Background/Objectives : In Italy, the ongoing reform of primary healthcare (Ministerial Decree 77/2022) requires Health Districts to shift towards proactive, need-based resource allocation. Despite evidence of their role in shaping citizens' health, socioeconomic deprivation indices remain rarely integrated into territorial planning frameworks. This study develops and validates a population-weighted analytical model linking area-level socioeconomic deprivation, territorial accessibility, and all-cause mortality across the entire Italian territory, with the aim of supporting evidence-based planning. Methods : All 7899 Italian municipalities were aggregated into 1175 territorial units defined by Health District boundaries and SNAI (National Strategy for Inner Areas) classification. A population-weighted multivariable OLS regression model was used to examine the association between socioeconomic indicators (educational deprivation, employment, household isolation) and the Standardized Mortality Ratio (SMR) for 2023-2024. Results : The model explained 72.5% of the variance in SMR across territorial units (adjusted R-2 = 0.719; F = 116.5; p < 0.0001). Region of residence emerged as the dominant predictor. Educational deprivation showed the strongest positive association with mortality. While employment-related deprivation was inversely associated with SMR, household isolation showed a positive independent association with mortality. Residual mapping identified spatial clusters of excess mortality unexplained by socioeconomic factors, pointing to unmeasured determinants including environmental exposures and healthcare quality differentials Conclusions : Our model provides a replicable, evidence-based framework for identifying territorial vulnerability and prioritising healthcare resources at the Health District level. By benchmarking observed mortality against socioeconomic predictions, it enables planners to distinguish structurally driven excess mortality from potentially amenable mortality, supporting proactive, equity-oriented planning consistent with the objectives of Ministerial Decree 77/2022.

Avoidable emergency department (ED) access, though inconsistently defined and measured, is a major driver of both overcrowding and opportunity costs for healthcare systems. Among numerous factors associated with avoidable ED access, foreign citizenship has been increasingly recognized as an important predictor. Indeed, structural and administrative hurdles may prevent foreign citizens from accessing primary healthcare, making the ED a primary entry point for medical advice. This study aimed to investigate disparities in avoidable ED visits among foreign and Italian citizens in Liguria, the oldest region in Europe in terms of population age. In this cross-sectional study, all adult (≥ 18 years) ED visits registered in Liguria during 2023 and 2024 were eligible. Considering the lack of a standardized definition of avoidable ED visits, for the main analysis, we used both narrow (non-urgency only) and broad (non-urgency plus minor urgency) definitions based on the 5-level triage priority codes. Discharge severity codes were used in the sensitivity analysis. The association between citizenship and avoidable ED visits was quantified via modified Poisson regression. After adjusting for confounders, interaction terms were tested to evaluate effect variations. Of 916,568 ED visits recorded during the study period, 14.08

Background/Objectives: Seasonal influenza vaccination is crucial for reducing morbidity, mortality, and healthcare burdens. The 2023/2024 Ligurian vaccination campaign (Italy) utilized an inclusive model involving local health authorities, general practitioners, pediatricians, and pharmacies to enhance accessibility. Our study aimed at focusing on factors influencing vaccine uptake, public attitudes and access to preventive healthcare services. Methods: A cross-sectional survey was conducted among adults (≥18 years) in Ligurian pharmacies visitors during the vaccination campaign. A self-administered structured questionnaire gathered data on demographics, vaccination history, healthcare access, and awareness. Results: The study included 30,499 participants, and the median age with P25-P75 (years) was 62.0 [47.0-74.0]; 54.6% were female. Considering determinants of accepting influenza vaccination, age was identified as a strong independent predictor. Each one-year increase in age was associated with a 3.8% increase in the odds of influenza vaccination (OR 1.03, 95% CI 1.03-1.04, p < 0.001). Compared to individuals who never visited their general practitioners, those who visited "sometimes", "often", or "very often" had significantly higher odds of influenza vaccination (OR 1.54, 1.97, and 1.98, respectively; p < 0.001 for all categories). The strongest predictor of influenza vaccination in the 2023/2024 season was having received the influenza vaccine in the previous season (2022/2023) (OR 71.73, 95% CI 65.38-78.78, p < 0.001). Consistent with increasing age predicting higher influenza vaccination uptake, older age was associated with lower odds of refusing the vaccine due to the belief that "getting or transmitting influenza does not matter" or due to "other or unspecified reasons". In contrast, receipt of the COVID-19 vaccination significantly increased the odds of holding these opinions. Among individuals who cited reasons such as fear of side effects, concerns about vaccine safety, fear of injections, general opposition to vaccines, or doubts about vaccine effectiveness, having received the COVID-19 vaccine was associated with lower odds of citing these as barriers to influenza vaccination. Conclusions: Fear of side effects and perceived unnecessary vaccination are key barriers. Targeted education and the involvement of general practitioners could enhance vaccine acceptance, particularly among hesitant groups.

