Health Care
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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

Journal Publisher
The Lancet Public Health
Authors
Megumi Kasajima
Karen Eggleston
Shoki Kusaka
Hiroki Matsui
Tomoki Tanaka
Bo-Kyung Son
Katsuya Iijima
Kazuo Goda
Masaru Kitsuregawa
Jay Bhattacharya
Hideki Hashimoto
Authors
Noa Ronkin
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News
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No health system can function without health workers — nurses, paramedical professionals, medical laboratory technicians, care assistants, and more — who make it possible to deliver health care. This has led the World Health Organization (WHO) to declare “No health without a workforce” as a universal truth. Yet relatively few studies have analyzed the relationship between health workforce and health outcomes, and some such cross-country and within-country studies show inconsistent results.

A new study published in the journal Social Indicators Research addresses this gap by investigating the strength and significance of the associations of the health workforce with multiple health outcomes and COVID-19 excess deaths across countries. The coauthors of the study — Karen Eggleston, APARC Asia Health Policy Program Director and FSI Senior Fellow, and Jinlin Liu, a professor at China’s Northwestern Polytechnical University’s School of Public Policy and Administration and a 2019-20 visiting scholar at APARC — find that higher density of the health workforce was significantly associated with better levels of multiple health outcomes and with a lower level of COVID-19 excess deaths per 100,000 people.

The study also confirms the pivotal role of socioeconomic factors in affecting health outcomes and underscores the wide disparities in health outcomes across countries in different income categories. In light of the strains on the health workforce during the coronavirus pandemic, this research also emphasizes the importance of investing in the health workforce to strengthen health system resilience and achieve long-term improvement in health outcomes.


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Determining Country-Level Health Outcomes 

Eggleston and Liu investigated how the density of skilled health workers — medical doctors and nursing and midwifery personnel for each country — affected six measures of health outcomes. These measures included maternal mortality ratio, under-five mortality rate, and neonatal mortality rate — all of which are health-related Sustainable Development Goals (SDG) indicators — plus healthy life expectancy at birth, the mortality rate of teens and adults aged 15−60, and infant mortality rate. The researchers also examined COVID-19 excess deaths per 100,000 people as a health outcome measure proxying for the health impact of the coronavirus pandemic.

Additionally, Eggleston and Liu collected and analyzed data on four measures to account for country-level socioeconomic factors pertinent to determining health outcomes. These explanatory variables included health spending per capita, gross national income per capita, poverty headcount ratio, and the mean years of female schooling as a proxy for female educational attainment. They used the latest WHO dataset on the global health workforce, covering 191 WHO member countries.

Our results underscore the importance of accounting for poverty and the broader social determinants of health when studying the association of health outcomes with the health workforce, and the distinction between cross-individual and cross-country disparities.
Karen Eggleston & Jinlin Liu

The researchers found that countries with a higher density of skilled health workers could expect to have better health outcomes across all six measures of health outcomes. Unsurprisingly, high-income countries generally enjoy a high density of skilled health workers and world-leading health outcomes, whereas low-income countries suffer from a shortage of health workers and poor health outcomes. A higher density of skilled health workers was also significantly correlated with a lower level of COVID-19 excess deaths per 100,000 people, highlighting the importance of the health workforce under the pandemic.

A Cause and Effect of Socioeconomic and Health-System Developments

The cross-country results confirm the importance of the health workforce in affecting multiple health outcomes. “Therefore, investment in health workforce should be an integral part of the strategies to improve health outcomes and achieve health-related SDGs for every country, especially for low- and lower-middle-income countries,” write Eggleston and Liu. The vast majority of these countries (about 80%) are tremendously off track to meet the health-related SDGs by 2030.

From a global perspective, the data underscores the wide disparities in health outcomes between different countries, especially between those most and least advantaged (e.g., healthy life expectancy at birth of 44.9 years in the Central African Republic compared with 76.2 years in Singapore).

A strong health workforce contributes to better health outcomes and is itself a manifestation of a country’s previous investments that reduced poverty, improved health outcomes, and laid the foundation for a robust health system.
Karen Eggleston & Jinlin Liu

It is difficult, however, to improve disparities in health outcomes between countries in different income categories by improving the density of the health workforce alone. The reason is that socioeconomic factors, as the data confirms, are critical determinants of health outcomes. For example, higher health expenditure per capita and the poverty headcount ratio have significant associations with all six health outcomes, while female education is interrelated with broader social determinants of health.

