Procedimentos para vinculação de dados da saúde: aplicações na vigilância em saúde

Garcia, Klauss Kleydmann Sabino; Miranda, Cristiano Barreto de; Sousa, Flávia Nogueira e Ferreira de

doi:10.1590/s2237-96222022000300004

Cited by 6 publications

(17 citation statements)

References 15 publications

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“…Pre-planning: Variables of interest from the SIM, Sivep-Malaria, and Sinan databases were defined. For pairing, “Patient’s Name,” “Date of Birth,” and “Mother’s Name” were selected as linkage key variables, following suggestions from previous studies [ 2 , 17 , 18 ].…”

Section: Methodsmentioning

confidence: 99%

“…Data treatment: To perform data treatment and linkages, the tidyverse, lubridate, stringr, stringi, fuzzyjoin, stringdist, abjutils, and Rcpp packages from R software (version 4.2.1) were used. Data preparation followed the data cleaning and treatment methods previously reported [ 2 ]. To reduce errors and inconsistencies, an initial standardisation of key variables was performed in all three databases.…”

Section: Methodsmentioning

confidence: 99%

“…The interoperability of these systems has not yet been achieved [ 1 ], and there is no single unique patient (user) identifier allowing the linkage between different databases. Historically, most records lack national individual identification numbers such as the Individual Taxpayer Registration (Cadastro de Pessoa Física—CPF) [ 2 ]. Consequently, when a need to correlate information across different databases arises, it becomes necessary to link data from the previously nominated HIS using probabilistic data linkage techniques.…”

Section: Introductionmentioning

confidence: 99%

“…Probabilistic data linkage has yielded favourable results in research across various fields of knowledge and provided evidence for quality health outcomes within the public health sector [ 5 , 6 , 7 ]. However, the linkage not only depends on specialised human resources but also relies on the quality of data within these HIS records, and the availability of computational processing power for the task [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

“…The technique also enables the assessment of possible related pairs as true or false and maximises the number of true pairs identified [ 8 ]. Therefore, probabilistic linkage techniques present better results than deterministic record linkage because its sensitivity allows one to find more true pairs than the deterministic one, which matches only perfect records between databases [ 2 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

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Record Linkage for Malaria Deaths Data Recovery and Surveillance in Brazil

Garcia,

Xavier,

Soremekun

et al. 2023

TropicalMed

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Objective: The objective is to describe the results and the methodological processes of record linkage for matching deaths and malaria cases. Methods: A descriptive cross-sectional study was conducted with probabilistic record linkage of death and malaria cases data in Brazil from 2011 to 2020 using death records from the Mortality Information System (SIM) and epidemiological data from the Notifiable Diseases Information System (Sinan) and Epidemiological Surveillance Information Systems for malaria (Sivep-Malaria). Three matching keys were used: patient’s name, date of birth, and mother’s name, with an analysis of cosine and Levenshtein dissimilarity measures. Results: A total of 490 malaria deaths were recorded in Brazil between 2011 and 2020. The record linkage resulted in the pairing of 216 deaths (44.0%). Pairings where all three matching keys were identical accounted for 30.1% of the total matched deaths, 39.4% of the matched deaths had two identical variables, and 30.5% had only one of the three key variables identical. The distribution of the variables of the matched deaths (216) was similar to the distribution of all recorded deaths (490). Out of the 216 matched deaths, 80 (37.0%) had poorly specified causes of death in the SIM. Conclusions: The record linkage allowed for the detailing of the data with additional information from other epidemiological systems. Record linkage enables data linkage between information systems that lack interoperability and is an extremely useful tool for refining health situation analyses and improving malaria death surveillance in Brazil.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Record Linkage for Malaria Deaths Data Recovery and Surveillance in Brazil

Garcia,

Xavier,

Soremekun

et al. 2023

TropicalMed

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Towards malaria elimination: a reflection about digital notification modules to improve malaria cases notification speed and follow-up in the Brazilian Amazon region

