| Resumo: | This article aims to identify factors associated with social exclusion among users of social inclusion programs according to four levels of severity. To this end, the SiSo tool was used to assess situations of social hardship on the inclusion/exclusion spectrum. This tool has been used since 2017 to evaluate and study cases in first level or primary care social services in the region of Castilla-La Mancha, Spain. At the time of writing, a total of 18,968 family units have been assessed. Bivariate analyses were performed to identify the main characteristics of users in six dimensions or life domains. The results show that principal component analysis is suitable for identifying the variables in the respective domains. Finally, a multinomial analysis was performed to determine the importance of the variables according to levels of hardship. The findings can be useful for segmenting family units and defining social services interventions by level of hardship, as well as for conducting joint interventions with other social protection systems.
|
|---|
