ArticleAnnals of family medicine2026
Advancing Family Medicine Through Dyadic Electronic Medical Record Linkage in Dementia Care.
Article in Annals of family medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Expanding Access to Primary Care Research for Non-English-Speaking Primary Care Providers, Researchers, and Policy Makers.Annals of family medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Family physicians are well-positioned to support both persons living with dementia (PLWD) and their caregivers. However, current electronic medical record (EMR) systems do not capture the relational and interdependent nature of dementia care. Dyadic data, linking the records of persons living with dementia (PLWD) and their caregivers, could support more integrated, proactive, and personalized care. While there is growing interest in leveraging EMRs for this purpose, few systems enable routine dyadic linkage, limiting clinical utility and research capacity.This report describes the current state of dyadic EMR data linkage in Canada, drawing on a pilot study using the Canadian Primary Care Sentinel Surveillance Network (CPCSSN). We examined methods for identifying PLWD-caregiver dyads in primary care settings, including manual identification and algorithmic approaches using shared contact information. Both methods were feasible, but each faced challenges related to EMR compatibility, privacy regulations, and consent processes. The study highlights how CPCSSN infrastructure can be used to create de-identified, longitudinal data sets for research and surveillance, while also identifying critical gaps that limit clinical application.Our findings demonstrate that while EMRs offer a promising platform for linking dyadic data, system-level changes are needed to fully integrate caregiver information into routine care. This includes standardized fields, clearer privacy guidelines, and cross-sector data harmonization. Dyadic EMR linkage has the potential to inform research, improve quality of care, and guide policy development. Future efforts must balance innovation with feasibility and privacy, ensuring caregiver roles are visible and valued within primary care systems.Abstract also available in: عربي (Arabic); Deutsch (German); Español (Spanish); Francais (French); हिन्दी (Hindi); Indonesia (Indonesian); (Chinese); (Japanese); Portugues (Portuguese).
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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.