Abstract

BackgroundPresentation of confidence intervals alongside information about treatment effects can support informed treatment choices in people with multiple sclerosis.We aimed to develop and pilot-test different written patient information materials explaining confidence intervals in people with relapsing-remitting multiple sclerosis. Further, a questionnaire on comprehension of confidence intervals was developed and piloted.MethodsWe developed different patient information versions aiming to explain confidence intervals. We used an illustrative example to test three different approaches: (1) short version, (2) “average weight” version and (3) “worm prophylaxis” version. Interviews were conducted using think-aloud and teach-back approaches to test feasibility and analysed using qualitative content analysis. To assess comprehension of confidence intervals, a six-item multiple choice questionnaire was developed and tested in a pilot randomised controlled trial using the online survey software UNIPARK. Here, the average weight version (intervention group) was tested against a standard patient information version on confidence intervals (control group). People with multiple sclerosis were invited to take part using existing mailing-lists of people with multiple sclerosis in Germany and were randomised using the UNIPARK algorithm. Participants were blinded towards group allocation. Primary endpoint was comprehension of confidence intervals, assessed with the six-item multiple choice questionnaire with six points representing perfect knowledge.ResultsFeasibility of the patient information versions was tested with 16 people with multiple sclerosis. For the pilot randomised controlled trial, 64 people with multiple sclerosis were randomised (intervention group: n = 36; control group: n = 28). More questions were answered correctly in the intervention group compared to the control group (mean 4.8 vs 3.8, mean difference 1.1 (95 % CI 0.42–1.69), p = 0.002). The questionnaire’s internal consistency was moderate (Cronbach's alpha = 0.56).ConclusionsThe pilot-phase shows promising results concerning acceptability and feasibility. Pilot randomised controlled trial results indicate that the patient information is well understood and that knowledge gain on confidence intervals can be assessed with a set of six questions.Trial registrationGerman Clinical Trials Register: DRKS00008561. Registered 8th of June 2015.Electronic supplementary materialThe online version of this article (doi:10.1186/s12911-016-0362-8) contains supplementary material, which is available to authorized users.

Highlights

  • Presentation of confidence intervals alongside information about treatment effects can support informed treatment choices in people with multiple sclerosis

  • Pilot randomised controlled trial results indicate that the patient information is well understood and that knowledge gain on confidence intervals can be assessed with a set of six questions

  • We decided to explain confidence intervals (CI) using a non-medical example followed by an Multiple sclerosis (MS) specific example and developed three different patient information (PI) on CI: 1) the average weight version 2) the worm prophylaxis version and 3) the short version

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Summary

Introduction

Presentation of confidence intervals alongside information about treatment effects can support informed treatment choices in people with multiple sclerosis. We aimed to develop and pilot-test different written patient information materials explaining confidence intervals in people with relapsing-remitting multiple sclerosis. The way statistical information is presented and explained has a high impact on understanding and interpretation [1]. In addition to information on absolute and relative risk reduction, thoughtfully developed information on confidence intervals (CI) for comparing treatment effects of immunotherapy options may be useful for communicating with people with multiple sclerosis (PwMS). Understanding the relevance of CI in addition to basic event rates and absolute risk reductions may support patients and clinicians when evaluating study results and making informed choices [3]. Approaches to explain CI to patients and consumers are rare [5] and no systematic evaluation exists

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