R01AG079295
Project Grant
Overview
Grant Description
The risks and consequences of a motor vehicle crash in older adults with Alzheimer's disease and related dementias - project summary.
Older adults with Alzheimer's disease (AD) and related dementia disorders are at increased risk of a motor vehicle crash due to impairment of the cognitive and sensory functions necessary for safe driving.1 Because there are few sources of long-term longitudinal data on dementia and motor vehicle crashes, and even fewer that include the prodromal stage of AD related dementia called mild cognitive impairment (MCI), very little is known about how the risk of a crash changes over the course of AD and how a crash may change the clinical course of disease.
Here, we propose to use a novel data source of Medicare insurance claims linked to licensing, citation, and crash data for more than 1.5 million older drivers over a 13-year period to evaluate longitudinal changes in the risk of a crash and changes in the trajectory of health, health care utilization, and long-term care assistance following a crash, among older drivers with AD.
The lack of information on the longitudinal risks and consequences of a crash among older adults with AD represents a critical gap in the literature for two reasons. First, research suggests that there is substantial individual variation in driving ability by stage of disease. While some individuals demonstrate a significant increase in unsafe driving behaviors early in the course of disease, before they are even diagnosed, others are able to drive safely with MCI through the mild to moderate stage of AD.2 As the number of older drivers with AD grows, providers and organizations that serve older adults are increasingly focused on developing interventions to promote "safe-mobility," allowing older adults to drive for as long as is safely possible. However, to be effective, interventions need to account for longitudinal changes in the risk of a crash over time, and how these trajectories may vary across individual characteristics.
Second, the effects of a crash can have long-lasting physical, psychological, and social consequences. Current studies have identified short-term effects of a crash,5 but no study has followed crash-involved drivers with AD for long enough to understand how the impact of a crash manifests over time. Individuals with AD are already at higher risk of comorbidity, hospitalization, and early transition to long-term care. Thus, given the rise in licensed drivers with AD, it is critical to understand how a crash may compound these risks.
A major barrier to identifying periods of high crash risk and the contributing factors is the lack of longitudinal data on motor vehicle crashes. Instead, most studies have evaluated individuals retrospectively at a particular stage of the disease or followed older adults for relatively short periods of time and without knowledge of their cognitive status, making it difficult to identify longitudinal patterns of crash risk.
Here, we propose to use 13 years of Medicare claims data linked to licensing, crash, and citations for all drivers with a license in New Jersey between 2007 and 2019 to (1) characterize the longitudinal trajectories of crash risk over time, (2) identify sentinel points in these trajectories where the risk of crash is highest and thus interventions would be most effective, and (3) evaluate the impact of a crash on the health and health care outcomes for cognitively impaired older drivers.
Older adults with Alzheimer's disease (AD) and related dementia disorders are at increased risk of a motor vehicle crash due to impairment of the cognitive and sensory functions necessary for safe driving.1 Because there are few sources of long-term longitudinal data on dementia and motor vehicle crashes, and even fewer that include the prodromal stage of AD related dementia called mild cognitive impairment (MCI), very little is known about how the risk of a crash changes over the course of AD and how a crash may change the clinical course of disease.
Here, we propose to use a novel data source of Medicare insurance claims linked to licensing, citation, and crash data for more than 1.5 million older drivers over a 13-year period to evaluate longitudinal changes in the risk of a crash and changes in the trajectory of health, health care utilization, and long-term care assistance following a crash, among older drivers with AD.
The lack of information on the longitudinal risks and consequences of a crash among older adults with AD represents a critical gap in the literature for two reasons. First, research suggests that there is substantial individual variation in driving ability by stage of disease. While some individuals demonstrate a significant increase in unsafe driving behaviors early in the course of disease, before they are even diagnosed, others are able to drive safely with MCI through the mild to moderate stage of AD.2 As the number of older drivers with AD grows, providers and organizations that serve older adults are increasingly focused on developing interventions to promote "safe-mobility," allowing older adults to drive for as long as is safely possible. However, to be effective, interventions need to account for longitudinal changes in the risk of a crash over time, and how these trajectories may vary across individual characteristics.
Second, the effects of a crash can have long-lasting physical, psychological, and social consequences. Current studies have identified short-term effects of a crash,5 but no study has followed crash-involved drivers with AD for long enough to understand how the impact of a crash manifests over time. Individuals with AD are already at higher risk of comorbidity, hospitalization, and early transition to long-term care. Thus, given the rise in licensed drivers with AD, it is critical to understand how a crash may compound these risks.
A major barrier to identifying periods of high crash risk and the contributing factors is the lack of longitudinal data on motor vehicle crashes. Instead, most studies have evaluated individuals retrospectively at a particular stage of the disease or followed older adults for relatively short periods of time and without knowledge of their cognitive status, making it difficult to identify longitudinal patterns of crash risk.
