Abstract
Care coordination occurring across multiple sectors of care, such as when professionals in health or social service organizations collaborate to transition patients from hospitals to community-based settings like homeless shelters, happens regularly in practice. While health services research is full of studies on the experiences of case management and care coordination professionals within health care settings, few studies highlight the perspective of nonclinical homeless service providers (HSPs) in coordinating care transitions. This study explores the experience of nonclinical HSPs, employed in a large homeless service agency in New York, United States, responsible for coordinating care transitions of patients presenting to a homeless shelter after hospitalization, with attention to COVID-19 impact. Semi-structured interviews were conducted with providers at three hierarchical levels (frontline, managerial, and executive). The data were analyzed using qualitative content analysis. The implementation science framework Normalization Process Theory was used to structure semi-deductive coding categories. The findings included three major themes that highlight promoting and inhibiting factors in care coordination, including a reliance on informal relationships, the impact of strong hierarchical structures, and a lack of collaborative cross-sector information exchange pathways. Altogether, findings offer insights from an infrequently studied professional group engaging in cross-sector care coordination for a high-risk population. Operational insights can inform future research to ensure that the implementation of interventions to improve cross-sector care coordination is evidence-based. This study of nonclinical HSPs facilitating care transitions demonstrates the importance of understanding this critical provider population. Opportunities for acute care case managers and administrators include the importance of relationships, reciprocal education on the differences in work settings, and the need for administrative structure to ensure complex clinical information is effectively translated.
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