Sen. Kyrsten Sinema has received almost $100,000 from drug companies in the current election cycle, a KHN analysis shows, one of the largest cash hauls in Congress.
This article was first published on Friday, May 29, 2020 in Kaiser Health News.
Sen. Kyrsten Sinema formed a congressional caucus to raise “awareness of the benefits of personalized medicine” in February. Soon after that, employees of pharmaceutical companies donated $35,000 to her campaign committee.
Amgen gave $5,000. So did Genentech and Merck. Sanofi, Pfizer and Eli Lilly all gave $2,500. Each of those companies has invested heavily in personalized medicine, which promises individually tailored drugs that can cost a patient hundreds of thousands of dollars.
Sinema is a first-term Democrat from Arizona but has nonetheless emerged as a pharma favorite in Congress as the industry steers through a new political and economic landscape formed by the coronavirus.
She is a leading recipient of pharma campaign cash even though she’s not up for reelection until 2024 and lacks major committee or subcommittee leadership posts. For the 2019-20 election cycle through March, political action committees run by employees of drug companies and their trade groups gave her $98,500 in campaign funds, Kaiser Health News’ Pharma Cash to Congress database shows.
That stands out in a Congress in which a third of the members got no pharma cash for the period and half of those who did got $10,000 or less. The contributions give companies a chance to cultivate Sinema as she restocks from a brutal 2018 election victory that cost nearly $25 million. Altogether, pharma PACs have so far given $9.2 million to congressional campaign chests in this cycle, compared with $9.4 million at this point in the 2017-18 period, a sustained surge as the industry has responded to complaints about soaring prices.
Sinema’s pharma haul was twice that of Sen. Susan Collins of Maine, considered one of the most vulnerable Republicans in November, and approached that of fellow Democrat Steny Hoyer, the powerful House majority leader from Maryland.
It all adds up to a bet by drug companies that the 43-year-old Sinema, first elected to the Senate in 2018, will gain influence in coming years and serve as an industry ally in a party that also includes many lawmakers harshly critical of high drug prices and the companies that set them.
“This is a long-term play,” said Steven Billet, a former AT&T lobbyist who teaches PAC management at George Washington University. “She’s more of a moderate than people are giving her credit for. If I’m a pharmaceutical guy, I’m saying, ‘You know what? Maybe this is somebody we can work with down the road.’”
The industry’s pivot to Sinema comes as powerful favorites such as former Sen. Orrin Hatch of Utah and retiring Rep. Greg Walden of Oregon, both Republicans, fade from the scene.
Bisexual, an LGBTQ rights advocate and a former member of the Arizona Green Party, Sinema said in 2006 that she was the most liberal member of the Arizona State Legislature, according to HuffPost. These days, representing traditionally conservative Arizona statewide, she portrays herself as a moderate. She favors better medical coverage by improving the insurance company-friendly Affordable Care Act, for example, not by scrapping it in exchange for “Medicare for All.”
“Sinema is a talented politician who knows where she needs to be politically and will get there,” said Nathan Gonzales, editor of Inside Elections, a nonpartisan newsletter.
Sinema’s spokesperson did not respond to queries from KHN.
First elected to the U.S. House in 2012, she has a history of supporting pharmaceutical and biotech firms, dozens of which have operations in Arizona. Her acceptance of drug industry campaign contributions sets her apart from Democrats such as Sen. Cory Booker of New Jersey who have pledged to reject pharma money, not to mention those who spurn all corporate cash.
“The Republican Party tends to be more receptive to pharma cash,” said Paul Jorgensen, a political science professor at the University of Texas Rio Grande Valley, who analyzes campaign finance. “You’re going to see divisions within the party on pharma on the Democratic side.”
In 2017 Sinema introduced a House bill, strongly supported by the Biotechnology Innovation Organization trade group, that would have eased financial regulation on publicly traded biotech firms with little revenue. The measure has not become law, but two weeks later BIO named Sinema “Legislator of the Year,” calling her a “stalwart advocate” for life sciences jobs.
“We welcome the opportunity to work with any policymaker who understands the value of science, the risks, costs and challenges of developing new medicines, and the need to ensure patients have access to medicines with out-of-pocket costs they can afford,” BIO spokesperson Brian Newell said.
Sinema portrayed her backing of a 2016 measure to accelerate the introduction of scarce generic drugs as a blow against high drug costs. A version became law the next year. But support for the bill by the Pharmaceutical Research and Manufacturers of America, the main brand-drug lobby, prompted some to question its potential to bring down overall drug prices.
Sinema was a strong advocate of the biggest overhaul of over-the-counter drug regulation in almost half a century. The measure became law in March with little public notice as part of the CARES Act to rescue the economy and fight the coronavirus. It gives the Food and Drug Administration new leeway to move against possibly dangerous drugs, sets up industry fees to pay for accelerated reviews and creates incentives to bring new medicines to market.
The changes drew widespread, bipartisan support. The old OTC regulation “wasn’t good for anyone,” said Joshua Sharfstein, who was deputy FDA commissioner in the Obama administration. “It wasn’t good for consumers. It wasn’t good for industry.”
The new system resembles the user-fee financing of regulation for prescription drugs. But making the FDA dependent on drug company money for OTC oversight — subject to periodic negotiation with industry — makes the agency beholden to the companies it oversees, said David Hilzenrath, chief investigative reporter for the Project on Government Oversight, a watchdog nonprofit.
Accelerating review of OTC medicines “may be a double-edged sword,” he said. “It could speed decisions that benefit the public and it could speed decisions that put the public at risk.”
Personalized medicine — also known as precision medicine — promises to use genetic characteristics and other traits to identify which treatments are best for a particular patient.
“Raising awareness of the benefits of personalized medicine helps detect and prevent diseases, while making health care more affordable and accessible for Arizona families” was Sinema’s quote in the press release.
But affordability has not been a hallmark of personalized medicine so far. Like other recent pharma products, genetically targeted medicines and tests can come with extremely high prices while sometimes delivering mediocre benefits, health policy analysts say.
One of the best-known precision medicines is Merck’s Keytruda, used against a variety of cancer tumors with certain genetic profiles. It costs more than $100,000 a year.
“It’s a good drug,” said Vinay Prasad, an associate professor at the University of California-San Francisco who studies health policy and cancer drugs. “But behind it is a marketing machine that is trying to maximize its use.”
In any case, personalized medicine generally “has been a mixed bag,” with prices for cancer drugs that are “universally horrendous,” he said. Industry enthusiasm may be “motivated by the fact that when something is called precision or personalized, the regulatory bar needed to approve it is lower,” he added. “And that is often good for profits.”
