Evidence map›Paper›PMID 30988601›Full record

ArticlePatient preference and adherence2019

The Optimizing-Risk-Communication (OptRisk) randomized trial - impact of decision-aid-based consultation on adherence and perception of cardiovascular risk.

Charles Christian Adarkwah, Nikita Jegan, Monika Heinzel-Gutenbrunner, Felicitas Kühne, Uwe Siebert, Uwe Popert, Norbert Donner-Banzhoff, Sarah Kürwitz

Abstract read
In one paragraph

Article in Patient preference and adherence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
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  5. Article
  6. Article
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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

8 authors.

Charles Christian AdarkwahDepartment of General Practice and Family Medicine, University of Marburg, Marburg, Germany, charles.adarkwah@uni-siegen.de.
Nikita JeganDepartment of General Practice and Family Medicine, University of Marburg, Marburg, Germany, charles.adarkwah@uni-siegen.de.
Monika Heinzel-GutenbrunnerMH Statistik Beratung, Marburg, Germany.
Felicitas KühneInstitute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health and Health Technology Assessment, University for Health Sciences, Medical Informatics and Technology, Innsbruck, Austria.
Uwe SiebertInstitute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health and Health Technology Assessment, University for Health Sciences, Medical Informatics and Technology, Innsbruck, Austria.
Uwe PopertDepartment of General Practice, University of Göttingen, Göttingen, Germany.
Norbert Donner-BanzhoffDepartment of General Practice and Family Medicine, University of Marburg, Marburg, Germany, charles.adarkwah@uni-siegen.de.
Sarah KürwitzDepartment of General Practice and Family Medicine, University of Marburg, Marburg, Germany, charles.adarkwah@uni-siegen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShared decision-making is a well-established approach to increasing patient participation in medical decisions. Increasingly, using lifetime-risk or time-to-event (TTE) formats has been suggested, as these might have advantages in comparison with a 10-year risk prognosis, particularly for younger patients, whose lifetime risk for some events may be considerably greater than their 10-year risk. In this study, a randomized trial, the most popular 10-year risk illustration in the decision-aid software Arriba (emoticons), is compared with a newly developed TTE illustration, which is based on a Markov model. The study compares the effect of these two methods of presenting cardiovascular risk to patients on their subsequent adherence to intervention.

methodsA total of 294 patients were interviewed 3 months after they had had a consultation with their GP on cardiovascular risk prevention. Adherence to behavioral change or medication intervention was measured as the primary outcome. The latter was expressed as a generated score. Furthermore, different secondary outcomes were measured, ie, patient perception of risk and self-rated importance of avoiding a cardiovascular event, as well as patient numeracy, which was used as a proxy for patient health literacy.

resultsOverall, no significant difference in patient adherence was found depending on risk representation. In the emoticon group, the number of interventions had a significant impact on the adherence score (

conclusionThe TTE format is an appropriate means for counseling patients. Adherence is a very complex construct, which cannot be fully explained by our findings. The study results support our call for considering TTE illustrations as a valuable alternative to current decision-support tools covering cardiovascular prevention. Nevertheless, further research is needed to shed light on patient motivation and adherence with regard to cardiovascular risk prevention.

trial registrationThe study was registered at the German Clinical Trials Register and at the WHO International Clinical Trials Register Platform (ICTRP, ID DRKS00004933); registered February 2, 2016 (retrospectively registered).

Indexed as

adherenceArribacardiovascular diseasedecision aidlifetime riskrandomized trialrisk assessmentrisk perceptionshared decision-making 10-year prognosistime to event

Identifiers

PMID30988601
PMCPMC6441552

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LicenceCC BY-NC
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Registered trials

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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.