A Mixed Methods Evaluation of a Quality Improvement Model to Optimize Perinatal and Primary Care in the Community Health Setting.

PURPOSE: Many maternal deaths occur beyond the acute birth encounter. There are opportunities for improving maternal health outcomes through facilitated quality improvement efforts in community settings, particularly in the postpartum period. We used a mixed methods approach to evaluate a collaborative quality improvement (QI) model in 6 Chicago Federally Qualified Health Centers (FQHCs) that implemented workflows optimizing care continuity in the extended postpartum period for high-risk prenatal patients. METHODS: The Quality Improvement Learning Collaborative focused on the implementation of a registry of high-risk prenatal patients to link them to primary care and was implemented in 2021; study data were collected in 2021-2022. We conducted a quantitative evaluation of FQHC-reported aggregate structure, process, and outcomes data at baseline (2020) and monthly (2021). Qualitative analysis of semistructured interviews of participating FQHC staff focused on the experience of participating in the collaborative. RESULTS: At baseline, none of the 6 participating FQHCs had integrated workflows connecting high-risk prenatal patients to primary care; by the end of implementation of the QI intervention, such workflows had been implemented at 19 sites across all 6 FQHCs, and 54 staff were trained in using these workflows. The share of high-risk patients transitioned to primary care within 6 months of delivery significantly increased from 25% at baseline to 72% by the end of implementation. Qualitative analysis of interviews with 11 key informants revealed buy-in, intervention flexibility, and collaboration as facilitators of successful engagement, and staffing and data infrastructure as participation barriers. CONCLUSIONS: Our findings show that a flexible and collaborative QI approach in the FQHC setting can help optimize care delivery. Future evaluations should incorporate the patient experience and patient-level data for comprehensive analysis.

Predicting Postpartum Transition to Primary Care in Community Health Centers.

INTRODUCTION: Although the transition to primary care after routine postpartum care has been recommended to mitigate adverse maternal outcomes, little is known about real-world transition patterns. The objective of this study was to describe the patterns and predictors of transition in a postpartum cohort receiving care at federally qualified health centers and a subcohort of clinically high-risk patients. METHODS: Electronic health record data collected between 2017 and 2019 were analyzed in 2021 for unadjusted analyses and multivariable regression models for both the full and high-risk cohorts. The primary outcome was completion of a primary care visit within 6 months of delivery. Primary predictors in both cohorts were insurance loss, postpartum visit, first-trimester visit, and medical visit within the year prepregnancy; for the full cohort, high-risk status was also studied. RESULTS: The full cohort (N=7,926) analysis showed that 17.3% completed a primary care visit. In unadjusted and adjusted analysis, all 5 predictors were significantly associated with primary care visit completion; 25.0% of high-risk patients completed a primary care visit, and patients who lost insurance had 66% lower odds of primary care visit completion (95% CI=0.24, 0.48). In unadjusted and adjusted analysis for the high-risk cohort (n=1,956, 24.7% of full cohort), all predictors except postpartum visit were significantly associated with primary care visit completion. CONCLUSIONS: Postpartum patients at federally qualified health centers transitioned to primary care at low rates; insurance loss was one significant barrier to care. Strategies to increase continuity, including improving insurance access, should be studied. Future research is needed to study structural inequity, the impact of primary care on maternal outcomes, and patient experience.