A promising strategy for helping adults with serious mental illness gain access to appropriate primary and preventive medical services is to integrate those services into a setting in which the population already receives care.
This study will use a combination of observational quantitative and qualitative methods to rigorously measure the health and healthcare utilization outcomes of the University of Arizona Integrative Health Center (UAIHC), an IM adult primary care clinic in Phoenix, Arizona.
People with serious mental illness suffer more chronic health problems and die earlier than others. Research suggests that the solution may lie in integrated care — the coordination of mental health, substance abuse, and primary care services. Join us as we learn about this innovative approach.
Many people believe the benefits of complementary and integrative medicine (CIM) exceed its costs; total US out-of-pocket expenditures for CIM are estimated at $34B—11% of all US out-of-pocket healthcare expenditures. If CIM is to be considered in broader healthcare strategies, its economic impact must be determined.
The objective of this study was to apply a sensitivity analysis to demonstrate how the results of a systematic review of IM and IHC will differ according to what inclusion criteria is used based on the definition of IM/IHC.
On July 18, 2012, Ian Coulter, who holds the Samueli Institute Chair in Policy for Integrative Medicine at RAND, was joined by fellow experts in complementary and alternative medicine (CAM) to discuss patient use of CAM and how hospitals, universities, and the U.S. military are integrating CAM into traditional medical practices throughout the United States.
Complementary alternative medicine (CAM) and integrative medicine (IM) represent non-traditional approaches to health care practice that have become increasingly popular in the United States and throughout the world.
Lack of definition and clarity about the term integrative medicine (also known as integrative health care) and the absence of taxonomy for models of IM make it difficult to efficiently conduct systematic reviews of the literature in this field.