The diabetic patient hit the danger zone.
Ideally, blood sugar, measured by an A1C test, rests at 5.9 or less. A 7 is elevated, according to the Diabetes Council. Over 10, and you're into the extreme danger zone, at risk of every diabetic crisis from kidney failure to blindness.
In three months of working with a case manager, Jen's blood sugar had dropped to 7.2, a much safer range.
This patient's A1C was 10. Let's call her Jen for the sake of this story. (Although the facts of her case are real, the patient's actual name wasn't released due to privacy laws.).
Jen happens to live in Pennsylvania's Lehigh Valley, home of the nonprofit Lehigh Valley Health Network, which has eight hospital campuses and various clinics and other services. This network has invested more than $1 billion in IT infrastructure and founded Populytics, a spin-off firm that tracks and analyzes patient data, and makes care suggestions based on that data.
When Jen left the doctor's office, the Populytics data machine started churning, analyzing her data compared to a wealth of information about future likely hospital visits if she did not comply with recommendations, as well as the potential positive impacts of outreach and early intervention.
About a month after Jen received the dangerous blood test results, a community outreach specialist with psychological training called her. She was on a list generated by Populytics of follow-up patients to contact.
"It's a very gentle conversation," says Cathryn Kelly, who manages a care coordination team at Populytics. "The case manager provides them understanding and support and coaching." The goal, in this case, was small behavioral changes that would actually stick, like dietary ones.
In three months of working with a case manager, Jen's blood sugar had dropped to 7.2, a much safer range. The odds of her cycling back to the hospital ER or veering into kidney failure, or worse, had dropped significantly.
While the health network is extremely localized to one area of one state, using data to inform precise medical decision-making appears to be the wave of the future, says Ann Mongovern, the associate director of Health Care Ethics at the Markkula Center for Applied Ethics at Santa Clara University in California.
"Many hospitals and hospital systems don't yet try to do this at all, which is striking given where we're at in terms of our general technical ability in this society," Mongovern says.
How It Happened
While many hospitals make money by filling beds, the Lehigh Valley Health Network, as a nonprofit, accepts many patients on Medicaid and other government insurances that don't cover some of the costs of a hospitalization. The area's population is both poorer and older than national averages, according to the U.S. Census data, meaning more people with higher medical needs that may not have the support to care for themselves. They end up in the ER, or worse, again and again.
In the early 2000s, LVHN CEO Dr. Brian Nester started wondering if his health network could develop a way to predict who is most likely to land themselves a pricey ICU stay -- and offer support before those people end up needing serious care.
Embracing data use in such specific ways also brings up issues of data security and patient safety.
"There was an early understanding, even if you go back to the (federal) balanced budget act of 1997, that we were just kicking the can down the road to having a functional financial model to deliver healthcare to everyone with a reasonable price," Nester says. "We've got a lot of people living longer without more of an investment in the healthcare trust."
Popultyics, founded in 2013, was the result of years of planning and agonizing over those population numbers and cost concerns.
"We looked at our own health plan," Nester says. Out of all the employees and dependants on the LVHN's own insurance network, "roughly 1.5 percent of our 25,000 people — under 400 people — drove $30 million of our $130 million on insurance costs -- about 25 percent."
"You don't have to boil the ocean to take cost out of the system," he says. "You just have to focus on that 1.5%."
Take Jen, the diabetic patient. High blood sugar can lead to kidney failure, which can mean weekly expensive dialysis for 20 years. Investing in the data and staff to reach patients, he says, is "pennies compared to $100 bills."
For most doctors, "there's no awareness for providers to know who they should be seeing vs. who they are seeing. There's no incentive, because the incentive is to see as many patients as you can," he says.
To change that, first the LVHN invested in the popular medical management system, Epic. Then, they negotiated with the top 18 insurance companies that cover patients in the region to allow access to their patient care data, which means they have reams of patient history to feed the analytics machine in order to make predictions about outcomes. Nester admits not every hospital could do that -- with 52 percent of the market share, LVHN had a very strong negotiating position.
Third party services take that data and churn out analytics that feeds models and care management plans. All identifying information is stripped from the data.
"We can do predictive modeling in patients," says Populytics President and CEO Gregory Kile. "We can identify care gaps. Those care gaps are noted as alerts when the patient presents at the office."
Kile uses himself as a hypothetical patient.
"I pull up Gregory Kile, and boom, I see a flag or an alert. I see he hasn't been in for his last blood test. There is a care gap there we need to complete."
"There's just so much more you can do with that information," he says, envisioning a future where follow-up for, say, knee replacement surgery and outcomes could be tracked, and either validated or changed.
