scholarly journals A validation study of early warning system in high-risk pregnant women

2020 ◽  
Vol 152 (5) ◽  
pp. 519
Author(s):  
Reena Rani ◽  
AsmitaMuthal Rathore ◽  
SunitaBai Meena ◽  
Deepti Goswami ◽  
Reva Tripathi
Keyword(s):  
High Risk ◽  
Pregnant Women ◽  
Validation Study ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System

scholarly journals Introduce a Tool to Assess the Understanding of the Early Warning System in High-Risk Organizations

2020 ◽  
Author(s):  
Hamidreza Mehri ◽  
Faeze Sepahi Zoeram ◽  
Fatemeh Majidpour ◽  
Zainab Anbari Nogyni ◽  
Reza Jafari Nodoushan
Keyword(s):  
High Risk ◽  
Early Warning ◽  
Content Validity ◽  
Early Warning System ◽  
Good Condition ◽  
Warning System ◽  
Early Warning Systems ◽  
Warning Systems ◽  
Validity And Reliability ◽  
Spearman Test

Background: Although early warning system processes follow precise models and scenarios, the human part is not fully understood. Most people before and during crises, act according to their interpretive plans, sometimes when the situation may not be dangerous, but can lead to dangerous reactions. The purpose of this study was to provide an indicator that can be used to assess people's understanding of early warning systems. Methods: This study is a descriptive-analytical study that was conducted in 2019 in a gas refinery in Iran. In the first step, the Perception Index questionnaire was translated into Persian with the help of English language experts. In the next step, the validity and reliability of the questionnaire were assessed. The questionnaires were distributed and completed among 168 refinery personnel. The collected data were analyzed using SPSS software version 24, and Pearson and Spearman correlation coefficients were determined by statistical tests. Results: The content validity index was 0.8, and the content validity ratio was 0.66. The general index of perception of the rapid warning system in this industry was 71.74 percent. Pearson correlation test did not show a significant correlation between age and perception index (r = 0.060), and also this test showed a positive correlation between perception index and work experience (r = 0.691). Spearman test was used to examine the relationship between two variables of education level and perception index. The results showed that there was a strong correlation between these two variables (rho = 0.746). Conclusion: The results showed that the perception index in this questionnaire has high validity and reliability and can be used in high-risk industries. The general perception index gained in this industry was in good condition, which means that people are more likely to be well aware at the time of an accident and will behave appropriately. However, it is suggested that the managers of the industry understudy hold training classes related to the early warning systems, hold emergency maneuvers, and familiarize the personnel with different scenarios.  

Routine Bedside Use of Obstetric Early Warning System in the Postnatal Ward to Identify Maternal Morbidity Among High-Risk Women

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Sanna Hoppu ◽  
Katja Hannola ◽  
Susanna Mennander ◽  
Heini Huhtala ◽  
Maria Rissanen ◽  
...  
Keyword(s):  
High Risk ◽  
Early Warning ◽  
Early Warning System ◽  
Maternal Morbidity ◽  
Warning System ◽  
Postnatal Ward ◽  
High Risk Women

scholarly journals Development and evaluation of a novel Vital Signs Alert device for use in pregnancy in low-resource settings

2018 ◽  
Vol 4 (4) ◽  
pp. 192-198 ◽  
Author(s):  
Hannah L Nathan ◽  
Nicola Vousden ◽  
Elodie Lawley ◽  
Annemarie de Greeff ◽  
Natasha L Hezelgrave ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Early Warning ◽  
Early Warning System ◽  
Healthcare Providers ◽  
Vital Signs ◽  
Warning System ◽  
Evidence Based ◽  
Traffic Light ◽  
Low Resource Settings ◽  
In Pregnancy

ObjectivesHaemorrhage, hypertension, sepsis and abortion complications (often from haemorrhage or sepsis) contribute to 60% of all maternal deaths. Each is associated with vital signs (blood pressure (BP) and pulse) abnormalities, and the majority of deaths are preventable through simple and timely intervention. This paper presents the development and evaluation of the CRADLE Vital Signs Alert (VSA), an accurate, low-cost and easy-to-use device measuring BP and pulse with an integrated traffic light early warning system. The VSA was designed to be used by all cadres of healthcare providers for pregnant women in low-resource settings with the aim to prevent avoidable maternal mortality and morbidity.MethodsThe development and the mixed-methods clinical evaluation of the VSA are described.ResultsPreliminary fieldwork identified that introduction of BP devices to rural clinics improved antenatal surveillance of BP in pregnant women. The aesthetics of the integrated traffic light system were developed through iterative qualitative evaluation. The traffic lights trigger according to evidence-based vital sign thresholds in hypertension and haemodynamic compromise from haemorrhage and sepsis. The VSA can be reliably used as an auscultatory device, as well as its primary semiautomated function, and is suitable as a self-monitor used by pregnant women.ConclusionThe VSA is an accurate device incorporating an evidence-based traffic light early warning system. It is designed to ensure suitability for healthcare providers with limited training and may improve care for women in pregnancy, childbirth and in the postnatal period.

scholarly journals The Risk of Tsunamis in Mexico

2020 ◽  
Author(s):  
Jaime Santos-Reyes
Keyword(s):  
High Risk ◽  
Early Warning ◽  
Early Warning System ◽  
Pacific Coast ◽  
Warning System ◽  
Low Risk ◽  
Tsunami Early Warning ◽  
The North ◽  
The Pacific ◽  
Preliminary Model

The paper reviews the risk of tsunamis in Mexico. It is highlighted that the Pacific coast of the country forms part of the so called “Ring of fire”. Overall, the risk of tsunami that has the potentiality to affect communities along the Pacific coast of the country are twofold: a). Local tsunami; i.e., those triggered by earthquakes originating from the “Cocos”, “Rivera” and the “North American” plates (high risk); and b) the remote tsunamis, those generated elsewhere (e.g, Alaska, Japan, Chile) (low risk). Further, a preliminary model for a “tsunami early warning” system for the case of Mexico is put forward.

