Identifying Cognitive Difficulty among Middle Eastern and North African (MENA) Americans
A conversation with Tiffany Kindratt, PhD, MPH on the challenge in categorizing sociodemographic characteristics when looking at health outcomes.
Behavioral Risk Factor Surveillance System (BRFSS) for Dementia Researchers
This resource offers harmonized BRFSS data to support research on cognitive functioning and caregiving. The datasets are organized with consistent variables and documentation to enable analysis across years and states, with downloadable data files and supporting materials for research use.
Medical Expenditure Panel Survey (MEPS) for Dementia Researchers
This MEPS dataset (2015–2019) links dementia diagnoses to healthcare spending, demographics, and utilization, enabling national estimates with supporting files and scripts.
National Health Interview Survey (NHIS) for Dementia Researchers
This project compiles twelve annual NHIS datasets (2007–2018) identifying respondents with self-reported memory issues, including sociodemographic and cognition variables. The repository provides detailed descriptions, data files, codebooks, and programming scripts.
National Health and Nutrition Examination Survey (NHANES) for Dementia Researchers
Code and datasets for cognitive decline and Alzheimer’s research using NHANES data (2011–12, 2013–14). Includes standardized cognition variables from CERAD, Animal Fluency, and DSST tests, along with sociodemographic data, available in SAS, Stata, and CSV formats.
National Hospital Ambulatory Medical Care Survey (NHAMCS)
Using 2014–2019 NHAMCS data, this study identifies emergency visits where patients were diagnosed with or had ADRD. The datasets also include information on the reason for visit and sociodemographic characteristics.
NIA IMPACT Collaboratory
This dataset reports 2019 Medicare claims, events, and beneficiary counts in hospitals, EDs, and SNFs, comparing those with and without ADRD. Data are available at the facility level in SAS, Stata, and CSV formats.
The Bynum-Standard 1-Year Algorithm
The Bynum-Standard 1-Year Algorithm is a decision-making framework designed to evaluate and optimize short-term strategies or actions over a one-year timeframe, prioritizing efficiency and measurable outcomes.
Lancet Commission adds ‘Vision Impairment’ to Dementia Model based on research by CAPRA Pilot Awardee Josh Ehrlich
The Lancet Commission has recently updated its life-course model of modifiable dementia risk factors to include vision impairment, based on research led by Dr. Joshua Ehrlich, MD, MPH.
Julie Bynum featured on CNN and NPR for research on regional distribution of Alzheimer’s disease
Articles explore how regional disparities in Alzheimer’s diagnosis emphasize the need for equitable healthcare access and standardized care across the U.S.