69 Predicting population-level vulnerability among pregnant women Key points • Considering the combination of both social risk and protective factors related to vulnerability is needed to identify pregnant women at risk of adverse outcomes • Multidimensional vulnerability at population-level can be predicted using solely routinely collected data • Using self-reported data in addition to routinely collected data can be relevant to further improve the prediction of multidimensional vulnerability • The strongest predictors to multidimensional vulnerability are related to self-reported health, socioeconomic characteristics and healthcare expenditures and utilization • Without additional data collection, routinely collected data could provide insight in the prevalence, geographical distribution and trends in multidimensional vulnerability at population-level, which can be used for longitudinal monitoring and the formulation of policies. 3
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