multilevel mixed-effects ordered logistic regression to identify variables that were associated with the use of more aggressive therapies. Findings: The survey was completed by 852 physicians from 44 different specialties and 29 countries. The heterogeneity of therapeutic decisions increased as the clinical scenario worsened. Factors associated with aggressive therapeutic decisions were higher self-perceived expertise (high vs. null, OR 1.95, 95%CI 1.31–2.89), perceived quality of COVID-19 publications (high vs. null, OR 1.92, 95%CI 1.17–3.16), and female sex (OR 1.17, 95%CI 1.02–1.33). Conversely, Infectious Diseases specialty, Latin American and North American origin, lower confidence in the treatments chosen, and having published articles indexed in PubMed as the first-author were associated with the use of less aggressive therapies. Interpretation: Our study provides insight into the drivers of the decision-making process during a new and extreme health emergency. Different factors including the perceived expertise and quality of publications, gender, geographic origin, medical specialty and implication in medical research influenced this process. The clinical severity attenuated the physician's tolerance for uncertainty. Funding: No funding was required.http://www.sciencedirect.com/science/article/pii/S2589537020302832COVID-19Clinical decision-makingSurveys and questionnairesTherapeuticsUncertainty
collection DOAJ
language English
format Article
sources DOAJ
author Javier Martínez-Sanz
José A. Pérez-Molina
Santiago Moreno
Javier Zamora
Sergio Serrano-Villar
spellingShingle Javier Martínez-Sanz
José A. Pérez-Molina
Santiago Moreno
Javier Zamora
Sergio Serrano-Villar
Understanding clinical decision-making during the COVID-19 pandemic: A cross-sectional worldwide survey
EClinicalMedicine
COVID-19
Clinical decision-making
Surveys and questionnaires
Therapeutics
Uncertainty
author_facet Javier Martínez-Sanz
José A. Pérez-Molina
Santiago Moreno
Javier Zamora
Sergio Serrano-Villar
author_sort Javier Martínez-Sanz
title Understanding clinical decision-making during the COVID-19 pandemic: A cross-sectional worldwide survey
title_short Understanding clinical decision-making during the COVID-19 pandemic: A cross-sectional worldwide survey
title_full Understanding clinical decision-making during the COVID-19 pandemic: A cross-sectional worldwide survey
title_fullStr Understanding clinical decision-making during the COVID-19 pandemic: A cross-sectional worldwide survey
title_full_unstemmed Understanding clinical decision-making during the COVID-19 pandemic: A cross-sectional worldwide survey
title_sort understanding clinical decision-making during the covid-19 pandemic: a cross-sectional worldwide survey
publisher Elsevier
series EClinicalMedicine
issn 2589-5370
publishDate 2020-10-01
description Background: The lack of evidence-based recommendations for therapeutic decisions during the early weeks of the COVID-19 pandemic creates a unique scenario of clinical decision making which is worth to analyze. We aim to identify the drivers of therapeutic aggressiveness during the first weeks of the COVID-19 pandemic. Methods: This cross-sectional worldwide survey (conducted April 12 to 19, 2020) was aimed at physicians who managed patients diagnosed with COVID-19. Treatment preferences were collected in five different clinical scenarios. We used multilevel mixed-effects ordered logistic regression to identify variables that were associated with the use of more aggressive therapies. Findings: The survey was completed by 852 physicians from 44 different specialties and 29 countries. The heterogeneity of therapeutic decisions increased as the clinical scenario worsened. Factors associated with aggressive therapeutic decisions were higher self-perceived expertise (high vs. null, OR 1.95, 95%CI 1.31–2.89), perceived quality of COVID-19 publications (high vs. null, OR 1.92, 95%CI 1.17–3.16), and female sex (OR 1.17, 95%CI 1.02–1.33). Conversely, Infectious Diseases specialty, Latin American and North American origin, lower confidence in the treatments chosen, and having published articles indexed in PubMed as the first-author were associated with the use of less aggressive therapies. Interpretation: Our study provides insight into the drivers of the decision-making process during a new and extreme health emergency. Different factors including the perceived expertise and quality of publications, gender, geographic origin, medical specialty and implication in medical research influenced this process. The clinical severity attenuated the physician's tolerance for uncertainty. Funding: No funding was required.
topic COVID-19
Clinical decision-making
Surveys and questionnaires
Therapeutics
Uncertainty
url http://www.sciencedirect.com/science/article/pii/S2589537020302832
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