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Reliability of diagnostic coding in intensive care patients

INTRODUCTION: Administrative coding of medical diagnoses in intensive care unit (ICU) patients is mandatory in order to create databases for use in epidemiological and economic studies. We assessed the reliability of coding between different ICU physicians. METHOD: One hundred medical records select...

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Autores principales: Misset, Benoît, Nakache, Didier, Vesin, Aurélien, Darmon, Mickael, Garrouste-Orgeas, Maïté, Mourvillier, Bruno, Adrie, Christophe, Pease, Sébastian, de Beauregard, Marie-Aliette Costa, Goldgran-Toledano, Dany, Métais, Elisabeth, Timsit, Jean-François
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2575581/
https://www.ncbi.nlm.nih.gov/pubmed/18664267
http://dx.doi.org/10.1186/cc6969
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author Misset, Benoît
Nakache, Didier
Vesin, Aurélien
Darmon, Mickael
Garrouste-Orgeas, Maïté
Mourvillier, Bruno
Adrie, Christophe
Pease, Sébastian
de Beauregard, Marie-Aliette Costa
Goldgran-Toledano, Dany
Métais, Elisabeth
Timsit, Jean-François
author_facet Misset, Benoît
Nakache, Didier
Vesin, Aurélien
Darmon, Mickael
Garrouste-Orgeas, Maïté
Mourvillier, Bruno
Adrie, Christophe
Pease, Sébastian
de Beauregard, Marie-Aliette Costa
Goldgran-Toledano, Dany
Métais, Elisabeth
Timsit, Jean-François
author_sort Misset, Benoît
collection PubMed
description INTRODUCTION: Administrative coding of medical diagnoses in intensive care unit (ICU) patients is mandatory in order to create databases for use in epidemiological and economic studies. We assessed the reliability of coding between different ICU physicians. METHOD: One hundred medical records selected randomly from 29,393 cases collected between 1998 and 2004 in the French multicenter Outcomerea ICU database were studied. Each record was sent to two senior physicians from independent ICUs who recoded the diagnoses using the International Statistical Classification of Diseases and Related Health Problems: Tenth Revision (ICD-10) after being trained according to guidelines developed by two French national intensive care medicine societies: the French Society of Intensive Care Medicine (SRLF) and the French Society of Anesthesiology and Intensive Care Medicine (SFAR). These codes were then compared with the original codes, which had been selected by the physician treating the patient. A specific comparison was done for the diagnoses of septicemia and shock (codes derived from A41 and R57, respectively). RESULTS: The ICU physicians coded an average of 4.6 ± 3.0 (range 1 to 32) diagnoses per patient, with little agreement between the three coders. The primary diagnosis was matched by both external coders in 34% (95% confidence interval (CI) 25% to 43%) of cases, by only one in 35% (95% CI 26% to 44%) of cases, and by neither in 31% (95% CI 22% to 40%) of cases. Only 18% (95% CI 16% to 20%) of all codes were selected by all three coders. Similar results were obtained for the diagnoses of septicemia and/or shock. CONCLUSION: In a multicenter database designed primarily for epidemiological and cohort studies in ICU patients, the coding of medical diagnoses varied between different observers. This could limit the interpretation and validity of research and epidemiological programs using diagnoses as inclusion criteria.
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spelling pubmed-25755812008-10-30 Reliability of diagnostic coding in intensive care patients Misset, Benoît Nakache, Didier Vesin, Aurélien Darmon, Mickael Garrouste-Orgeas, Maïté Mourvillier, Bruno Adrie, Christophe Pease, Sébastian de Beauregard, Marie-Aliette Costa Goldgran-Toledano, Dany Métais, Elisabeth Timsit, Jean-François Crit Care Research INTRODUCTION: Administrative coding of medical diagnoses in intensive care unit (ICU) patients is mandatory in order to create databases for use in epidemiological and economic studies. We assessed the reliability of coding between different ICU physicians. METHOD: One hundred medical records selected randomly from 29,393 cases collected between 1998 and 2004 in the French multicenter Outcomerea ICU database were studied. Each record was sent to two senior physicians from independent ICUs who recoded the diagnoses using the International Statistical Classification of Diseases and Related Health Problems: Tenth Revision (ICD-10) after being trained according to guidelines developed by two French national intensive care medicine societies: the French Society of Intensive Care Medicine (SRLF) and the French Society of Anesthesiology and Intensive Care Medicine (SFAR). These codes were then compared with the original codes, which had been selected by the physician treating the patient. A specific comparison was done for the diagnoses of septicemia and shock (codes derived from A41 and R57, respectively). RESULTS: The ICU physicians coded an average of 4.6 ± 3.0 (range 1 to 32) diagnoses per patient, with little agreement between the three coders. The primary diagnosis was matched by both external coders in 34% (95% confidence interval (CI) 25% to 43%) of cases, by only one in 35% (95% CI 26% to 44%) of cases, and by neither in 31% (95% CI 22% to 40%) of cases. Only 18% (95% CI 16% to 20%) of all codes were selected by all three coders. Similar results were obtained for the diagnoses of septicemia and/or shock. CONCLUSION: In a multicenter database designed primarily for epidemiological and cohort studies in ICU patients, the coding of medical diagnoses varied between different observers. This could limit the interpretation and validity of research and epidemiological programs using diagnoses as inclusion criteria. BioMed Central 2008 2008-07-29 /pmc/articles/PMC2575581/ /pubmed/18664267 http://dx.doi.org/10.1186/cc6969 Text en Copyright © 2008 Misset et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Misset, Benoît
Nakache, Didier
Vesin, Aurélien
Darmon, Mickael
Garrouste-Orgeas, Maïté
Mourvillier, Bruno
Adrie, Christophe
Pease, Sébastian
de Beauregard, Marie-Aliette Costa
Goldgran-Toledano, Dany
Métais, Elisabeth
Timsit, Jean-François
Reliability of diagnostic coding in intensive care patients
title Reliability of diagnostic coding in intensive care patients
title_full Reliability of diagnostic coding in intensive care patients
title_fullStr Reliability of diagnostic coding in intensive care patients
title_full_unstemmed Reliability of diagnostic coding in intensive care patients
title_short Reliability of diagnostic coding in intensive care patients
title_sort reliability of diagnostic coding in intensive care patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2575581/
https://www.ncbi.nlm.nih.gov/pubmed/18664267
http://dx.doi.org/10.1186/cc6969
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