November 1, 2026 Continue reading
Technical Data
Home Time as a Patient-Centered Outcome in Pragmatic Trials: Promise, Pitfalls, and the Path Forward
Professor, Division of Geriatric Medicine and Director, UNC Palliative Care Program, University of North Carolina School of Medicine
Claire Ankuda, MD, MPH
Associate Professor, Icahn School of Medicine at Mount Sinai
Associate Director of Marcus Institute for Aging Research, Associate Professor of Medicine, Harvard Medical School
Courtney Van Houtven, PhD
Professor, Population Health Sciences, Duke University School of Medicine and Duke-Margolis Institute for Health Policy
Learning Objectives
- Understand the concept of home time as a patient‑centered, system‑relevant outcome measure and how it is operationalized across different clinical contexts.
- Recognize the limitations, measurement challenges, and equity concerns associated with using home time as an outcome or performance metric in pragmatic clinical trials.
- Reflect on emerging evidence and future directions for developing more person‑centered home time measures that better capture quality of life for older adults and caregivers.
NORC Dementia DataHub
The Dementia DataHub (R01 AG075730), created by NORC at the University of Chicago, provides interactive dashboards and maps to view dementia diagnoses among Medicare beneficiaries, with results available at the national, state, and county levels. NORC Dementia DataHub uses the term “dementia” to refer broadly to Alzheimer’s disease dementia and Alzheimer’s disease related dementias (AD/ADRD) and other diagnoses that are sometimes used to indicate these conditions.
Bynum and team publish findings from research into geographic disparities in Alzheimer’s disease diagnosis
Congratulations to Julie Bynum, MD, MPH from the University of Michigan‘s Institute for Healthcare Policy and Innovation and the team for their newest research findings reflecting the disparities in Alzheimer’s disease diagnosis based on geographic location!
Highlights from the research:
- The rate of new Alzheimer’s disease and related dementias (ADRD) case identification varies geographically across the United States.
- Variation in case identification is greatest in Black, Hispanic, and young-old groups.
- Intensity of diagnosis (i.e., case identification) unrelated to population risk differs across place.
- Likelihood of receiving an ADRD diagnosis varies 2-fold based on place of residence.
Read the full article to learn more about their insightful findings: https://doi.org/10.1002/alz.14092
Diagnosed Dementia in Medicare: Benchmarking for Study Planning and Equity
March 2024 – In Grand Rounds 45, Dr. Bynum shares the pros and cons of using healthcare-generated data, such as Medicare Fee-for-Service and Medicare Advantage, to identify people living with Alzheimer's disease and related dementias (ADRD), as well as the use of population benchmarks in study planning and integrating health equity.
Speaker
Margaret Terpenning Collegiate Professor of Internal Medicine
Division of Geriatric & Palliative Medicine
University of Michigan
Learning Objectives
- Identify strengths & challenges when using Medicare data for participant identification
- Understand characteristics of diagnosed dementia cases across place
- Consider value of using population benchmarks for planning and equity