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Getting Pay-For-Performance Right

Over the past decade, there has been yet another debate about whether pay-for-performance, the notion that the amount you get paid is tied to some measure of how you perform, “works” or not. It’s a silly debate, with proponents pointing to the logic that “you get what you pay for” and critics arguing that the evidence is not very encouraging. Both sides are right.

In really simple terms, pay-for-performance, or P4P, can be thought about in two buckets: the “pay” part (how much money is at stake) and the “performance” part (what are we paying for?). So, in this light, the proponents of P4P are right: you get what you pay for. The U.S. healthcare system has had a grand experiment with P4P: we currently pay based on volume of care and guess what? We get a lot of volume. Or, thinking about those two buckets, the current fee-for-service structure puts essentially 100% of the payments at risk (pay) and the performance part is simple: how much stuff can you do? When you put 100% of payments at risk and the performance measure is “stuff”, we end up with a healthcare system that does a tremendous amount of stuff to patients, whether they need it or not.

Against these incentives, new P4P programs have come in to alter the landscape. They suggest putting as much as 1% (though functionally much less than that) on a series of process measures. So, in this new world, 99%+ of the incentives are to do “stuff” to patients and a little less than 1% of the incentives are focused on adherence to “evidence-based care” (though the measures are often not very evidence-based, but let’s not get caught up in trivial details). There are other efforts that are even weaker. None of them seem to be working and the critics of P4P have seized on their failure, calling the entire approach of tying incentives to performance misguided.

The debate has been heightened by the new national “value-based purchasing” program that Congress authorized as part of the Affordable Care Act. Based on the best of intentions, Congress asked Medicare to run a program where 1% of a hospital’s payments (rising to 2% over several years) is tied to a series of process measures, patient experience measures, and eventually, mortality rates and efficiency measures. We tried a version of this for six years (the Premier Hospital Quality Incentives Demonstration) and it didn’t work. We will try again, with modest tweaks and changes. I really hope it improves patient outcomes, though one can understand why the skeptics aren’t convinced.Continue reading…

The Nine C’s of Successful Accountable Primary Care Delivery

The Accountable Primary Care Model: New Hope for Medicare and Primary Care

Primary care has long been something of an outcast in the medical profession — and despite convincing outcomes and a validated assessment tool, checkered reimbursement has brought the Institute of Medicine’s Primary Care Model to the brink of demise.

But the accountable care movement, and some Medicare Advantage plans in particular, have breathed new life into primary care and offered new hope for the struggling Medicare system. At St. Louis-based Essence Healthcare, a 4.5-star Medicare Advantage plan, network primary care physicians’ deep experience in providing accountable care has spawned innovations that advance primary care and make progress toward the “Triple Aim Plus One” (outlined in C9 below). Their success is the result of five years of active practice transformation and continuous improvement in a risk-bearing environment.

The best practice experience from these front-line physicians can be summarized in the Accountable Delivery System Institute’s Accountable Primary Care Model. This model embraces the four pillars outlined in the Institute of Medicine/Starfield model and expands them for Nine C’s of Accountable Primary Care Delivery. They are:

C1: First contact means that care is initially sought from the Primary Care Physician/Clinician (PCP) when new health or medical needs arise. In a nationally representative sample of more than 20,000 episodes of care, when these events began with PCP visits, as distinguished from some other source of care in the system, costs were 53% lower. This cost differential persisted after controlling for ER visits, health status, socio-demographics, and other relevant variables.

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Building a Better Health Care System: Electronic Health Records Could Help Identify Which Patients Most Need ICU Resources

It wasn’t until I had read this.

A national shortage of critical care physicians and beds means difficult decisions for healthcare professionals: how to determine which of the sickest patients are most in need of access to the intensive care unit. What if patients’ electronic health records could help a physician determine ICU admission by reliably calculating which patient had the highest risk of death?

Emerging health technologies – including reliable methods to rate the severity of a patient’s condition – may provide powerful tools to efficiently use scarce and costly health resources, says a team of University of Michigan Health System researchers in the New England Journal of Medicine.

