Evidence map›Paper›PMID 29941416›Full record

ArticleJournal of medical Internet research2018

Interactive Visual Displays for Interpreting the Results of Clinical Trials: Formative Evaluation With Case Vignettes.

Jiantao Bian, Charlene Weir, Prasad Unni, Damian Borbolla, Thomas Reese, Yik-Ki Jacob Wan, Guilherme Del Fiol

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Jiantao BianDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0001-5989-5177
Charlene WeirDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0002-8297-2860
Prasad UnniDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0002-8699-643X
Damian BorbollaDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0002-9803-6241
Thomas ReeseDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0002-1081-1670
Yik-Ki Jacob WanDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0001-9767-2046
Guilherme Del FiolDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0001-9954-6799

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
UNIVERSITY OF UTAH MEDICAL INFORMATICS TRAININGT15LM007124 · NLM · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Karen Louise Eilbeck · 1997 to 2026
$22.0M
Scalable Clinical Decision Support for Individualized Cancer Risk ManagementU24CA204800 · NCI · UNIVERSITY OF UTAH · PI DEL FIOL, GUILHERME, KAWAMOTO, KENSAKU · 2017 to 2021
$3.7M
Promoting Real World Implementation of an Evidence-Based Weight Management Intervention in Primary CareR18DK123372 · NIDDK · UNIVERSITY OF UTAH · PI CONROY, MARGARET B, KAWAMOTO, KENSAKU · 2020 to 2024
$3.1M
Meeting Clinicians' Information Needs with Highly Tailored Knowledge SummariesR01LM011416 · NLM · UNIVERSITY OF UTAH · PI DEL FIOL, GUILHERME · 2013 to 2016
$1.3M
NCATS NIH HHS UL1 TR002538NCI NIH HHS U24 CA204800NIDDK NIH HHS R18 DK123372NLM NIH HHS R01 LM011416NLM NIH HHS T15 LM007124
6 · The paper itself

Abstract

backgroundAt the point of care, evidence from randomized controlled trials (RCTs) is underutilized in helping clinicians meet their information needs.

objectiveTo design interactive visual displays to help clinicians interpret and compare the results of relevant RCTs for the management of a specific patient, and to conduct a formative evaluation with physicians comparing interactive visual versus narrative displays.

methodsWe followed a user-centered and iterative design process succeeded by development of information display prototypes as a Web-based application. We then used a within-subjects design with 20 participants (8 attendings and 12 residents) to evaluate the usability and problem-solving impact of the information displays. We compared subjects' perceptions of the interactive visual displays versus narrative abstracts.

resultsThe resulting interactive visual displays present RCT results side-by-side according to the Population, Intervention, Comparison, and Outcome (PICO) framework. Study participants completed 19 usability tasks in 3 to 11 seconds with a success rate of 78% to 100%. Participants favored the interactive visual displays over narrative abstracts according to perceived efficiency, effectiveness, effort, user experience and preference (all P values <.001).

conclusionsWhen interpreting and applying RCT findings to case vignettes, physicians preferred interactive graphical and PICO-framework-based information displays that enable direct comparison of the results from multiple RCTs compared to the traditional narrative and study-centered format. Future studies should investigate the use of interactive visual displays to support clinical decision making in care settings and their effect on clinician and patient outcomes.

Indexed as

Clinical Trials as TopicData DisplayDecision MakingFemaleHumansInformation Seeking BehaviorMaleclinical decision-makingclinician information needsinformation displayinformation foraging theoryinformation seeking behavior

Identifiers

PMID29941416
PMCPMC6037946

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.