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Background: During 2020, COVID-19 had a diversified distribution in Italy, the first nation in Europe to experience the outbreak of the epidemic. This was linked to geographical differences in population density and distribution of healthcare facilities, including Emergency Departments (EDs). This study aims to assess the impact of the pandemic on ED utilization in 2020 across different subpopulations and geographical locations in Italy. Methods: We used anonymized data from a survey conducted by the Italian National Institute of Statistics on 25,000 families to analyze the yearly rate of people who used EDs from 2015 to 2020. The rate of persons who accessed ED services in 2020 per 1,000 population was compared with those of the previous non-pandemic years. Results: The number of people accessing EDs in 2020 was 32.3% lower, although this reduction was not uniform across the 21 regions / autonomous provinces. People aged 0-14 years experienced the highest reduction in ED visits. In 2020, low educational level people exhibited a steeper reduction in the use of EDs. Conclusions: This study shows a significant drop in EDs use especially by children; the population section mostly affected by the effects of the pandemic. This study also confirms that education and socio-economic status are important determinants of ED use. The heterogeneous reduction in ED use across the regions of Italy highlights the need to further investigate the impact of this pattern on the health of the population, as well as to define adequate preparedness strategies to face future emergencies.
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Background Emergency Departments (EDs) are increasingly pivotal, with a constant increment in their use, despite stable or declining fundings. Crowding can lead to disruptions and the COVID-19 epidemic has further burdened ED services. However, the pandemic has seen an increased use of telemedicine and digital health tools, which may be notably beneficial for EDs. This study offers a review of the latest available digital health technologies and their effectiveness to improve ED performance. Methods We performed a narrative review to identify digital and technological innovations in EDs. The themes of interest were defined in 4 areas: Patient Assessment, Patient Experience, Resource Allocation, and Discharge. Data was analyzed by 5 independent reviewers who focused on different macro-areas. Disagreement on data was discussed with 2 independent tiebreakers. Results Our search yielded 25 articles addressing 4 topics: Patient Assessment, Resource Allocation, Patient Experience, Discharge. We found that digital tools and Artificial Intelligence are powerful tools to detect, collect, and process data from patients, to improve healthcare delivery in EDs. The Resource Allocation category showed to be key in optimizing services already in place. New technologies showed effective to improve Patient Experience by curbing pain and anxiety. Innovative technologies demonstrated efficacy after Discharge when patients need guidance from clinicians for follow-up care. Conclusions Our review shows evidence of increasing effectiveness of innovative tools in reducing wait time and improving performance and patient experience in EDs. Technology applied to resource allocation appeared to be the most effective category. Prediction algorithms could be used to improve workforce allocation and bed management. Critical care systems must meet the challenge of innovative technologies which can lead to a new era in healthcare delivery with improvements for patients and healthcare professionals. Key messages • Digital innovation will have a significant impact on several dimensions of healthcare in the near future. • Healthcare systems and EDs must meet the challenge of innovative technologies which can lead to a new era in healthcare delivery with improvements for both patients and healthcare professionals.
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Background Plenty of literature reported the applicability and usefulness of telemedicine and teleassistance (TMTA) services in the management of diabetes and other chronic conditions. Specifically, TMTA proved to be effective for conditions that require radical lifestyle modifications, tailored pharmacological interventions, and periodic monitoring of clinical health status. The purpose of this study is to investigate the individual and contextual determinants of the perceived quality (PQ) of the telemedicine and teleassistance (TMTA) services and the willingness to continue (WC) with them among patients with diabetes using TMTA during the COVID-19 pandemic in one large region of Italy (Emilia-Romagna). Methods A structured survey was administered to patients with type 1 and 2 diabetes who used TMTA services during the first wave of the COVID-19 pandemic. The questionnaire was comprised of questions on TMTA service experience and participants’ socio-demographic characteristics. Multiple regression models investigated the independent factors associated with PQ (score 1-100) and WC (yes/no). Results The final analysis included 569 patients with diabetes (54.7% female), with an average age of 58.1 years. TMTA services’ PQ and WC were high. A higher education (OR = 1.83;95%CI 1.04, 3.31) and being unemployed (OR = 2.57;95%CI 1.17, 6.02) were factors associated with an increased WC. Older age was negatively related to PQ (b = −3.6;95%CI −6.8, −0.29). Perceived support from TMTA service was positively associated with PQ (b = 10.1;95%CI 5.1, 15) and WC (OR = 2.03;95%CI 1.07, 3.85). Perceived increase in disease self-management was positively associated with PQ (b = 5.3;95%CI 0.24, 10) and WC (OR = 7.11;95%CI 4.04, 12.8). Conclusions Our study identified several determinants of PQ and WC. These socio-demographic and patient-perception related factors should be considered in the implementation of care pathways integrating in-person visits with TMTA services. Key messages • Socio-demographic factors play a crucial role in TMTA acceptance and should be taken into due consideration when implementing health pathways integrating in-person visits with TMTA services. • Health workers should always try to improve patients’ self-management skills and should always make patients feel supported. This is also true in the digital health era.
