Health and Medicine

FSI’s researchers assess health and medicine through the lenses of economics, nutrition and politics. They’re studying and influencing public health policies of local and national governments and the roles that corporations and nongovernmental organizations play in providing health care around the world. Scholars look at how governance affects citizens’ health, how children’s health care access affects the aging process and how to improve children’s health in Guatemala and rural China. They want to know what it will take for people to cook more safely and breathe more easily in developing countries.

FSI professors investigate how lifestyles affect health. What good does gardening do for older Americans? What are the benefits of eating organic food or growing genetically modified rice in China? They study cost-effectiveness by examining programs like those aimed at preventing the spread of tuberculosis in Russian prisons. Policies that impact obesity and undernutrition are examined; as are the public health implications of limiting salt in processed foods and the role of smoking among men who work in Chinese factories. FSI health research looks at sweeping domestic policies like the Affordable Care Act and the role of foreign aid in affecting the price of HIV drugs in Africa.

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The Effects of U.S. School Shootings on Children’s Antidepressant Use

More than 220,000 American students have experienced a school shooting since the 1998 Columbine High massacre. School shootings are vastly more common in the U.S. than in any other developed country, and are becoming more frequent and deadly in recent years. While these events receive widespread media coverage and incite public debates, there is little empirical research quantifying their population-level mental health impacts. We combined data on 44 school shootings between January 2008 and April 2013 with data on antidepressant prescriptions filled at retail pharmacies between January 2006 and March 2015. We compared the number of antidepressants prescribed to children under age 20 by providers located in close proximity of a school that experienced a shooting (shooting-exposed area) to those prescribed to children by providers located slightly further away (reference group), both in the two years before and the two years after a shooting. The average number of monthly antidepressant prescriptions written to children was significantly higher in the shooting-exposed areas relative to the reference groups in the two years after a fatal shooting versus the two years before. The effect persisted when extending the post-shooting observation window to three years and was similar when using an alternative reference group of providers located in close proximity to observationally similar schools without a shooting. We found no significant effects on children’s antidepressant prescriptions following non-fatal shootings or on adult antidepressant use. Our results suggest that local exposure to fatal school shootings increases antidepressant use among children under 20 years old, a previously unmeasured cost of these events.



Maya Rossin-Slater
Assistant Professor of Health Research and Policy, Stanford University
Faculty Fellow, SIEPER
Faculty Research Fellow, NBER
Research Affiliate, IZA


Maya Rossin-Slater is an Assistant Professor of Health Research and Policy at Stanford University School of Medicine. She is also a Faculty Fellow at the Stanford Institute for Economic Policy Research (SIEPR), a Faculty Research Fellow at the National Bureau of Economic Research (NBER) and a Research Affiliate at the Institute of Labor Economics (IZA). She received her Ph.D. in Economics from Columbia University in 2013, and was an Assistant Professor of Economics at the University of California, Santa Barbara from 2013 to 2017. Rossin-Slater’s research includes work in health, public, and labor economics. She focuses on issues in maternal and child well-being, family structure and behavior, and policies targeting disadvantaged populations in the United States and other developed countries.

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Background:

The amount of insulin needed to effectively treat type 2 diabetes worldwide is unknown. It also remains unclear how alternative treatment algorithms would affect insulin use and disability-adjusted life-years (DALYs) averted by insulin use, given that current access to insulin (availability and affordability) in many areas is low. The aim of this study was to compare alternative projections for and consequences of insulin use worldwide under varying treatment algorithms and degrees of insulin access.

Methods:

We developed a microsimulation of type 2 diabetes burden from 2018 to 2030 across 221 countries using data from the International Diabetes Federation for prevalence projections and from 14 cohort studies representing more than 60% of the global type 2 diabetes population for HbA1c, treatment, and bodyweight data. We estimated the number of people with type 2 diabetes expected to use insulin, international units (IU) required, and DALYs averted per year under alternative treatment algorithms targeting HbA1c from 6·5% to 8%, lower microvascular risk, or higher HbA1c for those aged 75 years and older.

