Qualidade dos sistemas de informação SINAN e SIH-SUS e a proporção de casos graves de dengue no município de Goiânia-GO, 2005-2008: estimativa pelo método de captura-recaptura

• Ano de defesa: 2009
• Autor(a) principal: Silva, Juliana Brasiel da
• Orientador(a): Siqueira Júnior, João Bosco
• Banca de defesa: Siqueira Júnior, João Bosco , Laval, Cristina Aparecida Borges Pereira, Maciel, Ivan José
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Goiás
• Programa de Pós-Graduação: Programa de Pós-graduação em Medicina Tropical e Saúde Publica (IPTSP)
• Departamento: Instituto de Patologia Tropical e Saúde Pública - IPTSP (RG)
• País: Brasil
• Palavras-chave em Português: Dengue; Vigilância epidemiológica; Sistema de informação; Captura-recaptura
• Palavras-chave em Inglês: Dengue; Surveillance; Information system; Capture-recapture
• Área do conhecimento CNPq: SAUDE COLETIVA::EPIDEMIOLOGIA
• Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/8453

The epidemiology of dengue fever in Brazil is recently characterized by an increase in hospitalizations, severe and unusual presentations of the disease and a shift towards children. This scenario demands improvements to the surveillance and to the health systems to timely detect and adequate management of these cases. The objectives of this study are to characterize the hospitalized cases of dengue fever and dengue hemorrhagic fever and to identify potential underreporting of these cases in the city of Goiânia, Central Brazil, between 2005 and 2008, based on two official information systems: SINAN and SIH/SUS. We conducted a capture-recapture study to estimate the number of hospitalized cases using a linkage between SINAN and SIH/SUS, after excluding duplicate records in each system. A 49.6% increase in hospitalized cases was estimated after the inclusion of SIH/SUS records that were not reported in SINAN. An underreporting of 70.4% of the information regarding hospitalization in SINAN was also detected, once these cases were reported but with no reference to hospitalization. Sensibility of the surveillance system to detect hospitalized cases was considered poor for the study period. The combined use of SINAN and SIH/SUS in the surveillance routine greatly contributes to increase the sensibility of the system and to the timely detection of cases and outbreak response.