Continuous And Data-drivEN CarE (CADENCE) Pilot

Overview

The proposed project seeks to use public health and clinical data on opioid use disorders (OUD) outcomes for mother and infants, which is the leading cause of death to mothers one year after deliver and can lead to neonatal withdrawal syndrome (NOWS) and other poor outcomes. Insufficient or incomplete data about OUD and lack of integrated programs for OUD treatment during pregnancy can be barriers to providing optimal care to mothers and infants.

Maternal opioid use disorder (OUD) is the leading cause of maternal mortality in the first year after delivery nationwide. OUD also contributes substantially to out-of-home placements in the child welfare system. Medication for OUD (MOUD) is the primary standard of treatment, however, access to MOUD and prenatal care is limited, siloed, and fragmented in Florida. Gaps in access to and continuity of healthcare (prenatal, postpartum, pediatric, pharmacological and behavioral health) and other services for mothers in OUD recovery lead to poor outcomes for parent, child and family. There is also insufficient data integration, due to inconsistent data collection methods or use of diagnostic codes, to identify mother-infant dyads affected by OUD that could inform optimal care at the local level. Single-site studies that integrate substance use disorder programs in pregnancy have been shown to improve neonatal and maternal outcomes. With that in mind, the long-term goal of this study is to leverage high-quality local and timely data to improve OUD outcomes before, during, and after pregnancy with an integrated care approach that can be replicated throughout the state. The objective of the proposed project is to consolidate multiple streams of public health and clinical healthcare data to analyze equitable access and outcomes for families affected by maternal OUD for use in quality improvement cycles to rapidly refine our integrated CADENCE (Continuous and Data-Driven Care) Program. Our central hypothesis is that integrated, continuous, data-driven care will improve CADENCE patient outcomes. We will test this hypothesis through the following aims: 1) create an interactive data dashboard for maternal, neonatal, and infant outcomes for pregnancies affected by OUD; 2) pilot the CADENCE program and rapidly refine using a data-driven approach.

Conditions

Interventions

Eligibility

Locations (1)

Outcomes