A Bayesian Approach on Investigating Helicopter Emergency Medical Fatal Accidents

2021 ◽  
Vol 92 (7) ◽  
pp. 563-569
Author(s):  
Richard J. Simonson ◽  
Joseph R. Keebler ◽  
Alex Chaparro
Keyword(s):  
Bayesian Approach ◽  
Prior Information ◽  
Helicopter Emergency Medical Service ◽  
Current Data ◽  
Influential Factors ◽  
Fatal Accidents ◽  
Factors Associated ◽  
Emergency Medical ◽  
Accident Data ◽  
Using Data

INTRODUCTION: Helicopter Emergency Medical Service (HEMS) is a mode of transportation designed to expedite the transport of a patient. Compared to other modes of emergency transport and other areas of aviation, historically HEMS has had the highest accident-related fatality rates. Analysis of these accident data has revealed factors associated with an increased likelihood of accident-based fatalities. Here we report the results of an analysis on the likelihood of a fatality based on various factors as a result of a HEMS accident, employing a Bayesian framework.METHODS: A retrospective study was conducted using data extracted from the NTSB aviation accident database from April 31, 2005, to April 26, 2018. Evidence from Baker et al. (2006) was also used as prior information spanning from January 1, 1983, to April 30, 2005.RESULTS: A Bayesian logistic regression was implemented using the prior information and current data to calculate a posterior distribution confidence interval of possible values in predicting accident fatality. The results of the model indicate that flying at night (OR 3.06; 95 C.I 2.14, 4.48; PoD 100), flying under Instrument Flight Rules (OR 7.54; 95 C.I 3.94, 14.44; PoD 100), and post-crash fires (OR 18.73; 95 C.I 10.07, 34.12; PoD 100) significantly contributed to the higher likelihood of a fatality.CONCLUSION: Our results provide a comprehensive analysis of the most influential factors associated with an increased likelihood of a fatal accident occurring. We found that over the past 35 yr these factors were consistently associated with a higher likelihood of a fatality occurring.Simonson RJ, Keebler JR, Chaparro A. A Bayesian approach on investigating helicopter emergency medical fatal accidents. Aerosp Med Hum Perform. 2021; 92(7):563569.

Factors Associated with Failure of Non-invasive Positive Pressure Ventilation in a Critical Care Helicopter Emergency Medical Service

2015 ◽  
Vol 30 (3) ◽  
pp. 239-243 ◽  
Author(s):  
James S. Lee ◽  
Domhnall O’Dochartaigh ◽  
Mark MacKenzie ◽  
Darren Hudson ◽  
Stephanie Couperthwaite ◽  
...  
Keyword(s):  
Critical Care ◽  
Emergency Medical Service ◽  
Medical Service ◽  
Positive Pressure Ventilation ◽  
Helicopter Emergency Medical Service ◽  
Positive Pressure ◽  
Factors Associated ◽  
Non Invasive ◽  
Emergency Medical ◽  
The Impact

AbstractIntroductionNon-invasive positive pressure ventilation (NIPPV) is used to treat severe acute respiratory distress. Prehospital NIPPV has been associated with a reduction in both in-hospital mortality and the need for invasive ventilation.Hypothesis/ProblemThe authors of this study examined factors associated with NIPPV failure and evaluated the impact of NIPPV on scene times in a critical care helicopter Emergency Medical Service (HEMS). Non-invasive positive pressure ventilation failure was defined as the need for airway intervention or alternative means of ventilatory support.MethodsA retrospective chart review of consecutive patients where NIPPV was completed in a critical care HEMS was conducted. Factors associated with NIPPV failure in univariate analyses and from published literature were included in a multivariable, logistic regression model.ResultsFrom a total of 44 patients, NIPPV failed in 14 (32%); a Glasgow Coma Scale (GCS) <15 at HEMS arrival was associated independently with NIPPV failure (adjusted odds ratio 13.9; 95% CI, 2.4-80.3; P=.003). Mean scene times were significantly longer in patients who failed NIPPV when compared with patients in whom NIPPV was successful (95 minutes vs 51 minutes; 39.4 minutes longer; 95% CI, 16.2-62.5; P=.001).ConclusionPatients with a decreased level of consciousness were more likely to fail NIPPV. Furthermore, patients who failed NIPPV had significantly longer scene times. The benefits of NIPPV should be balanced against risks of long scene times by HEMS providers. Knowing risk factors of NIPPV failure could assist HEMS providers to make the safest decision for patients on whether to initiate NIPPV or proceed directly to endotracheal intubation prior to transport.LeeJS, O’DochartaighD, MacKenzieM, HudsonD, CouperthwaiteS, Villa-RoelC, RoweBH. Factors associated with failure of non-invasive positive pressure ventilation in a critical care helicopter Emergency Medical Service. Prehosp Disaster Med2015; 30(2): 1–5

