Cited by 24Medical Coding and Health InformationGlobal Health and EpidemiologySurvey Methodology and Nonresponse

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Avaliação da qualidade do Sistema Brasileiro de Informações sobre Mortalidade (SIM): uma scoping review.

Open access
Rebouças, Poliana, Alves, Flavia Jôse, Ferreira, Andrêa, Marques, Lays, Guimarães, Nathalia Sernizon, Souza, Giesy Ribeiro de, Pinto, Priscila F. P. S., Teixeira, Camila, Ortelan, Naiá, Silva, Natanael, Rocha, Aline, Falcão, Ila, Pinto Junior, Elzo Pereira, Pescarini, Julia, Paixão, Enny S., Almeida, Marcia Furquim de, Silva, Rita de Cassia Ribeiro, Ichihara, Maria Yury Travassos, Barreto, Maurício L.·2025·Ciência & Saúde Coletiva

Abstract

The aim was to map evidence on the quality of records in the Mortality Information System (SIM) through a national scoping review of articles published up to April 2023 across five databases (PubMed, Embase, Scopus, LILACS, and SciELO). Studies focused on specific causes of death were excluded. Dimensions evaluated included accessibility, methodological clarity, coverage, completeness, reliability, consistency, non-duplication, timeliness, validity, and studies on ill-defined causes/garbage codes. Among the 33 included articles, a general improvement in SIM quality was observed, with a 68.5% reduction in garbage codes (2000-2015). However, regional inequalities in SIM persist, with coverage below 90% in Acre and Maranhão and poorer performance in the North and Northeast regions. A robust SIM is essential for public health strategies aimed at preventing avoidable deaths.

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Crossref · 10.1590/1413-81232025301.08462023

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Research works printed but not linked: 7

  1. 2009, Portaria SVS nº 116, de 11 de fevereiro de 2009
  2. Campbell SE CM, 2001, A systematic review of discharge coding accuracy, J Public Health Med, 23, 205, 10.1093/pubmed/23.3.205 · DOI
  3. Trindade J, 2018, Aplicação do Método Captura Recaptura aos dados de Estatísticas Vitais: estudo empírico
  4. Szwarcwald CL, 2002, Infant mortality estimation in Brazil what do Ministry of Health data on deaths and live births say?, Cad Saude Publica, 18, 1725
  5. Kanso S, 2011, Geographic, demographic, and socioeconomic differences in quality of data on cause of death in Brazilian elders, Cad Saude Publica, 27, 1323
  6. Teixeira RA, 2021, Mortalidade por causas garbage nos municípios brasileiros: diferenças nas estimativas de taxas pelos métodos direto e Bayesiano de 2015 a 2017, Rev Bras Epidemiol, 24
  7. Aqil A, 2009, Performance of Routine Information Systems Management (PRISM) Tools, Oxford University Press, 24, 217

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Metadata

Authors
Rebouças, P., Alves, F. J., Ferreira, A., Marques, L., Guimarães, N. S., Souza, G. R. D., Pinto, P. F. P. S., Teixeira, C., Ortelan, N., Silva, N., Rocha, A., Falcão, I., Pinto Junior, E. P., Pescarini, J., Paixão, E. S., Almeida, M. F. D., Silva, R. D. C. R., Ichihara, M. Y. T., & Barreto, M. L.
Affiliations
  • Fundação Oswaldo Cruz (BR)
  • Fundação Oswaldo Cruz, Brasil
  • Universidade de São Paulo (BR)
  • Universidade Federal de Minas Gerais, Brasil
  • Universidade Federal da Bahia (BR)
  • London School of Hygiene & Tropical Medicine, United Kingdom
  • London School of Hygiene & Tropical Medicine (GB)
  • Universidade de São Paulo, Brasil
Venue
Ciência & Saúde Coletiva
Published
2025-01
Volume
30
Issue
1
Pages
e08462023-e08462023
ISSN
  • 1413-8123 (ISSN-L)
  • 1678-4561
OpenAlex
W4406871493
Cited by
24
References
39
Citations by year
2026: 15 · 2025: 9
FWCI
3.07
Type
journal article
Language
pt
Open access
Locations
  • Ciência & Saúde Coletiva (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • LSHTM Research Online (London School of Hygiene and Tropical Medicine) (submittedVersion)
Topics
  • Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Global Health and Epidemiology
  • Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
Keywords
death records, garbage codes, ill-defined causes of death, avoidable mortality, disease surveillance
MeSH terms
Data Accuracy, Brazil, Cause of Death, Humans, Information Systems, Mortality, Public Health, Reproducibility of Results, Databases, Factual

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CoChat. (2026). Citation check: Avaliação da qualidade do Sistema Brasileiro de Informações sobre Mortalidade (SIM): uma scoping review. https://app.cochat.ai/papers/10.1590/1413-81232025301.08462023
The paper
Rebouças, P., Alves, F. J., Ferreira, A., Marques, L., Guimarães, N. S., Souza, G. R. D., Pinto, P. F. P. S., Teixeira, C., Ortelan, N., Silva, N., Rocha, A., Falcão, I., Pinto Junior, E. P., Pescarini, J., Paixão, E. S., Almeida, M. F. D., Silva, R. D. C. R., Ichihara, M. Y. T., & Barreto, M. L. (2025). Avaliação da qualidade do Sistema Brasileiro de Informações sobre Mortalidade (SIM): uma scoping review. Ciência & Saúde Coletiva. https://doi.org/10.1590/1413-81232025301.08462023