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China’s national health reforms over the past two decades have brought the system closer to the modern, safe, reliable, and accessible health system that is commensurate with China’s dramatic economic growth, improvement in living standards, and high hopes for the next generation.

China’s national health reforms of 2009—continuing many reforms undertaken since SARS (2003)—consolidated a system of social health insurance covering the entire population for basic health services, contributing to a surge in healthcare utilization while reducing out-of-pocket costs to patients – which declined from 56% to 28% of total health expenditures between 2003 and 2017. An expanded basic public health service package, funded by per capita government budget allocations that include a higher central government subsidy for lower-income provinces, provides basic population health services to all Chinese. Now the governance structure consolidates the purchaser role for social health insurance schemes under the National Healthcare Security Administration, with most other health sector functions under the National Health Commission. China’s world-leading technological prowess in multiple fields spanning digital commerce to artificial intelligence—and accompanying innovative business models such as WeDoctor that have not yet been fully integrated into the health system—hold promise for supporting higher quality and more convenient healthcare for China’s 1.4 billion.

However, many challenges remain, from dealing with COVID-19 and its aftermath to other lingering challenges, from promoting healthy aging to the political economy of addressing patient-provider tensions, changing provider payment to promote “value” rather than volume, and deciding which new medical therapies qualify as “basic” for the basic medical insurance schemes. To make China’s investments in universal health coverage and the accompanying rapid medical spending growth sustainable in the longer run, policies need to help the most vulnerable avoid illness-induced poverty, increase health system efficiency, strengthen primary care, and reform provider payment systems.

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Testimonies
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Testimony before the U.S.-China Economic and Security Review Commission
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Karen Eggleston
Authors
Noa Ronkin
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News
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Shorenstein APARC is pleased to share that Radhika Jain, our 2019-22 Asia Health Policy Postdoctoral Fellow, is the recipient of the inaugural Adam Wagstaff Award for Outstanding Research on the Economics of Healthcare Financing and Delivery in Low- and middle-Income Countries. Hosted by the International Health Economics Association (iHEA), the award recognizes Jain’s excellent paper, "Private Hospital Behavior Under Government Health Insurance in India." She received the award on July 13 at a special session of the iHEA 2021 Congress.

Jain is a health economist working on public health policy in India. Her research focuses on the role of the private sector in the country’s health system, frictions in health care markets, socioeconomic and gender inequality, and health policy design. Her award-winning paper provides the first large-scale evidence on the behavior of private hospitals within public health insurance programs in India. In a major policy shift away from direct public provision of health care, the Indian government has been expanding health insurance programs that contract private hospitals for service delivery and pay them at fixed rates for services. Until now, however, there has been little empirical evidence on the behavior of private hospitals within these programs. 

Earlier this year, Jain presented the results of her study as part of the Asia Health Policy Program’s 2020-21 colloquium series, "Health, Medicine, and Longevity: Exploring Public and Private Roles.” Watch the conversation here:

For her research, Jain used over 1.6 million insurance claims, 20,000 patient surveys, and a policy-induced natural experiment that changed hospital reimbursement rates. Her study reveals that private hospitals in India engage in coding manipulation to increase revenues at government expense and charge patients out-of-pocket for care against program rules. As a result, almost half of all patients pay for care that should be free, and these payments constitute a 35% markup over the price the government pays. The charges decrease if reimbursement rates increase, but hospitals capture approximately half the increased reimbursements.

Jain's findings indicate that hospitals exploit market frictions and poor program enforcement to capture a substantial share of the public subsidy as profit. “In contexts of weak oversight,” she writes, “profit-motivated private agents systematically flout program rules to increase their revenues at considerable expense to the government and patients.”

She also finds, however, that hospital non-compliance partially compensates for prices set too low to meet the participation constraints of agents. Reimbursement rates, says Jain, are a significant policy lever that drives agent behavior, and simply increasing monitoring without appropriate price-setting may increase compliance but decrease service provision.

