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Validation study of obstetric hospitalization data held on the Brazilian National Health System Hospital Information System for maternal morbidity surveillance: Brazil, 2021-2022.
Domingues, Rosa Maria Soares Madeira; Meijinhos, Lana Dos Santos; Guillen, Luis Carlos Torres; Dias, Marcos Augusto Bastos; Saraceni, Valéria; Pinheiro, Rejane Sobrinho; Paiva, Natália Santana; Coeli, Cláudia Medina.
Afiliación
  • Domingues RMSM; Fundação Oswaldo Cruz, Laboratório de Pesquisa Clínica em DST/Aids, Rio de Janeiro, RJ, Brazil.
  • Meijinhos LDS; Universidade Federal do Rio de Janeiro, Instituto de Estudos em Saúde Coletiva, Rio de Janeiro, RJ, Brazil.
  • Guillen LCT; Universidade Federal do Rio de Janeiro, Instituto de Estudos em Saúde Coletiva, Rio de Janeiro, RJ, Brazil.
  • Dias MAB; Fundação Oswaldo Cruz, Instituto Nacional de Saúde da Mulher, da Criança e do Adolescente "Fernandes Figueira", Rio de Janeiro, RJ, Brazil.
  • Saraceni V; Secretaria Municipal de Saúde do Rio de Janeiro, Superintendência de Vigilância em Saúde, Rio de Janeiro, RJ, Brazil.
  • Pinheiro RS; Universidade Federal do Rio de Janeiro, Instituto de Estudos em Saúde Coletiva, Rio de Janeiro, RJ, Brazil.
  • Paiva NS; Universidade Federal do Rio de Janeiro, Instituto de Estudos em Saúde Coletiva, Rio de Janeiro, RJ, Brazil.
  • Coeli CM; Universidade Federal do Rio de Janeiro, Instituto de Estudos em Saúde Coletiva, Rio de Janeiro, RJ, Brazil.
Epidemiol Serv Saude ; 33: e20231252, 2024.
Article en En, Pt | MEDLINE | ID: mdl-39082584
ABSTRACT

OBJECTIVE:

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

METHODS:

This 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.

RESULTS:

Hospitalizations 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".

CONCLUSION:

Better recording of diagnoses and procedures on SIH/SUS is essential for its use in maternal morbidity surveillance.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Complicaciones del Embarazo / Sistemas de Información en Hospital / Hospitalización Límite: Female / Humans / Pregnancy País/Región como asunto: America do sul / Brasil Idioma: En / Pt Revista: Epidemiol Serv Saude Año: 2024 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Brasil
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Complicaciones del Embarazo / Sistemas de Información en Hospital / Hospitalización Límite: Female / Humans / Pregnancy País/Región como asunto: America do sul / Brasil Idioma: En / Pt Revista: Epidemiol Serv Saude Año: 2024 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Brasil