Cancer remains one of the leading causes of morbidity and mortality worldwide, posing a significant burden on individuals, health systems, and societies [...]

Background/Objectives: Multiple sclerosis (MS) is often associated with comorbidities that affect clinical outcomes. Data on comorbidities can be sourced from self-reports, medical records, and administrative databases. The gold standard for collecting such data is prospective clinical collection, as in clinical trials, but this is not feasible in large epidemiological studies. This study aimed to assess the agreement between two data sources, clinical interviews and administrative records, identifying major comorbidities in people with MS (pwMS). Methods: We evaluated the agreement between clinical interview data and administrative records in pwMS enrolled at two sites (2021-2022). Seven comorbidities were investigated: depression, anxiety, diabetes, hypertension, autoimmune disease, chronic lung disease, and hyperlipidemia. We used kappa (κ), sensitivity, specificity, and predictive values to assess agreement. Results: The frequency of comorbidities varied between the sources. Administrative data often underestimated hypertension, autoimmune diseases, hyperlipidemia, and anxiety, but over-reported depression. It had high sensitivity for diabetes (80%) and moderate sensitivity for hypertension (62%). The agreement for diabetes (κ = 98.9%, PABAK = 0.98, positive agreement = 83.3%) and hypertension (κ = 89.8%, PABAK = 0.80, positive agreement = 70.8%) was high. Conclusions: The agreement between administrative data and clinical interviews was excellent for diabetes and hypertension. For other conditions, such as psychiatric, hyperlipidemia, and autoimmune comorbidities, administrative data had lower sensitivity, and often under-reported or misclassified the data.

As known, influenza presents a multifaceted challenge to public health, causing disease that ranges from mild cases to severe pandemics with significant morbidity and mortality. Effective pandemic preparedness demands a comprehensive strategy that integrates research, surveillance, response coordination and community engagement, to mitigate the impact of future health emergencies. The pandemic preparedness cycle involves dynamic, cyclical phases of preparation and response aimed at enhancing response capacity. Italy's 2021-2023 National Strategic-Operational Plan for Pandemic Influenza (PanFlu) incorporates lessons learned from past pandemics and serves as a framework for regional plans, such as Liguria's. The Ligurian plan delineates governance structures, surveillance strategies, healthcare services and communication measures necessary for effective pandemic management. It emphasizes the need to strengthen links between emergency structures, to avoid duplication and to adopt flexible approaches to scale actions appropriately and highlights the need for risk/benefit analysis to support evidence-based decision-making as well as clear guidance on data collection and communication activities. By integrating these elements, the region's overall readiness and resilience against influenza pandemics are expected to be reinforced.

Background: Lung cancer is an oncological threat worldwide, including in Italy. New organizational approaches based on a network of cancer centers and multidisciplinary and technological innovation are required. The experience in the Liguria region, in northwestern Italy, in the management of lung cancer is presented with a focus on the organizational model. Methods: A retrospective observational analysis was conducted for the period from January 2019 to December 2023 using administrative regional data. Results: Of the total surgery treatments in Liguria, most were carried out at the IRCCS San Martino (about 47%), which is the hub’s center. Most cases involved males aged ≥65 years (p < 0.001). Passive mobility showed a decrease in recent years. Considering the type of access to clinical structures, almost all that were finalized to receive chemotherapy were from the day hospital regimen (99%). Conclusion: A comprehensive approach must be carried out for cancer patients to maintain high levels of care quality. In this challenging context, the Liguria region has implemented new organizational approaches based on the networking of cancer centers and multidisciplinary and technological innovation.

