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ICD-10 codes used to identify adverse drug events in administrative data: a systematic review

BACKGROUND: Adverse drug events, the unintended and harmful effects of medications, are important outcome measures in health services research. Yet no universally accepted set of International Classification of Diseases (ICD) revision 10 codes or coding algorithms exists to ensure their consistent i...

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Autores principales: Hohl, Corinne M, Karpov, Andrei, Reddekopp, Lisa, Stausberg, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3994866/
https://www.ncbi.nlm.nih.gov/pubmed/24222671
http://dx.doi.org/10.1136/amiajnl-2013-002116
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author Hohl, Corinne M
Karpov, Andrei
Reddekopp, Lisa
Stausberg, Jürgen
author_facet Hohl, Corinne M
Karpov, Andrei
Reddekopp, Lisa
Stausberg, Jürgen
author_sort Hohl, Corinne M
collection PubMed
description BACKGROUND: Adverse drug events, the unintended and harmful effects of medications, are important outcome measures in health services research. Yet no universally accepted set of International Classification of Diseases (ICD) revision 10 codes or coding algorithms exists to ensure their consistent identification in administrative data. Our objective was to synthesize a comprehensive set of ICD-10 codes used to identify adverse drug events. METHODS: We developed a systematic search strategy and applied it to five electronic reference databases. We searched relevant medical journals, conference proceedings, electronic grey literature and bibliographies of relevant studies, and contacted content experts for unpublished studies. One author reviewed the titles and abstracts for inclusion and exclusion criteria. Two authors reviewed eligible full-text articles and abstracted data in duplicate. Data were synthesized in a qualitative manner. RESULTS: Of 4241 titles identified, 41 were included. We found a total of 827 ICD-10 codes that have been used in the medical literature to identify adverse drug events. The median number of codes used to search for adverse drug events was 190 (IQR 156–289) with a large degree of variability between studies in the numbers and types of codes used. Authors commonly used external injury (Y40.0–59.9) and disease manifestation codes. Only two papers reported on the sensitivity of their code set. CONCLUSIONS: Substantial variability exists in the methods used to identify adverse drug events in administrative data. Our work may serve as a point of reference for future research and consensus building in this area.
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spelling pubmed-39948662014-04-22 ICD-10 codes used to identify adverse drug events in administrative data: a systematic review Hohl, Corinne M Karpov, Andrei Reddekopp, Lisa Stausberg, Jürgen J Am Med Inform Assoc Review BACKGROUND: Adverse drug events, the unintended and harmful effects of medications, are important outcome measures in health services research. Yet no universally accepted set of International Classification of Diseases (ICD) revision 10 codes or coding algorithms exists to ensure their consistent identification in administrative data. Our objective was to synthesize a comprehensive set of ICD-10 codes used to identify adverse drug events. METHODS: We developed a systematic search strategy and applied it to five electronic reference databases. We searched relevant medical journals, conference proceedings, electronic grey literature and bibliographies of relevant studies, and contacted content experts for unpublished studies. One author reviewed the titles and abstracts for inclusion and exclusion criteria. Two authors reviewed eligible full-text articles and abstracted data in duplicate. Data were synthesized in a qualitative manner. RESULTS: Of 4241 titles identified, 41 were included. We found a total of 827 ICD-10 codes that have been used in the medical literature to identify adverse drug events. The median number of codes used to search for adverse drug events was 190 (IQR 156–289) with a large degree of variability between studies in the numbers and types of codes used. Authors commonly used external injury (Y40.0–59.9) and disease manifestation codes. Only two papers reported on the sensitivity of their code set. CONCLUSIONS: Substantial variability exists in the methods used to identify adverse drug events in administrative data. Our work may serve as a point of reference for future research and consensus building in this area. BMJ Publishing Group 2014-05 2013-11-12 /pmc/articles/PMC3994866/ /pubmed/24222671 http://dx.doi.org/10.1136/amiajnl-2013-002116 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Review
Hohl, Corinne M
Karpov, Andrei
Reddekopp, Lisa
Stausberg, Jürgen
ICD-10 codes used to identify adverse drug events in administrative data: a systematic review
title ICD-10 codes used to identify adverse drug events in administrative data: a systematic review
title_full ICD-10 codes used to identify adverse drug events in administrative data: a systematic review
title_fullStr ICD-10 codes used to identify adverse drug events in administrative data: a systematic review
title_full_unstemmed ICD-10 codes used to identify adverse drug events in administrative data: a systematic review
title_short ICD-10 codes used to identify adverse drug events in administrative data: a systematic review
title_sort icd-10 codes used to identify adverse drug events in administrative data: a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3994866/
https://www.ncbi.nlm.nih.gov/pubmed/24222671
http://dx.doi.org/10.1136/amiajnl-2013-002116
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