Social information systems: impact on the mortality rate of a public health program

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dc.creatorJeferson Gonçalves de Oliveira
dc.creatorCristiana Fernandes de Muylder
dc.creatorFernando Hadad Zaidan
dc.creatorAna Maria Pereira Cardoso
dc.creatorJosé Nelio Januario
dc.date.accessioned2023-06-27T20:33:34Z
dc.date.accessioned2025-09-09T01:28:23Z
dc.date.available2023-06-27T20:33:34Z
dc.date.issued2021
dc.format.mimetypepdf
dc.identifier.issn16457641
dc.identifier.urihttps://hdl.handle.net/1843/55442
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofIADIS International Journal
dc.rightsAcesso Aberto
dc.subjectInformática em Saúde Pública
dc.subjectPrática de Saúde Pública
dc.subject.otherSocial Information Systems
dc.subject.otherComplexity Theory
dc.subject.otherPublic Health
dc.subject.otherSocial Innovation
dc.titleSocial information systems: impact on the mortality rate of a public health program
dc.typeArtigo de periódico
local.citation.epage70
local.citation.issue1
local.citation.spage54
local.citation.volume19
local.description.resumoMany recent studies have underscored the complexity of public health systems. At the same time, information systems are discussed from a strictly technological point of view to break away from a social context in which they are inseparable. Furthermore, the literature lacks research on the implementation of these systems in environments that target social innovation. To explore these relationships, this study seeks to answer the following question: What are the relationships/influences between the Social Information System, public health and social innovation? Thus, the purpose of this research is to develop an analysis model of the relationship between the studied constructs and apply it to the reality of the Neonatal Screening Program of the State of Minas Gerais (PTN-MG). To do so, the study was applied within the SUS, in the state of Minas Gerais, using the program's 15-year database. For testing the relationships between model constructs, statistical techniques of multivariate data analysis were employed. Key findings confirm that healthcare networks are configured as complex systems that require information systems with features that respect this concept. In addition, it is noted that the information system is a fundamental pillar in social innovation in health, as it has shown a significant relationship with the reduction of health problems and with the PTN-MG quality indicators. From this new tested model, others will emerge pointing to the scientific and social contribution of this research, organized in documents.
local.identifier.orcidhttps://orcid.org/0000-0002-0912-3782
local.publisher.countryBrasil
local.publisher.departmentMED - DEPARTAMENTO DE CLÍNICA MÉDICA
local.publisher.initialsUFMG
local.url.externahttps://www.iadisportal.org/ijwi/papers/202119104.pdf

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