Evidence map›Paper›PMID 30340488›Full record

ArticleBMC medical informatics and decision making2018

The QUEST for quality online health information: validation of a short quantitative tool.

Julie M Robillard, Jessica H Jun, Jen-Ai Lai, Tanya L Feng

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 6 pooled it
15.4field-weighted citation impact, top 1% of its field
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

73 citing papers in PubMed, 6 syntheses or guidelines pooled it, 141 citations in OpenAlex.

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  12. Appraisal of international, patient-facing resources on heavy menstrual bleeding.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
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13 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 1 country.

Julie M RobillardDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, Canada. jrobilla@mail.ubc.ca.ORCID 0000-0001-5765-4927
Jessica H JunDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, Canada.
Jen-Ai LaiDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, Canada.
Tanya L FengDivision of Neurology, Department of Medicine, The University of British Columbia, Vancouver, Canada.
University of British Columbia · CAUniversity of British Columbia Hospital · CA

Funding

CIHR
6 · The paper itself

Abstract

backgroundOnline health information is unregulated and can be of highly variable quality. There is currently no singular quantitative tool that has undergone a validation process, can be used for a broad range of health information, and strikes a balance between ease of use, concision and comprehensiveness. To address this gap, we developed the QUality Evaluation Scoring Tool (QUEST). Here we report on the analysis of the reliability and validity of the QUEST in assessing the quality of online health information.

methodsThe QUEST and three existing tools designed to measure the quality of online health information were applied to two randomized samples of articles containing information about the treatment (n = 16) and prevention (n = 29) of Alzheimer disease as a sample health condition. Inter-rater reliability was assessed using a weighted Cohen's kappa (κ) for each item of the QUEST. To compare the quality scores generated by each pair of tools, convergent validity was measured using Kendall's tau (τ) ranked correlation.

resultsThe QUEST demonstrated high levels of inter-rater reliability for the seven quality items included in the tool (κ ranging from 0.7387 to 1.0, P < .05). The tool was also found to demonstrate high convergent validity. For both treatment- and prevention-related articles, all six pairs of tests exhibited a strong correlation between the tools (τ ranging from 0.41 to 0.65, P < .05).

conclusionsOur findings support the QUEST as a reliable and valid tool to evaluate online articles about health. Results provide evidence that the QUEST integrates the strengths of existing tools and evaluates quality with equal efficacy using a concise, seven-item questionnaire. The QUEST can serve as a rapid, effective, and accessible method of appraising the quality of online health information for researchers and clinicians alike.

Indexed as

Consumer Health InformationData AccuracyHealth Information ManagementInternetHumansReproducibility of ResultsResearch DesignSurveys and QuestionnaireseHealthInstrument validationOnline health informationQuality evaluation

Identifiers

PMID30340488
PMCPMC6194721
OpenAlexW2896977428

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.