Aspen was an early COVID-19 hot spot in Colorado, with a cluster of cases in March linked to tourists visiting for its world-famous skiing. Tests were in short supply, making it difficult to know how the virus was spreading.
So in April, when the Pitkin County Public Health Department announced it had obtained 1,000 COVID-19 antibody tests that it would offer residents at no charge, it seemed like an exciting opportunity to evaluate the efforts underway to stop the spread of the virus.
"This test will allow us to get the epidemiological data that we've been looking for," Aspen Ambulance District director Gabe Muething said during an April 9 community meeting held online.
However, the plan soon fell apart amid questions about the reliability of the test from Aytu BioScience. Other ski towns such as Telluride, Colorado, and Jackson, Wyoming, as well as the less wealthy border community of Laredo, Texas, were also drawn to antibody testing to inform decisions about how to exit lockdown. But they, too, determined the tests weren't living up to their promise.
The allure of antibody tests is understandable. Although they can't find active cases of COVID-19, they can identify people who previously have been infected with the coronavirus that causes the disease, which could give health officials important epidemiological information about how widely it has spread in a community and the extent of asymptomatic cases. In theory, at least, antibodies would be present in such people whether they had a severe case, little more than a dry cough or no complaints at all.
Even more enticing: These tests were billed as a path to restart local economies by identifying people who might be immune to the virus and could therefore safely return to the public sphere.
But, in these and other communities, testing programs initially slated to test hundreds or thousands have been scaled back or put on hold.
"I don't think these tests are ready for clinical use yet," said University of California-San Francisco immunologist Dr. Alexander Marson, who has studied their reliability. He and his team vetted 12 different antibody tests and found all but one turned up false positives — implying that someone had antibodies when they didn't ― with false-positive rates reaching as high as 16%. (The study is preliminary and has not been peer-reviewed yet.)
More than 100 antibody tests are currently available in the U.S., including offerings by commercial labs, academic centers and small entrepreneurial ventures. As serious questions emerged earlier this month about the accuracy of the tests and the usefulness of the results, the U.S. Food and Drug Administration said it will require companies to submit validation data on their products and apply for emergency-use authorizations for their products. (Previously, companies were allowed to sell their tests without review from the FDA, as long as they did their own validation and included a disclaimer.) And the American Medical Association said on May 14 that the tests should not be used to assess an individual's immunity or when to end physical distancing.
And this week, the Centers for Disease Control and Prevention released new guidelines warning that antibody test results can have high false positive rates and should not be used to make decisions about returning people to work, schools, dorms or other places where people congregate.
Once hailed as a solution, the current crop of tests, which have not been thoroughly vetted by any regulatory agency, now seem more likely to add chaos and uncertainty to a situation already fraught with anxiety. "To give people a false sense of security has a lot of danger right now," said Dr.Travis Riddell, the health officer for Teton County, which includes Jackson, Wyoming.
Accuracy Questions Raised
The gold standard for confirming an active COVID-19 infection is to take a swab from the nasopharynx and test it for the presence of viral RNA. The antibody tests instead parse the blood for antibodies against the COVID-19 virus. It takes time for an infected person to produce antibodies, so these tests can't diagnose an ongoing infection, only indicate that a person has encountered the virus.
In Aspen, county officials knew the FDA had not approved the Aytu BioScience test, which the Colorado-based company was importing from China. So they first conducted their own validation tests, said Bill Linn, spokesperson for the Pitkin County Incident Management Team. "We weren't reassured enough by our own testing to feel like we should move ahead."
In Laredo, officials had been told by one of the community members helping to arrange the purchase of 20,000 tests from the Chinese company Anhui DeepBlue Medical Technology that they were FDA-approved, but the city's own validation trials revealed only about a 20% accuracy rate, said Laredo spokesperson Rafael Benavides. Before Laredo could pay for the tests, Benavides said, an arm of U.S. Immigration and Customs Enforcement seized them and launched an investigation.
Neither Anhui DeepBlue Medical Technology, nor Aytu returned requests for comment.
In March, Covaxx, a company led by two part-time Telluride residents, offered to test residents of the town and the surrounding county with an antibody test it had developed. But the project was suspended indefinitely when the company's testing facility fell behind on processing them.
The county is committed to doing a second round of testing but is evaluating how to proceed, said San Miguel County spokesperson Susan Lilly. "The question is how do you target it to be the most relevant clinically and for the public health team's decision-making moving forward?"
In some wealthy areas, government officials had been offering free tests from startups with local investors. In Jackson, for example, a venture capitalist with an investment in Covaxx, the test used in Telluride, offered to help the city obtain 1,000 tests. But after reviewing the offer, Teton County declined over concerns about the test's accuracy. "If a person tests positive, what does that mean? And is that useful information? We just don't know yet," Riddell said.
Covaxx spokesperson John Schaefer said in a statement that the test had been validated on more than 900 blood samples and is being reviewed by the FDA.
After Teton County officials decided against community antibody testing, a private nonprofit, Test Teton Now, sprung up to provide free COVID-19 antibody testing using the Covaxx test for roughly 8,000 people, about a third of the county's residents. As of May 22, they'd raised $396,000 and tested 843 samples. The group has "done a lot" to verify the Covaxx tests, said Test Teton Now president Shaun Andrikopoulos. "I don't want to call it validation, because we didn't go through an independent review board, but we have sent our samples out to other labs."
Organizers of Test Teton Now don't share others' concerns about the test's utility. "We don't encourage people to make any decisions about what they're going to do or how they're going to behave based on the results," said the nonprofit's spokesperson, Jennifer Ford.
What good is a test that can't be used for practical purposes? "We think knowledge is power, and data is the beginning of knowledge," Ford said. But unreliable data doesn't give knowledge, it gives an illusion of knowledge.
So many unknowns remain, and false data may be worse than none. Even a very accurate test will produce a large number of false positives when used in a population where few people have been infected. If only 4% of people have actually been infected, a test with 95% accuracy would produce nine positive results for every 100 tests, five of which are false positives.
And that creates a danger that the tests could lead people to incorrectly think that they have antibodies that make them immune, which could have disastrous consequences if they changed their behavior as a result. Consider, for example, a person falsely told she had antibodies going to work at a nursing home, believing she couldn't catch or spread the virus to anyone.
It's not even known for sure that having antibodies makes someone immune. Researchers are hopeful that exposure can confer some level of immunity, but how strong that immunity might be and how long it might last remain unknown, said Harvard epidemiologist Marc Lipsitch.
