|
English
|
正體中文
|
简体中文
|
Items with full text/Total items : 12145/12927 (94%)
Visitors : 850971
Online Users : 350
|
|
|
Loading...
|
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: | [王聲昌] 會議論文/會議摘要 [蔡慧如] 會議論文/會議摘要
|
Files in This Item:
File |
Description |
Size | Format | |
ISI000342763600787.pdf | | 74Kb | Adobe PDF | 801 | View/Open |
|
All items in NHRI are protected by copyright, with all rights reserved.
|