Jointly with partners throughout Asia, the Asia Health Policy Program (AHPP) at Shorenstein APARC has developed comparative research on health care use, medical spending, and clinical outcomes for patients with diabetes in the region and other parts of the world as a lens for understanding the economics of chronic disease management. Karen Eggleston, AHPP director and APARC deputy director, recently traveled to South Korea, where she led three project-related events.

On November 29, a workshop on Net Value Diabetes Management was held at Seoul National University (SNU) School of Medicine. This was the third such workshop convened through the project, following two previous ones held in Beijing at the Stanford Center at Peking University. Another workshop, on diabetes modeling, hosted by the Mt. Hood Diabetes Challenge Network, was held at Chung Ang University on December 1. Finally, on December 5, Eggleston held an information session, titled Comparative Economics Research on Diabetes, during the 2019 International Diabetes Federation (IDF) at BEXCO in Busan. These events were also made available through video conferencing to enable remote participation by collaborators who were unable to travel to Korea.

[Learn more about AHPP’s Net Value in Diabetes Management research project]

Diabetes Net Value Workshop

The workshop brought together team members from multiple health systems — including South Korea, Japan, Taiwan, Hong Kong, Thailand, India, the Netherlands, and the United States — to discuss comparative research on the economics of diabetes control. Eggleston shared the results of a study outlined in a working paper on the net value of diabetes management in Japan, the Netherlands, Taiwan, and Hong Kong. This research is part of a broader series of studies aimed to help address the policy challenge of finding the best strategies to improve health through cost effective prevention and healthcare productivity in chronic disease management.

The key to this research was to measure changes in quality or health outcomes over time by predicting mortality risk using blood pressure, blood sugar, and other factors amenable to patient and provider control and improvement (controlling for age and duration of diabetes diagnosis). The research seeks to understand how we can control cost and eliminate waste without cutting out the things that are valuable and improving people’s quality of life. Further studies probe determinants of relative net value of a pay-for-performance program in Taiwan, adherence to medications and vertical integration in Japan, and net value based on a randomized controlled trial in India.

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Young Kyung Do of SNU reported that according to his evaluation project for diabetes care, the quality of care and treatment in South Korea has improved and is similar to Hong Kong and Singapore. The goal of the program is to provide more comprehensive care to diabetes patients.

Talitha Feestra of the Netherlands net value team presented her proposal for joint research to develop new prediction models for specific populations as a core component of health economics decision models in Diabetes. Feestra will take the lead to develop the plan and time frame for the continuation of this research in 2020.

Several additional comparative studies were proposed and discussed. Participants who attended the workshop and contributed to discussion included Junfeng Wang from the Netherlands net value team; Jianchao Quan and Carmen Ng from Hong Kong University; Daejung Kim from the Korea Institute for Health and Social Affairs (KIHASA); Taehoon Lee, Eun Sil Yoon, and Hongsoo Kim from SNU; Piya Hanvoravongchai from Chulalongkorn University; and Gregory Ang from National University of Singapore. Remote participants included Vismanathan Baskar from Madras Diabetes Research Foundation; Wasin Laohavinij from Chulalongkorn University (visiting Stanford University autumn quarter); and Rachel Lu from Chang Gung University.

Mt. Hood Diabetes Challenge Workshop on Diabetes Modeling

Philip Clarke from the Health Economics Research Center, University of Oxford, presented the history of insulin as a cure for diabetes and discussed in detail methods for economic modeling of diabetes, including quality of life and diabetes cost, drawing from his rich experience developing the UK Prospective Diabetes Study outcomes model. The second presenter was Andrew Palmer of University of Tasmania, Australia. His presentation included many additional economic modeling pointers, especially regarding drawing in the literature for building models.

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We are grateful to Professors Clarke and Palmer for graciously allowing the AHPP network researchers to join the workshop both in person and remotely, adding to their chronic disease modeling skills, and for inviting Karen Eggleston to present a keynote at the Mt Hood conference that took place before the modeling workshop.

Information Session: Comparative Economics Research on Diabetes

The third and final component of the diabetes research events was held on December 5 as part of the International Diabetes Federation congress in Busan, Korea, and presented the network to clinicians and public health researchers. Participants from China, India, and Australia attended. They shared updates on their individual projects and discussed methods and ideas for future collaboration.

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.

