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

 

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Professor, Health Policy
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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 

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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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Amanda Starc, Ph.D.

Associate Professor of Strategy at the Kellogg School of Management
Faculty Research Fellow at the National Bureau of Economic Research (NBER)

Professor Amanda Starc received her BA in Economics from Case Western Reserve University, and her PhD in Business Economics from Harvard University. Dr. Starc's research interests include industrial organization and health economics. Her research examines the Medicare Advantage, Medicare Part D, and Medicare Supplement ("Medigap") markets, as well as consumer behavior in insurance exchanges. Recent work measures the effectiveness of direct-to-consumer advertising of pharmaceuticals. Her work links models of consumer choice and supply side incentives, and uses a range of econometric techniques to analyze data.

This will be an in-person event: Encina Commons, Conference Rom 119, with a boxed lunch served.

Amanda Starc Associate Professor Northwestern University, Kellogg School of Management
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Master's Health Policy Alumni
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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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Master's Graduate 2023, Health Policy
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John received his MS in Health Policy in 2023. He is a current clinical fellow of neonatal-perinatal medicine at Lucile Packard Children’s Hospital Stanford. His research interests focus on how public policy shapes neonatal health outcomes, with an emphasis on decreasing health disparities. His current work explores utilization of paid family leave by families in the NICU and the effects of family primary language on neonatal health outcomes. His research and tuition are funded by grants from the Stanford Maternal & Child Health Research Institute. He previously received his medical degree from The Ohio State University and completed a residency in pediatrics at Northwestern University.

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Faculty Lead, Center for Human and Planetary Health
Professor of Medicine (Infectious Diseases)
Professor of Epidemiology & Population Health (by courtesy)
Senior Fellow at the Freeman Spogli Institute for International Studies
Senior Fellow at the Woods Institute for the Environment
Faculty Affiliate at the Stanford Center on China's Economy and Institutions
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MD

Prof. Stephen Luby studied philosophy and earned a Bachelor of Arts summa cum laude from Creighton University. He then earned his medical degree from the University of Texas Southwestern Medical School at Dallas and completed his residency in internal medicine at the University of Rochester-Strong Memorial Hospital. He studied epidemiology and preventive medicine at the Centers for Disease Control and Prevention.

Prof. Luby's former positions include leading the Epidemiology Unit of the Community Health Sciences Department at the Aga Khan University in Karachi, Pakistan, for five years and working as a Medical Epidemiologist in the Foodborne and Diarrheal Diseases Branch of the U.S. Centers for Disease Control and Prevention (CDC) exploring causes and prevention of diarrheal disease in settings where diarrhea is a leading cause of childhood death.  Immediately prior to joining the Stanford faculty, Prof. Luby served for eight years at the International Centre for Diarrhoeal Diseases Research, Bangladesh (icddr,b), where he directed the Centre for Communicable Diseases. He was also the Country Director for CDC in Bangladesh.

During his over 25 years of public health work in low-income countries, Prof. Luby frequently encountered political and governance difficulties undermining efforts to improve public health. His work within the Center on Democracy, Development, and the Rule of Law (CDDRL) connects him with a community of scholars who provide ideas and approaches to understand and address these critical barriers.

 

Director of Research, Stanford Center for Innovation in Global Health
Affiliated faculty at the Center on Democracy, Development and the Rule of Law
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(650) 498-7528
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Associate Professor, Health Policy
MS in Health Policy Program Director
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PhD

Maria Polyakova, PhD, is an Associate Professor of Health Policy at the Stanford University School of Medicine. Her research investigates the equity and efficiency of government interventions in healthcare markets. She is especially interested in questions surrounding the design, financing, and broad economic impacts of public health insurance systems. Her work also investigates the drivers of individual decision-making in health care and the roots of socio-economic differences in health outcomes. Dr. Polyakova received a BA degree in Economics and Mathematics from Yale University, and a PhD in Economics from MIT.

Encina Commons, Room 220
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(650) 721-2486 (650) 723-1919
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Professor, Health Policy
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Jeremy Goldhaber-Fiebert, PhD, is a Professor of Health Policy, a Core Faculty Member at the Center for Health Policy and the Department of Health Policy, and a Faculty Affiliate of the Stanford Center on Longevity and Stanford Center for International Development. His research focuses on complex policy decisions surrounding the prevention and management of increasingly common, chronic diseases and the life course impact of exposure to their risk factors. In the context of both developing and developed countries including the US, India, China, and South Africa, he has examined chronic conditions including type 2 diabetes and cardiovascular diseases, human papillomavirus and cervical cancer, tuberculosis, and hepatitis C and on risk factors including smoking, physical activity, obesity, malnutrition, and other diseases themselves. He combines simulation modeling methods and cost-effectiveness analyses with econometric approaches and behavioral economic studies to address these issues. Dr. Goldhaber-Fiebert graduated magna cum laude from Harvard College in 1997, with an A.B. in the History and Literature of America. After working as a software engineer and consultant, he conducted a year-long public health research program in Costa Rica with his wife in 2001. Winner of the Lee B. Lusted Prize for Outstanding Student Research from the Society for Medical Decision Making in 2006 and in 2008, he completed his PhD in Health Policy concentrating in Decision Science at Harvard University in 2008. He was elected as a Trustee of the Society for Medical Decision Making in 2011.

