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Join us for the fall Health Policy Forum

 

Uphill Battle Health Care Costs

 

Featuring Assemblymember Jim Wood

and

Professor Liran Einav of Stanford University.

 

U.S. Health care spending will approach $5 trillion dollars this year, and regardless of the outcome of the election, managing this staggering cost will be a priority for policymakers and the public. Meanwhile, private equity is increasingly a player in health care finance, which could bring risks as well as opportunities. This policy forum brings together two leaders who have shaped health care financing debates in elected office and in academic research, respectively. Please join us for a lively, high stakes discussion, featuring Assemblymember Jim Wood and Professor Liran Einav of Stanford University.

Space is limited. Lunch will be served to guests on the way out of the event.

 
 
(The Clark Center Auditorium is located downstairs below the Clark Center Courtyard, accessible by the courtyard staircase or by the elevators in the East wing lobby.)
 

Clark Center Auditorium
318 Discovery Walk
Stanford School of Medicine

 

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Protecting the lives of children in Gaza and other conflicts requires changes to the rules of engagement and global responses to all conflicts affecting civilian populations, argue Zulfiqar Bhutta, Georgia Dominguez, and Paul Wise.

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Zulfiqar A. Bhutta
Georgia B. Dominguez
Paul H. Wise
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386:e081515
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Beth Duff-Brown
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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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Fake or Fact news on coronavirus
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Does Free Speech Protect COVID-19 Vaccine Misinformation?

While some might say making or spreading known false statements related to the COVID-19 vaccine should be criminalized, the First Amendment, which guarantees free speech, continues to provide protection for people who promulgate such faulty information. So, how can the spread of misinformation be stopped without quashing free speech?
Does Free Speech Protect COVID-19 Vaccine Misinformation?
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Commentary

U.S. Public Health Law — Foundations and Emerging Shifts

The COVID-19 pandemic has focused attention on the complex and sometimes conflicting relationship between individual rights and public health protection.
U.S. Public Health Law — Foundations and Emerging Shifts
Supreme Court
Q&As

A Look at the Supreme Court Ruling on Vaccination Mandates

Two Stanford law, labor and health experts explain the legal and health implications of the Supreme Court ruling that struck down the Biden administration's COVID-19 vaccine mandate for large companies, while upholding another federal regulation calling on health-care workers in federally funded facilities to be vaccinated.
A Look at the Supreme Court Ruling on Vaccination Mandates
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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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David Molitor
David Molitor is an Associate Professor of Finance and Economics at Gies College of Business, University of Illinois at Urbana-Champaign, and a Research Associate at the National Bureau of Economic Research (NBER). His research explores how location and the environment shape health and health care delivery in the United States. He is a Principal Investigator of the Illinois Workplace Wellness Study, a large-scale field experiment of workplace wellness conducted at the University of Illinois. His work has been supported by the National Institutes of Health, the National Science Foundation, the Social Security Administration, JPAL North America, and the Robert Wood Johnson Foundation. Molitor's research has been published in leading academic journals including The American Economic Review, The Quarterly Journal of Economics, and The Review of Economics and Statistics and has been covered by media outlets including The New York Times, The Wall Street Journal, and The Washington Post.

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Jason Wang and his team working on a project to prevent preterm births received a $150,000 grant from the Richard King Mellon Foundation to complete their randomized control trial testing a digital app that tries to prevent recurrent preterm births.

PretermConnect uses a digital strategy for prevention and follow-up of preterm births in Allegheny County, PA, to optimize the health and well-being of mothers and children. Instead of the standard care, Stanford Health Policy is collaborating with the University of Pittsburg Medical Center (UPMC) in the randomized control trial with women who have delivered a preterm baby. The women are invited to participate and then randomly put into the group that uses the digital or a control group who received paper-based discharge packets with supplemental health education on postpartum care.

“This grant allows us to continue recruiting participants through UPMC and expanding PretermConnect’s features to enhance user engagement, including a function to search for resources by geography and topic,” said Wang, MD, a professor of pediatrics and health policy. “We also intend to scale the project with additional content on high-risk infant follow-up and preterm-specific developmental care guidelines, additional engagement features — and eventually support for different languages, starting with Spanish.”

