Background/Objectives: Violence against workers (physical, verbal, or psychological abuse), even if it affects all professional categories, is up to ten times higher in healthcare workers. A University Hospital of Central Italy has gradually implemented a series of preventive measures, which might have impacted the trend of the phenomenon. Methods: In order to monitor the episodes, an aggressive event reporting form was adopted throughout the hospital. Data extracted both from this form and the root cause analysis documentation regarding the period January 2019–December 2023 were used. Descriptive statistical analysis was performed using the Chi-squares test, while the join point regression program was used to analyze the trends. Results: The average age of the sample is 43.5 years, with twice as many female workers as male workers. Nurses are more frequently involved (76.6%), and 58% of the events involved 2 to 4 HWs. Verbal violence was reported by 51.2% of HWs, and over 35% of them did not suffer any damage, while 25% suffered mild to moderate damage (illness, injury, or material harm, whether physical or psychological). The hospital divisions which are primarily concerned are the Psychiatry department (36.2%) and the Emergency Room (33.4%). There is no difference in hospital management of aggressive events between males and females. Join point regression analyses showed that there was a significant increase in the reporting of episodes of aggression. Conclusions: The presence of a strong culture of reporting among HWs guarantees a seemingly constant increase in the reporting of nonphysical forms of violence. The statistically significant differences found will allow hospital management to categorize the risk levels and act accordingly.

Introduction: Humanitarian Corridors are part of Protected Entry Procedures (PEPs), which allow for the safe and legal arrival in Europe of refugees in need of protection (art. 25 of Regulation (CE) n.810/2009) and were implemented for the first time in Italy in 2015. They represent an alternative to dangerous journeys, and they also bring benefits to local communities. The National Institute for Health, Migration and Poverty (NIHMP) represents the first filter at entry with regard to health needs, as it guarantees an overall individual health assessment to verify the possible presence of ongoing infectious pathologies and of issues that may require management and medical investigation. The aim of this study is to expose the organizational activity and analyze the sociodemographic and health data relating to the Humanitarian Corridors implemented in Italy and in which the NIHMP has participated from 2018 to 2024. Materials and Methods: The organizational lists and health data of each corridor were collected. The analysis was carried out in relation to trend, sociodemographic characteristics of the sample, identification, reception and health. The p-value was considered statistically significant if less than 0.01. In all cases in which the p-value was found to be statistically significant, Cramer’s V was calculated to evaluate the strength of the individual correlation. Results: The NIHMP has participated in 14 Humanitarian Corridors, allowing 1250 refugees to enter Italy; a total of 174 unaccompanied foreign minors (UFMs) arrived, and there were 451 refugees reported as vulnerable (36.1%). Contagious infectious conditions were identified in 223 refugees (17.8%), and other health findings were identified in 414 refugees (33.1%). In the analysis by sex, there are statistically significant differences in the reports of vulnerability and in nationality and education. The inferential analysis carried out by age groups presents statistically significant differences in the reports of vulnerability and in sex and nationality. The analysis relating to the differences by nationality shows statistically significant results in the individual corridors in the reports of vulnerability and in schooling, skin manifestations and infectious diseases and the presence of other health findings. Conclusions: The data reported and analyzed in this work can be considered the first attempt at a complete and detailed analysis regarding the actual implementation and effectiveness of Humanitarian Corridors as programs for legal and safe entry into Italy. The significant gap in research is the reason why there are characteristics of our sample that have no counterpart in the literature. Despite this, for other characteristics, it is possible to find statistical significance and scientific value in line with the data reported both on the websites dedicated to the topic and on the limited scientific literature on the subject.

Introduction: Humanitarian corridors were first established in Italy in 2015 as part of the Protected Entry Procedures (PEPs). These corridors provide a safe and legal route to Europe for migrants in need of protection, offering an alternative to perilous and illegal routes. As the first filter at entry with regard to health needs, the National Institute for Health, Migration and Poverty (NIHMP) ensures an overall individual health assessment, the primary aim of which is to identify potential infectious diseases and disorders that may require management and medical inquiry. This study aims to analyze the health data related to the humanitarian corridors that Italy has implemented and in which the NIHMP has taken part between 2018 and 2024. Materials and Methods: Health information and organizational records were gathered for every corridor. The analysis focused on health outcomes and on the sample’s sociodemographic characteristics. If the p-value was less than 0.01 it was considered statistically significant. Cramer’s V was calculated to assess the strength of each statistically significant result. Results: A total of 1250 refugees have been able to enter Italy thanks to the 14 NIHMP-verified humanitarian corridors. In the majority of the corridors, infectious conditions are present in less than 15% of the total number of refugees, and in only one corridor are they higher than 50%. There are statistically significant differences in nationality in the inferential analysis based on all health findings and in corridor and nationality according to the inferential analysis conducted for infectious conditions. The analysis relating to the differences by other health findings show statistically significant results in corridor, number of reports of vulnerability, and nationality. Lastly, considering the analysis done for all refugees < 18 years of age, there were statistically significant results in the number of reports of vulnerability, gender, and nationality, but there were not for any kind of health data. Conclusions: This study is one of the first attempts at reporting and analyzing vulnerable flags and health data concerning refugees who arrived through NIHMP-verified humanitarian corridors. Certain characteristics of our sample have few or no counterparts in the literature due to the limited availability of scientific literature on the subject. Despite this, our findings have statistical significance and scientific value, highlighting the need for further research on this subject.