Evidence map›Paper›PMID 27448407›Full record

ArticleBMC research notes2016

The effect of simulated narratives that leverage EMR data on shared decision-making: a pilot study.

Qing Zeng-Treitler, Bryan Gibson, Brent Hill, Jorie Butler, Carrie Christensen, Douglas Redd, Yijun Shao, Bruce Bray

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC research notes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. 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.

Qing Zeng-TreitlerDepartment of Biomedical Informatics, University of Utah, 421 Wakara Way #140, Salt Lake City, UT, 84108, USA.
Bryan GibsonDepartment of Biomedical Informatics, University of Utah, 421 Wakara Way #140, Salt Lake City, UT, 84108, USA.
Brent HillDepartment of Biomedical Informatics, University of Utah, 421 Wakara Way #140, Salt Lake City, UT, 84108, USA. b.hill@utah.edu.ORCID http://orcid.org/0000-0002-0123-3565
Jorie ButlerDepartment of Biomedical Informatics, University of Utah, 421 Wakara Way #140, Salt Lake City, UT, 84108, USA.
Carrie ChristensenDepartment of Biomedical Informatics, University of Utah, 421 Wakara Way #140, Salt Lake City, UT, 84108, USA.
Douglas ReddDepartment of Biomedical Informatics, University of Utah, 421 Wakara Way #140, Salt Lake City, UT, 84108, USA.
Yijun ShaoDepartment of Biomedical Informatics, University of Utah, 421 Wakara Way #140, Salt Lake City, UT, 84108, USA.
Bruce BrayDepartment of Biomedical Informatics, University of Utah, 421 Wakara Way #140, Salt Lake City, UT, 84108, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShared decision-making can improve patient satisfaction and outcomes. To participate in shared decision-making, patients need information about the potential risks and benefits of treatment options. Our team has developed a novel prototype tool for shared decision-making called hearts like mine (HLM) that leverages EHR data to provide personalized information to patients regarding potential outcomes of different treatments. These potential outcomes are presented through an Icon array and/or simulated narratives for each "person" in the display. In this pilot project we sought to determine whether the inclusion of simulated narratives in the display affects individuals' decision-making. Thirty subjects participated in this block-randomized study in which they used a version of HLM with simulated narratives and a version without (or in the opposite order) to make a hypothetical therapeutic decision. After each decision, participants completed a questionnaire that measured decisional confidence. We used Chi square tests to compare decisions across conditions and Mann-Whitney U tests to examine the effects of narratives on decisional confidence. Finally, we calculated the mean of subjects' post-experiment rating of whether narratives were helpful in their decision-making.

resultsIn this study, there was no effect of simulated narratives on treatment decisions (decision 1: Chi squared = 0, p = 1.0; decision 2: Chi squared = 0.574, p = 0.44) or Decisional confidence (decision 1, w = 105.5, p = 0.78; decision 2, w = 86.5, p = 0.28). Post-experiment, participants reported that narratives helped them to make decisions (mean = 3.3/4).

conclusionsWe found that simulated narratives had no measurable effect on decisional confidence or decisions and most participants felt that the narratives were helpful to them in making therapeutic decisions. The use of simulated stories holds promise for promoting shared decision-making while minimizing their potential biasing effect.

Indexed as

Decision MakingNarrationFemaleHumansMalePatient ParticipationPatient SatisfactionPilot ProjectsSurveys and QuestionnairesTreatment OutcomeBig dataConsumer health informaticsPatient decision aidPersonalizedShared decision-making

Identifiers

PMID27448407
PMCPMC4957847

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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.