ArticleCureus2024
Saving Time Saves Lives: Optimizing Radio Dispatching in Out-of-Hospital Cardiac Arrests.
Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Transition of EMS workflow from radio to bell signals to shorten activation time in multiple casualty incident.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective Activation of emergency medical services (EMS) through radio dispatching in the United States of America is the established first component in the link of the Chain of Survival. However, little is known about how auditory dispatch alerts operationally aid in the recognition and physical response of priority dispatch communications. This research aims to determine if a modification in radio alerting procedures will elicit a reduction in chute times for first responders. Methods This study uses a retrospective pre-post design evaluating the impact on reaction times to cardiac arrest priority p-tones in a semi-urban/rural area. Data were collected by comparing a period of six months before and 10 months after the implementation of a system that replaced p-tones with digitized human speech notifications. The analysis of continuous data to determine statistical significance in response times (global positioning system (GPS)-measured) was conducted using the Student's t-test. For data normalization, Box-Cox transformations were utilized. The interpretation of control charts was used to assess process stability and evaluate the outcomes. Results Of the 16 months of continuous data and 137 case response times for priority alarms, the average response time (GPS-measured) was 29.3 seconds (M = 29.375, SD = 19.69), well below the system target time of 60 seconds. Results of the paired sample t-test show that the mean time did not differ before treatment (M = 27.86, SD = 27.213) and after treatment (M = 30.88, SD = 27.872) at the 0.05 level of significance, t(65) =.802, n = 65, p<.425. 95% CI for the mean difference: -5.384 - 12.617, r =.032. Process control charts indicated a slight reduction in the process efficiency. A secondary finding indicated that radio utilization time was reduced by five seconds due to the intervention. Conclusion Response times for EMS, including the characteristics of the priority p-tone and speech influence, are understudied. This case study introduced a methodology for designing chute time process improvement interventions. Process stability charts bring increased opportunities to measure and manage response times in EMS.
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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.