Trial reportIsrael journal of health policy research2020
Numbers, graphs and words - do we really understand the lab test results accessible via the patient portals?
Trial report in Israel journal of health policy research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Communicating blood test results in primary care: a mixed-methods systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025Pooled it
- Enhancing Patient Understanding of Laboratory Test Results: Systematic Review of Presentation Formats and Their Impact on Perception, Decision, Action, and Memory.Journal of medical Internet research · 2024Pooled it
- Designing Emotion-Integrated Visualizations for Kidney Function Self-Management: User-Centered Design Study With Youth Transplant Recipients and Caregivers.Journal of medical Internet research · 2026Article
- The application and challenges of ChatGPT in laboratory medicine.Advances in laboratory medicine · 2025Review
- Article
- Quality of Answers of Generative Large Language Models Versus Peer Users for Interpreting Laboratory Test Results for Lay Patients: Evaluation Study.Journal of medical Internet research · 2024Article
- Article
- Patient and Health Care Provider Perspectives on Patient Access to Test Results via Web Portals: Scoping Review.Journal of medical Internet research · 2023Article
- Annotation and Information Extraction of Consumer-Friendly Health Articles for Enhancing Laboratory Test Reporting.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- Patient-centered care: achieving higher quality by designing care through the patient's eyes.Israel journal of health policy research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe heavy reliance on remote patient care (RPC) during the COVID-19 health crisis may have expedited the emergence of digital health tools that can contribute to safely and effectively moving the locus of care from the hospital to the community. Understanding how laypersons interpret the personal health information accessible to them via electronic patient records (EPRs) is crucial to healthcare planning and the design of services. Yet we still know little about how the format in which personal medical information is presented in the EPR (numerically, verbally, or graphically) affects individuals' understanding of the information, their assessment of its gravity, and the course of action they choose in response.
methodsWe employed an online questionnaire to assess respondents' reactions to 10 medical decision-making scenarios, where the same information was presented using different formats. In each scenario, respondents were presented with real (anonymized) patient lab results using either numeric expressions, graphs, or verbal expressions. Participants were asked to assess the gravity of the hypothetical patient's condition and the course of action they would follow if they were that patient. The questionnaire was distributed to more than 300 participants, of whom 225 submitted usable responses.
resultsLaypersons were more likely to overestimate the gravity of the information when it was presented either numerically or graphically compared to the narrative format. High perceived gravity was most likely to produce an inclination to actively seek medical attention, even when unwarranted. "Don't know" responses were most likely to produce an inclination to either search the Internet or wait for the doctor to call. POLICY RECOMMENDATIONS: We discuss the study's implications for the effective design of lab results in the patient portals. We suggest (1) that graphs, tables, and charts would be easier to interpret if coupled with a brief verbal explanation; (2) that highlighting an overall level of urgency may be more helpful than indicating a diversion from the norm; and (3) that statements of results should include the type of follow-up required.
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.