Use of the Vocera Communications Badge Improves Public Safety Response Times

Objectives. Violence in the Emergency Department (ED) has been a long-standing issue complicated by deficiencies in staff training, ease of weapons access, and response availability of public safety officers. The Vocera Badge is being used by our staff to request public safety assistance in lieu of a formal phone call to the University Police Communications Center. We sought to learn if use of this technology improved officer response times to the ED.Methods. Mean response times were reviewed and descriptive statistics analyzed to determine if the use of the Vocera Badge improved public safety officer response times to the ED.Results. Average response times improved from an average of 3.2 minutes (SD = 0.456) in the 6 months before the use of the communication badges to an average of 1.02 minutes (SD = 0.319) in the 6 months after use began.Conclusions. The use of the Vocera Badge seemed to decrease response times of public safety officers to our ED compared with the traditional method of calling a dispatch center to request assistance.

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THE RECOGNITION AND MANAGEMENT OF PAEDIATRIC SEPSIS IN THE UNIVERSITY HOSPITAL OF WALES (UHW) EMERGENCY DEPARTMENT (ED)

10.26226/morressier.57d034d0d462b80292383477 ◽

2016 ◽

Author(s):

Stephen Mullen

Keyword(s):

Emergency Department ◽

University Hospital ◽

The University

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Finding the path of least resistance: Locally adapting the MITIGATE toolkit in emergency departments and urgent care centers

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2020.1394 ◽

2021 ◽

pp. 1-3

Author(s):

Joanne Huang ◽

Zahra Kassamali Escobar ◽

Todd S. Bouchard ◽

Jose Mari G. Lansang ◽

Rupali Jain ◽

...

Keyword(s):

Primary Care ◽

Emergency Department ◽

Antimicrobial Stewardship ◽

Emergency Departments ◽

Urgent Care ◽

Complex Data ◽

University Of Washington ◽

Primary Care Clinics ◽

Urgent Care Centers ◽

The University

Abstract The MITIGATE toolkit was developed to assist urgent care and emergency departments in the development of antimicrobial stewardship programs. At the University of Washington, we adopted the MITIGATE toolkit in 10 urgent care centers, 9 primary care clinics, and 1 emergency department. We encountered and overcame challenges: a complex data build, choosing feasible outcomes to measure, issues with accurate coding, and maintaining positive stewardship relationships. Herein, we discuss solutions to challenges we encountered to provide guidance for those considering using this toolkit.

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Developing ESD Competences in Higher Education Institutions—Staff Training at the University of Vechta

Sustainability ◽

10.3390/su122410336 ◽

2020 ◽

Vol 12 (24) ◽

pp. 10336

Author(s):

Lukas Scherak ◽

Marco Rieckmann

Keyword(s):

Higher Education ◽

Staff Training ◽

Research Question ◽

Trigger Points ◽

Training Programme ◽

Self Assessment ◽

University Teachers ◽

Limited Opportunity ◽

Assessment Survey ◽

The University

Education for Sustainable Development (ESD) competences have been widely discussed over the past decade. A number of frameworks have been developed, and the Erasmus+ Project “A Rounder Sense of Purpose” (RSP) set out to establish a profound and practical framework of competences to be used in any European context to enable in-service and pre-service educators to demonstrate their competence in ESD. Over the course of two years at the University of Vechta, staff training was provided using the RSP competences model as a guiding framework. Data were collected through a focus group and a self-assessment survey in order to answer the research question, “Which competences do university teachers need in order to work with the concept of ESD in higher education and how can these be developed in a series of staff training workshops?” The results show that all 12 RSP competences are indeed relevant for higher education teaching, but the potential for developing them into a staff training programme is limited. There are multiple trigger points and settings that are beneficial to and necessary for the development of ESD competences. If those conditions are not met there is limited opportunity for applying ESD methods within higher education.

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Mental Health Conditions Among Struggling GME Learners: Results From a Single Center Remediation Program

Journal of Graduate Medical Education ◽

10.4300/jgme-d-20-00007.1 ◽

2020 ◽

Vol 12 (6) ◽

pp. 773-777

Author(s):

Karen M. Warburton ◽

Amit A. Shahane

Keyword(s):

