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George Krompacky
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The incidence of diabetes has risen sharply in China from 1% in 1980 to 12.8% in 2017, and it is expected to continue to rise, despite the disease being one of four targeted by the Chinese government in its Healthy China Action Plan 2019-2030. Diabetes takes a high toll, both economically and in terms of healthy years of life. The disease is a major cause of strokes, heart attacks, blindness, and lower limb amputations. Although diabetes is on the rise, treatment and control remain relatively low in China, especially in rural areas.

In a new paper in The Lancet Regional Health—Western Pacific, a research team, which included APARC's Asia Health Policy Program Director Karen Eggleston, examined how improved control of glycemia and blood pressure, two modifiable risk factors for diabetes, could improve health outcomes in China. They performed a microsimulation analysis of more than 20,000 Chinese adults with diabetes, with data taken from the China Chronic Disease and Nutrition Surveillance survey (CCDNS), looking at the increased control of glycemia and blood pressure in 31 different scenarios.


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Similar studies had previously relied upon simulated risk factor levels that did not accurately reflect a representative Chinese population or used non-Asian models that have been known to over-predict medical complications in Chinese populations. The CCDNS data the authors used in their study was collected in 2018-19 from national disease surveillance points in mainland China, and their microsimulation used the CHIME (Chinese Hong Kong Integrated Modelling and Evaluation) model, which has been validated in East Asian populations.

Based on the CCDNS data, only one in five (20.1%) of people with diabetes in China had achieved optimal control of both glycemia and blood pressure in 2018-19. The study modeled control rates of 70%, 80%, and 100% to see the effects on the population’s health. The authors found that control of the two risk factors in people with type 2 diabetes was associated with considerable improvement in health, a reduced number of early deaths, and savings in medical costs. For example, if China were to achieve 70% control of these risk factors (based on current WHO/Chinese Diabetes Society targets for blood glucose and blood pressure), deaths before age 70 could be cut by 7.1% and medical costs by 14.9% over the next 10 years.

The study provides more impetus for China to reach its control targets outlined in the Healthy China plan, which aims for the nation to reach by 2030 health indicator performance comparable to high-income countries like the United States. The authors demonstrate that the health and economic burdens associated with diabetes can be substantially reduced or avoided if glycemia and blood pressure are better regulated in the Chinese population.

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Karen Eggleston

Senior Fellow at the Freeman Spogli Institute for International Studies and Director of the Asia Health Policy Program
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Using recent data from the China Chronic Disease and Nutrition Surveillance survey and applying the Chinese Hong Kong Integrated Modelling and Evaluation microsimulation model, a new study co-authored by APARC's Karen Eggleston found that substantial health improvements and medical savings could be achieved in China by better control of glycemia and blood pressure, two modifiable risk factors for diabetes.

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Objective

This study aims to identify the association between diabetes diagnosis, health outcomes, insurance scheme, and the quality of county-level primary care in a cohort of older Chinese adults.
 

Design and setting

Data from the China Health and Retirement Longitudinal Study, a nationally-representative panel survey of people aged 45 and over in China.
 

Participants

Among participants with valid diabetes-related and hypertension-related medical history and biomarkers (n=8207), participants with diabetes (n=1318) were identified using biomarkers and self-reported medical history. Individual models were run using complete case analysis.
 

Results

Among 1318 individuals with diabetes in 2011, 59.8% were unaware of their disease status. Diagnosis rates were significantly higher among participants with more generous public health insurance coverage (OR 3.58; 95% CI 2.15 to 5.98) and among those with other comorbidities such as dyslipidemia (OR 2.88; 95% CI 2.03 to 4.09). After adjusting for demographics, individuals with more generous public health insurance coverage did not have better glucose control at 4 years follow-up (OR 0.55; 95% CI 0.26 to 1.18) or fewer inpatient hospital admissions at 4 years (OR 1.29; 95% CI 0.72 to 2.33) and 7 years follow-up (OR 1.12; 95% CI 0.62 to 2.05). Individuals living in counties with better county-level primary care did not have better glucose control at 4 years follow-up (OR 0.69; 95% CI 0.01 to 33.36), although they did have fewer inpatient hospital admissions at 4 years follow-up (OR 0.03; 95% CI 0.00 to 0.95). Diabetes diagnosis was a significant independent predictor of both better glucose control at 4 years follow-up (OR 13.33; 95% CI 8.56 to 20.77) and increased inpatient hospital stays at 4 years (OR 1.72; 95% CI 1.20 to 2.47) and 7 years (OR 1.82; 95% CI 1.28 to 2.58) follow-up.
 

