Development of a Charge Adjustment Model for Cardiac Catheterization

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• 作者：Andrew Brennan ; Kimberlee Gauvreau ; Jean Connor ; Cheryl O’Connell…
• 关键词：Resource utilization ; RVU ; Congenital heart disease ; Catheterization ; Outcomes
• 刊名：Pediatric Cardiology
• 出版年：2015
• 出版时间：February 2015
• 年：2015
• 卷：36
• 期：2
• 页码：264-273
• 全文大小：255 KB
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• 刊物类别：Medicine
• 刊物主题：Medicine & Public Healthr>Cardiologyr>Cardiac Surgeryr>Vascular Surgeryr>
• 出版者：Springer New York
• ISSN：1432-1971

文摘

A methodology that would allow for comparison of charges across institutions has not been developed for catheterization in congenital heart disease. A single institution catheterization database with prospectively collected case characteristics was linked to hospital charges related and limited to an episode of care in the catheterization laboratory for fiscal years 2008-010. Catheterization charge categories (CCC) were developed to group types of catheterization procedures using a combination of empiric data and expert consensus. A multivariable model with outcome charges was created using CCC and additional patient and procedural characteristics. In 3 fiscal years, 3,839 cases were available for analysis. Forty catheterization procedure types were categorized into 7 CCC yielding a grouper variable with an R 2 explanatory value of 72.6?%. In the final CCC, the largest proportion of cases was in CCC 2 (34?%), which included diagnostic cases without intervention. Biopsy cases were isolated in CCC 1 (12?%), and percutaneous pulmonary valve placement alone made up CCC 7 (2?%). The final model included CCC, number of interventions, and cardiac diagnosis (R 2?=?74.2?%). Additionally, current financial metrics such as APR-DRG severity of illness and case mix index demonstrated a lack of correlation with CCC. We have developed a catheterization procedure type financial grouper that accounts for the diverse case population encountered in catheterization for congenital heart disease. CCC and our multivariable model could be used to understand financial characteristics of a population at a single point in time, longitudinally, and to compare populations.