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The Supreme Court ruling eliminating the constitutional right to an abortion could also result in women’s personal reproductive health data being used against them, warns Stanford Health Policy’s Michelle Mello.

The Dobbs v. Jackson Women’s Health Organization ruling could, for example, lead to a woman’s health data in clinician emails, electronic medical records, and online period-tracking platforms being used to incriminate her or her health-care providers, Mello said.

“Ultimately, broader information privacy laws are needed to fully protect patients and clinicians and facilities providing abortion services,” writes Mello, a professor of health policy and law in this JAMA Health Forum article with colleague Kayte Spector-Bagdady, a bioethicist from the University of Michigan. “As states splinter on abortion rights after the Dobbs Supreme Court decision, the stakes for providing robust federal protection for reproductive health information have never been higher.”

Eight states banned abortions on the same day the Dobbs ruling came down, and 13 states that had “trigger bans” that, if Roe v. Wade were struck down, would automatically prohibit abortion within 30 days. Other states are considering reactivating pre-Roe abortion bans and legislators in some states intend to introduce new legislation to curb or ban the medical procedure.”

Three Potential Scenarios

The authors note these new abortion restrictions may clash with privacy protections for health information, laying out three scenarios that could impact millions of women. And, they note, “despite popular misconceptions about the breadth of the Privacy Rule of the Health Information Portability and Accountability Act (HIPAA) and other information privacy laws, current federal law provides little protection against these scenarios.”

The first scenario is that a patient’s private health information may be sought in connection with a law-enforcement proceeding or civil lawsuit for obtaining an illegal abortion. HIPAA privacy regulations and Fourth Amendment rights against unreasonable searches and seizures won’t help physicians and hospitals resist such investigative demands, the authors write. And though physician-patient communications are ordinarily considered privileged information, the scope of that privilege varies greatly from state to state. “In many cases medical record information has been successfully used to substantiate a criminal charge,” the authors write.

Ultimately, broader information privacy laws are needed to fully protect patients and clinicians and facilities providing abortion services.
Michelle Mello
Professor of Health Policy, Law

The second privacy concern is the potential use of health-care facility records to incriminate an institution or its clinicians for providing abortion services. Relevant records could include electronic health records, employee emails or paging information and mandatory reports to state agencies. Clinicians may not realize that if they are using an institutional email address or server, their institution likely has direct access to information and communications stored there, which can be used to search for violations. State Freedom of Information Act (FOIA) laws also allow citizens to request public records from employees of government hospitals and clinics.

“Additionally, state mandatory reporting laws for child abuse might be interpreted to cover abortions — particularly if life is defined as beginning at fertilization,” the authors note.

The third scenario is that information generated from a woman’s online activity could be used to show she sought an abortion or helped someone to do so. Many women use websites and apps that are not HIPAA-regulated or protected by patient-physician privilege, such as period-tracking apps used by millions of women that collect information on the timing of menstruation and sexual activity.

“There are many instances of internet service providers sharing user data with law enforcement, and prosecutors obtaining and using cellphone data in criminal prosecutions,” write Mello and Spector-Bagdady, adding commercially collected data are also frequently sold to or shared with third parties.

“Thus, pregnant persons may unwittingly create incriminating documentation that has scant legal protection and is useful for enforcing abortion restrictions,” they said.

The immediate problem, Mello notes, is in the states that have already banned abortion or passed restrictive laws.

“There could be a problem with states trying to reach outside their borders to prosecute people, but that could well be unconstitutional,” Mello said.

Some states’ laws sweep abortion pills into the definition of illegal abortions, she said, and there are legal obstacles to supplying the pills across state lines.

“There is a lot of energy going into figuring out a workaround right now, but it’s too soon to call,” Mello said.

Recommended Protections

So how can clinicians and health-care facilities protect their patients and themselves?

When counseling patients of childbearing age about reproductive health issues, clinicians should caution their patients about putting too much medical data online and refer them to expert organizations that will help them minimize their digital footprint.

When documenting reproductive health encounters, the authors said, clinicians should ask themselves: “What information needs to be in the medical record to assure safe, good-quality care, buttress our claim for reimbursement, or comply with clear legal directives?” For example, does information about why a patient may have experienced a miscarriage need to be recorded?

Patients and clinicians should be aware that email and texting may be seen by others, so conversations among staff about reproductive health issues may best be conducted by phone or in person.

Finally, if abortion-related patient information is sought by state law enforcement officials, a facility’s attorney should be consulted about asserting physician-patient privilege and determining whether the disclosure is mandated by law.

Michelle Mello

Michelle Mello

Professor of Health Policy, Law
Focuses on issues at the intersection of law, ethics and health policy.
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Michelle Mello writes that the overturning of Roe v. Wade — ending federal protection over a woman's right to an abortion — could also expose her personal health data in court.

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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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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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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.

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

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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.

 

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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

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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.





 

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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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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.

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.

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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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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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Sherri Rose, PhD  is an Associate Professor of Health Policy at the Stanford School of Medicine and Co-Director of the Health Policy Data Science Lab. Her research is centered on developing and integrating innovative statistical machine learning approaches to improve human health and health equity. Within health policy, Dr. Rose works on risk adjustment, ethical algorithms in health care, comparative effectiveness research, and health program evaluation. She has published interdisciplinary projects across varied outlets, including BiometricsJournal of the American Statistical AssociationJournal of Health EconomicsHealth Affairs, and New England Journal of Medicine. In 2011, Dr. Rose coauthored the first book on machine learning for causal inference, with a sequel text released in 2018. She has been Co-Editor-in-Chief of the journal Biostatistics since 2019.

