ArticleProceedings. AMIA Symposium2001
A metadata vocabulary for self- and third-party labeling of health web-sites: Health Information Disclosure, Description and Evaluation Language (HIDDEL).
Article in Proceedings. AMIA Symposium, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 5 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.
Study of the Quality of Self-Diagnosis by Headache Patients Getting Tailored Internet Information
Quality of Self-Diagnosis by Headache Patients Getting Tailored Internet Information - Part 2
Who cites it
5 citing papers in PubMed.
- Medical information on the internet: a tool for measuring consumer perception of quality aspects.Interactive journal of medical research · 2015Article
- A call for a moratorium on the .health generic top-level domain: preventing the commercialization and exclusive control of online health information.Globalization and health · 2014Article
- Seal of transparency heritage in the CISMeF quality-controlled health gateway.BMC medical informatics and decision making · 2004Article
- An ontology of quality initiatives and a model for decentralized, collaborative quality management on the (semantic) World-Wide-Web.Journal of medical Internet researchArticle
- Review of internet health information quality initiatives.Journal of medical Internet researchReview
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
We describe HIDDEL (Health Information Disclosure, Description and Evaluation Language), formerly known as medPICS (platform for Internet content selection in medicine), a metadata vocabulary designed to enhance transparency, trust and quality of health information on the web. The vocabulary may be used (1) by webmasters to self-describe their contents and policies; (2) by infomediaries (e.g. Healthfinder, NHS Direct/NeLH), e.g. third party evaluators, rating or portal services, to annotate other websites; (3) and by users, to describe their preferences. As an XML application it conforms to the W3C's RDF Specification. The metadata vocabulary is primarily intended to enable descriptions of whole health websites or health information providers. The vocabulary is designed to provide a computer-readable electronic "label" of a health website, telling users who is behind the website, how the website is sponsored, what the con-tent, aim and target audience is, how the information was compiled, what risks the service bears, or what people say about the resource. Client-software can "read" this label automatically, compare it to the user s own set of preferences and needs, and alert and advise users.
Indexed as
Identifiers
11825174PMC2243523What 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.