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Informe Epidemiológico do Sus

Print version ISSN 0104-1673

Abstract

SILVA JUNIOR, Jarbas Barbosa da et al. Hospital information system: complementary source for surveillance and monitoring of person-to-person transmitted diseases. Inf. Epidemiol. Sus [online]. 2000, vol.9, n.2, pp.137-162. ISSN 0104-1673.  http://dx.doi.org/10.5123/S0104-16732000000200006.

Notifiable Diseases characterized by person-to-person transmission such as: Aids, meningitis (meningococcal, tuberculous), pulmonary tuberculosis, leprosy, congenital syphilis and hepatitis (A and B), were analyzed. Data from the Hospital Information System - SIH/SUS (admittances) and National Center of Epidemiology-CENEPI (case reports), were used as sources of information and were analyzed by regions and states. Coherence was observed between the data of CENEPI and SIH for AIDS, however, over-admittances were detected, probably due to re-admittances rather than underreporting. Congenital syphilis presented a ratio of admittances greater than one in the analyzed period, changing in 1997. Data for pulmonary tuberculosis and leprosy were analyzed in more detail, by determining the total number of admittances of chronical patients. Their exclusion, defined new cases. It was detached the weight of the practices of hospital for chronic patients in the country. For meningitis, different results were obtained, according to the etiology: Similar patterns for admittances and reporting were observed for meningococcal meningitis while discordant results were detected for tuberculous meningitis, wich showed inferior number of admittances compared to cases reports, suggesting imprecision of the generated information. Difficulties for the analysis of hepatitis using data from SIH/SUS were identified. SIH/SUS has potenciality as a complementary source for surveillance and monitoring of notifiable person-to-person transmitted diseases, particularly if the proposed suggestions pointed out in the study are considered.

Keywords : Notifiable Diseases; Hospital Information System; Epidemiologic Surveillance; Health Information System.

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