Personalizing obstetric care: prediction and prevention of adverse pregnancy outcomes

Linda Jacqueline Elisabeth Meertens

Research output: ThesisDoctoral ThesisInternal

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Abstract

Risk selection – or determining the likelihood of a certain outcome – is an important part of obstetric care in the Netherlands. However, current care is insufficiently based on individual risks and the early detection and prevention of pregnancy complications. This dissertation reveals that risk models for pre-eclampsia and gestational diabetes can make prenatal care more tailored to individual needs. In addition, advising on the use of calcium supplements during pregnancy may be an effective way to prevent pre-eclampsia and other important health risks at the population level and may also lead to a significant reduction in healthcare costs. At present, the risk models are used as part of care pathways for obstetric care in the province of Limburg.
Original languageEnglish
Awarding Institution
  • Maastricht University
Supervisors/Advisors
  • Prins, Martin, Supervisor
  • Smits, Lucas, Co-Supervisor
  • Scheepers, Liesbeth, Co-Supervisor
Award date31 Aug 2018
Place of PublicationMaastricht
Publisher
Print ISBNs9789493014190
DOIs
Publication statusPublished - 2018

Keywords

  • pregnancy
  • risk
  • prediction model
  • validation
  • calcium
  • pregnancy complications
  • Expect Study

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