Ethical Issues at the Forefront
Of course, embracing data use in such specific ways also brings up issues of security and patient safety. For example, says medical ethicist Mongovern, there are many touchpoints where breaches could occur. The public has a growing awareness of how data used to personalize their experiences, such as social media analytics, can also be monetized and sold in ways that benefit a company, but not the user. That's not to say data supporting medical decisions is a bad thing, she says, just one with potential for public distrust if not handled thoughtfully.
"You're going to need to do this to stay competitive," she says. "But there's obviously big challenges, not the least of which is patient trust."
So far, a majority of the patients targeted – 62 percent -- appear to embrace the effort.
Among the ways the LVHN uses the data is monthly reports they call registries, which include patients who have just come in contact with the health network, either through the hospital or a doctor that works with them. The community outreach team members at Populytics take the names from the list, pull their records, and start calling. So far, a majority of the patients targeted – 62 percent -- appear to embrace the effort.
Says Nester: "Most of these are vulnerable people who are thrilled to have someone care about them. So they engage, and when a person engages in their care, they take their insulin shots. It's not rocket science. The rocket science is in identifying who the people are — the delivery of care is easy."
On the morning of April 12, 1955, newsrooms across the United States inked headlines onto newsprint: the Salk Polio vaccine was "safe, effective, and potent." This was long-awaited news. Americans had limped through decades of fear, unaware of what caused polio or how to cure it, faced with the disease's terrifying, visible power to paralyze and kill, particularly children.
The announcement of the polio vaccine was celebrated with noisy jubilation: church bells rang, factory whistles sounded, people wept in the streets. Within weeks, mass inoculation began as the nation put its faith in a vaccine that would end polio.
Today, most of us are blissfully ignorant of child polio deaths, making it easier to believe that we have not personally benefited from the development of vaccines. According to Dr. Steven Pinker, cognitive psychologist and author of the bestselling book Enlightenment Now, we've become blasé to the gifts of science. "The default expectation is not that disease is part of life and science is a godsend, but that health is the default, and any disease is some outrage," he says.
The Rise and Fall of Public Trust<p>When the polio vaccine was released in 1955, "we were nearing an all-time high point in public trust," says Matt Baum, Harvard Kennedy School professor and lead author of <a href="http://www.kateto.net/covid19/COVID19%20CONSORTIUM%20REPORT%2013%20TRUST%20SEP%202020.pdf" target="_blank" rel="noopener noreferrer"><u>several</u></a> <a href="https://shorensteincenter.org/wp-content/uploads/2020/09/COVID19-CONSORTIUM-REPORT-14-MISINFO-SEP-2020.pdf" target="_blank" rel="noopener noreferrer"><u>reports</u></a> measuring public trust and vaccine confidence. Baum explains that the U.S. was experiencing a post-war boom following the Allied triumph in WWII, a popular Roosevelt presidency, and the rapid innovation that elevated the country to an international superpower.</p><p> The 1950s witnessed the emergence of nuclear technology, a space program, and unprecedented medical breakthroughs, adds Emily Brunson, Texas State University anthropologist and co-chair of the Working Group on Readying Populations for COVID-19 Vaccine. "Antibiotics were a game changer," she states. While before, people got sick with pneumonia for a month, suddenly they had access to pills that accelerated recovery. </p><p>During this period, science seemed to hold all the answers; people embraced the idea that we could "come to know the world with an absolute truth," Brunson explains. Doctors were portrayed as unquestioned gods, so Americans were primed to trust experts who told them the polio vaccine was safe. </p>
The Shift in How We Consume Information<p>In the 1950s, the media created an informational consensus. The fundamental ideas the public consumed about the state of the world were unified. "People argued about the best solutions, but didn't fundamentally disagree on the factual baseline," says Baum. Indeed, the messaging around the polio vaccine was centralized and consistent, led by President Roosevelt's successful <a href="https://files.eric.ed.gov/fulltext/EJ978264.pdf" target="_blank" rel="noopener noreferrer"><u>March of Dimes crusade</u></a>. People of lower socioeconomic status with limited access to this information were <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1551508/?page=3" target="_blank" rel="noopener noreferrer"><u>less likely to have confidence</u></a> in the vaccine, but most people consumed <a href="https://www.c-span.org/video/?506891-1/a-special-report-polio" target="_blank" rel="noopener noreferrer"><u>media that assured them</u></a> of the vaccine's safety and <a href="https://www.cbsnews.com/news/the-salk-polio-vaccine-greatest-public-health-experiment-in-history/" target="_blank" rel="noopener noreferrer"><u>mobilized them</u></a> to receive it. </p><p>Today, the information we consume is no longer centralized—in fact, just the opposite. "When you take that away, it's hard for people to know what to trust and what not to trust," Baum