Evidence map›Paper›PMID 39415945›Full record

ArticleJAMIA open2024

Designing and testing clinical simulations of an early warning system for implementation in acute care settings.

Min-Jeoung Kang, Sarah C Rossetti, Graham Lowenthal, Christopher Knaplund, Li Zhou, Kumiko O Schnock, Kenrick D Cato, Patricia C Dykes

Abstract read
In one paragraph

Article in JAMIA open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

8 authors.

Min-Jeoung KangDivision of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02120, United States.ORCID https://orcid.org/0000-0001-9130-3741
Sarah C RossettiDepartment of Biomedical Informatics, Columbia University, New York, NY 10032, United States.ORCID https://orcid.org/0000-0003-2632-8867
Graham LowenthalDivision of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02120, United States.
Christopher KnaplundSchool of Nursing, Columbia University, New York, NY 10032, United States.
Li ZhouDivision of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02120, United States.
Kumiko O SchnockDivision of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02120, United States.
Kenrick D CatoUniversity of Pennsylvania School of Nursing, University of Pennsylvania, Philadelphia, PA 19104, United States.
Patricia C DykesDivision of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02120, United States.

Funding

Communicating Narrative Concerns Entered by RNs (CONCERN)R01NR016941 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Kenrick Dwain Cato, Sarah Collins Rossetti · 2017 to 2026
$6.7M
NINR NIH HHS R01 NR016941
6 · The paper itself

Abstract

Objectives: Conducting simulation testing with end-users is essential for facilitating successful implementation of new health information technologies. This study designed a standardized simulation testing process with a system prototype prior to implementation to help study teams identify the system's interpretability and feasibility from the end-user perspective and to effectively integrate new innovations into real-world clinical settings and workflows. Materials and Methods: A clinical simulation model was developed to test a new Clinical Decision Support (CDS) system outside of the clinical environment while maintaining high fidelity. A web-based CDS prototype, the "CONCERN Smart Application," which leverages clinical data to measure and express a patient's risk of deterioration on a 3-level scale ("low," "moderate," or "high"), and audiovisual-integrated materials, were used to lead simulation sessions. Results: A total of 6 simulation sessions with 17 nurses were held to investigate how nurses interact with the CONCERN Smart application and how it influences their critical thinking, and clinical responses. Four themes were extracted from the simulation debriefing sessions and used to inform implementation strategies. The strategies include how the CDS should be improved for practical real-world use. Discussion and Conclusions: Standardized simulation testing procedures identified and informed the necessary CDS improvements, the enhancements needed for real-world use, and the training requirements to effectively prepare end-users for system go-live.

Indexed as

clinical decision support systemsearly warning systemfeasibility studiesnursing informaticssimulation training

Identifiers

PMID39415945
PMCPMC11483109

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.