As More People Crowdfund Medical Bills, Beware of Dubious Campaigns
Nearly a decade ago, Jamie Anderson hit his highest weight ever: 618 pounds. Depression drove him to eat and eat. He tried all kinds of diets, losing and regaining weight again and again. Then, four years ago, a friend nudged him to join a gym, and with a trainer's guidance, he embarked on a life-altering path.
Ethicists become particularly alarmed when medical crowdfunding appeals are for scientifically unfounded and potentially harmful interventions.
"The big catalyst for all of this is, I was diagnosed as a diabetic," says Anderson, a 46-year-old sales associate in the auto care department at Walmart. Within three years, he was down to 276 pounds but left with excess skin, which sagged from his belly to his mid-thighs.
Plastic surgery would cost $4,000 more than the sum his health insurance approved. That's when Anderson, who lives in Cabot, Arkansas, a suburb outside of Little Rock, turned to online crowdfunding to raise money. In a few months last year, current and former co-workers and friends of friends came up with that amount, covering the remaining expenses for the tummy tuck and overnight hospital stay.
The crowdfunding site that he used, CoFund Health, aimed to give his donors some peace of mind about where their money was going. Unlike GoFundMe and other platforms that don't restrict how donations are spent, Anderson's funds were loaded on a debit card that only worked at health care providers, so the donors "were assured that it was for medical bills only," he says.
CoFund Health was started in January 2019 in response to concerns about the legitimacy of many medical crowdfunding campaigns. As crowdfunding for health-related expenses has gained more traction on social media sites, with countless campaigns seeking to subsidize the high costs of care, it has given rise to some questionable transactions and legitimate ethical concerns.
Common examples of alleged fraud have involved misusing the donations for nonmedical purposes, feigning or embellishing the story of one's own unfortunate plight or that of another person, or impersonating someone else with an illness. Ethicists become particularly alarmed when medical crowdfunding appeals are for scientifically unfounded and potentially harmful interventions.
About 20 percent of American adults reported giving to a crowdfunding campaign for medical bills or treatments, according to a survey by AmeriSpeak Spotlight on Health from NORC, formerly called the National Opinion Research Center, a non-partisan research institution at the University of Chicago. The self-funded poll, conducted in November 2019, included 1,020 interviews with a representative sample of U.S. households. Researchers cited a 2019 City University of New York-Harvard study, which noted that medical bills are the most common basis for declaring personal bankruptcy.
Some experts contend that crowdfunding platforms should serve as gatekeepers in prohibiting campaigns for unproven treatments. Facing a dire diagnosis, individuals may go out on a limb to try anything and everything to prolong and improve the quality of their lives.
They may enroll in well-designed clinical trials, or they could fall prey "to snake oil being sold by people out there just making a buck," says Jeremy Snyder, a health sciences professor at Simon Fraser University in British Columbia, Canada, and the lead author of a December 2019 article in The Hastings Report about crowdfunding for dubious treatments.
For instance, crowdfunding campaigns have sought donations for homeopathic healing for cancer, unapproved stem cell therapy for central nervous system injury, and extended antibiotic use for chronic Lyme disease, according to an October 2018 report in the Journal of the American Medical Association.
Ford Vox, the lead author and an Atlanta-based physician specializing in brain injury, maintains that a repository should exist to monitor the outcomes of experimental treatments. "At the very least, there ought to be some tracking of what happens to the people the funds are being raised for," he says. "It would be great for an independent organization to do so."
"Even if it appears like a good cause, consumers should still do some research before donating to a crowdfunding campaign."
The Federal Trade Commission, the national consumer watchdog, cautions online that "it might be impossible for you to know if the cause is real and if the money actually gets to the intended recipient." Another caveat: Donors can't deduct contributions to individuals on tax returns.
"Even if it appears like a good cause, consumers should still do some research before donating to a crowdfunding campaign," says Malini Mithal, associate director of financial practices at the FTC. "Don't assume all medical treatments are tested and safe."
Before making any donation, it would be wise to check whether a crowdfunding site offers some sort of guarantee if a campaign ends up being fraudulent, says Kristin Judge, chief executive and founder of the Cybercrime Support Network, a Michigan-based nonprofit that serves victims before, during, and after an incident. They should know how the campaign organizer is related to the intended recipient and note whether any direct family members and friends have given funds and left supportive comments.
