scholarly journals 131Spatio-temporal analysis to assess health effects of landscape fire smoke: an empirical model

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Adeleh Shirangi ◽  
Alex Xiao ◽  
Emmanuel Ongee ◽  
Ivana Ivánová ◽  
Ashraf Dewan ◽  
...  
Keyword(s):  
Health Care ◽  
Emergency Department ◽  
Cardiovascular Diseases ◽  
Health Effects ◽  
Hospital Admissions ◽  
Temporal Analysis ◽  
Emergency Department Visits ◽  
Increased Risk ◽  
Wide Range ◽  
High Level

Abstract Background Understanding the health effects of smoke from landscape fires (LFs), including wildfires and prescribed burns, is limited due to lack of adequate smoke exposure measures. Methods We used the reported LFs to determine smoke plume shapes from satellite images. Daily remotely sensed fire radiative power, aerosol optical depth, smoke plumes, fire danger rating, venting index and previous day PM 2.5 were then used to estimate smoke-related particulate matter 2.5 (PM2.5). A population based time series design was used to assess associations between smoke-related PM2.5 and selected adverse health outcomes such as hospital admissions, emergency department visits and ambulance callouts. Results We found a significant dose-response relationship between increased smoke-related PM2.5 concentration and 1% to 5% increase for total emergency department attendances and total hospital admissions on the same day and the lag effects of 3 days where the PM2.5 was at medium level (95-98th percentile) and high level ( > =99th percentile) compared to the low level (<95th percentile). There was also 1% to 25% increased risk for individuals who were exposed to high level LF smoke with selected respiratory and cardiovascular diseases in selected health care utilisations. Conclusions Exposure to LF smoke at a high level was spatio-temporally associated with a wide range of adverse respiratory and cardiovascular diseases in selected health care utilisations. Key messages

scholarly journals Trends in Emergency Department Visits and Hospital Admissions in Health Care Systems in 5 States in the First Months of the COVID-19 Pandemic in the US

2020 ◽  
Vol 180 (10) ◽  
pp. 1328 ◽  
Author(s):  
Molly M. Jeffery ◽  
Gail D’Onofrio ◽  
Hyung Paek ◽  
Timothy F. Platts-Mills ◽  
William E. Soares ◽  
...  
Keyword(s):  
Health Care ◽  
Emergency Department ◽  
Hospital Admissions ◽  
Health Care Systems ◽  
Emergency Department Visits ◽  
The Us ◽  
Care Systems

scholarly journals Relationship Between Intensive Care Unit Delirium Severity and 2-Year Mortality and Health Care Utilization

2020 ◽  
Vol 29 (4) ◽  
pp. 311-317
Author(s):  
Patricia S. Andrews ◽  
Sophia Wang ◽  
Anthony J. Perkins ◽  
Sujuan Gao ◽  
Sikandar Khan ◽  
...  
Keyword(s):  
Health Care ◽  
Intensive Care Unit ◽  
Emergency Department ◽  
Intensive Care ◽  
Health Care Utilization ◽  
Mortality Risk ◽  
Hazard Ratio ◽  
Emergency Department Visits ◽  
Care Utilization ◽  
Increased Risk

Background Critical care patients with delirium are at an increased risk of functional decline and mortality long term. Objective To determine the relationship between delirium severity in the intensive care unit and mortality and acute health care utilization within 2 years after hospital discharge. Methods A secondary data analysis of the Pharmacological Management of Delirium and Deprescribe randomized controlled trials. Patients were assessed twice daily for delirium or coma using the Richmond Agitation-Sedation Scale and the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU). Delirium severity was measured using the CAM-ICU-7. Mean delirium severity (from time of randomization to discharge) was categorized as rapidly resolving, mild to moderate, or severe. Cox proportional hazards regression was used to model time to death, first emergency department visit, and rehospitalization. Analyses were adjusted for age, sex, race, Charlson Comorbidity Index, Acute Physiology and Chronic Health Evaluation II score, discharge location, diagnosis, and intensive care unit type. Results Of 434 patients, those with severe delirium had higher mortality risk than those with rapidly resolving delirium (hazard ratio 2.21; 95% CI, 1.35-3.61). Those with 5 or more days of delirium or coma had higher mortality risk than those with less than 5 days (hazard ratio 1.52; 95% CI, 1.07-2.17). Delirium severity and number of days of delirium or coma were not associated with time to emergency department visits and rehospitalizations. Conclusion Increased delirium severity and days of delirium or coma are associated with higher mortality risk 2 years after discharge.

