Moving beyond silos

Peter von Dadelszen, Laura A. Magee, Beth A. Payne, Dustin T. Dunsmuir, Sharla Drebit, Guy A. Dumont, Suellen Miller, Jane Norman, Lee Pyne-Mercier, Andrew H. Shennan, France Donnay, Zulfiqar A. Bhutta, J. Mark Ansermino

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

While we believe that pre-eclampsia matters-because it remains a leading cause of maternal and perinatal morbidity and mortality worldwide-we are convinced that the time has come to look beyond single clinical entities (e.g. pre-eclampsia, postpartum hemorrhage, obstetric sepsis) and to look for an integrated approach that will provide evidence-based personalized care to women wherever they encounter the health system. Accurate outcome prediction models are a powerful way to identify individuals at incrementally increased (and decreased) risks associated with a given condition. Integrating models with decision algorithms into mobile health (mHealth) applications could support community and first level facility healthcare providers to identify those women, fetuses, and newborns most at need of facility-based care, and to initiate lifesaving interventions in their communities prior to transportation. In our opinion, this offers the greatest opportunity to provide distributed individualized care at scale, and soon.
Original languageEnglish
Pages (from-to)S10-5
JournalInternational Journal of Gynecology and Obstetrics
Volume131 Suppl 1
DOIs
Publication statusPublished - 2015

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