Donating to vetted charities offers more assurance than crowdfunding that the money will be channeled toward helping someone in need, says Daniel Billingsley, vice president of external affairs for the Oklahoma Center of Nonprofits. "Otherwise, you could be putting money into all sorts of scams." There is "zero accountability" for the crowdfunding site or the recipient to provide proof that the dollars were indeed funneled into health-related expenses.
Even if donors may have limited recourse against scammers, the "platforms have an ethical obligation to protect the people using their site from fraud," says Bryanna Moore, a postdoctoral fellow at Baylor College of Medicine's Center for Medical Ethics and Health Policy. "It's easy to take advantage of people who want to be charitable."
There are "different layers of deception" on a broad spectrum of fraud, ranging from "outright lying for a self-serving reason" to publicizing an imaginary illness to collect money genuinely needed for basic living expenses. With medical campaigns being a top category among crowdfunding appeals, it's "a lot of money that's exchanging hands," Moore says.
The advent of crowdfunding "reveals and, in some ways, reinforces a health care system that is totally broken," says Jessica Pierce, a faculty affiliate in the Center for Bioethics and Humanities at the University of Colorado Anschutz Medical Campus in Denver. "The fact that people have to scrounge for money to get life-saving treatment is unethical."
Crowdfunding also highlights socioeconomic and racial disparities by giving an unfair advantage to those who are social-media savvy and capable of crafting a compelling narrative that attracts donors. Privacy issues enter into the picture as well, because telling that narrative entails revealing personal details, Pierce says, particularly when it comes to children, "who may not be able to consent at a really informed level."
CoFund Health, the crowdfunding site on which Anderson raised the money for his plastic surgery, offers to help people write their campaigns and copy edit for proper language, says Matthew Martin, co-founder and chief executive officer. Like other crowdfunding sites, it retains a few percent of the donations for each campaign. Martin is the husband of Anderson's acquaintance from high school.
So far, the site, which is based in Raleigh, North Carolina, has hosted about 600 crowdfunding campaigns, some completed and some still in progress. Campaigns have raised as little as $300 to cover immediate dental expenses and as much as $12,000 for cancer treatments, Martin says, but most have set a goal between $5,000 and $10,000.
Whether or not someone's campaign is based on fact or fiction remains for prospective donors to decide.
The services could be cosmetic—for example, a breast enhancement or reduction, laser procedures for the eyes or skin, and chiropractic care. A number of campaigns have sought funding for transgender surgeries, which many insurers consider optional, he says.
In July 2019, a second site was hatched out of pet owners' requests for assistance with their dogs' and cats' medical expenses. Money raised on CoFund My Pet can only be used at veterinary clinics. Martin says the debit card would be declined at other merchants, just as its CoFund Health counterpart for humans will be rejected at places other than health care facilities, dental and vision providers, and pharmacies.
Whether or not someone's campaign is based on fact or fiction remains for prospective donors to decide. If a donor were to regret a transaction, he says the site would reach out to the campaign's owner but ultimately couldn't force a refund, Martin explains, because "it's hard to chase down fraud without having access to people's health records."
In some crowdfunding campaigns, the individual needs some or all the donated resources to pay for travel and lodging at faraway destinations to receive care, says Snyder, the health sciences professor and crowdfunding report author. He suggests people only give to recipients they know personally.
"That may change the calculus a little bit," tipping the decision in favor of donating, he says. As long as the treatment isn't harmful, the funds are a small gesture of support. "There's some value in that for preserving hope or just showing them that you care."
Two years, six million deaths and still counting, scientists are searching for answers to prevent another COVID-19-like tragedy from ever occurring again. And it’s a gargantuan task.
Our disturbed ecosystems are creating more favorable conditions for the spread of infectious disease. Global warming, deforestation, rising sea levels and flooding have contributed to a rise in mosquito-borne infections and longer tick seasons. Disease-carrying animals are in closer range to other species and humans as they migrate to escape the heat. Bats are thought to have carried the SARS-CoV-2 virus to Wuhan, either directly or through another host animal, but thousands of novel viruses are lurking within other wild creatures.
Understanding how climate change contributes to the spread of disease is critical in predicting and thwarting future calamities. But the problem is that predictive models aren’t yet where they need to be for forecasting with certainty beyond the next year, as we could for weather, for instance.