Here, we propose to use 13 years of Medicare claims data linked to licensing, crash, and citations for all drivers with a license in New Jersey between 2007 and 2019 to (1) characterize the longitudinal trajectories of crash risk over time, (2) identify sentinel points in these trajectories where the risk of crash is highest and thus interventions would be most effective, and (3) evaluate the impact of a crash on the health and health care outcomes for cognitively impaired older drivers.
Awardee
Funding Goals
TO ENCOURAGE BIOMEDICAL, SOCIAL, AND BEHAVIORAL RESEARCH AND RESEARCH TRAINING DIRECTED TOWARD GREATER UNDERSTANDING OF THE AGING PROCESS AND THE DISEASES, SPECIAL PROBLEMS, AND NEEDS OF PEOPLE AS THEY AGE. THE NATIONAL INSTITUTE ON AGING HAS ESTABLISHED PROGRAMS TO PURSUE THESE GOALS. THE DIVISION OF AGING BIOLOGY EMPHASIZES UNDERSTANDING THE BASIC BIOLOGICAL PROCESSES OF AGING. THE DIVISION OF GERIATRICS AND CLINICAL GERONTOLOGY SUPPORTS RESEARCH TO IMPROVE THE ABILITIES OF HEALTH CARE PRACTITIONERS TO RESPOND TO THE DISEASES AND OTHER CLINICAL PROBLEMS OF OLDER PEOPLE. THE DIVISION OF BEHAVIORAL AND SOCIAL RESEARCH SUPPORTS RESEARCH THAT WILL LEAD TO GREATER UNDERSTANDING OF THE SOCIAL, CULTURAL, ECONOMIC AND PSYCHOLOGICAL FACTORS THAT AFFECT BOTH THE PROCESS OF GROWING OLD AND THE PLACE OF OLDER PEOPLE IN SOCIETY. THE DIVISION OF NEUROSCIENCE FOSTERS RESEARCH CONCERNED WITH THE AGE-RELATED CHANGES IN THE NERVOUS SYSTEM AS WELL AS THE RELATED SENSORY, PERCEPTUAL, AND COGNITIVE PROCESSES ASSOCIATED WITH AGING AND HAS A SPECIAL EMPHASIS ON ALZHEIMER'S DISEASE. SMALL BUSINESS INNOVATION RESEARCH (SBIR) PROGRAM: TO EXPAND AND IMPROVE THE SBIR PROGRAM, TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT, TO INCREASE SMALL BUSINESS PARTICIPATION IN FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION OF SOCIALLY AND ECONOMICALLY DISADVANTAGED SMALL BUSINESS CONCERNS AND WOMEN-OWNED SMALL BUSINESS CONCERNS IN TECHNOLOGICAL INNOVATION. SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAM: TO STIMULATE AND FOSTER SCIENTIFIC AND TECHNOLOGICAL INNOVATION THROUGH COOPERATIVE RESEARCH DEVELOPMENT CARRIED OUT BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO FOSTER TECHNOLOGY TRANSFER BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION OF SOCIALLY AND ECONOMICALLY DISADVANTAGED SMALL BUSINESS CONCERNS AND WOMEN-OWNED SMALL BUSINESS CONCERNS IN TECHNOLOGICAL INNOVATION.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Providence,
Rhode Island
029034202
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 283% from $784,027 to $3,003,442.
Brown University was awarded
Longitudinal Crash Risk in Older Adults with AD & Dementia
Project Grant R01AG079295
worth $3,003,442
from National Institute on Aging in August 2022 with work to be completed primarily in Providence Rhode Island United States.
The grant
has a duration of 3 years 10 months and
was awarded through assistance program 93.866 Aging Research.
The Project Grant was awarded through grant opportunity Research on Current Topics in Alzheimer's Disease and Its Related Dementias (R01 Clinical Trial Optional).
Status
(Ongoing)
Last Modified 7/21/25
Period of Performance
8/15/22
Start Date
6/30/26
End Date
Funding Split
$3.0M
Federal Obligation
$0.0
Non-Federal Obligation
$3.0M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for R01AG079295
Transaction History
Modifications to R01AG079295
Additional Detail
Award ID FAIN
R01AG079295
SAI Number
R01AG079295-1047806100
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Private Institution Of Higher Education
Awarding Office
75NN00 NIH National Insitute on Aging
Funding Office
75NN00 NIH National Insitute on Aging
Awardee UEI
E3FDXZ6TBHW3
Awardee CAGE
23242
Performance District
RI-01
Senators
Sheldon Whitehouse
John Reed
John Reed
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| National Institute on Aging, National Institutes of Health, Health and Human Services (075-0843) | Health research and training | Grants, subsidies, and contributions (41.0) | $1,536,576 | 100% |
Modified: 7/21/25