Global Health
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Sheila Tlou

The Rosenkranz Global Health Policy Research Symposium at Stanford University will be held on Tuesday, May 16, 2023. The Symposium is a day-long event that showcases innovative global health policy research by academics from around the world. After the symposium, our keynote speaker will be Sheila Tlou, chancellor of Botswana Open University and the former minister of health for Botswana at the height of the HIV/AIDS epidemic. She currently is co-chair of the Global HIV Prevention Coalition and co-chair of the Nursing Now Global Campaign. Tlou, who has a PhD in community nursing from the University of Illinois at Chicago, helped launch the WHO’s State of the World Nursing Report in Geneva.

Her keynote address will focus on her personal experiences in translating and applying evidence-based decision-making to global health policy in the areas of gender, health, and HIV/AIDS. Following her talk, she will be in conversation with Michele Barry, director of the Stanford Center for Innovation in Global Health.

Agenda 

 

Research Presentations (8:30 a.m. to 2:30 p.m., Reuben W. Hills Conference Room)

8:30 AM -9:10 AM: Jessica Cohen / Prompt(ed) Care: Experimental Evidence on a Maternal Digital Health Tool in Kenya

9:10 AM - 9:50 AM: Damian Clarke / Does Increasing Public Spending in Health Improve Health? Lessons from Constitutional Reform in Brazil

10:00 AM -10:40 AM: Eyal Frank The Social Costs of Keystone Species Collapse: Evidence From The Decline of Vultures in India

10:40 AM - 11:20 AM: Marie Christelle Mabeu / Colonial Origins of Fertility Behaviors: Evidence on the Role of Forced Labor Migration in Burkina Faso

11:30 AM - 12:10 PM: Timothy Powell-Jackson / Management practices and quality of care: evidence from the private health care sector in Tanzania

12:10 PM-1:00 PM: Lunch

1:00 PM - 1:40 PM: Maria Rosales-Rueda / Social interventions, health and wellbeing: The long-term and intergenerational effects of a school construction program

1:40 PM - 2:20 PM:Antonella Bancalari Public Service Delivery and Free Riding: Experimental Evidence from India

Keynote Address and Reception (3-5 p.m., Paul Brest Hall - East)

3:00 PM-4:15 PM: Keynote by Sheila Tlou followed by conversation with Michele Barry

4:15 PM-5:00 PM: Reception

 

REGISTRATION

 

 

Encina Hall (8:30 a.m. to 2:30 p.m.)
Reuben W. Hills Conference Room (2nd Floor, East Wing)
616 Jane Stanford Way, Stanford, CA 94305

Paul Brest Hall (3 p.m. to 5 p.m.)
555 Salvatierra Walk
Stanford, CA 94305

Symposiums
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Stanford Department of Health Policy Health Equity Symposium Header

 

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Stanford Medicine's new Department of Health Policy held its inaugural departmental symposium on October 6, convening thought leaders and experts in medicine, law, economics and data science. Speakers discussed innovative policy work and scalable solutions for improving health equity. Panelists addressed how to reduce persistent health disparities from three angles: social determinants of health, technology and innovation, and access and affordability.

Discover the powerful role health policy can serve in ensuring the health of all people, not just a privileged few.

 

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Keynote Speaker: Kirsten Bibbins-Domingo, PhD, MD

Talk Title: Building Equity in the Research Enterprise

Editor in Chief, Journal of the American Medical Association (JAMA) and JAMA Network Professor of Epidemiology & Biostatistics and Medicine, University of California, San Francisco

 

 

 

 

 

Opening Remarks by Stanford Medicine Dean Lloyd Minor

Terrance Mayes, Associate Dean for Equity and Strategic Initiatives

 

 

Panel 1 — Social Policy: Strategies for Addressing Structural Determinants of Health

 

 

Moderator

Alyce Adams, Stanford Health Policy

Alyce Adams, Stanford Medicine Innovation Professor, Professor of Epidemiology and Population Health, Professor of Health Policy

 

 

 

Panelists

Jeremy Goldhaber-Fiebert

Jeremy Goldhaber-Fiebert, Professor of Health Policy

 

 

 

