Evidence map›Paper›PMID 29125325›Full record

ArticleHealth communication2019

Communicating Risk Information in Direct-to-Consumer Prescription Drug Television Ads: A Content Analysis.

Helen W Sullivan, Kathryn J Aikin, Jon Poehlman

Open access · greenAbstract read
In one paragraph

Article in Health communication, 2019. 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
1.6field-weighted citation impact, top 17% of its field
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

9 citing papers in PubMed, 25 citations in OpenAlex.

  1. The Effect of Including Quantitative Information on Multiple Endpoints in Direct-to-Consumer Prescription Drug Television Advertisements.Medical decision making : an international journal of the Society for Medical Decision Making · 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 at 2 institutions in 2 countries.

Helen W Sullivana U.S. Food and Drug Administration.
Kathryn J Aikina U.S. Food and Drug Administration.
Jon Poehlmanb RTI International.
Food and Drug Administration · THRTI International · US

Funding

Intramural FDA HHS FD999999
6 · The paper itself

Abstract

Direct-to-consumer (DTC) television ads for prescription drugs are required to disclose the product's major risks in the audio or audio and visual parts of the presentation (sometimes referred to as the "major statement"). The objective of this content analysis was to determine how the major statement of risks is presented in DTC television ads, including what risk information is presented, how easy or difficult it is to understand the risk information, and the audio and visual characteristics of the major statement. We identified 68 DTC television ads for branded prescription drugs, which included a unique major statement and that aired between July 2012 and August 2014. We used subjective and objective measures to code 50 ads randomly selected from the main sample. Major statements often presented numerous risks, usually in order of severity, with no quantitative information about the risks' severity or prevalence. The major statements required a high school reading level, and many included long and complex sentences. The major statements were often accompanied by competing non-risk information in the visual images, presented with moderately fast-paced music, and read at a faster pace than benefit information. Overall, we discovered several ways in which the communication of risk information could be improved.

Indexed as

Health CommunicationPrescription DrugsRisk AssessmentTelevisionDirect-to-Consumer AdvertisingDrug-Related Side Effects and Adverse ReactionsHealth LiteracyHumansPrescription Drugs

Identifiers

PMID29125325
PMCPMC7325552
OpenAlexW2767568745

What OpenQuestion holds

Textmetadata
LicenceTDM
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.