Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada.
BMC Public Health. 2009 Nov 18;9 Suppl 1(Suppl 1):S8. doi: 10.1186/1471-2458-9-S1-S8.
Resource allocation models have not had a substantial impact on HIV/AIDS resource allocation decisions in spite of the important, additional insights they may provide. In this paper, we highlight six difficulties often encountered in attempts to implement such models in policy settings; these are: model complexity, data requirements, multiple stakeholders, funding issues, and political and ethical considerations. We then make recommendations as to how each of these difficulties may be overcome.
To ensure that models can inform the actual decision, modellers should understand the environment in which decision-makers operate, including full knowledge of the stakeholders' key issues and requirements. HIV/AIDS resource allocation model formulations should be contextualized and sensitive to societal concerns and decision-makers' realities. Modellers should provide the required education and training materials in order for decision-makers to be reasonably well versed in understanding the capabilities, power and limitations of the model.
This paper addresses the issue of knowledge translation from the established resource allocation modelling expertise in the academic realm to that of policymaking.
尽管资源分配模型可能提供了重要的、额外的见解,但它们对艾滋病病毒/艾滋病资源分配决策并没有产生实质性影响。在本文中,我们强调了在政策环境中尝试实施此类模型时经常遇到的六个困难;这些困难包括:模型的复杂性、数据要求、多方利益相关者、资金问题以及政治和伦理方面的考虑。然后,我们就如何克服这些困难提出了建议。
为了确保模型能够为实际决策提供信息,建模者应该了解决策者所处的环境,包括充分了解利益相关者的关键问题和要求。艾滋病病毒/艾滋病资源分配模型的制定应该具有背景和敏感性,以考虑到社会关注和决策者的实际情况。建模者应该提供所需的教育和培训材料,以使决策者能够合理地了解模型的能力、权力和局限性。
本文解决了将学术界已建立的资源分配建模专业知识转化为决策制定知识的问题。