# Core C - Measurement and Methods in ADRD and Racial Disparities Research

> **NIH NIH P01** · NATIONAL BUREAU OF ECONOMIC RESEARCH · 2024 · $420,804

## Abstract

OTHER PROJECT INFORMATION – Project Summary/Abstract
Core C – Measurement and Methods in ADRD and Racial Disparities Research
The primary goals of the Measurement and Methods Core are first to advance the science of measuring ADRD
symptoms and diagnosis, stages or severity of dementia, and cognitive impairment in CMS and other databases;
second to advance the science of identifying patient, and to some extent provider race and ethnicity in these
data; and third to identify and link likely cohabitating caregivers in these data. The proposed Core C workplan
progresses from applying current best practices in year 1 to the continuing development of expert-informed state-
of-the-art measurement improvements in subsequent years. These methods and measures are developed in
Core C, and then applied to the NBER’s CMS databases in Core B. In collaboration with Core A, we also plan a
series of meetings and workshops, first to insert practical ADRD care experience including a community advisory
panel, into the ADRD measurement work of Core C and the empirical analytics of the research projects, and
second to share the methods and measurement innovations of Core C with the wider research community.

## Key facts

- **NIH application ID:** 10934397
- **Project number:** 2P01AG005842-35A1
- **Recipient organization:** NATIONAL BUREAU OF ECONOMIC RESEARCH
- **Principal Investigator:** KOSALI ILAYPERUMA SIMON
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $420,804
- **Award type:** 2
- **Project period:** 1997-02-01 → 2029-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10934397

## Citation

> US National Institutes of Health, RePORTER application 10934397, Core C - Measurement and Methods in ADRD and Racial Disparities Research (2P01AG005842-35A1). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10934397. Licensed CC0.

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