Past and current research topics:

  1. Type 2 diabetes and cardiovascular risk factors: Randomized and observational studies in Costa Rica examining the impact of community-based lifestyle interventions and the relationship of gender, risk factors, and care utilization.
  2. Cervical cancer: Model-based cost-effectiveness analyses and costing methods studies that examine policy issues relating to cervical cancer screening and human papillomavirus vaccination in countries including the United States, Brazil, India, Kenya, Peru, South Africa, Tanzania, and Thailand.
  3. Measles, haemophilus influenzae type b, and other childhood infectious diseases: Longitudinal regression analyses of country-level data from middle and upper income countries that examine the link between vaccination, sustained reductions in mortality, and evidence of herd immunity.
  4. Patient adherence: Studies in both developing and developed countries of the costs and effectiveness of measures to increase successful adherence. Adherence to cervical cancer screening as well as to disease management programs targeting depression and obesity is examined from both a decision-analytic and a behavioral economics perspective.
  5. Simulation modeling methods: Research examining model calibration and validation, the appropriate representation of uncertainty in projected outcomes, the use of models to examine plausible counterfactuals at the biological and epidemiological level, and the reflection of population and spatial heterogeneity.
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Encina Commons Room 180,
615 Crothers Way,
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(650) 736-0403 (650) 723-1919
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LCY: Tan Lan Lee Professor
Professor, Health Policy
Professor Pediatrics (General Pediatrics)
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MD, PhD

C. Jason Wang, M.D., Ph.D. is a Professor of Pediatrics and Health Policy and director of the Center for Policy, Outcomes, and Prevention at Stanford University.  He received his B.S. from MIT, M.D. from Harvard, and Ph.D. in policy analysis from RAND.  After completing his pediatric residency training at UCSF, he worked in Greater China with McKinsey and Company, during which time he performed multiple studies in the Asian healthcare market. In 2000, he was recruited to serve as the project manager for the Taskforce on Reforming Taiwan's National Health Insurance System. His fellowship training in health services research included the Robert Wood Johnson Clinical Scholars Program and the National Research Service Award Fellowship at UCLA. Prior to coming to Stanford in 2011, he was an Assistant Professor of Pediatrics and Public Health (2006-2010) and Associate Professor (2010-2011) at Boston University and Boston Medical Center. 

Among his accomplishments, he was selected as the student speaker for Harvard Medical School Commencement (1996).  He received the Overseas Chinese Outstanding Achievement Medal (1996), the Robert Wood Johnson Physician Faculty Scholars Career Development Award (2007), the CIMIT Young Clinician Research Award for Transformative Innovation in Healthcare Research (2010), and the NIH Director’s New Innovator Award (2011). He was recently named a “Viewpoints” editor and a regular contributor for the Journal of the American Medical Association (JAMA).  He served as an external reviewer for the 2011 IOM Report “Child and Adolescent Health and Health Care Quality: Measuring What Matters” and as a reviewer for AHRQ study sections.

Dr. Wang has written two bestselling Chinese books published in Taiwan and co-authored an English book “Analysis of Healthcare Interventions that Change Patient Trajectories”.  His essay, "Time is Ripe for Increased U.S.-China Cooperation in Health," was selected as the first-place American essay in the 2003 A. Doak Barnett Memorial Essay Contest sponsored by the National Committee on United States-China Relations.

Currently he is the principal investigator on a number of quality improvement and quality assessment projects funded by the Robert Wood Johnson Foundation, the National Institutes of Health (USA), Health Resources and Services Administration (HRSA), and the Andrew T. Huang Medical Education Promotion Fund (Taiwan).

Dr. Wang’s research interests include: 1) developing tools for assessing and improving the quality of healthcare; 2) facilitating the use of innovative consumer technology in improving quality of care and health outcomes; 3) studying competency-based medical education curriculum, and 4) improving health systems performance.

Director, Center for Policy, Outcomes & Prevention (CPOP)
Co-Director, PCHA-UHA Research & Learning Collaborative
Co-Chair, Mobile Health & Other Technologies, Stanford Center for Population Health Sciences
Co-Director, Academic General Pediatrics Fellowship
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PhD Student, Health Policy
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MD, MPH

Jlateh Vincent Jappah is a PhD student in Health Policy (Health Economics) at Stanford School of Medicine and Stanford Freeman Spogli Institute for International Studies. His research interests intersect between methods that enhance access to the social determinants of health and the provision of appropriate and timely healthcare services, with the aim of reducing avoidable morbidity and mortality and improving overall health and well-being, especially for underserved and vulnerable populations. 

Jappah contends that although health insurance and access to healthcare services are important elements in the health production function, other structural and socio-economic factors collude to either foster or erode health. As such, he has a keen interest in public policy, economics, medicine, global public health, maternal and child health, and a curiosity to understand those socio-political and institutional forces that shape health and well-being. He is also interested in machine learning and artificial intelligence in healthcare.

In addition to the United States, Jappah has lived and worked in several countries in Africa, Asia, and Europe. He is bilingual (English and Russian).

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