Psychological impact of covid19 on out-of-hospital emergency services

This article focuses on how the COVID-19 pandemic affects Emergency Medical Assistant’s (EMA) mental health. In addition, it aims to define which psychological consequences it entails and if they have received postgraduate training on how to face the pandemic by the Health System or organizations that depend on it. This is a qualitative exploratory study of a phenomenological type where a semi- structured ad-hoc interview has been used for data collection, answered by EMA. The results show the psychological impact that COVID-19 has had on the work and personal life of these workers, the lack of psychological resources and the multiple psychological consequences developed as a result of the neglect of their mental health. EMA reaffirm the psychological challenge the COVID-19 pandemic means, creating situation of greater stress and anxiety than implied internal impediments for the job, family and friends. Therefore, they express the necessity for psychological support, being able to develop a diversity of psychological help resources that allow EMA to release the pychological oppression caused by the added stressors of the COVID-19 pandemic.

Algorithmic Fairness and Bias Mitigation for Clinical Machine Learning: Insights from Rapid COVID-19 Diagnosis by Adversarial Learning

Machine learning is becoming increasingly promi- nent in healthcare. Although its benefits are clear, growing attention is being given to how machine learning may exacerbate existing biases and disparities. In this study, we introduce an adversarial training framework that is capable of mitigating biases that may have been acquired through data collection or magnified during model development. For example, if one class is over-presented or errors/inconsistencies in practice are reflected in the training data, then a model can be biased by these. To evaluate our adversarial training framework, we used the statistical definition of equalized odds. We evaluated our model for the task of rapidly predicting COVID-19 for patients presenting to hospital emergency departments, and aimed to mitigate regional (hospital) and ethnic biases present. We trained our framework on a large, real-world COVID-19 dataset and demonstrated that adversarial training demonstrably improves outcome fairness (with respect to equalized odds), while still achieving clinically-effective screening performances (NPV>0.98). We compared our method to the benchmark set by related previous work, and performed prospective and external validation on four independent hospital cohorts. Our method can be generalized to any outcomes, models, and definitions of fairness.

Characteristics of Chest X-Ray in Patients with Cancer at the Dharmais Cancer Hospital Emergency Room during the COVID-19 Pandemic

Background: Conventional chest X-ray (chest X-ray) in Dharmais Cancer Hospital emergency room (ER) is still the primary modality to diagnose patients with cancer with dyspnoea complaints. Chest X-ray was also carried out to screen inpatients at the Dharmais Cancer Hospital ER at the beginning of the COVID-19 pandemic in Indonesia. It was essential because patients in the Dharmais Cancer Hospital ER were patients with cancer, with low immunity and a high risk of being exposed to various infections. Thus, the purpose of this study was to determine the characteristics of chest X-rays in patients with cancer at the Dharmais Cancer Hospital ER during the COVID-19 pandemic in February-May 2020. Methods: This was a descriptive study. The population involved was all patients at the Dharmais Cancer Hospital ER who received chest X-ray support, with the inclusion criteria for diagnosing lung cancer, breast cancer, cervical cancer, colorectal cancer, and blood cancer (Leukemia) from February to May 2020. Data analysis employed univariate analysis by utilizing tables and graphs in presenting the data.Results: 289 samples met the research criteria. The highest visits were patients with breast cancer (41.2%). The most common thoracic images were pleural effusion (34.3%), followed by bronchopneumonia (31.1%), normal lung (16.6%), lung mass (7.6%), pneumonia (5.2%), and others (5.2%), consisting of atelectasis, bronchitis, fibrosis/chronic pulmonary process, pulmonary emphysema, cardiomegaly, and specific process. Besides, the chest x-ray bronchopneumonia was 31.1% (90 samples), accompanied by pleural effusion of 44.4%. From the chest X-ray, pleural effusions were 34.3% (99 samples), with lung cancer being the most common with pleural effusions (48.4%).Conclusions: More than 80% of chest x-ray performed in the ER are abnormal. Also, breast cancer is the highest in the Dharmais Cancer Hospital ER cases, with the highest chest x-ray of pleural effusion.

Analysis of Medical Management in Geriatric Patients in the Hospital Emergency Department by Example of Selected Cities with County Status in Poland: A Retrospective Cohort Study

The aim of this study was to analyse medical management in geriatric patients in the Hospital Emergency Departments in the Biała Podlaska County and Chełm County (Poland) between 2016 and 2018 in a group of patients ≥65 years of age. We analysed medical records of 829 patients transported to Hospital Emergency Departments by Medical Emergency Teams. The research was conducted in the period from June 2019 to March 2020. We analysed emergency medical procedure forms and medical records of patients transported to the hospitals. Cardiovascular diseases were diagnosed in 40% of patients. Mortality cases accounted for 3.1% of the 1200 interventions analysed. Ambulance dispatch resulted in the patient being transported to the Hospital Emergency Departments in more than 2/3 of cases. The concordance between the diagnoses made by the Medical Emergency Teams and those made at the Hospital Emergency Departments was confirmed for 78% patients admitted to the department (n = 647), whereas the concordance of classification at the group level was estimated at 71.7% (n = 594). Further in-patient treatment was initiated in some of the patients admitted to the department (n = 385). The mean time of hospital stay was 10.1 days. In conclusion, differences between the initial diagnosis made by the heads of the Medical Emergency Teams and the diagnosis made by the doctor on duty in the Hospital Emergency Departments depended on the chapter of diseases in the ICD-10 classification, but they were acceptable. The majority of the patients were transported to Hospital Emergency Departments. The most common groups of diseases that require Hospital Emergency Departments admission include cardiovascular diseases, injuries due to external causes, and respiratory diseases. A moderate percentage of patients were qualified for further specialist treatment in hospital departments.