Findings:

The number of people with type 2 diabetes worldwide was estimated to increase from 405·6 million (95% CI 315·3 million–533·7 million) in 2018 to 510·8 million (395·9 million–674·3 million) in 2030. On this basis, insulin use is estimated to increase from 516·1 million 1000 IU vials (95% CI 409·0 million–658·6 million) per year in 2018 to 633·7 million (500·5 million–806·7 million) per year in 2030. Without improved insulin access, 7·4% (95% CI 5·8–9·4) of people with type 2 diabetes in 2030 would use insulin, increasing to 15·5% (12·0–20·3) if insulin were widely accessible and prescribed to achieve an HbA1c of 7% (53 mmol/mol) or lower. If HbA1c of 7% or lower was universally achieved, insulin would avert 331 101 DALYs per year by 2030 (95% CI 256 601–437 053). DALYs averted would increase by 14·9% with access to newer oral antihyperglycaemic drugs. DALYs averted would increase by 44·2% if an HbA1c of 8% (64 mmol/mol) were used as a target among people aged 75 years and older because of reduced hypoglycaemia.

Interpretation:

The insulin required to treat type 2 diabetes is expected to increase by more than 20% from 2018 to 2030. More DALYs might be averted if HbA1c targets are higher for older adults.

Funding:

The Leona M and Harry B Helmsley Charitable Trust

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Joshua Salomon, PhD
Professor of Medicine
Stanford University

Joshua Salomon is a Professor of Medicine and a core faculty member in the Center for Health Policy and the Center for Primary Care and Outcomes Research. His research focuses on priority-setting in global health, within three main substantive areas: (1) measurement and valuation of health outcomes; (2) modeling patterns and trends in major causes of global mortality and disease burden; and (3) evaluation of health interventions and policies.

Dr. Salomon is an investigator on projects funded by the Centers for Disease Control, National Institutes of Health and the Bill & Melinda Gates Foundation, relating to modeling of infectious and chronic diseases and associated intervention strategies; methods for economic evaluation of public health programs; measurement of the global burden of disease; and assessment of the potential impact and cost effectiveness of new health technologies.

He is Director of the Prevention Policy Modeling Lab, which is a multi-institution research consortium that conducts health and economic modeling relating to infectious disease. Prior to joining the Stanford faculty, Dr. Salomon was Professor of Global Health at Harvard T.H. Chan School of Public Health.

Lunch provided to those who RSVP.

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Beth Duff-Brown
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U.S. social insurance programs traditionally have been paid out to beneficiaries directly by the federal government. But the last two decades have seen an accelerated effort to subsidize private health insurance plans to provide Medicare and Medicaid benefits.

The United States has a large private health insurance sector — accounting for more than $1.1 trillion of health-care spending in 2016. Yet the taxpayer-funded Medicare and Medicaid (including special insurance for children ) account for even more than that, about $1.2 trillion, or some 40 percent of overall health-care spending in this country.

In Medicaid, which provides health care to low-income Americans, as many as 80 percent of beneficiaries are enrolled in publicly-funded, but privately-run managed care plans. That figure for Medicare, which covers the elderly and disabled, stands at more than 30 percent for their medical coverage, and many more for their drug coverage.

Over the past decade, the share of subsidization of privately run insurance plans as opposed to direct reimbursement of providers in public spending on Medicare and Medicaid has almost doubled, increasing from 22 percent to 40 percent.

“These changes raise very different policy questions, as this moves us from thinking about how, for example, Medicare should reimburse health-care providers, to how it should pay private insurers,” said Stanford Health Policy health economist, Maria Polyakova.

With the growing overlap between the public and private sources of health insurance, Polyakova worries that there is too much room for costly mistakes, or outright shenanigans.

“There’s a lot of confusion among Medicare beneficiaries about who pays how much for their benefits, as subsidies to private insurers are complex and not transparent,” said Polyakova, an assistant professor of Health Research and Policy at the School of Medicine and faculty fellow at the Stanford Institute for Economic Policy Research.

“Similarly, for policymakers, figuring out how to pay insurers rather than health-care providers raises complicated policy design questions,” Polyakova said. “We have to set up subsidies in a way that benefits patients and a competitive market, but also be aware that the private firms operating in these markets are very sophisticated and will take any advantage of any design loopholes.”

Polyakova and colleagues set out to find a formula that could benefit all sides. To do so, they focused on the private provision of prescription drug benefit in Medicare Part D. Their findings were recently released in a working paper by the National Bureau of Economic Research. 