Gilbert Gonzales, Vanderbilt

Gilbert Gonzales, Assistant Professor at the Center for Medicine, Health & Society at Vanderbilt University

 

 

 

Adrienne Sabety, Stanford Health Policy

Adrienne Sabety, Assistant Professor of Health Policy

 

 

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Panel 2 — Technology: Optimizing Innovation for Health Impact and Equity

 

 

Joshua Salomon of Stanford Health Policy

Moderator: Josh Salomon, Professor of Health Policy, Director of the Prevention Policy Modeling Lab

 

 

 

 

Panelists

Joshua Makower, Stanford

Joshua Makower, Boston Scientific Applied Biomedical Engineering Professor, Director of the Stanford Byers Center for Biodesign

 

 

Grant Miller Stanford Health Policy

Grant Miller, Henry J. Kaiser, Jr. Professor, Professor of Health Policy

 

 

 

Sherri Rose Stanford Health Policy

Sherri Rose, Associate Professor of Health Policy, Co-Director of the Health Policy Data Science Lab

 

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Panel 3 — Access & Affordability: How to Finance and Deliver Health Care Innovations Equitably

 

 

Michelle Mello

Moderator: Michelle Mello, Professor of Health Policy, Professor of Law

 

 

 

Panelists

Nicole Cooper, UnitedHealth

Nicole Dickelson Cooper, Senior Vice President at UnitedHealth Group 

 

 

 

Stacie B. Dusetzina, Vanderbilt

Stacie Dusetzina, Associate Professor of Health Policy at Vanderbilt University Medical Center

 

 

 

Maria Polyakova Stanford University

Maria Polyakova, Assistant Professor of Health Policy

 

 

 

 

Vindell Washington Verily Life Sciences

Vindell Washington, Chief Clinical Officer of Verily Health Platforms and CEO of Onduo

 

 

 

 

 

#StanfordHealthEquity

WATCH ENTIRE EVENT HERE

Learn More about Stanford Health Policy

Our People, Our Reserch and Our Mission to Improve Health

 

Accreditation

In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. 

Credit Designation 
American Medical Association (AMA) 
Stanford Medicine designates this live activity for a maximum of 4.0 AMA PRA Category 1 CreditsTM.  Physicians should claim only the credit commensurate with the extent of their participation in the activity. 

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McCaw Hall, Arrillaga Alumni Center

Symposiums
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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
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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 

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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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 Student Alumni, Health Policy
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Masahiro works for the Ministry of Health, Labor, Welfare, Japan. He has been in charge of national long-term care insurance especially its finance and health program for the elderly. Previously, after graduating from Tokyo University with a BA in Economics, he was in charge of the national health insurance system and its payment for medical services.

 

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Stacie B. Dusetzina, Ph.D

Associate Professor, Health Policy
Ingram Associate Professor of Cancer Research, Vanderbilt University Medical Center

Dr. Dusetzina is an associate professor in the Department of Health Policy and an Ingram associate professor of cancer research at Vanderbilt. She is a health services researcher whose work focuses on measuring and evaluating population-level use and costs of medications in the United States. Dr. Dusetzina’s work has contributed to the evidence base for the role of drug costs on patient access to care and policy changes that might improve patient access to high-priced drugs.

She has been recognized for her work at a national level, including being an invited participant for two working group meetings on “Patient Access to Affordable Cancer Drugs,” hosted by the President’s Cancer Panel, and being selected to co-author a National Academies of Sciences, Engineering and Medicine report on the same topic. Dr. Dusetzina’s research has also been broadly covered by The New York Times, NPR, Reuters, The Washington Post, STAT News, ABC News and The Wall Street Journal

In addition to her work on drug pricing, Dr. Dusetzina is a population health scientist and pharmacoepidemologist specializing in large data informatics. She has authored or co-authored more than 163 peer reviewed applied studies using Medicaid, Medicare, and commercial insurance claims data, and contributed several methods papers to the field. 

Seminar Title: Improving Access to Prescription Drugs through Policy Change

Register in advance for this meeting:

https://stanford.zoom.us/meeting/register/tJcqcOGprzwjE9Zk2c4-HkitCU8mm93vJhFD 

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

Stacie B. Dusetzina Associate Professor, Health Policy Vanderbilt University
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