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1.
West J Emerg Med ; 22(4): 860-870, 2021 Jul 16.
Article in English | MEDLINE | ID: mdl-35354013

ABSTRACT

INTRODUCTION: Healthcare patterns change during disease outbreaks and pandemics. Identification of modified patterns is important for future preparedness and response. Emergency department (ED) crowding can occur because of the volume of patients waiting to be seen, which results in delays in patient assessment or treatment and impediments to leaving the ED once treatment is complete. Therefore, ED crowding has become a growing problem worldwide and represents a serious barrier to healthcare operations. METHODS: This observational study was based on a retrospective review of the epidemiologic and clinical records of patients who presented to the Foundation IRCCS Policlinic San Matteo in Pavia, Italy, during the coronavirus disease 2019 (COVID-19) outbreak (February 21-May 1, 2020, pandemic group). The methods involved an estimation of the changes in epidemiologic and clinical data from the annual baseline data after the start of the COVID-19 pandemic. RESULTS: We identified reduced ED visits (180 per day in the control period vs 96 per day in the pandemic period; P < 0.001) during the COVID-19 pandemic, irrespective of age and gender, especially for low-acuity conditions. However, patients who did present to the ED were more likely to be hemodynamically unstable, exhibit abnormal vital signs, and more frequently required high-intensity care and hospitalization. During the pandemic, ED crowding dramatically increased primarily because of an increased number of visits by patients with high-acuity conditions, changes in patient management that prolonged length of stay, and increased rates of boarding, which led to the inability of patients to gain access to appropriate hospital beds within a reasonable amount of time. During the pandemic, all crowding output indices increased, especially the rates of boarding (36% vs 57%; P < 0.001), "access block" (24% vs 47%; P < 0.001), mean boarding time (640 vs 1,150 minutes [min]; P 0.001), mean "access block" time (718 vs 1,223 min; P < 0.001), and "access block" total time (650,379 vs 1,359,172 min; P < 0.001). CONCLUSION: Crowding in the ED during the COVID-19 pandemic was due to the inability to access hospital beds. Therefore, solutions to this lack of access are required to prevent a recurrence of crowding due to a new viral wave or epidemic.


Subject(s)
COVID-19 , Pandemics , COVID-19/epidemiology , Crowding , Emergency Service, Hospital , Hospitalization , Humans
2.
Respir Med ; 99(12): 1568-75, 2005 Dec.
Article in English | MEDLINE | ID: mdl-15890509

ABSTRACT

Chronic obstructive pulmonary disease (COPD) exacerbations could represent an opportunity for pro-active COPD management rather than mere treatment if previously unknown disease is discovered; the extent of underdiagnosis and undertreatment of COPD in patients attending an emergency department (ED) with an exacerbation is not known. During 2002, we recalled 131 COPD patients in stable conditions, 4-8 weeks after they had attended the ED or been discharged from our University Hospital (North-West of Italy). Information on diagnosis and management prior to the ED attendance were collected; spirometry and arterial blood gas analyses were performed. One-third of patients had never been diagnosed and treated even though 83% of them had moderate-to-very-severe COPD and about 30% already had respiratory failure. Only 20% had received information on the nature of the disease and none had received a written action plan. Only 60% were receiving long-acting bronchodilators and 41% of patients with respiratory failure were receiving long-term oxygen. A substantial number of undiagnosed and untreated patients with moderate-to-very-severe COPD came to our attention through an exacerbation. This enforces the importance of exacerbations as the starting point of pro-active COPD management and of the ED as a valuable sentinel to identify this subset of patients.


Subject(s)
Patient Selection , Pulmonary Disease, Chronic Obstructive/diagnosis , Pulmonary Disease, Chronic Obstructive/therapy , Acute Disease , Aged , Aged, 80 and over , Chi-Square Distribution , Diagnostic Errors , Emergencies , Female , Hospitalization , Humans , Lung/physiopathology , Male , Middle Aged , Probability , Pulmonary Disease, Chronic Obstructive/physiopathology , Treatment Failure
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