Cargando…

Cognitive measures lacking in EHR prior to dementia or Alzheimer's disease diagnosis

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 assoc...

Descripción completa

Detalles Bibliográficos
Autores principales: Maserejian, Nancy, Krzywy, Henry, Eaton, Susan, Galvin, James E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8359414/
https://www.ncbi.nlm.nih.gov/pubmed/33656251
http://dx.doi.org/10.1002/alz.12280
_version_ 1783737544813314048
author Maserejian, Nancy
Krzywy, Henry
Eaton, Susan
Galvin, James E.
author_facet Maserejian, Nancy
Krzywy, Henry
Eaton, Susan
Galvin, James E.
author_sort Maserejian, Nancy
collection PubMed
description 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.
format Online
Article
Text
id pubmed-8359414
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-83594142021-08-17 Cognitive measures lacking in EHR prior to dementia or Alzheimer's disease diagnosis Maserejian, Nancy Krzywy, Henry Eaton, Susan Galvin, James E. Alzheimers Dement Featured Articles 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. John Wiley and Sons Inc. 2021-03-03 2021-07 /pmc/articles/PMC8359414/ /pubmed/33656251 http://dx.doi.org/10.1002/alz.12280 Text en © 2021 Biogen, Inc. Alzheimer's & Dementia published by Wiley Periodicals, LLC on behalf of Alzheimer's Association https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Featured Articles
Maserejian, Nancy
Krzywy, Henry
Eaton, Susan
Galvin, James E.
Cognitive measures lacking in EHR prior to dementia or Alzheimer's disease diagnosis
title Cognitive measures lacking in EHR prior to dementia or Alzheimer's disease diagnosis
title_full Cognitive measures lacking in EHR prior to dementia or Alzheimer's disease diagnosis
title_fullStr Cognitive measures lacking in EHR prior to dementia or Alzheimer's disease diagnosis
title_full_unstemmed Cognitive measures lacking in EHR prior to dementia or Alzheimer's disease diagnosis
title_short Cognitive measures lacking in EHR prior to dementia or Alzheimer's disease diagnosis
title_sort cognitive measures lacking in ehr prior to dementia or alzheimer's disease diagnosis
topic Featured Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8359414/
https://www.ncbi.nlm.nih.gov/pubmed/33656251
http://dx.doi.org/10.1002/alz.12280
work_keys_str_mv AT maserejiannancy cognitivemeasureslackinginehrpriortodementiaoralzheimersdiseasediagnosis
AT krzywyhenry cognitivemeasureslackinginehrpriortodementiaoralzheimersdiseasediagnosis
AT eatonsusan cognitivemeasureslackinginehrpriortodementiaoralzheimersdiseasediagnosis
AT galvinjamese cognitivemeasureslackinginehrpriortodementiaoralzheimersdiseasediagnosis