Estimating Resource Utilization in Congenital Heart Surgery.
Estimating Resource Utilization in Congenital Heart Surgery.
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DOI:
10.1016/j.athoracsur.2020.01.013
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发表时间:
2020-09
期刊:
影响因子:
--
通讯作者:
Jacobs JP
中科院分区:
文献类型:
--
作者:
Pasquali SK;Chiswell K;Hall M;Thibault D;Romano JC;Gaynor JW;Shahian DM;Jacobs ML;Gaies MG;O'Brien SM;Norton EC;Hill KD;Cowper PA;Pinto NM;Shah SS;Mayer JE;Jacobs JP
Optimal methods to assess resource utilization in congenital heart surgery remain unclear. We compared traditional cost-to-charge ratio methods with newer standardized cost methods which aim to more directly assess resources consumed. Clinical data from the STS Database were linked with resource use data from the Pediatric Health Information Systems Database (2010–2015). Standardized cost methods specific to the congenital heart surgery population were developed and compared to cost-to-charge ratio methods. Resource use in the overall population and variability across hospitals were described using hierarchical mixed effect models adjusting for case-mix. Overall 43 hospitals (65,331 patients) were included. There were minimal population-level differences in the distribution of resource use as estimated by the two methods. At the hospital-level, there was less apparent variability in resource use across centers with the standardized cost vs. cost-to-charge ratio method, overall (coefficient of variation 20% vs. 25%) and across complexity (STAT) categories. When hospitals were categorized into tertiles by resource use, 33% changed classification depending on which resource use method was used (26% by one tertile and 7% by two tertiles). In this first evaluation of standardized cost methodology in the congenital heart population, we found minimal differences vs. traditional methods at the population-level. At the hospital-level, the magnitude of variation in resource use was less with standardized cost methods and ~1/3 of centers changed resource use categories depending on the methodology used. Because of these differences, care should be taken in future studies and benchmarking/reporting efforts in selecting optimal methodology.
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