Jain’s research shows that market structure — a factor rarely taken into account in social policy design in lower-income contexts — can affect the extent to which public subsidies benefit citizens. Her findings provide broader insights into contracting the private sector for delivering health and other social services in settings with limited institutional capacity for monitoring and optimal price-setting.

On our podcast, Jain discusses her efforts to develop measures that improve how health systems serve vulnerable populations and her collaborative research with Stanford development economist Pascaline Dupas on how India's COVID-19 lockdown affected access to non-COVID-related health care and outcomes. Listen here:

The Adam Wagstaff Award honors the legacy of the late Adam Wagstaff, who was a research manager in the Development Research Group of the World Bank and former president of iHEA, and celebrates his lifelong commitment to improving healthcare financing and delivery and promoting equity in low- and middle-income countries. The award also contributes to iHEA’s efforts to promote excellence in health economics globally and advance internationalization through greater inclusion of low- and middle-income country researchers.

Congratulations, Dr. Jain, on this well-deserved honor!

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[Left] Radhika Jain, [Right] Postdoc Spotlight, Radhika Jain, Asia Health Policy Program
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Postdoctoral Fellow Spotlight: Radhika Jain on Reducing Inequalities in Health Care and Outcomes

Radhika Jain, a postdoctoral fellow with the Asia Health Policy Program, shares insights on her research into India’s health care system and how it is responding to both the COVID-19 pandemic and standard healthcare needs of citizens.
Postdoctoral Fellow Spotlight: Radhika Jain on Reducing Inequalities in Health Care and Outcomes
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A New Validated Tool Helps Predict Lifetime Health Outcomes for Prediabetes and Type 2 Diabetes in Chinese Populations

A research team including APARC's Karen Eggleston developed a new simulation model that supports the economic evaluation of policy guidelines and clinical treatment pathways to tackle diabetes and prediabetes among Chinese and East Asian populations, for whom existing models may not be applicable.
A New Validated Tool Helps Predict Lifetime Health Outcomes for Prediabetes and Type 2 Diabetes in Chinese Populations
A woman walks past a mural referring to the Covid-19 coronavirus painted on a wall on December 10, 2020 in New Delhi, India.
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How COVID-19 Disproportionately Impacts People with Chronic Conditions in India

A collaborative study by a group of researchers including APARC’s Karen Eggleston documents the adverse effects of COVID-19 on people with chronic conditions in India, particularly among poor, rural, and marginalized populations. The pandemic’s impacts extend beyond health disparities to encompass psychosocial and economic consequences, the study shows.
How COVID-19 Disproportionately Impacts People with Chronic Conditions in India
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Portrait of Radhika Jain with text congratulating her on winning the inaugural Adam Wagstaff award
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Jain is the recipient of the inaugural Adam Wagstaff Award for Outstanding Research on the Economics of Healthcare Financing and Delivery in Low- and middle-Income Countries. Her award-winning paper provides the first large-scale evidence on the behavior of private hospitals within public health insurance in India.

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Noa Ronkin
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News
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Diabetes is one of the fastest-growing health challenges of the 21st century. On the frontlines of the epidemic rise in the number of people with diabetes is the Asia-Pacific region. China, in particular, has by far the largest absolute burden of diabetes, with an estimated 116 million adults living with the disease accounting for one-quarter of patients with diabetes globally. By 2045, the number of adults living with diabetes in the country is expected to increase to 147 million, not including the large diaspora community China provides worldwide.

Evaluating the health and economic outcomes of diabetes and its complications is vital for formulating health policy. The existing predictive outcomes models for type 2 diabetes, however, were developed and validated in historical European populations and may not be applicable for East Asian populations with their distinct epidemiology and complications. Additionally, the existing models are typically limited to diabetes alone and ignore the progression from prediabetes to diabetes. The lack of an appropriate simulation model for East Asian individuals and prediabetes is a major gap for the economic evaluation of health interventions.

