Evidence map›Paper›PMID 30222437›Full record

ArticleTherapeutic innovation & regulatory science2015

Communicating Benefit and Risk Information in Direct-to-Consumer Print Advertisements: A Randomized Study.

Helen W Sullivan, Amie C O'Donoghue, Kathryn J Aikin

Abstract read
In one paragraph

Article in Therapeutic innovation & regulatory science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. A systematic review of factors associated with side-effect expectations from medical interventions.Health expectations : an international journal of public participation in health care and health policy · 2020
    Pooled it
  2. 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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  13. Quantitative Information on Oncology Prescription Drug Websites.Journal of cancer education : the official journal of the American Association for Cancer Education · 2018
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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.

Helen W Sullivan1 US Food and Drug Administration, Silver Spring, MD, USA.
Amie C O'Donoghue1 US Food and Drug Administration, Silver Spring, MD, USA.
Kathryn J Aikin1 US Food and Drug Administration, Silver Spring, MD, USA.

Funding

Intramural FDA HHS FD999999
6 · The paper itself

Abstract

backgroundPrevious research demonstrated that providing qualitative and quantitative information in a "drug facts box" may help individuals understand prescription drug information in print-based direct-to-consumer advertisements. The authors sought to determine whether qualitative, quantitative, or a combination thereof best communicates benefit and risk information.

methodsTo replicate and extend previous research, the authors used simple quantitative drug information. A randomized controlled study was conducted with 5067 Internet panelists with heartburn. Participants viewed a drug facts box with benefit and risk information that varied the presence or absence of qualitative summaries and absolute frequencies, percentages, and absolute differences. Measures included knowledge of drug benefits and risks, perceptions, and intentions.

resultsProviding absolute frequencies and percentages most improved participants' drug knowledge and affected perceptions and intentions.

conclusionsThe study findings suggest that, for simple drug information, adding absolute frequencies and percentages to direct-to-consumer advertisements may benefit consumers. Absolute differences and qualitative labels may not be needed.

Indexed as

advertisingdirect-to-consumerprescription drugsquantitative informationrisk communication

Identifiers

PMID30222437
PMCPMC7337975

What OpenQuestion holds

Textmetadata
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.