View clinical trials related to Emergencies.
Filter by:This study was conducted to examine the experiences and feelings of health professionals while providing care to refugee children and families in pediatric emergency service.
Many patients who present to the emergency department (ED) receive a vast array of diagnostic tests, some of which might not be useful. Providers often feel obligated to order so many tests to protect themselves against the risk of being sued. The investigators believe if a standard of care providing legal protection for certain clinical conditions were agreed upon and followed, unnecessary testing would significantly decrease in the ED, which, in turn, would improve patient safety, augment the quality of care delivered, and increase patient satisfaction.
Airway is the first step in the initial assessment of a trauma patient. Often this assessment determines the need for endotracheal intubation, most commonly by rapid sequence intubation (RSI). Currently, there is no consensus on best practice for RSI drug regimens. Given the fragmented nature of this topic, most RSI drugs are chosen by the intubating physician based on their experience (i.e., a "dealer's choice"). Overall, emergency medical care is moving towards standardization to decrease medical errors and improve outcomes. Clearly, the current approach to RSI drug regimens does not align with those goals. This study seeks first to define commonly used RSI drug regimens for trauma, and second to investigate hospital course and long-term health outcomes as a potential way to define best practice RSI drugs for trauma patients. The study will be a multi-center retrospective chart review of data collected from January 1, 2014 to January 1, 2019, and will include Level I trauma centers in Texas. The University of Texas at Austin (UTA) is hosting this study as a Texas Level I Trauma Centers Multicenter Trial. Additional sites will have their own institutional IRB approval and will provide de-identified data to the principal investigator (PI) via secure encrypted email. Data will be submitted for MDMC trauma patients to UTA and analyzed within the Dell Med Department of Surgery and Perioperative Care and treated in the same way with the same security as data collected at Dell Seton Medical Center. The plan to complete the data collection and analysis by January 1, 2021. After de-identification, descriptive statistical analysis will be performed. Statistics reported will include frequencies. Logistic regression model to predict outcome will be performed. Odds ratio, confidence interval, and P value will be reported using logistic regression for outcome models for both adjusted and unadjusted models. The statistical software package SAS 9.3 will be used for all calculations.
The study was designed to evaluate the APIVIGIE program use at CH d'Arras. The objective of this program is to reduce repeated visits by the same patient to the emergency room for Alcoholism Severe Paroxysmal
An Open-Label, Randomized Pilot Study Comparing the Safety of a Single Dose of TNX-1300 to Usual Care (UC) Alone for the Treatment of Signs and Symptoms of Acute Cocaine Intoxication in Male Emergency Department (ED) Subjects
An Emergency Department (ED) visit for an older adult is a high-risk medical intervention. Known adverse events (AE) include delirium, prolonged ED or hospital stay, hospitalization, recurrent ED visits and hospital death. These happen in a growing proportion in ED visitors over age 65 are over who are represented in ED visits. Tools predicting AEs in the ED are of paramount importance to help decision-making on patient triage and disposition. They can help identify areas of unmet needs for seniors in order to develop targeted actions. Multiple scoring systems including "Programme de recherche sur l'intégration des services de maintien de l'autonomie" (PRISMA-7), Identification of Seniors at Risk (ISAR), Clinical Frailty Scale (CFS), Brief Geriatric Assessment (BGA) have extensively been studied in the ED and other settings for various outcomes. These tools rely on a simple scoring system that minimally trained staff can reliably and quickly administer. Doing otherwise is unlikely to be applicable to daily clinical practice. As prediction accuracy has not significantly improved in the past decade, perhaps new analysis strategies are necessary. The current hype surrounding deep learning comes from better and cheaper hardware and the availability of simple and open-source libraries supported by large companies and a broad community of users. Hence, implementing deep learning (DL) algorithms is now open to a wide range of settings, including medical care in a standard clinical practice. DL has been shown to be more accurate than the average board-certified specialist on very specific tasks. Prediction of various clinical outcomes has produced less dramatic results, perhaps as traditional (non-DL) models already outperformed clinicians for many disease states. Published DL approaches applied to outcome prediction in the ED have focused on acutely ill adults in general, specific conditions or administrative issues such as admitting department or ED overcrowding. None have targeted a specific age group like older ED visitors. An important caveat to many DL approaches is interpretation of results. To develop interventions based on targeted features associated with AEs in a given model, it has to be somewhat transparent. If multiple layers of NNs improve prediction compared to linear regression, they often provide no clinically relevant insight on how and which variables interact to yield that result.
The current study seeks to test the feasibility of an alternative treatment for patients with opioid use disorder who present to the emergency department seeking treatment or with opioid withdrawal, which includes FDA approved long-acting medication for opioid misuse (SUBLOCADE) and rapid transfer of care to outpatient substance abuse treatment.
Nausea and vomiting is a common and distressing presenting complaint in Canadian emergency departments. Commonly used nausea medications have proven to be effective in certain patient populations, for example cancer patients. However, not one has been proven to be more effective that the other in the emergency department setting. In addition, many are associated with significant side effects and have the potential to interact with a patient's home medications. This limits their use in the emergency department until the patient is seen and assessed by their treating physician. Many studies have shown that nasal inhalation of alcohol swabs is an effective therapy in relieving nausea and vomiting in post-operative patients after surgeries. The goal of this study will be to determine the effectiveness of alcohol swabs in the emergency department setting in relieving nausea and vomiting.
This feasibility study is being conducted to understand how discharged emergency department patients who were tested for the SARS-CoV-2 virus (COVID-19) engage with a symptom-tracking web application. Study participants that are enrolled in the study will be asked to enter daily information about their health into the CovidX web application (app.). In addition, patients will answer questions regarding anxiety levels, use a pulse oximeter to record information (if you own one or are given one). The investigators predict that participants will be able to engage with the CovidX web application over several days to weeks for the purposes of symptom tracking, and may have decreased anxiety over the study period.
The study is aimed in patients with persistent dizziness as the chief complaint that is treated with acupuncture or/and far-infrared heat-patch attachment intervention over the acupoints for the purpose of dizziness symptoms treatment. The research hypothesis is that the treatment over acupoints in traditional Chinese medicine is effective in treating symptoms of dizziness.