Evidence map›Paper›PMID 25470437›Full record

ArticleHealth communication2015

On the conceptual ambiguity surrounding perceived message effectiveness.

Marco Yzer, Susan LoRusso, Rebekah H Nagler

Abstract read
In one paragraph

Article in Health communication, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Systematic Review of Measures Used in Pictorial Cigarette Pack Warning Experiments.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2017
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  16. UNC Perceived Message Effectiveness: Validation of a Brief Scale.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2019
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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

3 authors.

Marco Yzera School of Journalism and Mass Communication , University of Minnesota.
Susan LoRusso
Rebekah H Nagler

Funding

Univ of Minnesota Buidling Interdisciplinary Research Careers in Women's HealthK12HD055887 · NICHD · UNIVERSITY OF MINNESOTA · PI ALLEN, SHARON S, BERGE, JERICA M · 2007 to 2023
$8.6M
The Neuroanatomical Basis of Anti-Drug Media Messages: the Impact of EffectivenesR21DA024430 · NIDA · UNIVERSITY OF MINNESOTA · PI MACDONALD, ANGUS W, YZER, MARCO C. · 2007 to 2010
$1.1M
NICHD NIH HHS 2 K12-HD055887NICHD NIH HHS K12 HD055887NIDA NIH HHS 1R21DA024430-01NIDA NIH HHS R21 DA024430
6 · The paper itself

Abstract

Health message quality is best understood in terms of a message's ability to effectively produce change in the variables that it was designed to change. The importance of determining a message's effectiveness in producing change prior to implementation is clear: The better a message's potential effectiveness is understood, the better able interventionists are to distinguish effective from ineffective messages before allocating scarce resources to message implementation. For this purpose, research has relied on perceived message effectiveness measures as a proxy of a message's potential effectiveness. Remarkably, however, very little conceptual work has been done on perceived message effectiveness, which renders its measures underinformed and inconsistent across studies. To encourage greater conceptual work on this important construct, we review several threats to the validity of existing measures and consider strategies for improving our understanding of perceived message effectiveness.

Indexed as

Health Services ResearchPersuasive CommunicationHealth CommunicationHumansReproducibility of Results

Identifiers

PMID25470437
PMCPMC4677831

What OpenQuestion holds

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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.