Evidence map›Paper›PMID 14713657›Full record

ArticleJournal of medical Internet research2003

Conceptual framework for a new tool for evaluating the quality of diabetes consumer-information Web sites.

Joshua J Seidman, Donald Steinwachs, Haya R Rubin

Abstract readEvaluation Study
In one paragraph

Article in Journal of medical Internet research, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Joshua J SeidmanCenter for Information Therapy, Healthwise, Inc, 600 New Hampshire Avenue, NW, Washington, DC 20037, USA. jseidman@healthwise.org
Donald Steinwachs
Haya R Rubin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost existing tools for measuring the quality of Internet health information focus almost exclusively on structural criteria or other proxies for quality of information, rather than evaluating information accuracy and comprehensiveness.

objectiveThis research sought to build a conceptual framework that could lay the groundwork for a robust performance-measurement system for evaluating the quality of Internet health information.

methodsApplication of the quality-of-care measurement paradigm to developing a conceptual framework for defining and evaluating the quality of diabetes consumer-information Web sites.

resultsPerformance measures related to accuracy and comprehensiveness of information can be added to structural criteria to provide a more-robust approach to Web site evaluation.

conclusionsThe development and implementation of a reliable and valid method for evaluating the quality of Internet health sites could provide lay people with a tool to identify useful content more easily and distinguish between beneficial and misleading information.

Indexed as

Diabetes MellitusPatient Education as TopicGuidelines as TopicHumansInformation ServicesInternetModels, OrganizationalProgram EvaluationQuality Assurance, Health CareQuality of Health Care

Identifiers

PMID14713657
PMCPMC1550580

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.