Background: Co-management is a collaborative care model that consists of structured tools to define and document care delivered by 2 or more providers. We evaluated the impact of implementing co-management at the interface between pediatric primary care providers (PCPs) and subspecialists. Methods: Participating PCPs (n = 9) were trained on management of concussion using the co-management tools. Co-managed patients with concussion were prospectively enrolled (n = 148) and compared to a retrospective audit of non–co-managed patients (n = 50). Results: PCPs using co-management demonstrated adherence to the tools. PCPs were significantly more likely to provide follow-up care to patients when using the co-management tools. All participating PCPs reported that co-management enhanced their expertise in caring for patients with concussion. Conclusions: Co-management can enhance PCPs’ capacity to independently manage the care of patients with concussion. Co-management led to an observed change in practice that merits further exploration in terms of cost, quality, and clinical outcomes.
The Connecticut Newborn Screening (NBS) Network, in partnership with the Connecticut Department of Public Health, strategically utilized the Epic electronic health record (EHR) system to establish registries for tracking long-term follow-up (LTFU) of NBS patients. After launching the LTFU registry in 2019, the Network obtained funding from the Health Resources and Services Administration to address the slow adoption by specialty care teams. An LTFU model was implemented in the three highest-volume specialty care teams at Connecticut Children’s, involving an early childhood cohort diagnosed with an NBS-identified disorder since the formation of the Network in March 2019. This cohort grew from 87 to 115 over the two-year project. Methods included optimizing registries, capturing external data from Health Information Exchanges, incorporating evidence-based guidelines, and conducting qualitative and quantitative evaluations. The early childhood cohort demonstrated significant and sustainable improvements in the percentage of visits up-to-date (%UTD) compared to the non-intervention legacy cohort of patients diagnosed with an NBS disorder before the formation of the Network. Positive trends in the early childhood cohort, including %UTD for visits and condition-specific performance metrics, were observed. The qualitative evaluation highlighted the achievability of practice behavior changes for specialty care teams through responsive support from the nurse analyst. The Network’s model serves as a use case for applying and achieving the adoption of population health tools within an EHR system to track care delivery and quickly fill identified care gaps, with the aim of improving long-term health for NBS patients.