Validity of cerebrovascular ICD-9-CM codes in healthcare administrative databases. The Umbria Data-Value Project.

BACKGROUND:Validation of administrative databases for cerebrovascular diseases is crucial for epidemiological, outcome, and health services research. The aim of this study was to validate ICD-9 codes for hemorrhagic or ischemic stroke in administrative databases, to use them for a comprehensive asse...

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Main Authors: Massimiliano Orso, Francesco Cozzolino, Serena Amici, Marcello De Giorgi, David Franchini, Paolo Eusebi, Anna Julia Heymann, Guido Lombardo, Anna Mengoni, Alessandro Montedori, Giuseppe Ambrosio, Iosief Abraha
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0227653
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spelling doaj-bdb8889c0fa24f59a2d7d988025468422021-03-03T21:27:11ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01151e022765310.1371/journal.pone.0227653Validity of cerebrovascular ICD-9-CM codes in healthcare administrative databases. The Umbria Data-Value Project.Massimiliano OrsoFrancesco CozzolinoSerena AmiciMarcello De GiorgiDavid FranchiniPaolo EusebiAnna Julia HeymannGuido LombardoAnna MengoniAlessandro MontedoriGiuseppe AmbrosioIosief AbrahaBACKGROUND:Validation of administrative databases for cerebrovascular diseases is crucial for epidemiological, outcome, and health services research. The aim of this study was to validate ICD-9 codes for hemorrhagic or ischemic stroke in administrative databases, to use them for a comprehensive assessment of the burden of disease in terms of major outcomes, such as mortality, hospital readmissions, and use of healthcare resources. METHODS:We considered the hospital discharge abstract database of the Umbria Region (890,000 residents). Source population was represented by patients aged >18 discharged from hospital with a diagnosis of hemorrhagic or ischemic stroke between 2012 and 2014 using ICD-9-CM codes in primary position. We randomly selected and reviewed medical charts of cases and non-cases from hospitals. For case ascertainment we considered symptoms and instrumental tests reported in the medical charts. Diagnostic accuracy measures were computed using 2x2 tables. RESULTS:We reviewed 767 medical charts for cases and 78 charts for non-cases. Diagnostic accuracy measures were: subarachnoid hemorrhage: sensitivity (SE) 100% (95% CI: 97%-100%), specificity (SP) 96% (90-99), positive predictive value (PPV) 98% (93-100), negative predictive value (NPV) 100% (95-100); intracerebral hemorrhage: SE 100% (97-100), SP 98% (91-100), PPV 98% (94-100), NPV 100% (95-100); other and unspecified intracranial hemorrhage: SE 100% (97-100), SP 96% (90-99), PPV 98% (93-100), NPV 100% (95-100); ischemic stroke due to occlusion and stenosis of precerebral arteries: SE 99% (94-100), SP 66 (57-75), PPV 70% (61-77), NPV 99% (93-100); occlusion of cerebral arteries: SE 100% (97-100), SP 87% (78-93), PPV 91% (84-95), NPV 100% (95-100); acute, but ill-defined, cerebrovascular disease: SE 100% (97-100), SP 78% (69-86), PPV % 83 (75-89), NPV 100% (95-100). CONCLUSIONS:Case ascertainment for both ischemic and hemorrhagic stroke showed good or high levels of accuracy within the regional healthcare databases in Umbria. This database can confidently be employed for epidemiological, outcome, and health services research related to any type of stroke.https://doi.org/10.1371/journal.pone.0227653
collection DOAJ
language English
format Article
sources DOAJ
author Massimiliano Orso
Francesco Cozzolino
Serena Amici
Marcello De Giorgi
David Franchini
Paolo Eusebi
Anna Julia Heymann
Guido Lombardo
Anna Mengoni
Alessandro Montedori
Giuseppe Ambrosio
Iosief Abraha
spellingShingle Massimiliano Orso
Francesco Cozzolino
Serena Amici
Marcello De Giorgi
David Franchini
Paolo Eusebi
Anna Julia Heymann
Guido Lombardo
Anna Mengoni
Alessandro Montedori
Giuseppe Ambrosio
Iosief Abraha
Validity of cerebrovascular ICD-9-CM codes in healthcare administrative databases. The Umbria Data-Value Project.
PLoS ONE
author_facet Massimiliano Orso
Francesco Cozzolino
Serena Amici
Marcello De Giorgi
David Franchini
Paolo Eusebi
Anna Julia Heymann
Guido Lombardo
Anna Mengoni
Alessandro Montedori
Giuseppe Ambrosio
Iosief Abraha
author_sort Massimiliano Orso
title Validity of cerebrovascular ICD-9-CM codes in healthcare administrative databases. The Umbria Data-Value Project.
title_short Validity of cerebrovascular ICD-9-CM codes in healthcare administrative databases. The Umbria Data-Value Project.
title_full Validity of cerebrovascular ICD-9-CM codes in healthcare administrative databases. The Umbria Data-Value Project.
title_fullStr Validity of cerebrovascular ICD-9-CM codes in healthcare administrative databases. The Umbria Data-Value Project.
title_full_unstemmed Validity of cerebrovascular ICD-9-CM codes in healthcare administrative databases. The Umbria Data-Value Project.
title_sort validity of cerebrovascular icd-9-cm codes in healthcare administrative databases. the umbria data-value project.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
description BACKGROUND:Validation of administrative databases for cerebrovascular diseases is crucial for epidemiological, outcome, and health services research. The aim of this study was to validate ICD-9 codes for hemorrhagic or ischemic stroke in administrative databases, to use them for a comprehensive assessment of the burden of disease in terms of major outcomes, such as mortality, hospital readmissions, and use of healthcare resources. METHODS:We considered the hospital discharge abstract database of the Umbria Region (890,000 residents). Source population was represented by patients aged >18 discharged from hospital with a diagnosis of hemorrhagic or ischemic stroke between 2012 and 2014 using ICD-9-CM codes in primary position. We randomly selected and reviewed medical charts of cases and non-cases from hospitals. For case ascertainment we considered symptoms and instrumental tests reported in the medical charts. Diagnostic accuracy measures were computed using 2x2 tables. RESULTS:We reviewed 767 medical charts for cases and 78 charts for non-cases. Diagnostic accuracy measures were: subarachnoid hemorrhage: sensitivity (SE) 100% (95% CI: 97%-100%), specificity (SP) 96% (90-99), positive predictive value (PPV) 98% (93-100), negative predictive value (NPV) 100% (95-100); intracerebral hemorrhage: SE 100% (97-100), SP 98% (91-100), PPV 98% (94-100), NPV 100% (95-100); other and unspecified intracranial hemorrhage: SE 100% (97-100), SP 96% (90-99), PPV 98% (93-100), NPV 100% (95-100); ischemic stroke due to occlusion and stenosis of precerebral arteries: SE 99% (94-100), SP 66 (57-75), PPV 70% (61-77), NPV 99% (93-100); occlusion of cerebral arteries: SE 100% (97-100), SP 87% (78-93), PPV 91% (84-95), NPV 100% (95-100); acute, but ill-defined, cerebrovascular disease: SE 100% (97-100), SP 78% (69-86), PPV % 83 (75-89), NPV 100% (95-100). CONCLUSIONS:Case ascertainment for both ischemic and hemorrhagic stroke showed good or high levels of accuracy within the regional healthcare databases in Umbria. This database can confidently be employed for epidemiological, outcome, and health services research related to any type of stroke.
url https://doi.org/10.1371/journal.pone.0227653
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