The association between climate and infectious disease is poorly understood, says Irina Tezaur, a computational scientist at Sandia National Laboratories. “Correlations have been observed but it’s not known if these correlations translate to causal relationships.”
To make accurate longer-term predictions, scientists need more empirical data, multiple datasets specific to locations and diseases, and the ability to calculate risks that depend on unpredictable nature and human behavior. Another obstacle is that climate scientists and epidemiologists are not collaborating effectively, so some researchers are calling for a multidisciplinary approach, a new field called Outbreak Science.
Climate scientists are far ahead of epidemiologists in gathering essential data.
Earth System Models—combining the interactions of atmosphere, ocean, land, ice and biosphere—have been in place for two decades to monitor the effects of global climate change. These models must be combined with epidemiological and human model research, areas that are easily skewed by unpredictable elements, from extreme weather events to public environmental policy shifts.
“There is never just one driver in tracking the impact of climate on infectious disease,” says Joacim Rocklöv, a professor at the Heidelberg Institute of Global Health & Heidelberg Interdisciplinary Centre for Scientific Computing in Germany. Rocklöv has studied how climate affects vector-borne diseases—those transmitted to humans by mosquitoes, ticks or fleas. “You need to disentangle the variables to find out how much difference climate makes to the outcome and how much is other factors.” Determinants from deforestation to population density to lack of healthcare access influence the spread of disease.
Even though climate change is not the primary driver of infectious disease today, it poses a major threat to public health in the future, says Rocklöv.
The promise of predictive modeling
“Models are simplifications of a system we’re trying to understand,” says Jeremy Hess, who directs the Center for Health and the Global Environment at University of Washington in Seattle. “They’re tools for learning that improve over time with new observations.”
Accurate predictions depend on high-quality, long-term observational data but models must start with assumptions. “It’s not possible to apply an evidence-based approach for the next 40 years,” says Rocklöv. “Using models to experiment and learn is the only way to figure out what climate means for infectious disease. We collect data and analyze what already happened. What we do today will not make a difference for several decades.”
To improve accuracy, scientists develop and draw on thousands of models to cover as many scenarios as possible. One model may capture the dynamics of disease transmission while another focuses on immunity data or ocean influences or seasonal components of a virus. Further, each model needs to be disease-specific and often location-specific to be useful.
“All models have biases so it’s important to use a suite of models,” Tezaur stresses.
The modeling scientist chooses the drivers of change and parameters based on the question explored. The drivers could be increased precipitation, poverty or mosquito prevalence, for instance. Later, the scientist may need to isolate the effect of one driver so that will require another model.
There have been some related successes, such as the latest models for mosquito-borne diseases like Dengue, Zika and malaria as well as those for flu and tick-borne diseases, says Hess.
Rocklöv was part of a research team that used test data from 2018 and 2019 to identify regions at risk for West Nile virus outbreaks. Using AI, scientists were able to forecast outbreaks of the virus for the entire transmission season in Europe. “In the end, we want data-driven models; that’s what AI can accomplish,” says Rocklöv. Other researchers are making an important headway in creating a framework to predict novel host–parasite interactions.
Modeling studies can run months, years or decades. “The scientist is working with layers of data. The challenge is how to transform and couple different models together on a planetary scale,” says Jeanne Fair, a scientist at Los Alamos National Laboratory, Biosecurity and Public Health, in New Mexico.
Disease forecasting will require a significant investment into the infrastructure needed to collect data about the environment, vectors, and hosts a tall spatial and temporal resolutions.
And it’s a constantly changing picture. A modeling study in an April 2022 issue of Nature predicted that thousands of animals will migrate to cooler locales as temperatures rise. This means that various species will come into closer contact with people and other mammals for the first time. This is likely to increase the risk of emerging infectious disease transmitted from animals to humans, especially in Africa and Asia.
Other things can happen too. Global warming could precipitate viral mutations or new infectious diseases that don’t respond to antimicrobial treatments. Insecticide-resistant mosquitoes could evolve. Weather-related food insecurity could increase malnutrition and weaken people’s immune systems. And the impact of an epidemic will be worse if it co-occurs during a heatwave, flood, or drought, says Hess.