scholarly journals Patient‐Reported Outcomes Predict Future Emergency Department Visits and Hospital Admissions in Patients With Stroke

2021 ◽  
Vol 10 (6) ◽  
Author(s):  
Irene L. Katzan ◽  
Nicolas Thompson ◽  
Andrew Schuster ◽  
Dolora Wisco ◽  
Brittany Lapin
Keyword(s):  
Emergency Department ◽  
Patient Reported Outcomes ◽  
Prediction Models ◽  
Hospital Admissions ◽  
Emergency Department Visits ◽  
Mitigation Strategies ◽  
Increased Risk ◽  
Patient Reported ◽  
Ed Visits ◽  
Unplanned Admissions

Background Identification of stroke patients at increased risk of emergency department (ED) visits or hospital admissions allows implementation of mitigation strategies. We evaluated the ability of the Patient‐Reported Outcomes Information Measurement System (PROMIS) patient‐reported outcomes (PROs) collected as part of routine care to predict 1‐year emergency department (ED) visits and admissions when added to other readily available clinical variables. Methods and Results This was a cohort study of 1696 patients with ischemic stroke, intracerebral hemorrhage, subarachnoid hemorrhage, or transient ischemic attack seen in a cerebrovascular clinic from February 17, 2015, to June 11, 2018, who completed the following PROs at the visit: Patient Health Questionnaire‐9, Quality of Life in Neurological Disorders cognitive function, PROMIS Global Health, sleep disturbance, fatigue, anxiety, social role satisfaction, physical function, and pain interference. A series of logistic regression models was constructed to determine the ability of models that include PRO scores to predict 1‐year ED visits and all‐cause and unplanned admissions. In the 1 year following the PRO encounter date, 1046 ED visits occurred in 548 patients; 751 admissions occurred in 453 patients. All PROs were significantly associated with future ED visits and admissions except PROMIS sleep. Models predicting unplanned admissions had highest optimism‐corrected area under the curve (range, 0.684–0.724), followed by ED visits (range, 0.674–0.691) and then all‐cause admissions (range, 0.628–0.671). PROs measuring domains of mental health had stronger associations with ED visits; PROs measuring domains of physical health had stronger associations with admissions. Conclusions PROMIS scales improve the ability to predict ED visits and admissions in patients with stroke. The differences in model performance and the most influential PROs in the prediction models suggest differences in factors influencing future hospital admissions and ED visits.

scholarly journals Exploring the factors associated with non-urgent emergency department utilisation for mental health care

2019 ◽  
Vol 24 (8) ◽  
pp. 663-674 ◽  
Author(s):  
Fabrice I Mowbray ◽  
Abeer E Omar ◽  
Kathyrn Pfaff ◽  
Maher M El-Masri
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Emergency Department ◽  
Mental Health Care ◽  
Secondary Data ◽  
Time Of Day ◽  
Emergency Department Visits ◽  
Local Health ◽  
Emergency Department Use ◽  
Increased Risk

Background Emergency department visits for mental health care are on the rise across North America. Patients with mental illness are at an increased risk for frequent and non-urgent emergency department visitation. Aims The purpose of this study was to examine the independent predictors of non-urgent emergency department use for mental health care. Methods A secondary data analysis was conducted with archived data provided by the Erie St. Clair Local Health Integration Network in Ontario. Results A total of 13,114 mental health-related emergency department visits were analysed using logistic regression with generalised estimating equations modelling. The findings suggest the following characteristics are predictive of non-urgent emergency department use for mental health care: age, season, time of day, access to primary health care, mode of arrival, hospital type, referral source and patient diagnosis. Conclusions The findings of this study can be utilised to assist clinicians and policy makers in identifying and managing patients using the emergency department for non-urgent mental health care.

