people waiting in a line.

How the Government Can Prevent Individuals from Using Wealth to Cut the Vaccine Line

Cross-posted from COVID-19 and The Law, where it originally appeared on January 27, 2021. 

By

Since the Food & Drug Administration granted emergency use authorization for the COVID-19 vaccines produced by Pfizer-BioNTech and Moderna in December 2020, there have been many debates on vaccine allocation and prioritization.

As noted by Harvard Law School Professor Glenn Cohen in a recent interview with Annie Kapnick for the COVID-19 and The Law series, the issue of vaccine distribution is “complicated” because of competing factors decision-makers must consider. The relative weights placed on these factors has led to very different prioritization schemes. Initially, the Centers for Disease Control and Prevention (CDC) recommended a hybrid plan that appeared to prioritize individuals who were most likely to contract the virus (e.g., first responders, grocery store workers) over individuals most vulnerable to severe symptoms or death from the virus if contracted (e.g., individuals over the age of 65 not in long-term care facilities). In the United Kingdom, the prioritization groups were primarily based on vulnerability. Similarly, when looking more narrowly at the various plans being implemented at the state level in the United States, there are high degrees of variation.

This post does not seek to evaluate the merits of these or other specific vaccine allocation plans. Rather, it will address a risk that all plans likely face: the potential of individuals using their wealth and access to “cut the line” and be vaccinated ahead of schedule.
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Health care workers in personal protective equipment attend to a patient.

How Can Policymakers Overcome the Hurdles to Scaling up Antibody Manufacturing?

Cross-posted from Written Description, where it originally appeared on February 18, 2021. 

By Rachel SachsJacob S. SherkowLisa Larrimore Ouellette, and Nicholson Price

In our last post, we introduced some of the clinical evidence supporting the use of therapeutic antibodies against COVID-19—including Regeneron’s casirivimab and imdevimab and Eli Lilly’s bamlanivimab—and analyzed the existing problems in the distribution and administration of those therapies. Even in just the last few weeks, further clinical evidence has supported the use of these technologies, leading the FDA to issue an additional emergency use authorization for Lilly’s bamlanivimab and etesevimab cocktail. In the near future, though, problems in administering our existing supply of these new drugs may give way to problems producing enough of them—a challenge that is also affecting the vaccine rollout. In this post, we consider the difficult manufacturing issues involved in the therapeutic antibody context (a subject we’ve previously explored regarding vaccines), and what might be done to address them.

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These patients’ samples were to be tested for SARS-CoV-2 antibodies, using the Centers for Disease Control and Prevention (CDC) serologic test.

Why Aren’t Therapeutic Antibodies Being Used More to Treat COVID-19?

Cross-posted from Written Description, where it originally appeared on January 29, 2021. 

By Nicholson PriceRachel SachsJacob S. Sherkow, and Lisa Larrimore Ouellette

When former President Donald Trump contracted COVID-19 in fall 2020, he was treated with monoclonal antibodies, touted as potentially miraculous treatments. Unlike other treatments so touted, there is some rigorous evidence to support these assertions: antibody drugs look like the best treatments currently available to prevent COVID cases from progressing to hospitalization. But months later, the drugs are in limited use and seem to be only a moderately important part of the COVID-19 response. Why aren’t antibodies making more of a difference for ordinary Americans?

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lady justice.

Computational Psychiatry for Precision Sentencing in Criminal Law

By Francis X. Shen

A core failing of the criminal justice system is its inability to individualize criminal sentences and tailor probation and parole to meet the unique profile of each offender.

As legal scholar, and now federal judge Stephanos Bibas has observed, “All too often … sentencing guidelines and statutes act as sledgehammers rather than scalpels.”

As a result, dangerous offenders may be released, while offenders who pose little risk to society are left behind bars. And recidivism is common — the U.S. has an astounding recidivism rate of 80% — in part because the current criminal justice system largely fails to address mental health challenges, which are heavily over-represented in the justice system.

Advances in computational psychiatry, such as the deep phenotyping methods explored in this symposium, offer clinicians newfound abilities to practice precision psychiatry. The idea behind precision psychiatry is both simple and elusive: treat individuals as individuals. Yet advancing such a program in practice is “very ambitious” because no two individual brains — and the experiences those brains have had over a lifetime — are the same.

Deep phenotyping offers the criminal justice system the tools to improve public safety, identify low-risk offenders, and modify decision-making to reduce recidivism. Computational psychiatry can lead to what can be described as precision sentencing.

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phone camera

Deep Phenotyping Could Help Solve the Mental Health Care Crisis

By Justin T. Baker

The United States faces a growing mental health crisis and offers insufficient means for individuals to access care.

Digital technologies — the phone in your pocket, the camera-enabled display on your desk, the “smart” watch on your wrist, and the smart speakers in your home — might offer a path forward.

Deploying technology ethically, while understanding the risks of moving too fast (or too slow) with it, could radically extend our limited toolkit for providing access to high-quality care for the many individuals affected by mental health issues for whom the current mental health system is either out of reach or otherwise failing to meet their need.

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Life preserver on boat.

Incidental Findings in Deep Phenotyping Research: Legal and Ethical Considerations

By Amanda Kim, M.D., J.D., Michael Hsu, M.D., Amanda Koire, M.D., Ph.D., Matthew L. Baum, M.D., Ph.D., D.Phil.

What obligations do researchers have to disclose potentially life-altering incidental findings (IFs) as they happen in real time?

