Automated coding and selection of causes of death in Peru: a descriptive study, 2016-2019

OBJECTIVE: to describe software performance in the automatic selection of the underlying cause of death in Peru, between 2016 and 2019. METHODS: this 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 tr...

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Detalles Bibliográficos
Autores principales: Vargas-Herrera, Javier, Miki, Janet, Wong, Liliana López, Monzón, Jorge Miranda, Villanueva, Rodolfo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Secretaria de Vigilância em Saúde e Ambiente - Ministério da Saúde do Brasil 2023
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547024/
https://www.ncbi.nlm.nih.gov/pubmed/37729274
http://dx.doi.org/10.1590/S2237-96222023000300005.EN
Descripción
Sumario:OBJECTIVE: to describe software performance in the automatic selection of the underlying cause of death in Peru, between 2016 and 2019. METHODS: this 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). RESULTS: a 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; R(2) = 0.89). CONCLUSION: the 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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