Cognitive measures lacking in EHR prior to dementia or Alzheimer's disease diagnosis. Issue 7 (3rd March 2021)

• Record Type: Journal Article
• Authors: Maserejian, Nancy; Krzywy, Henry; Eaton, Susan; Galvin, James E.
• Is Part Of: Alzheimer's & dementia. Volume 17:Issue 7(2021)
• Page Start: 1231
• Page End: 1243
• Publication Date: 2021-03-03
• Subjects: Alzheimer's disease -- dementia -- electronic health records -- electronic medical records -- healthcare disparities -- mild cognitive impairment -- Mini‐Mental State Examination -- neurocognitive tests; Alzheimer's disease -- Periodicals; Alzheimer Disease -- Periodicals; Dementia -- Periodicals; Démence; Maladie d'Alzheimer; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 616.83
• DOI: 10.1002/alz.12280
• Languages: English
• ISSNs: 1552-5260

Abstract

Abstract: Introduction: The extent that cognitive measures are documented in electronic health records (EHR) is important for quality care and addressing disparities in timely diagnosis of dementia or Alzheimer's disease (AD). Methods: Analysis of U.S. EHR data to describe the frequency and factors associated with cognitive measures prior to diagnosis of dementia (N = 111, 125) or AD (N = 30, 203). Results: Only 11% of dementia patients and 24% of AD patients had a cognitive measure documented in the 5 years prior to diagnosis. Black race, older age, non‐commercial health insurance, lower mean neighborhood income, greater in‐patient stays, and fewer out‐patient visits were associated with lacking cognitive measures. Discussion: Extensive missing cognitive data and differences in the availability of cognitive measures by race, age, and socioeconomic factors hinder patient care and limit utility of EHR for dementia research. Structured fields and prompts for cognitive data inputs at the point of care may help address these gaps.