In this study, we examined the effects of memory training on cognitive function and depressive symptoms in a cohort of 794 healthy adults aged 50 years or older. Participants were divided into an active intervention group and a passive intervention group, with various cognitive measures assessed over a one-year period. Univariate analysis revealed that the active intervention group consistently outperformed the passive group in measures of memory self-perception (Memory Complaint Questionnaire—MACQ), depressive symptoms (Geriatric Depression Scale—GDS-4), verbal memory and recall ability (A3LP), and verbal fluency (VF). Significant differences in MACQ scores were observed between the two groups at all time points, indicating enhanced memory self-perception in the active group. GDS-4 scores consistently favored the active group, suggesting a reduction in depressive symptoms. A3LP scores demonstrated that the active group had better verbal memory and recall abilities. VF scores consistently favored the active group, indicating superior language skills and cognitive flexibility. Linear regression model and mixed linear regression model reinforced these findings, with highly significant interaction effects observed between the active/passive group, gender, age, education, and time. These effects were particularly pronounced for MACQ and A3LP scores, indicating the combined impact of these factors on memory self-perception and verbal memory. This study highlights the positive impact of memory training intervention on cognitive function and depressive symptoms in older adults and underscores the importance of considering gender, age, and education in cognitive interventions. Notably, these benefits persist for up to six months from the end of the program. The results provide valuable insights into cognitive changes in aging populations and suggest that tailored memory training programs can yield significant improvements.

After years of cost-containment policies, the Italian National Health Service (NHS) has now the chance to change and improve, especially thanks to the National Recovery and Resilience Plan (NRRP). The plan serves as a catalyst for reform, allocating substantial funds to reinforce proximity networks, facilities, and telemedicine for territorial healthcare. Mission 6, specifically dedicated to health, focuses on integrating primary healthcare, hospital, and specialty care networks, underscoring the importance of a robust primary healthcare system. In alignment with NRRP objectives, the Ligurian model introduces innovative structures, such as Community Houses (CdCs), Community Hospitals (OdCs), and Territorial Operation Centres (COTs). These interconnected components form a dynamic network designed to enhance healthcare accessibility, prevent inappropriate hospital admissions, and facilitate efficient patient transitions. The model prioritizes multidisciplinary collaboration, community engagement, and the integration of socio-healthcare services. Despite substantial NRRP funding for infrastructure, challenges related to staffing and human resources persist. The social and epidemiological context highlights concern about the economic feasibility of the reform, potential workforce shortages, and the imperative for updated regulatory frameworks. The strategic reallocation of personnel from acute hospitals to new facilities is crucial, requiring meticulous workforce planning, role definitions, and trainingIn conclusion, the Ligurian model emerges as a proactive response to the structural vulnerabilities exposed by the pandemic, aligning with international trends in emphasizing primary care, prevention, and community-based services.

Lung cancer is the leading cause of cancer-related deaths in Europe, with low survival rates primarily due to late-stage diagnosis. Early detection can significantly improve survival rates, but lung cancer screening is not currently implemented in Italy. Many countries have implemented lung cancer screening programs for high-risk populations, with studies showing a reduction in mortality. This review aimed to identify key areas for establishing a lung cancer screening program in Italy. A literature search was conducted in October 2022, using the PubMed and Scopus databases. Items of interest included updated evidence, approaches used in other countries, enrollment and eligibility criteria, models, cost-effectiveness studies, and smoking cessation programs. A literature search yielded 61 scientific papers, highlighting the effectiveness of low-dose computed tomography (LDCT) screening in reducing mortality among high-risk populations. The National Lung Screening Trial (NLST) in the United States demonstrated a 20% reduction in lung cancer mortality with LDCT, and other trials confirmed its potential to reduce mortality by up to 39% and detect early-stage cancers. However, false-positive results and associated harm were concerns. Economic evaluations generally supported the cost-effectiveness of LDCT screening, especially when combined with smoking cessation interventions for individuals aged 55 to 75 with a significant smoking history. Implementing a screening program in Italy requires the careful consideration of optimal strategies, population selection, result management, and the integration of smoking cessation. Resource limitations and tailored interventions for subpopulations with low-risk perception and non-adherence rates should be addressed with multidisciplinary expertise.