Conclusions

These findings suggest that participants with diabetes are often diagnosed concurrently with other comorbid disease conditions or after diabetes-related complications have already developed, thus leading to worse health outcomes in subsequent years despite improvements in health associated with better primary care. These findings suggest the importance of strengthening primary care and insurance coverage among older adults to focus on diagnosing and treating diabetes early, in order to prevent avoidable health complications and promote healthy aging.

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Results From the China Health and Retirement Longitudinal Study

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BMJ Open
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Karen Eggleston
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Michael Breger
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As healthcare costs for patients with non-communicable diseases such as diabetes have risen, governments and healthcare providers have sought creative measures to align financial incentives with better patient outcomes. One incentive payment system known as “pay-for-performance” (P4P), in which providers are beholden to metric-driven outcomes, represents a potential path forward for healthcare providers to improve healthcare processes, resulting in higher quality and better patient health outcomes. The evidence on the effectiveness of P4P programs, however, is mixed.

To address this uncertainty, a new study, published in The European Journal of Healthcare Economics, assesses the effectiveness, in monetary terms, of a P4P program for patients with diabetes at a hospital system in Taiwan. 

The study coauthors, including APARC’s Asia Health Policy Program Director and FSI Senior Fellow Karen Eggleston, employed new patient-level data on clinical indicators, utilization, and expenditures, combined with data from the national death registry, to better understand the costs and benefits of the P4P program. Their results show that Taiwan’s implementation of the P4P program for diabetic care yielded positive results in terms of net value, defined as the value of life years gained minus the cost of care.


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Assessing Net Value of Taiwan’s P4P

Taiwan’s Bureau of National Health Insurance (now National Health Insurance Administration) introduced P4P in 2001 and enhanced the program in 2006 with an incentive for pay-for-reporting of outcomes. Financial incentives were used to encourage continuity of care with metrics such as new patient enrollment, follow-up visits, and annual reports, each tied to a specific monetary value. The program’s features are common across P4P, so the study’s findings have implications in other settings that incorporate similar designs in their P4P programs.

The study compares two different groups of patients at a large regional hospital in Taiwan, one consisting of newly enrolled P4P patients and another using P4P patients who have been enrolled since the beginning of the program. The researchers leverage detailed clinical data not used in previous assessments of the P4P program to better identify both costs and longer-term clinical outcomes based on measured biomarkers and predicted mortality.

Using an economic cost-benefit analysis conducted from a budgetary perspective, the study is the first analysis of any P4P program that estimates changes in the quality-adjusted price index relative to usual care. The authors consider health benefits in terms of survival and predicted survival and convert them into monetary terms. This net value approach is especially useful for policymakers and healthcare administrators who implement value-based purchasing and monitor outcomes for any service delivery innovation over time.

“These encouraging findings of the positive value of quality improvement net of expenditures adds evidence to the literature that has found mixed results of P4P programs.”

The study finds that Taiwan’s P4P program provided a positive net value for payers and patients, ranging from $40,084 USD to $348,717 USD. These positive net value results are primarily derived from health outcomes as measured by lower mortality rates in the P4P versus non-P4P cohorts, across both newly enrolled and continuously enrolled groups of patients. According to the authors, “these encouraging findings of the positive value of quality improvement net of expenditures adds evidence to the literature that has found mixed results of P4P programs.” 

 This study develops a new model for assessing the net value of service delivery innovations like P4P programs that can be applied in other contexts globally, providing healthcare systems researchers with new tools to better understand an emergent option for incentivized care. With a more economically-translatable understanding of P4P programs, this research helps build the bridge between the oft-disparate worlds of healthcare and policy.

