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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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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 |
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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 |
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