Background: Healthcare-Associated Infections (HAIs) are a global public health issue, representing a significant burden of disease that leads to prolonged hospital stays, inappropriate use of antimicrobial drugs, intricately linked to the development of resistant microorganisms, and higher costs for healthcare systems. The study aimed to measure the prevalence of HAIs, the use of antimicrobials, and assess healthcare- and patient-related risk factors, to help identify key intervention points for effectively reducing the burden of HAIs. Methods: A total of 28 acute care hospitals in the Lombardy region, Northern Italy, participated in the third European Point Prevalence Survey (PPS-3) coordinated by ECDC for the surveillance of HAIs in acute care hospitals (Protocol 6.0). Results: HAIs were detected in 1,259 (10.1%, 95% CI 9.6–10.7%) out of 12,412 enrolled patients. 1,385 HAIs were reported (1.1 HAIs per patient on average). The most common types of HAIs were bloodstream infections (262 cases, 18.9%), urinary tract infections (237, 17.1%), SARS-CoV-2 infections (236, 17.0%), pneumonia and lower respiratory tract infections (231, 16.7%), and surgical site infections (152, 11.0%). Excluding SARS-CoV-2 infections, the overall prevalence of HAIs was 8.4% (95% CI 7.9–8.9%). HAIs were significantly more frequent in patients hospitalized in smaller hospitals and in intensive care units (ICUs), among males, advanced age, severe clinical condition and in patients using invasive medical devices. Overall, 5,225 patients (42.1%, 95% CI 41.3–43.0%) received systemic antimicrobial therapy. According to the WHO’s AWaRe classification, the Access group accounted for 32.7% of total antibiotic consumption, while Watch and Reserve classes accounted for 57.0% and 5.9% respectively. From a microbiological perspective, investigations were conducted on only 64% of the HAIs, showing, however, a significant pattern of antibiotic resistance. Conclusions: The PPS-3 in Lombardy, involving data collection on HAIs and antimicrobial use in acute care hospitals, highlights the crucial need for a structured framework serving both as a valuable benchmark for individual hospitals and as a foundation to effectively channel interventions to the most critical areas, prioritizing future regional health policies to reduce the burden of HAIs.

Medical residents constitute a vulnerable population susceptible to mental health disorders. In Italy, this was evident during the COVID-19 pandemic, when medical residents served on the front line and provided significant support to healthcare services. Therefore, the working group on “Public Mental Health” of the Medical Residents’ Council of the Italian Society of Hygiene, Preventive Medicine, and Public Health (S.It.I.) designed the “Residents’ mental health investigation, a dynamic longitudinal study in Italy” (ReMInDIt). This longitudinal study aims to assess the mental status of medical residents and to explore potential cause–effect relationships between risk/protective factors (identified among sociodemographic, residency program, and lifestyle characteristics) and mental health outcomes (anxiety and depressive symptoms). Data will be collected from a study population of 3615 residents enrolled in Italian residency programs in public health, occupational medicine, and forensic medicine through an online questionnaire that includes validated tools, requires 10 min for completion, and is disseminated by the residents’ Councils. It will be followed by a follow-up administration after 12 months. The ReMInDIt study will play a significant role in generating evidence crucial for enhancing mental health services and promoting protective factors for the mental well-being of this important segment of healthcare professionals.

Background/Objectives: Health Promotion Centres (HPCs) in Slovenia represent a European best practice for integrated prevention and health promotion. This study explores the feasibility of adapting the Slovenian HPC model to Bergamo Province, Lombardy, considering local population needs and health system characteristics. Methods: We conducted a qualitative feasibility and policy analysis based primarily on documentary review, complemented by a webinar, a study visit to Slovenia, and expert consultations (conducted in two group discussions) with professionals from ATS (Agenzia Tutela della Salute) Bergamo and local ASST (Azienda Socio-Sanitaria Territoriale) providers. Data were analysed using the PIET-T framework (Population–Intervention–Environment–Transfer). Results: Eight key elements define the Slovenian model: (1) governance and stewardship; (2) structural financing; (3) standardized service portfolio; (4) systematic preventive referrals; (5) integration with primary care and screening; (6) multidisciplinary teams with codified training; (7) community outreach and equity orientation; and (8) information systems and reporting. While Bergamo shares similar demographic and epidemiological profiles, differences in behavioral risk factors, project-based financing, fragmented initiatives, and limited digital integration necessitate adaptation. The comparative assessment highlighted key areas requiring contextual adaptation, including financing mechanisms, organisational coordination, workforce capacity, digital interoperability, and approaches to equity. Conclusions: The Slovenian HPC experience demonstrates the potential of integrated, community-based health promotion. Its adaptation to Lombardy appears feasible if core components are preserved and tailored to local governance, population, and health system conditions. These organisational features may be particularly relevant for time-dependent conditions, such as acute cardiovascular and cerebrovascular events, by potentially supporting more timely risk-factor management and coordination across diagnostic and emergency pathways. Rather than a blueprint for reform, this experience offers useful insights to reinforce prevention and health promotion within the ongoing territorial care reform in Lombardy.

Background and Objective: This study aims to evaluate the use of the Modified Early Obstetric Warning Score (MEOWS) in identifying obstetric patients at risk of infection or sepsis. The study assesses the correct application of the scale and its impact on clinical decision-making a year after...