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Understanding the value of chronic disease care is critical to confronting the challenges of aging societies. In a new ebook published by the Centre for Economic Policy Research, APARC Deputy Director and Asia Health Policy Program Director Karen Eggleston provides a framework for assessing the social value of health spending.

The world population is aging faster than ever before and governments must confront the increasing burden of healthcare spending on their economies. At a time when the economics of aging is inseparable from the economics of healthcare, successful adaptations to older population age structures necessitate better understanding of the value of medical care. Policymakers, in particular, must incorporate value into considerations of healthcare cost growth, so they can determine the extent to which average health improvements offset added cost, reduce cases in which health spending rises without sufficient corresponding health outcomes, and reward those in which “we are getting what we pay for.”

A new book chapter, authored by APARC Deputy Director and Asia Health Policy Program Director Karen Eggleston, provides a framework for assessing the social value of health spending. Titled “Understanding ‘value for money’ in healthy aging,” the chapter is part of an ebook, Live Long and Prosper? The Economics of Ageing, published by the Centre for Economic Policy Research (CEPR).

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Quality-Adjusted Cost of Care

How do health economists incorporate value into measurements of health spending and how do they measure the social value of medical care? First they assume each additional year of life brings a given monetary value. Then they measure the growth in value to patients as monetized gains in “quality-adjusted life-years,” a metric that includes increases in life expectancy and quality of life. The difference between the change in health spending and the change in monetized gains on improved survival is the net change in quality-adjusted health spending or the net value of medical care.

Understanding the value of chronic disease care is especially critical in aging societies, as governments must transform their health systems to support patients who will live with chronic diseases for decades. Health benefits of medical care, however, are difficult to aggregate across disparate services and diseases, and hence focusing on management of a single important chronic disease allows researchers to develop metrics of quality improvement and value that are linked to rigorous clinical studies. Eggleston describes a recent international research collaboration, which she was part of, that did just that. The researchers studied quality adjustment for one disease of growing global prevalence, type 2 diabetes, in four different health systems: one in Europe (the Netherlands) and three in East Asia (Japan, Hong Kong, and Taiwan).

Results of the study suggest that, in each health system, the value of improved survival outweighs the increase in health spending. For example, in the case of Japan, Eggleston and her colleagues found a positive value net of $2,595 for $100,000 value of a life-year. They also compared net value across the four health systems and different patient samples, finding mean net value that ranged between $600 and $10,000 for a $100,000 value of a life-year. Moreover, net value was positive for all age groups and remains positive and significant for individuals well beyond traditional retirement ages. These results, says Eggleston, indicate “the importance of continuing investments in medical treatments and services that deliver health outcomes of commensurate or higher value.”

Policy Implications

Confronting the challenges of aging societies requires careful thinking about the value of investments in new technologies for managing chronic conditions. To promote healthy aging governments must be “resiliently persistent in measuring the value of innovations for healthy aging and rewarding those that deliver high net value,” argues Eggleston. The goal should be improving the “value for money” of medical care rather than applying largescale cost controls that might stifle important breakthroughs.

The four-system study by Eggleston and her colleagues provides a framework for developing methods for assessing quality improvement and the net value of chronic disease spending and, more broadly, for measuring the value of healthy aging.


Download Eggleston’s chapter as part of the entire ebook >>

Learn more about Dr. Karen Eggleston’s research agenda seeking to assess net value in diabetes management and to identify and analyze innovation for healthy aging.

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Event Introduction:

2019 SEG 3rd International Workshop on Mathematical Geophysics: Traditional vs Learning will be held on 5-7 November 2019. To better communicate and exchange state-of-art AI/Machine Learning technologies on business application in oil and gas field, some leading companies are sincerely invited to collaborate with us to share their most updated practice in this area on 5th of November.

“2019SEG第三届国际数学地球物理学研讨会:传统vs学习”将于11月5日-7日在北京—中关新园召开。为更好地探讨与交流人工智能与机器学习技术在油气领域商业应用方面的最新进展,会议组织方诚邀国内外知名企业于11月5日在北京大学斯坦福中心现场分享其在该领域的最新实践方法与成果。

 

Agenda:

16:30-17:00, Onsite Registration, Welcome Remarks & Introduction | 现场报到与注册,欢迎致词与介绍
17:00-17:20, Deep learning application in complex geological interpretation (by Rong Li from Schlumberger) | 深度学习在复杂地质解释中的应用 (李蓉, 斯伦贝谢)
17:20-17:25, Q & A
17:25-17:45, Intelligent Geophysical Data Processing and Interpretation: Towards AI-based Automation (by Lu Liu from Saudi Aramco-Beijing Research Center) | 智能地球物理数据处理与解释:面向基于人工智能的自动化实现 (刘璐, 沙特阿美-北京国际研发中心)
17:45-17:50, Q & A
17:50-18:00, Free Discussion
18:00-20:00, Ice Breaker for 2019 SEG 3rd International Workshop on Mathematical Geophysics: Traditional vs Learning | 2019SEG第三届国际数学地球物理研讨会:传统vs学习,破冰会

 

Registration:

【The special seminar is FREE opened to all delegates who have already or prepared to register to 2019 SEG 3rd International Workshop on Mathematical Geophysics: Traditional vs Learning】

【Non-delegates to the workshop】

SEG member: RMB100

SEG non-member: RMB150

Scan below QR Code for Registration.

该论坛对“2019SEG第三届国际数学地球物理研讨会:传统vs学习”的注册代表免费开放;非参会人员门票价格:SEG会员-100元,非SEG会员-150元。

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20191105 报名可扫描二维码
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Address: No.126 Zhongguancun North Road, Haidian District, Beijing

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