Congratulations Dr. Chan.
Welcome to the club, Alex.
I'll post market design related news and items about repugnant markets. See also my Stanford profile. I have a general-interest book on market design: Who Gets What--and Why The subtitle is "The new economics of matchmaking and market design."
Here's an exciting account, just published in JAMA Surgery, of a three way liver exchange in Pakistan, achieved in part by collaboration with economist and market designer Alex Chan (who is on the job market this year).
Launching Liver Exchange and the First 3-Way Liver Paired Donation by Saad Salman, MD, MPH1; Muhammad Arsalan, MBBS2; Faisal Saud Dar, MBBS2, JAMA Surg. Published online December 7, 2022. doi:10.1001/jamasurg.2022.5440 (pdf)
Here are the first paragraphs:
"There is a shortage of transplantable organs almost everywhere in the world. In the US, about 6000 transplant candidates die waiting each year.1 In Pakistan, 30% to 50% of patients who needed a liver transplant are unable to secure a compatible donor, and about 10 000 people die each year waiting for a liver.2 Kidney paired donations, supported by Nobel Prize–winning kidney exchange (KE) algorithms,3 have enabled living donor kidneys to become an important source of kidneys. Exchanges supported by algorithms that systematically identify the optimal set of paired donations has yet to take hold for liver transplant.
"The innovation reported here is the successful implementation of a liver exchange mechanism4 that also led to 3 liver allotransplants and 3 hepatectomies between 3 incompatible patient-donor pairs with living donor–patient ABO/size incompatibilities. These were facilitated by one of the world’s first documented 3-way liver paired donations (LPD) between patient-donor pairs.
"Since 2018 and 2019, we have explored LPD as a strategy to overcome barriers for liver failure patients in Pakistan in collaboration with economist Alex Chan, MPH.2 With LPD, the incompatibility issues with relative donors can be solved by exchanging donors. The Pakistan Kidney and Liver Institute (PKLI) adopted a liver exchange algorithm developed by Chan4 to evaluate LPD opportunities that prioritizes clinical urgency (Model for End-stage Liver Disease [MELD] scores) while maximizing transplant-enabling 2-way or 3-way swaps that ensures that hepatectomies for every donor within each swap has comparable ex ante risk (to ensure fairness). As of March 2022, 20 PKLI liver transplant candidates had actively coregistered living and related but incompatible liver donors. Evaluating these 20 incompatible patient-donor pairs with the algorithm,4 we found 7 potential transplants by two 2-way swaps and the 3-way swap reported. In contrast to ad hoc manual identification of organ exchange opportunities, the hallmark of a scalable organ exchange program is the regular deployment of algorithms to systematically identify possible exchanges. Regular deployment of LPD algorithms is novel.
"A total of 6 procedures took place on March 17, 2022. Patient 1, a 57-year-old man, received a right liver lobe from donor 2, a 28-year-old coregistered donor of patient 2 (56-year-old man), who in turn received a right liver lobe from donor 3, a 35-year-old woman who was a coregistered donor of patient 3. Patient 3, a 46-year-old man, received a right liver lobe from donor 1, a 22-year-old woman who was a coregistered donor of patient 1, completing the cycle (Figure). Five PKLI consultant surgeons and 7 senior registrars led the hepatectomies and liver allotransplants; 6 operating rooms were used simultaneously. One month postsurgery, all patients and donors are robust with no graft rejection. All the donors are doing well in the follow-up visits and have shown no psychological issues."
Here's a sentence in the acknowledgements:
"We thank Alex Chan, MPH (Stanford University, Palo Alto, California), whose initiative and expertise in economics were the key driving forces for launching liver exchange."
And here are the references cited:
Here's a Stanford story on this collaboration:
"The liver exchange idea actually came out of a term paper in a first-year market design class at Stanford," Chan said.
"As he learned more about liver transplants, Chan realized there were important biological and ethical differences from kidney transplants.
...
"Instead of just finding compatible swaps, we want to find swaps that prioitize the most urgent patients first in order to prevent the most deaths," Chan said.
*******
Here are some contemporaneous stories from March in the newspaper Dawn (now that the JAMA embargo on the story is lifted):
Alex Chan is interviewed on the role of pharmacy benefit managers, their role in drug pricing, and some problems with the market design.