The devil is in the climate variables
Solid predictions about the future of climate and disease are not possible with so many uncertainties. Difficult-to-measure drivers must be added to the empirical model mix, such as land and water use, ecosystem changes or the public’s willingness to accept a vaccine or practice social distancing. Nor is there any precedent for calculating the effect of climate changes that are accelerating at a faster speed than ever before.
The most critical climate variables thought to influence disease spread are temperature, precipitation, humidity, sunshine and wind, according to Tezaur’s research. And then there are variables within variables. Influenza scientists, for example, found that warm winters were predictors of the most severe flu seasons in the following year.
The human factor may be the most challenging determinant. To what degree will people curtail greenhouse gas emissions, if at all? The swift development of effective COVID-19 vaccines was a game-changer, but will scientists be able to repeat it during the next pandemic? Plus, no model could predict the amount of internet-fueled COVID-19 misinformation, Fair noted. To tackle this issue, infectious disease teams are looking to include more sociologists and political scientists in their modeling.
Addressing the gaps
Currently, researchers are focusing on the near future, predicting for next year, says Fair. “When it comes to long-term, that’s where we have the most work to do.” While scientists cannot foresee how political influences and misinformation spread will affect models, they are positioned to make headway in collecting and assessing new data streams that have never been merged.
Disease forecasting will require a significant investment into the infrastructure needed to collect data about the environment, vectors, and hosts at all spatial and temporal resolutions, Fair and her co-authors stated in their recent study. For example real-time data on mosquito prevalence and diversity in various settings and times is limited or non-existent. Fair also would like to see standards set in mosquito data collection in every country. “Standardizing across the US would be a huge accomplishment,” she says.
Understanding how climate change contributes to the spread of disease is critical for thwarting future calamities.
Jeanne Fair
Hess points to a dearth of data in local and regional datasets about how extreme weather events play out in different geographic locations. His research indicates that Africa and the Middle East experienced substantial climate shifts, for example, but are unrepresented in the evidentiary database, which limits conclusions. “A model for dengue may be good in Singapore but not necessarily in Port-au-Prince,” Hess explains. And, he adds, scientists need a way of evaluating models for how effective they are.
The hope, Rocklöv says, is that in the future we will have data-driven models rather than theoretical ones. In turn, sharper statistical analyses can inform resource allocation and intervention strategies to prevent outbreaks.
Most of all, experts emphasize that epidemiologists and climate scientists must stop working in silos. If scientists can successfully merge epidemiological data with climatic, biological, environmental, ecological and demographic data, they will make better predictions about complex disease patterns. Modeling “cross talk” and among disciplines and, in some cases, refusal to release data between countries is hindering discovery and advances.
It’s time for bold transdisciplinary action, says Hess. He points to initiatives that need funding in disease surveillance and control; developing and testing interventions; community education and social mobilization; decision-support analytics to predict when and where infections will emerge; advanced methodologies to improve modeling; training scientists in data management and integrated surveillance.
Establishing a new field of Outbreak Science to coordinate collaboration would accelerate progress. Investment in decision-support modeling tools for public health teams, policy makers, and other long-term planning stakeholders is imperative, too. We need to invest in programs that encourage people from climate modeling and epidemiology to work together in a cohesive fashion, says Tezaur. Joining forces is the only way to solve the formidable challenges ahead.
This article originally appeared in One Health/One Planet, a single-issue magazine that explores how climate change and other environmental shifts are increasing vulnerabilities to infectious diseases by land and by sea. The magazine probes how scientists are making progress with leaders in other fields toward solutions that embrace diverse perspectives and the interconnectedness of all lifeforms and the planet.
Scientists use AI to predict how hospital stays will go
The Friday Five covers five stories in research that you may have missed this week. There are plenty of controversies and troubling ethical issues in science – and we get into many of them in our online magazine – but this news roundup focuses on scientific creativity and progress to give you a therapeutic dose of inspiration headed into the weekend.
Here are the promising studies covered in this week's Friday Five:
- The problem with bedtime munching
- Scientists use AI to predict how stays in hospitals will go
- How to armor the shields of our livers against cancer
- One big step to save the world: turn one kind of plastic into another
- The perfect recipe for tiny brains
And an honorable mention this week: Bigger is better when it comes to super neurons in super agers