Evidence map›Paper›PMID 25494623›Full record

ArticleBMC research notes2014

Identification of gain- and loss-framed cancer screening messages that appeared in municipal newsletters in Japan.

Tsuyoshi Okuhara, Hirono Ishikawa, Hiroko Okada, Takahiro Kiuchi

Abstract read
In one paragraph

Article in BMC research notes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

4 authors.

Tsuyoshi OkuharaDepartment of Social Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan. t-okuhara@m.u-tokyo.ac.jp.
Hirono Ishikawa
Hiroko Okada
Takahiro Kiuchi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch suggests that cancer screening messages are more persuasive when framed in terms of the costs of not obtaining screening (i.e., loss-framed) than when framed in terms of the benefits of obtaining screening (i.e., gain-framed). However, to what extent these findings have been integrated into public health practice is unknown. To analyze message framing of cancer screening information, the present study examined message framing of cancer screening announcement articles that appeared in municipal newsletters published from 23 wards in central Tokyo, Japan. Two independent raters coded the articles. Gain- and loss-framed sentences in each article were identified, and based on what the sentences conveyed, articles were classified into gain-framed, loss-framed, mixed-framed, and non-framed.

resultInter-rater reliability was acceptable (intraclass correlation coefficient = 0.88). Of the 129 articles evaluated, the total number of gain-framed sentences was 87, while that of loss-framed sentences was six. The total number of gain-framed articles was 32 (24.8%) while that of loss-framed articles was zero (0%). Five (3.9%) articles were mixed-framed. Ninety-two (71.3%) articles were non-framed.

conclusionsCancer screening announcement articles of municipal newsletters were mostly non-framed or gain-framed in 23 Tokyo wards in Japan. The absence of loss-framed articles and only a small number of loss-framed messages indicate a missed opportunity to persuade readers to obtain cancer screenings. Loss-framed messages and articles need to be increased to enhance the persuasiveness of cancer screening information in municipal newsletters.

Indexed as

Persuasive CommunicationEarly Detection of CancerHumansNeoplasmsPeriodicals as TopicPublic HealthReproducibility of ResultsTokyo

Identifiers

PMID25494623
PMCPMC4295292

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.