Evidence map›Paper›PMID 30249579›Full record

ArticleJMIR human factors2018

A Patient-Facing Diabetes Dashboard Embedded in a Patient Web Portal: Design Sprint and Usability Testing.

William Martinez, Anthony L Threatt, S Trent Rosenbloom, Kenneth A Wallston, Gerald B Hickson, Tom A Elasy

Abstract read
In one paragraph

Article in JMIR human factors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 4 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

28 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Perceptions of Using Multiple Mobile Health Devices to Support Self-Management Among Adults With Type 2 Diabetes: A Qualitative Descriptive Study.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2021
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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

6 authors.

William MartinezDivision of General Internal Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID http://orcid.org/0000-0002-3155-4386
Anthony L ThreattHealth Information Technology, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID http://orcid.org/0000-0002-7535-0174
S Trent RosenbloomDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID http://orcid.org/0000-0001-7455-2260
Kenneth A WallstonSchool of Nursing, Vanderbilt University, Nashville, TN, United States.ORCID http://orcid.org/0000-0001-6310-0306
Gerald B HicksonQuality, Safety & Risk Prevention, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID http://orcid.org/0000-0002-8454-8692
Tom A ElasyDivision of General Internal Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID http://orcid.org/0000-0002-1651-8387

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Vanderbilt Center for Diabetes Translation ResearchP30DK092986 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ROTHMAN, RUSSELL L. · 2011 to 2020
$6.7M
Enhancing patient activation in diabetes care using social and goal-based comparisonsK23DK106511 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MARTINEZ, WILLIAM · 2015 to 2019
$869k
NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1 TR002243NIDDK NIH HHS K23 DK106511NIDDK NIH HHS P30 DK092986
6 · The paper itself

Abstract

backgroundHealth apps and Web-based interventions designed for patients with diabetes offer novel and scalable approaches to engage patients and improve outcomes. However, careful attention to the design and usability of these apps and Web-based interventions is essential to reduce the barriers to engagement and maximize use.

objectiveThe aim of this study was to apply design sprint methodology paired with mixed-methods, task-based usability testing to design and evaluate an innovative, patient-facing diabetes dashboard embedded in an existing patient portal and integrated into an electronic health record.

methodsWe applied a 5-day design sprint methodology developed by Google Ventures (Alphabet Inc, Mountain View, CA) to create our initial dashboard prototype. We identified recommended strategies from the literature for using patient-facing technologies to enhance patient activation and designed a dashboard functionality to match each strategy. We then conducted a mixed-methods, task-based usability assessment of dashboard prototypes with individual patients. Measures included validated metrics of task performance on 5 common and standardized tasks, semistructured interviews, and a validated usability satisfaction questionnaire. After each round of usability testing, we revised the dashboard prototype in response to usability findings before the next round of testing until the majority of participants successfully completed tasks, expressed high satisfaction, and identified no new usability concerns (ie, stop criterion was met).

resultsThe sample (N=14) comprised 5 patients in round 1, 3 patients in round 2, and 6 patients in round 3, at which point we reached our stop criterion. The participants' mean age was 63 years (range 45-78 years), 57% (8/14) were female, and 50% (7/14) were white. Our design sprint yielded an initial patient-facing diabetes dashboard prototype that displayed and summarized 5 measures of patients' diabetes health status (eg, hemoglobin A

conclusionsOur results demonstrate the utility of the design sprint methodology paired with mixed-methods, task-based usability testing to efficiently and effectively design a patient-facing, Web-based diabetes dashboard that is satisfying for patients to use.

Indexed as

consumer health informaticsdiabetes mellitus, type 2patient portalsqualitative research

Identifiers

PMID30249579
PMCPMC6231745

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.