scholarly journals Bayesian mapping of the striatal microcircuit reveals robust asymmetries in the probabilities and distances of connections

2021 ◽  
Author(s):  
Francois Cinotti ◽  
Mark D Humphries
Keyword(s):  
Bayesian Approach ◽  
D2 Receptor ◽  
Cognitive Disorders ◽  
Projection Neuron ◽  
Current Data ◽  
Projection Neurons ◽  
Range Of Movement ◽  
Precise Knowledge ◽  
Wide Range ◽  
Using Data

The striatum's complex microcircuit is made by connections within and between its D1- and D2-receptor expressing projection neurons and at least five species of interneuron. Precise knowledge of this circuit is likely essential to understanding striatum's functional roles and its dysfunction in a wide range of movement and cognitive disorders. We introduce here a Bayesian approach to mapping neuron connectivity using intracellular recording data, which lets us simultaneously evaluate the probability of connection between neuron types, the strength of evidence for it, and its dependence on distance. Using it to synthesise a complete map of the rodent striatum, we find strong evidence for two asymmetries: a selective asymmetry of projection neuron connections, with D2 neurons connecting twice as densely to other projection neurons than do D1 neurons, but neither subtype preferentially connecting to another; and a length-scale asymmetry, with interneuron connection probabilities remaining non-negligible at more than twice the distance of projection neuron connections. We further show our Bayesian approach can evaluate evidence for wiring changes, using data from the developing striatum and a mouse model of Huntington's disease. By quantifying the uncertainty in our knowledge of the microcircuit, our approach reveals a wide range of potential striatal wiring diagrams consistent with current data.

scholarly journals Research on Road Traffic Fatal Accidents using Data Mining Techniques

2019 ◽  
Vol 8 (9S2) ◽  
pp. 757-760
Keyword(s):  
Data Mining ◽  
Road Safety ◽  
Prior Information ◽  
Road Traffic ◽  
Clustering Algorithms ◽  
Predictive Analysis ◽  
Apriori Algorithm ◽  
Fatal Accidents ◽  
The Road ◽  
Using Data

Road safety plays a major role in our day-to-day life and also transportation system, due to its priority, it has become the major concern for everyone. In order to increase the road safety, traffic rules are included in education, clear and careful predictive analysis and study is done on factors effecting fatal accidents. We apply predictive analysis, statistical analysis and some algorithms related to data mining which includes FARS such as Apriori algorithm, associative rule techniques are used. These methods help in encountering the road fatal accidents that cause due to mentioned factors. These factors may include climatic and surface conditions and also drunken drivers or may be condition of vehicles also. Clusters are formed using simple k-means clustering algorithms. Finally road safety driving rules are made based on the factors effecting, clusters formed and predictive analysis and prior information.

scholarly journals Knowledge, attitudes, practices, and influencing factors of anxiety among pregnant women in Wuhan during the outbreak of COVID-19: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wenping Ding ◽  
Jianmei Lu ◽  
Yan Zhou ◽  
Weizhong Wei ◽  
Zhihong Zhou ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Pregnant Women ◽  
Influencing Factors ◽  
Information Source ◽  
Influential Factors ◽  
Public Health Issue ◽  
Cross Sectional ◽  
Factors Associated ◽  
Attitudes And Practices ◽  
Prenatal Anxiety

