ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2010
What do patients search for when seeking clinical trial information online?
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- A content analysis of Clinical and Translational Science Award (CTSA) strategies for communicating about clinical research participation online.Journal of clinical and translational science · 2017Article
- Parental Evaluation of a Nurse Practitioner-Developed Pediatric Neurosurgery Website.JMIR research protocols · 2016Article
- Article
- Cross-system evaluation of clinical trial search engines.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2014Article
- Unsupervised mining of frequent tags for clinical eligibility text indexing.Journal of biomedical informatics · 2013Article
- eTACTS: a method for dynamically filtering clinical trial search results.Journal of biomedical informatics · 2013Article
- Characteristics and Causes for Non-Accrued Clinical Research (NACR) at an Academic Medical Institution.Journal of clinical medicine research · 2013Article
- Using Internet search engines to obtain medical information: a comparative study.Journal of medical Internet research · 2012Article
- Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis.Journal of the American Medical Informatics Association : JAMIAArticle
- Readability of Cancer Clinical Trials Websites.Cancer control : journal of the Moffitt Cancer CenterArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Internet has become a common source for consumers to seek health information across a wide range of topics including searching for clinical trials. However, not much is known about what consumers search for in relation to clinical trials and how they formulate their search queries. In this study, we use log file data from TrialX.com, a consumer-centric website that provides clinical trial information to ascertain patterns in consumer queries. We analyzed semantic patterns in the queries by mapping query keywords to the UMLS Semantic Types and performed a manual evaluation of user paths. We found that the queries can be grouped into combinations of information needs related to condition, location and treatment. The results also suggested that the consumers using longer search queries with multiple Semantic Types are more likely to take action to participate in clinical trials. The study provides early insights that can be used to inform changes in website content and information display to improve clinical trials information seeking.
Indexed as
Identifiers
21347048PMC3041375What 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.