Dementia is a complex terminal disease that involves cognitive and functional declines and behavioral symptoms. Currently over five million Americans suffer from dementia. As the population ages over the next 25 years the number of individuals with dementia will increase to 13 million placing unprecedented economic burden on families and society. Dementia also represents the greatest cause of disease burden. The annual economic burden of the disease is between $41,000 - $56,000 per person, or $215 billion nationwide. Planning for the growth in number of dementia cases will require better economic projections and effective policy. Previous studies of the economic burden of dementia were based only on cognitive impairment and were not able to evaluate the economic impact of treatments that address behavioral symptoms. Including functional dependence and behavioral symptoms helps to capture the full scope of disease severity. This study overcomes these limitations by using microsimulation methods to inform decision makers as to how direct costs (i.e., Medicare, Medicaid, and out-of-pocket spending), and indirect costs (i.e., informal caregiving costs) are accumulated over the course of the disease, how costs differ by race, and how cognition, function, and behavior impact costs. I will use the Aging Demographics and Memory Study, which links to Medicare data, to estimate costs attributable to cognition, function, and behavior. Data from the National Alzheimer's Coordinating Center will be used to estimate disease trajectories.
The specific aims are to: 1) evaluate the independent contributions of cognitive, and functional declines, and behavioral symptoms of individuals with dementia to the direct and indirect costs of dementia. 2) To evaluate how costs accumulate over the course of an individual's dementia and project cost on a population level over 25 years overall and by race (African Americans and whites) using a microsimulation approach. Longitudinal trajectories of cognition, function, and behavior, and cost estimates derived from Aim 1 will be incorporated as inputs into the model. United States Census and prevalence data from the Aging Demographics and Memory Study will be used to extrapolate results on a population level. 3) Evaluate the potential cost savings to Medicare, Medicaid, and individuals (African Americans and whites), from implementing non-pharmacologic interventions that address behavioral symptoms using a microsimulation model. This study addresses the goals of the Agency for Healthcare Research and Quality (AHRQ), focuses on key priority populations (the elderly and African Americans) of AHRQ, and fits within the value-portfolio of AHRQ by improving value and efficacy of dementia care. This study is also responsive to the National Plan to Address Alzheimer's Disease by accurately accounting for dementia-related costs. The results will help to guide Medicare/Medicaid projections of future expenditures, help families understand out-of-pocket expenditures for dementia care, and inform policy makers of savings from non-pharmacological interventions.

Public Health Relevance

Accurately accounting and projecting the cost of dementia is crucial for developing effective policy and planning for future Medicare, Medicaid, and out-of-pocket spending. Novel microsimulation methods to project dementia costs over the next 25 years, evaluate how costs accumulate over the course of the disease overall and by race, and evaluate the economic impact of non-pharmacologic treatments to reduce behavioral symptoms. This research improves on prior economic analyses by evaluating the relative impact of cognitive function, functional ability, and behavioral symptoms to cost throughout the course of the disease and models the impact of non-pharmacologic behavioral programs on cost.

Agency
National Institute of Health (NIH)
Institute
Agency for Healthcare Research and Quality (AHRQ)
Type
Dissertation Award (R36)
Project #
1R36HS024165-01
Application #
8959478
Study Section
HSR Health Care Research Training SS (HCRT)
Program Officer
Stuppard, Greg
Project Start
2015-09-01
Project End
2016-11-30
Budget Start
2015-09-01
Budget End
2016-11-30
Support Year
1
Fiscal Year
2015
Total Cost
Indirect Cost
Name
University of Minnesota Twin Cities
Department
Public Health & Prev Medicine
Type
Schools of Public Health
DUNS #
555917996
City
Minneapolis
State
MN
Country
United States
Zip Code
55455
Jutkowitz, Eric; Kuntz, Karen M; Dowd, Bryan et al. (2017) Effects of cognition, function, and behavioral and psychological symptoms on out-of-pocket medical and nursing home expenditures and time spent caregiving for persons with dementia. Alzheimers Dement 13:801-809
Jutkowitz, Eric; MacLehose, Richard F; Gaugler, Joseph E et al. (2017) Risk Factors Associated With Cognitive, Functional, and Behavioral Trajectories of Newly Diagnosed Dementia Patients. J Gerontol A Biol Sci Med Sci 72:251-258
Jutkowitz, Eric; Kane, Robert L; Gaugler, Joseph E et al. (2017) Societal and Family Lifetime Cost of Dementia: Implications for Policy. J Am Geriatr Soc 65:2169-2175
Jutkowitz, Eric; Kane, Robert L; Dowd, Bryan et al. (2017) Effects of Cognition, Function, and Behavioral and Psychological Symptoms on Medicare Expenditures and Health Care Utilization for Persons With Dementia. J Gerontol A Biol Sci Med Sci 72:818-824