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1.
Arch Cardiol Mex ; 91(Supl): 18-24, 2021.
Article in English | MEDLINE | ID: covidwho-2318143

ABSTRACT

OBJETIVO: Determinar la percepción de los médicos internos residentes (MIR) de cardiología de España sobre el efecto de la pandemia por COVID-19 en su formación y la adaptación realizada por sus servicios. MÉTODOS: Estudio de corte transversal a través de una plataforma de encuesta digital con el objetivo de conocer la opinión individual de los MIR de cardiología sobre la influencia de la pandemia en su formación. Se realiza un análisis estadístico para determinar los factores que influyeron en la percepción de la formación afectada. RESULTADOS: Participó un total de 180 MIR de las 17 comunidades autónomas (CA). Los MIR de tercer año fueron los más afectados, junto con los que rotaban en imagen cardíaca. Los residentes de las CA con una prevalencia >5 casos/1,000 habitantes fueron los que mayor probabilidad tuvieron de ser desplazados de sus servicios. CONCLUSIONES: Según la opinión de los participantes, el efecto de la pandemia por COVID-19 en su formación fue más negativa en los residentes de tercer año y los que rotaban en imagen cardíaca. OBJECTIVE: The objectives were to analyze the perception of the Cardiology Fellows in Training (FIT) of Spain about the impact of the COVID-19 pandemic on their academic training and to know the adaptative changes performed by their department. METHODS: A cross-sectional study performed through a digital survey platform for Cardiology FIT. Chi2 analysis and logistic regression were performed to determine the factors that influenced on the perception of an affected training. RESULTS: A total of 180 FIT from the 17 regions of Spain participated. Third year FIT and those rotating in cardiac imaging were the most affected with statistically significant difference. The residents of the regions with a prevalence of >5 cases/1,000 inhabitants were the most likely to be displaced from their departments. CONCLUSIONS: According to the opinion of the participants, the impact of the COVID-19 pandemic on their academic training was more negative in third year FITs and those rotating in cardiac imaging.


Subject(s)
COVID-19 , Cardiology , Cardiology/education , Cross-Sectional Studies , Humans , Internship and Residency , Pandemics , Retrospective Studies , Spain
2.
Med J Aust ; 215(11): 513-517, 2021 12 13.
Article in English | MEDLINE | ID: covidwho-1468685

ABSTRACT

OBJECTIVES: To describe the short term ability of Australian intensive care units (ICUs) to increase capacity in response to heightened demand caused by the COVID-19 pandemic. DESIGN: Survey of ICU directors or delegated senior clinicians (disseminated 30 August 2021), supplemented by Australian and New Zealand Intensive Care Society (ANZICS) registry data. SETTING: All 194 public and private Australian ICUs. MAIN OUTCOME MEASURES: Numbers of currently available and potentially available ICU beds in case of a surge; available levels of ICU-relevant equipment and staff. RESULTS: All 194 ICUs responded to the survey. The total number of currently open staffed ICU beds was 2183. This was 195 fewer (8.2%) than in 2020; the decline was greater for rural/regional (18%) and private ICUs (18%). The reported maximal ICU bed capacity (5623) included 813 additional physical ICU bed spaces and 2627 in surge areas outside ICUs. The number of available ventilators (7196) exceeded the maximum number of ICU beds. The reported number of available additional nursing staff would facilitate the immediate opening of 383 additional physical ICU beds (47%), but not the additional bed spaces outside ICUs. CONCLUSIONS: The number of currently available staffed ICU beds is lower than in 2020. Equipment shortfalls have been remediated, with sufficient ventilators to equip every ICU bed. ICU capacity can be increased in response to demand, but is constrained by the availability of appropriately trained staff. Fewer than half the potentially additional physical ICU beds could be opened with currently available staff numbers while maintaining pre-pandemic models of care.


Subject(s)
COVID-19/therapy , Hospital Bed Capacity , Intensive Care Units/organization & administration , Australia/epidemiology , COVID-19/epidemiology , Equipment and Supplies, Hospital/statistics & numerical data , Equipment and Supplies, Hospital/supply & distribution , Humans , Intensive Care Units/statistics & numerical data , New Zealand/epidemiology , Pandemics/prevention & control , Registries/statistics & numerical data
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