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Coding reliability and agreement of International Classification of Disease, 10(th) revision (ICD-10) codes in emergency department data

INTRODUCTION: Administrative health data from emergency departments play important roles in understanding health needs of the public and reasons for health care resource use. International Classification of Disease (ICD) diagnostic codes have been widely used to code reasons of clinical encounters f...

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Autores principales: Peng, Mingkai, Eastwood, Cathy, Boxill, Alicia, Jolley, Rachel Joy, Rutherford, Laura, Carlson, Karen, Dean, Stafford, Quan, Hude
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Swansea University 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299481/
https://www.ncbi.nlm.nih.gov/pubmed/32935006
http://dx.doi.org/10.23889/ijpds.v3i1.445
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author Peng, Mingkai
Eastwood, Cathy
Boxill, Alicia
Jolley, Rachel Joy
Rutherford, Laura
Carlson, Karen
Dean, Stafford
Quan, Hude
author_facet Peng, Mingkai
Eastwood, Cathy
Boxill, Alicia
Jolley, Rachel Joy
Rutherford, Laura
Carlson, Karen
Dean, Stafford
Quan, Hude
author_sort Peng, Mingkai
collection PubMed
description INTRODUCTION: Administrative health data from emergency departments play important roles in understanding health needs of the public and reasons for health care resource use. International Classification of Disease (ICD) diagnostic codes have been widely used to code reasons of clinical encounters for administrative purposes in emergency departments. OBJECTIVE: The purpose of the study is to examine the coding agreement and reliability of ICD diagnosis codes in emergency department records through auditing the routinely collected data. METHODS: We randomly sampled 1 percent of records (n=1636) between October and December 2013 from 11 emergency departments in Alberta, Canada. Auditors were employed to review the same chart and independently assign main diagnosis codes. We assessed coding agreement and reliability through comparison of codes assigned by auditors and hospital coders using proportion of agreement and Cohen’s kappa. Error analysis was conducted to review diagnosis codes with disagreement and categorized them into six groups. RESULTS: Overall, the agreement was 86.5% and 82.2% at 3 and 4 digits levels respectively, and reliability was 0.86 and 0.82 respectively. Variations of agreement and reliability were identified across different emergency departments. The major two categories of coding discrepancy were the use of different codes for same condition (23.6%) and the use of codes at different levels of specificity (20.9%). CONCLUSIONS: Diagnosis codes in emergency departments show high agreement and reliability, although there are variations of coding quality across different hospitals. Stricter coding guidelines regarding the use of unspecified codes are needed to enhance coding consistency.
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spelling pubmed-72994812020-09-14 Coding reliability and agreement of International Classification of Disease, 10(th) revision (ICD-10) codes in emergency department data Peng, Mingkai Eastwood, Cathy Boxill, Alicia Jolley, Rachel Joy Rutherford, Laura Carlson, Karen Dean, Stafford Quan, Hude Int J Popul Data Sci Population Data Science INTRODUCTION: Administrative health data from emergency departments play important roles in understanding health needs of the public and reasons for health care resource use. International Classification of Disease (ICD) diagnostic codes have been widely used to code reasons of clinical encounters for administrative purposes in emergency departments. OBJECTIVE: The purpose of the study is to examine the coding agreement and reliability of ICD diagnosis codes in emergency department records through auditing the routinely collected data. METHODS: We randomly sampled 1 percent of records (n=1636) between October and December 2013 from 11 emergency departments in Alberta, Canada. Auditors were employed to review the same chart and independently assign main diagnosis codes. We assessed coding agreement and reliability through comparison of codes assigned by auditors and hospital coders using proportion of agreement and Cohen’s kappa. Error analysis was conducted to review diagnosis codes with disagreement and categorized them into six groups. RESULTS: Overall, the agreement was 86.5% and 82.2% at 3 and 4 digits levels respectively, and reliability was 0.86 and 0.82 respectively. Variations of agreement and reliability were identified across different emergency departments. The major two categories of coding discrepancy were the use of different codes for same condition (23.6%) and the use of codes at different levels of specificity (20.9%). CONCLUSIONS: Diagnosis codes in emergency departments show high agreement and reliability, although there are variations of coding quality across different hospitals. Stricter coding guidelines regarding the use of unspecified codes are needed to enhance coding consistency. Swansea University 2018-07-26 /pmc/articles/PMC7299481/ /pubmed/32935006 http://dx.doi.org/10.23889/ijpds.v3i1.445 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Population Data Science
Peng, Mingkai
Eastwood, Cathy
Boxill, Alicia
Jolley, Rachel Joy
Rutherford, Laura
Carlson, Karen
Dean, Stafford
Quan, Hude
Coding reliability and agreement of International Classification of Disease, 10(th) revision (ICD-10) codes in emergency department data
title Coding reliability and agreement of International Classification of Disease, 10(th) revision (ICD-10) codes in emergency department data
title_full Coding reliability and agreement of International Classification of Disease, 10(th) revision (ICD-10) codes in emergency department data
title_fullStr Coding reliability and agreement of International Classification of Disease, 10(th) revision (ICD-10) codes in emergency department data
title_full_unstemmed Coding reliability and agreement of International Classification of Disease, 10(th) revision (ICD-10) codes in emergency department data
title_short Coding reliability and agreement of International Classification of Disease, 10(th) revision (ICD-10) codes in emergency department data
title_sort coding reliability and agreement of international classification of disease, 10(th) revision (icd-10) codes in emergency department data
topic Population Data Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299481/
https://www.ncbi.nlm.nih.gov/pubmed/32935006
http://dx.doi.org/10.23889/ijpds.v3i1.445
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