國家衛生研究院 NHRI:Item 3990099045/8371

NHRI > Center for Neuropsychiatric Research > Sheng-Chang Wang > Conference Papers/Meeting Abstract > Item 3990099045/8371

Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/8371

Title:	Validation of clinical diagnoses, medication use, and health system utilization in Taiwan's National Health Insurance Research Database
Authors:	Wu, CS;Lai, MS;Gau, SSF;Wang, SC;Tsai, HJ
Contributors:	Center for Neuropsychiatric Research;Division of Biostatistics and Bioinformatics
Abstract:	Background: Taiwan ’ s National Health Insurance Research Database (NHIRD) is one of the largest available claims database; however, the validity of the claims records in the NHIRD is still under investigation. Objectives: To evaluate the validity of claims records for clinical diagnoses, medication use, and health system utilization in the National Health Insurance Research Database (NHIRD). Methods: Design: The 2005 Taiwan National Health Interview Survey (NHIS), which is a nationwide cross-sectional survey investigating the health status of non-institutionalized residents in Taiwan Setting: A total of 15,574 participants aged 12 and above and consented to linkage with the data of Taiwan ’ s NHIRD for research purposes were enrolled. Main outcome measures: The self-reports in clinical diagnoses, medication use, and health system utilization were used to validate the accuracy of claims records in the in the NHIRD. Statistic analysis: We used Cohen ’ s kappa statistics and prevalence-adjusted bias-adjusted kappa to examine the concordance between claims records and patient self-reports. In addition, we used the self-report as the reference standard to test the sensitivity, speciﬁ city, positive predictive value, and negative predictive value of claims records.Results: We found the overall concordance of the kappa statistics was moderate for clinical diagnosis and substantial for medication use and health system utilization. The prevalence-adjusted bias-adjusted kappa for all conditions was substantial to almost perfect. Using a strict algorithm to identify the clinical diagnoses of claims records could improve the prevalence-adjusted bias-adjusted kappa, speciﬁcity and positive predictive value. Conclusions: The concordance between the claims records and self-report survey results was moderate in clinical diagnoses, and substantial in medication use and health system utilization.
Date:	2014-10
Relation:	Pharmacoepidemiology and Drug Safety. 2014 Oct;23(S1):426.
Link to:	http://dx.doi.org/10.1002/pds.3701
JIF/Ranking 2023:	http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1053-8569&DestApp=IC2JCR
Cited Times(WOS):	https://www.webofscience.com/wos/woscc/full-record/WOS:000342763600787
Appears in Collections:	[Sheng-Chang Wang] Conference Papers/Meeting Abstract [Hui-Ju Tsai] Conference Papers/Meeting Abstract

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