“The lack of critical care beds can be frustrating and scary when you have a patient who you think would benefit from critical care, but who can’t be accommodated quickly. Electronic health records – which provide us with rich, reliable clinical data – are untapped tools that may help us efficiently use valuable critical care resources,” says hospitalist and lead author Lena M. Chen, M.D., M.S., assistant professor in internal medicine at the University of Michigan and an investigator at the Center for Clinical Management Research(CCMR), VA Ann Arbor Healthcare System.

The UMHS and VA study referenced in the article finds that patients’ severity of illness is not always strongly associated with their likelihood of being admitted to the ICU, challenging the notion that limited and expensive critical care is reserved for the sickest patients. ICU admissions for non-cardiac patients closely reflected severity of illness (i.e., sicker patients were more likely to go to the ICU), but ICU admissions for cardiac patients did not, the study found. While the reasons for this are unclear, authors note that the ICU’s explicit role is to provide care for the sickest patients, not to respond to temporary staffing issues or unavailable recovery rooms. Continue reading…

HealthEd Academy Report: Speaking Multiculturally in Health Care

An often repeated saying in health care goes that patients lose about 80% of the information they heard during a doctor’s appointment by the time they reach the parking lot. It emphasizes that patients aren’t able to put followup care instructions into practice when they either forget or don’t comprehend what was said during a visit. Whatever the actual percentage might be, a guaranteed way to ensure that patients take home 0% of that information is to talk to them in a language they don’t understand.

Twenty percent of the United States population reported that they speak a language other than English at home, according to the U.S. Census Bureau. Many health care workers see limited English proficient patients every day, and within Accountable Care Organizations (ACOs) and Patient-Centered Medical Homes (PCMHs) it will be up to these workers to make sure that patients have the best health outcomes, no matter how high the language barriers are.

Today HealthEd Academy released the results of a survey that looked at the way non-MD health care professionals interact with their patients from multicultural backgrounds. The report examined responses from a survey of 192 health care extenders, which included nurses, social workers, pharmacists, patient educators, and more. One in five of those surveyed were part of an ACO or PCMH.

The respondents reported working with a huge array of languages. They were asked to name the most common languages spoken by their patient populations, and four out of 10 checked “other,” despite being able to choose from 10 languages identified by the Census Bureau as the most commonly spoken. Among the languages respondents wrote in were Arabic, Yiddish, several Indian/Pakistani languages, and sign language.

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Should Your Review of Your Doctor Be Taken Seriously?

Recent articles highlight challenges with holding providers accountable for the care they deliver. One of the major thrusts of efforts to transform the American healthcare delivery system has been to become more patient-centered and to allow patients to provide feedback that matters.

Emblematic of this is the emphasis on patient involvement in the final rules for the Shared Savings Program accountable care organizations (ACO).

Echoing former Centers for Medicare & Medicaid Services Director Don Berwick’s plea on the behalf of patients (“Nothing about us without us”), the ACO final rules emphasize patient engagement in governance, quality improvement and the individual doctor/patient interaction.

Michael Millenson’s white paper provides a summary of the patient empowerment movement.

The development of the patient activation measure (PAM) and the Center for Advancing Health’s 43 engagement behaviors has allowed us to study patient-centeredness with more specificity. Studies have shown that activated patients are less likely to choose surgical interventions, have better functional status and satisfaction, are more likely to perform self-management behaviors, and report higher medication adherence rates.

Healthcare policy experts and payers have embraced the argument outlined above, and patients’ reports of their satisfaction with both physicians and hospitals have increasingly been used to calculate financial rewards.

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The Gold Plated Health Care System: What the New Numbers Tell Us about the State of the Economy

For the third year in a row, national health spending in 2011 grew less than 4 percent, according to the CMS Office of the Actuary.  However, the report said modest rebounds in pharmaceutical spending and physician visits pointed toward an acceleration of costs in 2012 and beyond.  CMS’s analysts make much of the cyclical character of health spending’s relationship to economic growth and also forecast a doubling of cost growth in 2014 to coincide with the implementation of health reform.

This non-economist respectfully disagrees and believes the pause could be more durable, even after 2014.   Something deeper and more troublesome than the recession is at work here.  As observed last year, the health spending curve actually bent downward a decade ago, four years before the economic crisis. Health cost growth has now spent three years at a pre-Medicare (indeed, a pre-Kennedy Administration) low.

