Evidence map›Paper›PMID 34783669›Full record

ArticleJournal of medical Internet research2021

Developing and Demonstrating the Viability and Availability of the Multilevel Implementation Strategy for Syncope Optimal Care Through Engagement (MISSION) Syncope App: Evidence-Based Clinical Decision Support Tool.

Shiraz Amin, Vedant Gupta, Gaixin Du, Colleen McMullen, Matthew Sirrine, Mark V Williams, Susan S Smyth, Romil Chadha, Seth Stearley, Jing Li

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
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  5. Review
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.

Shiraz Amin *Performance Analytics Center of Excellence, University of Kentucky HealthCare, Lexington, KY, United States.ORCID 0000-0002-2794-3805
Vedant Gupta *Department of Cardiovascular Medicine, University of Kentucky HealthCare, Lexington, KY, United States.ORCID 0000-0002-0739-153X
Gaixin DuCenter for Health Services Research, University of Kentucky, Lexington, KY, United States.ORCID 0000-0002-4616-7725
Colleen McMullenDepartment of Cardiovascular Medicine, University of Kentucky HealthCare, Lexington, KY, United States.ORCID 0000-0003-0765-8780
Matthew SirrineCenter for Health Services Research, University of Kentucky, Lexington, KY, United States.ORCID 0000-0002-2856-2430
Mark V WilliamsDivision of Hospital Medicine, Washington University School of Medicine, St. Louis, MO, United States.ORCID 0000-0001-6107-0457
Susan S SmythCollege of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, United States.ORCID 0000-0001-6840-7892
Romil ChadhaDivision of Hospital Medicine, University of Kentucky HealthCare, Lexington, KY, United States.ORCID 0000-0002-6762-5334
Seth StearleyDepartment of Emergency Medicine, University of Kentucky HealthCare, Lexington, KY, United States.ORCID 0000-0002-8431-6269
Jing LiDepartment of Medicine, Washington University School of Medicine, St. Louis, MO, United States.ORCID 0000-0003-3433-5661

Funding

Project MISSION: Developing a multicomponent, Multilevel Implementation Strategy for Syncope OptImalCare thrOugh eNgagementU01HL143508 · NHLBI · UNIVERSITY OF KENTUCKY · PI LI, JING, WILLIAMS, MARK V · 2018 to 2019
$1.0M
NHLBI NIH HHS U01 HL143508
6 · The paper itself

Abstract

backgroundSyncope evaluation and management is associated with testing overuse and unnecessary hospitalizations. The 2017 American College of Cardiology/American Heart Association (ACC/AHA) Syncope Guideline aims to standardize clinical practice and reduce unnecessary services. The use of clinical decision support (CDS) tools offers the potential to successfully implement evidence-based clinical guidelines. However, CDS tools that provide an evidence-based differential diagnosis (DDx) of syncope at the point of care are currently lacking.

objectiveWith input from diverse health systems, we developed and demonstrated the viability of a mobile app, the Multilevel Implementation Strategy for Syncope optImal care thrOugh eNgagement (MISSION) Syncope, as a CDS tool for syncope diagnosis and prognosis.

methodsDevelopment of the app had three main goals: (1) reliable generation of an accurate DDx, (2) incorporation of an evidence-based clinical risk tool for prognosis, and (3) user-based design and technical development. To generate a DDx that incorporated assessment recommendations, we reviewed guidelines and the literature to determine clinical assessment questions (variables) and likelihood ratios (LHRs) for each variable in predicting etiology. The creation and validation of the app diagnosis occurred through an iterative clinician review and application to actual clinical cases. The review of available risk score calculators focused on identifying an easily applied and valid evidence-based clinical risk stratification tool. The review and decision-making factors included characteristics of the original study, clinical variables, and validation studies. App design and development relied on user-centered design principles. We used observations of the emergency department workflow, storyboard demonstration, multiple mock review sessions, and beta-testing to optimize functionality and usability.

resultsThe MISSION Syncope app is consistent with guideline recommendations on evidence-based practice (EBP), and its user interface (UI) reflects steps in a real-world patient evaluation: assessment, DDx, risk stratification, and recommendations. The app provides flexible clinical decision making, while emphasizing a care continuum; it generates recommendations for diagnosis and prognosis based on user input. The DDx in the app is deemed a pragmatic model that more closely aligns with real-world clinical practice and was validated using actual clinical cases. The beta-testing of the app demonstrated well-accepted functionality and usability of this syncope CDS tool.

conclusionsThe MISSION Syncope app development integrated the current literature and clinical expertise to provide an evidence-based DDx, a prognosis using a validated scoring system, and recommendations based on clinical guidelines. This app demonstrates the importance of using research literature in the development of a CDS tool and applying clinical experience to fill the gaps in available research. It is essential for a successful app to be deliberate in pursuing a practical clinical model instead of striving for a perfect mathematical model, given available published evidence. This hybrid methodology can be applied to similar CDS tool development.

Indexed as

Decision Support Systems, ClinicalMobile ApplicationsEmergency Service, HospitalEvidence-Based PracticeHumansSyncopecardiologymedical diagnosismedicinemobile applicationsprognostics and healthsyncope

Identifiers

PMID34783669
PMCPMC8663445

What OpenQuestion holds

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LicenceCC BY
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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.