Blewett Lynn A, Davern Michael
University of Minnesota, USA.
J Health Polit Policy Law. 2007 Jun;32(3):415-55. doi: 10.1215/03616878-2007-010.
The development of formulas to distribute federal funds to states based on demographic data continues to challenge data and policy analysts. Analysts must forward the best objective statistical analysis and data inputs to formula specifications while acknowledging the politics of the legislative process that authorizes federal funding formulas. This article evaluates the federal funding formula for the State Children's Health Insurance Program (SCHIP) using key formula components of need, effort, capacity, and performance. We also examine the operationalization and measure of the target population in the SCHIP funding formula. Legislative decisions on formulas are, by nature, based on compromises that balance competing policy objectives. The analyst's role is to continually review current research standards, data quality, and relevant formula inputs and make recommendations to refine federal funding formulas to better target resources to their intended populations.
基于人口数据向各州分配联邦资金的公式制定工作，持续给数据和政策分析师带来挑战。分析师必须在承认授权联邦资金公式的立法程序存在政治因素的同时，将最佳的客观统计分析和数据输入提供给公式规范。本文运用需求、努力程度、能力和绩效等关键公式要素，对儿童健康保险计划（SCHIP）的联邦资金公式进行评估。我们还研究了SCHIP资金公式中目标人群的操作化定义和衡量标准。公式方面的立法决策本质上基于平衡相互竞争的政策目标的妥协。分析师的职责是持续审视当前的研究标准、数据质量及相关公式输入，并提出改进联邦资金公式的建议，以便更好地将资源投向目标人群。
