Related Experiment Video
Updated: Jun 6, 2025
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Characterizing patient portal use of people with cognitive impairment and potentially inappropriate medications
Ariel R Green1, Daniel Martin2, Andrew Jessen2
1Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
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 use by this population related to medications.
Objective:
To target portal interventions, we sought to identify individuals with cognitive impairment and CNS-PIM exposure who discussed medications through the portal and to determine how frequently their messages described possible adverse effects.
Methods:
We used electronic health record (EHR) data from an academic health system in Maryland (Site 1) from 2017 to 2022 and pharmacy and EHR data from an integrated health system in Colorado (Site 2) in 2022 to identify people with cognitive impairment and CNS-PIM exposure who communicated about medications through the portal. At Site 1, message threads were manually categorized based on content. At Site 2, messages were categorized using natural language processing (NLP).
Results:
The Site 1 cohort included 5543 patients aged ≥65 with cognitive impairment and ≥2 outpatient visits from 2017 to 2022. Over half (n = 3072; 55%) had CNS-PIM prescriptions. Most with CNS-PIM prescriptions had portal use (n = 1987; 65%); 1320 (66%) of those patients sent messages during possible CNS-PIM exposure. Coding of a 5% random sample of message threads revealed that 3% mentioned CNS-PIM and possible adverse effects, while 8% mentioned possible adverse effects without referencing CNS-PIM. At Site 2, 4270 people had cognitive impairment and CNS-PIM exposure in 2022; of these, 1984 (46%) had portal use and 1768 (41%) sent medication-related messages during CNS-PIM exposure. NLP identified 663 (8%) messages that mentioned CNS-PIM and possible adverse effects, while 726 (41%) mentioned possible adverse effects without referencing CNS-PIM.
Conclusions:
People with cognitive impairment and care partners frequently send portal messages about medications and possible adverse effects. Identifying such messages can help target deprescribing interventions.
More Related Videos
10:13Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
Published on: February 14, 2014
06:28E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
Published on: August 1, 2019
Related Concept Videos
01:30Cognitive Enhancers: Cholinesterase Inhibitors and NMDA Receptor Antagonists
01:28Drug Therapy
Antianxiety Medications
01:21Factors Affecting Drug Response: Overview
01:10Documentation of Nursing Diagnosis
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
01:18Guidelines and Strategies for Safe Computer Charting
Maintain Confidentiality and Security:
01:15Drug Dosage Regimen: Overview
Typically, the starting dose and dosing interval are guided by the manufacturer's recommendations based on clinical trials conducted during and after drug...