Type 2 diabetes has become a major public health problem in South Asia in recent decades. The region is now home to an estimated 84 million people suffering from diabetes—approximately one-fifth of the world’s 451 million adults with diabetes—a number that is expected to rise by 78% by 2045. Even more concerning, across South Asia the disease burden increasingly occurs in the most productive midlife period. Among Indians, for example, diabetes is estimated to occur on average 10 years earlier than their western counterparts, and almost half of Indian patients with type 2 diabetes are diagnosed before age 40.

How do South Asian health system influence diabetes care? What is the magnitude of the economic impact of diabetes in South Asia? And what can be done to mitigate that economic burden? These are some of the questions that a team of researchers, including Karen Eggleston, APARC’s deputy director and director of the Asia Health Policy Program, set out to answer in a new study published in the journal Current Diabetes Reports.

Eggleston co-authored the study with Kavita Singh of the Public Health Foundation of India and the Centre for Chronic Disease Control in New Delhi, and with M. Venkat Narayan, Professor of Medicine and Epidemiology and Director of the Global Diabetes Research Center at Emory University. They find that diabetes-related complications lead to enormous treatment costs, causing catastrophic medical spending and illness-induced poverty for many households.

The new study is related to a broader research project led by Eggleston, entitled Net Value in Diabetes Management, that compares health care use, medical spending, and clinical outcomes for patients with diabetes as a lens for understanding the economics of caring for patients with complicated chronic diseases across diverse health systems. This international collaborative research convenes teams of clinicians and health economists in ten countries (and growing) across Asia, as well as the United States and The Netherlands. Together, they analyze big data—detailed, longitudinal patient-level information for large samples from each country, including millions of records of clinical encounters, health-check-up, and medical spending—to compare the health care use and patient outcomes for adults with type 2 diabetes in their health systems.

In the new publication, Eggleston and her co-authors first introduce several unique features that characterize the type 2 diabetes epidemic in South Asia. These include a high risk of developing diabetes even at lower levels of body mass index than observed among western populations; a high prevalence of glucose intolerance, low levels of HDL cholesterol, and high levels of triglycerides; a relationship between impaired fetal nutrition, diabetes, and cardiovascular risk; and the likelihood of rapid urbanization impacting the diabetes burden of the wealthy and the underprivileged differently.

Furthermore, South Asian countries face difficult challenges in delivering diabetes care. The health sector in the region has little organized financing, leading to heavy out-of-pocket spending by patients. Limited availability and affordability of anti-diabetic drugs is a major driver of lower use of such medicines. These factors, combined with a general lack of health care professionals and infrastructural resources and low quality of healthcare governance, all contribute to poor health outcomes.

Eggleston and her co-authors assess the current literature on the economic impact of diabetes in South Asia. They show that, compared with the high prevalence of diabetes in South Asian countries, the total health spending as a percentage of GDP in the region has remained low and fairly constant (3-4% in most countries) over the last two decades, with less than 1% of GDP spent on healthcare by the government, and a miniscule 0.2% by pre-paid private insurance, resulting in a large proportion of out-of-pocket healthcare spending. The financial burden of diabetes and its complications can therefore have catastrophic implications for households that are often driven to sacrifice disastrous proportions of their income to cover treatment costs.

Diabetes causes premature mortality, high morbidity, and disability. To mitigate the economic and social welfare burden of the disease, the researchers conclude, policymakers in South Asia must take urgent action “to increase investment in evaluating cost-effective strategies to manage diabetes and preventative approaches.” The team offers a set of policy recommendations, including monitoring the economic burden of diabetes and the quality of care; focusing on the screening and prevention of diabetes and its risk factors; strengthening government health facilities and primary care services; expanding access to affordable, essential medicines, and more.

In the summer of 2018, the Asia Health Policy Program (AHPP) at the Shorenstein Asia-Pacific Research Center (co)hosted two conferences in Beijing. From June 25-26, AHPP hosted “Healthy Aging and Chronic Disease Management in China and India in International Comparison” at the Stanford Center at Peking University in Beijing. Immediately following the event, June 26-27 AHPP cohosted, along with Professor Fang Hai, Peking University China Center for Health Development Studies, the “Fourth Annual Conference on Primary Care and China’s Health System Reform”, focused this year on China’s family doctor system.

Healthy Aging and Chronic Disease

Day one of the Healthy Aging and Chronic Disease Management conference combined discussions of chronic disease control in India and China (part of an ongoing SCPKU Team Innovation faculty fellowship) with a workshop focused on assessing net value of diabetes management across Asia.

