《测量和建模医疗成本》（EPUB）

English | ISBN: 022653085X | 2018 | EPUB | 512 pages | 30 MB

Ana Aizcorbe, Colin Baker, Ernst R. Berndt, David M. Cutler, "Measuring and Modeling Health Care Costs"

Health care costs represent a nearly 18% of U.S. gross domestic product and 20% of government spending. While there is detailed information on where these health care dollars are spent, there is much less evidence on how this spending affects health.

The research in Measuring and Modeling Health Care Costs seeks to connect our knowledge of expenditures with what we are able to measure of results, probing questions of methodology, changes in the pharmaceutical industry, and the shifting landscape of physician practice. The research in this volume investigates, for example, obesity’s effect on health care spending, the effect of generic pharmaceutical releases on the market, and the disparity between disease-based and population-based spending measures. This vast and varied volume applies a range of economic tools to the analysis of health care and health outcomes.

Practical and descriptive, this new volume in the Studies in Income and Wealth series is full of insights relevant to health policy students and specialists alike.

安纳·阿伊苏尔贝、克林·贝AKER、厄内斯特·R·伯恩德、戴维·M·库特尔，《衡量与建模医疗服务成本》 医疗服务费用占美国国内生产总值的近18%，政府支出的20%。尽管我们对这些医疗资金在何处花费有详细信息，但如何这种花费影响健康方面的证据却较少。 《衡量与建模医疗服务成本》的研究旨在将我们的支出知识与我们可以测量的结果联系起来，探讨方法论、制药行业变化以及医生实践变迁的影响。本卷研究探讨了例如肥胖症对医疗服务支出的影响、仿制药发布市场效果，以及基于疾病和基于人群的支出措施之间的差异等问题。 这部新出版的研究收入与财富系列的新书内容丰富且多样，运用各种经济工具分析医疗保健和健康结果。 这本书实用且描述性强，对所有相关领域的卫生政策学生和专家都具有重要意义。

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