Evidence map›Paper›PMID 32773375›Full record

Trial reportJournal of medical Internet research2020

Communicating Uncertainty in Written Consumer Health Information to the Public: Parallel-Group, Web-Based Randomized Controlled Trial.

Roland B Büchter, Cornelia Betsch, Martina Ehrlich, Dennis Fechtelpeter, Ulrich Grouven, Sabine Keller, Regina Meuer, Constanze Rossmann, Andreas Waltering

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. 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

9 authors.

Roland B BüchterInstitute for Quality and Efficiency in Health Care (IQWiG), Cologne, Germany.ORCID 0000-0002-2437-4790
Cornelia BetschMedia and Communication Science, University of Erfurt, Erfurt, Germany.ORCID 0000-0002-2856-7303
Martina EhrlichInstitute for Quality and Efficiency in Health Care (IQWiG), Cologne, Germany.ORCID 0000-0002-1784-3683
Dennis FechtelpeterInstitute for Quality and Efficiency in Health Care (IQWiG), Cologne, Germany.ORCID 0000-0002-0783-8813
Ulrich GrouvenInstitute for Quality and Efficiency in Health Care (IQWiG), Cologne, Germany.ORCID 0000-0001-8049-2313
Sabine KellerInstitute for Quality and Efficiency in Health Care (IQWiG), Cologne, Germany.ORCID 0000-0002-4582-0817
Regina MeuerInstitute for Quality and Efficiency in Health Care (IQWiG), Cologne, Germany.ORCID 0000-0001-5086-2862
Constanze RossmannMedia and Communication Science, University of Erfurt, Erfurt, Germany.ORCID 0000-0002-4068-4369
Andreas WalteringInstitute for Quality and Efficiency in Health Care (IQWiG), Cologne, Germany.ORCID 0000-0001-8568-9430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUncertainty is integral to evidence-informed decision making and is of particular importance for preference-sensitive decisions. Communicating uncertainty to patients and the public has long been identified as a goal in the informed and shared decision-making movement. Despite this, there is little quantitative research on how uncertainty in health information is perceived by readers.

objectiveThe aim of this study was to examine the impact of different uncertainty descriptions regarding the evidence for a treatment effect in a written research summary for the public.

methodsWe developed 8 versions of a research summary on a fictitious drug for tinnitus with varying degrees (Q1), sources (Q2), and magnitudes of uncertainty (Q3). We recruited 2099 members of the German public from a web-based research panel. Of these, 1727 fulfilled the inclusion criteria and were randomly presented with one of these research summaries. Randomization was conducted by using a centralized computer with a random number generator. Web-based recruitment and data collection were fully automated. Participants were not aware of the purpose of the study and alternative presentations. We measured the following outcomes: perception of the treatment effectiveness (primary), certainty in the judgement of treatment effectiveness, perception of the body of evidence, text quality, and intended decision. The outcomes were self-assessed.

resultsFor the primary outcome, we did not find a global effect for Q1 and Q2 (P=.25 and P=.73), but we found a global effect for Q3 (P=.048). Pairwise comparisons showed a weaker perception of treatment effectiveness for the research summary with 3 sources of uncertainty compared to the version with 2 sources of uncertainty (P=.04). Specifically, the proportion of the participants in the group with 3 sources of uncertainty that perceived the drug as possibly beneficial was 9% lower than that of the participants in the group with 2 sources of uncertainty (92/195, 47.2% vs 111/197, 56.3%, respectively). The proportion of the participants in the group with 3 sources of uncertainty that considered the drug to be of unclear benefit was 8% higher than that of the participants in the group with 2 sources of uncertainty (72/195, 36.9% vs 57/197, 28.9%, respectively). However, there was no significant difference compared to the version with 1 source of uncertainty (P=.31). We did not find any meaningful differences between the research summaries for the secondary outcomes.

conclusionsCommunicating even a large magnitude of uncertainty for a treatment effect had little impact on the perceived effectiveness. Efforts to improve public understanding of research are needed to improve the understanding of evidence-based health information.

trial registrationGerman Clinical Trials Register DRKS00015911, https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00015911. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/13425.

Indexed as

UncertaintyConsumer Health InformationDecision MakingFemaleHumansInternetMaleText Messagingconsumer health informationdecision makinguncertainty

Identifiers

PMID32773375
PMCPMC7445603

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.