explains. We've witnessed an increase in polarization and the technology that makes it easier to give people what they want to hear, reinforcing the human tendencies to vilify the other side and reinforce our preexisting ideas. When information is engineered to further an agenda, each choice and risk calculation made while navigating the COVID-19 pandemic <a href="https://www.nytimes.com/2020/12/19/opinion/sunday/coronavirus-science.html?referringSource=articleShare" target="_blank" rel="noopener noreferrer"><u>is deeply politicized</u></a>. </p><p>This polarization maps onto a rise in socioeconomic inequality and economic uncertainty. These factors, associated with a sense of lost control, prime people to embrace misinformation, explains Baum, especially when the situation is difficult to comprehend. "The beauty of conspiratorial thinking is that it provides answers to all these questions," he says. Today's insidious fragmentation of news media accelerates the circulation of mis- and disinformation, reaching more people faster, regardless of veracity or motivation. In the case of vaccines, skepticism around their origin, safety, and motivation is intensified. </p><p>Alongside the rise in polarization, Pinker says "the emotional tone of the news has gone downward since the 1940s, and journalists consider it a professional responsibility to cover the negative." Relentless focus on everything that goes wrong further erodes public trust and paints a picture of the world getting worse. "Life saved is not a news story," says Pinker, but perhaps it should be, he continues. "If people were more aware of how much better life was generally, they might be more receptive to improvements that will continue to make life better. These improvements don't happen by themselves."</p>
The Future Depends on Vaccine Confidence<p>So far, the U.S. has been unable to mitigate the catastrophic effects of the pandemic through social distancing, testing, and contact tracing. President Trump has <a href="https://www.washingtonpost.com/politics/bob-woodward-rage-book-trump/2020/09/09/0368fe3c-efd2-11ea-b4bc-3a2098fc73d4_story.html" target="_blank" rel="noopener noreferrer"><u>downplayed the effects and threat of the virus</u></a>, <a href="https://www.washingtonpost.com/outlook/2020/07/14/cdc-directors-trump-politics/" target="_blank" rel="noopener noreferrer"><u>censored experts and scientists</u></a>, <a href="https://www.theatlantic.com/science/archive/2020/06/america-giving-up-on-pandemic/612796/" target="_blank" rel="noopener noreferrer"><u>given up on containing the spread</u></a>, and <a href="https://www.nytimes.com/2020/09/16/world/covid-coronavirus.html" target="_blank" rel="noopener noreferrer"><u>mobilized his base to protest masks</u></a>. The Trump Administration failed to devise a national plan, so our national plan has defaulted to hoping for the <a href="https://www.politico.com/news/2020/08/26/nation-of-miracles-pence-coronavirus-vaccine-rnc-402949" target="_blank" rel="noopener noreferrer"><u>"miracle" of a vaccine</u></a>. And they are "something of a miracle," Pinker says, describing vaccines as "the most benevolent invention in the history of our species." In record-breaking time, three vaccines have arrived. But their impact will be weakened unless we achieve mass vaccination. As Brunson notes, "The technology isn't the fix; it's people taking the technology."</p><p> Significant challenges remain, including facilitating widespread access and supporting on-the-ground efforts to allay concerns and build trust with <a href="https://www.newyorker.com/news/daily-comment/african-american-resistance-to-the-covid-19-vaccine-reflects-a-broader-problem" target="_blank" rel="noopener noreferrer"><u>specific populations with historic reasons for distrust</u></a>, says Brunson. Baum predicts continuing delays as well as deaths from other causes that will be linked to the vaccine. </p><p> Still, there's every reason for hope. The new administration "has its eyes wide open to these challenges. These are the kind of problems that are amenable to policy solutions if we have the will," Baum says. He forecasts widespread vaccination by late summer and a bounce back from the economic damage, a "Good News Story" that will bolster vaccine acceptance in the future. And Pinker reminds us that science, medicine, and public health have greatly extended our lives in the last few decades, a trend that can only continue if we're willing to roll up our sleeves. </p>
Imagine this scenario: you get an annoying cough and a bit of a fever. When you wake up the next morning you lose your sense of taste and smell. That sounds familiar, so you head to a doctor's office for a Covid test, which comes back positive.
Your next step? An anti-Covid nasal spray of course, a "trickster drug" that will clear the once-dangerous and deadly virus out of the body. The drug works by tricking the coronavirus with decoy receptors that appear to be just like those on the surface of our own cells. The virus latches onto the drug's molecules "thinking" it is breaking into human cells, but instead it flushes out of your system before it can cause any serious damage.
This may sounds like science fiction, but several research groups are already working on such trickster coronavirus drugs, with some candidates close to clinical trials and possibly even becoming available late this year. The teams began working on them when the pandemic arrived, and continued in lockdown.
Biochemist David Baker, pictured in his lab at the University of Washington.