ArticleEpidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil2023
Automated coding and selection of causes of death in Peru: a descriptive study, 2016-2019.
Article in Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Burden of HPV-associated cancers in Peruvian men: Evidence from national health data.Human vaccines & immunotherapeutics · 2026Article
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5 authors.
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Abstract
MAIN
resultsIt could be seen good performance of the software for the automatic selection of the underlying cause of death, increasing from 69.6% in 2016 to 78.8% in 2019. There was a correlation between this result and the use of online death certificates by physicians. IMPLICATIONS FOR SERVICES: Automatic coding and selection of causes of death improve productivity and timeliness of information, contributing to the quality of the country's information system. PERSPECTIVES: It is necessary to analyze the agreement between the medical terms in the software dictionaries used in South American countries in order to improve standardization and comparability of information on causes of death.
objectiveto describe software performance in the automatic selection of the underlying cause of death in Peru, between 2016 and 2019.
methodsthis was a descriptive study on the software performance in the automated selection of the underlying cause of death over the years (chi-square test for trend) and the correlation between the type of death certificate and software performance (correlation coefficient and coefficient of determination).
resultsa total of 446,217 death certificates were analyzed; the proportion of death certificates with the underlying cause of death increased from 69.6% in 2016 to 78.8% in 2019 (p-value < 0.001); it could be seen a direct linear correlation between electronic death certificates and software performance (correlation coefficient = 0.95; R2 = 0.89).
conclusionthe software showed good performance in the automatic selection of the underlying cause of death, with a significant increase between 2016 and 2019.
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