So, having been burned once, Aspen has put antibody testing on hold and is instead focusing on identifying and isolating people who are sick or at risk of becoming so. "It's actually a step back to where we started," Linn said.
Given the remaining unknowns about immunity and COVID-19, the best methods for addressing the pandemic in communities may be the most time-tested ones, Linn said. "Put the sick people in places where they can't get anyone else sick. It's the bread and butter of epidemiology."
A new polls finds 48% of Americans or a family member has delayed medical care because of the pandemic and 11% said the condition worsened because of it.
This article was first published on Wednesday, May 27, 2020 in Kaiser Health News.
As the coronavirus threat ramped up in March, hospitals, health systems and private practices dramatically reduced inpatient, nonemergency services to prepare for an influx of COVID-19 patients. A poll released Wednesday reveals that the emptiness of medical care centers may also reflect the choices patients made to delay care.
The Kaiser Family Foundation poll found that 48% of Americans said they or a family member has skipped or delayed medical care because of the pandemic, and 11% of them said the person's condition worsened as a result of the delayed care. (KHN is an editorially independent program of the foundation.)
Medical groups have noted a sharp drop-off in emergency patients across the country. Some, including the American College of Emergency Physicians, American College of Cardiology and American Heart Association, have publicly urged people concerned about their health to seek care.
Dr. William Jaquis, president of the American College of Emergency Physicians, said the anecdotes he's heard of people delaying care have been troubling, with patients suffering heart attacks or strokes at home. He urged people not to skip going to the emergency room, and pointed out the many safety precautions hospitals are taking to curb the spread of the coronavirus.
"Don't sit at home and have a bad outcome," Jaquis said. "We're certainly there and in many ways very safe, and, especially with low volumes in some places, we're able to see people quickly. Come on in, please."
According to the poll, nearly 7 in 10 of those who had skipped seeing a medical professional expect to get care in the next three months.
Despite a significant number of adults saying they delayed care, 86% of adults said their physical health has "stayed about the same" since the onset of the outbreak in the U.S.
Nearly 40% of Americans, however, said stress related to the coronavirus has negatively affected their mental health. Women were more likely than men to say the coronavirus has had a negative impact on their mental health, and those living in urban and suburban areas were more likely to say this than those living in rural areas. Nearly half of those living in households that have experienced income or job loss said the pandemic had a negative effect on their mental health.
The poll further reports on some of the economic consequences of the pandemic. It found that about 3 in 10 adults have had trouble paying household expenses, with 13% expressing difficulty paying for food and 11% paying medical bills. Nearly 1 in 4 adults said they or a family member in the next year will likely turn to Medicaid, the federal-state health insurance program for low-income residents.
Medicaid continues to show strong support among Americans. About three-quarters said they would oppose efforts by their states to cut the program as part of cost reductions.
The poll was conducted May 13-18 among 1,189 adults. The margin of sampling error is +/-3 percentage points for the full sample.
Timothy Regan, an estimator for a construction firm in Colorado, tried to do everything right when he started experiencing symptoms of COVID-19. He first called a nurse hotline, then was told to go to urgent care, and from there was triaged to the emergency room. His ER visit was coded as a Level 4, resulting in a $3,278 bill.
This article was first published on Monday, May 25, 2020 in Kaiser Health News.
From late March into April, Timothy Regan had severe coughing fits several times a day that often left him out of breath. He had a periodic low-grade fever, too.
Wondering if he had COVID-19, Regan called a nurse hotline run by Denver Health, a large public health system in his city. A nurse listened to him describe his symptoms and told him to immediately go to the hospital system’s urgent care facility.
When he arrived at Denver Health — where the emergency room and urgent care facility sit side by side at its main location downtown — a nurse directed him to the ER after he noted chest pain as one of his symptoms.
Regan was seen quickly and given a chest X-ray and electrocardiogram, known as an EKG, to check his lungs and heart. Both were normal. A doctor prescribed an inhaler to help his breathing and told him he might have bronchitis. The doctor advised that he had to presume he had COVID-19 and must quarantine at home for two weeks. At the time, on April 3, Denver Health reserved COVID tests for sicker patients. Two hours after arriving at the hospital, Regan was back home. His longest wait was for his inhaler prescription to be filled.
Regan wasn’t concerned just about his own health. His wife, Elissa, who is expecting their second child in August, and their 1-year-old son, Finn, also felt sick with COVID-like symptoms in April. “Nothing terrible, but enough to make me worry,” he said.
Regan, who is an estimator for a construction firm, worked throughout his sickness — including while quarantined at home. (Construction in Colorado and many states has been considered an essential business and has continued to operate.) Regan said he was worried about taking a day off and losing his job.
“I was thinking I had to make all the money I could in case we all had to be hospitalized,” he said. “All I could do was keep working in hopes that everything would be OK.”
Within a couple of weeks, the whole family, indeed, was OK. “We got lucky,” Elissa said.
Then the bill came.
The Patient: Timothy Regan, 40, an estimator for a construction company. The family has health insurance through Elissa’s job at a nonprofit in Denver.
Total Bill: Denver Health billed Regan $3,278 for the ER visit. His insurer paid $1,042, leaving Regan with $2,236 to pay based on his $3,500 in-network deductible. The biggest part of the bill was the $2,921 general ER fee.
Service Provider: Denver Health, a large public health system
Medical Service: Regan was evaluated in the emergency room for COVID-like symptoms, including a severe cough, fever and chest pain. He was given several tests to check his heart and lungs, prescribed an inhaler and sent home.
What Gives: When patients use hospital emergency rooms — even for short visits with few tests — it’s not unusual for them to get billed thousands of dollars no matter how minor the treatment received. Hospitals say the high fees come from having to staff the ER with specialists 24 hours a day and keep lifesaving equipment up to date.
Denver Health coded Timothy’s ER visit as a Level 4 — the second-highest and second-most expensive — on a 5-point scale. The other items on his bill were $225 for the EKG, $126 for the chest X-ray and $6 for his albuterol inhaler, a medication that provides quick relief for breathing problems.
The Regans knew they had a high deductible and they try to avoid unnecessarily using the ER. But, with physician offices not seeing patients with COVID-type symptoms in April, Timothy said he had little choice when Denver Health directed him first to the urgent care, then to its ER. “I felt bad, but I had been dealing with it for a while,” he said.
Elissa said they were trying hard to do everything by the book, including using a health provider in their plan’s network.
“We did not anticipate being hit with such a huge bill for the visit,” Elissa said. “We had intentionally called the nurse’s line trying to be responsible, but that did not work.”
