Modeling Good Research Practices-Overview: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-1

被引:375
作者
Caro, J. Jaime [1 ,2 ]
Briggs, Andrew H. [3 ]
Siebert, Uwe [4 ,5 ,6 ,7 ]
Kuntz, Karen M. [8 ]
机构
[1] McGill Univ, Fac Med, Montreal, PQ, Canada
[2] United BioSource Corp, Lexington, MA 02420 USA
[3] Univ Glasgow, Inst Hlth & Wellbeing, Glasgow G12 8QQ, Lanark, Scotland
[4] UMIT Univ Hlth Sci Med Informat & Technol, Hall In Tirol, Austria
[5] Oncotyrol Ctr Personalized Canc Med, Innsbruck, Austria
[6] Harvard Univ, Sch Publ Hlth, Boston, MA 02115 USA
[7] Harvard Univ, Sch Med, Boston, MA USA
[8] Univ Minnesota, Sch Publ Hlth, Minneapolis, MN USA
关键词
modeling; methods; guidelines; good practice; HEALTH TECHNOLOGY-ASSESSMENT; DISCRETE-EVENT SIMULATION; ECONOMIC-EVALUATION; DECISION; UNCERTAINTY;
D O I
10.1177/0272989X12454577
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
100404 [儿少卫生与妇幼保健学];
摘要
Models-mathematical frameworks that facilitate estimation of the consequences of health care decisions-have become essential tools for health technology assessment. Evolution of the methods since the first ISPOR modeling task force reported in 2003 has led to a new task force, jointly convened with the Society for Medical Decision Making, and this series of seven papers presents the updated recommendations for best practices in conceptualizing models; implementing state-transition approaches, discrete event simulations, or dynamic transmission models; dealing with uncertainty; and validating and reporting models transparently. This overview introduces the work of the task force, provides all the recommendations, and discusses some quandaries that require further elucidation. The audience for these papers includes those who build models, stakeholders who utilize their results, and, indeed, anyone concerned with the use of models to support decision making.
引用
收藏
页码:667 / 677
页数:11
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