# EQUITY IN ACCESS TO ALZHEIMER'S DISEASE PHARMACOLOGIC TREATMENT FOR AFRICAN AMERICAN AND WHITE PATIENTS IN ALABAMA  A MIXED METHODS STUDY TO INFORM RECOMMENDATIONS EquAAL

> **NIH NIH R61** · UNIVERSITY OF ALABAMA AT BIRMINGHAM · 2024 · $297,000

## Abstract

PROJECT SUMMARY
New disease modifying drugs, like lecanemab, if used equitably across populations disproportionately affected by
Alzheimer’s disease (AD), like African Americans (AAs), could potentially reduce AD outcome disparities. However, these
drugs are expensive, require costly clinician assessment and brain imaging to determine eligibility, and are administered
by intravenous infusion: these features can be challenging for patients of economically disadvantaged states like
Alabama. To understand how to deliver new drugs equitably in this state, there is an urgent need to understand: 1)
access to care challenges that contribute to the full cost of new drugs, i.e., cost that includes copayments for drugs,
specialist visits and imaging, travel and productivity losses of clinic-based treatment, etc; 2) perceived value of new
drugs, and 3) overall costs and benefits of new drugs, for AA and white AD patients. The objective of this project is to
address these knowledge gaps by conducting a mixed methods study and develop an economic analysis for estimating
long-term costs and benefits of AD new drugs for AA and white older adults in AL. In a R61 planning phase (Year 1), we
will conduct qualitative analyses to understand challenges of AD patients in 5 domains of access to care: Availability,
e.g., of specialists, infusion clinics, imaging; Accessibility i.e., how easy it is to reach such medical resources; Affordability
of drugs, specialist visits, imaging; Accommodation, i.e., how easy it is to use medical resources; and Acceptability, i.e.,
perceived benefits and side effects of new drugs, and preferences for treatment attributes including costs. These
analyses will inform framing of the economic analysis, i.e., defining the analysis perspectives and costs and benefits to
include under them. We will then develop a Markov model based on published models and set up data collection for its
inputs. In the R33 phase (Years 2-5), we will collect model inputs using a survey of 240 patients and/or caregivers
exposed to new (N = 80) and traditional AD drugs, and collecting medical records for 120 patients who had visits with
specialists (neurologists, psychiatrists, or geriatricians). Other inputs will be collected from the literature and public
sources. We will obtain base case estimates of costs and benefits for AA and white AL populations, and run extensive
sensitivity analyses to evaluate the robustness of results and the health equity impact of new drugs. This work will occur
under the guidance of a Patient&Caregiver and Provider Advisory Board (PPAB) to reflect the voice and relevant contexts
of patients, caregivers, and providers in our findings. The PPAB will also help us define hypothetical interventions to
enhance equity in new drug use, for which we will use the economic model to examine their cost-effectiveness. Lastly,
we will work with the PPAB to summarize results and develop recommendations for equitable delivery of new drugs in
AL to di...

## Key facts

- **NIH application ID:** 10976201
- **Project number:** 1R61AG088966-01
- **Recipient organization:** UNIVERSITY OF ALABAMA AT BIRMINGHAM
- **Principal Investigator:** MARIA PISU
- **Activity code:** R61 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $297,000
- **Award type:** 1
- **Project period:** 2024-08-15 → 2025-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10976201

## Citation

> US National Institutes of Health, RePORTER application 10976201, EQUITY IN ACCESS TO ALZHEIMER'S DISEASE PHARMACOLOGIC TREATMENT FOR AFRICAN AMERICAN AND WHITE PATIENTS IN ALABAMA  A MIXED METHODS STUDY TO INFORM RECOMMENDATIONS EquAAL (1R61AG088966-01). Retrieved via AI Analytics 2026-06-12 from https://api.ai-analytics.org/grant/nih/10976201. Licensed CC0.

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