[Impact of the implementation of ICD-10 2016 version and Iris software on mortality statistics in Italy].

Impatto dell’implementazione della versione 2016 dell’ICD-10 e del software Iris sulle statistiche di mortalità in Italia.

Journal

Epidemiologia e prevenzione
ISSN: 1120-9763
Titre abrégé: Epidemiol Prev
Pays: Italy
ID NLM: 8902507

Informations de publication

Date de publication:
Historique:
entrez: 12 7 2019
pubmed: 12 7 2019
medline: 28 1 2020
Statut: ppublish

Résumé

to assess the impact of coding causes of death with the ICD-10 2016 version and the software Iris on Italian official statistics on mortality. coding of a sample of death certificates with two different coding systems (bridge coding). a sample of 63,525 deaths occurred throughout 2015 among people aged over one year, already coded using the ICD-10 2009 version and the Mortality Medical Data System (MMDS) software, was re-coded through the ICD-10 2016 version and the Iris software. the transition matrix between the two coding systems was realized and the agreement percentages between the two coding systems, the comparability ratios, and the relative 95% confidence intervals were calculated. Comparability ratios have been calculated for both the underlying cause of death and the multiple causes. overall, 79% of deaths showed exactly the same underlying cause of death (ICD-10 code, 4 digits) in the two coding systems. On the three-digit level, the agreement was 89%; on ICD-10 chapter level, the agreement was 95%. At the chapter level, the most important changes were observed for: • certain infectious and parasitic diseases (-18% in ICD-10 2016/Iris); • diseases of the genitourinary system (-17%); • diseases of the respiratory system (+7%); • diseases of the nervous system and sense organs (+5%); • external causes of morbidity and mortality (+5%). Analyzing the multiple causes, the most important changes were observed for: • certain infectious and parasitic diseases (-19% in ICD-10 2016/Iris); • external causes of morbidity and mortality (+28%); • symptoms, signs, and abnormal clinical and laboratory findings, not elsewhere classified (+7%). the results are very useful to explain any change in the Italian statistics on mortality comparing 2015 with the following years.

Identifiants

pubmed: 31293135
doi: 10.19191/EP19.2-3.P161.055
doi:

Types de publication

Comparative Study Journal Article

Langues

ita

Sous-ensembles de citation

IM

Pagination

161-170

Auteurs

Chiara Orsi (C)

Servizio sistema integrato salute, assistenza, previdenza e giustizia, Istituto nazionale di statistica, Roma; chiara.orsi@istat.it.

Simone Navarra (S)

Servizio sistema integrato salute, assistenza, previdenza e giustizia, Istituto nazionale di statistica, Roma.

Luisa Frova (L)

Servizio sistema integrato salute, assistenza, previdenza e giustizia, Istituto nazionale di statistica, Roma.

Enrico Grande (E)

Servizio sistema integrato salute, assistenza, previdenza e giustizia, Istituto nazionale di statistica, Roma.

Stefano Marchetti (S)

Servizio sistema integrato salute, assistenza, previdenza e giustizia, Istituto nazionale di statistica, Roma.

Marilena Pappagallo (M)

Servizio sistema integrato salute, assistenza, previdenza e giustizia, Istituto nazionale di statistica, Roma.

Francesco Grippo (F)

Servizio sistema integrato salute, assistenza, previdenza e giustizia, Istituto nazionale di statistica, Roma.

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Classifications MeSH