Evidence map›Paper›PMID 28271020›Full record

ArticlePreventive medicine reports2017

A readability comparison of anti- versus pro-influenza vaccination online messages in Japan.

Tsuyoshi Okuhara, Hirono Ishikawa, Masahumi Okada, Mio Kato, Takahiro Kiuchi

Abstract read
In one paragraph

Article in Preventive medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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.

Tsuyoshi OkuharaDepartment of Health Communication, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Hirono IshikawaDepartment of Health Communication, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Masahumi OkadaDepartment of Health Communication, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Mio KatoDepartment of Health Communication, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Takahiro KiuchiDepartment of Health Communication, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Historically, anti-vaccination sentiment has existed in many populations. Mass media plays a large role in disseminating and sensationalizing vaccine objections, especially via the medium of the Internet. Based on studies of processing fluency, we assumed that anti-influenza vaccination online messages to be more readable and more fluently processed than pro-influenza vaccination online messages, which may consequently sway the opinions of some audiences. The aim of this study was to compare readability of anti- and pro-influenza vaccination online messages in Japan using a measure of readability. Web searches were conducted at the end of August 2016 using two major Japanese search engines (Google.jp and Yahoo!.jp). The included websites were classified as "anti", "pro", or "both" depending on the claims, and "health professional" or "non-health professional" depending on the writers' expertise. Readability was determined using a validated measure of Japanese readability (the Japanese sentence difficulty discrimination system). Readability of "health professional" websites was compared with that of "non-health professional" websites, and readability of "anti" websites was compared with that of "pro" websites, using the

Indexed as

Anti-vaccinationHealth literacyInfluenza vaccinationInternetJSDDS, Japanese sentence difficulty discrimination systemProcessing fluencyReadability

Identifiers

PMID28271020
PMCPMC5328916

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.