Characterizing patient portal use of people with cognitive impairment and potentially inappropriate medications DOI
Ariel R. Green,

Daniel Martin,

Andrew Jessen

et al.

Journal of the American Geriatrics Society, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 23, 2024

Abstract Background People with cognitive impairment commonly use central nervous system‐active potentially inappropriate medications (CNS‐PIM), increasing risk of adverse outcomes. Patient portals may be a promising tool for facilitating medication‐related conversations. Little is known about portal by this population related to medications. Objective To target interventions, we sought identify individuals and CNS‐PIM exposure who discussed through the determine how frequently their messages described possible effects. Methods We used electronic health record (EHR) data from an academic system in Maryland (Site 1) 2017 2022 pharmacy EHR integrated Colorado 2) people communicated portal. At Site 1, message threads were manually categorized based on content. 2, using natural language processing (NLP). Results The 1 cohort included 5543 patients aged ≥65 ≥2 outpatient visits 2022. Over half ( n = 3072; 55%) had prescriptions. Most prescriptions 1987; 65%); 1320 (66%) those sent during exposure. Coding 5% random sample revealed that 3% mentioned effects, while 8% effects without referencing CNS‐PIM. 4270 2022; these, 1984 (46%) 1768 (41%) NLP identified 663 (8%) 726 Conclusions care partners send Identifying such can help deprescribing interventions.

Language: Английский

Characterizing patient portal use of people with cognitive impairment and potentially inappropriate medications DOI
Ariel R. Green,

Daniel Martin,

Andrew Jessen

et al.

Journal of the American Geriatrics Society, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 23, 2024

Abstract Background People with cognitive impairment commonly use central nervous system‐active potentially inappropriate medications (CNS‐PIM), increasing risk of adverse outcomes. Patient portals may be a promising tool for facilitating medication‐related conversations. Little is known about portal by this population related to medications. Objective To target interventions, we sought identify individuals and CNS‐PIM exposure who discussed through the determine how frequently their messages described possible effects. Methods We used electronic health record (EHR) data from an academic system in Maryland (Site 1) 2017 2022 pharmacy EHR integrated Colorado 2) people communicated portal. At Site 1, message threads were manually categorized based on content. 2, using natural language processing (NLP). Results The 1 cohort included 5543 patients aged ≥65 ≥2 outpatient visits 2022. Over half ( n = 3072; 55%) had prescriptions. Most prescriptions 1987; 65%); 1320 (66%) those sent during exposure. Coding 5% random sample revealed that 3% mentioned effects, while 8% effects without referencing CNS‐PIM. 4270 2022; these, 1984 (46%) 1768 (41%) NLP identified 663 (8%) 726 Conclusions care partners send Identifying such can help deprescribing interventions.

Language: Английский

Citations

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