Dr. Rose has been honored with an NIH Director's New Innovator Award, the ISPOR Bernie J. O'Brien New Investigator Award, and multiple mid-career awards, including the Gertrude M. Cox Award and the Mortimer Spiegelman Award, the nation’s highest honor in biostatistics, given to a statistician younger than 40 who has made the most significant contributions to public health statistics. She was named a Fellow of the American Statistical Association in 2020 and received the 2021 Mortimer Spiegelman Award, which recognizes the statistician under age 40 who has made the most significant contributions to public health statistics. Her research has been featured in The New York Times, USA Today, and The Boston Globe. 

Title: New and Ongoing Projects at the Interface of Machine Learning for Health Policy

 

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Professor, Health Policy
Professor, Computer Science (by courtesy)
sherri_rose-portrait.jpg PhD

Sherri Rose, Ph.D. is a Professor of Health Policy and, by courtesy, of Computer Science at Stanford University, where she is Director of the Health Policy Data Science Lab. Her research is centered on developing and integrating innovative statistical machine learning approaches to improve human health and health equity. Within health policy, Dr. Rose works on ethical algorithms in health care, risk adjustment, chronic kidney disease, and health program evaluation. She has published interdisciplinary projects across varied outlets, including Biometrics, Journal of the American Statistical Association, Journal of Health Economics, Health Affairs, and New England Journal of Medicine. In 2011, Dr. Rose coauthored the first book on machine learning for causal inference, with a sequel text released in 2018.

Dr. Rose has been honored with an NIH Director’s Pioneer Award, NIH Director's New Innovator Award, the ISPOR Bernie J. O'Brien New Investigator Award, and multiple mid-career awards, including the Gertrude M. Cox Award. She is a Fellow of the American Statistical Association (ASA) and received the Mortimer Spiegelman Award, which recognizes the statistician under age 40 who has made the most significant contributions to public health statistics. In 2024, she received both the ASHEcon Willard G. Manning Memorial Award for Best Research in Health Econometrics and the ASA Outstanding Statistical Application Award. She was recently awarded the Open Science Champion Prize by Stanford University. Her research has been featured in The New York Times, USA Today, and The Boston Globe. She was Co-Editor-in-Chief of the journal Biostatistics from 2019-2023.

She received her Ph.D. in Biostatistics from the University of California, Berkeley and a B.S. in Statistics from The George Washington University before completing an NSF Mathematical Sciences Postdoctoral Research Fellowship at Johns Hopkins University. 

Director, Health Policy Data Science Lab
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Associate Professor of Health Policy Stanford University
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Title: Customer Discrimination and Quality Signals: A Field Experiment with Healthcare Shoppers

Abstract: This paper provides evidence that customer discrimination in the market for doctors can be largely accounted for by statistical discrimination. I evaluate customer preferences in the field with an online platform where cash-paying consumers can shop and book a provider for medical procedures based on an experimental paradigm called validated incentivized conjoint analysis (VIC). Customers evaluate doctor options they know to be hypothetical to be matched with a customized menu of real doctors, preserving incentives. Racial discrimination reduces patient willingness-to-pay for black and Asian providers by 12.7% and 8.7% of the average colonoscopy price respectively; customers are willing to travel 100–250 miles to see a white doctor instead of a black doctor, and somewhere between 50–100 to 100–250 miles to see a white doctor instead of an Asian doctor. Further, providing signals of provider quality reduces this willingness-to-pay racial gap by about 90%, which suggests that statistical discrimination is an important cause of the gap. Actual booking behavior allows cross-validation of incentive compatibility of stated preference elicitation via VIC. 

Alex Chan, MPH

Alex Chan is a PhD candidate in Health Economics, and a Gerhard Casper Stanford Graduate Fellow. He has research interests in health economics, experimental economics, market design, and labor economics. His projects look at the causes and consequences of discrimination and diversity in medicine, U.S. Health Policy (especially organ transplantation), and market design in health policy and medicine. He holds an MPH from Harvard University. Before Stanford, he developed extensive experience in the healthcare industry starting as a McKinsey consultant, and most recently as Senior Vice President of Market Strategy with Optum/UnitedHealth before joining academia.

Personal Website: https://www.alexchan.net 

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PhD Student Alumni, SHP
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Alex Chan graduated with a PhD in 2023.

PhD Candidate in Health Economics Department of Health Policy, Stanford University
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Timothy J. Layton, PhD

Associate Professor of Health Care Policy, Department of Health Care Policy, Harvard Medical School

His research focuses on the economics of health insurance markets with particular emphasis on understanding insurer behavior in those markets and designing optimal health plan payment systems. 

Dr. Layton and his collaborators are using economic models of health insurer behavior to design payment systems that combat inefficiencies caused by adverse selection. In one project, he and his coauthors are deriving new methods for designing health plan payment systems that set payments to insurers in a way that discourages insurers from inefficiently rationing care used by sick individuals with multiple chronic conditions. This work focuses on designing payment systems for the state and federal Health Insurance Marketplaces, as well as the Dutch health insurance market and the Medicare Advantage program.

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Timothy J. Layton Associate Professor Department of Health Care Policy, Harvard Medical School
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