Validity of diagnoses of respiratory diseases recorded in a Japanese administrative database.
Humans
COVID-19
/ diagnosis
Databases, Factual
/ standards
East Asian People
/ statistics & numerical data
Lung Neoplasms
/ diagnosis
Mesothelioma, Malignant
/ diagnosis
Pneumonia, Aspiration
/ diagnosis
Pulmonary Eosinophilia
/ diagnosis
Respiration Disorders
/ diagnosis
Japan
/ epidemiology
Reproducibility of Results
Sensitivity and Specificity
Respiratory Tract Diseases
/ diagnosis
Administrative data
Diagnosis
Respiratory disease
Validation
Journal
Respiratory investigation
ISSN: 2212-5353
Titre abrégé: Respir Investig
Pays: Netherlands
ID NLM: 101581124
Informations de publication
Date de publication:
May 2023
May 2023
Historique:
received:
04
12
2022
revised:
14
01
2023
accepted:
17
01
2023
medline:
24
4
2023
pubmed:
4
3
2023
entrez:
3
3
2023
Statut:
ppublish
Résumé
Validating the information recorded in administrative databases is essential. However, no study has comprehensively validated the accuracy of Japanese Diagnosis Procedure Combination (DPC) data on various respiratory diseases. Therefore, this study aimed to evaluate the validity of diagnoses of respiratory diseases in the DPC database. We conducted chart reviews of 400 patients hospitalized in the departments of respiratory medicine in two acute-care hospitals in Tokyo, between April 1, 2019 and March 31, 2021, and used them as reference standards. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of DPC data on 25 respiratory diseases were determined. Sensitivity ranged from 22.2% (aspiration pneumonia) to 100% (chronic eosinophilic pneumonia and malignant pleural mesothelioma) and was <50% for eight diseases, while specificity was >90% for all diseases. PPV ranged from 40.0% (aspiration pneumonia) to 100% (coronavirus disease 2019, bronchiectasis, chronic eosinophilic pneumonia, pulmonary hypertension, squamous cell carcinoma, small cell carcinoma, lung cancer of other histological types, and malignant pleural mesothelioma) and was >80% for 16 diseases. Except for chronic obstructive pulmonary disease (82.9%) and interstitial pneumonia (other than idiopathic pulmonary fibrosis) (85.4%), NPV was >90% for all diseases. These validity indices were similar in both hospitals. The validity of diagnoses of respiratory diseases in the DPC database was high in general, thereby providing an important basis for future studies.
Sections du résumé
BACKGROUND
BACKGROUND
Validating the information recorded in administrative databases is essential. However, no study has comprehensively validated the accuracy of Japanese Diagnosis Procedure Combination (DPC) data on various respiratory diseases. Therefore, this study aimed to evaluate the validity of diagnoses of respiratory diseases in the DPC database.
METHODS
METHODS
We conducted chart reviews of 400 patients hospitalized in the departments of respiratory medicine in two acute-care hospitals in Tokyo, between April 1, 2019 and March 31, 2021, and used them as reference standards. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of DPC data on 25 respiratory diseases were determined.
RESULTS
RESULTS
Sensitivity ranged from 22.2% (aspiration pneumonia) to 100% (chronic eosinophilic pneumonia and malignant pleural mesothelioma) and was <50% for eight diseases, while specificity was >90% for all diseases. PPV ranged from 40.0% (aspiration pneumonia) to 100% (coronavirus disease 2019, bronchiectasis, chronic eosinophilic pneumonia, pulmonary hypertension, squamous cell carcinoma, small cell carcinoma, lung cancer of other histological types, and malignant pleural mesothelioma) and was >80% for 16 diseases. Except for chronic obstructive pulmonary disease (82.9%) and interstitial pneumonia (other than idiopathic pulmonary fibrosis) (85.4%), NPV was >90% for all diseases. These validity indices were similar in both hospitals.
CONCLUSIONS
CONCLUSIONS
The validity of diagnoses of respiratory diseases in the DPC database was high in general, thereby providing an important basis for future studies.
Identifiants
pubmed: 36868080
pii: S2212-5345(23)00018-7
doi: 10.1016/j.resinv.2023.01.009
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
314-320Informations de copyright
Copyright © 2023 The Japanese Respiratory Society. Published by Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Conflict of Interest The authors declare no conflicts of interest.