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 7 publications

(17 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…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%

See 4 more Smart Citations

Record Linkage for Malaria Deaths Data Recovery and Surveillance in Brazil

Garcia,

Xavier,

Soremekun

et al. 2023

TropicalMed

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Record Linkage for Malaria Deaths Data Recovery and Surveillance in Brazil

Garcia,

Xavier,

Soremekun

et al. 2023

TropicalMed

Self Cite

View full text Add to dashboard Cite

show abstract

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

View full text Add to dashboard Cite

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.

show abstract

Towards malaria elimination: a case–control study to assess associated factors to malaria relapses in the extra-Amazon Region of Brazil from 2008 to 2019

Garcia,

de Deus Henriques,

da Silva Balieiro

et al. 2024

Malar J

View full text Add to dashboard Cite

Background Malaria is an infectious disease caused by the Plasmodium species and is a global burden. When not treated correctly, it can reemerge as a relapse or recrudescence. Malaria relapse cases can contribute to maintaining active transmission chains and can influence the patient to develop severe malaria, potentially leading to hospitalization or death. The objective of this study is to estimate the number of malaria relapse cases in the extra-Amazon region of Brazil and to investigate the associated factors. Methods This is a case–control study that analyses malaria infections caused by Plasmodium vivax, as reported in Notifiable Diseases Information System (Sinan) for the Brazilian extra-Amazon region (an area not endemic for the disease) from 2008 to 2019. For the identification of relapse cases, deduplication record linkage processes in R software were used. Malaria relapses were defined as the case group, and new malaria infections were defined as the control group. Logistic regression models were used to assess associated factors. Results Of the 711 malaria relapses, 589 (82.8%) were first relapses. Most relapses (71.6%) occurred between 30 and 120 days after the previous infection. Malaria relapses are spread throughout the extra-Amazon region, with a higher concentration near big cities. Driver occupation was found to be a common risk factor compared to other occupations, along with asymptomatic individuals. Other associated factors were: being infected in the Brazilian Amazon region, having follow-ups for malaria relapses, and having parasite density of the previous infection higher than 10,000 parasites per mm3. Conclusions This study provides evidence that allows malaria health surveillance services to direct their efforts to monitor cases of malaria in the highest risk segments identified in this study, particularly in the period between 30 and 120 days after being infected and treated. Relapses were associated to driver occupation, absence of symptoms, infection in endemic areas of Brazil, being detected through active surveillance or routine follow-up actions, and with parasitaemia greater than 10,000 parasites per mm3 in the previous infection. Improving cases follow-up is essential for preventing relapses.

show abstract

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

Cited by 7 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

Towards malaria elimination: a case–control study to assess associated factors to malaria relapses in the extra-Amazon Region of Brazil from 2008 to 2019

Contact Info

Product

Resources

About