Evidence map›Paper›PMID 32999737›Full record

ArticleAdvances in simulation (London, England)2020

A novel in situ simulation framework for introduction of a new technology: the 3-Act-3-Debrief model.

Lisa T Barker, William F Bond, Andrew L Vincent, Kimberly L Cooley, Jeremy S McGarvey, John A Vozenilek, Emilie S Powell

Abstract read
In one paragraph

Article in Advances in simulation (London, England), 2020. 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. Article
  2. LeveragingTelemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024
    Article
  3. Article
  4. Article
  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

7 authors.

Lisa T BarkerJump Simulation (an OSF Healthcare and University of Illinois College of Medicine at Peoria Collaboration), OSF HealthCare and University of Illinois College of Medicine, 1306 N. Berkeley Avenue, Peoria, IL USA.
William F BondJump Simulation (an OSF Healthcare and University of Illinois College of Medicine at Peoria Collaboration), OSF HealthCare and University of Illinois College of Medicine, 1306 N. Berkeley Avenue, Peoria, IL USA.
Andrew L VincentDepartment of Emergency Medicine, OSF HealthCare, University of Illinois College of Medicine, Peoria, USA.
Kimberly L CooleyJump Simulation (an OSF Healthcare and University of Illinois College of Medicine at Peoria Collaboration), OSF HealthCare and University of Illinois College of Medicine, 1306 N. Berkeley Avenue, Peoria, IL USA.ORCID 0000-0003-2032-3475
Jeremy S McGarveyJump Simulation (an OSF Healthcare and University of Illinois College of Medicine at Peoria Collaboration), OSF HealthCare and University of Illinois College of Medicine, 1306 N. Berkeley Avenue, Peoria, IL USA.
John A VozenilekJump Simulation (an OSF Healthcare and University of Illinois College of Medicine at Peoria Collaboration), OSF HealthCare and University of Illinois College of Medicine, 1306 N. Berkeley Avenue, Peoria, IL USA.
Emilie S PowellDepartment of Emergency Medicine, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, USA.

Funding

AHRQ HHS R18 HS024027
6 · The paper itself

Abstract

backgroundNew technologies for clinical staff are typically introduced via an "in-service" that focuses on knowledge and technical skill. Successful adoption of new healthcare technologies is influenced by multiple other factors as described by the Consolidated Framework in Implementation Research (CFIR). A simulation-based introduction to new technologies provides opportunity to intentionally address specific factors that influence adoption.

methodsThe new technology proposed for adoption was a telehealth cart that provided direct video communication with electronic intensive care unit (eICU) staff for a rural Emergency Department (ED). A novel 3-Act-3-Debrief in situ simulation structure was created to target predictive constructs from the CFIR and connect debriefing to specific workflows. The structure and content of the simulation in relation to the framework is described. Participants completed surveys pre-simulation/post-simulation to measure change in their readiness to adopt the new technology.

resultsThe scenario was designed and pilot tested before implementation at two rural EDs. There were 60 interprofessional participants across the 2 sites, with 58 pre-simulation and 59 post-simulation surveys completed. The post-simulation mean ratings for each readiness measure (feasibility, quality, resource availability, role clarity, staff receptiveness, and tech usability) increased significantly as a result of the simulation experience.

conclusionsA novel 3-stage simulation-debriefing structure positively targets factors influencing the adoption of new healthcare technologies.

Indexed as

Healthcare simulation, Telehealth, Debriefing, Sepsis, Interprofessional simulations, Health information technology, Implementation research

Identifiers

PMID32999737
PMCPMC7519488

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Registered trials

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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.