Social and Behavioral Sciences Commons^™

Care Transitions From Patient And Caregiver Perspectives, Suzanne E. Mitchell, Vivian Laurens, Gabriela M. Weigel, Karen B. Hirschman, Allison M. Scott, Huong Q. Nguyen, Jessica Martin Howard, Lance Laird, Carol Levine, Terry C. Davis, Brianna Gass, Elizabeth Shaid, Jing Li, Mark V. Williams, Brian W. Jack

Communication Faculty Publications

PURPOSE: Despite concerted actions to streamline care transitions, the journey from hospital to home remains hazardous for patients and caregivers. Remarkably little is known about the patient and caregiver experience during care transitions, the services they need, or the outcomes they value. The aims of this study were to (1) describe patient and caregiver experiences during care transitions and (2) characterize patient and caregiver desired outcomes of care transitions and the health services associated with them.

METHODS: We interviewed 138 patients and 110 family caregivers recruited from 6 health networks across the United States. We conducted 34 homogenous focus groups …

Learning From Network Analysis: Care Transitions, Market Competition, & Community Interventions, Glen P. Mays

Health Management and Policy Presentations

The increasingly connected world of health care delivery relies on an expanding frontier of multi-stakeholder structures and processes, from interdisciplinary patient-centered care teams, to virtual accountable care organizations (ACOs), to complex community-level interventions. This methods workshop highlights recent advances in applying social network analysis (SNA) methods to study the implementation and impact of these types of innovations. This session will examine the benefits and limits of novel SNA applications based on the expanding availability of large, linkable electronic clinical and administrative data sources with dependent data structures.

Learning From Networks: Care Transitions, Market Competition, & Community Interventions, Glen P. Mays

Health Management and Policy Presentations

Social network analysis methods offer many avenues of inquiry for studying new developments in health policy and health care delivery. The expanding availability of large linkable electronic clinical and administrative data sources allows for novel SNA applications with dependent data structures. Opportunities include the study of delivery patterns within accountable care organizations (ACOs), and other multi-provider networks, price and quality competition within new health insurance exchanges, and population health effects attributable to complex community-level interventions.