Garcia,

Rodovalho,

Siqueira

2024

Malar J

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Background Health information systems (HIS) are a pivotal element in epidemiological surveillance. In Brazil, malaria persists as a public health challenge, with 99% of its occurrences concentrated in the Amazon region, where cases are reported through the HIS Sivep-Malaria. Recent technological advancements indicate that case notifications can be expedited through more efficient systems with broader coverage. The objective of this study is to analyse opportunities for notification within Sivep-Malaria and explore the implementation of mobile electronic devices and applications to enhance the performance of malaria case notifications and use. Methods This descriptive study analyses data on malaria-positive cases in the Brazilian Amazon from 2004 to 2022. Malaria Epidemiological Surveillance System (Sivep-Malaria) data were used. The Brazilian Amazon region area is approximately 5 million km2 across nine different states in Brazil. Data entry opportunities were assessed by considering the time difference between the 'date of data entry' and the 'date of notification.' Descriptive statistics, including analyses of means and medians, were conducted across the entire Amazon region, and for indigenous population villages and gold mining areas. Results Between 2004 and 2022, 6,176,878 new malaria cases were recorded in Brazil. The average data entry opportunity throughout the period was 17.9 days, with a median of 8 days. The most frequently occurring value was 1 day, and 99% of all notifications were entered within 138 days, with 75.0% entered within 20 days after notification. The states with the poorest data entry opportunities were Roraima and Tocantins, with averages of 31.3 and 31.0 days, respectively. For indigenous population villages and gold mining areas, the median data entry opportunities were 23 and 15 days, respectively. Conclusions In malaria elimination, where surveillance is a primary strategy for evaluating each reported case, reducing notification time, enhancing data quality and being able to follow-up cases through computerized reports offer significant benefits for cases investigation. Technological improvements in Sivep-Malaria could yield substantial benefits for malaria control in Brazil, aiding the country in achieving disease elimination and fulfilling the Sustainable Development Goals.

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Underreporting of unfavorable outcomes of congenital syphilis on the Notifiable Health Conditions Information System in the state of São Paulo, Brazil, 2007-2018

Festa,

Prado,

Jesuino

et al. 2023

Epidemiol. Serv. Saúde

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Objective: to describe the frequency of underreporting of unfavorable outcomes of congenital syphilis in the state of São Paulo, Brazil, 2007-2018. Methods: this was a descriptive study of cases of abortion, fetal and non-fetal deaths due to congenital syphilis reported on the Notifiable Health Conditions Information System (Sistema de Informação de Agravos de Notificação - SINAN), and those of congenital syphilis registered in any line in the Death Certificate, on the Mortality Information System (Sistema de Informações sobre Mortalidade - SIM), by means of probabilistic and deterministic linkage. Results: of the 27,713 cases of congenital syphilis reported, 1,320 progressed to death (871 fetal deaths, 449 infant deaths) and were matched to the SIM; 355 deaths (259 fetal deaths, 96 infant deaths) were not included on SINAN; there was an increase in unfavorable outcomes,11.4% for infant deaths due to congenital syphilis, 3.0% for fetal deaths and 1.9% for abortions. Conclusion: the use of different relationship techniques proved to be adequate to identify the frequency of underreporting of unfavorable outcomes of congenital syphilis in the state of São Paulo.

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Procedimentos para vinculação de dados da saúde: aplicações na vigilância em saúde

Cited by 6 publications

References 15 publications

Record Linkage for Malaria Deaths Data Recovery and Surveillance in Brazil

Record Linkage for Malaria Deaths Data Recovery and Surveillance in Brazil

Towards malaria elimination: a reflection about digital notification modules to improve malaria cases notification speed and follow-up in the Brazilian Amazon region

Underreporting of unfavorable outcomes of congenital syphilis on the Notifiable Health Conditions Information System in the state of São Paulo, Brazil, 2007-2018

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