In an effort to remove barriers from people getting tested and evaluated for COVID-19, UnitedHealthcare is one of many insurers that announced it will waive cost sharing for COVID-19 testing-related visits and treatment. But it is not clear how many people who had COVID symptoms but did not get tested when tests were in short supply have been billed as the Regans were.
Resolution: A Denver Health spokesperson said Regan was not tested for COVID because he was not admitted and did not have risk factors such as diabetes, heart disease or asthma. He was not billed as a COVID patient because he was not tested for the virus. The medical center has since expanded its testing capacity, the spokesperson said.
UnitedHealthcare officials reviewed Regan’s case at the request of KHN. Based on Regan’s symptoms and the tests performed, Denver Health should have billed them using a COVID billing code, an insurer spokesperson said. “We reprocessed Mr. Regan’s original claims after reviewing the services that he received,” a United Healthcare spokesperson said. “All cost share for that visit has been waived.”
The Regans said they were thrilled with UHC’s decision.
“That is wonderful news,” Elissa Regan said upon hearing from a KHN reporter that UHC would waive their costs. “We are very thankful. It is a huge relief.”
The Takeaway: The Regans said they initially found no satisfaction in calling the hospital or the insurer to resolve their dispute ― but it was the right thing to do.
“He’s definitely not alone,” said Sabrina Corlette, a research professor at Georgetown University’s Center on Health Insurance Reforms. “The takeaway here is both the provider as well as insurance company are still on a learning curve with respect to this virus and how to bill and pay for it.”
Corlette said Timothy should not have second-guessed his decision to use the Denver Health ER when directed there by a nurse. That, too, was the right call.
Insurers’ moves to waive costs associated with COVID testing and related treatment is vital to stemming the outbreak — but it works only if patients can trust they won’t get stuck with a large bill, she said. “It’s a critical piece of the public health strategy to beat this disease,” Corlette said.
To help with billing, she said, patients could ask their provider to note on their medical chart when they are seeking care for possible COVID-19. But it’s not the patient’s responsibility to make sure providers use the right billing code, she said. Patients need to know they have the right to appeal costs to their insurer. They can also seek assistance from their employer’s benefits department and state insurance department.
Bill of the Month is a crowdsourced investigation by Kaiser Health News and NPR that dissects and explains medical bills. Do you have an interesting medical bill you want to share with us? Tell us about it!
Overall, AI's implementation in everyday clinical care is less common than hype over the technology would suggest. Yet the coronavirus crisis has inspired some hospital systems to accelerate promising applications.
This article was first published on Friday, May 22, 2020 in Kaiser Health News.
Dr. Albert Hsiao and his colleagues at the University of California-San Diego health system had been working for 18 months on an artificial intelligence program designed to help doctors identify pneumonia on a chest X-ray. When the coronavirus hit the United States, they decided to see what it could do.
The researchers quickly deployed the application, which dots X-ray images with spots of color where there may be lung damage or other signs of pneumonia. It has now been applied to more than 6,000 chest X-rays, and it’s providing some value in diagnosis, said Hsiao, the director of UCSD’s augmented imaging and artificial intelligence data analytics laboratory.
His team is one of several around the country that has pushed AI programs developed in a calmer time into the COVID-19 crisis to perform tasks like deciding which patients face the greatest risk of complications and which can be safely channeled into lower-intensity care.
The machine-learning programs scroll through millions of pieces of data to detect patterns that may be hard for clinicians to discern. Yet few of the algorithms have been rigorously tested against standard procedures. So while they often appear helpful, rolling out the programs in the midst of a pandemic could be confusing to doctors or even dangerous for patients, some AI experts warn.
“AI is being used for things that are questionable right now,” said Dr. Eric Topol, director of the Scripps Research Translational Institute and author of several books on health IT.
Topol singled out a system created by Epic, a major vendor of electronic health records software, that predicts which coronavirus patients may become critically ill. Using the tool before it has been validated is “pandemic exceptionalism,” he said.
Epic said the company’s model had been validated with data from more 16,000 hospitalized COVID-19 patients in 21 health care organizations. No research on the tool has been published, but, in any case, it was “developed to help clinicians make treatment decisions and is not a substitute for their judgment,” said James Hickman, a software developer on Epic’s cognitive computing team.
Others see the COVID-19 crisis as an opportunity to learn about the value of AI tools.
“My intuition is it’s a little bit of the good, bad and ugly,” said Eric Perakslis, a data science fellow at Duke University and former chief information officer at the Food and Drug Administration. “Research in this setting is important.”
Nearly $2 billion poured into companies touting advancements in health care AI in 2019. Investments in the first quarter of 2020 totaled $635 million, up from $155 million in the first quarter of 2019, according to digital health technology funder Rock Health.
At least three health care AI technology companies have made funding deals specific to the COVID-19 crisis, including Vida Diagnostics, an AI-powered lung-imaging analysis company, according to Rock Health.
Overall, AI’s implementation in everyday clinical care is less common than hype over the technology would suggest. Yet the coronavirus crisis has inspired some hospital systems to accelerate promising applications.
UCSD sped up its AI imaging project, rolling it out in only two weeks.
Hsiao’s project, with research funding from Amazon Web Services, the University of California and the National Science Foundation, runs every chest X-ray taken at its hospital through an AI algorithm. While no data on the implementation has been published yet, doctors report that the tool influences their clinical decision-making about a third of the time, said Dr. Christopher Longhurst, UC San Diego Health’s chief information officer.
“The results to date are very encouraging, and we’re not seeing any unintended consequences,” he said. “Anecdotally, we’re feeling like it’s helpful, not hurtful.”
AI has advanced further in imaging than other areas of clinical medicine because radiological images have tons of data for algorithms to process, and more data makes the programs more effective, said Longhurst.
But while AI specialists have tried to get AI to do things like predict sepsis and acute respiratory distress — researchers at Johns Hopkins University recently won a National Science Foundation grant to use it to predict heart damage in COVID-19 patients — it has been easier to plug it into less risky areas such as hospital logistics.
In New York City, two major hospital systems are using AI-enabled algorithms to help them decide when and how patients should move into another phase of care or be sent home.
At Mount Sinai Health System, an artificial intelligence algorithm pinpoints which patients might be ready to be discharged from the hospital within 72 hours, said Robbie Freeman, vice president of clinical innovation at Mount Sinai.
Freeman described the AI’s suggestion as a “conversation starter,” meant to help assist clinicians working on patient cases decide what to do. AI isn’t making the decisions.
NYU Langone Health has developed a similar AI model. It predicts whether a COVID-19 patient entering the hospital will suffer adverse events within the next four days, said Dr. Yindalon Aphinyanaphongs, who leads NYU Langone’s predictive analytics team.