New collaborative research now addresses these limitations. The research team includes APARC’s Asia Health Policy Program Director Karen Eggleston. The researchers developed and validated a patient-level simulation model for predicting lifetime health outcomes of prediabetes and type 2 diabetes in East Asian populations. They report on their findings in the journal PLOS Medicine


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Modeling Health Outcomes Among East Asian Populations

The chronic progression to diabetes-related complications is apt for computer simulation modeling due to the long-term nature of health outcomes and the time lag for interventions to impact patient outcomes. It is problematic, however, to estimate the impacts of health interventions on East Asian populations with diabetes using existing models, which were developed and validated in European and North American populations with different epidemiology and outcomes.

To fill in this gap, Eggleston and her colleagues set out to develop and validate an outcomes model for the progression of diabetes and related complications in Chinese populations. They compared this new model, called the Chinese Hong Kong Integrated Modeling and Evaluation (CHIME), to two widely used existing models developed and validated in the United Kingdom (known as the United Kingdom Prospective Diabetes Study Outcomes Model 2, or UKPDS-OM2) and in the United States/Canada (called Risk Equations for Complications of type 2 Diabetes, or RECODe). Despite the continuum of risk across the spectrum of risk factor values, these two existing models ignore the progression from prediabetes to diabetes.

The CHIME integrates prediabetes and diabetes into a comprehensive model comprising 13 outcomes. These include mortality, micro- and macrovascular complications, and the development of diabetes. The researchers developed the CHIME simulation model using data from a population-based cohort of 97,628 participants in Hong Kong with type 2 diabetes (43.5%) or prediabetes (56.5%) from 2006 to 2017. Known as the Hong Kong Clinical Management System (CMS), this cohort makes one of the largest Chinese electronic health informatics systems with detailed clinical records. 

The CHIME outperformed the widely used United Kingdom Prospective Diabetes Study Outcomes Model 2 (UKPDS-OM2) and Risk Equations for Complications of type 2 Diabetes (RECODe) models on real-world data.
Karen Eggleston et al

The next step was to externally validate the CHIME model against individual-level data from the China Health and Retirement Longitudinal Study (CHARLS) cohort (2011-2018), a nationally representative longitudinal cohort of middle-aged and elderly Chinese residents age 45 and older. The researchers validated the CHIME model against six outcomes measures recorded in the CHARLS data and an additional 80 endpoints from nine published trials of diabetes patients using simulated cohorts of 100,000 individuals.

Towards Reducing the Disease Burden of Diabetes

The researchers found that the CHIME model outperformed the widely used UKPDS-OM2 and RECODe models on the data used, meaning that the validation of the CHIME model was more accurate for trials with mainly Asian participants than trials with mostly non-Asian participants. The results indicate that the CHIME model is a validated tool for predicting the progression of diabetes and its outcomes, particularly among Chinese and East Asian populations, for which the existing models have been unsuitable.

With the new model, clinicians and health economists can evaluate population health status for prediabetes and diabetes using routinely recorded data and therapies related to the long-term management of diabetes. In particular, the CHIME outcomes model enables them to assess patients' quality of life and measure cost per quality-adjusted life-years over the long-time horizon of chronic disease conditions. The new model thus supports the economic evaluation of policy guidelines and clinical treatment pathways to tackle diabetes and prediabetes, address micro- and macrovascular complications associated with these conditions, and improve life expectancy.

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In China, Better Financial Coverage Increases Health Care Access and Utilization

Research evidence from China’s Tongxiang county by Karen Eggleston and colleagues indicates that enhanced financial coverage for catastrophic medical expenditures increased health care access and expenditures among resident insurance beneficiaries while decreasing out-of-pocket spending as a portion of total spending.
In China, Better Financial Coverage Increases Health Care Access and Utilization
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Robotics and the Future of Work: Lessons from Nursing Homes in Japan

On the Future Health podcast, Karen Eggleston discusses the findings and implications of her collaborative research into the effects of robot adoption on staffing in Japanese nursing homes.
Robotics and the Future of Work: Lessons from Nursing Homes in Japan
A woman walks past a mural referring to the Covid-19 coronavirus painted on a wall on December 10, 2020 in New Delhi, India.
News

