Evidence map›Paper›PMID 39877239›Full record

ArticleProceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting2018

SIGNALING SEPSIS SCENARIO DEVELOPMENT & VALIDATION.

Danielle L M Weldon, Rebecca Kowalski, Laura Schubel, Brett Schuchardt, Ryan Arnold, Muge Capan, Joseph Blumenthal, Ella Franklin, Ken Catchpole, F Jacob Seagull and 2 more

Abstract read
In one paragraph

Article in Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Danielle L M WeldonNational Center for Human Factors in Healthcare, MedStar Health, Washington DC, USA.
Rebecca KowalskiNational Center for Human Factors in Healthcare, MedStar Health, Washington DC, USA.
Laura SchubelNational Center for Human Factors in Healthcare, MedStar Health, Washington DC, USA.
Brett SchuchardtWake Forest School of Medicine, Winston-Salem NC, USA.
Ryan ArnoldDepartment of Emergency Medicine, Drexel University School of Medicine, Philadelphia PA, USA.
Muge CapanLebow College of Business, Drexel University, Philadelphia PA, USA.
Joseph BlumenthalNational Center for Human Factors in Healthcare, MedStar Health, Washington DC, USA.
Ella FranklinNational Center for Human Factors in Healthcare, MedStar Health, Washington DC, USA.
Ken CatchpoleClinical Practice and Human Factors, Medical University of South Carolina, Charleston, SC, USA.
F Jacob SeagullDepartment of Learning Health Sciences, University of Michigan, Ann Arbor MI, USA.
J Sanford SchwartzWharton School of Business, University of Pennsylvania, Philadelphia PA, USA.
Kristen MillerNational Center for Human Factors in Healthcare, MedStar Health, Washington DC, USA.

Funding

NIGMS NIH HHS L30 GM120757
6 · The paper itself

Abstract

Patient-based scenario-driven usability tests are routinely created for health information technology and clinical decision support evaluations. Due to low clinician awareness of sepsis, a study was undertaken to understand clinician performance and preference of different display types for sepsis clinical decision support through multi-centered usability testing. Patient-based clinical scenarios were created to mimic the environment in which providers would interact with clinical decision support. The data provided in the scenarios were drawn from real patient cases from two sepsis databases, including: demographics, visit/operational details, medical history (comorbidities, assessments, vital signs, laboratory values, clinician documentation), and patient disposition/outcomes. The purpose of this work is to inform electronic health record alert optimization and clinical practice workflow to support the effective and timely delivery of high quality sepsis care. This paper discusses the methodology, selection, and validation of patient-based cases used as the clinical scenarios in usability testing.

Identifiers

PMID39877239
PMCPMC11774273

What OpenQuestion holds

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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.