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In the first study to evaluate pay-for-performance implementation at a hospital system in Taiwan, APARC’s Asia Health Policy Program Director Karen Eggleston and co-authors reveal how incentive-based measures to ensure continuity and quality of care resulted in positive health outcomes.

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Noa Ronkin
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The Walter H. Shorenstein Asia-Pacific Research Center (APARC) is pleased to invite applications for a suite of fellowships in contemporary Asia studies to begin fall quarter 2023.

The Center offers postdoctoral fellowships that promote multidisciplinary research on contemporary Japan and contemporary Asia broadly defined, inaugural postdoctoral fellowships and visiting scholar positions as part of the newly launched Stanford Next Asia Policy Lab, and a fellowship for experts on Southeast Asia. Learn more about each opportunity and its eligibility and specific application requirements:

Postdoctoral Fellowship on Contemporary Japan

Hosted by the Japan Program at APARC, the fellowship supports research on contemporary Japan in a broad range of disciplines including political science, economics, sociology, law, policy studies, and international relations. Appointments are for one year beginning in fall quarter 2023. The application deadline is December 1, 2022.
 

Shorenstein Postdoctoral Fellowship on Contemporary Asia

APARC offers two postdoctoral fellowship positions to junior scholars for research and writing on contemporary Asia. The primary research areas focus on political, economic, or social change in the Asia-Pacific region (including Northeast, Southeast, and South Asia), or international relations and international political economy in the region. Appointments are for one year beginning in fall quarter 2023. The application deadline is December 1, 2022.
 

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The Center offers a suite of fellowships for Asia researchers to begin fall quarter 2023. These include postdoctoral fellowships on contemporary Japan and the Asia-Pacific region, inaugural postdoctoral fellowships and visiting scholar positions with the newly launched Stanford Next Asia Policy Lab, and fellowships for experts on Southeast Asia.

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This press release was originally published by the University of Tokyo. It discusses a new study, published by Lancet Public Health and co-authored by researchers from the University of Tokyo along with FSI Senior Fellow Karen Eggleston, director of the Asia Health Policy Program at APARC, and Jay Bhattacharya, Professor of Health Policy and director of the Center for Demography and Economics of Health and Aging at Stanford.


A new detailed microsimulation, using a database of 40 million people, has examined the future of Japan’s aging population up to 2043. It projects that more people will live longer, and that overall years spent living with dementia will decrease. However, the model highlighted the diversity of impacts on different segments of the population, as Japanese women with a less than high school education aged 75 and over may be disproportionately affected by both dementia and frailty. Better understanding where health gaps like this exist can help inform public health planning, to minimize future economic costs and support those most in need.

Taking care of the older members of society is a common concern around the world. Japan is famous for its long-lived residents, the number of which continues to rise. In 2020, almost 30% of the Japanese population was aged 65 years or older, and this age group is not projected to peak until 2034. Caring for people with age-related ailments, such as dementia and frailty, poses a challenge both to individuals and public health care systems.

Microsimulation models, which are computer models that can provide detailed analysis on an individual basis, are currently used to project future population health in some countries, such as the U.K. and the U.S. Professor Hideki Hashimoto and researchers at the University of Tokyo, along with researchers from Stanford University in the U.S., wanted to create a new microsimulation model for Japan, which would take into account more diverse conditions than had been considered before.

“We developed a new Japanese microsimulation model that accounts for 13 chronic conditions (including heart disease, stroke, diabetes, depression and dependency), as well as frailty and dementia,” explained Hashimoto. “Using an ultralarge data system, we were able to ‘follow’ a virtual cohort of more than 40 million people aged 60 and over from 2016 to 2043.”

According to Hashimoto, projections of aging in Japan usually rely on the “average” status of older people and so don’t consider the diversity of the population. “I believe that problems of aging are a matter of health gaps over the course of people’s lives,” he said. “Our projection brings attention to a widening health gap among older people. It highlighted that women with a less than high school education aged 75 or over are more likely to be affected.”