The SARS-CoV-2 pandemic continues to spread worldwide, generating a high impact on healthcare systems. The aim of the study was to examine the epidemiological burden of SARS-CoV-2 reinfections and to identify potential related risk factors. A retrospective observational study was conducted in Liguria Region, combining data from National Vaccines Registry and Regional Chronic Condition Data Warehouse. In the study period (September 2021 to May 2022), 335,117 cases of SARS-CoV-2 infection were recorded in Liguria, of which 15,715 were reinfected once. During the Omicron phase (which predominated from 3 January 2022), the risk of reinfection was 4.89 times higher (p < 0.001) than during the Delta phase. Unvaccinated and vaccinated individuals with at least one dose for more than 120 days were at increased risk of reinfection compared with vaccinated individuals with at least one dose for ≤120 days, respectively (odds ratio (OR) of 1.26, p < 0.001; OR of 1.18, p < 0.001). Healthcare workers were more than twice as likely to be reinfected than non-healthcare workers (OR of 2.38, p < 0.001). Lower ORs were seen among people aged 60 to 79 years. Two doses or more of vaccination were found to be protective against the risk of reinfection rather than a single dose (mRNA vaccines: OR of 0.06, p < 0.0001, and OR of 0.1, p < 0.0001; vector vaccines: OR of 0.05, p < 0.0001). Patients with chronic renal failure, cardiovascular disease, bronchopneumopathy, neuropathy and autoimmune diseases were at increased risk of reinfection (OR of 1.38, p = 0.0003; OR of 1.09, p < 0.0296; OR of 1.14, p = 0.0056; OR of 1.78, p < 0.0001; OR of 1.18, p = 0.0205). Estimating the epidemiological burden of SARS-CoV-2 reinfections and the role played by risk factors in reinfections is relevant for identifying risk-based preventive strategies in a pandemic context characterized by a high circulation of the virus and a high rate of pathogen mutations.

Streptococcus pneumoniae infection is responsible for significant morbidity and mortality, particularly in young children and older adults. The aim of this study was to investigate the incidence of hospitalisation and emergency department (ED) visits in relation to episodes of pneumococcal disease (PD) following the introduction of pneumococcal conjugate vaccines (PCVs) into the Liguria region of Italy. Between 2012 and 2018, episodes of all-cause pneumonia (80,152), pneumococcal-specific pneumonia (1254), unspecified pneumonia (66,293), acute otitis media (AOM; 17,040), and invasive PD (IPD; 1788) were identified from in-patient claims, ED and hospital discharge records, and the Liguria Chronic Condition Data Warehouse. In children < 15 years of age, pneumococcal pneumonia-related hospitalisations decreased from 35 to 13 per 100,000 person-years during the study period (p < 0.001); this decrease is potentially related to PCV use in children. All-cause pneumonia hospitalisations remained stable, whereas IPD hospitalisations increased and AOM hospitalisations decreased. In adults, hospitalisations for all-cause pneumonia increased from 5.00 to 7.50 per 1000 person-years (+50%; p < 0.001). Pneumococcal and unspecified pneumonia hospital admissions increased significantly during the study period, considerably affecting those ≥ 65 years of age. IPD hospitalisations varied across all age groups, but a significant change was not observed. Despite pneumococcal vaccination, substantial burden remains for PD in children and adults in Liguria, Italy.

Vaccinations against Streptococcus pneumoniae are included in infant immunization programs globally. However, a substantial burden due to pneumococcal disease (PD) remains. This study aimed to estimate the cost of emergency department (ED) visits and hospitalizations associated with invasive pneumococcal disease, all-cause pneumonia, and acute otitis media in children <15 years of age in the Liguria region of Italy between 2012 and 2018. The retrospective cohort study used data from the Liguria Region Administrative Health Databases and the Ligurian Chronic Condition Data Warehouse, which contain information on hospital stays, outpatient visits, laboratory/imaging techniques, surgical procedures, and pharmaceutical prescriptions. Patients with one or more ED or inpatient claim for PD (based on International Classification of Diseases, Ninth Revision, Clinical Modification codes) were included. Cost of ED visits and hospitalizations were estimated from the diagnosis-related group system and procedures performed in the ED. In Ligurian children <15 years of age during 2012–2018, the median annual number of hospitalizations plus ED visits due to PD was 4,009, and the median estimated annual cost was €3.6 million. All-cause pneumonia accounted for the majority of hospitalization costs during the study period. Number and costs of ED visits and hospitalizations increased from 2012 to 2018. Despite widespread infant immunization in Liguria, economic costs due to PD-associated ED visits and hospitalizations remained high in children 0–14 years of age.