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Background Although investigating the patterns of COVID-19 excess mortality (EM) is relevant, understanding the effects of the pandemic on cause-specific mortality is even crucial and should also be assessed, as this metric allows for a more detailed analysis of the true impact of the pandemic. The aim of this systematic literature review is to estimate the impact of the pandemic on different causes of death, providing a quantitative and qualitative analysis of the phenomenon. Methods We searched MEDLINE to identify studies that reported cause-specific mortality during the COVID-19 pandemic. We adopted several inclusion criteria: original article;assessed at least one cause-specific mortality during the pandemic;assessed causes of deaths using the ICD-10 classification;reporting of at least one of the following outcomes: cause-specific mortality estimates or cause-specific EM;full-length articles. Several relevant data were extracted (e.g. publication year, data stratification, territory, country income level, all-cause EM, and cause-specific mortality, etc.). Results The search identified 548 articles. After title, and full-text screening, we extracted relevant data from the final set of 14 articles. Cause-specific mortality was reported using different units of measurement. Only 9 studies reported the statistical significance and/or confidence intervals. The most frequently analyzed causes of death were cardiovascular diseases (n = 11), cancer (n = 7), diabetes (n = 6), and suicide (n = 5). We found very heterogeneous patterns of cause-specific mortality, for all the specific causes of deaths, except for suicide and road accident. Conclusions The impact of the pandemic on cause-specific deaths has been very heterogeneous and the analyses conducted so far are not exhaustive. We advocate for the urgent need to find a consensus to define uniform methodological approaches to establish the true burden of the COVID-19 pandemic on non-COVID-19 mortality. Key messages • We reviewed the body of literature to estimate the impact of the COVID-19 pandemic on different causes of death, and to provide a quantitative and qualitative analysis of the phenomenon. • We did not identify unique patterns of cause-specific mortality due to too varied approaches in terms of disease classification and coding, and methodologies used for estimating mortality.
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Background Vaccine Hesitancy (VH) is considered by the WHO to be one of the ten threats of the 21st century. The Italian National Plan for Vaccine Prevention, as well as the European Action Plan, have among their objectives that of increasing the adherence to vaccinations both in general population and in categories at higher risk. It is precisely to these latter groups that the action of the Bologna Local Health Authority (LHA) has addressed targeted vaccination campaigns in recent years (e.g., DTP, HepB, PCV/PPV, RZV). Aim of our study was to investigate adherence to the proposed vaccination campaigns. Methods An anonymous QR-code scanned survey was administered to adults during the COVID-19 vaccine campaign in February in Bologna, a city in Northern Italy. Results A total of 2,321 participants were enrolled, 59% of whom were female. Among healthcare workers (n = 1,417), VH was 45.6% for Hib in 2020, 60.3% in 2019, and 68.3% in 2018;and 14.9% for HepB. Among people with chronic conditions (n = 149), 36.6% did not get the PCV/PPV vaccine. Among RZV vaccine recipients (n = 406), only 11.1% reported having been vaccinated. Women who were at least once pregnant in the last 5 years (n = 124), did not get the anti-pertussis vaccine in 41.9% of cases, and 71.8% of them refused the Hib vaccine. In general, the reasons most often given for missed vaccinations were ‘I did not inform myself enough about this specific vaccine' (ranging from 16.0% for Hib for healthcare workers to 44.8% for RZV), ‘I am not informed about the vaccinations I am entitled to' (27.3% for RZV, 31.8% for PCV/PPV), and ‘I do not find it useful' (46.2% for Hib in healthcare workers). Conclusions Our findings show that even in those who accept the COVID-19 vaccine, VH is high for other vaccinations campaigns run by the Bologna LHA. Targeted awareness and designed catch-up actions are needed, especially regarding this group that does not totally stand in the ranks of the so-called ‘no vax'. Key messages Vaccine Hesitancy toward other vaccines remains high among those who accept the anti-COVID-19 vaccination. A large number of hesitant respondents report either not being aware of the possibility of vaccination or not being adequately informed about the specific vaccine.
