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Improving the Affordable Care Act Markets (Part 2)

By JONATHAN HALVORSON

In a previous post, I described how some features of the Affordable Care Act, despite the best intentions, have made it harder or even impossible for many plans to compete against dominant players in the individual and small employer markets. This has undermined aspects of the ACA designed to improve competition, like the insurance exchanges, and exacerbated a long term trend toward consolidation and reduced choice, and there is evidence it is resulting in higher costs. I focused on the ACA’s risk adjustment program and its impact on the small group market where the damage has been greatest.

The goal of risk adjustment is commendable: to create stability and fairness by removing the ability of plans to profit by “cherry picking” healthier enrollees, so that plans instead compete on innovative services, disease management, administrative efficiency, and customer support. But in the attempt to find stability, the playing field was tilted in favor of plans with long-tenured enrollment and sophisticated operations to identify all scorable health risks. The next generation of risk adjustment should truly even out the playing field by retaining the current program’s elimination of an incentive to avoid the sick, while also eliminating its bias towards incumbency and other unintended effects.

One important distinction concerns when to use risk adjustment to balance out differences that arise from consumer preferences. For example, high deductible plans tend to attract healthier enrollees, and without risk adjustment these plans would become even cheaper than they already are, while more comprehensive plans that attract sicker members would get disproportionately more expensive, setting off a race to the bottom that pushes more and more people into the plans that have the least benefits, while the sickest stay behind in more generous plans whose premium cost spirals upward. Using risk adjustment to counteract this effect has been widely beneficial in the individual market, along with other features like community rating and guaranteed issue.

However, in other cases where risk levels between plans differ due to consumer preferences it may not be helpful. For example, it has been documented that older and sicker members have a greater aversion to change (changing plans to something less familiar) and to constraints intended to lower cost even if they do not undermine benefit levels or quality of care, like narrow networks. These aversions tend to make newer plans and small network plans score as healthier. Risk adjustment would then force those plans to pay a penalty that in turn forces enrollees in the plans to pay for the preferences of others.

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$2 Trillion+ in New Taxes for Single Payer, or $50 Billion to Strengthen ObamaCare? Next Question, Please

By BOB HERTZ

It is not wise for Democrats to spend all their energy debating Single Payer health care solutions.

None of their single player  plans has much chance to pass in 2020, especially under the limited reconciliation process. In the words of Ezra Klein, “If Democrats don’t have a plan for the filibuster, they don’t really have a plan for ambitious health care reform.”

Yet while we debate Single Payer – or, even if it somehow passed, wait for it to be installed — millions of persons are still hurting under our current system.

We can help these people now!

Here are six practical programs to create a better ACA.

Taken all together they should not cost more than $50 billion a year. This is a tiny fraction of the new taxes that would be needed for full single payer. This is at least negotiable, especially if Democrats can take the White House and the Senate.

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Aussie Series: Health Tech Workforce

By JESSICA DAMASSA, WTF HEALTH

A few weeks ago, WTF Health took the show on the road to Australia’s digital health conference, HIC 2019. We captured more than 30 interviews (!) from the conference, which is run by the Health Informatics Society of Australia (hence the HISA Studio branding) and I had the opportunity to chat with most of the Australian Digital Health Agency’s leadership, many administrators from the country’s largest health systems, and a number of health informaticians, clinicians, and patients. I’ll be spotlighting a few of my favorites here in a four-part series to give you a flavor of what’s happening in health innovation ‘Down Under.’ For much more, check out all the videos on the playlist here

This is the final post in our series, and in it I’m sharing four interviews on the theme of the future of the health tech workforce. This was a huge topic of conversation at HIC19 — dominating the discussion more than at any other conference I’ve been to in the US or Europe — and what struck me was all the different ways Aussies are looking at ‘workforce preparedness.’ 

There’s Kerryn Butler-Henderson, Associate Professor for Digital Health at the University of Tasmania, who is leading a Health Information Workforce Census that will take place in 2020. She’ll be “counting” the health data analysts, healthcare informaticians, health information managers, clinical coders and health librarians (more on what that job does in the interview) in not only Australia, New Zealand, and Tasmania, but also the US, UK, Canada, and Middle East to give us a larger look at the demographics of this part of the industry. A surprising take-away from her previous work in this space? More than 70% of health information workers are over the age of 45, signaling a shortage that could come up pretty quickly if we don’t start doing a better job of recruiting for the field.