Deep phenotyping research in psychiatry integrates an individual’s real-time digital footprint (e.g., texts, GPS, wearable data) with their biomedical data (e.g., genetic, imaging, other biomarkers) to discover clinically relevant patterns, usually with the aid of machine learning. Findings that are incidental to the study’s objectives, but that may be of great importance to participants, will inevitably arise in deep phenotyping research.

The legal and ethical questions these IFs introduce are fraught. Consider three hypothetical cases below of individuals who enroll in a deep phenotyping research study designed to identify factors affecting risk of substance use relapse or overdose:

A 51-year-old woman with alcohol use disorder (AUD) is six months into sobriety. She is intrigued to learn that the study algorithm will track her proximity to some of her known triggers for alcohol relapse (e.g., bars, liquor stores), and asks to be warned with a text message when nearby so she can take an alternative route. Should the researchers share that data?

A 26-year-old man with AUD is two years into sobriety. Three weeks into the study, he relapses. He begins arriving to work inebriated and loses his job. After the study is over, he realizes the researchers may have been able to see from his alcohol use surveys, disorganized text messages, GPS tracking, and sensor data that he may have been inebriated at work, and wishes someone had reached out to him before he lost his job. Should they have?

A 35-year-old man with severe opioid use disorder experiences a near-fatal overdose and is discharged from the hospital. Two weeks later, his smartphone GPS is in the same location as his last overdose, and his wearable detects that his respiratory rate has plummeted. Should researchers call EMS? Read More

Pen hovering over words "I agree" with check box next to it.

Unique Challenges to Informed Consent in Deep Phenotyping Research

By Benjamin C. Silverman

Deep phenotyping research procedures pose unique challenges to the informed consent process, particularly because of the passive and boundless nature of the data being collected and how this data collection overlaps with our everyday use of technology.

As detailed elsewhere in this symposium, deep phenotyping in research involves the collection and analysis of multiple streams of behavioral (e.g., location, movement, communications, etc.) and biological (e.g., imaging, clinical assessments, etc.) data with the goal to better characterize, and eventually predict or intervene upon, a number of clinical conditions.

Obtaining voluntary competent informed consent is a critical aspect to conducting ethical deep phenotyping research. We will address here several challenges to obtaining informed consent in deep phenotyping research, and describe some best practices and relevant questions to consider.

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Person typing on computer.

Lessons Learned from Deep Phenotyping Patients with Rare Psychiatric Disorders

By Catherine A Brownstein and Joseph Gonzalez-Heydrich

Given the potential sensitivities associated with describing (i.e., phenotyping) patients with potentially stigmatizing psychiatric diagnoses, it is important to acknowledge and respect the wishes of the various parties involved.

The phenotypic description and depiction of a patient in the literature, although deidentified, may still be of great impact to a family.

By way of example, a novel genetic variant was identified as a likely explanation for the clinical presentation of a patient in a large cohort of individuals with neurodevelopmental and/or psychiatric phenotypes, a finding of great medical interest. The research team elected to further study this candidate and collected samples for functional evaluation of the gene variant and preparation of a case report.

Because the patient had a complicated phenotype, several physicians from various specialties were involved in the patient’s care. The paper draft was circulated amongst the collaborating clinicians and researchers and ultimately shared with the patient’s family by one of their involved caregivers. This is typically not a requirement of such studies, as the informed consent process includes the subjects’ understanding and consent for dissemination of deidentified results in the scientific literature. But as a general practice, families are informed about manuscripts in process, and in this case the family had requested to be kept abreast of ongoing developments.

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doctor holding clipboard.

“Actionability” and the Ethics of Communicating Results to Study Participants

By Patrick Monette

To what end does a physician have a responsibility toward a research participant? Specifically, what data may be considered “actionable” for the physician to disclose to the patient, and when and how might this be done?

In the clinical setting, contemporary medical ethics address a physician’s “fiduciary responsibility.” That is, there is a well-established professional expectation that the physician will place the patient’s interests above their own and advocate for their welfare. This post focuses on an alternative dyad, that of physician and research participant, to explore how the field has broached the topic of actionability in the setting of clinical research. Read More

Vial and syringe.

What Can Policymakers Learn from the Slow COVID-19 Vaccine Rollout?

Cross-posted from Written Description, where it originally appeared on January 12, 2021. 

By Lisa Larrimore OuelletteNicholson PriceRachel Sachs, and Jacob S. Sherkow

In the middle of a record number of COVID-19 infections and deaths—and continued evidence of racial disparities in the pandemic’s effects—December brought some good news to the fight against the pandemic: the FDA’s emergency use authorizations (EUAs) for the Pfizer-BioNTech and Moderna vaccines and the ensuing nationwide rollouts. The record-breaking vaccine development timeline and the videos of healthcare workers receiving early vaccines are worth celebrating.

But the subsequent distribution has been tragically slow—echoing distribution challenges for COVID-related goods ranging from PPE to diagnostics. On Dec. 29, Dr. Leana Wen noted that at the initial vaccination rate, it would take 10 years to vaccinate the roughly 80% of Americans needed to achieve herd immunity. According to Bloomberg’s vaccine tracker, as of today, fewer than 10 million vaccines have been administered in the United States. States are still sitting on nearly two-thirds of the doses they have received, and the federal government is holding half the U.S. supply in reserve. In this post we explain what went wrong and how policymakers can correct course for COVID-19 and avoid such disasters in the future.

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