Claudia Cappa, Nicole Petrowski, Elga Filipa De Castro, Emily Geisen, Patricia LeBaron, Betania Allen-Leigh, Jean Marie Place, Paul J Scanlon
Identifying and Minimizing Errors in the Measurement of Early Childhood Development: Lessons Learned from the Cognitive Testing of the ECDI2030
International journal of environmental research and public health
determine associations sociodemographic medical factors odds readmission discharge neonatal intensive care unit infants low birth weight 1500g cohort study using linked data california perinatal quality care collaborative california vital statistics child opportunity index coi 20 infants low birth weight born 2009 2018 california considered odds ratios readmission within 30 days discharge adjusting infant medical factors maternal sociodemographic factors birth hospital calculated via multivariable logistic regression fixedeffect logistic regression models total 42 411 infants met inclusion criteria also 85 infants readmitted within 30 days discharge addition traditional medical risk factors two sociodemographic factors significantly associated increased odds readmission adjusted models payor private insurance delivery aor 125 95 ci 114136 maternal education less high school degree aor 119 95 ci 106133 neighborhood child opportunity index associated odds readmission sociodemographic factors including lack private insurance lower maternal educational attainment significantly independently associated increased odds readmission neonatal intensive care unit discharge addition traditional medical risk factors socioeconomic deprivation health literacy may contribute risk readmission targeted discharge interventions focused addressing social drivers health warrant exploration