Research teams from Hong Kong, South Korea, India, Taiwan, and the United States convened to discuss research on net value analysis of diabetes in their respective countries. The Net Value in Diabetes Management project seeks to develop a method for measuring net value of diabetes internationally­–based on previous methods discussed in an 2009 study by Karen Eggleston and Joseph Newhouse with data from the Mayo Clinic for Type 2 Diabetes.

The research teams provided updates to their calculations from the gathering last year and explained the strengths and weaknesses of their data sets, the risk prediction model they employed or created for their specific population, and the cost effectiveness analyses conducted with their data.

Participants included Kavita Singh from the Public Health Foundation of India, Janet Lam from Hong Kong University, Hongsoo Kim and Wankyo Chung from Seoul National University, Rachel Lu and Ying Isabel Chen of Chang Gung University Taiwan, and Kyueun Lee and Karen Eggleston of Stanford University.

Non-communicable/Chronic Disease Control

The afternoon of day one featured presentations by various representatives from provincial and national-level Centers for Disease Control and Prevention (CDC) in China regarding non-communicable disease (NCD) control initiatives.

Dong Jianqun from the People’s Republic of China CDC presented the “Effect of Community-Based 5+1 staged diabetes management.” This research project–fielded in sites in three different provinces–involved staged diabetes targeting management. Results showed that examination rates for complications management increased. Fang Le from the Zhejiang Provincial CDC presented updates on community management of NCDs in Zhejiang, including the intensive follow-up system for high risk diabetes patients. Representatives from Shandong University and the Shandong CDC, including Dr. WANG Yan, presented “The Status, Problems, and Determinants of community management and control of diabetes in Shandong Province” while also discussing current policy and implementation.

The afternoon ended in a session comparing health care systems and ongoing initiatives for chronic disease control in China and India. Kavita Singh discussed issues in India’s health system, including high out of pocket expenditure, over-privatization, and large health inequities across states and between urban and rural areas. Singh introduced existing innovations being used, including smartphone-based decision support software in heart disease monitoring. Dong Jianqun and colleagues discussed NCD control in China, including the demonstration areas that have integrated initiatives including better surveillance and management of diabetes and hypertension, and prevention education.

The first conference closed the next morning by bringing together representatives from various Chinese organizations to discuss the current state of primary care, family doctor system, and health care reform within the country. During a highly immersive classroom session for the Diabetes Net Value Teams, Dr. Sanjay Basu shared insights regarding best practices in predictive risk modeling.

China’s Family Doctor System

Beginning the afternoon of June 26, the second conference was devoted to China’s family doctor system, primary care, and health care reforms.  The event opened with remarks from Zhuang Ning, Deputy Director of the State Department of Health, System Reform Department, about the importance of community health and greater recognition of primary health providers in China.

The director’s remarks were followed by an opening keynote address by Professor MENG Qingyue, Dean of the Peking University School of Public Health and Director of the China Center for Health Development Studies at Peking University. Professor Meng reflected on the role of primary care in the development of China’s health system. Qin Jiangmei, Director of the Community Health Research Center, National Health and Family Planning Commission Health Development Research Center, next introduced the necessity of comprehensive health reform in China as well as funding challenges.

Afterwards, representatives from the Beijing Dongcheng district, Shanghai Changning district,  Xiamen City, and Shenzhen Luohu Hospital Group shared their experiences constructing family doctor systems within their respective regions. Important points stressed by the presenters included consolidation, maintaining a good evaluation system, and establishing trust with their patients.

The day ended with a Primary Medical Care Roundtable Discussion featuring four directors of district-level community health centers. The panelists answered questions concerning the future model of primary care in China, as well as changes they would like to see at the community and policy levels. The district directors advocated that more funds be allocated to general practitioners, believing that they will be the dominant form of primary care in China. Participants also spoke of the additional need for clearer targets to ensure that primary care providers are better funded (so that, with enough time, patients will begin to recognize the importance of the family physician).

The second conference concluded on June 27 by way of a highly engaging classroom session on the continuing collaboration between the Zhejiang Provincial CDC and Stanford University Asia Health Policy Program.

Emily Tuong-Vi Nguyen, a Stanford student studying human biology, writes about the Asia Health Policy Program’s international conference on diabetes

The Asia Health Policy Program at the Shorenstein Asia-Pacific Research Center hosted the Net Value in Diabetes Management Workshop in March to discuss progress on an international research collaboration. Research teams from Hong Kong, Singapore, China, Taiwan, South Korea and the United States convened at the Stanford Center at Peking University (SCPKU) in Beijing to work on research that compares utilization and spending patterns on diabetes across different countries and to develop a method for measuring the net value of diabetes internationally, based on previous methods discussed in a Eggleston and Newhouse et al. 2009 study with Mayo Clinic Data for Type 2 diabetes.