The model will be run in a four- to six-week trial with patients randomized into two groups: one whose doctors will receive the alerts, and another whose doctors will not. The algorithm should help doctors generate a list of things that may predict whether patients are at risk for complications after they’re admitted to the hospital, Aphinyanaphongs said.
Some health systems are leery of rolling out a technology that requires clinical validation in the middle of a pandemic. Others say they didn’t need AI to deal with the coronavirus.
Stanford Health Care is not using AI to manage hospitalized patients with COVID-19, said Ron Li, the center’s medical informatics director for AI clinical integration. The San Francisco Bay Area hasn’t seen the expected surge of patients who would have provided the mass of data needed to make sure AI works on a population, he said.
Outside the hospital, AI-enabled risk factor modeling is being used to help health systems track patients who aren’t infected with the coronavirus but might be susceptible to complications if they contract COVID-19.
At Scripps Health in San Diego, clinicians are stratifying patients to assess their risk of getting COVID-19 and experiencing severe symptoms using a risk-scoring model that considers factors like age, chronic conditions and recent hospital visits. When a patient scores 7 or higher, a triage nurse reaches out with information about the coronavirus and may schedule an appointment.
Though emergencies provide unique opportunities to try out advanced tools, it’s essential for health systems to ensure doctors are comfortable with them, and to use the tools cautiously, with extensive testing and validation, Topol said.
“When people are in the heat of battle and overstretched, it would be great to have an algorithm to support them,” he said. “We just have to make sure the algorithm and the AI tool isn’t misleading, because lives are at stake here.”
Vanderbilt University Medical Center conducted much of the COVID-19 testing in Tennessee during the early days through several designated outpatient clinics in Davidson and Williamson Counties, sometimes testing as many as 750 people a day.
This article was first published on Friday, May 22, 2020 in Kaiser Health News.
Hospitals around the country are afraid to send out hundreds of thousands of bills related to COVID-19 testing. That’s because Congress mandated there would be no copays and no out-of-pocket costs for patients. But many employers with self-funded health plans seem to believe they’re exempt from the rules.
When testing kits were still scarce, Vanderbilt University Medical Center in Nashville, Tennessee, fired up its clinical labs. It almost single-handedly took over testing in much of Tennessee. Other health systems didn’t even try to compete, although the tests were supposed to be covered by insurance.
In late March, Congress passed two laws, the Families First Coronavirus Response Act and the CARES Act, that essentially stated that not only does testing have to be covered, but patients shouldn’t have to pay a dime. Yet VUMC has found that’s frequently not the case.
“As many as half of those patients potentially have some out-of-pocket [cost], either for the tests or for companion services with the test,” VUMC Chief Financial Officer Cecelia Moore said.
VUMC is holding back bills for these patients, Moore said, rather than face a backlash of anger at surprise billing during the pandemic.
The issue comes down to an interpretation of whether the new federal legislation applies to health plans offered by larger employers. Those companies, which usually have at least a few hundred employees, often use their own money to pay claims as a way to drive down costs. A survey by the Kaiser Family Foundation finds a majority of Americans with health coverage are in this type of plan. (Kaiser Health News is an editorially independent program of the foundation.)
So BlueCross BlueShield of Tennessee may be on an employee’s insurance card, but the insurer is just managing the payments. The employer’s money pays the claims; these plans are often called self-funded or self-insured, and it may not be clear to employees that they are in such a plan.
According to multiple sources, many of the companies with those plans are operating as if they’re exempt from the new federal rules.
“In this case, it appears that the law may have left self-insured employers out of certain elements,” said Mike Thompson, CEO of the National Alliance of Healthcare Purchaser Coalitions.
The National Alliance represents employers with self-funded health plans. He said some are not waiving copays and other bills. Most are, he said, though sometimes only bills for the COVID-19 test itself and not for the doctor’s visit or the test to rule out the flu.
“Many of them have opted to cover on a first-dollar basis, but in different ways. They may or may not have included the related treatment elements,” Thompson said. He acknowledges the distinction would be lost on patients. “I get why it’s causing confusion.”
Other associations representing employer-funded health plans, including the Business Group on Health, said their members are generally following the spirit of the law.
Health policy experts don’t see any room for interpretation.
“It doesn’t matter if it’s a self-funded plan or a fully insured plan, if you get it from a small employer or a large employer, if you buy it on your own in the marketplace,” said Karen Pollitz, a senior fellow with KFF. “All private insurance has to cover 100% of the cost of COVID-19 testing.”
Pollitz said she is miffed that employers are trying to argue otherwise.
Still, it’s happening, and not only in Tennessee.
Duke Health in North Carolina confirms it’s not billing claims related to COVID testing or treatment, citing a lack of clarity in what the patient is responsible for paying. In California, UCSF Medical Center is also holding off on billing, and UCLA Medical Center is pressing health plans to pay their part.
“UCLA Health does not bill COVID-19 patients for testing even if their health plan erroneously does not pay,” spokesperson Enrique Rivero said in a written statement. “Our practice is to notify insurers of their error and request that they reprocess claims consistent with CARES Act guidelines.”
NYU Langone Health and Cleveland Clinic said they won’t bill patients any cost sharing for testing, even if that means they have to bear the cost.
The issue extends beyond academic medical centers. Envision Health, a Nashville-based firm that staffs and operates hundreds of emergency rooms around the country, is holding back 200,000 bills related to COVID-19 testing because of confusion about coverage of cost sharing.
So, many would-be surprise medical bills are still waiting to be sent out. At Vanderbilt alone, the medical center has held back more than $6 million in billing since mid-March.
“I know I’m supposed to be shaking everybody down, but we’re not right now,” said Heather Dunn, VUMC’s vice president of revenue cycle services.
Given the growing disdain for surprise medical bills, she expects a backlash from vulnerable patients.
“My greatest fear is [for] patients who are already suffering from the COVID virus or issues after or have lost their job. I’m hesitant to also say, ‘Your insurance company has passed along this $50 copay,’” she said.
Sometimes, the patient is also left with a large deductible to pay, in the hundreds of dollars.
Dunn said that she can’t delay billing forever and that just because the tests are supposed to be free to patients doesn’t mean they have no cost.
This story is part of a partnership that includes WPLN, NPR and Kaiser Health News.
Dr. Albert Hsiao and his colleagues at the University of California-San Diego health system had been working for 18 months on an artificial intelligence program designed to help doctors identify pneumonia on a chest X-ray. When the coronavirus hit the United States, they decided to see what it could do.