Risk factors of hospital admissions and recurrent emergency department visits among pediatric asthma patients

2020 ◽  
pp. 1011-1015
Author(s):  
Abdullah Aldamigh ◽  
Afaf Alnefisah ◽  
Abdulrahman Almutairi ◽  
Fatima Alturki ◽  
Suhailah Alhtlany ◽  
...  
Keyword(s):  
Risk Factors ◽  
Emergency Department ◽  
Hospital Admissions ◽  
Pediatric Asthma ◽  
Emergency Department Visits ◽  
Asthma Patients

scholarly journals THU0417 READMISSION RISK AND QUALITY OF CARE IN PATIENTS PRESENTING TO THE EMERGENCY DEPARTMENT WITH GOUT FLARES

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 446.2-446
Author(s):  
L. Brunetti ◽  
J. Vekaria ◽  
P. Lipsky ◽  
N. Schlesinger
Keyword(s):  
Risk Factors ◽  
Emergency Department ◽  
Economic Burden ◽  
Hospital Admissions ◽  
Medical Center ◽  
Research Support ◽  
Increased Risk ◽  
Comorbidity Index ◽  
Anti Inflammatory ◽  
Gout Flares

Background:Gout is the most common form of inflammatory arthritis and its economic burden is substantial, with estimates for the overall cost exceeding $20 billion (US) annually. Contributing to the economic burden are hospital admissions and iatrogenic events associated with pharmacotherapy. Identification of modifiable risk factors would be an important contribution to clinical practice.Objectives:The aim of this study was to identify opportunities for enhancing gout care in patients presenting to the Emergency Department (ED) with gout flares.Methods:This retrospective cohort study used data from electronic medical records (EMR) at a large community hospital. All consecutive patients visiting the medical center ED with a primary diagnosis of gout from 1/1/2016 to 7/1/2019 were included. Patients were then followed for 90 days to determine whether they were readmitted to the ED for any reason. A chart review identified whether they were on appropriate medications in terms of gout flare management. All data were summarized using descriptive statistics. A multiple logistic regression was constructed to identify risk factors for ED utilization within 90 days of the index visit.Results:A total of 214 patients were included in the analysis. Most patients were male (79%), mean age was 59.4 ± 15.6 years, and mean Charlson comorbidity index was 0.5 ± 1.14. The most common medications prescribed during the ED visit included NSAIDs (41.6%), opioids (28%), corticosteroids (26.6%), and colchicine (21%). Allopurinol and febuxostat were initiated in the ED in 4.7% and 0.9%, respectively. Discharge medications for the management of gout included NSAIDs (37%), corticosteroids (34.6%), opioids (23.8%), colchicine (14%), febuxostat (7%), and allopurinol (6.5%). Of the patients sent home with an opioid, 40% were newly prescribed. An anti-inflammatory medication was not prescribed in 29.6% of patients discharged from the ED. Readmission within 90 days was recorded in 16.8% of patients. Of these readmissions, 33.3% were gout-related and 11.1% were cardiac related.After adjusting for age and comorbidity index, patients receiving colchicine were 2.8 times more likely (OR, 2.81; 95% CI, 1.12 to 7.02; p=0.027) to return to the ED within 90 days. The most common cause of readmission in this subset was gout-related (54.5%).Conclusion:Nearly 30% of patients were discharged from the ED without an anti-inflammatory medication, whereas initiation of urate lowering therapy was rare. Opiates were used frequently, but the indication was uncertain. Only 5.6% of subjects revisited the ED for gout-related diagnoses in the subsequent 3 months. Colchicine prescription was associated with an increased risk of gout-related ED utilization within 90 days. Treatment of gout in the ED is sub-optimal and often does not follow established guidelines.Disclosure of Interests: :Luigi Brunetti Grant/research support from: Astellas Pharma, CSL Behring, Consultant of: Horizon Foundation of New Jersey, Janaki Vekaria: None declared, Peter Lipsky Consultant of: Horizon Therapeutics, Naomi Schlesinger Grant/research support from: Pfizer, AMGEN, Consultant of: Novartis, Horizon Pharma, Selecta Biosciences, Olatec, IFM Therapeutics, Mallinckrodt Pharmaceuticals, Speakers bureau: Takeda, Horizon

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