Results for HRP

Students undertake investigations sponsored by individual faculty members. Prerequisite: consent of instructor.

Seminar series is the core tutorial for first-year Health Policy PhD students and all MS Health Policy students. Major themes in fields of study including health insurance, healthcare financing and delivery, health systems and reform and disparities in the US and globally, health and economic development, health law and policy, resource allocation, efficiency and equity, healthcare quality, measurement and the efficacy and effectiveness of interventions. The first part of the series emphasizes critical reading of empirical research in health policy and reviews the statistical methods for causal inference. Requirements include in-class discussions of research articles in teams and written reaction papers.

Second in a three-quarter seminar series, the core tutorial is for first-year Health Policy PhD students and all MS Health Policy students. Major themes in fields of study including health insurance, healthcare financing and delivery, health systems and reform and disparities in the US and globally, health and economic development, health law and policy, resource allocation, efficiency and equity, healthcare quality, measurement and the efficacy and effectiveness of interventions. Blocks of session led by Stanford expert faculty in particular fields of study.

The third in a three-quarter seminar series, this course is intended for first-year Health Policy PhD students and all Health Policy MS students. The course is structured as a student-led seminar, with participation by the Instructor and other faculty, and it will focus primarily on global health. It will familiarize students with seminal papers in policy-relevant social science and biomedical journals and prepare students to design studies to answer health policy research questions. The final sessions will be reserved for student presentations of their own research (made by students enrolling for 2 units). Please note that depending on enrollment, an additional student presentation session may need to be scheduled.

This course provides an introduction to key principles of rigorous and reproducible population health and clinical research. The course consists of three modules. In the first, ethical, regulatory, and legal aspects of research integrity will be covered, such as authorship, collaboration, conflicts of interest, and data sharing agreements. The second module focuses on design and reporting considerations for rigor and reproducibility, such as threats to validity, proper interpretation of statistical measures, and reporting guidelines. The third module provides technical training in collaborative workflows and reproducible programming practices using Github and R. Content is designed for health policy, biomedical data science, and epidemiology graduate students supported by NIH training grants with reproducibility training requirements. Students in such programs should consult with their program director to ensure that this course will fulfill specific requirements of their program. Prerequisite: Basic knowledge of R.

(HUMBIO students must enroll in HUMBIO 154D. Med/Graduate students must enroll in HRP 204.) This course introduces students to the dynamics of infectious diseases of global health importance, focusing on the use of mathematical models to characterize their transmission in populations. Relevant case examples of pathogens with differing natural history and transmission routes include tuberculosis, HIV, malaria, typhoid, and cholera, as well emerging infectious diseases such as Ebola and the 2019 novel coronavirus. Lectures will emphasize the theoretical basis underlying infectious disease dynamics and link them to in-class workshops and problem sets that will emphasize public health applications and will provide students with hands-on experience in creating and coding models. Students will learn the mathematical underpinnings of key topics in infectious disease transmission including herd immunity, the basic reproductive number, vaccine effects, social contact structure, host heterogeneities, and pathogen fitness. The course will teach students how to approach new questions in infectious disease transmission, from model selection, tradeoffs in model complexity or parsimony, parameterization, sensitivity and uncertainty analyses. Students will practice building models, evaluating the influence of model parameters, making predictions about disease trajectories, and projecting the impact of public health interventions. Prerequisites: HUMBIO 88 or 89 or STATS 141 or BIOSCI 141. Recommended courses: MATH 51 or CME 100; BIO 141 or BIOHOPK 174H

Primarily for medical students in the Health Services and Policy Research scholarly concentration. Topics include health economics, statistics, decision analysis, study design, quality measurement, cost benefit and effectiveness analysis, and evidence based guidelines.

Primarily for medical students in the Health Services and Policy Research scholarly concentration. Focus will be on developing research ideas and writing proposals for HSPR research projects. In class presentations will occur at the end of the quarter.

(Same as LAW 3003) Open to law and medical students; other graduate students by consent of instructor. The FDA's regulatory authority over drugs, biologics, medical devices, and dietary supplements. The nature of the pharmaceutical, biotech, medical device, and nutritional supplement industries.

(Same as LAW 3006) Legal, social, and ethical issues arising from advances in neuroscience, including effects upon law and society through improvements in predicting illnesses and behaviors, reading minds through neuroimaging, understanding responsibility and consciousness, treating criminal behavior, and cognitive enhancement.

Climate Change is perhaps the defining health challenge of our generation. Yet, despite widespread awareness and prominence, clime change's health impacts are notoriously hard to estimate. This is partly because, after all, we only have one planet, and experimenting with climate change is not possible. There is a critical role for using state-of-the-art methods for causal inference using observational data in clarifying and quantifying the importance of climate change. This seminar accompanies the growing body of research on methodological approaches to estimating climate-health impacts, and surveys recent econometric and statistical methods for causal inference using observational data, including two-way fixed effects, difference-in-differences, and doubly robust estimations. The course is designed as a seminar series for graduate students with prior expertise and interest in inferential methods for climate-health research. Each week will focus on a different research methodology, with a discussant and synthesis of approaches for applied studies.