Thus, the relationship between the health workforce and health outcomes is the cause and effect of broader socioeconomic and health-system developments. “A strong health workforce contributes to better health outcomes and is itself a manifestation of a country’s previous investments that reduced poverty, improved health outcomes, and laid the foundation for a robust health system,” Eggleston and Liu explain.

Investment in the health workforce is an urgent task, the researchers conclude. It should be an integral part of strategies to achieve health-related SDGs, and these strategies, in turn, should include means to achieving complementary non-health SDGs related to poverty alleviation and expansion of female education.

Karen Eggleston 4X4

Karen Eggleston

Senior Fellow at the Freeman Spogli Institute for International Studies and Director of the Asia Health Policy Program, Shorenstein APARC
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In China, Health Care Utilization Increases at Retirement, a New Study Shows

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Analyzing data from 191 World Health Organization member countries, a new study from APARC’s Karen Eggleston indicates that strengthening the health workforce is an urgent task in the post-COVID era critical to achieving health-related Sustainable Development Goals and long-term improvement in health outcomes, especially for low- and lower-middle-income countries.

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Cover of the journal Social Indicators Research
This study investigates the strength and significance of the associations of health workforce with multiple health outcomes and COVID-19 excess deaths across countries, using the latest WHO dataset.

Multiple log-linear regression analyses, counterfactual scenarios analyses, and Pearson correlation analyses were performed. The average density of health workforce and the average levels of health outcomes were strongly associated with country income level. A higher density of the health workforce, especially the aggregate density of skilled health workers and density of nursing and midwifery personnel, was significantly associated with better levels of several health outcomes, including maternal mortality ratio, under-five mortality rate, infant mortality rate, and neonatal mortality rate, and was significantly correlated with a lower level of COVID-19 excess deaths per 100K people, though not robust to weighting by population.

The low density of the health workforce, especially in relatively low-income countries, can be a major barrier to improving these health outcomes and achieving health-related Sustainable Development Goals (SDGs); however, improving the density of the health workforce alone is far from enough to achieve these goals. Our study suggests that investment in health workforce should be an integral part of strategies to achieve health-related SDGs, and that achieving non-health SDGs related to poverty alleviation and expansion of female education are complementary to achieving both sets of goals, especially for those low- and middle-income countries. In light of the strains on the health workforce during the current COVID-19 pandemic, more attention should be paid to health workforce to strengthen health system resilience and long-term improvement in health outcomes.

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Social Indicators Research
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Karen Eggleston
Jinlin Liu
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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

Journal Publisher
Social Science & Medicine
Authors
Radhika Jain

This event will offer simultaneous translation between Japanese and English. 
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Febuary 14, 4-5:30 p.m. California time/ February 15, 9-10:30 a.m. Japan time

This event is part of the 2022 Japan Program Winter webinar series, The Future of Social Tech: U.S.-Japan Partnership in Advancing Technology and Innovation with Social Impact

 

COVID-19 has changed the way we work. While remote work has become the norm, the pandemic has also highlighted the inequity in childcare, elderly care, and household work. Japanese workplaces feel a particularly acute need for adjustment, as lack of digitalization and persistent gender inequality continue to limit productivity gains and diversity in the workforce. Social entrepreneurs in Japan have started offering new technologies that address these problems and transform Japanese work environments, using matching algorithms, innovative apps, and other new technologies. How can these social technologies reshape the workplace? What principles do we need in using these technologies in practice, in order to unlock the keys to untapped human resource potentials and realize a more equitable and inclusive work environment in Japan, the United States, and elsewhere?  Fuhito Kojima, a renowned economist specializing in matching theory, will talk about market design from the perspective of regulation design and economics, and Eiko Nakazawa, an influential entrepreneur, will speak about her experiences founding education and childcare startups in the United States and Japan, moderated by Yasumasa Yamamoto, a leading expert on technology and business in Japan and the United States. 

 

Panelists

Image
Photo of Fuhito Kojima
Fuhito Kojima is a Professor of Economics at the University of Tokyo and Director of the University of Tokyo Market Design Center. He received a B.A. at University of Tokyo (2003) and PhD at Harvard (2008), both in economics and taught at Yale (2008-2009, as postdoc) and then Stanford (2009-2020, as professor) while spending one year at Columbia in his sabbatical year. His research involves game theory, with a particular focus on “market design,” a field where game-theoretic analysis is applied to study the design of various mechanisms and institutions. His recent works include matching mechanism designs with complex constraints, and he is working on improving medical residency match and daycare seat allocation in Japan based on his academic work. Outside of academia, he serves as an advisor for Keizai Doyu Kai as well as several private companies.

