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Online study of health professionals about their vaccination attitudes and behavior in the COVID-19 era: addressing participation bias

Pierre Verger, Dimitri Scronias, Yves Fradier, Malika Meziani and Bruno Ventelou
Additional contact information
Pierre Verger: ORS PACA - Observatoire régional de la santé Provence-Alpes-Côte d'Azur [Marseille], VITROME - Vecteurs - Infections tropicales et méditerranéennes - IRD - Institut de Recherche pour le Développement - AMU - Aix Marseille Université - IRBA - Institut de Recherche Biomédicale des Armées [Brétigny-sur-Orge]
Dimitri Scronias: ORS PACA - Observatoire régional de la santé Provence-Alpes-Côte d'Azur [Marseille], CIC 1417 - CIC Cochin Pasteur - AP-HP - Assistance publique - Hôpitaux de Paris (AP-HP) - Hôpital Cochin [AP-HP] - AP-HP - Assistance publique - Hôpitaux de Paris (AP-HP) - Hôtel-Dieu - Groupe hospitalier Broca - INSERM - Institut National de la Santé et de la Recherche Médicale - UPCité - Université Paris Cité
Yves Fradier: Kantar Media
Malika Meziani: Kantar Media

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Abstract: Online surveys of health professionals have become increasingly popular during the COVID-19 crisis because of their ease, speed of implementation, and low cost. This article leverages an online survey of general practitioners' (GPs') attitudes toward the soon-to-be-available COVID-19 vaccines, implemented in October–November 2020 (before the COVID-19 vaccines were authorized in France), to study the evolution of the distribution of their demographic and professional characteristics and opinions about these vaccines, as the survey fieldwork progressed, as reminders were sent out to encourage them to participate. Focusing on the analysis of the potential determinants of COVID-19 vaccine acceptance, we also tested if factors related to survey participation biased the association estimates. Our results show that online surveys of health professionals may be subject to significant selection bias that can have a significant impact on estimates of the prevalence of some of these professionals' behavioral, opinion, or attitude variables. Our results also highlight the effectiveness of reminder strategies in reaching hard-to-reach professionals and reducing these biases. Finally, they indicate that weighting for nonparticipation remains indispensable and that methods exist for testing (and correcting) selection biases.

Keywords: health care professionals; online surveys; selection bias; attitudes; practices; covid-19; weighting; Heckman method (search for similar items in EconPapers)
Date: 2021-09
New Economics Papers: this item is included in nep-hea
Note: View the original document on HAL open archive server: https://amu.hal.science/hal-03256348
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Citations: View citations in EconPapers (1)

Published in Human Vaccines & Immunotherapeutics, 2021, 17 (9), pp.2934-2939. ⟨10.1080/21645515.2021.1921523⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03256348

DOI: 10.1080/21645515.2021.1921523

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