Evidence map›Paper›PMID 33718788›Full record

ArticleMayo Clinic proceedings. Innovations, quality & outcomes2021

Usability of a Digital Registry to Promote Secondary Prevention for Peripheral Artery Disease Patients.

Alisha P Chaudhry, Ronald A Hankey, Vinod C Kaggal, Huzefa Bhopalwala, David A Liedl, Paul W Wennberg, Thom W Rooke, Christopher G Scott, Magali P Disdier Moulder, Abby K Hendricks and 7 more

Open access · goldAbstract read
In one paragraph

Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2021. 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
0.2field-weighted citation impact, top 42% of its field
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, 4 citations in OpenAlex.

  1. Article
  2. 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

17 authors at 2 institutions in 1 country.

Alisha P ChaudhryDepartment of Cardiovascular Medicine, Mayo Clinic and Mayo Foundation, Rochester, MN.
Ronald A HankeyInformation Technology, Mayo Clinic and Mayo Foundation, Rochester, MN.
Vinod C KaggalDepartment of Health Sciences Research, Mayo Clinic and Mayo Foundation, Rochester, MN.
Huzefa BhopalwalaDepartment of Cardiovascular Medicine, Mayo Clinic and Mayo Foundation, Rochester, MN.
David A LiedlDepartment of Cardiovascular Medicine, Mayo Clinic and Mayo Foundation, Rochester, MN.
Paul W WennbergDepartment of Cardiovascular Medicine, Mayo Clinic and Mayo Foundation, Rochester, MN.
Thom W RookeDepartment of Cardiovascular Medicine, Mayo Clinic and Mayo Foundation, Rochester, MN.
Christopher G ScottDepartment of Health Sciences Research, Mayo Clinic and Mayo Foundation, Rochester, MN.
Magali P Disdier MoulderDepartment of Pharmacy, Mayo Clinic and Mayo Foundation, Rochester, MN.
Abby K HendricksDepartment of Pharmacy, Mayo Clinic and Mayo Foundation, Rochester, MN.
Ana I CasanegraDepartment of Cardiovascular Medicine, Mayo Clinic and Mayo Foundation, Rochester, MN.
Robert D McBaneDepartment of Cardiovascular Medicine, Mayo Clinic and Mayo Foundation, Rochester, MN.
Jane L ShellumRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic and Mayo Foundation, Rochester, MN.
Iftikhar J KulloDepartment of Cardiovascular Medicine, Mayo Clinic and Mayo Foundation, Rochester, MN.
Rick A NishimuraDepartment of Cardiovascular Medicine, Mayo Clinic and Mayo Foundation, Rochester, MN.
Rajeev ChaudhryRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic and Mayo Foundation, Rochester, MN.
Adelaide M Arruda-OlsonDepartment of Cardiovascular Medicine, Mayo Clinic and Mayo Foundation, Rochester, MN.
Mayo Clinic · USMayo Clinic in Arizona · US

Funding

Novel Informatics Approaches for Ascertainment of PAD Status and Adverse OutcomesK01HL124045 · NHLBI · MAYO CLINIC ROCHESTER · PI ARRUDA-OLSON, ADELAIDE MARIA MARTINS · 2015 to 2019
$820k
NHLBI NIH HHS K01 HL124045
6 · The paper itself

Abstract

objectiveTo evaluate usability of a quality improvement tool that promotes guideline-based care for patients with peripheral arterial disease (PAD). PATIENTS AND

methodsThe study was conducted from July 19, 2018, to August 21, 2019. We compared the usability of a PAD cohort knowledge solution (CKS) with standard management supported by an electronic health record (EHR). Two scenarios were developed for usability evaluation; the first for the PAD-CKS while the second evaluated standard EHR workflow. Providers were asked to provide opinions about the PAD-CKS tool and to generate a System Usability Scale (SUS) score. Metrics analyzed included time required, number of mouse clicks, and number of keystrokes.

resultsUsability evaluations were completed by 11 providers. SUS for the PAD-CKS was excellent at 89.6. Time required to complete 21 tasks in the CKS was 4 minutes compared with 12 minutes for standard EHR workflow (median,

conclusionsUsability evaluation of the PAD-CKS tool demonstrated time savings, a high SUS score, and a reduction of mouse clicks and keystrokes for task completion compared to standard workflow using the EHR. Provider feedback regarding the strengths and weaknesses also created opportunities for iterative improvement of the PAD-CKS tool.

Indexed as

ACEI, angiotensin-converting enzyme inhibitorARB, angiotensin II receptor blockerCKS, cohort knowledge solutionEHR, electronic health recordNLP, natural language processingPAD, peripheral artery diseaseSUS, Systems Usability ScoreUDP, unified data platform

Identifiers

PMID33718788
PMCPMC7930799
OpenAlexW3110222722

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.