A study protocol for a predictive model to assess population‑based risk of adverse pregnancy outcomes: The Adverse Pregnancy Outcomes Population Risk Tool (PregPoRT)
PregPoRT will be the first Canadian prediction model for APOs that leverages nationally representative, linked survey and administrative data and explicitly integrates social, behavioral, and environmental determinants of health, domains that have been largely absent from prior models. By incorporating modifiable and socially patterned risk factors, the tool is designed to support public health planning, resource allocation, and maternal health equity monitoring.
Authors
- Sonia M. Grandi (ORCID: https://orcid.org/0000-0002-8576-7854)
- Sabrina Chiodo (ORCID: https://orcid.org/0000-0001-6722-1017)
- Laura C. Rosella
- Jessica Gronsbell
Institutions
- University of Toronto (CA)
- Trillium Health Centre (CA)
- Hospital for Sick Children (CA)
- Public Health Ontario (CA)
- SickKids Foundation (CA)
- Institute for Clinical Evaluative Sciences (CA)
Publication Details
- Journal
- Diagnostic and Prognostic Research
- Published
- 2026-03-02
- DOI
- https://doi.org/10.1186/s41512-026-00220-3
- Primary Topic
- Gestational Diabetes Research and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of Toronto
- Hospital for Sick Children
- Canadian Institutes of Health Research