The researchers quickly deployed the application, which dots X-ray images with spots of color where there may be lung damage or other signs of pneumonia. It has now been applied to more than 6,000 chest X-rays, and it's providing some value in diagnosis, said Hsiao, the director of UCSD's augmented imaging and artificial intelligence data analytics laboratory.
His team is one of several around the country that has pushed AI programs developed in a calmer time into the COVID-19 crisis to perform tasks like deciding which patients face the greatest risk of complications and which can be safely channeled into lower-intensity care.
The machine-learning programs scroll through millions of pieces of data to detect patterns that may be hard for clinicians to discern. Yet few of the algorithms have been rigorously tested against standard procedures. So while they often appear helpful, rolling out the programs in the midst of a pandemic could be confusing to doctors or even dangerous for patients, some AI experts warn.
"AI is being used for things that are questionable right now," said Dr. Eric Topol, director of the Scripps Research Translational Institute and author of several books on health IT.
Topol singled out a system created by Epic, a major vendor of electronic health records software, that predicts which coronavirus patients may become critically ill. Using the tool before it has been validated is "pandemic exceptionalism," he said.
Epic said the company's model had been validated with data from more 16,000 hospitalized COVID-19 patients in 21 health care organizations. No research on the tool has been published, but, in any case, it was "developed to help clinicians make treatment decisions and is not a substitute for their judgment," said James Hickman, a software developer on Epic's cognitive computing team.
Others see the COVID-19 crisis as an opportunity to learn about the value of AI tools.
"My intuition is it's a little bit of the good, bad and ugly," said Eric Perakslis, a data science fellow at Duke University and former chief information officer at the Food and Drug Administration. "Research in this setting is important."
Nearly $2 billion poured into companies touting advancements in health care AI in 2019. Investments in the first quarter of 2020 totaled $635 million, up from $155 million in the first quarter of 2019, according to digital health technology funder Rock Health.
At least three health care AI technology companies have made funding deals specific to the COVID-19 crisis, including Vida Diagnostics, an AI-powered lung-imaging analysis company, according to Rock Health.
Overall, AI's implementation in everyday clinical care is less common than hype over the technology would suggest. Yet the coronavirus crisis has inspired some hospital systems to accelerate promising applications.
UCSD sped up its AI imaging project, rolling it out in only two weeks.
Hsiao's project, with research funding from Amazon Web Services, the University of California and the National Science Foundation, runs every chest X-ray taken at its hospital through an AI algorithm. While no data on the implementation has been published yet, doctors report that the tool influences their clinical decision-making about a third of the time, said Dr. Christopher Longhurst, UC San Diego Health's chief information officer.
"The results to date are very encouraging, and we're not seeing any unintended consequences," he said. "Anecdotally, we're feeling like it's helpful, not hurtful."
AI has advanced further in imaging than other areas of clinical medicine because radiological images have tons of data for algorithms to process, and more data makes the programs more effective, said Longhurst.
But while AI specialists have tried to get AI to do things like predict sepsis and acute respiratory distress — researchers at Johns Hopkins University recently won a National Science Foundation grantto use it to predict heart damage in COVID-19 patients — it has been easier to plug it into less risky areas such as hospital logistics.
In New York City, two major hospital systems are using AI-enabled algorithms to help them decide when and how patients should move into another phase of care or be sent home.
At Mount Sinai Health System, an artificial intelligence algorithm pinpoints which patients might be ready to be discharged from the hospital within 72 hours, said Robbie Freeman, vice president of clinical innovation at Mount Sinai.
Freeman described the AI's suggestion as a "conversation starter," meant to help assist clinicians working on patient cases decide what to do. AI isn't making the decisions.
NYU Langone Health has developed a similar AI model. It predicts whether a COVID-19 patient entering the hospital will suffer adverse events within the next four days, said Dr. Yindalon Aphinyanaphongs, who leads NYU Langone's predictive analytics team.
The model will be run in a four- to six-week trial with patients randomized into two groups: one whose doctors will receive the alerts, and another whose doctors will not. The algorithm should help doctors generate a list of things that may predict whether patients are at risk for complications after they're admitted to the hospital, Aphinyanaphongs said.
Some health systems are leery of rolling out a technology that requires clinical validation in the middle of a pandemic. Others say they didn't need AI to deal with the coronavirus.
Stanford Health Care is not using AI to manage hospitalized patients with COVID-19, said Ron Li, the center's medical informatics director for AI clinical integration. The San Francisco Bay Area hasn't seen the expected surge of patients who would have provided the mass of data needed to make sure AI works on a population, he said.
Outside the hospital, AI-enabled risk factor modeling is being used to help health systems track patients who aren't infected with the coronavirus but might be susceptible to complications if they contract COVID-19.
At Scripps Health in San Diego, clinicians are stratifying patients to assess their risk of getting COVID-19 and experiencing severe symptoms using a risk-scoring model that considers factors like age, chronic conditions and recent hospital visits. When a patient scores 7 or higher, a triage nurse reaches out with information about the coronavirus and may schedule an appointment.
Though emergencies provide unique opportunities to try out advanced tools, it's essential for health systems to ensure doctors are comfortable with them, and to use the tools cautiously, with extensive testing and validation, Topol said.
"When people are in the heat of battle and overstretched, it would be great to have an algorithm to support them," he said. "We just have to make sure the algorithm and the AI tool isn't misleading, because lives are at stake here."
If there is a silver lining to the flawed U.S. response to the coronavirus pandemic, it is this: The relatively high number of new cases being diagnosed daily — upward of 20,000 — will make it easier to test new vaccines.
To determine whether a vaccine prevents disease, the study's subjects need to be exposed to the pathogen as it circulates in the population. Reopening the economy will likely result in the faster spread of the coronavirus and therefore more opportunities to test a vaccine's efficacy in trial subjects.
Under a proposal under discussion by a committee set up by the National Institutes of Health, each of four or five experimental vaccines would be tested on about 20,000 trial participants with a placebo group of 10,000 for each vaccine. Some 50 U.S. medical centers — and perhaps an equal number overseas — would participate in these trials.
On Monday, Moderna, the biotech company, reported promising results in the first eight of 45 people enrolled in an initial test of the safety and immune responses to its vaccine. Analysts attributed a 900-point jump in the Dow that day at least partly to this very preliminary data, so eager are investors for any signs of progress in efforts to control the pandemic.
Moderna is running animal and human studies simultaneously and plans to invest hundreds of millions of dollars to build laboratories where the vaccine will be produced even before it's approved. The Food and Drug Administration on May 12 promised an accelerated review of Moderna's vaccine, which works by injecting pieces of synthetic viral RNA into the body to stimulate an immune response to the virus.
