Evidence map›Paper›PMID 36319997›Full record

ArticleBMC public health2022

How users make judgements about the quality of online health information: a cross-sectional survey study.

Wenjing Pian, Laibao Lin, Baiyang Li, Chunxiu Qin, Huizhong Lin

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

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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

5 authors.

Wenjing PianSchool of Economics and Management, Fuzhou University, Fuzhou city, China.
Laibao LinSchool of Economics and Management, Fuzhou University, Fuzhou city, China.
Baiyang LiLaboratory of Data Intelligence and Interdisciplinary Innovation, Nanjing University, Nanjing city, China.
Chunxiu QinDepartment of Information Management, School of Economics and Management, XIDIAN University, Xi'An city, China.
Huizhong LinDepartment of Cardiology, Fujian Medical University Union Hospital, Fuzhou city, China. 569284142@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople increasingly use the Internet to seek health information. However, the overall quality of online health information remains low. This situation is exacerbated by the unprecedented "infodemic", which has had negative consequences for patients. Therefore, it is important to understand how users make judgements about health information by applying different judgement criteria.

objectiveThe objective of this study is to determine how patients apply different criteria in their judgement of the quality of online health information during the pandemic. In particular, we investigate whether there is consistency between the likelihood of using a particular judgement criterion and its perceived importance among different groups of users.

methodsA cross-sectional survey was conducted in one of the leading hospitals in a coastal province of China with a population of forty million. Combined-strategy sampling was used to balance the randomness and the practicality of the recruiting process. A total of 1063 patients were recruited for this study. Chi-square and Kruskal-Wallis analyses were used to analyse the survey data.

resultsIn general, patients make quality judgement of health information more frequently based on whether it is familiar, aesthetic, and with expertise. In comparison, they put more weights on whether health information is secure, trustworthy, and with expertise when determining its quality. Criteria that were considered more important were not always those with a higher likelihood of being used. Patients may not use particular criteria, such as familiarity, identification, and readability, more frequently than others even if they consider them to be more important than other do and vice versa. Surprisingly, patients with a primary school degree put more weight on whether health information is comprehensive than those with higher degrees do in determining its quality. However, they are less likely to use this guideline in practice.

conclusionsTo the best of our knowledge, this is the first study to investigate the consistency between the likelihood of using certain quality judgement criteria and their perceived importance among patients grouped by different demographic variables and eHealth literacy levels. The findings highlight how to improve online health information services and provide fine-grained customization of information for users.

Indexed as

Health LiteracyTelemedicineCross-Sectional StudiesHumansInternetJudgmentSurveys and QuestionnaireseHealth literacyHealth informationInfodemicInformation qualityJudgement criteriaSocial media

Identifiers

PMID36319997
PMCPMC9628111

What OpenQuestion holds

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Registered trials

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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.