The University of Tokyo Market Design center hosts Rising Stars in Market Design
Starting tomorrow, a short course in market design:
BIOS 203, Fall 2021: Market Design and Field Experiments for Health Policy and Medicine
Primary Instructor: Alex Chan chanalex@stanford.edu | Office Hours: By appointment
Secondary Instructor: Kurt Sweat kurtsw@stanford.edu | Office Hours: By appointment
Description. Market design is an emerging field in economics, engineering and computer science about how to organize systems to allocate scarce resources. In this course, we study (1) the theory and practice of market design in healthcare and medicine, and (2) methods to evaluate the impact of such designs. Students will be provided with the necessary tools to diagnose the problems in markets and allocation mechanisms that render them inefficient, and subsequently develop a working toolbox to remedy failed markets and finetune new market and policy designs.
With a practical orientation in mind, we will learn how to construct rules for allocating resources or to structure successful marketplaces through successive examples in healthcare and medicine: medical residency matching, kidney exchange, allocation of scarce medical resources like COVID vaccine and tests, medical equipment procurement, online marketplace for doctors, and, if time permits, reward system for biopharmaceutical innovation. Guest lectures by practicing market designers and C-suite healthcare executives (CEO, CFO) would feature in the course as well.
An important goal of the class is to introduce you to the critical ingredients to a successful design: a solid understanding of institutions, grasps of economic theory, and well-designed experiments and implementation. In the final sessions, students will also learn how to design and deploy one of the most powerful tools in practical market design: A/B testing or randomized field experiments. These techniques are widely used by tech companies like UBER, Amazon, eBay, and others to improve their marketplaces.
At the end of the course, students should have acquired the necessary knowledge to become an avid consumer and user, and potentially a producer, of the market design and field experimental literature (recognized by 4 recent Nobel Prizes in Economics: 2007/2012/2019/2020).
Time & Location.
● Tue, Thu 6:30 PM - 8:00 PM (beginning November 16, 2021) at Encina Commons Room 119
Course Webpage. ● https://canvas.stanford.edu/courses/145148
Schedule and Readings
(* required readings, others are optional)
Session 1. Market design and Marketplaces – November 16
1. * Roth, A. E. (2007). The art of designing markets. harvard business review, 85(10), 118.
2. Kominers, S. D., Teytelboym, A., & Crawford, V. P. (2017). An invitation to market design. Oxford Review of Economic Policy, 33(4), 541-571.
3. Roth, A. E. (2002). The economist as engineer: Game theory, experimentation, and computation as tools for design economics. Econometrica, 70(4), 1341-1378
Session 2. Matching Markets: Medical Residents and the NRMP – November 18
1. * Chapter 1 in Gura, E. Y., & Maschler, M. (2008). Insights into game theory: an alternative mathematical experience. Cambridge University Press.
2. * Fisher, C. E. (2009). Manipulation and the Match. JAMA, 302(12), 1266-1267.
3. * National Resident Matching Program. (2021). Feasibility of an Early Match NRMP Position Statement
4. Roth, A. E., & Peranson, E. (1997). The effects of the change in the NRMP matching algorithm. JAMA, 278(9), 729-732.
5. Gale, D., & Shapley, L. S. (1962). College admissions and the stability of marriage. The American Mathematical Monthly, 69(1), 9-15.
Session 3. Kidney Exchange and Organ Allocation – November 30
1. * Wallis, C. B., Samy, K. P., Roth, A. E., & Rees, M. A. (2011). Kidney paired donation. Nephrology Dialysis Transplantation, 26(7), 2091-2099.
2. * Chapter 3 in Roth, A. E. (2015). Who gets what—and why: The new economics of matchmaking and market design. Houghton Mifflin Harcourt.
3. Gentry, S. E., Montgomery, R. A., & Segev, D. L. (2011). Kidney paired donation: fundamentals, limitations, and expansions. American journal of kidney diseases, 57(1), 144-151.
4. Salman, S., Gurev, S., Arsalan, M., Dar, F., & Chan, A. Liver Exchange: A Pathway to Increase Access to Transplantation.
5. Sweat, K. R. Redesigning waitlists with manipulable priority: improving the heart transplant waitlist.
6. Agarwal, N., Ashlagi, I., Somaini, P., & Waldinger, D. (2018). Dynamic incentives in waitlist mechanisms. AEA Papers & Proceedings, 108, 341-347.