How COVID-19 Disproportionately Impacts People with Chronic Conditions in India

A collaborative study by a group of researchers including APARC’s Karen Eggleston documents the adverse effects of COVID-19 on people with chronic conditions in India, particularly among poor, rural, and marginalized populations. The pandemic’s impacts extend beyond health disparities to encompass psychosocial and economic consequences, the study shows.
How COVID-19 Disproportionately Impacts People with Chronic Conditions in India
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A research team including APARC's Karen Eggleston developed a new simulation model that supports the economic evaluation of policy guidelines and clinical treatment pathways to tackle diabetes and prediabetes among Chinese and East Asian populations, for whom existing models may not be applicable.

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Background

Existing predictive outcomes models for type 2 diabetes developed and validated in historical European populations may not be applicable for East Asian populations due to differences in the epidemiology and complications. Despite the continuum of risk across the spectrum of risk factor values, existing models are typically limited to diabetes alone and ignore the progression from prediabetes to diabetes. The objective of this study is to develop and externally validate a patient-level simulation model for prediabetes and type 2 diabetes in the East Asian population for predicting lifetime health outcomes.
 

Methods and findings

We developed a health outcomes model from a population-based cohort of individuals with prediabetes or type 2 diabetes: Hong Kong Clinical Management System (CMS, 97,628 participants) from 2006 to 2017. The Chinese Hong Kong Integrated Modeling and Evaluation (CHIME) simulation model comprises of 13 risk equations to predict mortality, micro- and macrovascular complications, and development of diabetes. Risk equations were derived using parametric proportional hazard models. External validation of the CHIME model was assessed in the China Health and Retirement Longitudinal Study (CHARLS, 4,567 participants) from 2011 to 2018 for mortality, ischemic heart disease, cerebrovascular disease, renal failure, cataract, and development of diabetes; and against 80 observed endpoints from 9 published trials using 100,000 simulated individuals per trial.

The CHIME model was compared to United Kingdom Prospective Diabetes Study Outcomes Model 2 (UKPDS-OM2) and Risk Equations for Complications Of Type 2 Diabetes (RECODe) by assessing model discrimination (C-statistics), calibration slope/intercept, root mean square percentage error (RMSPE), and R2. CHIME risk equations had C-statistics for discrimination from 0.636 to 0.813 internally and 0.702 to 0.770 externally for diabetes participants. Calibration slopes between deciles of expected and observed risk in CMS ranged from 0.680 to 1.333 for mortality, myocardial infarction, ischemic heart disease, retinopathy, neuropathy, ulcer of the skin, cataract, renal failure, and heart failure; 0.591 for peripheral vascular disease; 1.599 for cerebrovascular disease; and 2.247 for amputation; and in CHARLS outcomes from 0.709 to 1.035.

CHIME had better discrimination and calibration than UKPDS-OM2 in CMS (C-statistics 0.548 to 0.772, slopes 0.130 to 3.846) and CHARLS (C-statistics 0.514 to 0.750, slopes −0.589 to 11.411); and small improvements in discrimination and better calibration than RECODe in CMS (C-statistics 0.615 to 0.793, slopes 0.138 to 1.514). Predictive error was smaller for CHIME in CMS (RSMPE 3.53% versus 10.82% for UKPDS-OM2 and 11.16% for RECODe) and CHARLS (RSMPE 4.49% versus 14.80% for UKPDS-OM2). Calibration performance of CHIME was generally better for trials with Asian participants (RMSPE 0.48% to 3.66%) than for non-Asian trials (RMPSE 0.81% to 8.50%). Main limitations include the limited number of outcomes recorded in the CHARLS cohort, and the generalizability of simulated cohorts derived from trial participants.
 

Conclusion

Our study shows that the CHIME model is a new validated tool for predicting progression of diabetes and its outcomes, particularly among Chinese and East Asian populations that has been lacking thus far. The CHIME model can be used by health service planners and policymakers to develop population-level strategies, for example, setting HbA1c and lipid targets, to optimize health outcomes.

