Can a Home-Based Collaborative Care Model Reduce Health Services Utilization for Older Medicaid Beneficiaries Living with Depression and Co-occurring Chronic Conditions? A Quasi-experimental Study.

Depression remains a major public health issue for older adults, increasing risk of costly health services utilization. While home-based collaborative care models (CCM) like PEARLS have been shown to effectively treat depression in low-income older adults living with multiple chronic conditions, their economic impact is unclear. We conducted a quasi-experimental study to estimate PEARLS effect on health service utilization among low-income older adults. Our secondary data analysis merged de-identified PEARLS program data (N = 1106), home and community-based services (HCBS) administrative data (N = 16,096), and Medicaid claims and encounters data (N = 164) from 2011 to 2016 in Washington State. We used nearest neighbor propensity matching to create a comparison group of social service recipients similar to PEARLS participants on key determinants of utilization guided by Andersen's Model. Primary outcomes were inpatient hospitalizations, emergency room (ER) visits, and nursing home days; secondary outcomes were long-term supports and services (LTSS), mortality, depression and health. We used an event study difference-in-difference (DID) approach to compare outcomes. Our final dataset included 164 older adults (74% female, 39% people of color, mean PHQ-9 12.2). One-year post-enrollment, PEARLS participants had statistically significant improvements in inpatient hospitalizations (69 fewer hospitalizations per 1000 member months, p = 0.02) and 37 fewer nursing home days (p < 0.01) than comparison group participants; there were no significant improvements in ER visits. PEARLS participants also experienced lower mortality. This study shows the potential value of home-based CCM for participants, organizations and policymakers. Future research is needed to examine potential cost savings.

eHealth promotion and social innovation with youth: using social and visual media to engage diverse communities.

Social media and the multimedia networks that they support provide a platform for engaging youth and young adults across diverse contexts in a manner that supports different forms of creative expression. Drawing on more than 15 years of experience using eHealth promotion strategies to youth engagement, the Youth Voices Research Group (YVRG) and its partners have created novel opportunities for young people to explore health topics ranging from tobacco use, food security, mental health, to navigation of health services. Through applying systems and design thinking, the YVRG approach to engaging youth will be presented using examples from its research and practice that combine social organizing with arts-informed methods for creative expression using information technology. This presentation focuses on the way in which the YVRG has introduced interactive blogging, photographic elicitation, and video documentaries, alongside real-world social action projects, to promote youth health and to assist in research and evaluation. Opportunities and barriers including literacy and access to technology are discussed and presented along with emerging areas of research including more effective use of smartphones and social networking platforms such as Twitter, Facebook, and YouTube in health promotion and public health.

Designing health innovation networks using complexity science and systems thinking: the CoNEKTR model.

RATIONALE, AIMS AND OBJECTIVES: Complex problems require strategies to engage diverse perspectives in a focused, flexible manner, yet few options exist that fit with the current health care and public health system constraints. The Complex Network Electronic Knowledge Translation Research model (CoNEKTR) brings together complexity science, design thinking, social learning theories, systems thinking and eHealth technologies together to support a sustained engagement strategy for social innovation support and enhancing knowledge integration. METHODS: The CoNEKTR model adapts elements of other face-to-face social organizing methods and combines it with social media and electronic networking tools to create a strategy for idea generation, refinement and social action. Drawing on complexity science, a series of networking and dialogue-enhancing activities are employed to bring diverse groups together, facilitate dialogue and create networks of networks. RESULTS: Ten steps and five core processes informed by complexity science have been developed through this model. Concepts such as emergence, attractors and feedback play an important role in facilitating networking among participants in the model. CONCLUSIONS: Using a constrained, focused approach informed by complexity science and using information technology, the CoNEKTR model holds promise as a means to enhance system capacity for knowledge generation, learning and action while working within the limitations faced by busy health professionals.