Care coordination in primary care: mapping the territory.

OBJECTIVE: To document the current approaches to care coordination among different types of care systems in Minnesota. STUDY DESIGN: Observational survey of leaders of most of the care systems in Minnesota that have implemented care coordination. METHODS: Survey questions about organizational structure, size, and approach to care coordination were sent to the leaders of 42 care systems with a total of 327 primary care clinics. RESULTS: Surveys were completed by leaders at every care system participating in this study (100% response rate); 16 small care systems (each with 1-2 clinics) had a total of 26 primary care clinics, 15 medium care systems (3-9 clinics) had 57 clinics, and 11 large care systems (> 9 clinics) had 244 clinics. The large care systems had larger clinics (clinicians per clinic, 8.6 in large vs 4.3 in small and 5.2 in medium; P = .03) and more clinicians per care coordinator (5.7 vs 3.3 and 4.0; P = .04). They also more frequently included a social worker in their care coordination team: 82% vs 25% of small and 40% of medium care systems (P = .01). However, the services provided and complexity tools used were similar. Nearly all reported addressing both medical and social needs for their complex patients with multiple chronic conditions. CONCLUSIONS: Although there are large differences in resources and capabilities between large and small care systems, they were not associated with much difference in the approach taken to care coordination. This map of the care coordination territory in Minnesota has the potential to be valuable to researchers and care system leaders for understanding current implementation trends and directing further evaluations.

The Impact of COVID-19 on Patients Receiving Care Coordination in Primary Care: A Qualitative Study.

INTRODUCTION: Care coordination addresses the needs of patients with complex chronic illness and psychosocial issues, coordinating their care and social needs. It is not known how such patients receiving these services managed during the COVID-19 pandemic. The objective of this study was to learn how the health, health care, social needs, and finances of patients receiving care coordination were affected by the disruptions caused by the COVID-19 pandemic. METHOD: We conducted semistructured interviews with 19 patients receiving care coordination in primary care across a statewide sample about how the COVID-19 pandemic affected their life in general, including their overall health, social connections, finances and employment, and mental health. A content analysis approach was applied in the data analysis. RESULTS: We identified 4 primary themes in patient interviews including: (1) patients reported few to no impacts on their physical health status or health care services; (2) patients felt disconnected from family, friends, and community in ways that affected their mental health and wellbeing; (3) there were little to no pandemic related impacts for those on fixed incomes or government supports; and (4) care coordinators provided a significant and reliable source of help, support, and comfort. CONCLUSIONS: Care coordination provided a supporting framework for the health and the health care needs of these patients, helping them navigate resources and maintain their physical health during the pandemic. Care coordinators were seen as providing needed communication, connection, and support that was especially needed during a time of social isolation and disconnection.

Pediatric Care Coordination: Lessons Learned and Future Priorities.

A fundamental component of the medical home model is care coordination. In Minnesota, this model informed design and implementation of the state's health care home (HCH) model, a key element of statewide healthcare reform legislation. Children with medical complexity (CMC) often require care from multiple specialists and community resources. Coordinating this multi-faceted care within the HCH is challenging. This article describes the need for specialized models of care coordination for CMC. Two models of care coordination for CMC were developed to address this challenge. The TeleFamilies Model of Pediatric Care Coordination uses an advanced practice registered nurse care (APRN) coordinator embedded within an established HCH. The PRoSPer Model of Pediatric Care Coordination uses a registered nurse/social worker care coordinator team embedded within a specialty care system. We describe key findings from implementation of these models, and conclude with lessons learned. Replication of the models is encouraged to increase the evidence base for care coordination for the growing population of children with medical complexities.