Preference given to postgraduate fellows and graduate students.Focus is on implementation science and evaluation of health care delivery innovations. Topics include implementation science theory, frameworks, and measurement principles; qualitative and quantitative approaches to designing and evaluating new health care models; hybrid design trials that simultaneously evaluate implementation and effectiveness; distinction between quality improvement and research, and implications for regulatory requirements and publication; and grant-writing strategies for implementation science and evaluation. Students will develop a mock (or actual) grant proposal to conduct a needs assessment or evaluate a Stanford/VA/community intervention, incorporating concepts, frameworks, and methods discussed in class. Priority for enrollment for CHPR 212 will be given to CHPR master's students.

(Same as LAW 3004) Open to all law or medical students; other graduate students by consent of the instructor. Focus is on ethical, legal, and social issues arising from advances in our knowledge of human genetics. Includes forensic uses of genetics, genetic testing, widespread whole genome sequencing, the consequences of genetics for human reproduction, and the ethics of genomic biobanks for research. Research paper required.

Social Entrepreneurship and Innovation Lab (SE Lab) - Global & Planetary Health is a Collaboratory workshop for students/fellows to design and develop innovative social ventures addressing key challenges in health and the environment, especially in support of the UN Sustainable Development Goals (SDGs 2030). Your mandate in identifying problems and designing solutions is broad and flexible! SE Lab is open to students and fellows across Stanford and combines design thinking exercises, short lectures & case studies, workshops, small group teamwork, presentations, guest speakers, and faculty, practitioner and peer feedback to support you and your team in generating and developing ideas and projects that will change the world! Join SE Lab with an idea or simply the desire to join a team. Enrollment limited to 30.

Application of economic paradigms and empirical methods to health improvement in lower-income countries. Emphasis is on unifying analytic frameworks and evaluation of empirical evidence. How economic views differ from public health, medicine, and epidemiology; analytic paradigms for health and population change; the demand for health; the role of health in international development. Prerequisites: ECON 50 and ECON 102B.

(Same as Law 3009) Examines how the law can be used to improve the public's health. Major themes explored include: what authority does the government have to regulate in the interest of public health? How are individual rights balanced against this authority? What are the benefits and pitfalls of using laws and litigation to achieve public health goals? Investigates these issues in several contexts, including the control and prevention of infectious disease, laws aimed at preventing obesity and associated noncommunicable diseases, tobacco regulation, ensuring access to medical care, reproductive health, lawsuits against tobacco, food and gun companies, and public health emergencies.

This seminar course is intended to introduce students to the role of policy in the provision of health care, public and population health in the United States. In addition to speakers from HRP and the School of Medicine, we will bring in speakers from outside organizations in the Bay Area with expertise in a variety of health policy issues. There are no pre-requisites. Lunch will be provided.Only HRP 243A will be offered this academic year.

This seminar course is intended to introduce students to the role of policy in the provision of health care in the United States. In addition to speakers from HRP and the School of Medicine, we will be bringing in speakers from outside organizations in the Bay Area with expertise in a variety of issues in health care. There are no pre-requisites and no assignments. HRP 243A and 243B are offered in alternating academic years. Lunch will be provided.

Course will cover various topics in health economics, from theoretical and empirical perspectives. Topics will include public financing and public policy in health care and health insurance; demand and supply of health insurance and healthcare; physicians' incentives; patient decision-making; competition policy in healthcare markets, intellectual property in the context of pharmaceutical drugs and medical technology; other aspects of interaction between public and private sectors in healthcare and health insurance markets. Key emphasis on recent work and empirical methods and modelling. Prerequisites: Micro and Econometrics first year sequences (or equivalent). Curricular prerequisites (if applicable): First year graduate Microeconomics and Econometrics sequences (or equivalent)

This course introduces and develops methods for conducting empirical research that address clinical and policy questions that are not suitable for randomized trials. Conceptual and applied models of causal inference guide the design of empirical research. Econometric and statistical models are used to conduct health outcomes research which use large existing medical, survey, and other databases Problem sets emphasize hands-on data analysis and application of methods, including re-analyses of well-known studies. This is a project-based course designed for students pursuing research training. Prerequisites: one or more courses in probability, and statistics or biostatistics.

The course will provide an in-depth examination of the quality & patient safety movement in the US healthcare system, the array of quality measurement techniques and issues, and perspectives of quality and safety improvement efforts under the current policy landscape.

Decoding Academia: Power, Hierarchies, and Transforming Institutions is a new course focused on helping students understand the "hidden curriculum" (i.e., unwritten rules that influence success) in academia as well as pathways toward change. Topics include faculty governance, funding models, publishing, incentive structures, and diversity, equity, and inclusion. Content centers largely on the social, health, and computational sciences but enrollment is not restricted. Format features lectures, discussions, practical assignments, and student presentations. See course website: decodingacademia.org

Institutional, theoretical, and empirical analysis of the problems of health and medical care. Topics: demand for medical care and medical insurance; institutions in the health sector; economics of information applied to the market for health insurance and for health care; economics of health care labor markets and health care production; and economic epidemiology. Graduate students with research interests should take ECON 249. Prerequisites: ECON 50 and either ECON 102A or STATS 116 or the equivalent. Recommended: ECON 51.

