ArticleEuropean geriatric medicine2025
Using electronic health records to understand multimorbidity in older people: a scoping review.
Article in European geriatric medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
2 citing papers in PubMed.
- Digital health technology burden and frustration among patients with multimorbidity.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Development of reporting guidelines for multiple long-term condition research.Journal of multimorbidity and comorbidityArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
purposeThe increasing availability of electronic health records (EHR), encompassing routinely collected general practice, hospital, and linked national census data, presents significant opportunities to enhance our understanding of multimorbidity at scale. However, the utility and clinical impact of EHR in advancing multimorbidity research, particularly concerning older adults who are disproportionately affected, remain unclear. This study aims to synthesise the literature on the use of EHR to investigate multimorbidity in individuals aged 65 years and older.
methodWe conducted a scoping review, performing literature searches across Medline, Embase, CINAHL, and the Cochrane Central Register of Controlled Trials. Studies published from the inception of these databases until September 2024 were included if they investigated multimorbidity using EHR in individuals aged 65 years and older. The extracted data were synthesised using an iterative descriptive process.
resultsA total of 753 studies were identified, with 46 meeting the eligibility criteria for inclusion. All studies originated from high-income countries, primarily the USA and Spain. Research focused on areas such as healthcare utilisation and costs, predictive modelling based on patient disease profiles, specific clustering models, relationships between multimorbidity and particular disease categories, aetiology, polypharmacy, and the accuracy of EHR. Reporting on data completeness, sociodemographic characteristics, and the inclusion of ethnic and social diversity within EHR datasets was notably limited.
conclusionsThe use of EHR to elucidate multimorbidity is expanding and holds substantial promise. However, enhanced reporting of data completeness and sociodemographic characteristics is essential to facilitate the effective translation of findings into real-world populations. Neglecting these aspects, risks exacerbating inequality gaps for individuals 65 years and older with multimorbidity.
Indexed as
Identifiers
What OpenQuestion holds
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.