ASIA unversity:Item 310904400/115332
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 94286/110023 (86%)
造访人次 : 21710093      在线人数 : 490
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://asiair.asia.edu.tw/ir/handle/310904400/115332


    题名: Validation of coding algorithms for identifying people with viral hepatitis using claims data according to diferent standard references
    作者: She, Ming Jen;Sheu, Ming Jen;Ch, Tsung Wei;Chin, Tsung Wei;Ku, Fang Ping;Ku, Fang Ping;李中一;LI, CHUNG-YI;Li, Sheng Tun;Li, Sheng Tun;Hsueh, Tsung;Lu, Tsung Hsueh
    贡献者: 醫學暨健康學院健康產業管理學系
    关键词: Algorithms;Claims data;Hepatitis B virus;Hepatitis C virus;International Classification of Disease (ICD);Validation study.
    日期: 2022-03-01
    上传时间: 2023-03-29 01:29:32 (UTC+0)
    出版者: 亞洲大學
    摘要: Background: To assess the performance of various coding algorithms for identifying people with hepatitis B virus (HBV) and hepatitis C virus (HCV) using claims data according to different reference standards (RSs) and study periods (SPs).

    Methods: A proportional random sampling of 10,000 patients aged ? 20 years in a health care system in Southern Taiwan were enrolled as study participants. We used three hierarchical RSs (RS1: having positive results of laboratory tests; R2: having RS1 or having prescriptions of anti-HBV or anti-HCV medications; R3: having R1 or R2 or having textual diagnosis recorded in electrical medical records) with three SPs (4-, 8-, and 12-years) to calculate positive predictive value (PPV) and sensitivity (Sen) of 6 coding algorithms using HBV- and HCV-related International Classification of Disease Tenth Revision Clinical Modification (ICD-10-CM) codes in Taiwan National Health Insurance claims data for years 2016-2019.

    Results: Of 10,000 enrolled participants, the number of participants had confirmed HBV and HCV was 146 and 165, respectively according to RS1 with 4-years SP and increased to 729 and 525, respectively according to RS3 with 12-years SP. For both HBV and HCV, the PPV was lowest according to RS1 and highest according to RS3. The longer the SP, the higher the PPV. However, the Sen was highest according to RS2 with 4-years SP. For both HBV and HCV, the coding algorithm with highest PPV and Sen was " ? 3 outpatient codes" and " ? 2 outpatient or ? 1 inpatients codes," respectively.

    Conclusions: In conclusion, using different RSs with different SPs would result in different estimation of PPV and Sen. To achieve the best yield of both PPV and Sen, the optimal coding algorithm is " ? 2 outpatients or ? 1 inpatients codes" for identifying people with HBV or HCV.
    显示于类别:[健康產業管理學系] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML185检视/开启


    在ASIAIR中所有的数据项都受到原著作权保护.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