Identifying where health gaps like this exist could be used to better inform public policy, not only about health care but other influential aspects of life. “Japan’s case may suggest that improvement in educational attainment, as well as population health, could be a key to making a healthier and more manageable aging society,” said Hashimoto.

Positively, this study shows hope for a future where many people live longer and more healthy lives. “People might believe that an increase in cases of dementia is inescapable, given population aging. However, in this study we found that in Japan, despite an aging population, the number of people with dementia is expected to decrease over the next two decades,” said Hashimoto. “Population aging does not necessarily mean an increase of social burden for care, but it does bring a diversity of problems that requires careful study and science-based policy attention, to close the health gap.”

Karen Eggleston 4X4

Karen Eggleston

Senior Fellow at FSI and Director of the Asia Health Policy Program, Shorenstein APARC
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A new microsimulation projects that over the next 20 years, Japanese people will live longer without dementia, but older women with a less than high school education will benefit less than men.

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Background

Dementia and frailty often accompany one another in older age, requiring complex care and resources. Available projections provide little information on their joint impact on future health-care need from different segments of society and the associated costs. Using a newly developed microsimulation model, we forecast this situation in Japan as its population ages and decreases in size.

 

Methods

In this microsimulation modelling study, we built a model that simulates an individual's status transition across 11 chronic diseases (including diabetes, coronary heart disease, and stroke) as well as depression, functional status, and self-reported health, by age, sex, and educational strata (less than high school, high school, and college and higher), on the basis of nationally representative health surveys and existing cohort studies. Using the simulation results, we projected the prevalence of dementia and frailty, life expectancy with these conditions, and the economic cost for formal and informal care over the period 2016–43 in the population of Japan aged 60 years and older.

 

Findings

Between 2016 and 2043, life expectancy at age 65 years will increase from 23·7 years to 24·9 years in women and from 18·7 years to 19·9 years in men. Years spent with dementia will decrease from 4·7 to 3·9 years in women and 2·2 to 1·4 years in men. By contrast, years spent with frailty will increase from 3·7 to 4·0 years for women and 1·9 to 2·1 for men, and across all educational groups. By 2043, approximately 29% of women aged 75 years and older with a less than high school education are estimated to have both dementia and frailty, and so will require complex care. The expected need for health care and formal long-term care is anticipated to reach costs of US$125 billion for dementia and $97 billion for frailty per annum in 2043 for the country.

 

Interpretation

Japan's Government and policy makers should consider the potential social challenges in caring for a sizable population of older people with frailty and dementia, and a widening disparity in the burden of those conditions by sex and by educational status. The future burden of dementia and frailty should be countered not only by curative and preventive technology innovation, but also by social policies to mitigate the health gap.

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A Microsimulation Modelling Study

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The Lancet Public Health
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Karen Eggleston
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Radhika Jain and Pascaline Dupas with a screenshot of the cover of their Social Science & Medicine journal article

Highlights

  • India's nationwide COVID-19 lockdown severely disrupted critical chronic care.

  • Non-COVID-19 morbidity and mortality increased sharply in the subsequent months.

  • Socioeconomically disadvantaged patients were worst affected.

  • Indirect health effects increase the toll of pandemics and worsen health inequality.

  • Pandemic control policies must ensure critical health services continue.

Abstract

India's COVID-19 lockdown, one of the most severe in the world, is widely believed to have disrupted critical non-COVID health services. However, linking these disruptions to effects on health outcomes has been difficult due to the lack of reliable, up-to-date health outcomes data. The authors identified all dialysis patients under a statewide health insurance program in Rajasthan, India (N = 2110), and conducted surveys to examine the effects of the lockdown on non-COVID care access and health outcomes. Post-lockdown mortality was their primary outcome and morbidity and hospitalization were secondary outcomes.