Mental Health ◽

Clinical Performance ◽

Adjustment Disorder ◽

Descriptive Statistics ◽

Health Conditions ◽

University Of Virginia ◽

Single Center ◽

Struggling Learners ◽

Mental Health Conditions ◽

The University

ABSTRACT Background Graduate medical education (GME) learners may struggle with clinical performance during training. A subset of these trainees has mental health conditions (MHCs). Objective To characterize the MHCs that underlie poor trainee performance and their relationship to specific clinical performance deficit (CPD). Methods At the University of Virginia (UVA), GME learners not meeting appropriate milestones, or who request help, have the option to self-refer or be referred to COACH (Committee on Achieving Competence Through Help). A physician remediation expert assesses the learner and identifies a primary CPD. If there is concern for an MHC, referral is made to a psychologist with expertise in working with trainees. All learners are offered remediation for the CPD. Using descriptive statistics, we tracked the prevalence of MHC and their correlation with specific CPDs. Results Between 2016 and 2019, COACH assessed 7% (61 of 820) of GME learners at UVA. Thirty-eight percent (23 of 61) had an MHC associated with the CPD. Anxiety was the most common MHC (48%), followed by depression (17%), cognitive dysfunction (17%), adjustment disorder (13%), and other (4%). Professionalism was the most identified CPD among learners with MHCs (52%). Of remediated learners, 47% have successfully finished remediation, 21% were terminated or voluntarily left their program, and 32% are still being remediated (83% of whom are in good standing). Conclusions MHCs were identified in nearly 40% of struggling learners referred to a centralized remediation program. Professionalism is the most identified CPD among learners with MHCs.

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A machine learning approach for identification of gastrointestinal predictors for the risk of COVID-19 related hospitalization

10.1101/2021.08.27.21262728 ◽

2021 ◽

Author(s):

Peter Liptak ◽

Peter Banovcin ◽

Robert Rosolanka ◽

Michal Prokopic ◽

Ivan Kocan ◽

...

Keyword(s):

Machine Learning ◽

Emergency Department ◽

Random Forest ◽

Gastrointestinal Symptoms ◽

Machine Learning Algorithms ◽

Important Predictor ◽

University Hospital ◽

Home Based ◽

Severity Of The Disease ◽

The University

Background and aim: COVID-19 can be presented with various gastrointestinal symptoms. Shortly after the pandemic outbreak several machine learning algorithms have been implemented to assess new diagnostic and therapeutic methods for this disease. Aim of this study is to assess gas-trointestinal and liver related predictive factors for SARS-CoV-2 associated risk of hospitalization. Methods: Data collection was based on questionnaire from the COVID-19 outpatient test center and from the emergency department at the University hospital in combination with data from inter-nal hospital information system and from the mobile application used for telemedicine follow-up of patients. For statistical analysis SARS-CoV-2 negative patients were considered as controls to three different SARS-CoV-2 positive patient groups (divided based on severity of the disease). Results: Total of 710 patients were enrolled in the study. Presence of diarrhea and nausea was significantly higher in emergency department group than in the COVID-19 outpatient test center. Among liver enzymes only aspartate transaminase (AST) has been significantly elevated in the hospitalized group compared to patients discharged home. Based on random forest algorithm, AST has been identified as the most important predictor followed by age or diabetes mellitus. Diarrhea and bloating have also predictive importance although much lower than AST. Conclusion: SARS-CoV-2 positivity is connected with isolated AST elevation and the level is linked with the severity of the disease. Furthermore, using machine learning random forest algo-rithm, we have identified elevated AST as the most important predictor for COVID-19 related hos-pitalizations.

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Separating the wheat from the chaff – COVID-19 in a German emergency department: A Case-control study

10.21203/rs.3.rs-37052/v2 ◽

2020 ◽

Author(s):

David Fistera ◽

Dirk Pabst ◽

Annalena Härtl ◽

Benedikt Michael Schaarschmidt ◽

Lale Umutlu ◽

...

Keyword(s):

Emergency Department ◽

Health Care Systems ◽

University Hospital ◽

Nasopharyngeal Swab ◽

Workflow Model ◽

Manchester Triage System ◽

Efficient Management ◽

Care Systems ◽

To Come ◽

The University

Abstract Background: COVID-19 pandemia is a major challenge to worldwide health care systems. Whereas the majority of disease presents with mild symptoms that can be treated as outpatients, severely ill COVID-19 patients and patients presenting with similar symptoms cross their ways in the Emergency Department. Especially the variety of symptoms is challenging with primary triage. Are there parameters to distinguish between proven COVID-19 and without before? How can a safe and efficient management of these inpatients be achieved?Methods: We conducted a retrospective analysis of 314 consecutive inpatient patients who presented with possible symptoms of COVID-19 in a German emergency department between March and April 2020 and were tested with a SARS-Cov-2 nasopharyngeal swab. Clinical parameters, Manchester Triage System categories and lab results were compared between patients with positive and negative test results for SARS-Cov-2. Furthermore, we present the existing COVID-19 workflow model of the university hospital in Essen which proved to be efficient during pandemia.Results: 43 of the 314 patients (13.7%) were tested positive for COVID-19 by SARS-Cov-2 nasopharyngeal swab. We did not find any laboratory parameter to distinguish safely between patients with COVID-19 and those with similar symptoms. Dysgeusia was the only clinical symptom that was significantly more frequent among COVID-19 patients. Conclusion: Dysgeusia seems to be a typical symptom for COVID-19, which occurred in 14% of our COVID-19 patients. However, no valid parameters could be found to distinguish clinically between COVID-19 and other diseases with similar symptoms. Therefore, early testing, a strict isolation policy and proper personal protection are crucial to maintain workflow and safety of patients and ED staff for the months to come.Trial registration: URL: https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00021675

