RESUMEN
This study aims to investigate and address the issue of emergency department (ED) overcrowding, a significant problem worldwide. The study seeks to understand the impacts of ED overcrowding on emergency medical healthcare services and patient outcomes. This systematic review follows the PRISMA flow diagram and the guidelines of the Cochrane Handbook. We systematically reviewed the causes and solutions of emergency department overcrowding. We went through Google Scholar, the National Center for Biotechnology Information, the British Medical Journal, Science Direct, Ovid, Cochrane, the Saudi Journal of Emergency Medicine, Medline, and PubMed as databases. Our criteria were articles done in Saudi Arabia from 2012 to 2022. One hundred and ninety-six (196) research papers were extracted; only 28 articles met our paper inclusion-exclusion criteria. The result of these papers regarding causes, consequences, and solutions was that non-urgent and returned visits lacked knowledge of PHC, triad, and telemedicine services. Prolonged LOS is due to slow bed turnover, laboratory and consultation time, and physical response to the final decision resulting in burnout staff, wrong diagnoses, and management plans. The crowding issues can be resolved by awareness, PHC access, triad systems, and technological and telemedicine services. High demand for emergency treatment should not be a hindrance to quality treatment. Physical, technological, and strategic measures should be put in place to fight the crowding problem in EDs in Saudi Arabia, as it may cause adverse effects such as transmission of diseases and death of patients.
RESUMEN
BACKGROUND: Pulmonary embolism (PE) is a common acute life-threatening cardiovascular disorder. It is the third most common cause of hospital-related death and early detection and management of PE are crucial. The study aimed to evaluate the association between vital signs and laboratory investigations with PE. METHODS: This is a retrospective, hospital records-based, observational study, conducted among patients who were admitted to the emergency department of King Saud Medical City in Riyadh, Saudi Arabia with a suspected diagnosis of PE during the period of March 2021 to March 2022. Data were collected by searching patients' files and recording demographic data, and information about the clinical presentation, workup, and outcome. Data were entered and analyzed using SPSS version 26 (IBM, Armonk, NY), utilizing Chi-square statistics to test differences between groups, and logistic regression analyses to identify predictors of PE. RESULTS: The study included 92 patients, with a preponderance of females (70.7%), and those aged 40-60 years (51.1%). Diabetes mellitus (44.6%), and hypertension (30.4%) were the most common comorbidities among others, while shortness of breath (SOB) (83.7%), and chest pain (44.6%) were among the most commonly reported symptoms. A majority of patients had tachycardia (64.1%), while about half had low oxygen saturation (51.5%), and nearly one-third had tachypnea (29.3%), which was more predominant among those not diagnosed with PE. Logistic regression analysis revealed that SOB, respiratory rate, and oxygen saturation were the only significant predictors of PE. CONCLUSION: Although being an integral part of the initial assessment in the hospital, measuring the vital signs is not always reflective of the likelihood of PE, and they should not be the only metric relied upon to make decisions about treatment approaches in patients with PE. Physicians should ensure the employment of evidence-based clinical prediction rules and guidelines when diagnosing and managing PE.