Evidence map›Paper›PMID 39082584›Full record

ArticleEpidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil2024

Validation study of obstetric hospitalization data held on the Brazilian National Health System Hospital Information System for maternal morbidity surveillance: Brazil, 2021-2022.

Rosa Maria Soares Madeira Domingues, Lana Dos Santos Meijinhos, Luis Carlos Torres Guillen, Marcos Augusto Bastos Dias, Valéria Saraceni, Rejane Sobrinho Pinheiro, Natália Santana Paiva, Cláudia Medina Coeli

Abstract readValidation Study
In one paragraph

Article in Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

8 authors.

Rosa Maria Soares Madeira DominguesFundação Oswaldo Cruz, Laboratório de Pesquisa Clínica em DST/Aids, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0001-5722-8127
Lana Dos Santos MeijinhosUniversidade Federal do Rio de Janeiro, Instituto de Estudos em Saúde Coletiva, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0002-0223-0438
Luis Carlos Torres GuillenUniversidade Federal do Rio de Janeiro, Instituto de Estudos em Saúde Coletiva, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0001-5246-733X
Marcos Augusto Bastos DiasFundação Oswaldo Cruz, Instituto Nacional de Saúde da Mulher, da Criança e do Adolescente "Fernandes Figueira", Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0003-1386-7001
Valéria SaraceniSecretaria Municipal de Saúde do Rio de Janeiro, Superintendência de Vigilância em Saúde, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0001-7360-6490
Rejane Sobrinho PinheiroUniversidade Federal do Rio de Janeiro, Instituto de Estudos em Saúde Coletiva, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0002-3361-3626
Natália Santana PaivaUniversidade Federal do Rio de Janeiro, Instituto de Estudos em Saúde Coletiva, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0003-0541-4686
Cláudia Medina CoeliUniversidade Federal do Rio de Janeiro, Instituto de Estudos em Saúde Coletiva, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0003-1757-3940

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo validate the Brazilian National Health System Hospital Information System (SIH/SUS) for maternal morbidity surveillance.

methodsThis was a cross-sectional study conducted in 2021/2022, taking as its reference a national study on maternal morbidity (MMG) conducted in 50 public and 28 private hospitals; we compared SIH/SUS and MMG data for hospitalization frequency, reason and type of discharge and calculated sensitivity, specificity, positive and negative likelihood ratios for seven diagnoses and four procedures.

resultsHospitalizations identified on SIH/SUS (32,212) corresponded to 95.1% of hospitalizations assessed by MMG (33,867), with lower recording on SIH/SUS (85.5%) for private hospitals [10,036 (SIH/SUS)]; 11,742 (MMG)]; compared to MMG, SIH/SUS had a lower proportion of hospitalizations due to "complications during pregnancy" (9.7% versus 16.5%) as well as under-recording of all diagnoses and procedures assessed, except "ectopic pregnancy".

conclusionBetter recording of diagnoses and procedures on SIH/SUS is essential for its use in maternal morbidity surveillance.

Indexed as

Hospital Information SystemsHospitalizationPregnancy ComplicationsBrazilCross-Sectional StudiesFemaleHospitals, PrivateHospitals, PublicHumansMorbidityNational Health ProgramsPopulation SurveillancePregnancySensitivity and Specificity

Identifiers

PMID39082584
PMCPMC11295267

What OpenQuestion holds

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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.