Scoping review of the methodology of large health surveys conducted in Spain early on in the COVID-19 pandemic Sánchez-Cantalejo Garrido, Carmen Rueda García, María Del Mar COVID-19 Surveys and questionnaires Mental health Non-probability surveys Reweighting This work was partially supported by Ministerio de Economia y Competitividad and Ministerio de Ciencia e Innovacion of Spain (Grants PID2019-106861RB-I00, PI20/00855, and PI22/00512, respectively) and CIBER of Epidemiology and Public Health (CIBERESP). The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpubh.2023. 1217519/full#supplementary-material Background: The use of health surveys has been key in the scientific community to promptly communicate results about the health impact of COVID-19. But what information was collected, where, when and how, and who was the study population? Objective: To describe the methodological characteristics used in large health surveys conducted in Spain early on in the COVID-19 pandemic. Methods: Scoping review. Inclusion criteria: observational studies published between January 2020 and December 2021, with sample sizes of over 2,000 persons resident in Spain. Databases consulted: PubMed, CINAHL, Literatura Latinoamericana y del Caribe en CC de la Salud, Scopus, PsycINFO, Embase, Sociological Abstracts, Dialnet and Web of Science Core Collection. We analyzed the characteristics of the literature references, methodologies and information gathered in the surveys selected. Fifty five studies were included. Results: Sixty percentage of the studies included had mental health as their main topic and 75% were conducted on the general adult population. Thirteen percentage had a longitudinal design, 93% used the internet to gather information and the same percentage used non-probability sampling. Thirty percentage made some type of sampling correction to reduce coverage or non-response biases, but not selection biases. Sixty seven percentage did not state the availability of their data. Conclusions: Consistent with the extensive use of non-probability sampling without any bias correction in the extraordinary setting created by COVID-19, quality population frameworks are required so that probability and representative samples can be extracted quickly to promptly address other health crises, as well as to reduce potential coverage, non-response and particularly selection biases by utilizing reweighting techniques. The low data accessibility despite the huge opportunity that COVID-19 provided for Open Science-based research is striking. 2023-09-22T06:35:00Z 2023-09-22T06:35:00Z 2023-08-02 info:eu-repo/semantics/article Sánchez-Cantalejo Garrido C, Yucumá Conde D, Rueda MdM, Olry-de-Labry-Lima A, Martín-Ruiz E, Higueras-Callejón C and Cabrera-León A (2023) Scoping review of the methodology of large health surveys conducted in Spain early on in the COVID-19 pandemic. Front. Public Health 11:1217519. [doi: 10.3389/fpubh.2023.1217519] https://hdl.handle.net/10481/84562 10.3389/fpubh.2023.1217519 eng http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Atribución 4.0 Internacional Frontiers Media