Evidence map›Paper›PMID 30985283›Full record

ArticleJMIR human factors2019

Live Usability Testing of Two Complex Clinical Decision Support Tools: Observational Study.

Safiya Richardson, David Feldstein, Thomas McGinn, Linda S Park, Sundas Khan, Rachel Hess, Paul D Smith, Rebecca Grochow Mishuris, Lauren McCullagh, Devin Mann

Open access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 4 pooled it
4.3field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 4 syntheses or guidelines pooled it, 21 citations in OpenAlex.

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  15. Human Factors and Organizational Issues.Yearbook of medical informatics · 2020
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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

10 authors at 5 institutions in 1 country.

Safiya Richardson *Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.ORCID http://orcid.org/0000-0002-8576-1102
David FeldsteinUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, United States.ORCID http://orcid.org/0000-0002-7287-6816
Thomas McGinnDonald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.ORCID http://orcid.org/0000-0003-1005-227X
Linda S ParkUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, United States.ORCID http://orcid.org/0000-0001-8008-343X
Sundas KhanDonald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.ORCID http://orcid.org/0000-0003-1153-6313
Rachel HessSchool of Medicine, University of Utah, Salt Lake City, UT, United States.ORCID http://orcid.org/0000-0003-2545-8504
Paul D SmithUniversity of Wisconsin School of Medicine and Public Health, Madison, WI, United States.ORCID http://orcid.org/0000-0002-2573-3847
Rebecca Grochow MishurisBoston University School of Medicine, Boston, MA, United States.ORCID http://orcid.org/0000-0002-4804-3128
Lauren McCullaghDonald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.ORCID http://orcid.org/0000-0002-0436-8094
Devin MannNew York University School of Medicine, New York, NY, United States.ORCID http://orcid.org/0000-0002-2099-0852
Donald & Barbara Zucker School of Medicine at Hofstra/Northwell · USUniversity of Wisconsin–Madison · USBoston University · USNew York University · USUniversity of Utah · US

Funding

Integrated Clinical Prediction Rules: Bringing Evidence to Diverse Primary Care SettingsR01AI108680 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FELDSTEIN, DAVID ALAN, MANN, DEVIN M · 2014 to 2024
$7.9M
Nudging Provider Adoption of Clinical Decision SupportK23HL145114 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RICHARDSON, SAFIYA · 2019 to 2023
$863k
NHLBI NIH HHS K23 HL145114NIAID NIH HHS R01 AI108680
6 · The paper itself

Abstract

backgroundPotential of the electronic health records (EHR) and clinical decision support (CDS) systems to improve the practice of medicine has been tempered by poor design and the resulting burden they place on providers. CDS is rarely tested in the real clinical environment. As a result, many tools are hard to use, placing strain on providers and resulting in low adoption rates. The existing CDS usability literature relies primarily on expert opinion and provider feedback via survey. This is the first study to evaluate CDS usability and the provider-computer-patient interaction with complex CDS in the real clinical environment.

objectiveThis study aimed to further understand the barriers and facilitators of meaningful CDS usage within a real clinical context.

methodsThis qualitative observational study was conducted with 3 primary care providers during 6 patient care sessions. In patients with the chief complaint of sore throat, a CDS tool built with the Centor Score was used to stratify the risk of group A Streptococcus pharyngitis. In patients with a chief complaint of cough or upper respiratory tract infection, a CDS tool built with the Heckerling Rule was used to stratify the risk of pneumonia. During usability testing, all human-computer interactions, including audio and continuous screen capture, were recorded using the Camtasia software. Participants' comments and interactions with the tool during clinical sessions and participant comments during a postsession brief interview were placed into coding categories and analyzed for generalizable themes.

resultsIn the 6 encounters observed, primary care providers toggled between addressing either the computer or the patient during the visit. Minimal time was spent listening to the patient without engaging the EHR. Participants mostly used the CDS tool with the patient, asking questions to populate the calculator and discussing the results of the risk assessment; they reported the ability to do this as the major benefit of the tool. All providers were interrupted during their use of the CDS tool by the need to refer to other sections of the chart. In half of the visits, patients' clinical symptoms challenged the applicability of the tool to calculate the risk of bacterial infection. Primary care providers rarely used the incorporated incentives for CDS usage, including progress notes and patient instructions.

conclusionsLive usability testing of these CDS tools generated insights about their role in the patient-provider interaction. CDS may contribute to the interaction by being simultaneously viewed by the provider and patient. CDS can improve usability and lessen the strain it places on providers by being short, flexible, and customizable to unique provider workflow. A useful component of CDS is being as widely applicable as possible and ensuring that its functions represent the fastest way to perform a particular task.

Indexed as

clinical decision supportclinical prediction ruleshealth informaticslive usabilityprovider adoptionusabilityusability testinguser experienceworkflow

Identifiers

PMID30985283
PMCPMC6487349
OpenAlexW2911791824

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.