Ranzani OT, Marinho MDF, Bierrenbach AL. Usefulness of the Hospital Information System for maternal mortality surveillance in Brazil.
Rev Bras Epidemiol 2023;
26:e230007. [PMID:
36629619 PMCID:
PMC9838231 DOI:
10.1590/1980-549720230007.2]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 09/30/2022] [Indexed: 01/12/2023] Open
Abstract
OBJECTIVE
To evaluate the capability of hospital records in the Hospital Information System (SIH) to add valuable and complementary information to the Mortality Information System (SIM) in studies on maternal mortality. We calculated and compared the maternal mortality ratio from the SIH and SIM databases, by age group and region, to highlight differences between groups and assess the coverage of maternal deaths using SIH compared with SIM.
METHODS
Obstetric hospitalizations were defined based on three sources (codes ICD-10 in diagnoses; procedures; billing information). Hospital and SIM mortality ratios were calculated by dividing maternal deaths in hospitals affiliated to the Unified Brazilian Health System (SUS) per live births (SINASC) in the same hospitals.
RESULTS
In 2019, we identified 2,497,957 obstetric admissions, 0.04% (946) with in-hospital mortality as outcome. The presence of three criteria identified 98% of obstetric hospitalizations and 83% of obstetric hospitalizations with death as outcome. The comparison of mortality ratios between SIH (45.5 MMR; 95%CI 42.7 - 48.5) and SIM (49.7 MMR; 95%CI 46.7 - 52.8) was not statistically significant (p-value: 0.053).
CONCLUSION
The analysis of SIH was able to provide additional information for the monitoring and surveillance of maternal health in Brazil. Although there are differences between the mortality rates, the SIH, as a complementary information system to the SIM, may be valid in studies on maternal mortality and morbidity.
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