I’m going to show you the Match rate and mean Step 1 score for three groups of residency applicants. These are real data, compiled from the National Resident Matching Program’s (NRMP) Charting Outcomes in the Match reports.
U.S. Allopathic Seniors: 92% match rate; Step 1 232.3
U.S. Osteopathic Seniors: 83% match rate; Step 1 225.8
International Medical Graduates, or IMGs (both U.S. and non-U.S. citizen: 53% match rate; Step 1 223.6
Now. What do you conclude when you look at these numbers?
In the debate over the U.S. Medical Licensing Examination’s (USMLE) score reporting policy, there’s one objection that comes up time and time again: that graduates from less-prestigious medical schools (especially IMGs) need a scored USMLE Step 1 to compete in the match with applicants from “top tier” medical schools.
In fact, this concern was recently expressed by the president of the National Board of Medical Examiners (NBME) in an article inAcademic Medicine (quoted here, with my emphasis added).
“Students and U.S. medical graduates (USMGs) from elite medical schools may feel that their school’s reputation assures their successful competition in the residency application process, and thus may perceive no benefit from USMLE scores. However, USMGs from the newest medical schools or schools that do not rank highly across various indices may feel that they cannot rely upon their school’s reputation, and have expressed concern in various settings that they could be disadvantaged if forced to compete without a quantitative Step 1 score. This concern may apply even more for graduates of international medical schools (IMGs) that are lesser known, regardless of any quality indicator.”
The funny thing is, when I look at the data above, I’m not sure why we would conclude that IMGs are gaining advantage from a scored Step 1. In fact, we might conclude just the opposite – that a scored Step 1 is a key reason why IMGs have a lower match rate.
A class action legal ruling this month, on a case originally filed in 2014, found that UnitedHealthCare’s (UHC) mental health subsidiary, United Behavioral Health (UBH), established internal policies that discriminated against patients with behavioral health or substance abuse conditions. While an appeal is expected, patients with legitimate claims were systematically denied coverage, and employer/union purchasers who had paid for coverage for their employees and their family members received diminished or no value for their investments.
Central to the plaintiff’s argument was the fact that UBH developed its own clinical guidelines and ignored generally accepted standards of care. In the 106 page ruling, Judge Joseph C. Spero of the US District Court in Northern California wrote, “In every version of the Guidelines in the class period, and at every level of care that is at issue in this case, there is an excessive emphasis on addressing acute symptoms and stabilizing crises while ignoring the effective treatment of members’ underlying conditions.” He concluded that the emphasis was “pervasive and result[ed] in a significantly narrower scope of coverage than is consistent with generally accepted standards of care.” Judge Spero found that UBH’s cost-cutting focus “tainted the process, causing UBH to make decisions about Guidelines based as much or more on its own bottom line as on the interests of the plan members, to whom it owes a fiduciary duty.”
In a statement to FierceHealthcare, UnitedHealth said it “looks forward to demonstrating in the next phase of this case how our members received appropriate care…We remain committed to providing our members with access to the right care for the treatment of mental health conditions and substance use disorders.”
It is important to be clear about what transpired here. Based on evidence, a subsidiary of UnitedHealthCare, America’s second-largest health care firm, has been found in a court of law to have intentionally denied the coverage of thousands of patients filing claims. The organization justified the restrictions in coverage using internal guidelines tilted to favor financial performance rather than accepted standards of care. In other words, UBH’s leaders (as well as those at UHC) knowingly defrauded their customers and devised a mechanism to rationalize their scheme. In his ruling, Judge Spero described testimony by UHC representatives as “evasive — and even deceptive.”
Health coaches are playing an ever-more important role in healthcare,
but there’s no one single authority when it comes to finding one — or vetting
them for that matter — until now.
Marina Borukhovich, CEO of startup YourCoach, talks about how she hopes to disrupt health coaching after she learned the value of having a ‘squad’ of experts help her through her breast cancer journey.
In fact, ‘Squads’ are the value-add that YourCoach is hoping will set
them apart. The app’s signature feature is that it lets you build-your-own team
of experts who can work together to tackle any aspect of health and wellness.
“We’re connecting coaches from around the world
who are going to lead the client holistically,” explains Marina. “So, it could be
diabetes support, it could be pull[ing] somebody in who does meditation, they
could bring in a business coach. It just really depends on the person…and what you
need as a person.”
“We’re building ‘Team YOU.”
