In 2014, the MIND at Home team led by Dr. Quincy Samus received funding for two important research projects to further examine how new iterations of the MIND care coordination model can help address the increasing need to provide high quality and cost efficient care to persons with dementia living in the community and their informal caregivers.
CURRENT MIND AT HOME STUDIES
MIND Randomized Controlled Trial (RCT) is funded by the National Institute on Aging (NIA) (R01 AG046274). It is a $3.4 million, 5-year project testing a leaner, more targeted version of the MIND at Home model (called MIND-Streamlined) using a single blind, prospective RCT design and will involve 300 persons with dementia and their informal caregivers. This trial will estimate the impact of MIND-Streamlined on time to long term care placement and other patient and caregiver outcomes. It will also provide precision cost benefit estimates from a societal perspective, determine long term durability of the intervention’s impact, and identify whether the impact of MIND-Streamlined varies by patient characteristics.
Together, these complementary projects will serve to simultaneously advance science and health policy. If proved effective, the MIND at Home model may serve as a nationally scalable model with the potential to change how dementia care services are provided and coordinated at the community level.
MIND Demonstration Project was funded by a Health Care Innovation Award from the Centers for Medicare and Medicaid Services (CMS) (1C1CMS331332). It is a $6.4 million, 3-year project testing a more intensive version of MIND (called MIND-Plus) and involved 600 low income (Medicare-Medicaid dually eligible) older adults with dementia and their study partners. The goals of this project are to improve health outcomes for participants and to demonstrate substantial health care cost savings to Medicare and Medicaid. This project has also developed a web-based MIND at Home certification program for diffusion of this care coordination model to other locales and states, and is developing a blended, shared-savings payment model. Data analysis is underway; preliminary findings indicate that it is cost-effective and scalable, and that participants received more of their care in the community than in hospitals or institutions compared with matched controls.