Evidence map›Paper›PMID 27981688›Full record

Trial reportHealth expectations : an international journal of public participation in health care and health policy2017

A new graphical format to communicate treatment effects to patients-A web-based randomized controlled trial.

Jürgen Kasper, Adrian van de Roemer, Jana Pöttgen, Anne Rahn, Imke Backhus, Yasemin Bay, Sascha Köpke, Christoph Heesen

2 registry-linked trialsAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Health expectations : an international journal of public participation in health care and health policy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 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.

NCT04102540 nacompletednot on this mapstarted 2019, after this paper: background citation

Information Visualizations to Facilitate HIV-related Patient-provider Communication in New York City (Info Viz: HIV-NYC)

TypeinterventionalSponsorColumbia UniversityRan2019 to 2020Enrolled32ConditionsHealth CommunicationArmsInfographic intervention
NCT04564209 nacompletednot on this mapstarted 2021, after this paper: background citation

Information Visualizations to Facilitate Clinician-patient Communication in HIV Care (Info Viz: HIV)

TypeinterventionalSponsorUniversity of Colorado, DenverRan2021 to 2023Enrolled164ConditionsHIV, Communication ResearchArmsInfo Viz for Health
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Information provision for people with multiple sclerosis.The Cochrane database of systematic reviews · 2018
    Pooled it
  4. Trial
  5. Article
  6. Article
  7. Ensuring Risk Awareness of Vulnerable Patients in the Post-Montgomery Era: Treading a Fine Line.Health care analysis : HCA : journal of health philosophy and policy · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
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

8 authors.

Jürgen KasperDepartment of Health and Caring Sciences, Faculty of Health Sciences, The Arctic University of Norway, Tromsø, Norway.
Adrian van de RoemerInstitute on Didactics in Medicine, Michelstadt, Germany.
Jana PöttgenDepartment of Neurology, Institute for Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Anne RahnUnit of Health Sciences and Education, MIN Faculty, University of Hamburg, Hamburg, Germany.
Imke BackhusDepartment of Neurology, Institute for Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Yasemin BayDepartment of Neurology, Institute for Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Sascha KöpkeInstitute of Social Medicine and Epidemiology, University of Lübeck, Lübeck, Germany.
Christoph HeesenDepartment of Neurology, Institute for Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePatients making treatment decisions require understandable evidence-based information. However, evidence on graphical presentation of benefits and side-effects of medical treatments is not conclusive. The study evaluated a new space-saving format, CLARIFIG (clarifying risk figures), aiming to facilitate accuracy of comprehension.

methodsCLARIFIG displays groups of patients with and without treatment benefits as coloured sectors of a proportional bar graph representing in total 100 patients. Supplementary icons indicate the corresponding group's actual condition. The study used an application showing effects of immunotherapy intended to slow disease progression in multiple sclerosis (MS). In a four-arm web-based randomized controlled trial, CLARIFIG was compared to the reference standard, multifigure pictographs (MFP), regarding comprehension (primary outcome) and processing time. Both formats were presented as static and animated versions. People with MS were recruited through the website of the German MS society.

resultsSix hundred and eighty-two patients were randomized and analysed for the primary end point. There were no differences in comprehension rates (MFP

conclusionComprehension of the new format is comparable to MFP. CLARIFIG has the potential to simplify presentation in more complex contexts such as comparison of several treatment options in patient decision aids, but further studies are needed.

Indexed as

CommunicationDecision Support TechniquesPatient Education as TopicAdultComputer GraphicsDecision MakingFemaleHumansInternetMalePatient PreferenceRisk Assessmentevidence based medicinemedical decision makingmultiple sclerosispatient educationpatient preference

Identifiers

PMID27981688
PMCPMC5513016

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.