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PLOS Medicine
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Karen Eggleston
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Background

In an effort to provide greater financial protection from the risk of large medical expenditures, China has gradually added catastrophic medical insurance (CMI) to the various basic insurance schemes. Tongxiang, a rural county in Zhejiang province, China, has had CMI since 2000 for their employee insurance scheme, and since 2014 for their resident insurance scheme.

Methods

Compiling and analyzing patient-level panel data over five years, we use a difference-in-difference approach to study the effect of the 2014 introduction of CMI for resident insurance beneficiaries in Tongxiang. In our study design, resident insurance beneficiaries are the treatment group, while employee insurance beneficiaries are the control group.

Findings

We find that the availability of CMI significantly increases medical expenditures among resident insurance beneficiaries, including for both inpatient and outpatient spending. Despite the greater financial protection, out-of-pocket expenditures increased, in part because patients accessed treatment more often at higher-level hospitals.

Interpretation

Better financial coverage for catastrophic medical expenditures led to greater access and expenditures, not only for inpatient admissions—the category that most often leads to catastrophic expenditures—but for outpatient visits as well. These patterns of expenditure change with CMI may reflect both enhanced access to a patient's preferred site of care as well as the influence of incentives encouraging more care under fee-for-service payment.

This study is part of Karen Eggleston's research project Addressing Health Disparities in China

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The Lancet Regional Health - Western Pacific
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Karen Eggleston
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Noa Ronkin
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Does the new wave of digital technologies portend a future in which robots and automation increasingly replace workers and destroy livelihoods? In one of the first studies of service sector robots, APARC experts find evidence to offset dystopian predictions of robot job replacement.

The researchers — Asia Health Policy Program Director Karen Eggleston, SK Center Fellow Yong Suk Lee, and University of Tokyo health economist Toshiaki Iizuka, our former visiting scholar — set out to examine how robots affect labor, productivity, and quality of care in Japan’s nursing homes. Their findings indicate that robot adoption may not be detrimental to labor and may help address the challenges of rapidly aging societies.

Eggleston recently joined the Future Health podcast, an initiative of the New South Wales Ministry of Health, to discuss the study and its implications. The program is available both as a video and audio podcast. Watch and listen below:

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Published by the National Bureau of Economic Research, the study suggests that robot adoption has increased employment opportunities for non-regular care workers, helped mitigate the turnover problem that plagues nursing homes, and provided greater flexibility for workers. It is also published in AHPP's working paper series and is part of a broader research project by Eggleston, Lee, and Iizuka, that explores the impact of robots on nursing home care in Japan and the implications of robotic technologies adoption in aging societies.

The study has attracted media attention. The Financial Times Magazine, in a feature story and podcast, called it “groundbreaking in several ways but perhaps most clearly for setting its sights not on manufacturing but on the services sector, where robots are only just beginning to make their mark.” The Freakonomics Radio podcast also hosted Eggleston and Lee for a conversation about their research as part of an episode on collaborative robots and the future of work.

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The Unfolding Relationship Between Human Workers and Robots in an Aging World

On the Freakonomics Radio podcast, Karen Eggleston and Yong Suk Lee discuss their research into the effects of robots on staffing in Japanese nursing homes.
The Unfolding Relationship Between Human Workers and Robots in an Aging World
A Japanese robot prototype lifts a dummy patient
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Robot Adoption Brings Benefits to Japan’s Aging Society

In one of the first studies of service sector robotics, APARC scholars examine the impacts of robots on nursing homes in Japan. They find that robot adoption may not be detrimental to labor and may help address the challenges of rapidly aging societies.
Robot Adoption Brings Benefits to Japan’s Aging Society
A woman walks past a mural referring to the Covid-19 coronavirus painted on a wall on December 10, 2020 in New Delhi, India.
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How COVID-19 Disproportionately Impacts People with Chronic Conditions in India

A collaborative study by a group of researchers including APARC’s Karen Eggleston documents the adverse effects of COVID-19 on people with chronic conditions in India, particularly among poor, rural, and marginalized populations. The pandemic’s impacts extend beyond health disparities to encompass psychosocial and economic consequences, the study shows.
How COVID-19 Disproportionately Impacts People with Chronic Conditions in India
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On the Future Health podcast, Karen Eggleston discusses the findings and implications of her collaborative research into the effects of robot adoption on staffing in Japanese nursing homes.