63% of patients experienced a disruption to their care. Transport barriers, hospital service disruptions, and difficulty obtaining medicines were the most common causes. We compared monthly mortality in the four months after the lockdown with pre-lockdown mortality trends, as well as with mortality trends for a similar cohort in the previous year. Mortality in May 2020, after a month of exposure to the lockdown, was 1.70 percentage points (95% CI 0.01–0.03) or 64% higher than in March 2020 and total excess mortality between April and July was estimated to be 22%. A 1SD increase in an index of care disruptions was associated with a 0.17SD (95% CI 0.13–0.22) increase in a morbidity index, a 3.1 percentage point (95% CI 0.012–0.051) increase in hospitalization, and a 2.1 percentage point (95% CI 0.00–0.04) increase in probability of death between May and July. Females, socioeconomically disadvantaged groups, and patients living far from the health system faced worse outcomes. The results highlight the unintended consequences of the lockdown on critical, life-saving non-COVID health services that must be taken into account in the implementation of future policy efforts to control the spread of pandemics.

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Evidence from Dialysis Patients

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Social Science & Medicine
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Radhika Jain
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Shorenstein APARC's annual report for the academic year 2020-21 is now available.

Learn about the research, events, and publications produced by the Center's programs over the last twelve months. Feature sections look at how APARC has researched threats to democracy and human rights in Asia, including new and upcoming books on North Korea and Southeast Asia, and the Center's research on the new administration's Asia policy. Catch up on the Center's policy work, education initiatives, events, and outreach.

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China has been making efforts to establish a universal health care coverage system through multiple social health insurance schemes. As these insurance schemes cover different populations with different financing and reimbursement levels, large disparities remain in health care access and health outcomes among people covered. The government has launched an urban-rural integration policy for social health insurance to reduce disparities in access and health outcomes. We adopt a difference-in-differences propensity score matching approach to estimate the effects of this integration policy on health care utilization, financial risk protection, and health status, using nationally representative Chinese household survey data.

The results show that the integration policy has significantly improved the financial risk protection and self-assessed health of rural residents in China, which could be attributed to a decline in out-of-pocket payment. The low-income rural residents benefit most from this policy. There is no evidence that it has pronounced effects among urban residents. Greater efforts to increase reimbursement rates and to expand beneficiary populations could help to mitigate remaining urban-rural disparities. The findings in this study would contribute to a better understanding of the impacts of health insurance expansion in low- and middle-income countries.

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Impact on Health Care Utilization, Financial Risk Protection, and Health Status
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Applied Economics
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Karen Eggleston
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Noa Ronkin
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While the coronavirus pandemic has captured the world’s attention, non-communicable chronic diseases (NCDs) such as hypertension, heart diseases, and diabetes continue to be the leading cause of mortality worldwide, accounting for about two-thirds of deaths globally. Their financial and social burden is also immense, as individuals with chronic diseases face high medical spending, limited ability to work, and financial insecurity. Primary health care (PHC) is a crucial avenue for managing and preventing chronic diseases, yet many health systems, especially in low- and middle-income countries (LMICs), lack robust primary health care settings. How can policymakers improve PHC to reduce illness and death from chronic diseases?

There is little rigorous evidence from LMICs about the effectiveness of programs seeking to improve the capacity of PHC for controlling chronic disease. Now a new study, published by the Journal of Health Economics, helps fill in this gap. It offers empirical evidence on China’s efforts to promote PHC management, showing that better PHC management of chronic diseases in rural areas can reduce spending while contributing to better health. We sat down with APARC’s Asia Health Policy Program Director Karen Eggleston, one of the study co-authors, to discuss the research and its implications beyond China. Watch:

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Challenges for Primary Health Care Services

China, a large and rapidly developing middle-income country with a hospital-based service delivery system for its aging population, makes a suitable case study of efforts to promote PHC management. Over the past several decades, PHC use in China has significantly decreased relative to hospital-based care. This trend is a natural consequence of the country’s unprecedented increases in living standards and improvements in financial risk protection, which increase patients’ demand for quality care and spur self-referral to providers with higher-perceived quality like hospital outpatient departments.

