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.
This MEPS dataset (2015–2019) links dementia diagnoses to healthcare spending, demographics, and utilization, enabling national estimates with supporting files and scripts.
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.
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.
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.
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 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.
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