PREDICTING SHORT INTERPREGNANCY INTERVALS IN WOMEN FROM UNDERSERVED POPULATIONS IN LONDON, ONTARIO

Background: Becoming pregnant within 6 months of previous birth is strongly associated with several adverse perinatal and maternal outcomes. Purpose: To develop a model that can predict which women are at greatest risk of experiencing a short interpregnancy interval (IPI). Methods: Retrospective case-control design was employed using potential predictors collected from medical records. Logistic regression was used to develop a multivarible predictive model identifying key risk factors. Results: Patients were at greatest risk of experiencing a short IPI if they held refugee status (OR: 10.56; 95% Cl: 1.36, 81.70), were in a common law relationship (OR: 7.16; 95% Cl 1.43,44.81), had no specified occupation (OR: 1.30; 95% Cl: 1.10, 1.94), or had the Children’s Aid Society involved in the care of index children (OR: 4.93; 95% Cl: 1.28, 18.72). To maximize utility, a predictive nomogram was constructed. Conclusions: Results can be used to prompt preventative care