Cargando…

Medical adverse events in the US 2018 mortality data

Although medical error has been estimated as a major cause of death in the US, the capability of current diagnostic coding systems and standard death certificates to capture these events has been criticized. This register-based study aimed to scrutinize medical adverse event deaths (i.e., deaths due...

Descripción completa

Detalles Bibliográficos
Autor principal: Oura, Petteri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683850/
https://www.ncbi.nlm.nih.gov/pubmed/34976638
http://dx.doi.org/10.1016/j.pmedr.2021.101574
_version_ 1784617506348990464
author Oura, Petteri
author_facet Oura, Petteri
author_sort Oura, Petteri
collection PubMed
description Although medical error has been estimated as a major cause of death in the US, the capability of current diagnostic coding systems and standard death certificates to capture these events has been criticized. This register-based study aimed to scrutinize medical adverse event deaths (i.e., deaths due to adverse events occurring within the healthcare practice, avoidable or unavoidable, including late complications and sequelae of such events) in the US National Vital Statistics 2018 mortality dataset. Individual-level data on underlying and multiple causes of death according to the tenth revision of the International Classification of Diseases (ICD-10) coding system were extracted together with the decedents’ sex, age, ethnicity and education level. Adverse event deaths were identified by ICD-10 codes Y40–Y84 and Y88. The dataset comprised a total of 2 846 305 certified deaths. An adverse event ICD-10 code was used as the underlying cause of death in 0.16% (n = 4620) of the cases, and appeared on the list of multiple causes in 1.13% (n = 32 226) of the cases. Odds for adverse event death were higher among younger than elderly individuals, among those of black than white ethnicity, and among individuals with higher education level. The present data indirectly support previous evidence that a large number of adverse events remain underrecognized or misclassified. Future analyses are needed to reveal the root causes behind underreporting and to analyze whether it occurs at random or in a systematic way.
format Online
Article
Text
id pubmed-8683850
institution National Center for Biotechnology Information
language English
publishDate 2021
record_format MEDLINE/PubMed
spelling pubmed-86838502021-12-30 Medical adverse events in the US 2018 mortality data Oura, Petteri Prev Med Rep Short Communication Although medical error has been estimated as a major cause of death in the US, the capability of current diagnostic coding systems and standard death certificates to capture these events has been criticized. This register-based study aimed to scrutinize medical adverse event deaths (i.e., deaths due to adverse events occurring within the healthcare practice, avoidable or unavoidable, including late complications and sequelae of such events) in the US National Vital Statistics 2018 mortality dataset. Individual-level data on underlying and multiple causes of death according to the tenth revision of the International Classification of Diseases (ICD-10) coding system were extracted together with the decedents’ sex, age, ethnicity and education level. Adverse event deaths were identified by ICD-10 codes Y40–Y84 and Y88. The dataset comprised a total of 2 846 305 certified deaths. An adverse event ICD-10 code was used as the underlying cause of death in 0.16% (n = 4620) of the cases, and appeared on the list of multiple causes in 1.13% (n = 32 226) of the cases. Odds for adverse event death were higher among younger than elderly individuals, among those of black than white ethnicity, and among individuals with higher education level. The present data indirectly support previous evidence that a large number of adverse events remain underrecognized or misclassified. Future analyses are needed to reveal the root causes behind underreporting and to analyze whether it occurs at random or in a systematic way. 2021-10-02 /pmc/articles/PMC8683850/ /pubmed/34976638 http://dx.doi.org/10.1016/j.pmedr.2021.101574 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Short Communication
Oura, Petteri
Medical adverse events in the US 2018 mortality data
title Medical adverse events in the US 2018 mortality data
title_full Medical adverse events in the US 2018 mortality data
title_fullStr Medical adverse events in the US 2018 mortality data
title_full_unstemmed Medical adverse events in the US 2018 mortality data
title_short Medical adverse events in the US 2018 mortality data
title_sort medical adverse events in the us 2018 mortality data
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683850/
https://www.ncbi.nlm.nih.gov/pubmed/34976638
http://dx.doi.org/10.1016/j.pmedr.2021.101574
work_keys_str_mv AT ourapetteri medicaladverseeventsintheus2018mortalitydata