The performance differences between PHC and hospital-based care are especially stark in China’s rural areas, where management of chronic diseases relies heavily on grassroots physicians, who have limited medical education and training. That is why Eggleston and her colleagues set out to provide new empirical evidence about the effectiveness of a program that promotes PHC management of hypertension and diabetes for rural Chinese. Part of the National Basic Public Health Service Program for rural Chinese, it financially rewards PHC grassroots physicians for managing residents with chronic diseases.

Collaborative Research in the Era of Great Power Competition

Eggleston’s co-authors include her colleagues at the Zhejiang Provincial Center for Disease Control and Prevention (Zhejiang CDC). Their study is the culmination of Eggleston’s multiyear collaborative research project with the Zhejiang CDC team, "Addressing Health Disparities in China," which looks to Tongxiang county in Zhejiang as a case study of China's responses to healthcare inequalities and population aging challenges in rural and urban areas. The project also involved two Stanford doctoral students who worked with Eggleston.

The team worked together to develop the quantitative analysis even during a time of sometimes-tense bilateral relations. “We found it very important to be able to communicate directly and collaborate on an important question not only for rural China but for many other parts of the world,” says Eggleston.
Karen Eggleston speaking to staff at Zhejiang Provincial CDC, China
Eggleston with her colleagues at the Zhejiang CDC during a field visit in 2018.

“This kind of collaboration, where we utilize the data that's available to answer an important question while respecting the privacy of the individuals and hopefully delivering benefits to them through more effective or affordable programs in the future perhaps is a promising model for researchers here and elsewhere to undertake,” she notes.

Disentangling the Effect of Primary Health Care Management

To study the program’s effectiveness, the researchers assembled a unique dataset linking individual-level administrative and health information between 2011 and 2015 for rural Chinese diagnosed with hypertension or diabetes in Tongxiang, a mostly rural county of Zhejiang province in southeast China. Collected by the Tongxiang CDC and Zhejiang CDC, the compiled database links basic demographic information, health insurance claims, PHC service logs, and health check-up records — four sets of data that are rarely linked and analyzed in combination in China healthcare research.

Focusing on neighboring border-straddling villages allows us to use only variation in PHC management within pairs of neighboring villages to identify the effect.
Karen Eggleston

Targeting the program’s effects on healthcare utilization, spending, and health outcomes, Eggleston and her colleagues compare residents in neighboring villages that straddle township boundaries. These residents are similar in their individual and environmental characteristics that shape health care use but are subject to different PHC management practices. This “border sampling” allows the researchers to disentangle the effects of PHC management from other underlying spatial differences that impact health care utilization. For each township, the researchers use a management intensity index that reflects the cumulative efforts of PHC physicians to screen their communities and keep patients within the PHC management programs for controlling hypertension and diabetes. Each township’s experience with PHC management over the 5-year study period is thus a case study for rural China.

Net Value in Chronic Disease Management

The results are encouraging for China's investment in primary care management of chronic diseases. Eggleston and her colleagues find that patients residing in a village within a township with more intensive PHC management had a relative increase in PHC visits, fewer specialist visits, fewer hospital admissions, and lower spending compared to neighbors with less intensive management. They also tend to have better medication adherence and better health outcomes as measured by blood pressure control.

If we can gradually scale up these kinds of effective programs at primary care then we can build more resilient, cost-effective, affordable health care systems for populations in many different settings.
Karen Eggleston

The results suggest that PHC chronic disease management in rural China improves net value in multiple ways — increasing PHC utilization, reducing avoidable hospitalizations, decreasing medical spending, and improving intermediate- and long-run health outcomes — all while leveraging existing resources rather than restricting care.

The findings also help inform investments in primary health care in LMICs. They highlight the latent potential of frontline healthcare workers in such settings to be more productive and show that financially rewarding these grassroots workers for managing residents with chronic diseases helps improve health outcomes. Moreover, they offer empirical evidence that supports the effectiveness of chronic disease management programs as part of broader regional initiatives to address population health.

Read the study by Eggleston et al

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A village medical clinic in China.
Marie Anna Lee, University of the Pacific, CC BY-NC-ND
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Empirical evidence by Karen Eggleston and colleagues suggests that better primary health care management of chronic disease in rural China can reduce spending while contributing to better health.

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