The Merapi-Project — Interdisciplinary Monitoring of a High-Risk Volcano as a Basis for an Early Warning System

2003 ◽  
pp. 527-532 ◽  
Author(s):  
Jochen Zschau ◽  
R. Sukhyar ◽  
M. A. Purbawinata ◽  
Birger-Gottfried Lühr ◽  
M. Westerhaus
Keyword(s):  
High Risk ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System

scholarly journals Analysis of Ultrasound Clinical Early Warning System in Hyper-Coiling Umbilical Cord

2021 ◽  
Author(s):  
Junshu XIE ◽  
Yani YAN ◽  
Zhenjuan YANG ◽  
Yuntao LI ◽  
Xiaowei XUE ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Early Warning ◽  
Group Intervention ◽  
Early Warning System ◽  
Intervention Group ◽  
Warning System ◽  
Clinical Intervention ◽  
High Risk Factors ◽  
Umbilical Arteries

Abstract Background： Umbilical coiling index（UCI）can not be used to predict pregnancy outcomes. Whether there are other abnormal ultrasound indicators in the hyper-coiling cord (HC) that can give early warning of adverse pregnancy still needs to be further explored.Objective: To establish an ultrasonic early warning system for clinical intervention in patients with the hyper-coiling umbilical cord.Study Design: Retrospectively analyzed 29 patients’ characteristics with hyper-coiling cord (HC) diagnosed by ultrasound in our hospital from January 2019 to March 2021. According to whether the following high-risk factors were combined ①High resistance of umbilical arteries beside the bladder, ②fetal growth restriction (FGR), ③increased diastolic peak blood flow of middle cerebral artery, ④oligohydramnios, ⑤enhanced echo of the cerebral parenchyma, ⑥reversed A wave of the venous catheter ( VC). It could be divided into two types: simple type and complex type, and then divided into three groups according to the delivery situation of patients, as terminated pregnancy group, intervention group, and non-intervention group. At last, according to the distribution of high-risk factors in each group, established an ultrasonic early warning system which affected the clinical intervention and pregnancy outcome of complex HC patients.Results: compared with 9 cases in the simple HC group and 20 cases in the complex HC group, the intervention ratio of complex HC patients was higher (p=0.027), the average delivery gestational weeks was smaller (p=0.034), the abnormal rate of fetal heart monitoring was higher (p=0.027), and there were statistical differences in above. Compared in the three groups (terminated pregnancy group, intervention group, and the non-intervention group), there were statistical differences in the number of high-risk factors (P=0.000) and the distribution proportion of six high-risk factors (P = 0.012, 0.011, 0.000, 0.026, 0.028, 0.000).Conclusion: the monitoring of six high-risk factors by ultrasound could establish an ultrasound early warning system for HC to influence the clinical intervention and pregnancy outcome. In this early warning system, the monitoring of fetal intrauterine safety was often needed for complex HC patients. High resistance of umbilical arteries beside the bladder and FGR were the earliest warning signs. Once timely clinical intervention was carried out, the prognosis of pregnancy could be improved.

scholarly journals A Real-Time Early Warning System for Monitoring Inpatient Mortality Risk: Prospective Study Using Electronic Medical Record Data (Preprint)

2019 ◽  
Author(s):  
Chengyin Ye ◽  
Oliver Wang ◽  
Modi Liu ◽  
Le Zheng ◽  
Minjie Xia ◽  
...  
Keyword(s):  
High Risk ◽  
Real Time ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Hospital Death ◽  
Inpatient Mortality ◽  
Individualized Care

BACKGROUND The rapid deterioration observed in the condition of some hospitalized patients can be attributed to either disease progression or imperfect triage and level of care assignment after their admission. An early warning system (EWS) to identify patients at high risk of subsequent intrahospital death can be an effective tool for ensuring patient safety and quality of care and reducing avoidable harm and costs. OBJECTIVE The aim of this study was to prospectively validate a real-time EWS designed to predict patients at high risk of inpatient mortality during their hospital episodes. METHODS Data were collected from the system-wide electronic medical record (EMR) of two acute Berkshire Health System hospitals, comprising 54,246 inpatient admissions from January 1, 2015, to September 30, 2017, of which 2.30% (1248/54,246) resulted in intrahospital deaths. Multiple machine learning methods (linear and nonlinear) were explored and compared. The tree-based random forest method was selected to develop the predictive application for the intrahospital mortality assessment. After constructing the model, we prospectively validated the algorithms as a real-time inpatient EWS for mortality. RESULTS The EWS algorithm scored patients’ daily and long-term risk of inpatient mortality probability after admission and stratified them into distinct risk groups. In the prospective validation, the EWS prospectively attained a c-statistic of 0.884, where 99 encounters were captured in the highest risk group, 69% (68/99) of whom died during the episodes. It accurately predicted the possibility of death for the top 13.3% (34/255) of the patients at least 40.8 hours before death. Important clinical utilization features, together with coded diagnoses, vital signs, and laboratory test results were recognized as impactful predictors in the final EWS. CONCLUSIONS In this study, we prospectively demonstrated the capability of the newly-designed EWS to monitor and alert clinicians about patients at high risk of in-hospital death in real time, thereby providing opportunities for timely interventions. This real-time EWS is able to assist clinical decision making and enable more actionable and effective individualized care for patients’ better health outcomes in target medical facilities.

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