Dataset Information

On the management of COVID-19 pandemic in Italy.

ABSTRACT: The fast-moving coronavirus disease 2019 (COVID-19) called for a rapid response to slowing down the viral spread and reduce the fatality associated to the pandemic. Policymakers have implemented a wide range of non-pharmaceutical interventions to mitigate the spread of the pandemic and reduce burdens on healthcare systems. An efficient response of healthcare systems is crucial to handle a health crisis. Understanding how non-pharmaceutical interventions have contributed to slowing down contagions and how healthcare systems have impacted on fatality associated with health crisis is of utmost importance to learn from the COVID-19 pandemic. We investigated these dynamics in Italy at the regional level. We found that the simultaneous introduction of a variety of measures to increase social distance is associated with an important decrease in the number of new infected patients detected daily. Contagion reduces by 1% with the introduction of lockdowns in an increasing number of regions. We also found that a robust healthcare system is crucial for containing fatality associated with COVID-19. Also, proper diagnosis strategies are determinant to mitigate the severity of the health outcomes. The preparedness is the only way to successfully adopt efficient measures in response of unexpected emerging pandemics.

SUBMITTER: Santeramo FG

PROVIDER: S-EPMC8165038 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

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On the management of COVID-19 pandemic in Italy.

Santeramo Fabio Gaetano FG Tappi Marco M Lamonaca Emilia E

Health policy (Amsterdam, Netherlands) 20210531 8

The fast-moving coronavirus disease 2019 (COVID-19) called for a rapid response to slowing down the viral spread and reduce the fatality associated to the pandemic. Policymakers have implemented a wide range of non-pharmaceutical interventions to mitigate the spread of the pandemic and reduce burdens on healthcare systems. An efficient response of healthcare systems is crucial to handle a health crisis. Understanding how non-pharmaceutical interventions have contributed to slowing down contagion ...[more]

PMID: 34099317

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Project description:Antimicrobial resistance (AMR) represents a major issue in healthcare being correlated to global inappropriate use of antibiotics. The aim of this study was to compare the data on hospital antibiotic consumption in 2020-2021 with those related to 2019 in order to evaluate the impact of the COVID-19 pandemic on antibiotic prescriptions and appropriate use at national level and in the different geographical areas. To estimate the consumption of antibiotics, two indicators were calculated: "number of DDD per 1000 inhabitants per day" and "number of DDD per 100 hospitalisation days". Consumption data on antibiotics dispensed in public health facilities were based on the Italian "traceability of medicines" information flow. Data on hospitalisation days were extracted from the Italian "hospital discharge form" flow. Pearson correlation analysis was performed between the number of patients hospitalised for COVID-19 and the consumption of antibiotics in public healthcare facilities. During 2020, about 1.7 DDD/1000 inhabitants per day (12.3% of the overall consumption of reimbursed antibiotics) were dispensed exclusively in Italian hospitals (+0.8% compared to 2019). Considering the number of DDD per 100 hospitalisation days, consumption increased by 19.3% in 2020 compared to 2019. Comparing the first semester of 2020 and 2019, a decrease of DDD/1000 inhabitants per day was observed (-1.6%) at national level, with opposite trends in the different geographical areas; an increase in the use of azithromycin and carbapenems was also observed, with a stable consumption of third-generation cephalosporins. The use of antibiotics in the second semester of 2020 compared to the same period of 2019 showed a clear reduction at national level (-8.5%), appreciable to a similar extent in all geographic areas. In the first semester of 2021 compared to the same period of 2020, there was a huge reduction (-31.4%) in consumption at national level. However, the variations were heterogeneous between different geographical areas. To our knowledge, this study represents the most comprehensive analysis performed on antibiotic consumption data in hospital settings in Italy during the COVID-19 pandemic to date. Despite international and national guideline recommendations, a substantial overall increase in antibiotic prescriptions was observed during the COVID-19 pandemic, with variability in terms of geographical distribution and prescription strategies. These findings may be related to the dichotomy between perceived and real significance of guidelines, expert panels, or consensus. Therefore, new approaches or strategies to antimicrobial stewardship should be proposed.

Project description:BackgroundHematological patients are a highly vulnerable population with an increased risk of developing severe COVID-19 symptoms due to their immunocompromised status. COVID-19 has proven to cause serious mental health issues, such as stress, anxiety, and depression in the general population. However, data on the psycho-social impact of COVID-19 on hematological patients are lacking.ObjectivesThis study aims to examine the psychological well-being of hematological patients in Italy during the initial period of the COVID-19 pandemic. Furthermore, it seeks to explore the association between modifications in the management of hematological diseases and employment status of these patients during the COVID-19 pandemic and the resulting mental health outcomes.Design and methodsA survey using the DASS-21 questionnaire was administered to 1105 hematological patients. Data analysis was conducted using the R software, and logistic regression analysis was performed to predict the association between hematological patient/general population and employment status with DASS scores.ResultsThe hematological patient population reported significantly higher levels of depression (OR 0.947, 95% CI 0.966-0.982, p < 0.001), anxiety (OR 0.948, 95% CI 0.939-0.958, p < 0.001), and stress (OR 0.984, 95% CI 0.977-0.992, p < 0.001) compared with the general population. A significant relationship has been found in stress between employed and unemployed patients (OR 1.015, 95% CI 1.000-1.030, p = 0.044), as well as in the control group (OR 1.024, 95% CI 1.010-1.039, p = 0.001). In addition, employment status is significantly related to depression, anxiety, and stress in both the hematological patient group and the general population.ConclusionDuring the initial phase of the COVID-19 pandemic, hematological patients had elevated levels of depression, anxiety, and stress compared with the general population. The delay in their treatment and employment status played a role in their mental health outcomes. These findings emphasize the importance of further research to gain deeper insight into the long-term psychological effects and explore effective strategies for managing mental health in similar crises.

Dataset Information

On the management of COVID-19 pandemic in Italy.

Publications

On the management of COVID-19 pandemic in Italy.

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