Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/38932
Title: Time trends in the use of field-substitution in the Belgian health interview survey
Authors: Demarest, Stefaan
MOLENBERGHS, Geert 
Berete, Finaba
Charafeddine, Rana
Van Oyen, Herman
Van Hal, Guido
Issue Date: 2022
Publisher: BMC
Source: Archives of Public Health, 80 (1) (Art N° 229)
Abstract: Background Matched field-substitution has been applied in the Belgian Health Interview Survey (BHIS) since the first round. During data-collection, non-participating households are replaced by substitute households, if needed up to seven times. In this manuscript, the use of field-substitution in the six rounds of BHIS (1997-2018) is assessed. We investigated to what extent field-substitution contributes to obtaining the requested net-sample size and whether this has evolved throughout the successive BHIS's. Methods Harmonized para-data gathered throughout de data-collection phases are used to define the final participation status of all households that could be contacted for participation to the survey. The share of the substituted households was calculated and possible trends in the use of field-substitution throughout the successive surveys was assessed using logistic regression. Finally, it was examined whether the application of field-substitution changed in terms of the position of the participating household in the clusters, using the ESTIMATE statement in the SAS procedure NLMIXED. Results Overall, four in ten participating households are substitute households. This proportion remains rather similar over the surveys. The probability of participating according to the position of the household within the cluster is evidently much higher in households at the first position of initial selected clusters. Over the survey-years, the share of participating household derived from substitute clusters in the total number of participating households has slightly increased. Conclusion Field-substitution in BHIS plays a very substantial role in obtaining the requested net sample both in size and composition. Field-substitution, as applied in BHIS might inspire scientists to consider it when developing their surveys.
Notes: Demarest, S (corresponding author), Sciensano, Dept Epidemiol & Publ Hlth, Rue Juliette Wytsmanstr 14, B-1050 Brussels, Belgium.
stefaan.demarest@sciensano.be
Keywords: Health surveys;Data-collection;Field-substitution
Document URI: http://hdl.handle.net/1942/38932
ISSN: 0778-7367
e-ISSN: 2049-3258
DOI: 10.1186/s13690-022-00982-4
ISI #: 000880322000002
Rights: The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Category: A1
Type: Journal Contribution
Validations: ecoom 2023
Appears in Collections:Research publications

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