ArticleHealth communication2016
Characteristics of Patients Who Report Confusion After Reading Their Primary Care Clinic Notes Online.
Article in Health communication, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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.
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Who cites it
11 citing papers in PubMed.
- Article
- Natural language processing models for patient-centered summaries of prostatectomy pathology reports.Scientific reports · 2026Article
- MedCOD: Enhancing English-to-Spanish Medical Translation of Large Language Models Using Enriched Chain-of-Dictionary Framework.Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing · 2025Article
- Perception of Physicians' Notes Among Parents of Different Health Literacy Levels.Hospital pediatrics · 2024Article
- Changes in Clinician Attitudes Toward Sharing Visit Notes: Surveys Pre-and Post-Implementation.Journal of general internal medicine · 2021Article
- Dermatopathologists' Experience With and Perceptions of Patient Online Access to Pathologic Test Result Reports.JAMA dermatology · 2020Article
- Parent Perspectives on Pediatric Inpatient OpenNotes.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
- Benefit-risk of Patients' Online Access to their Medical Records: Consensus Exercise of an International Expert Group.Yearbook of medical informatics · 2018Article
- Sharing Annotated Audio Recordings of Clinic Visits With Patients-Development of the Open Recording Automated Logging System (ORALS): Study Protocol.JMIR research protocols · 2017Article
- Your Patient Is Now Reading Your Note: Opportunities, Problems, and Prospects.The American journal of medicine · 2016Article
- Recent perspectives of electronic medical record systems.Experimental and therapeutic medicine · 2016Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Patient access to online electronic medical records (EMRs) is increasing and may offer benefits to patients. However, the inherent complexity of medicine may cause confusion. We elucidate characteristics and health behaviors of patients who report confusion after reading their doctors' notes online. We analyzed data from 4,528 patients in Boston, MA, central Pennsylvania, and Seattle, WA, who were granted online access to their primary care doctors' clinic notes and who viewed at least one note during the 1-year intervention. Three percent of patients reported confusion after reading their visit notes. These patients were more likely to be at least 70 years of age (p < .0001), have fewer years of education (p < .0017), be unemployed (p < .0001), have lower levels of self-reported health (p < .0043), and worry more after reading visit notes (relative risk [RR] 4.83; confidence interval [CI] 3.17, 7.36) compared to patients who were not confused. In adjusted analyses, they were less likely to report feeling more in control of their health (RR 0.42; CI 0.25, 0.71), remembering their care plan (RR 0.26; CI 0.17, 0.42), and understanding their medical conditions (RR 0.32; CI 0.19, 0.54) as a result of reading their doctors' notes compared to patients who were not confused. Patients who were confused by reading their doctors' notes were less likely to report benefits in health behaviors. Understanding this small subset of patients is a critical step in reducing gaps in provider-patient communication and in efforts to tailor educational approaches for patients.
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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.