Validation of Self-reported Medical Condition in the Taiwan Biobank
Background: This study aimed to validate self-reported medical conditions in the Taiwan Biobank (TWBB), in which participants were inquired about 30 disease conditions, by comparing them with claims records from Taiwan’s National Health Insurance (NHI) claims database. Methods: We identified 30 clin...
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| Format: | Article |
| Language: | English |
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Japan Epidemiological Association
2025-03-01
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| Series: | Journal of Epidemiology |
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| Online Access: | https://www.jstage.jst.go.jp/article/jea/35/3/35_JE20240110/_pdf |
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| author | Chi-Shin Wu Le-Yin Hsu Chen-Yang Shen Wei J. Chen Shi-Heng Wang |
| author_facet | Chi-Shin Wu Le-Yin Hsu Chen-Yang Shen Wei J. Chen Shi-Heng Wang |
| author_sort | Chi-Shin Wu |
| collection | DOAJ |
| description | Background: This study aimed to validate self-reported medical conditions in the Taiwan Biobank (TWBB), in which participants were inquired about 30 disease conditions, by comparing them with claims records from Taiwan’s National Health Insurance (NHI) claims database. Methods: We identified 30 clinical diagnoses using International Classification of Diseases - Clinical Modification codes from ambulatory and hospital claims within the NHI claims database, matching diseases included in the TWBB. The concordance between self-reports and claims records was evaluated using tetrachoric correlation to assess the correlation between binary variables. Results: A total of 131,834 participants aged 30–70 years with data from the TWBB and NHI records were included. Concordance analysis revealed tetrachoric correlations ranged from 0.420 (chronic obstructive pulmonary disease) to 0.970 (multiple sclerosis). However, several disorders exhibited lower tetrachoric correlations. The concordance was higher among those with higher education attainment, and lower among married individuals. Conclusion: The concordance between self-reports in the TWBB and NHI claims records varied across clinical diagnoses, showing inconsistencies depending on participant characteristics. These findings underscore the need for further investigation, especially when these variables are crucial to research objectives. Integrating complementary databases, such as clinical diagnoses, prescription records, and medical procedures, can enhance accuracy through customized algorithms based on disease categories and participant characteristics and optimize sensitivity or positive predictive values to align with specific research objectives. |
| format | Article |
| id | doaj-art-e7a8df8d98184bc0bdb2e203846145b2 |
| institution | OA Journals |
| issn | 0917-5040 1349-9092 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Japan Epidemiological Association |
| record_format | Article |
| series | Journal of Epidemiology |
| spelling | doaj-art-e7a8df8d98184bc0bdb2e203846145b22025-08-20T02:02:01ZengJapan Epidemiological AssociationJournal of Epidemiology0917-50401349-90922025-03-0135314114610.2188/jea.JE20240110Validation of Self-reported Medical Condition in the Taiwan BiobankChi-Shin Wu0Le-Yin Hsu1Chen-Yang Shen2Wei J. Chen3Shi-Heng Wang4National Center for Geriatrics and Welfare Research, National Health Research Institutes, Zhunan, TaiwanInstitute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, TaiwanInstitute of Biomedical Sciences, Academia Sinica, Taipei, TaiwanInstitute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, TaiwanNational Center for Geriatrics and Welfare Research, National Health Research Institutes, Zhunan, TaiwanBackground: This study aimed to validate self-reported medical conditions in the Taiwan Biobank (TWBB), in which participants were inquired about 30 disease conditions, by comparing them with claims records from Taiwan’s National Health Insurance (NHI) claims database. Methods: We identified 30 clinical diagnoses using International Classification of Diseases - Clinical Modification codes from ambulatory and hospital claims within the NHI claims database, matching diseases included in the TWBB. The concordance between self-reports and claims records was evaluated using tetrachoric correlation to assess the correlation between binary variables. Results: A total of 131,834 participants aged 30–70 years with data from the TWBB and NHI records were included. Concordance analysis revealed tetrachoric correlations ranged from 0.420 (chronic obstructive pulmonary disease) to 0.970 (multiple sclerosis). However, several disorders exhibited lower tetrachoric correlations. The concordance was higher among those with higher education attainment, and lower among married individuals. Conclusion: The concordance between self-reports in the TWBB and NHI claims records varied across clinical diagnoses, showing inconsistencies depending on participant characteristics. These findings underscore the need for further investigation, especially when these variables are crucial to research objectives. Integrating complementary databases, such as clinical diagnoses, prescription records, and medical procedures, can enhance accuracy through customized algorithms based on disease categories and participant characteristics and optimize sensitivity or positive predictive values to align with specific research objectives.https://www.jstage.jst.go.jp/article/jea/35/3/35_JE20240110/_pdfbiobankself-reported medical conditionconcordanceclaims data |
| spellingShingle | Chi-Shin Wu Le-Yin Hsu Chen-Yang Shen Wei J. Chen Shi-Heng Wang Validation of Self-reported Medical Condition in the Taiwan Biobank Journal of Epidemiology biobank self-reported medical condition concordance claims data |
| title | Validation of Self-reported Medical Condition in the Taiwan Biobank |
| title_full | Validation of Self-reported Medical Condition in the Taiwan Biobank |
| title_fullStr | Validation of Self-reported Medical Condition in the Taiwan Biobank |
| title_full_unstemmed | Validation of Self-reported Medical Condition in the Taiwan Biobank |
| title_short | Validation of Self-reported Medical Condition in the Taiwan Biobank |
| title_sort | validation of self reported medical condition in the taiwan biobank |
| topic | biobank self-reported medical condition concordance claims data |
| url | https://www.jstage.jst.go.jp/article/jea/35/3/35_JE20240110/_pdf |
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