SVI - Social vulnerability index
Period
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Funding body
Santa Casa da Misericórdia de Lisboa
Summary
CoLABOR built the Social Vulnerability Index (SVI) for the Santa Casa da Misericórdia de Lisboa (SCML), with the aim of improving knowledge about the population it supports and improving the distribution of monitoring and social intervention work among the different teams and technicians. As this is an institution that provides social responses in various areas of intervention and to populations that often present vulnerabilities in different spheres of life (e.g. health, housing, employment, income), with multiple interdependencies between them, the IVS would have to be able to capture the vulnerability of each user in a systematic and integrated way.
The architecture of the SVI thus combines several thematic Vulnerability Indices - IV Economic, IV Health, IV Housing and IV Violence and Neglect - which are linked to different issues or events (e.g. risk of poverty, mental health problems, homelessness, victimization by abuse). These thematic Vulnerability Indices then converge into a synthetic measure of overall vulnerability - the synthetic SVI, which aggregates the results of each of the thematic IVs.
The instrument developed measures, on the one hand, the absolute vulnerability of each individual in the various dimensions, taking into account all the information available through the institution's (anonymized) administrative data and, on the other hand, integrates a predictive (probabilistic) component of possible future vulnerabilities, which results from the inferential analysis of individual and family characteristics in relation to the patterns identified in the universe of users.
Its versatility makes it possible to assess the vulnerability of people/families/territories in various dimensions (economy, health, housing and violence), with both an analytical and prospective approach, which makes it possible to use it as a tool for diagnosis, management, monitoring and quasi-experimental evaluation of interventions, both in terms of the problems and their multiple causal factors.
Partner institutions:
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CoLABOR team
Bárbara Ferreira (coordination)
SóniaCosta (co-coordination)
Luís Manso
Frederico Cantante
TâniaAlmeida
TiagoTeixeira
Clara Oliveira
Results
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