 

Image
Photo of Eiko Nakazawa
Eiko Nakazawa is the Founder and CEO of Dearest, Inc., a VC-Backed startup in the United States that makes high-quality learning, childcare, and parenting support accessible by helping employers subsidize those costs for their working families. She also advises and invests in early-stage startups, and has recently co-founded Ikura, Inc., an education x fintech company in Japan. Prior to founding Dearest, Nakazawa spent 11 years with Sony Corporation, where she led global marketing, turnaround, and new business launch initiatives. Nakazawa earned an M.S. in Management from Stanford Graduate School of Business.

 

 

Moderator

Image
Photo of Yasumasa Yamamoto
Yasumasa Yamamoto is a Visiting Professor at Kyoto University graduate school of management and has been a specialist in emerging technology such as fintech, blockchain, and deep learning. He was previously industry analyst at Google, senior specialist in quantitative analysis of secularized products, as well as derivatives at Bank of Tokyo Mitsubishi in New York. Yamamoto holds a M.S. from Harvard University and a masters degree from University of Tokyo.





 

Via Zoom Webinar
Register:  https://bit.ly/3odkWFT 

 

 

Fuhito Kojima <br>Professor of Economics at the University of Tokyo<br><br>
Eiko Nakazawa <br>Founder and CEO, Dearest Inc.<br><br>
Yasumasa Yamamoto <br>Visiting Professor at Kyoto University
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Authors
Noa Ronkin
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As the COVID-19 pandemic remains a crucial global public health threat, pandemic control measures such as lockdowns and mobility restrictions continue to disrupt the provision of health services, leading to reduced healthcare use. Indeed, evidence shows the pandemic has emerged as a particular challenge for people with chronic conditions such as diabetes and hypertension. Yet there is limited data comparing the pandemic’s impact on access to care and the severity of chronic disease symptoms at the population level across Asia.

Now a new collaborative study, published by the Asia Pacific Journal of Public Health, addresses this limitation. The study co-authors, including APARC’s Asia Health Policy Program Director and FSI Senior Fellow Karen Eggleston, offer the first report comparing the impacts of the COVID-19 pandemic and its associated mobility restrictions on people with chronic conditions at different stages of socio-demographic and economic transitions in five Asian regions — India, China, Hong Kong, Korea, and Vietnam.

The findings show that the pandemic has disproportionately disrupted healthcare access and worsened diabetes symptoms among marginalized and rural populations in Asia. Moreover, the pandemic’s broad social and economic impact has adversely affected population health well beyond those directly suffering from COVID-19, with the resulting delayed and foregone care leading to uncertain longer-term effects.


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Unintended Adverse Consequences

Routine screening, risk factor control, and continuity of care for non-communicable diseases are a global challenge. The COVID-19 pandemic has exacerbated the challenge even further. Existing reports show the pandemic has particularly adverse impacts on essential prevention and treatment services for people with chronic conditions. These reductions in health services arose from pandemic-associated factors such as mobility restrictions, lack of public transport, and lack of health workforce.

Eggleston and a group of colleagues set out to provide evidence on how the pandemic has impacted chronic disease care in diverse settings across Asia during COVID-19-related lockdowns. Using standardized questionnaires, the researchers surveyed 5672 participants aged 55.9 to 69.3 years with chronic conditions in India, China, Hong Kong, Korea, and Vietnam. The researchers collected data on participants’ demographic and socio-economic status, comorbidities, access to healthcare, employment status, difficulty in accessing medicines due to financial and nonfinancial (COVID-19 related) reasons, treatment satisfaction, and severity of their chronic condition symptoms.

If no immediate actions are taken to mitigate pandemic impacts, the Asia-Pacific region will struggle to achieve the 2030 Sustainable Development Goal target 3.4 to reduce premature mortality from non-communicable diseases […] and to promote mental health and wellbeing.
Karen Eggleston et al.

The results show that the pandemic’s broad social and economic impact has adversely affected population health well beyond those directly suffering from COVID-19. Study participants with chronic conditions faced significant challenges in managing their symptoms during the pandemic. They experienced a loss of income and difficulties in accessing healthcare or medications, with the resulting delayed and foregone care leading to uncertain longer-term effects. For a nontrivial portion of participants, these factors are associated with the worsening of diabetes symptoms. The threat is twofold among people living in rural populations with limited access, availability, and affordability of healthcare services.