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This paper describes the qualitative results of the mixed-methods study by Eggleston and her colleagues. For the quantitative results of the study, read the April 2021 paper in the journal BMC Public Health. Also, watch and read our full story and interview with Eggleston.

Objective

People with chronic conditions are known to be vulnerable to the COVID-19 pandemic. This study aims to describe patients’ lived experiences, challenges faced by people with chronic conditions, their coping strategies, and the social and economic impacts of the COVID-19 pandemic.
 

Design, Setting, and participants

We conducted a qualitative study using a syndemic framework to understand the patients’ experiences of chronic disease care, challenges faced during the lockdown, their coping strategies and mitigators during the COVID-19 pandemic in the context of socioecological and biological factors. A diverse sample of 41 participants with chronic conditions (hypertension, diabetes, stroke, and cardiovascular diseases) from four sites (Delhi, Haryana, Vizag, and Chennai) in India participated in semistructured interviews. All interviews were audio-recorded, transcribed, translated, anonymized and coded using MAXQDA software. We used the framework method to qualitatively analyze the COVID-19 pandemic impacts on health, social and economic well-being.
 

Results

Participant experiences during the COVID-19 pandemic were categorized into four themes: challenges faced during the lockdown, experiences of the participants diagnosed with COVID-19, preventive measures taken, and lessons learned during the COVID-19 pandemic. A subgroup of participants faced difficulties in accessing healthcare while a few reported using teleconsultations. Most participants reported the adverse economic impact of the pandemic which led to higher reporting of anxiety and stress. Participants who tested COVID-19 positive reported experiencing discrimination and stigma from neighbors. All participants reported taking essential preventive measures.
 

Conclusion

People with chronic conditions experienced a confluence (reciprocal effect) of COVID-19 pandemic and chronic diseases in the context of difficulty in accessing healthcare, sedentary lifestyle, and increased stress and anxiety. Patients’ lived experiences during the pandemic provide important insights to inform effective transition to a mixed realm of online consultations and ‘distanced’ physical clinic visits.

 

Karen Eggleston 4X4

Karen Eggleston, PhD

Senior Fellow at FSI, Director of the Asia Health Policy Program at Shorenstein Asia-Pacific Research Center
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A Qualitative Study
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BMJ Open
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Karen Eggleston
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2021;11:e048926
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Of the many issues that the COVID-19 pandemic has brought into focus, foremost in the spotlight is the vital role that healthcare systems play in societal wellbeing and security. Around the world, health systems of all types have had to rapidly adapt, reassess, and react to constantly changing needs.

The 2020-21 Asia Health Policy Program (AHPP) colloquium series, “Health, Medicine, and Longevity: Exploring Public and Private Roles,” brings together academics, theorists, on-the-ground NGO leaders, and government advisors to explore how partnerships between public providers and private organizations affect the quality and access to healthcare the world over.

The series recently featured a keynote address by Harvard economist Oliver Hart, the 2016 co-recipient of the Nobel Prize in Economics for his work on contract theory — a framework known as ‘The Proper Scope of Government.’ Hart joined AHPP Director and APARC Deputy Director Karen Eggleston to reflect on the impact his theory has had across disciplines in the 25 years since its publication and on the future of research into contract theory. Watch the conversation with Hart below.

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Oliver Hart and the ‘Proper Scope of Government’

Hart’s seminal economic theory, ‘The Proper Scope of Government,” underpins much of the research into public-private partnerships in healthcare. Hart developed this touchstone framework jointly with Andrei Shleifer and Robert W. Vishny to better evaluate when a government should provide a service itself and when it should contract with a private provider for support and execution of services.

