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Positive predictive values of the International Classification of Disease, 10th edition diagnoses codes for diverticular disease in the Danish National Registry of Patients

OBJECTIVE: To investigate the accuracy of diagnostic coding for diverticular disease in the Danish National Registry of Patients (NRP). STUDY DESIGN AND SETTING: At Aalborg Hospital, Denmark, with a catchment area of 640,000 inhabitants, we identified 100 patients recorded in the NRP with a diagnosi...

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Autores principales: Erichsen, Rune, Strate, Lisa, Sørensen, Henrik Toft, Baron, John A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3108666/
https://www.ncbi.nlm.nih.gov/pubmed/21694857
http://dx.doi.org/10.2147/CEG.S13293
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author Erichsen, Rune
Strate, Lisa
Sørensen, Henrik Toft
Baron, John A
author_facet Erichsen, Rune
Strate, Lisa
Sørensen, Henrik Toft
Baron, John A
author_sort Erichsen, Rune
collection PubMed
description OBJECTIVE: To investigate the accuracy of diagnostic coding for diverticular disease in the Danish National Registry of Patients (NRP). STUDY DESIGN AND SETTING: At Aalborg Hospital, Denmark, with a catchment area of 640,000 inhabitants, we identified 100 patients recorded in the NRP with a diagnosis of diverticular disease (International Classification of Disease codes, 10th revision [ICD-10] K572–K579) during the 1999–2008 period. We assessed the positive predictive value (PPV) as a measure of the accuracy of discharge codes for diverticular disease using information from discharge abstracts and outpatient notes as the reference standard. RESULTS: Of the 100 patients coded with diverticular disease, 49 had complicated diverticular disease, whereas 51 had uncomplicated diverticulosis. For the overall diagnosis of diverticular disease (K57), the PPV was 0.98 (95% confidence intervals [CIs]: 0.93, 0.99). For the more detailed subgroups of diagnosis indicating the presence or absence of complications (K573–K579) the PPVs ranged from 0.67 (95% CI: 0.09, 0.99) to 0.92 (95% CI: 0.52, 1.00). The diagnosis codes did not allow accurate identification of uncomplicated disease or any specific complication. However, the combined ICD-10 codes K572, K574, and K578 had a PPV of 0.91 (95% CI: 0.71, 0.99) for any complication. CONCLUSION: The diagnosis codes in the NRP can be used to identify patients with diverticular disease in general; however, they do not accurately discern patients with uncomplicated diverticulosis or with specific diverticular complications.
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spelling pubmed-31086662011-06-21 Positive predictive values of the International Classification of Disease, 10th edition diagnoses codes for diverticular disease in the Danish National Registry of Patients Erichsen, Rune Strate, Lisa Sørensen, Henrik Toft Baron, John A Clin Exp Gastroenterol Short Report OBJECTIVE: To investigate the accuracy of diagnostic coding for diverticular disease in the Danish National Registry of Patients (NRP). STUDY DESIGN AND SETTING: At Aalborg Hospital, Denmark, with a catchment area of 640,000 inhabitants, we identified 100 patients recorded in the NRP with a diagnosis of diverticular disease (International Classification of Disease codes, 10th revision [ICD-10] K572–K579) during the 1999–2008 period. We assessed the positive predictive value (PPV) as a measure of the accuracy of discharge codes for diverticular disease using information from discharge abstracts and outpatient notes as the reference standard. RESULTS: Of the 100 patients coded with diverticular disease, 49 had complicated diverticular disease, whereas 51 had uncomplicated diverticulosis. For the overall diagnosis of diverticular disease (K57), the PPV was 0.98 (95% confidence intervals [CIs]: 0.93, 0.99). For the more detailed subgroups of diagnosis indicating the presence or absence of complications (K573–K579) the PPVs ranged from 0.67 (95% CI: 0.09, 0.99) to 0.92 (95% CI: 0.52, 1.00). The diagnosis codes did not allow accurate identification of uncomplicated disease or any specific complication. However, the combined ICD-10 codes K572, K574, and K578 had a PPV of 0.91 (95% CI: 0.71, 0.99) for any complication. CONCLUSION: The diagnosis codes in the NRP can be used to identify patients with diverticular disease in general; however, they do not accurately discern patients with uncomplicated diverticulosis or with specific diverticular complications. Dove Medical Press 2010-10-01 /pmc/articles/PMC3108666/ /pubmed/21694857 http://dx.doi.org/10.2147/CEG.S13293 Text en © 2010 Erichsen et al, publisher and licensee Dove Medical Press Ltd. This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited.
spellingShingle Short Report
Erichsen, Rune
Strate, Lisa
Sørensen, Henrik Toft
Baron, John A
Positive predictive values of the International Classification of Disease, 10th edition diagnoses codes for diverticular disease in the Danish National Registry of Patients
title Positive predictive values of the International Classification of Disease, 10th edition diagnoses codes for diverticular disease in the Danish National Registry of Patients
title_full Positive predictive values of the International Classification of Disease, 10th edition diagnoses codes for diverticular disease in the Danish National Registry of Patients
title_fullStr Positive predictive values of the International Classification of Disease, 10th edition diagnoses codes for diverticular disease in the Danish National Registry of Patients
title_full_unstemmed Positive predictive values of the International Classification of Disease, 10th edition diagnoses codes for diverticular disease in the Danish National Registry of Patients
title_short Positive predictive values of the International Classification of Disease, 10th edition diagnoses codes for diverticular disease in the Danish National Registry of Patients
title_sort positive predictive values of the international classification of disease, 10th edition diagnoses codes for diverticular disease in the danish national registry of patients
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3108666/
https://www.ncbi.nlm.nih.gov/pubmed/21694857
http://dx.doi.org/10.2147/CEG.S13293
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