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Comparative effectiveness--of what?: evaluating strategies to improve population health.
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How healthy could a state be?一个州能有多健康?
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Income distribution, public services expenditures, and all cause mortality in US States.美国各州的收入分配、公共服务支出与全因死亡率
J Epidemiol Community Health. 2005 Sep;59(9):768-74. doi: 10.1136/jech.2004.030361.
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Consuming research, producing policy?进行研究,制定政策?
Am J Public Health. 2003 Mar;93(3):371-9. doi: 10.2105/ajph.93.3.371.

社区层面的财务数据是否足以评估人口健康投资?

Are community-level financial data adequate to assess population health investments?

机构信息

Madison College, Madison, Wisconsin, USA.

出版信息

Prev Chronic Dis. 2012;9:E136. doi: 10.5888/pcd9.120066.

DOI:10.5888/pcd9.120066
PMID:22877572
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3475523/
Abstract

The variation in health outcomes among communities results largely from different levels of financial and nonfinancial policy investments over time; these natural experiments should offer investment and policy guidance for a business model on population health. However, little such guidance exists. We examined the availability of data in a sample of Wisconsin counties for expenditures in selected categories of health care, public health, human services, income support, job development, and education. We found, as predicted by the National Committee on Vital and Health Statistics in 2002, that availability is often limited by the challenges of difficulty in locating useable data, a lack of resources among public agencies to upgrade information technology systems for making data more usable and accessible to the public, and a lack of enterprise-wide coordination and geographic detail in data collection efforts. These challenges must be overcome to provide policy-relevant information for optimal population health resource allocation.

摘要

社区之间的健康结果差异在很大程度上是由于不同时期金融和非金融政策投资水平的不同造成的;这些自然实验应该为人口健康的商业模式提供投资和政策指导。然而,几乎没有这样的指导。我们检查了威斯康星州各县用于特定类别的医疗保健、公共卫生、社会服务、收入支持、就业发展和教育支出的数据的可用性。正如国家生命统计委员会在 2002 年预测的那样,我们发现,由于难以找到可用数据、公共机构缺乏资源来升级信息技术系统以使数据更便于公众使用和访问以及缺乏企业范围的协调和地理细节,数据收集工作,可用性常常受到限制。必须克服这些挑战,为最佳的人口健康资源分配提供与政策相关的信息。