More than 50 million individuals benefit from Medicare, which accounts for $500 billion in annual budgetary outlays by the federal government. Once enrolled in Medicare, consumers have a choice of more than a dozen Prescription Drug Plans (PDP) under what is known as the Medicare Part D program. This drug program launched in 2006 is a rapidly growing market that accounts for about a fifth of overall federal spending in Medicare, about $100 billion.

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“Beyond its sheer economic size, this market further plays an important role in policymaking, as it has become the role model for private provision of publicly funded social insurance,” wrote Polyakova and her co-authors.

Consumers of Part D bear only a small portion of the program’s cost. A consumer pays on average a $40 monthly premium, although premiums vary widely. For each consumer, the government is sending on average an additional $55 to the plan in which the consumer is enrolled, with much higher subsidies for consumers with greater health problems. The government pays the full premium for low-income beneficiaries.

The independent insurance firms are quite satisfied with the 50-percent-or-higher subsidy that comes from Washington and attracts more consumers into the market.

But is that the best use of our tax dollars?

Polyakova and her colleagues used a dataset that contains detailed information about plan prices and characteristics for all Part D plans in all markets from 2007 to 2010. The data also includes information on individual enrollment in prescription drug plans and records of drug purchases that consumers make after enrolling in a plan

They created a model that focused on two things: 

  1. They first developed and estimated a model of supply and demand for drug plans. With the model, they could compute how much of government dollars benefit consumers and how much ends up being captured by insurers.
  2. With this supply-and-demand model, they could simulate whatever market structure they wanted, imagining what would happen if the government gave each Medicare Part D consumer a voucher of, for example, $700 to pay for their prescription medications.

What they found is that, at least for Part D, the current mechanisms do a surprisingly good job at keeping costs low.

“On the supply-side, we find, perhaps surprisingly, that the current structure of the program mutes insurers’ ability to strategically raise subsidies, and hence positively affects total program efficiency,” they wrote.

At the same time, they also find that taxpayer dollars could be spent even more efficiently. 

Currently, the subsidy is found through a formula that uses prices set by insurers. Their simulation suggests that setting a fixed voucher-like subsidy would encourage insurers to lower prices for their plans even more. If insurers knew the fixed subsidy level in advance, then they would have a strong incentive to price as close as possible to this subsidy. Any difference between the subsidy and the premium would have to be paid by consumers, so costlier insurers may lose customers. 

Under the current system, the ultimate subsidy is linked to insurer prices and is not known in advance of insurers submitting their price bids, which makes the incentives to reduce prices slightly less strong. Great caution is required when setting such voucher-like subsidies, however. If they are set too low, insurers may be forced to quit the market or provide poor quality products.

Even more return on the taxpayer’s dollar could be achieved by setting higher vouchers for more economically efficient (but not lower quality) plans and lower vouchers for plans that have higher operating costs. Improving the return on the dollar could allow the government to spend less and still allow the same number of consumers to purchase coverage. 

“Most of our government health-care dollars are increasingly spent through this indirect mechanism of giving money to private firms and simply hoping that things will somehow work out,” Polyakova said. “But the way we design these mechanisms are hugely important: You may be wasting billions of dollars if these are not set up properly — and there are not that many people working on this, as these rules are incredibly involved.”

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Postdoctoral Fellow in Health Services Research, HSR&D Ci2i, VA Palo Alto Health Care System
Postdoctoral Scholar, CHP/PCOR, Stanford University
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Sarah Javier is a current postdoctoral fellow in Health Services Research at CHP/PCOR and the Center for Innovation to Implementation (Ci2i) at the VA Palo Alto Health Care System. She received her BS in Psychology from Tulane University (2010) and her MS (2013) and PhD (2017) in Health Psychology from Virginia Commonwealth University.

During graduate school, Sarah spent a year on Capitol Hill as a graduate policy scholar at the American Psychological Association and joined advocacy efforts for two bipartisan mental health reform bills. She then received an R36 from the Agency for Health Care Research and Quality to assess the feasibility of a culturally-tailored eating disorder prevention intervention among ethnic minority women. Her interests in policy, cultural competency, and mental health reform continue into her fellowship. Specifically, she hopes to explore systemic factors that promote or inhibit mental health treatment-seeking among underserved populations and how culturally-competent practices can be implemented and sustained in the VA Health Care System.

