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Accuracy of surgical complication rate estimation using ICD‐10 codes

BACKGROUND: The ICD‐10 codes are used globally for comparison of diagnoses and complications, and are an important tool for the development of patient safety, healthcare policies and the health economy. The aim of this study was to investigate the accuracy of verified complication rates in surgical...

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Autores principales: Storesund, A., Haugen, A. S., Hjortås, M., Nortvedt, M. W., Flaatten, H., Eide, G. E., Boermeester, M. A., Sevdalis, N., Søfteland, E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519147/
https://www.ncbi.nlm.nih.gov/pubmed/30229870
http://dx.doi.org/10.1002/bjs.10985
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author Storesund, A.
Haugen, A. S.
Hjortås, M.
Nortvedt, M. W.
Flaatten, H.
Eide, G. E.
Boermeester, M. A.
Sevdalis, N.
Søfteland, E.
author_facet Storesund, A.
Haugen, A. S.
Hjortås, M.
Nortvedt, M. W.
Flaatten, H.
Eide, G. E.
Boermeester, M. A.
Sevdalis, N.
Søfteland, E.
author_sort Storesund, A.
collection PubMed
description BACKGROUND: The ICD‐10 codes are used globally for comparison of diagnoses and complications, and are an important tool for the development of patient safety, healthcare policies and the health economy. The aim of this study was to investigate the accuracy of verified complication rates in surgical admissions identified by ICD‐10 codes and to validate these estimates against complications identified using the established Global Trigger Tool (GTT) methodology. METHODS: This was a prospective observational study of a sample of surgical admissions in two Norwegian hospitals. Complications were identified and classified by two expert GTT teams who reviewed patients' medical records. Three trained reviewers verified ICD‐10 codes indicating a complication present on admission or emerging in hospital. RESULTS: A total of 700 admissions were drawn randomly from 12 966 procedures. Some 519 possible complications were identified in 332 of 700 admissions (47·4 per cent) from ICD‐10 codes. Verification of the ICD‐10 codes against information from patients' medical records confirmed 298 as in‐hospital complications in 141 of 700 admissions (20·1 per cent). Using GTT methodology, 331 complications were found in 212 of 700 admissions (30·3 per cent). Agreement between the two methods reached 83·3 per cent after verification of ICD‐10 codes. The odds ratio for identifying complications using the GTT increased from 5·85 (95 per cent c.i. 4·06 to 8·44) to 25·38 (15·41 to 41·79) when ICD‐10 complication codes were verified against patients' medical records. CONCLUSION: Verified ICD‐10 codes strengthen the accuracy of complication rates. Use of non‐verified complication codes from administrative systems significantly overestimates in‐hospital surgical complication rates.
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spelling pubmed-65191472019-05-21 Accuracy of surgical complication rate estimation using ICD‐10 codes Storesund, A. Haugen, A. S. Hjortås, M. Nortvedt, M. W. Flaatten, H. Eide, G. E. Boermeester, M. A. Sevdalis, N. Søfteland, E. Br J Surg Original Articles BACKGROUND: The ICD‐10 codes are used globally for comparison of diagnoses and complications, and are an important tool for the development of patient safety, healthcare policies and the health economy. The aim of this study was to investigate the accuracy of verified complication rates in surgical admissions identified by ICD‐10 codes and to validate these estimates against complications identified using the established Global Trigger Tool (GTT) methodology. METHODS: This was a prospective observational study of a sample of surgical admissions in two Norwegian hospitals. Complications were identified and classified by two expert GTT teams who reviewed patients' medical records. Three trained reviewers verified ICD‐10 codes indicating a complication present on admission or emerging in hospital. RESULTS: A total of 700 admissions were drawn randomly from 12 966 procedures. Some 519 possible complications were identified in 332 of 700 admissions (47·4 per cent) from ICD‐10 codes. Verification of the ICD‐10 codes against information from patients' medical records confirmed 298 as in‐hospital complications in 141 of 700 admissions (20·1 per cent). Using GTT methodology, 331 complications were found in 212 of 700 admissions (30·3 per cent). Agreement between the two methods reached 83·3 per cent after verification of ICD‐10 codes. The odds ratio for identifying complications using the GTT increased from 5·85 (95 per cent c.i. 4·06 to 8·44) to 25·38 (15·41 to 41·79) when ICD‐10 complication codes were verified against patients' medical records. CONCLUSION: Verified ICD‐10 codes strengthen the accuracy of complication rates. Use of non‐verified complication codes from administrative systems significantly overestimates in‐hospital surgical complication rates. John Wiley & Sons, Ltd 2018-09-18 2019-02 /pmc/articles/PMC6519147/ /pubmed/30229870 http://dx.doi.org/10.1002/bjs.10985 Text en © 2018 The Authors. BJS published by John Wiley & Sons Ltd on behalf of BJS Society Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Storesund, A.
Haugen, A. S.
Hjortås, M.
Nortvedt, M. W.
Flaatten, H.
Eide, G. E.
Boermeester, M. A.
Sevdalis, N.
Søfteland, E.
Accuracy of surgical complication rate estimation using ICD‐10 codes
title Accuracy of surgical complication rate estimation using ICD‐10 codes
title_full Accuracy of surgical complication rate estimation using ICD‐10 codes
title_fullStr Accuracy of surgical complication rate estimation using ICD‐10 codes
title_full_unstemmed Accuracy of surgical complication rate estimation using ICD‐10 codes
title_short Accuracy of surgical complication rate estimation using ICD‐10 codes
title_sort accuracy of surgical complication rate estimation using icd‐10 codes
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519147/
https://www.ncbi.nlm.nih.gov/pubmed/30229870
http://dx.doi.org/10.1002/bjs.10985
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