Despite technological breakthroughs, healthcare inequality remains a pressing public health challenge across developed and developing nations. Low levels of income or education mobility can exacerbate socioeconomic disparities, leaving children from disadvantaged families with fewer opportunities to improve their social and economic prospects. Moreover,  children in families with low-income backgrounds are also more likely to experience poor health outcomes, perpetuating a cycle of disadvantage.

Huixia Wang, a visiting scholar at Shorenstein APARC, sees this phenomenon as an opportunity to better understand the dynamics of intergenerational health and how to interrupt patterns of persistent health inequalities across generations. Her research aims to identify potential interventions to improve health outcomes in developing regions.

An associate professor at Hunan University, Wang has spent the 2024 fall quarter at APARC. She recently presented her research on the intricate dynamics of intergenerational health metrics, particularly in China and Indonesia. Watch her talk, “Intergenerational Persistence of Self-Reported Health Status and Biomarkers in Indonesia,” on our YouTube channel.

Barriers to Intergenerational Health

While much has been written about the transmission of income and education across generations, “much less is known about how health is passed down between generations," Wang notes, highlighting a gap in the existing research. Emphasizing that health is a crucial factor in determining overall well-being, as it affects everything from mental health to economic productivity and social mobility, she asserts that good health is linked to better educational outcomes, higher earning potential, and improved labor market performance. Poor health, on the other hand, is associated with lower educational attainment, reduced employment prospects, and higher rates of chronic illness.

Wang’s research approach centers on recognizing the multiple challenges in implementing maternal health-oriented policies. Having identified limited access to healthcare services as a significant barrier, she considers how, in many low-income and rural areas, “access to quality healthcare is constrained by poor infrastructure, lack of transportation, and shortages of healthcare professionals, making it difficult for pregnant women to receive essential care.”

Another obstacle is the prohibitive cost of healthcare. In countries where maternal health services are not subsidized or free, the financial burden of out-of-pocket expenses for transportation, medications, and other related costs can prevent women from accessing necessary care. Furthermore, Wang shows that low levels of maternal health education can contribute to poor health-seeking behaviors. “Many women may not recognize the warning signs of complications, may not fully understand the importance of prenatal care, or may be unaware of their rights to healthcare services,” she says.

Measuring Health Outcomes Across Generations

Wang acknowledges the difficulties in studying intergenerational health mobility, as it cannot be neatly defined and measured by observable metrics such as income or education. Health is much more subjective and varies from person to person. To gauge health outcomes, researchers must therefore rely on diverse and sometimes imprecise indicators, such as the presence of chronic diseases.

Moreover, to examine intergenerational mobility, researchers need data that includes health information for both parents and children. Such datasets are not always readily available, and those that do exist often lack the necessary granularity and long-term tracking to provide meaningful insights.

To overcome these challenges, Wang draws on a variety of panel data that tracks individuals over time, as well as survey data and self-reported status. For Wang, longitudinal studies are crucial for understanding how health disparities manifest and evolve over time. 

Using data from the Indonesia Family Life Survey, she combines subjective measures like self-reported health and objective measures such as pulse, BMI, hypertension, and anemia to capture a more complete picture of health mobility. This approach expands beyond previous studies, which typically relied on fewer health indicators and focused on developed countries. Her study includes a broad range of health variables and provides a unique look at the role of gender and socioeconomic factors in shaping health outcomes across generations.

Wang uses two primary methods for measuring intergenerational health mobility: one following the Intergenerational Health Association, which regresses children's health outcomes on those of their parents, and rank-rank regressions, which examine the persistence of health outcomes by analyzing percentile ranks. These techniques, adapted from income mobility research, allow her to assess health persistence and mobility across generations.

Future Directions and Policy Impact

Wang’s time at APARC has been instrumental in shaping and refining her research. "The opportunity to engage with experts from various fields [...] opened my eyes to new ways of thinking about my research," she shared. "The collaborative environment at APARC also made me realize how much I can learn from perspectives outside my immediate area of focus.”

