Understanding proximal-distal economic projections of the benefits of childhood preventive interventions.
Understanding proximal-distal economic projections of the benefits of childhood preventive interventions.
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DOI：
10.1007/s11121-013-0445-z
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发表时间：
2014-12
影响因子：
3.5
通讯作者：
Becker, Kimberly D.
中科院分区：
文献类型：
--
作者：
Slade, Eric P.;Becker, Kimberly D.
本文讨论了近端-远端经济建模中涉及的步骤和决策，其中儿童的社会，行为和学术成果数据可用于预测干预措施的经济后果。基于近端-远端建模技术的经济预测可用于成本效益分析，当信息无法用于成年期的某些长期结果数据时，或用于构建整个成本效益分析。虽然在为政府机构编写的政策报告中有预防性干预措施的近端-远端经济分析的例子，但这种分析很少与研究试验一起完成。这些预测模型所依据的建模决策对决策者和其他最终用户来说往往是不透明的。本文旨在阐明构建近端-远端预测模型所涉及的一些关键步骤和考虑因素，并提供可能有助于指导未来近端-远端分析的示例和建议。
This paper discusses the steps and decisions involved in proximal-distal economic modeling, in which social, behavioral, and academic outcomes data for children may be used to inform projections of the economic consequences of interventions. Economic projections based on proximal-distal modeling techniques may be used in cost-benefit analyses when information is unavailable for certain long term outcomes data in adulthood or to build entire cost-benefit analyses. Although examples of proximal-distal economic analyses of preventive interventions exist in policy reports prepared for governmental agencies, such analyses have rarely been completed in conjunction with research trials. The modeling decisions on which these prediction models are based are often opaque to policymakers and other end-users. This paper aims to illuminate some of the key steps and considerations involved in constructing proximal-distal prediction models and to provide examples and suggestions that may help guide future proximal-distal analyses.
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