Evidence map›Paper›PMID 29930968›Full record

ArticleEGEMS (Washington, DC)2017

Using Heuristic Evaluation to Enhance the Visual Display of a Provider Dashboard for Patient-Reported Outcomes.

Cynthia LeRouge, Mary Beth Hasselquist, Liz Kellogg, Elizabeth Austin, Brett Fey, Andrea Hartzler, David R Flum, Danielle C Lavallee

Abstract read
In one paragraph

Article in EGEMS (Washington, DC), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

8 authors.

Cynthia LeRougeUniversity of Washington.
Mary Beth HasselquistUniversity of Washington.
Liz KelloggUniversity of Washington.
Elizabeth AustinUniversity of Washington.
Brett FeyUniversity of Washington.
Andrea HartzlerGroup Health Research Institute.
David R FlumUniversity of Washington.
Danielle C LavalleeUniversity of Washington.

Funding

Developing Design Principles to Integrate PROs into clinical practice through HIT: Data, user experience, and workflow requirements for PRO DashboardsR01HS023785 · AHRQ · UNIVERSITY OF WASHINGTON · PI LAVALLEE, DANIELLE MARIE · 2015 to 2019
$2.4M
AHRQ HHS R01 HS023785
6 · The paper itself

Abstract

introductionWith the rising use of patient-reported outcomes (PRO) in clinical practice, there is an increasing need to understand the data visualization needs of clinical teams to support their effective use of PRO data for both individual patient decision making and broader population health applications. A human-centered design (HCD) approach can optimize the visual design of an interactive PRO system. INCLUDING HEURISTIC EVALUATION IN THE HCD TOOLBOX: Recent literature regarding the use of HCD to design and develop PRO visualizations demonstrates the benefits of iterative methods that engage representative users who are likely to use the system in the future. However, the literature has not explored the additive value of other HCD methods such as heuristic evaluation, which involves expert examination of the interface with respect to recognized usability principles, the heuristics. INSIGHTS FROM USING HEURISTIC EVALUATION: Our experience in using heuristic evaluation to enhance the design of a PRO dashboard led to several recommendations to improve the display, accessibility, and interpretability of the dashboard's data. Heuristic evaluation can serve as a complement to HCD methods that directly engage users and thereby enhance usability.

Indexed as

Data Use and QualityHealth Information TechnologyHeuristic EvaluationHuman Centered DesignPatient Reported OutcomesUser Centered Design

Identifiers

PMID29930968
PMCPMC5983070

What OpenQuestion holds

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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.