Cargando…
ICD-10-AM codes for cirrhosis and related complications: key performance considerations for population and healthcare studies
OBJECTIVE: The utility of International Classification of Diseases (ICD) codes relies on the accuracy of clinical reporting and administrative coding, which may be influenced by country-specific codes and coding rules. This study explores the accuracy and limitations of the Australian Modification of...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500192/ https://www.ncbi.nlm.nih.gov/pubmed/32943463 http://dx.doi.org/10.1136/bmjgast-2020-000485 |
_version_ | 1783583817807691776 |
---|---|
author | Hayward, Kelly L Johnson, Amy L Mckillen, Benjamin J Burke, Niall T Bansal, Vikas Horsfall, Leigh U Hartel, Gunter Moser, Chris Powell, Elizabeth E Valery, Patricia C |
author_facet | Hayward, Kelly L Johnson, Amy L Mckillen, Benjamin J Burke, Niall T Bansal, Vikas Horsfall, Leigh U Hartel, Gunter Moser, Chris Powell, Elizabeth E Valery, Patricia C |
author_sort | Hayward, Kelly L |
collection | PubMed |
description | OBJECTIVE: The utility of International Classification of Diseases (ICD) codes relies on the accuracy of clinical reporting and administrative coding, which may be influenced by country-specific codes and coding rules. This study explores the accuracy and limitations of the Australian Modification of the 10th revision of ICD (ICD-10-AM) to detect the presence of cirrhosis and a subset of key complications for the purpose of future large-scale epidemiological research and healthcare studies. DESIGN/METHOD: ICD-10-AM codes in a random sample of 540 admitted patient encounters at a major Australian tertiary hospital were compared with data abstracted from patients’ medical records by four blinded clinicians. Accuracy of individual codes and grouped combinations was determined by calculating sensitivity, positive predictive value (PPV), negative predictive value and Cohen’s kappa coefficient (κ). RESULTS: The PPVs for ‘grouped cirrhosis’ codes (0.96), hepatocellular carcinoma (0.97) ascites (0.97) and ‘grouped varices’ (0.95) were good (κ all >0.60). However, codes under-detected the prevalence of cirrhosis, ascites and varices (sensitivity 81.4%, 61.9% and 61.3%, respectively). Overall accuracy was lower for spontaneous bacterial peritonitis (‘grouped’ PPV 0.75; κ 0.73) and the poorest for encephalopathy (‘grouped’ PPV 0.55; κ 0.21). To optimise detection of cirrhosis-related encounters, an ICD-10-AM code algorithm was constructed and validated in an independent cohort of 116 patients with known cirrhosis. CONCLUSION: Multiple ICD-10-AM codes should be considered when using administrative databases to study the burden of cirrhosis and its complications in Australia, to avoid underestimation of the prevalence, morbidity, mortality and related resource utilisation from this burgeoning chronic disease. |
format | Online Article Text |
id | pubmed-7500192 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-75001922020-10-05 ICD-10-AM codes for cirrhosis and related complications: key performance considerations for population and healthcare studies Hayward, Kelly L Johnson, Amy L Mckillen, Benjamin J Burke, Niall T Bansal, Vikas Horsfall, Leigh U Hartel, Gunter Moser, Chris Powell, Elizabeth E Valery, Patricia C BMJ Open Gastroenterol Epidemiology OBJECTIVE: The utility of International Classification of Diseases (ICD) codes relies on the accuracy of clinical reporting and administrative coding, which may be influenced by country-specific codes and coding rules. This study explores the accuracy and limitations of the Australian Modification of the 10th revision of ICD (ICD-10-AM) to detect the presence of cirrhosis and a subset of key complications for the purpose of future large-scale epidemiological research and healthcare studies. DESIGN/METHOD: ICD-10-AM codes in a random sample of 540 admitted patient encounters at a major Australian tertiary hospital were