Joining in on the fun in this interview is Eugene Borukhovich, who some
of you will recognize as the face of Bayer’s G4A program.
Eugene serves as an advisor to YourCoach and is also Marina’s husband —
possibly making them the “Beyonce & Jay-Z” power couple of
digital health. Is this a blessing or a curse? Apparently, there are 3am pitch
practices that sound like the solid foundation of any marriage.
Listen in to meet them both.
Filmed at JP Morgan Healthcare Conference, January 2019.
Jeanette Brown had lost twenty pounds, and she was worried.
“I’m not trying,” she told me at her regular diabetes visit as I pored over her lab results. What I saw sent a chill down my spine:
A normal weight, diet controlled diabetic for many years, her glycosylated hemoglobin had jumped from 6.9 to 9.3 in three months while losing that much weight.
That is exactly what happened to my mother some years ago, before she was diagnosed with the pancreatic cancer that took her life in less than two years.
Jeanette had a normal physical exam and all her bloodwork except for the sugar numbers was fine. Her review of systems was quite unremarkable as well, maybe a little fatigue.
“When people lose this much weight without trying, we usually do tests to rule out cancer, even if there’s no specific symptom to suggest that,” I explained. “In your case, being a former smoker, we need to check your lungs with a CT scan, and because of your Hepatitis C, even though your liver ultrasounds have been normal, we need a CT of your abdomen.”
How can understanding the underlying social risks impacting patient populations improve health outcomes AND save health plans some serious per-member-per-month costs? You’re probably familiar with the concept of ‘Social Determinants of Health’ (SDOH) but Dr. Trenor Williams and his team at health startup Socially Determined are building a business around it.
By looking at data around what Trenor calls ‘the Significant 7’ social determinants (social isolation, food insecurity, housing, transportation, health literacy, and crime & violence) he and his team are working to help health plans intervene with their most vulnerable populations and bring down costs.
What kind of data is Socially Determined looking at? Everything from publicly available data on housing prices and air quality, to commercial datasets on buying preferences and more. Plus, with help from their health plan partners, they’re using clinical and claims data to create a complete picture of health care spend, utilization, and outcomes.
Trenor walks through some very specific examples in this interview to help illustrate his point. In one, Socially Determined was able to identify how Medicaid could better help asthmatics manage their asthma AND save a thousand dollars per affected member each month. Another project in Ohio identified that a mother with a history of housing eviction was 40% more likely to give birth to a baby requiring NICU care – opening up myriad opportunities for early intervention and the potential to positively impact the lifetime health of both mother and child.
As healthcare continues to realize its ‘data play’ – and look beyond the typical data sets available to healthcare companies – the opportunities for real and meaningful impact are tremendous. Listen in to hear more about what Trenor sees as the new opportunity for Social Determinants of Health.
Filmed at AHIP’s Consumer Experience & Digital Health Forum in December 2018.
Get 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.
The Office of the National Coordinator (ONC) and the Centers for Medicare and Medicaid (CMS) have published proposed final rules on interoperability and data blocking as part of implementing the 21st Century Cures act. In this series we will explore the ideas behind the rules, why they are necessary and the expected impact. Given that these are complex, controversial topics, and open to interpretation, we invite readers to respond with their own ideas, corrections, and opinions.
Health IT 1.0, the basic digitalization of health care, succeeded in getting health care to stop using pens and start using keyboards. Now, Health IT 2.0 is emerging and will build on this foundation by providing better, more diverse applications. Health care is following the example set by the rest of the modern digital economy and starting to leverage existing monolithic applications like electronic health records (EHRs) to create platforms that support a robust application ecosystem. Think “App Store” for healthcare and you can see where we are headed.
This is why interoperability and data blocking are two of the biggest issues in health IT today. Interoperability – the ability of applications to connect to the health IT ecosystem, exchange data and collaborate – is a key driver of the pace and breadth of innovation. Free flowing, rich clinical data sets are essential to building powerful, user-friendly applications. Making it easy to install or switch applications reduces the cost of deployment and fosters healthy competition. Conversely, when data exchange is restricted (data blocking) or integration is difficult, innovation is stifled.
Given the importance of health IT in enabling the larger transformation of our health system, the stakes could hardly be higher. Congress recognized this when it passed the 21st Century Cures Act in 2016. Title IV of the act contains specific provisions designed to “advance interoperability and support the access, exchange, and use of electronic health information; and address occurrences of information blocking”. In February 2019, ONC and CMS simultaneously published proposed rules to implement these provisions.
