ArticleCadernos de saude publica2023
[Spatial analysis of maternal morbidity and mortality in users of the Brazilian Unified National Health System in the city of Rio de Janeiro, Brazil, 2014-2016].
Article in Cadernos de saude publica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- Article
- [Assessment of birth registration coverage in the Hospital Information System of the Brazilian Unified National Health System, by hospital of admission, Brazil, 2012-2020].Cadernos de saude publica · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objective of this study is to analyze the maternal morbidity and mortality of women treated in hospitals of the Brazilian Unified National Health System (SUS) in the city of Rio de Janeiro in the period 2014-2016. An ecological study was conducted using data from the Brazilian Information System on Live Birth (SINASC), the Brazilian Mortality Information System (SIM), and the Brazilian Hospital Information System (SIH/SUS). For the analysis of the maternal mortality ratio (MMR), data from the SIM were used. For the analysis of maternal morbidity, World Health Organization criteria were used to estimate the ratios of maternal near miss and potentially life-threatening conditions. SINASC was used to retrieve data on the number of live births, for demographic characterization, social aspects, and access to prenatal care. To evaluate the spatial association between the indicators MMR, ratios of maternal near miss, and potentially life-threatening conditions and the demographic, social, obstetric, and access indicators, obtained from SINASC, the bivariate Moran Index was estimated with a significance level of 0.05, using the GeoDa program. In the period analyzed, the MMR in the Rio de Janeiro was 94.16/100,000 live births, the ratio of maternal near miss was 28.21/1,000 live births, and the potentially life-threatening conditions was 34.31/1,000 live births. Cases of potentially life-threatening conditions were used for the first time in this study and presented diagnoses and procedures during hospitalization more consistent with the maternal mortality profile in the city of Rio de Janeiro. There was a significant association between MMR and percentage of live births in SUS, potentially life-threatening conditions and percentage of live births in SUS, and potentially life-threatening conditions and being single.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.