Abstract Background Prenatal anxiety has been a significant public health issue globally, leading to adverse health outcomes for mothers and children. The study aimed to evaluate the sociodemographic characteristics, knowledge, attitudes, and practices (KAP), and anxiety level of pregnant women during the coronavirus disease 2019 (COVID-19) epidemic in Wuhan and investigate the influencing factors for prenatal anxiety in this specific context. Methods Pregnant subjects’ KAP towards COVID-19 and their sociodemographics and pregnancy information were collected using questionnaires. The Zung Self-Rating Anxiety Scale (SAS) was used to assess anxiety status. Factors associated with the level of prenatal anxiety were analyzed by Pearson’s chi-square test and multivariable logistic regression analyses. Results The prenatal anxiety prevalence in this population was 20.8%. The mean score of knowledge was 13.2 ± 1.1 on a 0 ~ 14 scale. The attitudes and practices data showed that 580/ 817 (71.0%) were very concerned about the news of COVID-19, 455/817 (55.7%) considered the official media to be the most reliable information source for COVID-19, and 681/817 (83.4%) were anxious about the possibility of being infected by COVID-19. However, only 83/817 (10.2%) worried about contracting COVID-19 infection through the ultrasound transducer during a routing morphology scan. About two-thirds 528/817 (64.6%) delayed or canceled the antenatal visits. Approximately half of them 410/817 (50.2%) used two kinds of personal protection equipments (PPEs) during hospital visits. Logistic regression analysis revealed that the influential factors for prenatal anxiety included previous children in the family, knowledge score, media trust, worry of contracting the COVID-19 infection and worry about getting infected with COVID-19 from the ultrasound probe antenatal care (ANC) schedule. Conclusion Prenatal anxiety was prevalent among pregnant women in Wuhan during the outbreak of COVID-19. The current findings identified factors associated with the level of prenatal anxiety that could be targeted for psychological care.

Factors associated with Emergency Medical Service reattendance in low acuity patients not transported by ambulance

2020 ◽  
pp. 1-15
Author(s):  
Verity F. Todd ◽  
Andy Swain ◽  
Graham Howie ◽  
Bronwyn Tunnage ◽  
Tony Smith ◽  
...  
Keyword(s):  
Emergency Medical Service ◽  
Medical Service ◽  
Factors Associated ◽  
Emergency Medical

scholarly journals Assessing Factors Associated with TB Awareness in Nepal: A National and Subnational Study

2021 ◽  
Vol 18 (10) ◽  
pp. 5124
Author(s):  
Yoko Iwaki ◽  
Santosh Kumar Rauniyar ◽  
Shuhei Nomura ◽  
Michael C. Huang
Keyword(s):  
Socioeconomic Factors ◽  
Influential Factors ◽  
Regional Level ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Middle Income ◽  
Factors Associated ◽  
Middle Income Countries ◽  
Information And Communication ◽  
High Level

Tuberculosis (TB) has still remained a serious global health threat in low- and middle-income countries in recent years. As of 2021, Nepal is one of the high TB burden countries, with an increasing prevalence of cases. This study evaluates factors associated with TB awareness in Nepal. This study uses data from the Nepal Demographic and Health Survey, a cross-sectional survey carried out from June 2016 to January 2017. Multilevel logistic regression is performed to examine the association of demographic and socioeconomic factors with TB awareness. Our findings show a high level of TB awareness in all seven provinces of Nepal. Province 5 has the highest level of awareness (98.1%) among all provinces, followed by provinces 3 and 4, while province 6 has the lowest awareness level (93.2%) compared to others. Socioeconomic factors such as wealth, education and owning a mobile phone are significantly associated with TB awareness. Socioeconomic determinants are influential factors associated with TB awareness in Nepal. The wide variation in the proportion of awareness at a regional level emphasizes the importance of formulating tailored strategies to increase TB awareness. For instance, the use of mobile phones could be an effective strategy to promote TB awareness at a regional level. This study provides valuable evidence to support further research on the contribution of information and communication technology (ICT) usage to improving TB awareness in Nepal.

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