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Updated: Jul 16, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
[Declared maternal death and the linkage between health information systems]
Maria Helena de Sousa1, José Guilherme Cecatti, Ellen Elizabeth Hardy
1Departamento de Tocoginecologia, Faculdade de Ciências Médicas, Universidade Estadual de Campinas, Rua Alexander Fleming 101, 13083-881 Campinas, SP, Brasil.
Linking maternal death records from Brazil's Mortality Information System with other vital and hospital data revealed low record correlation. This highlights potential data gaps and challenges in accurately tracking maternal mortality.
Area of Science:
- Public Health
- Epidemiology
- Health Information Systems
Context:
- Maternal mortality surveillance in Brazil relies on multiple data sources.
- Accurate data linkage is crucial for understanding maternal death characteristics.
- The study examines data from the Mortality Information System, Live Birth Information System, and Hospital Information System in 2002.
Purpose:
- To describe maternal mortality characteristics using the Mortality Information System.
- To assess the linkage success between the Mortality Information System and other vital/hospital data systems.
- To identify common diagnoses and procedures associated with maternal deaths.
Summary:
- A descriptive study in Brazil linked maternal death records, finding low correlation percentages (46.5% with live birth data, 55.2% with hospital data).
- Infection was the most frequent admission diagnosis, and intensive care unit admission was the most frequent procedure.
- The study calculated official and adjusted maternal mortality ratios at 46.4 and 64.9 deaths per 100,000 live births, respectively.
Impact:
- Highlights significant challenges in data integration for maternal mortality surveillance.
- Suggests potential underestimation of maternal mortality due to data linkage failures.
- Informs strategies for improving the completeness and accuracy of vital statistics systems.
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