Trial reportChest2022
Telemedical Intensivist Consultation During In-Hospital Cardiac Arrest Resuscitation: A Simulation-Based, Randomized Controlled Trial.
Trial report in Chest, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03000829 (Code Blue Outcomes & Process Improvement Through Leadership Optimization Using Teleintensivists-Simulation), which is not on this map. Cited by 5 papers.
What it found
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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.
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.
Code Blue Outcomes & Process Improvement Through Leadership Optimization Using Teleintensivists-Simulation
Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Teleneonatal or routine resuscitation in extremely preterm infants: a randomized simulation trial.Pediatric research · 2025Trial
- Telemedicine for the detection and management of in-hospital and out-of-hospital sudden cardiac arrest: Status quo and quo vadis.American heart journal plus : cardiology research and practice · 2025Review
- Telemedicine in cardiac arrest protocols: Comparative impact of video and audio dispatcher assistance.World journal of critical care medicine · 2025Article
- Relationship Between Resuscitation Team Members' Self-Efficacy and Team Competence During In-Hospital Cardiac Arrest.Critical care explorations · 2024Article
- Outcomes of in-hospital cardiac arrest among hospitals with and without telemedicine critical care.Resuscitation · 2022Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundHigh-quality leadership improves resuscitation for in-hospital cardiac arrest (IHCA), but experienced resuscitation leaders are unavailable in many settings. RESEARCH QUESTION: Does real-time telemedical intensivist consultation improve resuscitation quality for IHCA? STUDY DESIGN AND
methodsIn this multicenter randomized controlled trial, standardized high-fidelity simulations of IHCA conducted between February 2017 and September 2018 on inpatient medicine and surgery units at seven hospitals were assigned randomly to consultation (intervention) or simulated observation (control) by a critical care physician via telemedicine. The primary outcome was the fraction of time without chest compressions (ie, no-flow fraction) during an approximately 4- to 6-min analysis window beginning with telemedicine activation. Secondary outcomes included other measures of chest compression quality, defibrillation and medication timing, resuscitation protocol adherence, nontechnical team performance, and participants' experience during resuscitation participation.
resultsNo-flow fraction did not differ between the 36 intervention group (0.22 ± 0.13) and the 35 control group (0.19 ± 0.10) resuscitation simulations included in the intention-to-treat analysis (P = .41). The etiology of the simulated cardiac arrest was identified more often during evaluable resuscitations supported by a telemedical intensivist consultant (22/32 [69%]) compared with control resuscitations (10/34 [29%]; P = .001), but other measures of resuscitation quality, resuscitation team performance, and participant experience did not differ between intervention groups. Problems with audio quality or the telemedicine connection affected 14 intervention group resuscitations (39%).
interpretationConsultation by a telemedical intensivist physician did not improve resuscitation quality during simulated ward-based IHCA. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT03000829; URL: www. CLINICALTRIALS: gov.
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Registered trials
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.