A Global Health Priority

The unintended adverse consequences of the COVID-19 pandemic on chronic disease care may also further aggravate inequality in health outcomes. “If the trend continues and no immediate actions are taken to mitigate pandemic impacts,” Eggleston and her colleagues caution, then “the Asia-Pacific region will struggle to achieve the 2030 Sustainable Development Goal (SDG) target 3.4 to reduce premature mortality from non-communicable diseases by a third relative to 2015 levels and to promote mental health and wellbeing.”

Addressing the pandemic’s unintended negative social and economic impacts on chronic disease care is a global health priority, determine the researchers. They propose several measures to help provide timely care for people with chronic conditions in resource-constrained settings. These include implementing innovations in healthcare delivery models to improve the adoption of healthy lifestyle changes and self-management of chronic disease and mild COVID-19 symptoms, increasing investment in interventions to provide social and economic support to disadvantaged populations, and strengthening primary healthcare infrastructure and support of healthcare providers.

The study was supported in part by funding from Shorenstein APARC’s faculty research award, Stanford King Center for Global Development, and a seed grant from the Stanford Center for Asian Health Research and Education.

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In the first report of its kind comparing the impacts of the pandemic on people with chronic conditions in five Asian regions, researchers including APARC’s Karen Eggleston document how the pandemic’s broad social and economic consequences negatively affected population health well beyond those directly suffering from COVID-19.

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Cover of Issue 34(1) of Asia Pacific Journal of Public Health, January 2022
This study aims to provide evidence on how the COVID-19 pandemic has impacted chronic disease care in diverse settings across Asia. Cross-sectional surveys were conducted to assess the health, social, and economic consequences of the pandemic in India, China, Hong Kong, Korea, and Vietnam using standardized questionnaires.

Overall, 5672 participants with chronic conditions were recruited from 5 countries. The mean age of the participants ranged from 55.9 to 69.3 years. A worsened economic status during the COVID-19 pandemic was reported by 19% to 59% of the study participants. Increased difficulty in accessing care was reported by 8% to 24% of participants, except Vietnam: 1.6%. The worsening of diabetes symptoms was reported by 5.6% to 14.6% of participants, except Vietnam: 3%. In multivariable regression analyses, increasing age, female participants, and worsened economic status were suggestive of increased difficulty in access to care, but these associations mostly did not reach statistical significance. In India and China, rural residence, worsened economic status and self-reported hypertension were statistically significantly associated with increased difficulty in access to care or worsening of diabetes symptoms.

These findings suggest that the pandemic disproportionately affected marginalized and rural populations in Asia, negatively affecting population health beyond those directly suffering from COVID-19.

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Asia Pacific Journal of Public Health
Authors
Karen Eggleston
Kavita Singh
Yiqian Xin
Yuyin Xiao
Jianchao Quan
Daejung Kim
Thi-Phuong-Lan Nguyen
Dimple Kondal
Xinyi Yan
Guohong Li
Carmen S. Ng
Hyolim Kang
Hoang Minh Nam
Sailesh Mohan
Lijing L. Yan
Chenshu Shi
Jiayin Chen
Hoa Thi Hong Hanh
Viswanathan Mohan
Sandra Kong
Shorenstein APARC Encina Hall E301 Stanford University
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Visiting Scholar at APARC, 2021-2022
huijun_cynthia_chen.jpeg
Ph.D

Dr. Cynthia Chen joined the Walter H. Shorenstein Asia-Pacific Research Center (APARC) as visiting scholar with the Asia Health Policy Program during the 2022 winter and spring quarters. She is an Assistant Professor at the National University of Singapore (NUS). Her current research focuses on the well-being and older adults, healthcare financing, and the economics of ageing. She is interested in how demographic, economic and social changes can affect the burden of care, financing needs and optimal resource allocation in the future. Her research has been supported by the Singapore’s Ministry of Health, Ministry of Education, the US National Institutes of Aging, and the Thai Health Promotion Foundation among others. To date, she has published more than 45 internationally peer-reviewed journals on societal ageing, the burden of chronic diseases, and cost-effectiveness research. Dr. Chen obtained her Ph.D. in Public Health, Masters and BSc in Statistics from NUS.

Paragraphs

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
Journal Publisher
Applied Economics
Authors
Qin Zhou
Qing He
Karen Eggleston
Gordon G. Liu
Authors
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 parent holds a child waiting to be given an infusion at an area hospital in China.
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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
Closeup on hands holding a glucometer
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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
Logo of the New South Wales Ministry of Health's podcast Future Health
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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
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Subtitle

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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