Cobertura, completude e confiabilidade das informações do Sistema de Informações sobre Nascidos Vivos de maternidades da rede pública no município de São Paulo, 2011*

Bonilha, Eliana de Aquino; Vico, Eneida Sanches Ramos; Freitas, Marina de; Barbuscia, Denise Machado; Galleguillos, Tatiana Gabriela Brassea; Okamura, Mirna Namie; Santos, Patrícia Carla dos; Lira, Margarida Maria Tenório de Azevedo; Torloni, Maria Regina

doi:10.5123/s1679-49742018000100011

Cited by 24 publications

(30 citation statements)

References 1 publication

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“…[15][16][17] SINASC data coverage and quality are fundamental for its reliability as a source of substantial information for health evaluation and research. 18,19 Although good quality information was found about pregnancy type on the Rio de Janeiro state SINASC system, a result in agreement with the literature, 1,20,21 applying the routine is nevertheless useful and easy to perform. However, given the peculiar characteristics of twins, in general studies of neonatal outcomes exclude records of this group, which should be analyzed separa- Fernanda Pinheiro Aguiar et al tely.…”

Section: Discussionsupporting

confidence: 68%

Análise da aplicação de uma rotina determinística para a identificação de gestações múltiplas no Sistema de Informações sobre Nascidos Vivos*

Aguiar¹,

Flores²,

Guillen³

et al. 2020

Epidemiologia e Serviços de Saúde

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Objective: to evaluate the application of a deterministic routine for identifying multiple pregnancies on the Brazilian Live Birth Information System (SINASC). Methods: SINASC data deduplication and linkage with the mortality database (fetal deaths) for Rio de Janeiro state for the period 2007-2008; we used a deterministic routine, using a key based on SINASC maternal and birth information, complemented by manual review. Results: of the 433,874 SINASC records, 9,036 (2.1%) were classified as multiple pregnancy newborns; after implementing the routine, we reclassified 385 records as twins, and 286 as singletons; accuracy of multiple pregnancy information on the SINASC database was high (sensitivi-ty=95.8%; specificity=99.9%); applying the routine without the manual review process increased sensitivity by 4.2%, with no significant change of specificity. Conclusion: despite the accuracy of information regarding multiple pregnancy held on SINASC, we suggest the use of this routine as an option for improving classification of twins.

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Section: Discussionsupporting

confidence: 68%

Análise da aplicação de uma rotina determinística para a identificação de gestações múltiplas no Sistema de Informações sobre Nascidos Vivos*

Aguiar¹,

Flores²,

Guillen³

et al. 2020

Epidemiologia e Serviços de Saúde

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“…The deficient data source [ 9 , 19 ] raises caution when assessing and interpreting the results. While admittedly a powerful tool, DATASUS, which hosts numerous Brazilian health information systems, including e-SUS Notifica, has been criticized regarding the quality of processed and stored data [ 38 ]. For example, the lack of completed ethnicity/skin color field data is noteworthy.…”

Section: Discussionmentioning

confidence: 99%

Incidence of Reported Flu-Like Syndrome Cases in Brazilian Health Care Workers in 2020 (March to June)

Assunção

Maia

Jardim

et al. 2021

IJERPH

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Health care workers (HCWs) are at an increased risk of being exposed to COVID-19. This study aimed to characterize flu-like syndrome cases (FS) in HCWs notified in Brazil and compare them with FS cases in the general community (GC). In the Brazilian protocol, FS corresponds to a suspected case of COVID-19. The manuscript analyzed cases of FS in five Brazilian states, estimating the incidence rates of cases of FS and clinical and epidemiological characteristics. Registered cases (March to June 2020) totaled about 1,100,000 cases of FS. HCWs represented 17% of the registers, whose incidence was 20.41/100 vs. 2.15/100 in the GC. FS cases in HCWs concentrated the highest percentages in the age group of 30 to 49 years (65.15%) and among the nursing staff (46.86%). This study was the first interstate evaluation in Brazil to estimate suspected cases of FS by COVID-19 in HCWs. In order to control the spread of viral respiratory infections in HCWs, including COVID-19, it is necessary to review the management of health information to identify who they are, how many they are, and to what situations these workers are most frequently exposed, as well as in what professions they have. This information can guide specific, practical, and far-reaching actions.

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“…Surveillance data on congenital anomalies is an attractive source of information due to its universality (it covers more than 98% of live births in Brazil, for example) [10,11]. However, the surveillance system that relies on passive case finding strategies, such as SINASC, may be more susceptible to underreporting[12–14].…”

Section: Introductionmentioning

confidence: 99%

Impact evaluation of Zika epidemic on congenital anomalies registration in Brazil: An interrupted time series analysis

et al. 2019

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This study aimed to assess the impact of the Zika epidemic on the registration of birth defects in Brazil. We used an interrupted time series analysis design to identify changes in the trends in the registration of congenital anomalies. We obtained monthly data from Brazilian Live Birth Information System and used two outcome definitions: 1) rate of congenital malformation of the brain and eye (likely to be affected by Zika and its complications) 2) rate of congenital malformation not related to the brain or eye unlikely to be causally affected by Zika. The period between maternal infection with Zika and diagnosis of congenital abnormality attributable to the infection is around six months. We therefore used September 2015 as the interruption point in the time series, six months following March 2015 when cases of Zika started to increase. For the purposes of this analysis, we considered the period from January 2010 to September 2015 to be “pre-Zika event,” and the period from just after September 2015 to December 2017 to be “post-Zika event.” We found that immediately after the interruption point, there was a great increase in the notification rate of congenital anomalies of 14.9/10,000 live births in the brain and eye group and of 5.2/10,000 live births in the group not related with brain or eye malformations. This increase in reporting was in all regions of the country (except in the South) and especially in the Northeast. In the period “post-Zika event”, unlike the brain and eye group which showed a monthly decrease, the group without brain or eye malformations showed a slow but significant increase (relative to the pre-Zika trend) of 0.2/10,000 live births. These findings suggest an overall improvement in the registration of birth malformations, including malformations that were not attributed to Zika, during and after the Zika epidemic.

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Cobertura, completude e confiabilidade das informações do Sistema de Informações sobre Nascidos Vivos de maternidades da rede pública no município de São Paulo, 2011*

Abstract: in the assessed hospitals, Sinasc presented high coverage, completeness and reliability.

Cited by 24 publications

References 1 publication

Análise da aplicação de uma rotina determinística para a identificação de gestações múltiplas no Sistema de Informações sobre Nascidos Vivos*

Análise da aplicação de uma rotina determinística para a identificação de gestações múltiplas no Sistema de Informações sobre Nascidos Vivos*

Incidence of Reported Flu-Like Syndrome Cases in Brazilian Health Care Workers in 2020 (March to June)

Impact evaluation of Zika epidemic on congenital anomalies registration in Brazil: An interrupted time series analysis

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