Survival Following Penetrating Trauma and Response Time Delays

As digital voice data is increasingly replacing analog in system applications, user interface requirements supporting this technology must be established. This experiment was conducted to determine whether system response time affected a user's ability to control movement of recorded speech while keying in a verbatim report of the speech content. Experienced subjects performed a transcription task under four different response times. Upon completion of the task, the subject ordered the response times from shortest to longest and rank-ordered their preferences for response delay times. Performance data was collected to discover if response time differences affected performance. Subjects were unable to identify the response time delays correctly; and, based on the preference rankings, the subjects were most satisfied with a response time delay range between 100 ms and 150 ms and least satisfied with a response time delay of 250 ms. Subjects stated that with the longest and shortest response time delays they had trouble positioning in the audio. Response time delays did not affect subject performance, although other significant results were found.

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SU-FF-J-07: Analysis of Response Time Delays in An Adaptive Feedback System: Considerations for a Real-Time Intra-Fraction Motion Tracking Couch

Medical Physics ◽

10.1118/1.1997553 ◽

2005 ◽

Vol 32 (6Part4) ◽

pp. 1920-1921

Author(s):

W D'Souza ◽

S Naqvi ◽

C Yu ◽

M Suntha ◽

W Regine

Keyword(s):

Response Time ◽

Real Time ◽

Time Delays ◽

Motion Tracking ◽

Feedback System ◽

Adaptive Feedback

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Every minute counts: The impact of pre-hospital response time and scene time on mortality of penetrating trauma patients

The American Journal of Surgery ◽

10.1016/j.amjsurg.2019.11.018 ◽

2020 ◽

Vol 220 (1) ◽

pp. 240-244 ◽

Cited By ~ 2

Author(s):

Ahmed A.H. Nasser ◽

Charlie Nederpelt ◽

Majed El Hechi ◽

April Mendoza ◽

Noelle Saillant ◽

...

Keyword(s):

Response Time ◽

Penetrating Trauma ◽

Trauma Patients ◽

The Impact ◽

Hospital Response

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Analysis of pre-hospital rescue times on mortality in trauma patients in a Scandinavian urban setting

Trauma ◽

10.1177/1460408616649217 ◽

2016 ◽

Vol 19 (1) ◽

pp. 28-34 ◽

Cited By ~ 3

Author(s):

A Bagher ◽

L Todorova ◽

L Andersson ◽

CJ Wingren ◽

A Ottosson ◽

...

Keyword(s):

Response Time ◽

Injury Severity ◽

Penetrating Trauma ◽

Multivariate Regression Analysis ◽

Urban Setting ◽

Blunt Injury ◽

Trauma Patients ◽

New Injury Severity Score ◽

Transport Distance ◽

Centre Hospital

Objective To analyze if pre-hospital rescue times were associated with mortality in a trauma cohort arriving by ambulance to hospital in a Scandinavian urban setting. Methods Between 2011 and 2013, individuals and pre-hospital rescue times were identified in Emergency Medical Dispatcher Centre, hospital, and forensic records in red alarm trauma. Major trauma was defined as a New Injury Severity Score (NISS)>15. Results Overall, 89% of 378 trauma patients received hospital care within 60 min; 51% had a response time of ≤8 min, and 95% had response time within ≤20 min. The on-scene time (p < 0.05) and total pre-hospital time (p < 0.05) were longer for patients ≥65 years, in comparison with patients <65 years. The patients with penetrating trauma had shorter on-scene time (p < 0.01), total pre-hospital time (p < 0.01), and shorter transport distance from trauma scene to hospital (p = 0.004), compared to those with blunt trauma. Patients with NISS > 15 were found to have the same pre-hospital rescue times as those with NISS ≤ 15. There was a trend that the occurrence of gunshots was associated with increased mortality (p = 0.074). When entering age, NISS, penetrating versus blunt injury, response time, and on-scene time in a multivariate regression analysis, age (p < 0.001), NISS (p < 0.001), and penetrating injury (p = 0.009) remained as independent factors associated with mortality and a trend for shorter on-scene time (p = 0.093). Conclusions Pre-hospital rescue times had less impact on mortality than injury severity, age, and penetrating trauma. Even though penetrating traumas were associated with shorter on-scene time and shorter transport distance to hospital, mortality was increased in this Scandinavian urban setting.

