Our study concludes that both Cases and DDD of dispensed respiratory drugs could be useful for epidemiological surveillance of air pollutant health effects. Further investigation may routinely allow health and economics considerations, producing a stimulating new tool for health policy makers.

Although many epidemiological studies defining child sexual abuse prevalence rates in many countries of the world are now available, Italy presents a lack of data regarding this specific issue. Only recently some attempts to define the epidemiology of this public health problem have been tried. Between 2003 and 2010, the Department of Public Health at University of Milan was in charge of one of the more important study of this kind in Italy, involving almost 3000 students aged 18 attending secondary schools in the City of Milan who filled out an anonymous questionnaire aiming at detecting their previous experiences of sexual victimization during childhood and adolescence. After this first edition, the study was replicated among students attending secondary schools in the city of Varese, in the area of Piedmont and in Basilicata (area of Lauria), using the same investigational model and questionnaire. This paper presents the main data collected through four different epidemiological studies using the same methodology and survey tool. Considering at least one of the five different forms of child sexual abuse surveyed (being exposed to pornography, being touched on private parts, being forced to masturbate an older person, being forced to perform oral sex, or being penetrated), the prevalence rate among our samples ranges between a minimum of 12.5% (Varese) and a maximum of 34.1% (Lauria). In Lauria the research reveals a higher prevalence rate of child sexual abuse, especially among the male population, for all typologies of abuse but being touched in their private parts. In all other geographical areas and for all typologies of abuse, there is always a higher prevalence among girls, with the only exception of abuse such as being exposed to pornographic materials.

Issue The health and social-care facilities (HSF) of the Lombardy Region provide services specifically conceived for fragile populations, including elderly, disabled, addicts etc. Through its Accreditation Units, the Agency for Health Protection (ATS) in the Metropolitan City of Milan is responsible for overseeing authorization and accreditation indicators of HSFs in all afferent districts. Assessed requirements include the qualitative standard (presence of mandatory professional figures) and the quantitative standard (guaranteed weekly minimum time of care per patient) of operating staff, based on current legislation. Description of the problem These standards are evaluated at site-inspection by examining staff qualifications and by matching staff working hours to actual daily presence of patients, randomly selecting a recent past week. The resulting standards may thus not be fully representative of the whole year. In 2019, the Health and Social-care facilities Accreditation Unit of ATS began a retrospective quali-quantitative analysis of health service staffing data for 2017 and 2018. Data were extrapolated from two main databases: “Scheda Struttura”, a data collection tool regarding work hours, qualifications, waiting lists etc. compiled yearly by HSF managers; and economic data detailing reimbursements by the regional health service, based on effective daily presence of patients at the HSF. Results Preliminary results relating to 2017 showed that around 4% of HSFs do not guarantee qualitative staffing standards, and almost 30% do not guarantee quantitative staffing standards throughout the year. Lessons The proposed tool is useful for emphasizing potentially critical situations and may help define the annual inspection schedule with the aim of continuously improving quality of care among regional HSFs. Key messages Data management tools can help local health authorities monitor and identify facilities at risk of falling below the defined standards of care. Qualitative and quantitative analysis of health service staffing is useful for emphasizing potentially critical situations and may help define the annual inspection schedule.