Pre-hospital emergency care system: Utilization of ambulance services in Nairobi county

Emergency Medical Service (EMS) is the system that organizes all aspects of medical care provided to patients in the pre-hospital environment and emergency department within hospitals. It comprises agencies and organizations (both private and public), communication and transportation networks, hospitals, highly trained professionals and a public aware on how to respond in emergencies. Kenya needs robust EMS due to the high prevalence of acute medical events such as COVID-19, natural and man-made disasters. The objective of this study was to assess utilization of ambulance services in Nairobi County. The study design was descriptive cross-sectional, using quantitative and qualitative research methods. Data was collected using interviewer-administered semi-structured questionnaires and key in-depth interviews from 14 ambulance services, 19 Emergency Care Centers (ECC), and community. Thirty-nine key informants were sampled using purposive sampling technique and 101 community members sampled using simple random sampling technique from 10 sub-counties. Data tools were pretested at Mukuru Kwa Njenga, a populous slum in Nairobi County. Approval to carry out the study was granted by the Ministry of Health, Kenya. Qualitative data was analyzed using NVIVO12 and quantitative data analyzed using descriptive statistics by use of SPSS vs 25 software. Findings are represented as frequencies and percentages. There were 14 ambulance service providers in the Nairobi Metropolitan Services area with a total of 42 ambulances. Forty-one ambulances were facility-based ambulances. All ambulance services had emergency numbers, and only 3 had short-toll free ambulance access numbers. There were 9 different ambulance dispatch centers in the county. Five ambulance services did not have a dispatch Centre. Public members were the first to assist in in 79% emergencies. There was low public awareness on available pre-hospital emergency care services and tollfree lines for emergency services. Ambulances utilization was also low.

Sleep deprivation and burnout syndrome among pre-hospital emergency medical service employees in Slovenia

Introduction: Sleep deprivation and burnout are common in employees who work in shifts, night shifts, overtime as well as those who work under stressful and unpredictable circumstances. The purpose of the study was to explore the quality of sleep, determine burnout level components and investigate the level of these components and their impact on the quality of sleep among employees in pre-hospital emergency medical services.Methods: A quantitative non-experimental research method was used. Data were collected using a standardized Pittsburgh sleep quality index questionnaire and a standardized Maslach burnout inventory questionnaire. The survey was completed by 204 healthcare professionals. Data were analyzed with univariate and bivariate statistics.Results: The average Pittsburgh Sleep Quality Index score was 4.97, s = 3.23. Poorer quality of sleep is exhibited by female respondents (57.4 %), respondents who are employed in more overloaded pre-hospital emergency service units (52.3 %) and those who work 24 hours or more (67.7 %). Overall, 17.6 % respondents exhibited high emotional exhaustion, 32.8 % exhibited high depersonalization and 9.3 % exhibited low personal accomplishment. A weak correlation was present between sleep quality and emotional exhaustion (r = 0.381, p < 0.01), depersonalization (r = 0.293, p < 0.01) and personal accomplishment (r = 0.368, p < 0.01).Discussion and conclusion: Healthcare professionals represent a vulnerable group that is subject to poor sleep quality and burnout syndrome, therefore, the need for empowering them in terms of proper sleep hygiene and burnout prevention is indicated.

Analysis of Risk Factors of Hospital Emergency Nursing Based on Comprehensive Nursing Methods

In order to improve the comprehensive nursing effect of the hospital emergency treatment, this paper analyzes the process of the hospital emergency treatment. In addition, this paper combines the possible risks to analyze the risk factors of the comprehensive nursing in the hospital emergency treatment and builds an intelligent analysis model based on the actual situation of the hospital emergency treatment. At the same time, this paper conducts a systematic survey of emergency services and gives the composition and structure of the system. In addition, this paper divides the business required by the system into modules, including registration module, doctor workstation, nurse workstation, query statistics module, decision-making module, and maintenance module. Finally, this paper suggests that in the process of the clinical triage, more ideas for improving the existing evaluation model should be proposed, and experience should be transformed into advantages, so as to improve emergency triage skills; establish an objective, quantitative, and scientific concept of emergency classification and triage; and fully realize scientific triage and precise triage.

Fast, Reliable, and Simple Point-of-Care-like Adaptation of RT-qPCR for the Detection of SARS-CoV-2 for Use in Hospital Emergency Departments

During COVID-19 pandemics, the availability of testing has often been a limiting factor during patient admissions into the hospital. To circumvent this problem, we adapted an existing diagnostic assay, Seegene Allplex SARS-CoV-2, into a point-of-care-style direct qPCR (POC dqPCR) assay and implemented it in the Emergency Department of Clinical Hospital Center Rijeka, Croatia. In a 4-month analysis, we tested over 10,000 patients and demonstrated that POC-dqPCR is robust and reliable and can be successfully implemented in emergency departments and similar near-patient settings and can be performed by medical personnel with little prior experience in qPCR.