compared with data abstracted from patients’ medical records by four blinded clinicians. Accuracy of individual codes and grouped combinations was determined by calculating sensitivity, positive predictive value (PPV), negative predictive value and Cohen’s kappa coefficient (κ). RESULTS: The PPVs for ‘grouped cirrhosis’ codes (0.96), hepatocellular carcinoma (0.97) ascites (0.97) and ‘grouped varices’ (0.95) were good (κ all >0.60). However, codes under-detected the prevalence of cirrhosis, ascites and varices (sensitivity 81.4%, 61.9% and 61.3%, respectively). Overall accuracy was lower for spontaneous bacterial peritonitis (‘grouped’ PPV 0.75; κ 0.73) and the poorest for encephalopathy (‘grouped’ PPV 0.55; κ 0.21). To optimise detection of cirrhosis-related encounters, an ICD-10-AM code algorithm was constructed and validated in an independent cohort of 116 patients with known cirrhosis. CONCLUSION: Multiple ICD-10-AM codes should be considered when using administrative databases to study the burden of cirrhosis and its complications in Australia, to avoid underestimation of the prevalence, morbidity, mortality and related resource utilisation from this burgeoning chronic disease. BMJ Publishing Group 2020-09-17 /pmc/articles/PMC7500192/ /pubmed/32943463 http://dx.doi.org/10.1136/bmjgast-2020-000485 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Epidemiology Hayward, Kelly L Johnson, Amy L Mckillen, Benjamin J Burke, Niall T Bansal, Vikas Horsfall, Leigh U Hartel, Gunter Moser, Chris Powell, Elizabeth E Valery, Patricia C ICD-10-AM codes for cirrhosis and related complications: key performance considerations for population and healthcare studies |
title | ICD-10-AM codes for cirrhosis and related complications: key performance considerations for population and healthcare studies |
title_full | ICD-10-AM codes for cirrhosis and related complications: key performance considerations for population and healthcare studies |
title_fullStr | ICD-10-AM codes for cirrhosis and related complications: key performance considerations for population and healthcare studies |
title_full_unstemmed | ICD-10-AM codes for cirrhosis and related complications: key performance considerations for population and healthcare studies |
title_short | ICD-10-AM codes for cirrhosis and related complications: key performance considerations for population and healthcare studies |
title_sort | icd-10-am codes for cirrhosis and related complications: key performance considerations for population and healthcare studies |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500192/ https://www.ncbi.nlm.nih.gov/pubmed/32943463 http://dx.doi.org/10.1136/bmjgast-2020-000485 |
work_keys_str_mv | AT haywardkellyl icd10amcodesforcirrhosisandrelatedcomplicationskeyperformanceconsiderationsforpopulationandhealthcarestudies AT johnsonamyl icd10amcodesforcirrhosisandrelatedcomplicationskeyperformanceconsiderationsforpopulationandhealthcarestudies AT mckillenbenjaminj icd10amcodesforcirrhosisandrelatedcomplicationskeyperformanceconsiderationsforpopulationandhealthcarestudies AT burkeniallt icd10amcodesforcirrhosisandrelatedcomplicationskeyperformanceconsiderationsforpopulationandhealthcarestudies AT bansalvikas icd10amcodesforcirrhosisandrelatedcomplicationskeyperformanceconsiderationsforpopulationandhealthcarestudies AT horsfallleighu icd10amcodesforcirrhosisandrelatedcomplicationskeyperformanceconsiderationsforpopulationandhealthcarestudies AT hartelgunter icd10amcodesforcirrhosisandrelatedcomplicationskeyperformanceconsiderationsforpopulationandhealthcarestudies AT moserchris icd10amcodesforcirrhosisandrelatedcomplicationskeyperformanceconsiderationsforpopulationandhealthcarestudies AT powellelizabethe icd10amcodesforcirrhosisandrelatedcomplicationskeyperformanceconsiderationsforpopulationandhealthcarestudies AT valerypatriciac icd10amcodesforcirrhosisandrelatedcomplicationskeyperformanceconsiderationsforpopulationandhealthcarestudies |