The speed in developing vaccines for widespread testing this summer is impressive, certainly compared with the nation's inadequate, delayed response to providing coronavirus testing and personal protective equipment to health care providers.
Still, many scientists have expressed skepticism at the breakneck timetable put forward by some Trump administration officials, who say that 100 million doses of a vaccine could be available by November. Even the normally sober Dr. Anthony Fauci, director of the National Institute of Allergy and Infectious Diseases, tolda Senate committee on May 12 that a vaccine could have proven safety and efficacy by then.
Running a trial of the size and speed contemplated by the NIH will be an immense undertaking. Just setting up trial locations and getting common consent and data-entry forms into shape usually take months. Enrolling 30,000 people for a single vaccine trial is a big challenge.
In addition, defining success in a vaccine against COVID-19 will be no simple matter. As scientists design vaccine trials, they first have to set the "endpoints" that determine success or failure. Death? Length of illness? Hospitalization? Number of days in which a subject is infectious?
If there is little virus circulating where a trial is being run, even a vast study won't prove anything. On the other hand, if a vaccine trial had started in early April in New York City, where roughly 10,000 cases a day were reported for weeks, 30,000 participants would have been plenty to show whether the vaccine protected against the disease.
In all likelihood, the big NIH trials will focus on rates of infection as well as clinical symptoms such as fever and cough. To discover whether the vaccine prevents severe disease, which is relatively rare, is harder. COVID-19, according to one account, kills about 0.6% of those it infects, while perhaps six times that many require hospitalization.
People who take part in a trial will be given clear instructions to protect themselves against infection through social distancing, face masks, frequent hand-washing and so on. That will lower the number of people infected during the study.
"You'd have to ask all the people enrolled in a trial to practice good hygiene," said Paul Offit, director of the Vaccine Education Center at Children's Hospital of Philadelphia. "You don't want them to get infected — but you do."
When Jonas Salk announced the successful trial of his polio vaccine in 1955, the nation celebrated a vaccine that could virtually eliminate a deadly infectious disease overnight. A new coronavirus vaccine may not provide that kind of overnight success. Instead, it may be more akin to the flu vaccine, which reduces the risk or severity of the illness but requires a new shot each year.
Vaccinating 20,000 people in a trial can reveal whether a vaccine is clearly dangerous to a general population. But when 200 million receive the same vaccine, less common side effects could still affect thousands. Botched batches of polio vaccines released after Salk's trial permanently paralyzed 200 people and killed 10. Early vaccines against measles caused tens of thousands of cases of grave illness in the 1960s.
Maurice Hilleman, the vaccine pioneer who developed successful vaccines against measles, mumps, hepatitis A and B and other diseases, once said he never breathed a sigh of relief "until the first 3 million doses" had been delivered.
Unexpected problems naturally bedevil quick rollouts, as this one will almost certainly be as the nation searches for a way to check a pandemic that is killing tens of thousands of Americans and paralyzing the economy. But as Gregory Poland, the leader of Mayo Clinic's vaccine research, told me, "There is an irresolvable tension of speed versus safety."
Allen is the San Francisco editor for California Healthline, produced by Kaiser Health News, and the author of "Vaccine: The Controversial Story of Medicine's Greatest Lifesaver."
To reopen businesses and public spaces safely, experts say, states need to be testing and contact tracing on a massive scale. But only a handful of states are doing enough testing to stay on top of potential outbreaks, according to a state-by-state analysis published by NPR.
Among those, Tennessee stands out for its aggressive approach to testing. In Tennessee, anyone who wants a test can get one, and the state will pick up the tab. The guidance has evolved to "when in doubt, get a test," and the state started paying for it in April.
It's still rare for a community to encourage such broad symptom-free testing.
"In most places, you still need to show you have the signs and symptoms of COVID-19 to get a test," research professor Sabrina Corlette of Georgetown University said. "It's really patchwork."
Ample testing, preferably including people who are not symptomatic, can help contain future outbreaks of COVID-19 by giving health officials the knowledge to act quickly to suppress any new cluster of cases.
Because of testing shortages, many states still have limitations on who can get a test. Some states, such as Alabama, are inviting people without symptoms to be tested, but only if they qualify as high-risk. A few counties in Nevada have started asymptomatic testing, and Rite Aid in a dozen states has opened up its walk-in testing, but it's still for people who preregister.
Tennessee's commitment to testing so broadly has helped it pull ahead of most other states in its rate of testing. According to NPR's analysis, Tennessee is doing more than double the minimum number of tests needed to control its outbreak.
Tennessee Department of Health Commissioner Lisa Piercey gave credit for much of the state's testing success to private, commercial labs.
"We've called on almost all of them to say, 'We need you to ramp up, because you're about to get a flood of tests,' and that's exactly what we've given them," Piercey said at a daily briefing in late April.
In one weekend, it was more than 11,000 tests.
But private labs are shouldering the testing load in most states. What's novel in Tennessee is that the state guaranteed payment to those companies upfront.
So, rather than making them bill various health insurance plans — which are required to cover coronavirus testing but still create paperwork — the state is picking up the tab. And the typical rate set by the federal government just doubled to $100 a swab.
Memphis-based American Esoteric Laboratories has been processing the bulk of the state-collected swabs. The company declined to comment for this story.
Nashville-based Aegis Sciences Corp. jumped in more recently and is already doubling its capacity to 7,000 tests a day. CEO Frank Basile said the guaranteed payment was a big motivator.
"Clearly, it's beneficial for the lab companies like us to receive the assurance of payment," Basile said. "That's definitely a positive. And it gives us the confidence to put the effort and the capital in to make this happen."
And coronavirus testing requires more investment right now because the swabs and chemicals necessary to do it are in such high demand.
The tax dollars are well spent, said Dr. Ashish Jha, faculty director of the Harvard Global Health Institute, which has been tracking testing capacity by state. He said Tennessee's investment could more than pay for itself since ample capacity is seen as a necessity to reopen businesses. Jha said he's been recommending this approach to government officials across the country.
"If the state says they'll just pay everybody 100 bucks every time you do a test, that strikes me as very smart policy," he said.
Tennessee officials said they're banking on being reimbursed by the federal government at some point.
The Tennessee Department of Health doesn't yet know exactly how much it's on the hook for. But the tab grows by millions of dollars a week. Aside from weekend drive-thru events, the state is also paying to process the weekday testing being done by local health departments in 95 counties.
On a recent Sunday, more than 800 people were tested at a site in Hendersonville. Christine Garner was willing to wait in her minivan as she slowly moved through the parking lot of a local high school. "I said, 'I know there will be a long line, but we'll just sit and wait.' We charged our tablets, and I'm doing sight words with the kids," she said.
