68 CHAPTER 3 arise or change during pregnancy, childbirth or after birth (9). Also a consideration of the role of the father or woman’s partner and wider social network could contribute to more insights into vulnerability and better predictions. CONCLUSIONS This study shows that it is feasible to predict multidimensional vulnerability at populationlevel using solely routinely collected data. Routinely collected data is readily available for the entire population, thereby providing a robust foundation for longitudinal monitoring and policy formulation at population-level. Nevertheless, while predictions are fairly accurate, adding self-reported data is of added value. Funding This study was supported by funding. The Dutch Ministry of Health, Welfare and Sport funded the monitor of the Dutch Solid Start program that was conducted by the National Institute for Public Health and the Environment (Joyce Molenaar, Ka Yin Leung, Peter Paul Klein, Jeroen Struijs, project numbers V/010038/01 and V/060438/22). The Bernard van Leer Foundation provided funding for different projects on the topic of vulnerability before, during and after pregnancy for Erasmus MC (Lindsey van der Meer, grant number NET2017-096). Jessica Kiefte–de Jong received subsidy from the Netherlands Organization of Health Research and Development to study vulnerable and unintended pregnancies (grant number 554002006). The funders of the study had no role in study design, data collection, data analysis, data interpretation, writing the manuscript and submission of the article for publication. Conflicts of interests: None declared Data availability We are unable to share the individual data used for this study as data linkage and analysis was conducted within the highly safeguarded Remote Access (RA) platform of Statistics Netherlands (25). All data within this platform are pseudonymised to ensure data safety and confidentiality. Access to the data from Perined, Statistics Netherlands, and the Public Health Monitor 2016 can be requested from the relevant parties. Acknowledgements We thank Maarten Schipper and Albert Wong for valuable discussions regarding the statistical analyses. Additionally, we thank Agatha van Meijeren and Carolien van den Brink for providing feedback to a draft version of the manuscript.
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