The research teams from various Asian countries are attempting to calculate the net value of diabetes in those countries by observing the changes in diabetes value and spending. These calculations include monetizing the value of health benefits of new treatments and improvements in health, as well as avoided spending on treatments when prevention was effective, and associated mortality and probability of survival. Previous models used to measure diabetic values and risks, such as the United Kingdom Prospective Diabetes Study (UKPDS) risk engine that was created from U.K. data and populations, are not very relevant for Asian populations. The goal is to create separate risk models specifically suited for populations from Hong Kong, Singapore, China, Taiwan and South Korea.

During the workshop that spanned two days, the research teams had an opportunity to share updates on their individual projects and to discuss methods and ideas for future collaboration.

On the first day, each research team presented its work, describing data sets and explaining the risk models that were used or developed. Karen Eggleston, director of the Asia Health Policy Program, delivered introductory remarks and shared current progress by the Japan and Netherlands research teams on calculating value and risk for diabetes with data from the Netherlands and Japan. The data sets from those two countries were best estimated by the JJ Risk Engine for the Japan data and the UKPDS model for the Netherlands data.

Chao Quan of the University of Hong Kong presented the risk model used for Hong Kong populations. His work primarily looked at how the UKPDS risk engine predicted risk in Hong Kong populations as compared to a local Hong Kong risk engine and how to best calibrate the Hong Kong risk engine. His next step will be to monetize the value for improved survival in diabetes in Hong Kong. He offered to re-estimate the model using the risk factors available on others’ datasets so that the Hong Kong risk model could potentially be used by other teams as well.

Stefan Ma and Zheng Li Yau of the Ministry of Health of Singapore discussed the 5-year prediction model and statistical methods they used for all-cause mortality of Singaporean individuals with diabetes. Their work is based on Singapore’s extensive administrative and claims data as well as data provided by the national health surveys conducted every six years by the National Health Service of Singapore. The researchers plan to look into how their overall risk model compares with models for specific subpopulations, such as Chinese, Malay and Indian populations in Singapore.

Katherine Hastings from the Stanford University team, led by principal investigator Latha Palaniappan, presented preliminary ideas about measuring cardiovascular risk with the Atherosclerotic Cardiovascular Disease Risk Score in analyses of Stanford health system diabetic patients. The researchers are collaborating with a clinical bioinformatics team at Stanford to use machine learning to expedite the analysis.

Min Yu and Haibin Wu of the Zhejiang Center for Disease Control and Prevention shared results from their analysis of health data collected from community health centers for diabetes management, diabetes surveillance data, cause of death data and insurance claims data that showed relationships between different patient characteristics and insurance types. The researchers then estimated the annual cost of Type 2 diabetes and its complications in Tongxiang province, China.

Hai Fang and Huyang Zhang of Peking University worked with claims data of diabetic patients insured by the New Cooperative Medical Scheme in Beijing, and at the workshop, shared regression analyses on the relationship between outpatient visits and inpatient admissions.

Jianqun Dong of the People’s Republic of China Center for Disease Control and Prevention presented ongoing research about diabetes management in China, including preliminary results of a randomized control trial of diabetes self-management strategies.

Wankyo Chung of Seoul National University shared preliminary estimates of a risk model for mortality among diabetic patients in South Korea and discussed next steps for estimating net value of diabetes management using the detailed clinical and claims data available in South Korea.

On the second day, the workshop concluded with a videoconference between workshop participants in Beijing and collaborators at Stanford Graduate Business School, including Stanford professor Latha Palaniappan and Harvard visiting professor Joseph P. Newhouse, using the Highly Immersive Classroom.

The workshop was a good opportunity for the research teams to discuss preliminary models, to offer each other suggestions regarding research methods, and to discuss the future direction of the international collaboration on the net value of diabetes. All research teams are preparing comparative research papers that will be included in the working paper series of the Asia Health Policy Program. A follow-up event will be held at Stanford in November 2017 in recognition of World Diabetes Day.

Nearly 100 health economists from across the United States signed a pledge urging U.S. presidential candidates to make chronic disease a policy priority. Karen Eggleston, a scholar of comparative healthcare systems and director of Stanford’s Asia Health Policy Program, is one of the signatories. 

The pledge calls upon the candidates to reset the national healthcare agenda to better address chronic disease, which causes seven out of 10 deaths in America and affects the economy through lost productivity and disability.

Read the pledge below.