Garner closes refinanced mortgages for a living, which puts her in close contact with multiple families a day — often in their homes. Still, she had no symptoms. And her closest contact to someone with COVID-19 was secondhand.
"I'm just hypersensitive to any change in my body at all. I think a lot of people are," she said.
All this testing access is generally a good thing, said Dr. Kelly Moore, a pandemic consultant, formerly of the state health department. She refers to the test takers as primarily "the worried well" since nearly 99% of them have tested negative at some testing events.
"If these highly motivated, worried well people coming out for free tests are not taking up scarce resources we need for someone else, then it's definitely not a problem to test them," Moore said.
But there's a potential downside. All those negative test results improve a state's closely watched positivity rate — that is the percentage of cases coming back positive. A low rate of positives is seen as a sign that a community is doing enough testing. But it's possible to miss pockets of infection among people who might not have the awareness or resources to get tested.
"We can't draw conclusions about what's going on in the whole community based on this self-selected group of people who are so motivated they come out to get tested," Moore said.
From March 8 to April 11, the number of organ donors who died in traffic collisions was down 23% nationwide, while donors who died in all other types of accidents were down 21%.
This article was first published on Tuesday, May 19, 2020 in Kaiser Health News.
On Day Two of the San Francisco Bay Area's stay-at-home orders in March, Nohemi Jimenez got into her car in San Pablo, California, waved goodbye to her 3-year-old son and drove to her regular Wednesday dialysis appointment.
The roads were deserted. No traffic. Jimenez, 30, said it is hard to admit what she thought next: No traffic meant no car accidents. And that meant she'd be on the waiting list for a kidney transplant even longer.
"I don't want to be mean, but I was like, 'Oh, my God. Nobody's going to die,'" she said. "I'm not going to get my transplant."
Jimenez was 20 and pregnant with her first child when doctors discovered she had been born with only one kidney, and that lone kidney was failing. By age 29, doctors told her she needed a new one. It was strange and scary, she said, waiting for someone to die so she could live.
"You're just thinking about it," she said. "It's sitting in your mind. It just can never leave you alone."
Deaths from accidents are the biggest source of organs for transplant, accounting for 33% of donations, according to the United Network for Organ Sharing, UNOS, which manages the nation's organ transplant system.
But since the coronavirus forced Californians indoors, accidents have declined. Traffic collisions and fatalities in the state dropped by half in the first three weeks of sheltering in place, according to a study by the University of California-Davis. Drowning deaths dropped 80% in California, according to data compiled by the nonprofit Stop Drowning Now.
In April organ procurement organizations typically see a surge in donations related to outdoor, spring break-related activities and travel, but not this year.
From March 8 to April 11, the number of organ donors who died in traffic collisions was down 23% nationwide compared with the same period last year, while donors who died in all other types of accidents were down 21%, according to data from UNOS.
"Spring break accidents are almost nonexistent because there's no spring break — beach accidents, motorcycle accidents, hunting accidents," said Janice Whaley, CEO of Donor Network West, which manages organ donations for Northern California and Nevada.
Doctors said they've also noticed a decline in emergency room visits overall, not just for accidents, and this may also be limiting the supply of donor organs.
"Where are all the people with heart attacks? Where are all the people with strokes?" said George Rutherford, a professor and infectious disease physician at the University of California-San Francisco. "Are those patients staying away from the ERs for fear of COVID? Clearly, the census is way down in ERs."
Strokes and heart attacks are the second and third most common sources of organ donations, accounting for 27% and 20% of organs, respectively, according to UNOS.
When people die from a stroke or heart attack at home instead of a hospital, their organs cannot be used for transplant because of lost blood flow. Most organ donations occur after a person suffers a near-fatal event and lifesaving measures do not work. For organs to be viable, people must die or be declared brain-dead while on a ventilator, so blood keeps pumping to the heart, lungs, liver and kidneys.
COVID Preparations Slow Transplant Pipeline
A range of other logistical complications have made transplants difficult during the coronavirus pandemic. Hospitals have had to scale back surgeries of all kinds to preserve scarce supplies of personal protective equipment and ventilators. And many haven't had the bandwidth to manage the delicate timing and complexity of organ donation, recovery, transportation and transplantation.
Transplant surgeries across the country plummeted 52% from March 8 to April 11, according to UNOS data.
"There's a lot of things that have to happen perfectly, and now we're in an imperfect situation where we're trying to deal with so many other things," Whaley said.
As medical centers braced for a wave of COVID-19 patients, they wanted to free up as many ventilators as possible. In addition to donors needing to die on ventilators to keep their organs viable, doctors often keep them on ventilators for two or three days while transplant teams and recipients are lined up. Then the recipients need to be on ventilators during surgery.
"People were very antsy about having non-COVID-19 patients on ventilators, taking up space," Whaley said. "They wanted to make sure they were ready for that next patient."
Many COVID patients who died offered their organs for donation, but those were declined out of concern that recipients could become infected, she said.
And a shortage of coronavirus testing supplies made it difficult for transplant centers to test potential donors who later died of other causes to make sure they were not infected with the virus.
"So there may have been some organ turndowns that we normally wouldn't have seen," said Dr. Chris Freise, a professor and transplant surgeon at UCSF.
As a matter of policy, hospitals canceled virtually all organ transplants from living donors, where a family member or someone else donates a kidney or section of their liver.
"That involves bringing two patients into the hospital — the donor and the recipient — and we certainly didn't want to put donors at any significant extra risk," Freise said. "Living-donor kidney transplant ground down to almost a complete halt in most programs across the country."
Some hospitals began doing living donations again in early May, while donations from deceased donors started to increase slowly in mid-April.
That's when Jimenez got her call from Freise's team at UCSF. A condition related to Jimenez's three pregnancies made finding a donor match for her very difficult, Freise said, "like a needle in a haystack." That also put her at the top of the waiting list in case a match was found.
Jimenez's phone rang at 2 a.m. on April 17. A transplant staffer told her to get to the hospital right away.
"I was excited," Jimenez said. "But then my mind hit me: Somebody died."
All she knows is that the donor was 19 and died in an accident in Los Angeles. Jimenez wrote a letter to the donor's family.
"I told them that I will forever be thinking of them," she said. "I will have him or her in my body for the rest of my life, and I will live for both of us."
Jimenez has six months of recovery ahead of her. She said she's looking forward to going back to work and having more energy to play with her kids.
This story is part of a reporting partnership that includes KQED, NPR and Kaiser Health News.