Measuring progress in Healthy People 2010.

K. Keppel, J. Pearcy, Richard J. T. Klein
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引用次数: 88

Abstract

Background--Healthy People 2010 (HP2010) objectives are based on two overarching goals: 1) to increase years and quality of healthy life, and 2) to eliminate disparities among subgroups of the population. Four hundred and sixty-seven specific objectives consistent with these goals were outlined, baseline data were identified when available, and specific targets were set for the year 2010. This report discusses the techniques that are being used to measure progress toward these two goals. Process--In order to promote consistency in monitoring across different objectives, a minimum template of subgroups was adopted for the population-based objectives in HP2010. A workgroup of individuals representing the U.S. Department of Health and Human Services agencies involved in HP2010 was convened to consider the issues related to monitoring progress toward the two goals of HP2010. The workgroup concurred with the recommendations in this report. Recommendations--Progress toward target attainment can be monitored for all objectives with at least one data point beyond the baseline. For those objectives that are based on data for a population, progress toward target attainment can also be measured for subgroups of the population. Progress toward the elimination of disparity for individual population subgroups can be measured in terms of the percent difference between each subgroup rate and the most favorable or "best" subgroup rate in each domain. For purposes of measuring disparity relative to the "best" subgroup rate, all measures are expressed in terms of adverse events.
衡量2010年《健康人》的进展。
背景——健康人群2010 (HP2010)的目标基于两个总体目标:1)增加健康生活的年数和质量,2)消除人口亚群体之间的差距。概述了与这些目标相一致的467项具体目标,确定了可获得的基线数据,并为2010年制定了具体目标。本报告讨论了用于衡量实现这两个目标的进展的技术。过程——为了促进不同目标之间监测的一致性,HP2010中基于人群的目标采用了最小子组模板。代表参与HP2010的美国卫生与公众服务部门的个人工作组召开会议,审议与监测HP2010两个目标的进展有关的问题。工作组同意本报告中的建议。建议——可以用至少一个超出基线的数据点来监测所有目标的实现进展情况。对于那些以人口数据为基础的目标,也可以对人口的子群体衡量实现目标的进展情况。消除个体人口子组差异的进展可以根据每个子组比率与每个领域中最有利或“最佳”子组比率之间的百分比差异来衡量。为了测量相对于“最佳”亚组率的差异,所有的测量都用不良事件来表示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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