I once made a serious error. The patient had taken an overdose of paracetamol, but because I was single-handedly covering three inpatient acute psychiatric wards due to sickness of two other trainees which medical HR had been unable to cover, with a lot of agency nurses who did not know any of the patients well at all, and also because this patient frequently said she had taken overdoses when she had not, and declined to let me take bloods to test for paracetamol levels, I believed she was crying wolf. She collapsed several hours later, and died. I was overwhelmed with feelings of guilt, inadequacy, but also fear – was this the end of my career? I was a trainee psychiatrist at the time – and was immensely fortunate in that my supervising consultant was robust in his defence of me, supported me, whilst fronting the complaint from the patient’s family and attending the inquest. He had been covering two outpatient clinics himself while I was on the ward.
The patient was only 26 years old. Her parents were very angry with me, and not unreasonably so; at the time, it seemed to me that they wanted me to suffer. Twenty years later, I believe they wanted to understand how I made the decision I did. Eventually, the consultant arranged for me to meet the parents. They were very kind to me, all of them, I realise that now. I wasn’t able to give them the answers they wanted. I just cried and said I was sorry.
The mother sent the consultant a letter afterwards which he gave me when I was about to complete that training placement. I did not read it for many months. When I did, I cried. The mother described her daughter’s childhood, the family’s loss, and her own incomprehension that the NHS – which she and generations of her family had venerated as a great institution – could have failed her child. It said very little about me, certainly didn’t seek to blame me, but said a few times that she wanted justice for her daughter. It was an exploration of grief by a bereft mother.
I often think about the mother – I cannot recall the face of the 26 year old patient – but remember perfectly well the mother, who said very little, didn’t even cry, leaving her husband to talk incoherently about justice and a referral to the GMC and the police (they did not do any of these things). And I often ponder the nature of justice they wanted. This was well before the advent of Duty of Candour and rigorously completed serious incident investigations.
Did they get justice? The coroner returned a verdict of suicide, but failed to acknowledge the systemic problems of lack of staff, merely noting that there had a “gap in clinical assessment”. It was not untrue, yet I experienced it as unfair. The consultant reminded me that I was fortunate that the family had not made more fuss. So I let it be. Until the case of Dr Bawa-Garba.
In this episode of Radiology Firing Line Podcast, Danny Huges and I discuss a JAMA paper: A comparison of diagnostic imaging ordering patterns between advanced practice clinicians and primary care physicians following office-based evaluation and management visits.
Listen to our conversation on Radiology Firing Line here.
Saurabh Jha is a contributing editor to THCB and host of Radiology Firing Line Podcast of the Journal of American College of Radiology, sponsored by Healthcare Administrative Partner
Imagine solving wicked problems of patient matching, consent, and a patient-centered longitudinal health record while also enabling a world of new healthcare services for patients and physicians to use. The long-awaited Notice of Proposed Rulemaking (NPRM) on information blocking from the Office of the National Coordinator for Health Information Technology (ONC) promises nothing less.
Having data automatically follow the patient is a laudable goal but difficult for reasons of privacy, security, and institutional workflow. The privacy issues are clear if you use surveillance as the mechanism to follow the patient. Do patients know they’re under surveillance? By whom? Is there one surveillance agency or are there dozens in real-world practice? Can a patient choose who does the surveillance and which health encounters, including behavioral health, social relationships, location, and finance are excluded from the surveillance?
The security issues are pretty obvious if one uses the National Institutes of Standards and Technology (NIST) definition of security versus privacy: Security breaches, as opposed to privacy breaches, are unintentional — typically the result of hacks or bugs in the system. Institutional workflow issues also pose a major difficulty due to the risk of taking responsibility for information coming into a practice from uncontrolled sources. Whose job is it to validate incoming information and potentially alter the workflow? Can this step be automated with acceptable risk?
It’s not hard to see how surveillance as the basis for health information sharing would be contentious and risk the trust that’s fundamental to both individual and public health. Nowhere is this more apparent than in the various legislative efforts currently underway to expand HIPAA to include behavioral health and social determinants of health, preempt state privacy laws, grant data brokers HIPAA Covered Entity status, and limit transparency of how personal data is privately used for “predictive analytics”, machine learning, and artificial intelligence.