Comparing Lookback Periods to Ascertain Alzheimer’s Disease and Related Dementias

Zachary J. Kunicki, Thomas Bayer, Lan Jiang, Melanie L. Bozzay, McKenzie J. Quinn, Alyssa N. De Vito, Sheina Emrani, Sebhat Erqou, John E. McGeary, Andrew R. Zullo, Matthew S. Duprey, Mriganka Singh, Jennifer M. Primack, Catherine M. Kelso, Wen Chih Wu, James L. Rudolph

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Claims data are a valuable resource for studying Alzheimer’s disease and related dementias (ADRD). Alzheimer’s disease and related dementias is often identified using a list of claims codes and a fixed lookback period of 3 years of data. However, a 1-year lookback or an approach using all-available lookback data could be beneficial based on different research questions. Thus, the purpose of this study was to compare 1-year and all-available lookback approaches to ascertaining ADRD compared to the standard 3-year approach. Using a cohort of Veterans hospitalized for heart failure (N = 373, 897), our results suggested high agreement (93% or greater) between the lookback periods. The 1-year lookback period had lower sensitivity (60%) and underestimated the prevalence of ADRD. These results suggest that 1-year and all-available lookback periods are viable approaches when using claims data.

Original languageEnglish
JournalAmerican Journal of Alzheimer's Disease and other Dementias
Volume38
DOIs
StatePublished - Jan 1 2023

Bibliographical note

Publisher Copyright:
© The Author(s) 2023.

Keywords

  • alzheimer disease
  • claims data
  • diagnostic algorithms
  • lookback periods
  • veterans

ASJC Scopus subject areas

  • General Neuroscience
  • Clinical Psychology
  • Geriatrics and Gerontology
  • Psychiatry and Mental health

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