Accuracy of Japanese claims data in identifying diabetes-related complications.


Journal

Pharmacoepidemiology and drug safety
ISSN: 1099-1557
Titre abrégé: Pharmacoepidemiol Drug Saf
Pays: England
ID NLM: 9208369

Informations de publication

Date de publication:
05 2021
Historique:
revised: 26 01 2021
received: 25 11 2020
accepted: 22 02 2021
pubmed: 26 2 2021
medline: 25 11 2021
entrez: 25 2 2021
Statut: ppublish

Résumé

To evaluate the accuracy of various claims-based definitions of diabetes-related complications (coronary artery disease [CAD], heart failure, cerebrovascular disease and dialysis). We evaluated data on 1379 inpatients who received care at the Niigata University Medical & Dental Hospital in September 2018. Manual electronic medical chart reviews were conducted for all patients with regard to diabetes-related complications and were used as the gold standard. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of each claims-based definition associated with diabetes-related complications based on Diagnosis Procedure Combination (DPC), International Classification of Diseases, Tenth Revision (ICD-10) codes, procedure codes and medication codes were calculated. DPC-based definitions had higher sensitivity, specificity, and PPV than ICD-10 code definitions for CAD and cerebrovascular disease, with sensitivity of 0.963-1.000 and 0.905-0.952, specificity of 1.000 and 1.000, and PPV of 1.000 and 1.000, respectively. Sensitivity, specificity, and PPV were high using procedure codes for CAD and dialysis, with sensitivity of 0.963 and 1.000, specificity of 1.000 and 1.000, and PPV of 1.000 and 1.000, respectively. DPC and/or ICD-10 codes + medication were better for heart failure than the ICD-10 code definition, with sensitivity of 0.933, specificity of 1.000, and PPV of 1.000. The PPVs were lower than 60% for all diabetes-related complications using ICD-10 codes only. The DPC-based definitions for CAD and cerebrovascular disease, procedure codes for CAD and dialysis, and DPC or ICD-10 codes with medication codes for heart failure could accurately identify these diabetes-related complications from claims databases.

Identifiants

pubmed: 33629363
doi: 10.1002/pds.5213
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

594-601

Informations de copyright

© 2021 John Wiley & Sons Ltd.

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Auteurs

Kazuya Fujihara (K)

Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan.

Mayuko Yamada-Harada (M)

Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan.

Yasuhiro Matsubayashi (Y)

Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan.

Masaru Kitazawa (M)

Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan.

Masahiko Yamamoto (M)

Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan.

Yuta Yaguchi (Y)

Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan.

Hiroyasu Seida (H)

JMDC Inc., Tokyo, Japan.

Satoru Kodama (S)

Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan.

Kohei Akazawa (K)

Department of Medical Informatics, Niigata University Medical and Dental Hospital, Niigata, Japan.

Hirohito Sone (H)

Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan.

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