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Improving the Affordable Care Act Markets (Part 1)

By JONATHAN HALVORSON, PhD

With each passing year, the Affordable Care Act becomes further entrenched in the American health care system. There are dreams on both the far left and far right to repeal and replace it with something they see as better, but the reality is that the ACA is a remarkable achievement which will likely outlast the political lifetimes of those opposing it. Future improvements are more likely to tweak the ACA than to start over from scratch.

A critical part of making the ACA work is for it to support healthy, competitive and fair health insurance markets, since it relies on them to provide health care benefits and improve access to care. This is particularly true for insurance purchased by individuals and small employers, where the ACA’s mandates on benefits, premiums and market structure have the most impact. One policy affecting this dynamic that deserves closer attention is risk adjustment, which made real improvements in the fairness of these markets, but has come in for accusations that it has undermined competition.

Risk adjustment in the ACA works by compensating plans with sicker than average members using payments from plans with healthier members. The goal is to remove an insurer’s ability to gain an unfair advantage by simply enrolling healthier people (who cost less). Risk adjustment leads insurers to focus on managing their members’ health and appropriate services, rather than on avoiding the unhealthy. The program has succeeded enormously in bringing insurers to embrace enrolling and retaining those with serious health conditions.

This is something to celebrate, and we should not go back to the old days in which individuals or small groups would be turned down for health insurance or charged much higher prices because they had a history of health issues. However, the program has also had an undesired effect in many states: it further tilted the playing field in favor of market dominant incumbents.

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What’s on USMLE Step 1?

By BRYAN CARMODY

Recently, I was on The Accad and Koka Report to share my opinions on USMLE Step 1 scoring policy. (If you’re interested, you can listen to the episode on the show website or iTunes.)

Most of the topics we discussed were ones I’ve already dissected on this site. But there was an interesting moment in the show, right around the 37:30 mark, that raises an important point that is worthy of further analysis.

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ANISH: There’s also the fact that nobody is twisting the arms of program directors to use [USMLE Step 1] scores, correct? Even in an era when you had clinical grades reported, there’s still seems to be value that PDs attach to these scores. . . There’s no regulatory agency that’s forcing PDs to do that. So if PDs want to use, you know, a number on a test to determine who should best make up their class, why are you against that?

BRYAN: I’m not necessarily against that if you make that as a reasoned decision. I would challenge a few things about it, though. I guess the first question is, what do you think is on USMLE Step 1 that is meaningful?

ANISH: Well – um – yeah…

BRYAN: What do you think is on that test that makes it a meaningful metric?

ANISH: I – I don’t- I don’t think that – I don’t know that memorizing… I don’t even remember what was on the USMLE. Was the Krebs Cycle on the USMLE Step 1?

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I highlight this snippet not to pick on Anish – who was a gracious host, and despite our back-and-forth on Twitter, we actually agreed much more than we disagreed. And as a practicing clinician who is 15 years removed from the exam, I’m not surprised in the least that he doesn’t recall exactly what was on the test.

I highlight this exchange because it illuminates one of the central truths in the #USMLEPassFail debate, and that is this:

Physicians who took Step 1 more than 5 years ago honestly don’t have a clue about what is tested on the exam.

That’s not because the content has changed. It’s because the memories of minutiae fade over time, leaving behind the false memory of a test that was more useful than it really was.

I’m speaking from experience here.

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Health in 2 Point 00, Episode 98 | Connected Health, Pear Therapeutics & the Sutter Settlement

Today on Health in 2 Point 00, Jess and I are at Connected Health in Boston. On Episode 98, Jess asks me about Sandoz breaking up with Pear Therapeutics; Papa raising $10 million to send college students to keep seniors company (and I’m bitter); and the massive news of the Sutter settlement after they were sued for price fixing and monopoly behavior. Catch us at HLTH in Vegas in a couple of weeks, too. —Matthew Holt

Improving Medical AI Safety by Addressing Hidden Stratification

Jared Dunnmon
Luke Oakden-Rayner

By LUKE OAKDEN-RAYNER MD, JARED DUNNMON, PhD

Medical AI testing is unsafe, and that isn’t likely to change anytime soon.

