Our primary objective is to investigate underlying mechanisms of elder mistreatment (EM) in people with Alzheimer?s Disease and related dementias (ADRD). Applying the Abuse Intervention Model, we will identify EM risk and protective factors among older adults with ADRD (potential victim), their trusted other (potential perpetrator), and their context to inform the creation of evidence-informed risk assessment tools, interventions, detection/diagnosis algorithms, and care plans for older adults with ADRD and their caregivers.
Aim 1. Measure EM and track risk factors in people with ADRD and their caregivers. This cohort (target N=200 dyads), drawn from ADRD-specific clinical/research sites, will be tracked longitudinally for 18 months, with assessment every six months. EM incidence will be measured at each assessment by older adult and primary caregiver self-report and interviewer observation. In-home assessments will also collect data on characteristics of the vulnerable older adult, trusted other, and context. Survey and observation data will be linked to detailed clinical data from clinical/research sites. When possible, study data will also be linked to County electronic health records (EHRs) to identify risk and protective factors and adjust for confounding variables.
Aim 2. Explore how the caregiver experience contributes to EM in people with ADRD. We will utilize a mixed method, sequential explanatory approach to prospectively study caregivers of people with ADRD to detect characteristics and antecedents of EM. Drawn from a sub-sample of Aim 1 cohort caregivers (target n=50), subjects will: (1) adopt wearable technology to track their activity, heart rate/heart rate variability, and sleeping patterns; (2) provide information about their social and instrumental support network via a CareMap; and (3) engage in an open-ended interview. These data will be linked to data collected under Aim 1 to determine the impact on persons who may be found to exhibit abusive/neglectful behavior, setting the stage for testing interventions to promote resiliency, enhance protective factors, and minimize risk factors.
Aim 3. Identify electronic health record (EHR)-based indicators of EM in people with ADRD. EHRs from the County will be used to compare patients with ADRD who are identified as victims of EM with ADRD patients who are not reported as victims of EM, using one-to-many propensity score matching based on demographics, health status, and health service utilization. Analyses will explore the feasibility of using data from patient EHRs to distinguish between the abused and non-abused ADRD patient groups, including examination of exam-derived diagnostic codes (e.g., specific bruises and lesions)6 and laboratory markers (e.g., changes in creatinine, lymphocyte level),7 as pathognomonic markers or indicators of EM.
These aims offer a novel approach to identify mechanisms and causes of EM in people with ADRD, to aid in developing risk assessment tools and interventions to minimize risk, enhance protection, and promote resiliency.

Public Health Relevance

Elder mistreatment affects approximately one in ten older adults, with consequences for health outcomes including psychosocial distress, morbidity, and mortality, thus making it one of the most pressing public health problems for older adults in the U.S. Through the proposed study, we will enlist an interdisciplinary team of established researchers to investigate the underlying mechanisms that lead to elder mistreatment among individuals with Alzheimer?s Disease and related dementias. By identifying risk and protective factors, which will lead to the creation of risk assessment tools, interventions, detection/diagnosis algorithms, and care plans, we can begin to address the growing yet largely ignored public health problem of elder mistreatment.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
1R01AG060096-01
Application #
9589799
Study Section
Special Emphasis Panel (ZAG1)
Program Officer
Gerald, Melissa S
Project Start
2018-08-15
Project End
2023-03-31
Budget Start
2018-08-15
Budget End
2019-03-31
Support Year
1
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of Southern California
Department
Family Medicine
Type
Schools of Medicine
DUNS #
072933393
City
Los Angeles
State
CA
Country
United States
Zip Code
90089