Morte neonatal: incompletude das estatísticas vitais

Barreto, Isabela Correa; Vieira, Marcela Gravelle; Teixeira, Gabrielle Pires; Fonseca, Sandra Costa

doi:10.21722/rbps.v19i2.18863

Cited by 2 publications

(8 citation statements)

References 12 publications

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“…7 This score continued to be one of the most used in completeness studies published between 2013 and 2017. 7,9,[13][14][15][16][17]19 Adaptations were made at the cutoff points of the 'good' and 'regular' categories of classification, to avoid overlapping of incompleteness values (good, 5% <10% and regular, 10% <20%).…”

Section: Methodsmentioning

confidence: 99%

“…20,21 Although SINASC and SIM coverage in the state of Rio de Janeiro is high, being close to 100%; 20,21 scientific production on the quality of vital statistics held on them has been scarce in the last 20 years. 16 The objective of this study was to analyze the incompleteness of SINASC and SIM variables in the state of Rio de Janeiro for the 1999-2014 time series.…”

Section: Renata Rodrigues Garcia Lino Et Almentioning

confidence: 99%

“…4 Number of stillborn children was the variable with the highest percentage of incompleteness according to our study and also according to other studies. 14,16,18 In the state of Rio de Janeiro, the rate of this variable remained high in 2014 (15.3%), whereas in Recife in Neonatal vital statistics incompleteness the period 2010-2012 it was only 4.3%, demonstrating potential for improved completeness. 14 The falling trend of incompleteness, together with improvement in the quality of data found on SIM, is probably related to the work of the Infant Death Prevention Committees, given the difference found regarding investigated infant deaths in almost all variables; this fact was also reported in Ribeirão Preto and Pernambuco for infant deaths.…”

Section: Neonatal Vital Statistics Incompletenessmentioning

confidence: 99%

“…As SIM incompleteness percentages were higher than those of SINASC for all variables, this corroborates the superior quality of live birth data. [12][13][14]16,19 The procedure for linking the databases of both systems should be encouraged in order to enhance studies on infant mortality in Brazil. Doing this, whenever possible, will result in SINASC data completing or correcting SIM data.…”

Section: Neonatal Vital Statistics Incompletenessmentioning

confidence: 99%

“…11 With regard to the SIM system, variable completeness quality is lower than that of SINASC, in particular completeness of sociodemographic variables. 3,[12][13][14][16][17][18][19] There is a high proportion of data incompleteness on SIM, above all for the following variables: 'race/ skin color', maternal 'schooling', 'liveborn children' and 'stillborn children', maternal 'age' and 'length of pregnancy'. Even birth weight, which is a relevant indicator for women's and children's health, has a regular percentage of incomplete data.…”

Section: Introductionmentioning

confidence: 99%

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Tendência da incompletude das estatísticas vitais no período neonatal, estado do Rio de Janeiro, 1999-2014*

Lino

Fonseca

Kale

et al. 2019

Epidemiologia e Serviços de Saúde

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Objective: to analyze the incompleteness of variables retrieved from the Live Birth Information System (SINASC) and the Mortality Information System (SIM), in the State of Rio de Janeiro, in the time series 1999 to 2014. Methods: this was a time series study of SINASC and SIM; the Romero & Cunha score was used to analyze incompleteness; Joinpoint regression was used to analyze temporal trend; in 2014, deaths were evaluated separately according to investigation. Results: regarding SINASC variables, in 1999 marital status (37.40%), number of stillborn children (31.30%), and race/skin color (24.63%) had the highest incompleteness percentages; in 2014, no variable exceeded 5% incompleteness, except occupation; regarding SIM variables, in 1999 five variables exceeded 20%, and missing data for previous stillborn children was over 60%; in 2014, only one variable exceeded 20% incompleteness; investigated deaths had better completeness. Conclusion: both systems were found to have improved; the quality of SINASC completeness remained superior to that of SIM.

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Section: Methodsmentioning

confidence: 99%

Section: Renata Rodrigues Garcia Lino Et Almentioning

confidence: 99%

Section: Neonatal Vital Statistics Incompletenessmentioning

confidence: 99%

Section: Neonatal Vital Statistics Incompletenessmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Tendência da incompletude das estatísticas vitais no período neonatal, estado do Rio de Janeiro, 1999-2014*

Lino

Fonseca

Kale

et al. 2019

Epidemiologia e Serviços de Saúde

Self Cite

View full text Add to dashboard Cite

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Quality of children's death records for regionalized spaces: a methodological route

Paes

Santos

Coutinho

2021

Rev. bras. epidemiol.

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Objectives: To propose a methodological path to investigate the coverage and information filling of maternal-infant deaths recorded in the Ministry of Health's Mortality Information System for regional spaces. Methods: Four steps were proposed: 1) Assessment of the completeness of the maternal and child variables, which was measured using the deterministic linkage technique between the Mortality Information System (Sistema de Informações sobre Mortalidade – SIM) and the Live Birth Information System (Sistema de Informações sobre Nascidos Vivos – SINASC); 2) Application of the multiple imputation technique to achieve the total filling of the missing information of the variables; 3) Estimation of death coverage; 4) The Unknown Variable Information Index (Índice de Informação Desconhecida da Variável – IIDV) was measured, which represents the combined effect of data completeness and coverage of deaths. The proposal of the methodological path was exemplified for neonatal deaths in the municipalities of Paraíba that are part of the new classification proposed by the Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografia e Estatística – IBGE), as adjacent rural areas, in three triennium periods from 2009 to 2017. Results: The percentage of matching records was 45%. Most of the variables had a percentage of non-completion below 10% and around 17% for the mother's education. Coverages ranged from 75 to 83%. The IIDV for all variables was between 21 and 36% after the linkage. Conclusion: The path of the methodological proposal proved to be effective, which can be replicated to other regions, and can be extended to other categories of deaths such as post-neonatal. The combination of the proposed procedures demands low operating costs and their uses are relatively simple to be applied by the managers and technicians of the vital statistics information systems.

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Morte neonatal: incompletude das estatísticas vitais

Abstract: Neonatal death: incompleteness of vital statistics

Cited by 2 publications

References 12 publications

Tendência da incompletude das estatísticas vitais no período neonatal, estado do Rio de Janeiro, 1999-2014*

Tendência da incompletude das estatísticas vitais no período neonatal, estado do Rio de Janeiro, 1999-2014*

Quality of children's death records for regionalized spaces: a methodological route

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