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Validity of administrative data in recording sepsis: a systematic review

INTRODUCTION: Administrative health data have been used to study sepsis in large population-based studies. The validity of these study findings depends largely on the quality of the administrative data source and the validity of the case definition used. We systematically reviewed the literature to...

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Autores principales: Jolley, Rachel J, Sawka, Keri Jo, Yergens, Dean W, Quan, Hude, Jetté, Nathalie, Doig, Christopher J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4403835/
https://www.ncbi.nlm.nih.gov/pubmed/25887596
http://dx.doi.org/10.1186/s13054-015-0847-3
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author Jolley, Rachel J
Sawka, Keri Jo
Yergens, Dean W
Quan, Hude
Jetté, Nathalie
Doig, Christopher J
author_facet Jolley, Rachel J
Sawka, Keri Jo
Yergens, Dean W
Quan, Hude
Jetté, Nathalie
Doig, Christopher J
author_sort Jolley, Rachel J
collection PubMed
description INTRODUCTION: Administrative health data have been used to study sepsis in large population-based studies. The validity of these study findings depends largely on the quality of the administrative data source and the validity of the case definition used. We systematically reviewed the literature to assess the validity of case definitions of sepsis used with administrative data. METHODS: Embase and MEDLINE were searched for published articles with International Classification of Diseases (ICD) coded data used to define sepsis. Abstracts and full-text articles were reviewed in duplicate. Data were abstracted from all eligible full-text articles, including ICD-9- and/or ICD-10-based case definitions, sensitivity (Sn), specificity (Sp), positive predictive value (PPV) and negative predictive value (NPV). RESULTS: Of 2,317 individual studies identified, 12 full-text articles met all eligibility criteria. A total of 38 sepsis case definitions were tested, which included over 130 different ICD codes. The most common ICD-9 codes were 038.x, 790.7 and 995.92, and the most common ICD-10 codes were A40.x and A41.x. The PPV was reported in ten studies and ranged from 5.6% to 100%, with a median of 50%. Other tests of diagnostic accuracy were reported only in some studies. Sn ranged from 5.9% to 82.3%; Sp ranged from 78.3% to 100%; and NPV ranged from 62.1% to 99.7%. CONCLUSIONS: The validity of administrative data in recording sepsis varied substantially across individual studies and ICD definitions. Our work may serve as a reference point for consensus towards an improved and harmonized ICD-coded definition of sepsis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13054-015-0847-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-44038352015-04-21 Validity of administrative data in recording sepsis: a systematic review Jolley, Rachel J Sawka, Keri Jo Yergens, Dean W Quan, Hude Jetté, Nathalie Doig, Christopher J Crit Care Research INTRODUCTION: Administrative health data have been used to study sepsis in large population-based studies. The validity of these study findings depends largely on the quality of the administrative data source and the validity of the case definition used. We systematically reviewed the literature to assess the validity of case definitions of sepsis used with administrative data. METHODS: Embase and MEDLINE were searched for published articles with International Classification of Diseases (ICD) coded data used to define sepsis. Abstracts and full-text articles were reviewed in duplicate. Data were abstracted from all eligible full-text articles, including ICD-9- and/or ICD-10-based case definitions, sensitivity (Sn), specificity (Sp), positive predictive value (PPV) and negative predictive value (NPV). RESULTS: Of 2,317 individual studies identified, 12 full-text articles met all eligibility criteria. A total of 38 sepsis case definitions were tested, which included over 130 different ICD codes. The most common ICD-9 codes were 038.x, 790.7 and 995.92, and the most common ICD-10 codes were A40.x and A41.x. The PPV was reported in ten studies and ranged from 5.6% to 100%, with a median of 50%. Other tests of diagnostic accuracy were reported only in some studies. Sn ranged from 5.9% to 82.3%; Sp ranged from 78.3% to 100%; and NPV ranged from 62.1% to 99.7%. CONCLUSIONS: The validity of administrative data in recording sepsis varied substantially across individual studies and ICD definitions. Our work may serve as a reference point for consensus towards an improved and harmonized ICD-coded definition of sepsis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13054-015-0847-3) contains supplementary material, which is available to authorized users. BioMed Central 2015-04-06 2015 /pmc/articles/PMC4403835/ /pubmed/25887596 http://dx.doi.org/10.1186/s13054-015-0847-3 Text en © Jolley et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Jolley, Rachel J
Sawka, Keri Jo
Yergens, Dean W
Quan, Hude
Jetté, Nathalie
Doig, Christopher J
Validity of administrative data in recording sepsis: a systematic review
title Validity of administrative data in recording sepsis: a systematic review
title_full Validity of administrative data in recording sepsis: a systematic review
title_fullStr Validity of administrative data in recording sepsis: a systematic review
title_full_unstemmed Validity of administrative data in recording sepsis: a systematic review
title_short Validity of administrative data in recording sepsis: a systematic review
title_sort validity of administrative data in recording sepsis: a systematic review
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4403835/
https://www.ncbi.nlm.nih.gov/pubmed/25887596
http://dx.doi.org/10.1186/s13054-015-0847-3
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