Background Influenza surveillance systems vary widely between countries and there is no framework to evaluate national surveillance systems in terms of data generation and dissemination. This study aimed to develop and test a comparative framework for European influenza surveillance. Methods Surveillance systems were evaluated qualitatively in five European countries (France, Germany, Italy, Spain, and the United Kingdom) by a panel of influenza experts and researchers from each country. Seven surveillance sub-systems were defined: non-medically attended community surveillance, virological surveillance, community surveillance, outbreak surveillance, primary care surveillance, hospital surveillance, mortality surveillance). These covered a total of 19 comparable outcomes of increasing severity, ranging from non-medically attended cases to deaths, which were evaluated using 5 comparison criteria based on WHO guidance (granularity, timing, representativeness, sampling strategy, communication) to produce a framework to compare the five countries. Results France and the United Kingdom showed the widest range of surveillance sub-systems, particularly for hospital surveillance, followed by Germany, Spain, and Italy. In all countries, virological, primary care and hospital surveillance were well developed, but non-medically attended events, influenza cases in the community, outbreaks in closed settings and mortality estimates were not consistently reported or published. The framework also allowed the comparison of variations in data granularity, timing, representativeness, sampling strategy, and communication between countries. For data granularity, breakdown per risk condition were available in France and Spain, but not in the United Kingdom, Germany and Italy. For data communication, there were disparities in the timeliness and accessibility of surveillance data. Conclusions This new framework can be used to compare influenza surveillance systems qualitatively between countries to allow the identification of structural differences as well as to evaluate adherence to WHO guidance. The framework may be adapted for other infectious respiratory diseases.

Background:We conducted a population-based cohort study to estimate mortality before, during and after the COVID-19 peak and to compare mortality in 2020 with rates reported in previous years, with a view to helping decision makers to apply containment measures for high-risk groups.Methods:All deaths were collected between 2015 and 2020 from municipal registry database. In 2020, weeks 1-26 were stratified in three periods: before, during and after the COVID mortality peak. The Poisson Generalized Linear regression Model showed the "harvesting effect". Three logistic regressions for 8 dependent variables (age and comorbidities) and a t-test of differences described all-cause mortality risk factors in 2019 and 2020 and differences between COVID and non-COVID patients.Results:A total of 47,876 deaths were collected. All-cause deaths increased by 38.5% during the COVID peak and decreased by 18% during the post-peak period in comparison with the average registered during the control period (2015-19), with significant mortality displacement in 2020. Except for chronic renal injuries in subjects aged 45-64 years, diabetes and chronic cardiovascular diseases in those aged 65-84 years, and neuropathies in those aged > 84 years, the weight of comorbidities in deaths was similar or lower in COVID subjects than in non-COVID subjects.Discussions:Surprisingly, the weight of comorbidities in death, compared to weight in non-COVID subjects allows you to highlight some surprising results such as COPD, IBD and Cancer. The excess mortality that we observed in the entire period were modest in comparison with initial estimates during the peak, owing to the mild influenza season and the harvesting effect starting from the second half of May.

Intra-abdominal infections represent the second most frequently acquired infection in the intensive care unit (ICU), with mortality rates ranging from 20% to 50%. Candida spp. may be responsible for up to 10–30% of cases. This study assesses risk factors for development of intra-abdominal candidiasis (IAC) among patients admitted to ICU. We performed a case–control study in 26 European ICUs during the period January 2015–December 2016. Patients at least 18 years old who developed an episode of microbiologically documented IAC during their stay in the ICU (at least 48 h after admission) served as the case cohort. The control group consisted of adult patients who did not develop episodes of IAC during ICU admission. Matching was performed at a ratio of 1:1 according to time at risk (i.e. controls had to have at least the same length of ICU stay as their matched cases prior to IAC onset), ICU ward and period of study. During the study period, 101 case patients with a diagnosis of IAC were included in the study. On univariate analysis, severe hepatic failure, prior receipt of antibiotics, prior receipt of parenteral nutrition, abdominal drain, prior bacterial infection, anastomotic leakage, recurrent gastrointestinal perforation, prior receipt of antifungal drugs and higher median number of abdominal surgical interventions were associated with IAC development. On multivariate analysis, recurrent gastrointestinal perforation (OR 13.90; 95% CI 2.65–72.82, p = 0.002), anastomotic leakage (OR 6.61; 95% CI 1.98–21.99, p = 0.002), abdominal drain (OR 6.58; 95% CI 1.73–25.06, p = 0.006), prior receipt of antifungal drugs (OR 4.26; 95% CI 1.04–17.46, p = 0.04) or antibiotics (OR 3.78; 95% CI 1.32–10.52, p = 0.01) were independently associated with IAC. Gastrointestinal perforation, anastomotic leakage, abdominal drain and prior receipt of antifungals or antibiotics may help to identify critically ill patients with higher probability of developing IAC. Prospective studies are needed to identify which patients will benefit from early antifungal treatment.