The generation of two specific cancer costing algorithms using Ontario administrative databases

被引：7
|
作者：
Mittmann, N. [1 ,2 ]
Cheng, S. Y. [3 ]
Liu, N. [3 ]
Seung, S. J. [4 ]
Saxena, F. E. [3 ]
DeAngelis, C. [5 ]
Hong, N. J. Look [5 ]
Earle, C. C. [1 ,3 ,5 ]
Cheung, M. C. [5 ]
Leighl, N. [6 ]
Coburn, N. [3 ,5 ]
Evans, W. K. [7 ]
机构：
[1] Sunnybrook Hlth Sci Ctr, Sunnybrook Res Inst, 2075 Bayview Ave,E240, Toronto, ON M4N 3M5, Canada
[2] Canc Care Ontario, Toronto, ON, Canada
[3] ICES, Toronto, ON, Canada
[4] HOPE Res Ctr, Toronto, ON, Canada
[5] Sunnybrook Hlth Sci Ctr, Odette Canc Ctr, Toronto, ON, Canada
[6] Univ Hlth Network, Toronto, ON, Canada
[7] McMaster Univ, Hamilton, ON, Canada
来源：
CURRENT ONCOLOGY | 2019年 / 26卷 / 05期
关键词：
Costing algorithms; STAGE; CARE; USERS;
D O I：
10.3747/co.26.5279
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
Cancer treatment and management have become increasingly economically burdensome. Consequently, to help with planning health service delivery, it is vital to understand the associated costs. Administrative databases can be used to help understand and generate real-world system-level costs. Using databases to generate costs can take one of two approaches: top-down or bottom-up. Top-down approaches disaggregate the total health care spending from a global health care budget by sector and provider. A bottom-up approach begins with individual-level health care use and its costs, which are then aggregated.
引用
收藏
页码：E682 / E692
页数：11
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