Evidence map›Paper›PMID 26212505›Full record

ArticleEpidemiology and health2015

What predicts the trust of online health information?

Jeong Hyun Kwon, Su-Yeon Kye, Eun Young Park, Kyung Hee Oh, Keeho Park

Abstract read
In one paragraph

Article in Epidemiology and health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Jeong Hyun KwonCancer Policy Branch, National Cancer Control Institute, National Cancer Center, Goyang, Korea.
Su-Yeon KyeCancer Information and Education Branch, National Cancer Control Institute, National Cancer Center, Goyang, Korea.
Eun Young ParkCarcinogenic hazard Branch, National Cancer Control Institute, National Cancer Center, Goyang, Korea.
Kyung Hee OhCancer Information and Education Branch, National Cancer Control Institute, National Cancer Center, Goyang, Korea.
Keeho ParkCancer Policy Branch, National Cancer Control Institute, National Cancer Center, Goyang, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLittle attention has been paid to levels of trust in online sources of health information. The objective of this study was to investigate levels of trust in various sources of health information (interpersonal channels, traditional media, and Internet media), and to examine the predictors of trust in health information available on the Internet.

methodsA questionnaire was administered to 1,300 people (20 years of age or older), evaluating levels of trust in various sources of health information.

resultsThe highest level of trust was expressed regarding interpersonal channels, with hospital physicians regarded as the most trusted source of information age and income showed an association with trust in online information sources. Elderly people were not likely to trust Internet news sources, and high incomes were found to be strongly associated with trust in online sources of information overall.

conclusionsPublic health organizations must consider the predictors for trust in various sources of information in order to employ appropriate media when targeting vulnerable individuals or developing messaging strategies for health professionals.

Indexed as

Health informationInternetTrust

Identifiers

PMID26212505
PMCPMC4546988

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.