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The COVID-19 pandemic called for a reorganisation of the methods for providing health services. The aim of this paper is to describe the organisational model implemented by one of Rome’s Local Health Units (LHU), ASL Roma 1, for the “at-home COVID-19 vaccination campaign” dedicated to a target population and to outline data related to vaccination coverage stratified by health districts. A cross-sectional study was designed to describe the strategies implemented by LHU to deliver at-home vaccination programmes. People eligible for the at-home vaccination programme included patients living in the area of the LHU, being assisted by the district home care centre or not transportable or individuals with social situations that make traveling difficult. Priority for vaccination was given to (I) age &gt, 80 years, (II) ventilated patients with no age limit, (III) very seriously disabled people with no age limit. Patients’ data were acquired from regional and LHU databases. From 5 February until the 16 May, 6127 people got at least one dose of Pfizer-Biontech Comirnaty® vaccine, while 5278 (86.14%) completed the necessary two doses. The highest number of vaccines was administered during the first week of April, reaching 1296 doses overall. The number of vaccines administered were similar across the districts. The average number of people vaccinated at home was 6 per 1000 inhabitants in the LHU. This model proved to be extremely complex but effective, reaching satisfying results in terms of vaccination coverage.

BACKGROUND: Students' ability of learning is influenced by study habits. Among these, the use of technologies has assumed a controversial role. The aim of this paper is to analyse studying approach, the use of technologies and how they affect study habits in a population of university students addressed by the "Sportello Salute Giovani" ("Youth Health Information Desk") questionnaire. METHODS: 16 questions referred to the approach to studying and the use of technologies (number 77-93) were analyzed. Absolute and relative frequencies were calculated. Stratification for sex, age and socio-economic status were performed and Chi square test was used to test the difference between sex, age class and socio-economic groups. RESULTS: 99.7% of students declared to have at least one mobile phone and 68.7% to use smartphones, i-phones and i-pads. Males (20.9% vs 14.9% female, p < 0.05), older students (31.7% among 25-30 years old students vs 21.3% among 18-21 years old, p < 0.05) and students with the highest socio-economic level (87.8% vs 54.2% of the lowest) seem more likely to use digital technologies/Internet for educational purposes. CONCLUSION: Our survey revealed that most college students still prefer approach the study using books instead of digital tools, but this attitude is conflicting with how many hours they use computers and surf Internet per weeks. Therefore, further studies are needed to understand better technology influence on study habits and its implication on health.

The demographic and epidemiological transitions resulted in a pressing need to reformulate the health workforce demand and to revise pre-and post-graduate training to prepare the medical profiles to meet the new health needs focused on chronic diseases. The Italian Junior Doctors Association and the Giotto Movement carried out a web survey to identify the motivational aspects and the level of satisfaction of Italian junior doctors regarding knowledge and skills acquired after attending the General Practitioners’ specific training (GP-ST). Three-hundred-forty-seven General Practitioners (GPs), 302 trainees and 45 newly qualified trainees answered a web questionnaire. Significant differences (p-value= 0.018) were documented between the two groups regarding the level of satisfaction on the GP-ST. The analysis by geographic macro-areas of the answers given by the 302 trainees showed a heterogeneous level of overall satisfaction (p-value= 0.005). In conclusion, the evidence provided by this cross-sectional study support the proposal to evolve the GP-ST regional courses into general practice and primary care specialization schools.

Clinical governance (CG) is an approach to quality improvement in healthcare aimed at achieving a patient-centered health care system. The main objective of this study was to highlight human centered healthcare latent factors underlying the results of a CG assessment performed in the teaching hospital "A. Gemelli" of Rome, Italy.CG implementation levels were assessed through OPTIGOV© (OPTimizing healthcare GOVernance), a CG scorecard methodology. In order to identify the variables generating latent factors that can influence the governance of the Hospital, the multiple correspondence analysis (MCA) was applied.The application of OPTIGOV© showed a good CG implementation level in the Gemelli Hospital. By applying MCA, the variables aggregated so as to define 3 latent factors (F1: assessment for people oriented improvement strategy; F2: assessment for people targeted management; F3: tracking for timely accountable people) explaining as a whole 82.68% of the total variance and respectively 48.09% (F1), 24.95% (F2) and 9.64% (F3).The heuristic interpretation of the three latent factors could bring back to the concept of humanization in healthcare. This study shows that in the teaching hospital "A. Gemelli" humanization in healthcare is the driver of health care quality improvement.

Background Clinical Governance provides a framework for assessing and improving clinical quality through a single coherent program. Organizational appropriateness is aimed at achieving the best health outcomes and the most appropriate use of resources. The goal of the present study is to verify the likely relationship between Clinical Governance and appropriateness of hospital stay. Methods A cross-sectional study was conducted in 2012 in an Italian Teaching Hospital. The OPTIGOV© (Optimizing Health Care Governance) methodology was used to quantify the level of implementation of Clinical Governance globally and in its main dimensions. Organizational appropriateness was measured retrospectively using the Italian version of the Appropriateness Evaluation Protocol to analyze a random sample of medical records for each clinical unit. Pearson-correlation and multiple linear regression were used to test the relationship between the percentage of inappropriate days of hospital stay and the Clinical Governance implementation levels. Results 47 Units were assessed. The percentage of inappropriate days of hospital stay showed an inverse correlation with almost all the main Clinical Governance dimensions. Adjusted multiple regression analysis resulted in a significant association between the percentage of inappropriate days and the overall Clinical Governance score (β = −0.28; p