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Due to the COVID-19 pandemic, we have indefinitely postponed the April 22 Symposium.

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Advisory on Novel Coronavirus (COVID-19)

In accordance with university guidelines, if you (or a spouse/housemate) have returned from travel to mainland China and/or South Korea in the last 14 days, we ask that you DO NOT come to campus until 14 days have passed since your return date and you remain symptom-free. For more information and updates, please refer to the Stanford Environmental Health & Safety website: https://ehs.stanford.edu/news/novel-coronavirus-covid-19

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More children die from the indirect impact of armed conflict in Africa than those killed in the crossfire and on the battlefields, according to a new study by Stanford researchers. 

The study is the first comprehensive analysis of the large and lingering effects of armed conflicts — civil wars, rebellions and interstate conflicts — on the health of noncombatants.

The numbers are sobering: 3.1 to 3.5 million infants born within 30 miles of armed conflict died from indirect consequences of battle zones between 1995 and 2005. That number jumps to 5 million deaths of children under 5 in those same conflict zones.

“The indirect effects on children are so much greater than the direct deaths from conflict,” said Stanford Health Policy's Eran Bendavid, senior author of the study published today in The Lancet.

The authors also found evidence of increased mortality risk from armed conflict as far as 60 miles away and for eight years after conflicts. Being born in the same year as a nearby armed conflict is riskiest for young infants, the authors found, with the lingering effects raising the risk of death for infants by over 30 percent.

On the entire continent, the authors wrote, the number of infant deaths related to conflict from 1995 to 2015 were more than three times the number of direct deaths from armed conflict. Further, they demonstrated a strong and stable increase of 7.7 percent in the risk of dying before age 1 among babies born within 30 miles of an armed conflict.

The authors recognize it is not surprising that African children are vulnerable to nearby armed conflict. But they show that this burden is substantially higher than previously indicated. 

“We wanted to understands the effects of war and conflict, and discovered that this was surprisingly poorly understood,” said Bendavid, an associate professor of medicine at Stanford Medicine.  “The most authoritative source, the Global Burden of Disease, only counts the direct deaths from conflict, and those estimates suggest that conflicts are a minuscule cause of death.”

Paul Wise, a professor of pediatrics at Stanford Medicine and a senior fellow at the Freeman Spogli Institute for International Studies, has long argued that lack of health care, vaccines, food, water and shelter kills more civilians than combatants from bombs and bullets. 

This study has now put data behind the theory when it comes to children.

“We hope to redefine what conflict means for civilian populations by showing how enduring and how far-reaching the destructive effects of conflict have on child health,” said Bendavid, an infectious disease physician whose co-authors include Marshall Burke, PhD, an assistant professor of earth systems science and fellow at the Center on Food Security and the Environment.

“Lack of access to key health services or to adequate nutrition are the standard explanations for stubbornly high infant mortality rates in parts of Africa,” said Burke. “But our data suggest that conflict can itself be a key driver of these outcomes, affecting health services and nutritional outcomes hundreds of kilometers away and for nearly a decade after the conflict event”. 

The results suggest efforts to reduce conflict could lead to large health benefits for children.

The Data

The authors matched data on 15,441 armed-conflict events with data on 1.99 million births and subsequent child survival across 35 African countries. Their primary conflict data came from the Uppsala Conflict Data Program Georeferenced Events Dataset, which includes detailed information about the time, location, type and intensity of conflict events from 1946 to 2016. 

The researchers also used all available data from the Demographic and Health Surveys conducted in 35 African countries from 1995 to 2015 as the primary data sources on child mortality in their analysis.

The data, they said, shows that the indirect toll of armed conflict among children is three-to-five times greater than the estimated number of direct casualties in conflict. The indirect toll is likely even higher when considering the effects on women and other vulnerable populations.

Zachary Wagner, a health economist at RAND Corporation and first author of the study, said he knows few are surprised that conflict is bad for child health.

“However, this work shows that the relationship between conflict and child mortality is stronger than previously thought and children in conflict zones remain at risk for many years after the conflict ends.” 

