Evidence map›Paper›PMID 39936754›Full record

ArticleCadernos de saude publica2025

[Assessment of birth registration coverage in the Hospital Information System of the Brazilian Unified National Health System, by hospital of admission, Brazil, 2012-2020].

Juliana Alves Marques, Rosa Maria Soares Madeira Domingues, Marcos Augusto Bastos Dias, Claudia Medina Coeli, Valéria Saraceni, Rejane Sobrino Pinheiro

Abstract readEnglish Abstract
In one paragraph

Article in Cadernos de saude publica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Juliana Alves MarquesPrograma de Pós-graduação em Gestão Urbana, Pontifícia Universidade Católica do Paraná, Londrina, Brasil.ORCID 0009-0006-4213-4404
Rosa Maria Soares Madeira DominguesInstituto Nacional de Infectologia Evandro Chagas, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.ORCID 0000-0001-5722-8127
Marcos Augusto Bastos DiasInstituto Nacional de Saúde da Mulher, da Criança e do Adolescente Fernandes Figueira, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.ORCID 0000-0003-1386-7001
Claudia Medina CoeliInstituto de Estudos em Saúde Coletiva, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brasil.ORCID 0000-0003-1757-3940
Valéria SaraceniSecretaria Municipal de Saúde do Rio de Janeiro, Rio de Janeiro, Brasil.ORCID 0000-0001-7360-6490
Rejane Sobrino PinheiroInstituto de Estudos em Saúde Coletiva, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brasil.ORCID 0000-0002-3361-3626

Funding

Department of Science and Technology, Ministry of Health/National Council for Scientific and Technological Development 445116/2020-0Gates Foundation INV-027961
6 · The paper itself

Abstract

This study aimed to evaluate the national coverage of birth registration within the Brazilian Hospital Information System of the Brazilian Unified National Health System (SIH/SUS), according to the hospital of birth, and identify associated institutional characteristics. A descriptive ecological study was conducted using available data from the SIH/SUS, the Brazilian Information System on Live Births (SINASC), and the Brazilian National Registry of Health Establishments (CNES) from 2012 to 2020. Hospital admissions of women aged 10 to 49 for vaginal childbirth or cesarean section in the SIH/SUS were compared to live birth records from hospital deliveries in SUS-contracted establishments with more than 100 live births per year in SINASC. Coverage was measured by the proportion of admissions for childbirth (SIH/SUS) in relation to the total number of live births in SINASC. Supervised classification models, decision trees, and random forests were used to identify hospital characteristics predictive of coverage. Coverage in the SIH/SUS was estimated at 86.9%, and 80.6% after excluding hospitals with > 100% coverage. Higher coverage rates were observed in the North and Northeast regions, whereas lower rates were seen in the South and Central-West regions. National coverage increased from 77.9% to 82.3% during the period. The main predictive factors were the proportion of cesarean sections, the number of obstetric beds of SUS, the administrative sphere, and facility size, with lower coverage in services with a higher proportion of cesarean sections. Inconsistencies in CNES registration were identified in SINASC. Birth registration coverage in the SIH/SUS is high across the country, though lower in hospitals with a high proportion of cesarean sections. Strategies for continuous improvement of quality for information system records are necessary.

Indexed as

Birth CertificatesDelivery, ObstetricHospital Information SystemsHospitalizationNational Health ProgramsRegistriesAdolescentAdultBrazilCesarean SectionChildFemaleHumansLive BirthMiddle AgedPregnancy

Identifiers

PMID39936754
PMCPMC11805513

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Registered trials

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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.