Demarest Stefaan, Molenberghs Geert, Berete Finaba, Charafeddine Rana, Van Oyen Herman, Van Hal Guido
Department of Epidemiology and public health, Sciensano, Rue Juliette Wytsmanstraat 14, 1050, Brussels, Belgium.
L-Biostat, U Hasselt & KU Leuven, Leuven, Belgium.
Arch Public Health. 2022 Nov 9;80(1):229. doi: 10.1186/s13690-022-00982-4.
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.
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.
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.
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.
自第一轮调查起，匹配的现场替换就已应用于比利时健康访谈调查（BHIS）。在数据收集过程中，若有必要，非参与家庭会被替换家庭取代，最多可替换七次。在本论文中，对BHIS六轮调查（1997 - 2018年）中现场替换的使用情况进行了评估。我们调查了现场替换在多大程度上有助于获得所需的净样本量，以及这一情况在连续的BHIS调查中是否有所演变。
在整个数据收集阶段收集的协调辅助数据用于确定所有可能被联系参与调查的家庭的最终参与状态。计算被替换家庭的比例，并使用逻辑回归评估在连续调查中现场替换使用的可能趋势。最后，使用SAS过程NLMIXED中的ESTIMATE语句，检查现场替换的应用在参与家庭在集群中的位置方面是否发生了变化。
总体而言，十分之四的参与家庭是替换家庭。这一比例在各次调查中保持相当相似。在最初选定集群的首位家庭中，根据家庭在集群中的位置参与的概率明显高得多。在调查年份中，来自替换集群的参与家庭在参与家庭总数中的比例略有增加。
BHIS中的现场替换在获得所需的净样本量及其规模和构成方面发挥了非常重要的作用。BHIS中应用的现场替换可能会启发科学家在开展调查时予以考虑。