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Students’ opinions about studying from home during the COVID-19 pandemic in Indonesia

Cypriot Journal of Educational Sciences ◽

10.18844/cjes.v16i2.5627 ◽

2021 ◽

Vol 16 (2) ◽

pp. 499-510

Author(s):

Hermanto Hermanto ◽

Ni Gusti Made Rai ◽

Arfan Fahmi

Keyword(s):

Online Learning ◽

Online Survey ◽

Descriptive Statistics ◽

Teaching Methodology ◽

Motivation To Learn ◽

Learning Attitude ◽

Traditional Mode ◽

Attitude Learning ◽

The University ◽

Attitude And Motivation

The implementation of online learning during the COVID-19 pandemic may affect students’ learning attitude and motivation to some extent. This paper aims to describe the university students’ opinions about learning attitude and motivation while studying from home due to the COVID-19 pandemic in Indonesia. A non-experimental research design was used with an exploratory quantitative method. A total of 238 respondents participated in the online survey from April 22 to 29, 2020. Descriptive statistics was used to analyse the collected data by using SPSS 23. The results showed that 52.5% (n = 125) of the respondent did not enjoy studying from home and 91.5% (n = 218) did not gain as much knowledge as in the traditional mode, although they still had a higher motivation to learn and had a better relationship with their family members. Interesting materials and enjoyable teaching methodology and interaction are therefore suggested. Keywords: Covid-19; studying from home; online learning attitude; learning motivation

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Use of Analgesia in an Emergency Department

Journal of Nepal Medical Association ◽

10.31729/jnma.554 ◽

2013 ◽

Vol 52 (189) ◽

pp. 224-228 ◽

Cited By ~ 2

Author(s):

Rabin Bhandari ◽

Gyanendra Malla ◽

Indrajit Prasad Mahato ◽

Pramendra Gupta

Keyword(s):

Emergency Department ◽

Median Time ◽

Descriptive Statistics ◽

Emergency Ward ◽

Record Keeping ◽

Case File ◽

Common Presentation ◽

Pain Descriptor ◽

Set Up

Introduction: Pain is a common presentation to the emergency department but often overlooked with little research done on the topic in Nepal. We did an observational retrospective study on 301 patients in the emergency ward of BP Koirala Institute of Health Sciences with the objective of finding the practice of analgesia. The specific focus was on the time to analgesia, drugs for analgesia and method of pain assessment. Methods: Case file analysis of patients discharged home after presenting with pain was performed. Time to analgesia and other factors were analyzed with descriptive statistics. Results: Diclofenac injection intramuscular (80%) was the commonest analgesic used. Assessment methods and record keeping were poor. Pain in the abdomen was the commonest. The median time to analgesia from triage was 45 minutes (IQR 30 to 80) and the median time to analgesia from doctor evaluation was 40 minutes (IQR 20 to 70). Conclusions: Time to analgesia from triage and doctors assessment in our set up is comparable to others. The quality of documentation is poor. Problems with pain identification and assessment may lead to inadequate analgesia so reinforcing the use of pain descriptor at triage itself with pain score would be helpful in adopting a protocol based management of pain. Keywords: analgesia; emergency; Nepal.

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Perception and Knowledge on Climate Change: A Case Study of University Students in Bangladesh

Journal of Atmospheric Science Research ◽

10.30564/jasr.v2i3.1542 ◽

2019 ◽

Vol 2 (3) ◽

Author(s):

Bezon Kumar ◽

Arif Ibne Asad ◽

Purnima Banik

Keyword(s):

Climate Change ◽

Sustainable Development ◽

Global Warming ◽

University Students ◽

Descriptive Statistics ◽

Primary Data ◽

The Sustainable Development ◽

The University ◽

Change Problem

This paper mainly investigates the perception and knowledge on climate change of the university students in Bangladesh. To carry out this study, primary data are collected from 370 students and uses several statistical methods. Perception and knowledge on the causes, effects and mitigation ways of climate change problems, and perceived duties to combat against climate change are analyzed with descriptive statistics. This paper finds that deforestation is the main cause of global warming and climate change and, the effects of climate change is very serious on people’s health. Majority portion of the students think that it is difficult to combat against climate change problem because it has already been too late to take action. Besides this study also finds that government is crucially responsible for combating against climate change problem. The study calls for government mainly besides industry and youths to aware people about the causes, effects, mitigation ways of climate change so that they can contribute to the sustainable development by mitigating climate change problem.

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