國家衛生研究院 NHRI:Item 3990099045/5966
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/5966


    Title: Predicting healthcare utilization using a pharmacy-based metric with the WHO's anatomic therapeutic chemical algorithm
    Authors: Kuo, RN;Dong, YH;Liu, JP;Chang, CH;Shau, WY;Lai, MS
    Contributors: Division of Biostatistics and Bioinformatics
    Abstract: BACKGROUND:: Automated pharmacy claim data have been used for risk adjustment on health care utilization. However, most published pharmacy-based morbidity measures incorporate a coding algorithm that requires the medication data to be coded using the US National Drug Codes or the American Hospital Formulary Service drug codes, making studies conducted outside the US operationally cumbersome. OBJECTIVE:: This study aimed to verify that the pharmacy-based metric with the World Health Organization (WHO) Anatomical Therapeutic Chemical (ATC) algorithm can be used to explain the variations in health care utilization. RESEARCH DESIGN:: The Longitudinal Health Insurance Database of Taiwan's National Health Insurance enrollees was used in this study. We chose 2006 as the baseline year to predict the total cost, medication cost, and the number of outpatient visits in 2007. The pharmacy-based metric with 32 classes of chronic conditions was modified from a revised version of the Chronic Disease Score. RESULTS:: The ordinary least squares (OLS) model and log-transformed OLS model adjusted for the pharmacy-based metric had a better R in concurrently predicting total cost compared with the model adjusted for Deyo's Charlson Comorbidity Index and Elixhauser's Index. The pharmacy-based metric models also provided a superior performance in predicting medication cost and number of outpatient visits. For prospectively predicting health care utilization, the pharmacy-based metric models also performed better than the models adjusted by the diagnosis-based indices. CONCLUSIONS:: The pharmacy-based metric with the WHO ATC algorithm and the matching ATC codes were tested and found to be valid for explaining the variation in health care utilization.
    Date: 2011-11
    Relation: Medical care. 2011 Nov;49(11):1031-1039.
    Link to: http://dx.doi.org/10.1097/MLR.0b013e31822ebe11
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0025-7079&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000296540400011
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=80054963459
    Appears in Collections:[Jen-Pei Liu(1998-2002)] Periodical Articles

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