Published on in Vol 7, No 5 (2018): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10066, first published .
Implementation and Effects of Risk-Dependent Obstetric Care in the Netherlands (Expect Study II): Protocol for an Impact Study

Implementation and Effects of Risk-Dependent Obstetric Care in the Netherlands (Expect Study II): Protocol for an Impact Study

Implementation and Effects of Risk-Dependent Obstetric Care in the Netherlands (Expect Study II): Protocol for an Impact Study

Journals

  1. van Montfort P, Smits L, van Dooren I, Lemmens S, Zelis M, Zwaan I, Spaanderman M, Scheepers H. Implementing a Preeclampsia Prediction Model in Obstetrics: Cutoff Determination and Health Care Professionals’ Adherence. Medical Decision Making 2020;40(1):81 View
  2. Montfort P, Scheepers H, Dooren I, Meertens L, Zelis M, Zwaan I, Spaanderman M, Smits L. Low‐dose‐aspirin usage among women with an increased preeclampsia risk: A prospective cohort study. Acta Obstetricia et Gynecologica Scandinavica 2020;99(7):875 View
  3. van Montfort P, Scheepers H, Dirksen C, van Dooren I, van Kuijk S, Meertens L, Wijnen E, Zelis M, Zwaan I, Spaanderman M, Smits L. Impact on perinatal health and cost-effectiveness of risk-based care in obstetrics: a before-after study. American Journal of Obstetrics and Gynecology 2020;223(3):431.e1 View
  4. Jenniskens K, Lagerweij G, Naaktgeboren C, Hooft L, Moons K, Poldervaart J, Koffijberg H, Reitsma J. Decision analytic modeling was useful to assess the impact of a prediction model on health outcomes before a randomized trial. Journal of Clinical Epidemiology 2019;115:106 View
  5. Montfort P, Scheepers H, Dooren I, Meertens L, Wynants L, Zelis M, Zwaan I, Spaanderman M, Smits L. Adherence rates to a prediction tool identifying women with an increased gestational diabetes risk: An implementation study. International Journal of Gynecology & Obstetrics 2021;154(1):85 View