Morton Alec
Department of Management Science, University of Strathclyde Business School, Glasgow, UK.
Value Health. 2017 Mar;20(3):512-515. doi: 10.1016/j.jval.2016.10.005. Epub 2016 Dec 20.
Multicriteria decision analysis (MCDA) is rightly receiving increasing attention in health technology assessment. Nevertheless, a distinguishing feature of the health domain is that technologies must actually improve health, and good performance on other criteria cannot compensate for failure to do so. We argue for two reasonable tests for MCDA models: the treacle test (can a winning intervention be incompletely ineffective?) and the smallpox test (can a winning intervention be for a disease that no one suffers from?). We explore why models might fail such tests (as the models of some existing published studies would do) and offer some suggestions as to how practice should be improved.
多标准决策分析(MCDA)在卫生技术评估中受到越来越多的关注,这是合理的。然而,卫生领域的一个显著特点是,技术必须真正改善健康状况,在其他标准上表现良好并不能弥补未能做到这一点的缺陷。我们主张对MCDA模型进行两项合理的检验:糖蜜检验(获胜的干预措施会完全无效吗?)和天花检验(获胜的干预措施是针对一种无人患有的疾病吗?)。我们探讨了模型可能无法通过此类检验的原因(正如一些已发表的现有研究模型那样),并就如何改进实践提出了一些建议。