No regulator is seriously considering implementing “pharmaceutical style” clinical trials for AI prior to marketing approval, and evidence strongly suggests that pre-clinical testing of medical AI systems is not enough to ensure that they are safe to use.  As discussed in a previous post, factors ranging from the laboratory effect to automation bias can contribute to substantial disconnects between pre-clinical performance of AI systems and downstream medical outcomes.  As a result, we urgently need mechanisms to detect and mitigate the dangers that under-tested medical AI systems may pose in the clinic.  

In a recent preprint co-authored with Jared Dunnmon from Chris Ré’s group at Stanford, we offer a new explanation for the discrepancy between pre-clinical testing and downstream outcomes: hidden stratification. Before explaining what this means, we want to set the scene by saying that this effect appears to be pervasive, underappreciated, and could lead to serious patient harm even in AI systems that have been approved by regulators.

But there is an upside here as well. Looking at the failures of pre-clinical testing through the lens of hidden stratification may offer us a way to make regulation more effective, without overturning the entire system and without dramatically increasing the compliance burden on developers.

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Are Neighbors the New Caregivers? | Matiu Bush, RMIT University & One Good Street

By JESSICA DAMASSA, WTF HEALTH

A few weeks ago, WTF Health took the show on the road to Australia’s digital health conference, HIC 2019. We captured more than 30 interviews (!) from the conference, which is run by the Health Informatics Society of Australia (hence the HISA Studio branding) and I had the opportunity to chat with most of the Australian Digital Health Agency’s leadership, many administrators from the country’s largest health systems, and a number of health informaticians, clinicians, and patients. I’ll be spotlighting a few of my favorites here in a four-part series to give you a flavor of what’s happening in health innovation ‘Down Under.’ For much more, check out all the videos on the playlist here.  

One of my favorite stories coming out of Australia is this one about One Good Street, an ad-hoc organization that is working to bring neighbors together to meet up with seniors to provide low-cost caregiving and combat loneliness. 

With a focus on connection and mitigating future hospitalization through neighborly acts of kindness, One Good Street offers neighbors the opportunity to help aging adults living on their block. 

Founder Matiu Bush explains how he started the platform, how it can save thousands of dollars in healthcare costs including unnecessary trips to the emergency room, and how he addresses concerns from the formal healthcare community who worry about “the risk” involved in neighbor-initiated care. 

Bonus! Matiu teaches us a new buzzword: “cybernetics” and talks about how he’s using that in a project with the Royal Melbourne Institute of Technology (RMIT) to build out models that detect loneliness and isolation in seniors.

Let Patients Lead – Explaining Addiction and Recovery to Families

By HANS DUVEFELT, MD

We knew that the most powerful way to provide substance abuse treatment is in a group setting. Group members can offer support to each other and call out each other’s self deceptions and public excuses, oftentimes more effectively than the clinicians. They share stories and insights, car rides and job leads, and they form a community that stays connected between sessions.

Participants with more experience and life skills may say things in group that we clinicians might hesitate saying, like “Now you’re whining” and “Time to put on your big boy pants”. They can become role models by being further along in their recovery and by at the same time revealing their own fear or respect for the threat of relapse.

What has also happened in our clinic, entirely unplanned, was that after an informational meeting where we explained the group model and had a national expert physician speak about opioid recovery, several parents raised their hand and said there should be a group for families, too.

We listened and within a few months we started such a group and now, a year and a half into it, the group is co-led by a few of our patients, who naturally had become leaders of the patient group earlier.

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Precision Medicine in Australia | Kathy Campbell, Health Informatics Society of Australia (HISA)

By JESSICA DAMASSA, WTF HEALTH

What’s happening in precision medicine in Australia? Kathy Campbell, Chair of the Health Informatics Society of Australia’s (HISA’s) Precision Medicine Community of Practice, explains HISA’s uniquely broad definition of precision medicine and gives us the scoop on how everything from consumer-directed genetic testing to social determinants of health data and pharmocogenomics are impacting precision medicine and personalized care.

Filmed in the HISA Studio at HIC 2019 in Melbourne, Australia, August 2019.

Jessica DaMassa is the host of the WTF Health show & stars in Health in 2 Point 00 with Matthew HoltGet a glimpse of the future of healthcare by meeting the people who are going to change it. Find more WTF Health interviews here or check out www.wtf.health.

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