Performance evaluation of case definitions of type 1 diabetes for health insurance claims data in Japan
Abstract Background No case definition of Type 1 diabetes (T1D) for the claims data has been proposed in Japan yet. This study aimed to evaluate the performance of candidate case definitions for T1D using Electronic health care records (EHR) and claims data in a University Hospital in Japan. Methods...
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| Format: | Article |
| Language: | English |
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BMC
2021-02-01
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| Series: | BMC Medical Informatics and Decision Making |
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| Online Access: | https://doi.org/10.1186/s12911-021-01422-z |
| _version_ | 1819180933987696640 |
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| author | Tasuku Okui Chinatsu Nojiri Shinichiro Kimura Kentaro Abe Sayaka Maeno Masae Minami Yasutaka Maeda Naoko Tajima Tomoyuki Kawamura Naoki Nakashima |
| author_facet | Tasuku Okui Chinatsu Nojiri Shinichiro Kimura Kentaro Abe Sayaka Maeno Masae Minami Yasutaka Maeda Naoko Tajima Tomoyuki Kawamura Naoki Nakashima |
| author_sort | Tasuku Okui |
| collection | DOAJ |
| description | Abstract Background No case definition of Type 1 diabetes (T1D) for the claims data has been proposed in Japan yet. This study aimed to evaluate the performance of candidate case definitions for T1D using Electronic health care records (EHR) and claims data in a University Hospital in Japan. Methods The EHR and claims data for all the visiting patients in a University Hospital were used. As the candidate case definitions for claims data, we constructed 11 definitions by combinations of International Statistical Classification of Diseases and Related Health Problems, Tenth Revision. (ICD 10) code of T1D, the claims code of insulin needles for T1D patients, basal insulin, and syringe pump for continuous subcutaneous insulin infusion (CSII). We constructed a predictive model for T1D patients using disease names, medical practices, and medications as explanatory variables. The predictive model was applied to patients of test group (validation data), and performances of candidate case definitions were evaluated. Results As a result of performance evaluation, the sensitivity of the confirmed disease name of T1D was 32.9 (95% CI: 28.4, 37.2), and positive predictive value (PPV) was 33.3 (95% CI: 38.0, 38.4). By using the case definition of both the confirmed diagnosis of T1D and either of the claims code of the two insulin treatment methods (i.e., syringe pump for CSII and insulin needles), PPV improved to 90.2 (95% CI: 85.2, 94.4). Conclusions We have established a case definition with high PPV, and the case definition can be used for precisely detecting T1D patients from claims data in Japan. |
| first_indexed | 2024-12-22T22:22:13Z |
| format | Article |
| id | doaj.art-ba43cdda4b9d4f3db45f5da72173a528 |
| institution | Directory Open Access Journal |
| issn | 1472-6947 |
| language | English |
| last_indexed | 2024-12-22T22:22:13Z |
| publishDate | 2021-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Informatics and Decision Making |
| spelling | doaj.art-ba43cdda4b9d4f3db45f5da72173a5282022-12-21T18:10:39ZengBMCBMC Medical Informatics and Decision Making1472-69472021-02-012111710.1186/s12911-021-01422-zPerformance evaluation of case definitions of type 1 diabetes for health insurance claims data in JapanTasuku Okui0Chinatsu Nojiri1Shinichiro Kimura2Kentaro Abe3Sayaka Maeno4Masae Minami5Yasutaka Maeda6Naoko Tajima7Tomoyuki Kawamura8Naoki Nakashima9Medical Information Center, Kyushu University HospitalMedical Information Center, Kyushu University HospitalDepartment of Molecular Medicine and Metabolism, Research Institute of Environmental Medicine, Nagoya UniversityNational Hospital Organization Kokura Medical CenterSasaki Diabetes ClinicClinic Masae MinamiClinic Masae MinamiJikei University School of MedicineDepartmentof Pediatrics, Osaka City UniversityMedical Information Center, Kyushu University HospitalAbstract Background No case definition of Type 1 diabetes (T1D) for the claims data has been proposed in Japan yet. This study aimed to evaluate the performance of candidate case definitions for T1D using Electronic health care records (EHR) and claims data in a University Hospital in Japan. Methods The EHR and claims data for all the visiting patients in a University Hospital were used. As the candidate case definitions for claims data, we constructed 11 definitions by combinations of International Statistical Classification of Diseases and Related Health Problems, Tenth Revision. (ICD 10) code of T1D, the claims code of insulin needles for T1D patients, basal insulin, and syringe pump for continuous subcutaneous insulin infusion (CSII). We constructed a predictive model for T1D patients using disease names, medical practices, and medications as explanatory variables. The predictive model was applied to patients of test group (validation data), and performances of candidate case definitions were evaluated. Results As a result of performance evaluation, the sensitivity of the confirmed disease name of T1D was 32.9 (95% CI: 28.4, 37.2), and positive predictive value (PPV) was 33.3 (95% CI: 38.0, 38.4). By using the case definition of both the confirmed diagnosis of T1D and either of the claims code of the two insulin treatment methods (i.e., syringe pump for CSII and insulin needles), PPV improved to 90.2 (95% CI: 85.2, 94.4). Conclusions We have established a case definition with high PPV, and the case definition can be used for precisely detecting T1D patients from claims data in Japan.https://doi.org/10.1186/s12911-021-01422-zPredictive modelType 1 diabetesValidation studyMachine learning |
| spellingShingle | Tasuku Okui Chinatsu Nojiri Shinichiro Kimura Kentaro Abe Sayaka Maeno Masae Minami Yasutaka Maeda Naoko Tajima Tomoyuki Kawamura Naoki Nakashima Performance evaluation of case definitions of type 1 diabetes for health insurance claims data in Japan BMC Medical Informatics and Decision Making Predictive model Type 1 diabetes Validation study Machine learning |
| title | Performance evaluation of case definitions of type 1 diabetes for health insurance claims data in Japan |
| title_full | Performance evaluation of case definitions of type 1 diabetes for health insurance claims data in Japan |
| title_fullStr | Performance evaluation of case definitions of type 1 diabetes for health insurance claims data in Japan |
| title_full_unstemmed | Performance evaluation of case definitions of type 1 diabetes for health insurance claims data in Japan |
| title_short | Performance evaluation of case definitions of type 1 diabetes for health insurance claims data in Japan |
| title_sort | performance evaluation of case definitions of type 1 diabetes for health insurance claims data in japan |
| topic | Predictive model Type 1 diabetes Validation study Machine learning |
| url | https://doi.org/10.1186/s12911-021-01422-z |
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