Evidence map›Paper›PMID 19707579›Full record

Trial reportPLoS medicine2009

The effect of alternative graphical displays used to present the benefits of antibiotics for sore throat on decisions about whether to seek treatment: a randomized trial.

Cheryl L L Carling, Doris Tove Kristoffersen, Signe Flottorp, Atle Fretheim, Andrew D Oxman, Holger J Schünemann, Elie A Akl, Jeph Herrin, Thomas D MacKenzie, Victor M Montori

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PLoS medicine, 2009. 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
2.6field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

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  12. Blocks, ovals, or people? Icon type affects risk perceptions and recall of pictographs.Medical decision making : an international journal of the Society for Medical Decision Making · 2014
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  16. Risk communication in clinical trials: a cognitive experiment and a survey.BMC medical informatics and decision making · 2010
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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

10 authors at 5 institutions in 2 countries.

Cheryl L L CarlingNorwegian Knowledge Centre for the Health Services, Oslo, Norway. cheryl.carling@kunnskapssenteret.no
Doris Tove Kristoffersen
Signe Flottorp
Atle Fretheim
Andrew D Oxman
Holger J Schünemann
Elie A Akl
Jeph Herrin
Thomas D MacKenzie
Victor M Montori
Nasjonalt Kunnskapssenter for Helsetjenesten · NOMayo Clinic · USUniversity at Buffalo, State University of New York · USUniversity of Colorado Health · USYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe conducted an Internet-based randomized trial comparing four graphical displays of the benefits of antibiotics for people with sore throat who must decide whether to go to the doctor to seek treatment. Our objective was to determine which display resulted in choices most consistent with participants' values. METHODS AND

findingsThis was the first of a series of televised trials undertaken in cooperation with the Norwegian Broadcasting Company. We recruited adult volunteers in Norway through a nationally televised weekly health program. Participants went to our Web site and rated the relative importance of the consequences of treatment using visual analogue scales (VAS). They viewed the graphical display (or no information) to which they were randomized and were asked to decide whether to go to the doctor for an antibiotic prescription. We compared four presentations: face icons (happy/sad) or a bar graph showing the proportion of people with symptoms on day three with and without treatment, a bar graph of the average duration of symptoms, and a bar graph of proportion with symptoms on both days three and seven. Before completing the study, all participants were shown all the displays and detailed patient information about the treatment of sore throat and were asked to decide again. We calculated a relative importance score (RIS) by subtracting the VAS scores for the undesirable consequences of antibiotics from the VAS score for the benefit of symptom relief. We used logistic regression to determine the association between participants' RIS and their choice. 1,760 participants completed the study. There were statistically significant differences in the likelihood of choosing to go to the doctor in relation to different values (RIS). Of the four presentations, the bar graph of duration of symptoms resulted in decisions that were most consistent with the more fully informed second decision. Most participants also preferred this presentation (38%) and found it easiest to understand (37%). Participants shown the other three presentations were more likely to decide to go to the doctor based on their first decision than everyone based on the second decision. Participants preferred the graph using faces the least (14.4%).

conclusionsFor decisions about going to the doctor to get antibiotics for sore throat, treatment effects presented by a bar graph showing the duration of symptoms helped people make decisions more consistent with their values than treatment effects presented as graphical displays of proportions of people with sore throat following treatment. CLINICAL TRIALS REGISTRATION: ISRCTN58507086.

Indexed as

Decision MakingAdolescentAdultAgedAged, 80 and overAnti-Bacterial AgentsFemaleHumansMaleMiddle AgedPharyngitisRisk AssessmentYoung AdultAnti-Bacterial Agents

Identifiers

PMID19707579
PMCPMC2726763
OpenAlexW2017331102

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.