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...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2020-10-01
|
Series: | EClinicalMedicine |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2589537020302832 |
id |
doaj-2fb472682ff94c32b2018b0245cb8be0 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT javiermartinezsanz understandingclinicaldecisionmakingduringthecovid19pandemicacrosssectionalworldwidesurvey AT joseaperezmolina understandingclinicaldecisionmakingduringthecovid19pandemicacrosssectionalworldwidesurvey AT santiagomoreno understandingclinicaldecisionmakingduringthecovid19pandemicacrosssectionalworldwidesurvey AT javierzamora understandingclinicaldecisionmakingduringthecovid19pandemicacrosssectionalworldwidesurvey AT sergioserranovillar understandingclinicaldecisionmakingduringthecovid19pandemicacrosssectionalworldwidesurvey |
_version_ |
1724548845273088000 |