The model outlined in Hart, Shleifer, and Vishny’s original 1996 working paper is designed to help providers and contractors consider the costs and benefits of a proposed contractual service agreement. While this model was originally applied to the case of prison privatization, the framework has served as an invaluable tool for researchers in multiple sectors including health policy and provision.

Reflections and Updates to the Theory

In reflecting on ‘The Proper Scope of Government,’ there are things Hart would like to see more fully incorporated into the theory to enrich its real-world applicability. Chiefly among these is better accounting for contractual incompleteness or the reality that a contract cannot anticipate and outline every possible unforeseen event or area of ambiguity. However, modeling contractual incompleteness is notoriously difficult given the almost-limitless factors of variability.

Some of Hart’s recent work on guiding principles responds to this challenge. Rather than trying to predict every aspect of a contractual relationship within the framing and language of a standard contract model, Hart argues that mutually agreed-upon guiding principles —such as equity, loyalty, and honesty — can serve as a foundation for navigating inevitable areas of ambiguity and potential conflict that a contract does not specifically state or that the original theory does not fully account for.

These guiding principles also help preserve space for renegotiation and innovation, which are necessary in an era of rapid technological advances and explosion of measurable data. In this context, Hart cautions against the mentality of ‘more is more:’

“If you put more and more things into the contract and then something happens that wasn’t in the contract, the fact that you put so much more in may make it more difficult to negotiate about the thing that you didn’t put in.”

 Applying ‘The Proper Scope of Government’

Hart shared a prime example of his theory at work in health systems in a case study of the Vancouver Island Health Authority. Traditionally, family physicians would continue as the primary care provider for their patients even if a patient needed hospitalization. But a change of law in 2006 required all specialized in-hospital care be contracted to hospitalists with little to no crossover with care provided by family practice physicians.

The result was a rise in caseload and stress levels amongst hospital specialists and repeated failed negotiations of the standard contract. The addition of guiding principles to the contract, however, provided avenues where reasonable solutions and additional communications could happen beyond the limits of the formal contract.

This is just one case of innumerable where Hart’s work has helped inform and contextualize how policymakers consider relationships between the public and private spheres of healthcare. Responding to the praise and input from fellow economists presented in a tribute documentary to the impact of his framework, Hart remarked:

“I hadn't realized how many people have been influenced by this paper and how they've been using it in different contexts. I knew some of the applications, but there were others I didn't, and it’s been truly amazing to see that.”

Looking Toward the Future

The tradeoffs between public and private partnerships in healthcare systems across the world will continue to be a dynamic and evolving area of research that will rely on theories such as ‘The Proper Scope of Government’ for framing and application. Looking towards the future, Hart was hopeful but cautious about the vitality of the kind of theoretical tradition which allowed for the development of his original theory. He recognizes that specialties such as contract theory and contractual incompleteness are inherently “messy” and somewhat out of vogue with current trends in economics which tend to favor theories that are “impressive, clever, and non-obvious,” regardless of whether they address important questions.

As he iterated in his Nobel Prize lecture, the incomplete world of contracts nonetheless “underlies numerous significant phenomena, some of which have great policy relevance,” and therefore fully deserving of upcoming economists’ time and efforts.

Further Research into Public-Private Partnerships

The Asia Health Policy Program’s 2020-21 colloquium series focuses on the roles and impacts of public-private partnerships in healthcare and the tradeoffs in equity, accessibility, and cost that come with contracted agreements in health systems. All of the events from the colloquium series are available on our YouTube channel. Click the thumbnails below to start exploring.