Session 4. 1 st Half: Repugnance as a Constraint on Markets – December 2
1. * Roth, A. E. (2007). Repugnance as a Constraint on Markets. Journal of Economic perspectives, 21(3), 37-58.
2. * Minerva, F., Savulescu, J., & Singer, P. (2019). The ethics of the Global Kidney Exchange programme. The Lancet, 394(10210), 1775-1778.
3. Chapter 11 in Roth, A. E. (2015). Who gets what—and why: The new economics of matchmaking and market design. Houghton Mifflin Harcourt.
2 nd Half: Market Design and Allocation during COVID-19 – December 2
1. * Emanuel, E. J., Persad, G., Upshur, R., Thome, B., Parker, M., Glickman, A., ... & Phillips, J. P. (2020). New England Journal of Medicine. Fair allocation of scarce medical resources in the time of Covid-19.
2. Piscitello, G. M., Kapania, E. M., Miller, W. D., Rojas, J. C., Siegler, M., & Parker, W. F. (2020). Variation in ventilator allocation guidelines by US state during the coronavirus disease 2019 pandemic: a systematic review. JAMA network open, 3(6), e201
3. Schmidt, H., Pathak, P., Sönmez, T., & Ünver, M. U. (2020). Covid-19: how to prioritize worse-off populations in allocating safe and effective vaccines. British Medical Journal, 371.
4. Schmidt, H., Pathak, P. A., Williams, M. A., Sonmez, T., Ünver, M. U., & Gostin, L. O. (2020). Rationing safe and effective COVID-19 vaccines: allocating to states proportionate to population may undermine commitments to mitigating health disparities. Ava
5. Neimark, J. (2020). What is the best strategy to deploy a COVID-19 vaccine. Smithsonian Magazine.
Session 5. 1 st Half: Auction Design and Procurement in Medicine – December 7
1. * The Committee for the Prize in Economic Sciences in Memory of Alfred Nobel. (2020). Improvements to auction theory and inventions of new auction formats. Scientific Background on the Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel 20
2. * Song, Z., Cutler, D. M., & Chernew, M. E. (2012). Potential consequences of reforming Medicare into a competitive bidding system. Jama, 308(5), 459-460.
3. Newman, D., Barrette, E., & McGraves-Lloyd, K. (2017). Medicare competitive bidding program realized price savings for durable medical equipment purchases. Health Affairs, 36(8), 1367-1375.
4. Cramton, P., Ellermeyer, S., & Katzman, B. (2015). Designed to fail: The Medicare auction for durable medical equipment. Economic Inquiry, 53(1), 469-485.
5. Ji, Y. (2019). The Impact of Competitive Bidding in Health Care: The Case of Medicare Durable Medical Equipment.
6. Thaler, R. H. (1988). Anomalies: The winner's curse. Journal of economic perspectives, 2(1), 191-202.
7. Chapter 2 in Haeringer, G. (2018). Market design: auctions and matching. MIT Press.
2 nd Half: (GUEST LECTURE) Ralph Weber, CEO, MediBid Inc. on “The Online Marketplace for Medicine” – December 7
Session 6. A/B Testing and Field Experiments to Test Designs – December 9
1. * Chapters 1, 4 in List, John. (2021). A Course in Experimental Economics (unpublished textbook, access on course website)
2. * Gallo, A. (2017). A refresher on A/B testing. Harvard Business Review, 2-6.
3. Chan, A. (2021). Customer Discrimination and Quality Signals – A Field Experiment with Healthcare Shoppers.
4. Kessler, J. B., Low, C., & Sullivan, C. D. (2019). Incentivized resume rating: Eliciting employer preferences without deception. American Economic Review, 109(11), 3713-44.
5. Chapters 3, 5, 6, 7, 8 in List, John. (2021). A Course in Experimental Economics (unpublished textbook, access on course website)
6. The Committee for the Prize in Economic Sciences in Memory of Alfred Nobel. (2019). Understanding development and poverty alleviation. Scientific Background on the Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel 2019.
Bonus Session (optional). (GUEST LECTURE) Donald Lung, CFO, Antengene on “Designing Markets to Access Biopharmaceutical Intellectual Property Across Regulatory Regimes – the Case of China” – Date TBD
Bonus Session (optional). (GUEST LECTURE) TBD – Date TBD