| アブストラクト | 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: 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: 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: The validity of diagnoses of respiratory diseases in the DPC database was high in general, thereby providing an important basis for future studies. |
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| ジャーナル名 | Respiratory investigation |
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| Pubmed追加日 | 2023/3/4 |
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| 投稿者 | Awano, Nobuyasu; Urushiyama, Hirokazu; Yamana, Hayato; Yokoyama, Akira; Ando, Takahiro; Izumo, Takehiro; Inomata, Minoru; Ito, Yu; Jo, Taisuke |
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| 組織名 | Department of Respiratory Medicine, Japanese Red Cross Medical Center, Tokyo,;Japan. Electronic address: awanobu0606@hotmail.co.jp.;Department of Respiratory Medicine, Graduate School of Medicine, The University;of Tokyo, Tokyo, Japan.;Data Science Center, Jichi Medical University, Tochigi, Japan; Department of;Clinical Epidemiology and Health Economics, School of Public Health, The;University of Tokyo, Tokyo, Japan.;Japan.;of Tokyo, Tokyo, Japan; Department of Health Services Research, Graduate School;of Medicine, The University of Tokyo, Tokyo, Japan. |
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| Pubmed リンク | https://www.ncbi.nlm.nih.gov/pubmed/36868080/ |
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