Collaborative governance — that is, relationships involving both the private and public sectors in the pursuit of public value — is part of ongoing research by Karen Eggleston. Her forthcoming book, The Dragon, the Eagle, and the Private Sector (Cambridge University Press), co-authored with Harvard’s John D. Donahue and Richard J. Zeckhauser, examines the ways in which collaborative governance works across a wide range of policy arenas in China and the United States, with the goal of empowering public decisionmakers to more wisely engage the private sector. Join us for the book launch event, which will be held jointly with the Harvard Kennedy School on March 5 

 

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Thumbnail images for the webinar events in the AHPP's 2020-21 colloquium series, "Health, Medicine, and Longevity: Exploring Public and Private Roles."

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Health Signals Increase Preventive Care, Improve Health Outcomes for Individuals at High Risk of Diabetes, Evidence from Japan Shows

Among the general population, however, researchers including Asia Health Policy Program Director Karen Eggleston find no evidence that additional care improves health outcomes.
Health Signals Increase Preventive Care, Improve Health Outcomes for Individuals at High Risk of Diabetes, Evidence from Japan Shows
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Researchers Develop New Method for Projecting Future Wellness of Aging Populations

Asia Health Policy Director Karen Eggleston and her colleagues unveil a multistate transition microsimulation model that produces rigorous projections of the health and functional status of older people from widely available datasets.
Researchers Develop New Method for Projecting Future Wellness of Aging Populations
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Q&As

Robots May Be the Right Prescription for Struggling Nursing Homes

Karen Eggleston and Yong Suk Lee speak to the Oliver Wyman Forum on how robotics and advancing technologies are helping staff in Japanese nursing homes provide better and safer care to their patients.
Robots May Be the Right Prescription for Struggling Nursing Homes
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[Left] A nurse assists an elderly woman in a wheel chair; [Right] Oliver Hart
The AHPP 2020-21 colloquium series explores the roles of the public and private sectors in providing equitable and accessible health services. The keynote address was given by Nobel laureate Oliver Hart.
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In its 2020-21 colloquium series, the Asia Health Policy Program weighs the balance, benefits, and considerations in providing health services through national governments and contracting with private organizations.

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This study investigates the marginal value of information in the context of health signals that people receive after checkups. Although underlying health status is similar for individuals just below and above a clinical threshold, treatments differ according to the checkup signals they receive. For the general population, whereas health warnings about diabetes increase healthcare utilization, health outcomes do not improve. However, among high-risk individuals, outcomes do improve, and improved health is worth its cost. These results indicate that the marginal value of health information depends on setting appropriate thresholds for health warnings and targeting individuals most likely to benefit from follow-up medical care.

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Journal of Public Economics
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Karen Eggleston
Toshiaki Iizuka
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Journal of BMC Medicine

India, as part of its bid to achieve universal health coverage, has expanded government health programs over the last two decades, most notably with the establishment of the National Health Mission and the rollout of public health insurance programs targeting poor households. However, national spending on health remains among the lowest in the world. As the government increasingly takes on the role of purchaser of health care, decisions about the allocation of scarce resources for health will have substantial fiscal and health consequences and must be based on evidence. Additionally, in order to control costs and effectively address the growing chronic disease burden, public programs will need to find ways to integrate curative hospital services with the most cost-effective preventive and primary interventions. Currently, in part because the evidence base on economic evaluations of health interventions in India remains sparse and of low quality, decisions about which health care services to cover are typically made by expert committees rather than through systematic assessments of efficacy and cost-effectiveness.

However, in recent years, the government has taken several steps towards establishing the infrastructure for evidence-based priority setting and resource allocation, including the establishment of a body for Health Technology Assessment in India (HTAIn) within the Department of Health Research to collate and generate evidence on the clinical efficacy and cost-effectiveness of new and existing health technologies and programs. Research evidence on the cost-effectiveness of both preventive and curative health interventions in the Indian context is going to be a critical input to the HTAIn.

Dr. Karen Eggleston

Karen Eggleston, PhD

Senior Fellow at FSI, Director of the Asia Health Policy Program at Shorenstein APARC
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Portrait of Radhika Jain

Radhika Jain, PhD

2019-2022 Asia Health Policy Postdoctoral Fellow
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BMC Medicine
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Karen Eggleston
Radhika Jain
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