He notes that nearly 7 percent of child deaths in Africa are related to conflict and reiterated the grim fact that child deaths greatly outnumber direct combatant deaths.

“We hope our findings lead to enhanced efforts to reach children in conflict zones with humanitarian interventions,” Wagner said. “But we need more research that studies the reasons for why children in conflict zones have worse outcomes in order to effectively intervene.” 

Another author, Sam Heft-Neal, PhD, is a research fellow at the Center for Food Security and the Environment and in the Department of Earth Systems Science. He, Burke and Bendavid have been working together to identify the impacts of extreme climate events on infant mortality in Africa.

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KYANGWALI, UGANDA - APRIL 06: A baby girl from Uganda suffering with cholera lies in a ward in the Kasonga Cholera Treatment Unit in the Kyangwali Refugee Settlement on April 6, 2018 in Kyangwali, Uganda. According to the UNHCR almost 70,000 people have arrived in Uganda from the Democratic Republic of Congo since the beginning of 2018 as they escape violence in the Ituri province. (Photo by Jack Taylor/Getty Images)
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User-Generated Ratings in Healthcare-Evidence from Yelp

Yiwei Chen

Advisor: Kate Bundorf

Abstract: It is controversial whether user-generated physician ratings from online sources improve healthcare efficiency. Using the universe of Yelp physician ratings matched with Medicare claims, I examine what information on physician quality Yelp ratings reveal, whether they affect patients' physician choices, and how they change physician behaviors. Through text and correlational analysis, I show that although Yelp reviews primarily describe physicians’ interpersonal skills, Yelp ratings are also positively correlated with various measures of clinical quality. Instrumenting physicians’ average ratings with reviewers' “harshness” in rating other businesses, I discover that physicians’ average ratings increase their revenue and patient volume by 1-2% per star. Using a difference-in-differences strategy, I find that after their physicians are rated on Yelp, patients do not receive different amounts of opioid prescriptions or show different health outcomes, although they have slightly more lab and imaging tests which are possibly wasteful. Overall, Yelp ratings seem to help patients—they convey both physicians' interpersonal skills and clinical abilities, bring patients into higher-rated physicians, and do not induce physicians to hurt patients’ health via ordering harmful substances.

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Shira Mitchell and colleagues' endline evaluation of the Millennium Villages Project (MVP) in The Lancet Global Health marks an important chapter in our understanding of Africa’s meandering path towards health and economic development. Originally conceived to show the power of an integrated multisector approach to ending poverty and its associated ills, the project had its share of heated debates. The centrally planned approach that included provision of a streamlined basket of goods to each village was said to promote solutions derived from aloof economic models insensitive to local customs and constraints.

 

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Eran Bendavid
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Poor air quality is thought to be an important mortality risk factor globally, but there is little direct evidence from the developing world on how mortality risk varies with changing exposure to ambient particulate matter. Current global estimates apply exposure-response relationships that have been derived mostly from wealthy, mid-latitude countries to spatial population data, and these estimates remain unvalidated across large portions of the globe. In this Nature paper, we combine household survey-based information on the location and timing of nearly 1 million births across sub-Saharan Africa with satellite-based estimates of exposure to ambient respirable particulate matter with an aerodynamic diameter less than 2.5 μm (PM2.5) to estimate the impact of air quality on mortality rates among infants in Africa. We find that a 10 μg m−3 increase in PM2.5 concentration is associated with a 9% (95% confidence interval, 4–14%) rise in infant mortality across the dataset. This effect has not declined over the last 15 years and does not diminish with higher levels of household wealth. Our estimates suggest that PM2.5 concentrations above minimum exposure levels were responsible for 22% (95% confidence interval, 9–35%) of infant deaths in our 30 study countries and led to 449,000 (95% confidence interval, 194,000–709,000) additional deaths of infants in 2015, an estimate that is more than three times higher than existing estimates that attribute death of infants to poor air quality for these countries. Upward revision of disease-burden estimates in the studied countries in Africa alone would result in a doubling of current estimates of global deaths of infants that are associated with air pollution, and modest reductions in African PM2.5 exposures are predicted to have health benefits to infants that are larger than most known health interventions.

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Eran Bendavid
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