Advanced methods currently used in published model-based cost-effectiveness analyses in medicine and public health, both theory and technical applications. Topics include: Markov and microsimulation models, model calibration and evaluation, and probabilistic sensitivity analyses. Prerequisites: a course in probability, a course in statistics or biostatistics, a course on cost-effectiveness such as HRP 392, a course in economics, and familiarity with decision modeling software such as TreeAge.

(SAME AS LAW 3012) This course will provide an introduction to the legal, ethical, and policy areas important to understanding Law and the Biosciences. Each topic will include both discussion of the relevant legal rules and ethical principles and their application to a specific case study. Topics to be covered include the structure and regulation of the biopharma industry and biosciences research, intellectual property relevant to the biosciences, federal regulation of bioscience products through the FDA and otherwise, the health care financing system, human subjects research, genetic technologies, reproductive technologies, neuroscience technologies, criminal law applications of bioscience technologies, and more. The course will prepare students for more advanced courses in these areas, as well as for working with or in the bioscience world. Special Instructions: The class is open to all law students and graduate or professional students from other parts of the University. Some undergraduates may be admitted with consent of the instructor Substantial class attendance is required; in addition, the quality of class participation will play a small role in grading. Elements used in grading: Attendance, class participation, and final exam (In-school, open book). Cross listed with Health Research and Policy (HRP - TBA).

Are you interested in innovative ideas and strategies for addressing urgent challenges in human and planetary health and creating sustainable societies? This 7 session lecture series features a selection of noteworthy leaders, innovators, and experts across diverse sectors/topics in health and the environment such as: health innovation and environmental sustainability, social and environmental justice and equality, social innovation and entrepreneurship ecosystems, foundations and venture capital, tech innovation, media and AI, biotech and ag-tech, pandemics, public health and community wellbeing, food systems and agricultural innovation, hunger and nutrition, clean water and air, nonprofits and community action, public policy innovation and systems change, and the role of academia and you. Co-convened and co-designed by faculty, fellows and students collaborating across several Stanford centers, departments, schools, the course invites the discussion of global problems, interdisciplinary perspectives, and systemic solutions for the climate crisis and human health. The course will address root causes of the climate crisis and urgent challenges of human and planetary health, including sociological constraints, political objectives, economic incentives, technological limitations, and preservation of global stability, and suggest models of leadership, innovation and sustainable social change. We will also delve into efforts to catalyze long-term sustainability across the private, nonprofit, and public sectors. Students from all backgrounds are encouraged to enroll - registration is open to all Stanford students and fellows. May be repeated for credit.

Curricular Practical Training in HRP.

Primarily for master's students; also open to undergraduates and doctoral students. The application of mathematical, statistical, economic, and systems models to problems in health policy. Areas include: disease screening, prevention, and treatment; assessment of new technologies; bioterrorism response; and drug control policies.

Epidemiology, health services research, preventive medicine, medical genetics, public health, economics of medical care, occupational or environmental medicine, international health, or related fields. May be repeated for credit. Students are expected to connect with instructor and should discuss plans and the instructor's expectations for the course units for the quarter BEFORE enrolling in that faculty¿s section. Prerequisite: consent of instructor. Instructor approval required to enroll.

Provides an opportunity for student and faculty interaction, as well as academic credit and financial support, to medical students who undertake original research. Enrollment is limited to students with approved projects.

Restricted to PhD students, or by consent of instructor. Doctoral research seminar covering current topics in health policy, health systems modeling, and health innovation. May be repeated for credit.

(SAME AS LAW 3001, MGTECON 331) This course provides the legal, institutional, and economic background necessary to understand the financing and production of health services in the U.S. We will discuss the Affordable Care Act , health insurance (Medicare and Medicaid, employer-sponsored insurance, the uninsured), the approval process and IP protection for pharmaceuticals, and antitrust policy. We may discuss obesity and wellness, regulation of fraud and abuse, and medical malpractice. The syllabus for this course can be found at https://syllabus.stanford.edu. Elements used in grading: Participation, attendance, class presentation, and final exam.

For graduate students. How to do cost/benefit analysis when the output is difficult or impossible to measure. Literature on the principles of cost/benefit analysis applied to health care. Critical review of actual studies. Emphasis is on the art of practical application.

Investigations sponsored by individual faculty members. Students are expected to connect with instructor and should discuss plans and the instructor's expectations for the course units for the quarter BEFORE enrolling in that faculty¿s section. Prerequisite: consent of instructor. Instructor approval required to enroll.

The goal of the second year tutorial is to provide PHD students with advanced training in health policy research and to assist them in successfully developing research proposals.

Students are expected to connect with instructor and should discuss plans and the instructor's expectations for the course units for the quarter BEFORE enrolling in that faculty¿s section. Instructor approval required to enroll.

Students are expected to connect with instructor and should discuss plans and the instructor's expectations for the course units for the quarter BEFORE enrolling in that faculty's section. Instructor approval required to enroll.