In the long term, we hope to see an overall decrease in infant morbidity and mortality, by way of reducing preterm births.
Jason Wang
Professor of Pediatrics and Health Policy

The women in the digital app group receive in-app health education and resources to improve well-being for mothers and their infants. The app includes a social interaction feature designed to foster social connections and promote self-care. They have enrolled 30 women during the pilot phase and 15 mother-infant dyads in the randomized control trial, with a goal of reaching 250.

“The digital approach also allows us to administer brief surveys and gather information on dynamic social determinants of health more frequently than can be done through traditional means,” said Shilpa Jani, an SHP project manager. She said social determinants of health — such as persistent housing instability, food insecurity and concerns of personal safety — contribute to chronic stress and health issues as well as an increased risk of pregnancy and birth complications.

“Adverse effects of social determinants of health along with health complications of preterm deliveries may exacerbate morbidities for the mother and child,” Jani said, adding that preterm-related causes of death accounted for two-thirds of infant deaths in 2019 in the United States.

Wang and Jani said the immediate project goals include increasing health education for preterm baby care, improving postpartum maternal health, and encouraging usage of local resources in Allegheny County. They eventually hope to see reductions in risk for subsequent preterm delivery and infant mortality and postpartum depression, as well as increases in mother-infant bonding and larger proportions of breastmilk feeding.

Jason Wang Stanford Health Policy

Jason Wang

Professor of Pediatrics and Health Policy
Develops tools for assessing and improving the quality of health care
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Shilpa Jani

Shilpa Jani

Research Data Analyst
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A father with his son and daughter (paid family leave)
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New Study Shows Support for Paid Family Leave Grew During Pandemic

In a blow to arguments that a federal paid leave law would harm small businesses, a new study co-authored by SHP's Maya Rossin-Slater finds that support for paid leave among small employers is not only strong, but also increased as the pandemic added new strain to the work-life juggle.
New Study Shows Support for Paid Family Leave Grew During Pandemic
Pupils raise their hands in class.
News

Babies Born Too Early Likely to Face Educational and Lifelong Behavioral Setbacks

SHP's Lee Sanders and his Stanford colleagues found that after adjusting for socioeconomic status and compared with full-term births, moderate and late preterm births are associated with increased risk of low performance in mathematics and English language arts, as well as chronic absenteeism and suspension from school.
Babies Born Too Early Likely to Face Educational and Lifelong Behavioral Setbacks
COVID Contact Tracing
News

Contact-tracing App Curbed Spread of COVID in England and Wales

SHP's Jason Wang writes in this Nature article that digital contact tracing has the potential to limit the spread of COVID-19.
Contact-tracing App Curbed Spread of COVID in England and Wales
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SHP researchers awarded grant to continue their clinical trial testing out a digital app they hope will prevent preterm births.

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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

 

Register in advance for this meeting: https://stanford.zoom.us/meeting/register/tJIpdOispzojH9bzpXrF3_VpYcbPN9Hcgbbw After registering, you will receive a confirmation email containing information about joining the meeting.

Encina Commons,
615 Crothers Way
Stanford, CA 94305-6006

 

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Professor, Health Policy
sherri_rose-portrait.jpg
PhD

Sherri Rose, PhD, is a Professor of Health Policy and Director of the Health Policy Data Science Lab at Stanford University. 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 co-authored 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 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 was recognized with both the ASHEcon Willard G. Manning Memorial Award for Best Research in Health Econometrics and the American Statistical Association Outstanding Statistical Application Award. 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 PhD in Biostatistics from the University of California, Berkeley and a BS 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 

Register in advance for this meeting:


https://stanford.zoom.us/meeting/register/tJEsdOGppjMtGtPVKFHk0vX_TMCK5PzMa_Mv

After registering, you will receive a confirmation email containing information about joining the meeting.

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.

Stay Tuned for Details

Timothy J. Layton Associate Professor Department of Health Care Policy, Harvard Medical School
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Master's Health Policy Alumni
jiayi_zhao_photo.jpeg

Jiayi Zhao graduated with a MS student in Health Policy (Empirical Methods) in 2023. She has research interests in causal inference, machine learning, health economics, and policy evaluation, especially health issues in aging societies. Her prior research experience includes work in disability, long term care, and aging. She holds a BS in statistics and finance from the University of Hong Kong and MS in social policy and data analytics from the University of Pennsylvania.

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