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BACKGROUND AND AIMS: Many studies are available that reported a higher risk of COVID-19 disease among patients on dialysis or with kidney transplantation, and the poor outcome of COVID-19 in these patients. Patients in conservative therapy for chronic kidney disease (CKD) have received lower attention, therefore little is known about how COVID-19 may affect this population. The aim of this study was to analyse the COVID-19 incidence and mortality in CKD patients followed up in an integrated healthcare program, living in a small area of Northern Italy. METHOD: The study population included CKD patients from the Emilia-Romagna Prevention of Progressive Renal Insufficiency (PIRP) project, followed up in the 4 nephrology units (Ravenna, Forlì, Cesena and Rimini) of AUSL Romagna (Italy) and alive at 1.01.2020. All patients were in conservative therapy and none of them had initiated dialysis or received kidney transplantation. The hospital discharge database was used to identify patients hospitalized with COVID-19 up to 31.07.2020, and the mortality database was used to assess mortality among patients with COVID-19 at the same date. Multivariable logistic regression was used to identify predictors of COVID- 19 disease, and Kaplan-Meier survival analysis to identify predictors of COVID-19 mortality. Excess mortality of 2020 compared to mortality in 2015-19 in the PIRP cohort was also estimated. RESULTS: COVID-19 incidence among CKD patients was 4.09% (193/4716 patients), while in the general population it was 0.46% (5,195/1,125,574). COVID-19 was more likely in CKD patients with older age (Odds Ratio=1.038), cardiovascular comorbidities (OR=2.217), COPD (OR=1.559) and less likely in patients living in the province of Ravenna (OR=0.468), that was hit later by the first wave of pandemic compared to the other areas of AUSL Romagna. Baseline eGFR was lower in CKD patients with COVID-19 (31.7 vs. 35.8 ml/min/1.73 m2), but this difference did not reach statistical significance (p=0.066). As of 31.07.2020, the crude mortality rate among CKD patients with COVID-19 was 44.6% (86/193), compared to 4.7% (215/ 4523) in CKD patients without COVID-19 and to 14.5% (4289/29670) in the general population with COVID-19 of the Emilia-Romagna region. Factors associated with mortality of CKD patients with COVID-19 were older age (p=0.034) and the period of COVID-19 onset (p=0.003). The highest crude mortality rate (71.4%) was found in CKD patients for whom COVID-19 onset occurred between 8 and 21 March. The excess mortality of January-July 2020 with respect to the average mortality of January- July 2015-19 in the PIRP cohort was +17.7%, corresponding to 77 excess deaths. March-April was the period with the highest excess mortality (+69.8%), while in January-February a 15.9% lower mortality was observed with respect to the corresponding months of the five previous years. CONCLUSION: In our study, including a cohort of regularly followed up CKD patients, the risk of COVID-19 disease and of COVID-19 related mortality was comparable, or even somewhat higher, to that observed in patients on dialysis and those who received kidney transplantation. The incidence of COVID-19 in CKD patients was higher in the areas of AUSL Romagna earlier affected by the pandemic wave, whereas mortality rates were similar across all areas. CKD patients represent a population very vulnerable to COVID-19 disease, and their protection should be highly prioritized in the models of care and prevention measures.
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In the near future, COVID-19 vaccine efficacy trials in larger cohorts may offer the possibility to implement child and adolescent vaccination. The opening of the vaccination for these strata may play a key role in order to limit virus circulation, infection spreading towards the most vulnerable subjects, and plan safe school reopening. Vaccine hesitancy (VH) could limit the ability to reach the coverage threshold required to ensure herd immunity. The aim of this study was to investigate the prevalence and determinants of VH among parents/guardians toward a potentially available COVID-19 vaccination for children and adolescents. An online survey was performed in parents/guardians of children aged <18 years old, living in Bologna. Overall, 5054 questionnaires were collected. A vast majority (60.4%) of the parents/guardians were inclined to vaccinate, while 29.6% were still considering the opportunity, and 9.9% were hesitant. Highest vaccine hesitancy rates were detected in female parents/guardians of children aged 6-10 years, <=29 years old, with low educational level, relying on information found in the web/social media, and disliking mandatory vaccination policies. Although preliminary, these data could help in designing target strategies to implement adherence to a vaccination campaign, with special regard to web-based information.