Wang credits Stanford’s vibrant academic environment, with its rich array of seminars and talks, to broadening her understanding of Southeast Asian health systems, a subject she was less familiar with. She expressed gratitude to APARC faculty for their “invaluable guidance for both my research and my life at Stanford.” In particular,  APARC’s Asia Health Policy Program Director Karen Eggleston “dedicated a significant amount of time to advising my work, introducing me to key researchers in my field, and sharing the valuable resources that I might benefit from on campus,” Wang said.

Looking ahead, she is excited to continue exploring the role of health in intergenerational mobility, particularly in the Southeast Asian context, and plans to expand her research into the health effects of pollution, an area she has already begun to investigate. Wang also hopes to contribute to policymaking that addresses health inequality. By providing a deeper understanding of how health disparities are perpetuated across generations, she aims to inform policies that could improve health outcomes and reduce inequality in developing countries.

Wang’s research on intergenerational health mobility offers a fresh and much-needed perspective on the crucial yet understudied role of health in social mobility. She hopes her research helps policymakers and scholars address health inequalities that perpetuate socioeconomic disadvantage across generations.

Do increases in medical spending improve health outcomes? To answer this question, analysts need to quantify the net value of medical spending and measure the productivity of medical care with the output of improvement in survival and quality of life, thereby deducing for what medical conditions the “bang for the buck” is greatest and for what conditions spending outstrips gains in health improvement.

This condition-specific, quality-adjusted net value approach to health spending is known as a “satellite account for health” because it “orbits around” the national income and product accounts that include aggregate health spending to provide a clearer picture of productivity in the health sector. Thus far, researchers have applied this account to the U.S. health sector only, but it would be highly beneficial for many economies. One notable beneficiary would be South Korea, one of the most rapidly aging societies globally. Now new research by Karen Eggleston, the director of APARC’s Asia Health Policy Program, studies the link between medical spending and health outcomes in South Korea, providing evidence on the productivity of medical spending over recent decades.

The research, published by the East-West Center, develops an estimate of the net value of Korean medical spending, which has outpaced most other countries in recent decades. To generate this estimate, Eggleston compares the gains in life expectancy at birth to the increases in medical spending for 2000–2019. Data comes from Korean lifetables and medical expenditures per capita, available from the Korean Statistical Information Services.

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Eggleston shows that, even with the most conservative assumptions ($50,000 per life-year and only 10 percent of health gains due to medical care), the net value of Korean medical spending is positive and substantial. Korean life expectancy at birth increased from 76 in 2000 to 83.3 in 2019, while lifetime medical spending increased by over $19,000. The value of 7.3 additional years of life far outweighs even this rapid increase in spending, implying substantial productivity growth in Korea’s health sector.

Moreover, evidence on condition-specific spending changes and health improvements suggests that Korea’s rapid spending increases yield significant net value. Eggleston’s research indicates that improvements in survival for key conditions afflicting Koreans, such as stroke and cancer, point to productivity gains. “Korea could be a pioneer in developing a national health account that accurately measures net value by medical condition,” she writes.

Condition-specific metrics of health gain per won spent on treatment can help to guide the allocation of investments to promote longer, healthier lives. In the future, analysts could also link condition-specific improvements in survival and morbidity to earnings. Such linkage would particularly benefit South Korea, where focusing on the productivity of older adult employment is crucial given its high labor force participation and relatively low income of older Koreans.

Eggleston advocates for the Korean government to develop a national satellite account for health that can provide valuable evidence for prioritizing investments to address the country’s most pressing health challenges so that productivity improvement will contribute to longer, healthier lives. “By linking National Health Insurance and health outcome data, Korea could develop an accurate measure of medical productivity and a more accurate measure of overall economic productivity, while pioneering development of ‘health satellite accounts’ for overall populations,” Eggleston argues.