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On the Effectiveness of Digital Contact Tracing and Contact Prevention Under Varying COVID-19 Infection Detection Rates

10.21203/rs.3.rs-179393/v1 ◽

2021 ◽

Author(s):

German José Soldano ◽

Juan Andrés Fraire ◽

Jorge Manuel Finochietto ◽

Rodrigo Quiroga

Keyword(s):

Response Time ◽

Time Delays ◽

Data Privacy ◽

Developed Countries ◽

Contact Tracing ◽

Detection Rates ◽

Agent Based ◽

Infection Detection ◽

Available Technology ◽

Novel Strategy

Abstract A plethora of measures are being combined in the attempt to reduce SARS-CoV-2 spread. Due to its sustainability over time, contact tracing is one of the most frequently applied interventions worldwide, albeit with mixed results. In this work, we evaluate the perfomance of contact tracing for different infection detection rates and response time delays. We also introduce and analyze a novel strategy we call contact prevention. We model the effect of both strategies on contagion dynamics in SERIA, an agent-based simulation platform that implements realistic population-dependent statistical distributions. Results show that diagnostic/response time delays and low infection detection rates greatly impair the effect of contact tracing strategies, while contact prevention remains effective in these scenarios. Therefore, contact prevention could play a significant role in pandemic mitigation, specially in under-developed countries where diagnostic and tracing capabilities are insufficient. Contact prevention could thus sustainably reduce the propagation of respiratory viruses while relying on available technology, respecting data privacy, and most importantly, promoting community-based awareness and social responsibility. Depending on infection detection and app adoption rates, applying a combination of contact tracing and contact prevention could reduce pandemic-related mortality by 20%-56%.

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Abstract 306: Out-of-hospital Cardiac Arrest Response Characteristics Moderate the Effect of Response Time on Survival

Circulation ◽

10.1161/circ.142.suppl_4.306 ◽

2020 ◽

Vol 142 (Suppl_4) ◽

Author(s):

Justin J Boutilier ◽

Clara Stoesser ◽

Christopher L.F. Sun ◽

Steven Brooks ◽

Sheldon Cheskes ◽

...

Keyword(s):

Logistic Regression ◽

Cardiac Arrest ◽

Response Time ◽

Time Delays ◽

Logistic Regression Model ◽

Effect Modification ◽

Response Characteristics ◽

Interaction Terms ◽

Bystander Cpr ◽

Hospital Cardiac Arrest

Background: Research has shown that each minute delay in response time reduces survival from OHCA. Although Utstein variables like public location, witnessed, bystander CPR, and bystander AED shock are known to independently improve survival, how they moderate the effect of response time delays on survival is unknown. Methods: We included OHCAs from the Resuscitation Outcomes Consortium Epistry-Cardiac Arrest database from December 1, 2005 to June 30, 2015. We included all adult, non-traumatic, non-EMS witnessed, and EMS-treated OHCA episodes. We used a logistic regression model to estimate survival to hospital discharge as a function of response time. We adjusted for standard Utstein variables and included interaction terms between response time and public location, bystander witnessed, bystander CPR, and bystander AED shock. With four binary interacted variables, there were a total of sixteen subpopulations, each with a different effect of response time on survival. Results: 83,275 patients were included (15% public, 45% witnessed, 47% CPR, 2% AED shock). Across the 10 subpopulations that comprise 99%+ of the data, a one-minute delay in response time reduced the odds of survival from 1.7% to 10.9%, depending on the arrest characteristics. All interaction tests for effect modification were significant. The reduction in odds of survival was largest for witnessed arrests (OR=0.961; 95% CI: 0.944-0.978), followed by arrests with bystander CPR (OR=0.965; 95% CI: 0.948-0.982) and in public locations (OR=0.978; 95% CI: 0.960-0.996). In contrast, a one-minute delay for arrests with bystander AED shock (OR=1.086; 95% CI: 1.058-1.114) increased the odds of survival. Conclusions: Utstein predictors significantly moderate the effect of response time on survival. Arrests that are witnessed, public location, and/or receive bystander CPR are negatively affected by slower response time. Arrests with a bystander AED shock are not sensitive to response time delays.

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