Validation of physician certified verbal autopsy using conventional autopsy: a large study of adult non-external causes of death in a metropolitan area in Brazil

• Autor(a) principal: Carmen Diva Saldivade André
• Data de Publicação: 2022
• Outros Autores: Leonardo Tadashi Kamaura, João Eduardo Ferreira, Riley h. Hazard, Deirdre Mclaughlin, Ian Riley, Alan D. Lopez, Ana Maria de Oliveira Ramos, Maria de Fatima Marinho de Souza, Elisabeth Barboza França, Paulo Hilário Nascimento Saldiva, Ana Luiza Bierrenbach, Luiz Fernando Ferraz da Silva, Lucia Pereira Barroso, Paulo Afonso de André, Lisie Tocci Justo, Luiz Alberto Amador Pereira, Mauro T. Taniguchi, Cátia Martinez Minto, Pedro Losco Takecian
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFMG
• Texto Completo: https://doi.org/10.1186/s12889-022-13081-4; http://hdl.handle.net/1843/61598; http://orcid.org/0000-0002-0181-6357
• topic: Verbal autopsy; Mortality surveillance; Natural death; Death certifcation; Underlying cause of death; Vital statistics; Autopsia; Mortalidade; Morte; Causas de Morte; Estatísticas Vitais

Background Reliable mortality data are essential for the development of public health policies. In Brazil, although there is a well-consolidated universal system for mortality data, the quality of information on causes of death (CoD) is not even among Brazilian regions, with a high proportion of ill-defined CoD. Verbal autopsy (VA) is an alternative to improve mortality data. This study aimed to evaluate the performance of an adapted and reduced version of VA in identifying the underlying causes of non-forensic deaths, in São Paulo, Brazil. This is the first time that a version of the questionnaire has been validated considering the autopsy as the gold standard. Methods The performance of a physician-certified verbal autopsy (PCVA) was evaluated considering conventional autopsy (macroscopy plus microscopy) as gold standard, based on a sample of 2060 decedents that were sent to the Post-Mortem Verification Service (SVOC-USP). All CoD, from the underlying to the immediate, were listed by both parties, and ICD-10 attributed by a senior coder. For each cause, sensitivity and chance corrected concordance (CCC) were computed considering first the underlying causes attributed by the pathologist and PCVA, and then any CoD listed in the death certificate given by PCVA. Cause specific mortality fraction accuracy (CSMF-accuracy) and chance corrected CSMF-accuracy were computed to evaluate the PCVA performance at the populational level. Results There was substantial variability of the sensitivities and CCC across the causes. Well-known chronic diseases with accurate diagnoses that had been informed by physicians to family members, such as various cancers, had sensitivities above 40% or 50%. However, PCVA was not effective in attributing Pneumonia, Cardiomyopathy and Leukemia/Lymphoma as underlying CoD. At populational level, the PCVA estimated cause specific mortality fractions (CSMF) may be considered close to the fractions pointed by the gold standard. The CSMF-accuracy was 0.81 and the chance corrected CSMF-accuracy was 0.49. Conclusions The PCVA was efficient in attributing some causes individually and proved effective in estimating the CSMF, which indicates that the method is useful to establish public health priorities.