https://scholars.lib.ntu.edu.tw/handle/123456789/520493
標題: | Concordance between patient self-reports and claims data on clinical diagnoses, medication use, and health system utilization in Taiwan | 作者: | CHI-SHIN WU Lai M.-S. SUSAN SHUR-FEN GAU Wang S.-C. Tsai H.-J. |
公開日期: | 2014 | 卷: | 9 | 期: | 12 | 起(迄)頁: | e112257 | 來源出版物: | PLoS ONE | 摘要: | Purpose: The aim of this study was to evaluate the concordance between claims records in the National Health Insurance Research Database and patient selfreports on clinical diagnoses, medication use, and health system utilization. Methods: In this study, we used the data of 15,574 participants collected from the 2005 Taiwan National Health Interview Survey. We assessed positive agreement, negative agreement, and Cohen's kappa statistics to examine the concordance between claims records and patient self-reports. Results: Kappa values were 0.43, 0.64, and 0.61 for clinical diagnoses, medication use, and health system utilization, respectively. Using a strict algorithm to identify the clinical diagnoses recorded in claims records could improve the negative agreement; however, the effect on positive agreement and kappa was diverse across various conditions. Conclusion: We found that the overall concordance between claims records in the National Health Insurance Research Database and patient self-reports in the Taiwan National Health Interview Survey was moderate for clinical diagnosis and substantial for both medication use and health system utilization. ? 2014 Wu et al. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84914689914&doi=10.1371%2fjournal.pone.0112257&partnerID=40&md5=bd653967d7154a41b9b378147b5b2c21 https://scholars.lib.ntu.edu.tw/handle/123456789/520493 |
ISSN: | 1932-6203 | DOI: | 10.1371/journal.pone.0112257 | SDG/關鍵字: | adolescent; adult; algorithm; Article; child; controlled study; data analysis; data base; diabetes mellitus; diagnosis; drug use; dyslipidemia; female; health care system; health care utilization; health survey; human; hypertension; interview; kappa statistics; major clinical study; male; medical record review; medical research; mental disease; national health insurance; obesity; school child; self report; sex difference; Taiwan; urbanization; aged; automation; cross-sectional study; drug therapy; health insurance; health services research; hospitalization; insurance; middle aged; public health; questionnaire; reproducibility; statistical model; statistics and numerical data; young adult; Adolescent; Adult; Aged; Algorithms; Automation; Child; Cross-Sectional Studies; Drug Therapy; Female; Health Services Research; Hospitalization; Humans; Insurance Claim Review; Insurance, Health; Male; Middle Aged; Models, Statistical; National Health Programs; Reproducibility of Results; Self Report; Surveys and Questionnaires; Taiwan; Young Adult |
顯示於: | 流行病學與預防醫學研究所 |
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