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Describing agreement in the main condition coding field using Canadian ICD-11 inpatient data
INTRODUCTION: Countries use varying coding standards, which impact international coded data comparability. The ‘main condition’ (MC) field is coded within the Discharge Abstract Database as “reason for admission” or “largest resource use”. OBJECTIVE: We offer a preliminary analysis on the frequency...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Swansea University
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8532191/ https://www.ncbi.nlm.nih.gov/pubmed/34734124 http://dx.doi.org/10.23889/ijpds.v6i1.1397 |
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author | Wiebe, Natalie Quan, Hude Southern, Danielle A Doktorchik, Chelsea Eastwood, Catherine |
author_facet | Wiebe, Natalie Quan, Hude Southern, Danielle A Doktorchik, Chelsea Eastwood, Catherine |
author_sort | Wiebe, Natalie |
collection | PubMed |
description | INTRODUCTION: Countries use varying coding standards, which impact international coded data comparability. The ‘main condition’ (MC) field is coded within the Discharge Abstract Database as “reason for admission” or “largest resource use”. OBJECTIVE: We offer a preliminary analysis on the frequency of and contributing factors to MC definition agreements within an inpatient Canadian dataset. METHODS: Six professional coders performed a chart review between August 2016 and June 2017 on 3,000 randomly selected inpatient charts from three acute care hospitals in Calgary, Alberta. Coders classified the MC as “reason for admission”, “largest resource use” or “both”. Patients were admitted between 1(st) January and 30(th) June 2015 and met the inclusion criteria if they were ≥18 years, had an Alberta personal health care number, and had an inpatient visit for any service outside of obstetrics. Agreement between the two MC definitions was stratified by length of stay (LOS), emergency department admission, hospital of origin, discharge location, age, sex, procedures, and comorbidities. Chi-square analysis and frequency of inconsistencies were reported. RESULTS: Only 34 (1.51%) of the 2,250 patient charts had disagreeing MC definitions. Age, emergency visit on admit, LOS, hospital, and discharge location were associated with MC agreement. Chronic conditions were seen more often in MC definition agreements, and acute conditions seen within those disagreeing. CONCLUSION: There was a small proportion of cases in which the condition bringing the patient to hospital was not also the condition occupying the largest resources. Within disagreements, further research using a larger sample size is needed to explore the presence of MC in a secondary/tertiary condition, the association between patient complexity and disagreeing MC definitions, and the nature of the conditions seen in the inconsistent MC definitions. |
format | Online Article Text |
id | pubmed-8532191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Swansea University |
record_format | MEDLINE/PubMed |
spelling | pubmed-85321912021-11-02 Describing agreement in the main condition coding field using Canadian ICD-11 inpatient data Wiebe, Natalie Quan, Hude Southern, Danielle A Doktorchik, Chelsea Eastwood, Catherine Int J Popul Data Sci Population Data Science INTRODUCTION: Countries use varying coding standards, which impact international coded data comparability. The ‘main condition’ (MC) field is coded within the Discharge Abstract Database as “reason for admission” or “largest resource use”. OBJECTIVE: We offer a preliminary analysis on the frequency of and contributing factors to MC definition agreements within an inpatient Canadian dataset. METHODS: Six professional coders performed a chart review between August 2016 and June 2017 on 3,000 randomly selected inpatient charts from three acute care hospitals in Calgary, Alberta. Coders classified the MC as “reason for admission”, “largest resource use” or “both”. Patients were admitted between 1(st) January and 30(th) June 2015 and met the inclusion criteria if they were ≥18 years, had an Alberta personal health care number, and had an inpatient visit for any service outside of obstetrics. Agreement between the two MC definitions was stratified by length of stay (LOS), emergency department admission, hospital of origin, discharge location, age, sex, procedures, and comorbidities. Chi-square analysis and frequency of inconsistencies were reported. RESULTS: Only 34 (1.51%) of the 2,250 patient charts had disagreeing MC definitions. Age, emergency visit on admit, LOS, hospital, and discharge location were associated with MC agreement. Chronic conditions were seen more often in MC definition agreements, and acute conditions seen within those disagreeing. CONCLUSION: There was a small proportion of cases in which the condition bringing the patient to hospital was not also the condition occupying the largest resources. Within disagreements, further research using a larger sample size is needed to explore the presence of MC in a secondary/tertiary condition, the association between patient complexity and disagreeing MC definitions, and the nature of the conditions seen in the inconsistent MC definitions. Swansea University 2021-10-19 /pmc/articles/PMC8532191/ /pubmed/34734124 http://dx.doi.org/10.23889/ijpds.v6i1.1397 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 Wiebe, Natalie Quan, Hude Southern, Danielle A Doktorchik, Chelsea Eastwood, Catherine Describing agreement in the main condition coding field using Canadian ICD-11 inpatient data |
title | Describing agreement in the main condition coding field using Canadian ICD-11 inpatient data |
title_full | Describing agreement in the main condition coding field using Canadian ICD-11 inpatient data |
title_fullStr | Describing agreement in the main condition coding field using Canadian ICD-11 inpatient data |
title_full_unstemmed | Describing agreement in the main condition coding field using Canadian ICD-11 inpatient data |
title_short | Describing agreement in the main condition coding field using Canadian ICD-11 inpatient data |
title_sort | describing agreement in the main condition coding field using canadian icd-11 inpatient data |
topic | Population Data Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8532191/ https://www.ncbi.nlm.nih.gov/pubmed/34734124 http://dx.doi.org/10.23889/ijpds.v6i1.1397 |
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