O óbito e sua investigação: reflexões sobre alguns aspectos relevantes

Jorge, Maria Helena Prado de Mello; Laurenti, Ruy; Nubila, Heloisa Brunow Ventura Di

doi:10.1590/s1415-790x2010000400002

Cited by 13 publications

(13 citation statements)

References 7 publications

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“…We overcame this problem by focusing on blood donors that are routinely screened for Chagas disease and that data are available through computerized systems. In Brazil, the national mortality information system has a national coverage and the quality of its cause of death data has improved substantially over the last two decades [25–28]. …”

Section: Discussionmentioning

confidence: 99%

Mortality among blood donors seropositive and seronegative for Chagas disease (1996–2000) in São Paulo, Brazil: A death certificate linkage study

et al. 2017

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BackgroundIndividuals in the indeterminate phase of Chagas disease are considered to have mortality rates similar to those of the overall population. This study compares mortality rates among blood donors seropositive for Chagas disease and negative controls in the city of São Paulo, Brazil.Methodology/principal findingsThis is a retrospective cohort study of blood donors from 1996 to 2000: 2842 seropositive and 5684 seronegative for Chagas disease. Death status was ascertained by performing probabilistic record linkage (RL) with the Brazil national mortality information system (SIM). RL was assessed in a previous validation study. Cox Regression was used to derive hazard ratios (HR), adjusting for confounders. RL identified 159 deaths among the 2842 seropositive blood donors (5.6%) and 103 deaths among the 5684 seronegative (1.8%). Out of the 159 deaths among seropositive donors, 26 had the 10th International Statistical Classification of Diseases and Related Health Problems (ICD-10) indicating Chagas disease as the underlying cause of death (B57.0/B57.5), 23 had ICD-10 codes (I42.0/I42.2/I47.0/I47.2/I49.0/I50.0/I50.1/ I50.9/I51.7) indicating cardiac abnormalities possibly related to Chagas disease listed as an underlying or associated cause of death, with the others having no mention of Chagas disease in part I of the death certificate. Donors seropositive for Chagas disease had a 2.3 times higher risk of death due to all causes (95% Confidence Interval (95% CI), 1.8–3.0) than seronegative donors. When considering deaths due to Chagas disease or those that had underlying causes of cardiac abnormalities related to Chagas disease, seropositive donors had a risk of death 17.9 (95% CI, 6.3–50.8) times greater than seronegative donors.Conclusions/significanceThere is an excess risk of death in donors seropositive blood for Chagas disease compared to seronegative donors. Chagas disease is an under-reported cause of death in the Brazilian mortality database.

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Section: Discussionmentioning

confidence: 99%

Mortality among blood donors seropositive and seronegative for Chagas disease (1996–2000) in São Paulo, Brazil: A death certificate linkage study

et al. 2017

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“…SIM has undergone significant improvements in coverage and overall data quality over the last decade 21 , but mostly these improvements were needed for remote rural areas of the Northeastern and Northern regions of the country, and for individuals who had died outside hospitals and were at the extremes of age 22 . This was not the case for the 196 individuals from our reference file who were known to have died during their hospitalization at the biggest public university hospital in the city of São Paulo, where they had certainly been granted a death certificate.…”

Section: Discussionmentioning

confidence: 99%

Accuracy of a probabilistic record-linkage methodology used to track blood donors in the Mortality Information System database

et al. 2014

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The probabilistic record linkage (PRL) is based on a likelihood score that measures the degree of similarity of several matching variables. Screening test results for different diseases are available for the blood donor population. In this paper, we describe the accuracy of a PRL process used to track blood donors from the Fundação Pró-Sangue (FPS) in the Mortality Information System (SIM), in order that future studies might determine the blood donor’s cause of death. The databases used for linkage were SIM and the database made up of individuals that were living (200 blood donors in 2007) and dead (196 from the Hospital das Clinicas de São Paulo that died in 2001–2005). The method consists of cleaning and linking the databases using three blocking steps comparing the variables “Name/Mother’s Name/ Date of Birth” to determine a cut-off score. For a cut-off score of 7.06, the sensitivity and specificity of the method is 94.4% (95%CI: 90.0–97.0) and 100% (95%CI: 98.0–100.0), respectively. This method can be used in studies that aim to track blood donors from the FPS database in SIM.

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“…Regarding household interviews, the absence of information is due to wrong addresses or families moving, as well as refusals 15,22,26 . The evaluation of the investigation of infant fatalities permitted the identification of significant differences between the health districts in their different dimensions.…”

Section: Classification Of the Investigation By Dimensionmentioning

confidence: 99%

“…The death investigation retrospectively permits an evaluation via patient records and through interviews with family and professionals involved in maternal and child care 10,14 . In order to unravel the circumstances in which the event occurred, the investigation explores the variety of determinants in infant mortality 12 , identifying failures in the chain of healthcare actions 6,[15][16][17][18][19] . The instrument of data collection regarding infant death is not the same in all of Brazil, in spite of the Ministry of Health making a standard model available for investigation in the domestic, outpatient, and hospital environments 1,10 .…”

Section: Introductionmentioning

confidence: 99%