Literature DB >> 26823204

The differential effects of presenting uncertainty around benefits and harms on treatment decision making.

Jovana Sladakovic1, Jesse Jansen1, Jolyn Hersch1, Robin Turner1, Kirsten McCaffery2.   

Abstract

OBJECTIVE: The study aimed to determine the effects of presenting uncertainty of quantitative risk information about medication harms and benefits on intention to take medication and psychosocial outcomes.
METHODS: 147 participants were randomized into four hypothetical scenarios: (1) harm/benefit presented as point-estimates, (2) harm as point/benefit as range, (3) harm as range/benefit as point, (4) harm/benefit as ranges. We assessed participants' intention to take medication, understanding, decisional conflict, and perceived benefit and harm. Participants viewed the scenario again with swapped range vs. point-estimate presentations; intention was re-assessed at time 2.
RESULTS: There were no significant differences in intention across arms (p=0.93). There was an increase in intention to take medication between time 1 and time 2 in arm 4 (both harm/benefit presented as ranges, then point estimates). Understanding was greater when information was presented as point estimates compared to ranges, for both benefit (all questions correct: 74% vs 42%; χ2=15.28, df=2, p<0.001) and harm (all questions correct: 70% vs 43%; χ2=11.19, df=2, p=0.004)
CONCLUSION: Changes in benefit information appear to be more influential in changing intention to take medication than harm information. Presenting uncertainty decreases understanding of information. PRACTICE IMPLICATION: The findings may help develop optimal ways to present uncertainty.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Risk communication; Shared decision making; Uncertainty

Mesh:

Year:  2016        PMID: 26823204     DOI: 10.1016/j.pec.2016.01.009

Source DB:  PubMed          Journal:  Patient Educ Couns        ISSN: 0738-3991


  3 in total

1.  Numeracy and Understanding of Quantitative Aspects of Predictive Models: A Pilot Study.

Authors:  Gary E Weissman; Kuldeep N Yadav; Vanessa Madden; Katherine R Courtright; Joanna L Hart; David A Asch; Marilyn M Schapira; Scott D Halpern
Journal:  Appl Clin Inform       Date:  2018-08-29       Impact factor: 2.342

2.  How is cervical cancer screening information communicated in UK websites? Cross-sectional analysis of content and quantitative presentation formats.

Authors:  Yasmina Okan; Samuel G Smith; Wändi Bruine de Bruin
Journal:  BMJ Open       Date:  2019-10-28       Impact factor: 2.692

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

Authors:  Roland B Büchter; Cornelia Betsch; Martina Ehrlich; Dennis Fechtelpeter; Ulrich Grouven; Sabine Keller; Regina Meuer; Constanze Rossmann; Andreas Waltering
Journal:  J Med Internet Res       Date:  2020-08-10       Impact factor: 5.428

  3 in total

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