Observational studyJournal of the American Geriatrics Society2024
Patient portal messages to support an age-friendly health system for persons with dementia.
Observational study in Journal of the American Geriatrics Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 3 citations in OpenAlex.
- Patient Portal Use Among Older Adults: A Systematic Review and Meta-Analysis.Proceedings. IEEE International Conference on Healthcare Informatics · 2026Article
- Article
- Identifying Patient Portal Messages from Care Partners of People with Dementia.Clinical interventions in aging · 2026Article
- Systematic Identification of Caregivers of Patients Living With Dementia in the Electronic Health Record: Known Contacts and Natural Language Processing Cohort Study.Journal of medical Internet research · 2025Article
- Characterizing patient portal use of people with cognitive impairment and potentially inappropriate medications.Journal of the American Geriatrics Society · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundPatient portal secure messaging can support age-friendly dementia care, yet little is known about care partner use of the portal and how message concerns relate to age-friendly issues.
methodsWe conducted a two-part observational study. We first assessed the feasibility of automating care partner identification from patient portal messages by developing and testing a natural language processing (NLP) rule-based classification system from portal messages of 1973 unique patients 65 and older. Second, two independent reviewers manually coded a randomly selected sample of portal messages for 987 persons with dementia to identify the frequency of expressed needs from the 4M domains of an Age-Friendly Health System (medications, mentation, mobility, and what matters).
resultsA total of 267 (13.53%) of 1973 messages sent from older adults' portal accounts were identified through manual coding as sent by a nonpatient author. The NLP model performance to identify nonpatient authors demonstrated an AUC of 0.90. Most messages sent from the accounts of persons with dementia contained content relevant to the 4Ms (60%, 601/987), with the breakdown as follows: medications-36% (357/987), mobility-10% (101/987), mentation-16% (153/987), and what matters (aligning care with specific health goals and care preferences)-21%, 207/987.
conclusionsPatient portal messaging offers an avenue to identify care partners and meet the informational needs of persons with dementia and their care partners.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.