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In March 2021, the coronavirus disease 2019 (COVID-19) pandemic still poses a threat to the global population, and is a public health challenge that needs to be overcome. Now more than ever, action is needed to tackle vaccine hesitancy, especially in light of the availability of effective and safe vaccines. A cross-sectional online survey was carried out on a representative random sample of 1011 citizens from the Emilia-Romagna region, in Italy, in January 2021. The questionnaire collected information on socio-demographics, comorbidities, past vaccination refusal, COVID-19-related experiences, risk perception of infection, and likelihood to accept COVID-19 vaccination. Multiple logistic regression analyses and classification tree analyses were performed to identify significant predictors of vaccine hesitancy and to distinguish groups with different levels of hesitancy. Overall, 31.1% of the sample reported hesitancy. Past vaccination refusal was the key discriminating variable followed by perceived risk of infection. Other significant predictors of hesitancy were: ages between 35 and 54 years, female gender, low educational level, low income, and absence of comorbidities. The most common concerns about the COVID-19 vaccine involved safety (54%) and efficacy (27%). Studying the main determinants of vaccine hesitancy can help with targeting vaccination strategies, in order to gain widespread acceptance-a key path to ensure a rapid way out of the current pandemic emergency.
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The Covid-19 pandemic significantly increased the workload for the Italian Health Service. There is few information in the literature on the pediatric population and on the management of pediatric hospitals. The aim of this article is to describe the management of healthcare services during Covid-19 emergency in Regina Margherita Children's Hospital. The Regina Margherita Children's Hospital is specialized in the prevention, diagnosis and treatment of pediatric diseases. About 1000 health worker work in this Hospital and 278 hospitalization places are available.
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OBJECTIVES: The objective of the study is to compare excess mortality (EM) patterns and spatial correlation between the first and second wave of the pandemic in Lombardy, the Italian region that paid an extremely high COVID-19-related mortality toll in March and April 2020. STUDY DESIGN: We conducted a longitudinal study using municipality-level mortality data. METHODS: We investigated the patterns and spatial correlation of EM of men aged ≥75 years during the first two pandemic waves (March-April 2020 vs November 2020) of COVID-19, using the mortality data released by the Italian National Institute of Statistics. EM was estimated at the municipality level to accurately detect the critical areas within the region. RESULTS: The areas that were mostly hit during the first wave of COVID-19 were generally spared by the second wave: EM of men aged ≥75 years in the municipality of Bergamo plummeted from +472% in March and April to -13% in November, and in Cremona the variation was from +344% to -19%. Conversely, in November 2020 EM was higher in some areas that had been protected in the first wave of the pandemic. Spatial correlation widely corroborates these findings, as large sections of the hot spots of EM detected in the first wave of the pandemic changed into cold spots in the second wave, and vice versa. CONCLUSIONS: Our results reveal the specular distribution of EM between the first and second wave of the pandemic, which may entail the consequences of social distancing measures and individual behaviors, local management strategies, 'harvesting' of the frailer population and, possibly, acquired immune protection. In conclusion, our findings support the need for continuous monitoring and analysis of mortality data using detailed spatial resolution.
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COVID-19/mortality , Pandemics , Aged , COVID-19/epidemiology , Cities/epidemiology , Humans , Italy/epidemiology , Longitudinal Studies , Male , Mortality/trends , Small-Area Analysis , Spatial AnalysisABSTRACT
Background The recent COVID-19 epidemic is showing how the response of the scientific literature is fundamental in the first days following the onset of a new epidemic. Quantifying which studies have a greatest impact can help researchers and policymakers in controlling the epidemic. The aim of this study is to describe the early scientific production in response to the COVID-19 epidemic through a scientometric analysis. Methods The study consisted of: 1) review of the scientific literature produced in the 30 days since the first paper related to COVID-19 has been published on Pubmed;2) Identification of papers' Digital Object Identifiers (DOI) and analysis of related metrics with the construction of a 'Computed Impact Score' (CIS) that represents a unifying score over heterogeneous bibliometric indicators. The CIS takes into account all the bibliometric indicators both traditional (i.e. counting of citations) and alternative (i.e. altmetrics). In this study we use the altmetrics provided by Plum Analytics (PlumX). All bibliometric indicators for the selected papers have been collected by using their corresponding DOIs as the key for querying Scopus API, which integrates PlumX. On top of those indicators we compute the CIS. The papers with higher CIS are discussed and presented. Results 239 papers have been included in the study. A threshold for CIS of t = 1.04 (i.e.95% quantile) allowed us to record 8 papers as potentially impactful. The 8 papers are: 6 case reports, 1 methodological study, 1 editorial. First authors come from China (n = 6), USA (n = 1) and Germany (n = 1). The main topics are: case/s description (n = 5), outbreak investigation (n = 2) and 1 genomic study. Conclusions The early response of the scientific literature during an epidemic does not follow a pre-established pattern. Tracing the traditional and non-traditional metrics measures of papers can help to understand and evaluate the impact of literature on the scientific community and general population. Key messages The dynamic of the scientific community represents an important aspect of the early response to the onset of a new epidemic, which must be studied also to increase systems’ preparedness. In a connected digital world, tracing metrics measures of scientific papers can identify those with the greatest impact and help professionals to correctly inform the population.