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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...

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Autores principales: Wiebe, Natalie, Quan, Hude, Southern, Danielle A, Doktorchik, Chelsea, Eastwood, Catherine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Swansea University 2021
Materias:
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.
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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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