Study Objective: Emergency Department (ED) visits decreased significantly in the United States during the COVID-19 pandemic. A troubling proportion of this decrease was among patients who typically would have been admitted to the hospital, suggesting substantial deferment of care. We sought to describe and characterize the impact of COVID-19 on hospital admissions through EDs, with a specific focus on diagnosis group, age, gender, and insurance coverage.
Methods: We conducted a retrospective, observational study of aggregated third-party, anonymized ED patient data. This data included 501,369 patient visits from twelve EDs in Massachusetts from 1/1/2019-9/9/2019, and 1/1/2020-9/8/2020. We analyzed the total arrivals and hospital admissions and calculated confidence intervals for the change in admissions for each characteristic. We then developed a Poisson regression model to estimate the relative contribution of each characteristic to the decrease in admissions after the statewide lockdown, corresponding to weeks 11 through 36 (3/11/2020-9/8/2020).
Results: We observed a 32% decrease in admissions during weeks 11 to 36 in 2020, with significant decreases in admissions for chronic respiratory conditions and non-orthopedic needs. Decreases were particularly acute among women and children, as well as patients with Medicare or without insurance. The most common diagnosis during this time was SARS-CoV-2.
Conclusion: Our findings demonstrate decreased hospital admissions through EDs during the pandemic and suggest that several patient populations may have deferred necessary care. Further research is needed to determine the clinical and operational consequences of this delay.
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http://dx.doi.org/10.1016/j.ajem.2020.11.029 | DOI Listing |
BMC Nurs
January 2025
Departamento de Práticas Assistenciais, Hospital Israelita Albert Einstein, Avenue Albert Einstein, 627-701, São Paulo, 05651-901, Brazil.
Background: Patients hospitalized outside of monitored environments may experience sudden clinical worsening requiring transfer to the Intensive Care Unit. Early detection based on the clinical nurse's identification of the risk of clinical deterioration represents an opportunity to prevent serious adverse events. Nurse worry is defined as the use of clinical reasoning combined with intuition that precedes the patient's clinical deterioration.
View Article and Find Full Text PDFBMC Res Notes
January 2025
UQ Centre for Clinical Research, Faculty of Health Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia.
Objectives: This data note presents a comprehensive geodatabase of cardiovascular disease (CVD) hospitalizations in Mashhad, Iran, alongside key environmental factors such as air pollutants, built environment indicators, green spaces, and urban density. Using a spatiotemporal dataset of over 52,000 hospitalized CVD patients collected over five years, the study supports approaches like advanced spatiotemporal modeling, artificial intelligence, and machine learning to predict high-risk CVD areas and guide public health interventions.
Data Description: This dataset includes detailed epidemiologic and geospatial information on CVD hospitalizations in Mashhad, Iran, from January 1, 2016, to December 31, 2020.
J Transl Med
January 2025
Department of Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, China.
Background: Acute respiratory distress syndrome (ARDS) is a prevalent complication among critically ill patients, constituting around 10% of intensive care unit (ICU) admissions and mortality rates ranging from 35 to 46%. Hence, early recognition and prediction of ARDS are crucial for the timely administration of targeted treatment. However, ARDS is frequently underdiagnosed or delayed, and its heterogeneity diminishes the clinical utility of ARDS biomarkers.
View Article and Find Full Text PDFJ Eat Disord
January 2025
School of Social Work, Faculty of Social Welfare and Health Sciences, University of Haifa, 3498838, Haifa, Israel.
Objective: The Eating Attitudes Test-26 (EAT-26) is considered the screening instrument of choice to identify eating disorders (ED) symptoms in clinical and community populations, showing a classical three-factor structure. This study assessed whether the factor structure of the EAT-26 in patients with ED was stable at admission and discharge from inpatient treatment.
Methods: We administered the EAT-26 to 207 female adolescents with ED at both admission and discharge.
BMC Infect Dis
January 2025
Department of Respiratory Medicine, Children's Hospital of Soochow University, Jingde Road No. 303, Suzhou, 215003, China.
Background: The aim of this study was to investigate the clinical characteristics of severe pneumonia caused by human bocavirus (HBoV) infection to explore the associated risk factors.
Methods: We conducted a retrospective review of data from children hospitalized with HBoV pneumonia. Based on the severity of pneumonia, patients were categorized into severe pneumonia and non-severe pneumonia groups.
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