ArticleKansas journal of medicine2023
Health Literacy Analytics of Accessible Patient Resources in Cardiovascular Medicine: What are Patients Wanting to Know?
Article in Kansas journal of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Modern Digital Query Analytics of Patient Education Materials on Acanthosis Nigricans: Systematic Search and Content Analysis.JMIR dermatology · 2025Article
- Readability Metrics in Patient Education: Where Do We Innovate?Clinics and practice · 2024Article
- Article
- Leveraging Generative Artificial Intelligence Models in Patient Education on Inferior Vena Cava Filters.Clinics and practice · 2024Article
- Exploring community pharmacists' attitudes in Thailand towards ChatGPT usage: A pilot qualitative investigation.Digital healthArticle
- Article
- Enhancing Patient Education on Cardiovascular Rehabilitation with Large Language Models.Missouri medicineArticle
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: There remains an increasing utilization of internet-based resources as a first line of medical knowledge. Among patients with cardiovascular disease, these resources often are relied upon for numerous diagnostic and therapeutic modalities. However, the reliability of this information is not fully understood. The aim of this study was to provide a descriptive profile on the literacy quality, readability, and transparency of publicly available educational resources in cardiology. Methods: The frequently asked questions and associated online educational articles on common cardiovascular diagnostic and therapeutic interventions were investigated using publicly available data from the Google RankBrain machine learning algorithm after applying inclusion and exclusion criteria. Independent raters evaluated questions for Rothwell's Classification and readability calculations. Results: Collectively, 520 questions and articles were evaluated across 13 cardiac interventions, resulting in 3,120 readability scores. The sources of articles were most frequently from academic institutions followed by commercial sources. Most questions were classified as "Fact" at 76.0% (n = 395), and questions regarding "Technical Details" of each intervention were the most common subclassification at 56.3% (n = 293). Conclusions: Our data show that patients most often are using online search query programs to seek information regarding specific knowledge of each cardiovascular intervention rather than form an evaluation of the intervention. Additionally, these online patient educational resources continue to not meet grade-level reading recommendations.
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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.