ArticleStudies in health technology and informatics2019
Understanding Patient Information Needs About Their Clinical Laboratory Results: A Study of Social Q&A Site.
Article in Studies in health technology and informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Stakeholders' engagement for improved health outcomes: a research brief to design a tool for better communication and participation.Frontiers in public health · 2025Article
- Oral Diabetes Medication Videos on Douyin: Analysis of Information Quality and User Comment Attitudes.JMIR formative research · 2024Article
- 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
- When Positive is Negative: Health Literacy Barriers to Patient Access to Clinical Laboratory Test Results.The journal of applied laboratory medicine · 2023Article
- The State-of-the-Art of Patient Portals: Adapting to External Factors, Addressing Barriers, and Innovating.Applied clinical informatics · 2023Review
- Consumers' Needs for Laboratory Results Portals: Questionnaire Study.JMIR human factors · 2023Article
- Annotation and Information Extraction of Consumer-Friendly Health Articles for Enhancing Laboratory Test Reporting.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- User-Centered System Design for Communicating Clinical Laboratory Test Results: Design and Evaluation Study.JMIR human factors · 2021Article
- Effect of AI Explanations on Human Perceptions of Patient-Facing AI-Powered Healthcare Systems.Journal of medical systems · 2021Article
- Pregnancy-Related Information Seeking in Online Health Communities: A Qualitative Study.Diversity, divergence, dialogue : 16th international conference, iConference 2021, Beijing, China, March 17-31, 2021 : proceedings. iConference (Conference) (16th : 2021 : Online) · 2021Article
- Utilization of Self-Diagnosis Health Chatbots in Real-World Settings: Case Study.Journal of medical Internet research · 2021Article
- Patient Challenges and Needs in Comprehending Laboratory Test Results: Mixed Methods Study.Journal of medical Internet research · 2020Article
- Analyzing Social Media Data to Understand Consumer Information Needs on Dietary Supplements.Studies in health technology and informatics · 2019Article
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
Abstract
Clinical data, such as laboratory test results, is increasingly being made available to patients through patient portals. However, patients often have difficulties understanding and acting upon the clinical data presented in portals. As such, many turn to online resources to fill their knowledge gaps and obtain actionable advice. In this work, we present a content analysis of the questions posted in a major social Q&A site to characterize lay people's general information needs concerning laboratory test results and to inform the design of patient portals for supporting patients' understanding of clinical data. We identified 15 information needs related to laboratory test results, and clustered them under four themes: understanding the results of lab test, interpreting doctor's diagnosis, learning about lab tests, and consulting the next steps. We draw on our findings to discuss design opportunities for supporting the understanding of laboratory results.
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.