Objectives: to describe prevalence of disability in the population of the Agency for Health Protection of Milan (ATS Milan), integrating current administrative healthcare, socio-healthcare, and social data; to classify disability with a diagnosis into a predominant structural and functional category according to the International Classification of Functioning, Disability and Health (ICF), supplementing it with additional levels of detail.
Design: retrospective observational study.
Setting and participants: subjects residing in the territory of ATS Milan in the years from 2018 to 2022. Main outcomes measures: prevalence of disability in the population of ATS Milan from 2018 to 2022; average annual costs since disability diagnosis of the entire population and stratified by the most common ICF classifications.
Results: the prevalence of disability ranges from 5.8% in 2018 to 8.4% in 2022. In general, women have a higher prevalence than men. However, there are significant differences in the gender distribution depending on the considered age group. The main disabilities (32.2%) affect the structures of the nervous system and mental functions, followed by disabilities identified solely by major prosthetic devices (9.4%) and sensory disabilities with alterations in sensory functions with the presence of a major device (5.2%). Analysis of average total annual per capita costs shows an upward trend with increasing years since the diagnosis.
Conclusions: the definition of standardized tools, such as the selection from several available healthcare data provided by service suppliers, can be helpful in obtaining reliable data on the prevalence of disability in the population. This evidence can be useful in planning public health interventions to address the needs of this population. The work developed by ATS Milan has been carried out in alignment with the activities outlined in Mission 5 of the National Recovery and Resilience Plan (PNRR), in particular for the reform of disability legislation, which foresees the definition of standardized tools for the in-depth study of the epidemiological aspects of the phenomenon.
Keywords: Milan; disability; public health; administrative healthcare data.