More Than The Recession Is At Work

Hospital inpatient admissions have been flat for nine years, and down for the past two, despite compelling incentives for hospitals to admit more patients. Even hospital outpatient volumes flat-lined in 2010 and 2011, after, seemingly, decades of near double-digit growth.  Physician office visits peaked eight years ago, in 2005, and fell 10 percent from 2009 to 2011 before a modest rebound late in 2011 — all this despite the irresistible power of fee-for-service incentives to induce demand.

The modest rebound in pharmaceutical spending (2.9 percent growth) in 2011 appears to have been a blip.  IMS Health reports that US pharmaceutical sales actually shrank in 2012, for the first time in recorded history, and that generic drugs vaulted to the high 70s as a percent of prescriptions!

There is no question that the recession’s 7-million increase in the uninsured depressed cost growth.  But the main reason health cost growth has been slowing for ten years is the steadily growing number of Americans — insured or otherwise — that cannot afford to use the health system.  The cost of health care may have played an unscripted role in the 2008 economic collapse.  A 2011 analysis published in Health Affairs found that after accounting for increased health premium contributions, out-of-pocket spending growth and general inflation, families had a princely $95 more a month to spend on non-health items in 2009 than a decade earlier.  To maintain their living standards, families doubled their household debt in just five years (2003-2008), a debt load that proved unsustainable.  When consumers began defaulting on their mortgages, credit cards and car loans, the resultant chain reaction brought down our financial markets, and nearly resulted in a depression.

By sucking up consumers’ income since 2008, the rising cost of health benefits has weighed heavily upon the recovery.  According to the 2012 Milliman Cost Index, the cost of health coverage rose by 32.8 percent from 2008 to 2012, while family income did not grow at all in real terms.  The total cost (employer and employee contributions plus OOP spending) of a standard PPO policy for a US family of four was $20,700, almost 42 percent of the US household median income in 2012.

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Building a Better Health Care System: Should We Be Tracking Misdiagnosis?

If you study misdiagnosis you realize how often patients get the wrong diagnosis.

But what do expert doctors think about how often it happens? And what do they think can be done to address it?

We wanted to find out so we partnered with the National Coalition on Healthcare to conduct a landmark, nationwide survey. We surveyed 400 cancer specialists from our Best Doctors database – and the findings were provocative.

The survey, “Exploring Diagnostic Accuracy in Cancer: A Nationwide Survey of 400 Leading Cancer Specialists,” focused on what doctors believe to be the most significant barriers in efforts to accurately diagnose cancers; the types of cancer they believe are most often misdiagnosed; and the tools and improvements they most need to combat misdiagnosis.

One of the most surprising findings was on how often doctors believe misdiagnosis happens. While published studies show that misdiagnosis occurs in about 15-28% of cases, the large majority of doctors we surveyed thought it happens in less than 10% of cases. At the same time, doctors recognized that the root causes of misdiagnosis were very prevalent – fragmented medical information, disparities in experience among pathologists and other factors.

So – how to explain the difference in doctors’ perceptions and the published research? I think it is because there is no systematic feedback loop for doctors letting them know of inaccuracies in their care. If you diagnose someone and they go on to get treatment someplace, and it’s later discovered that a diagnosis wasn’t exactly right, the original doctor may never find out about it. If you don’t hear about it, you can’t be blamed for thinking this problem is rare. It also means you miss out on the opportunity to improve the quality of care that these cases represent.

Another interesting point. Doctors reported that, regardless of how often they thought diagnostic inaccuracies happened, it is a problem that needed more attention from policy-makers. As NCHC President and CEO John Rother observed, “Not enough is being done on the state and federal policy end of things to acknowledge and firmly address this critical issue. Given our current health care climate and challenges, as decision-makers become more aware of the frequency of misdiagnosis and the enormous costs associated with it, they have a sizeable opportunity to make diagnostic accuracy much more of a ‘front and center’ issue in health care.”

Here’s to that promising thought.

Evan Falchuk is Vice Chairman of Best Doctors, Inc., where this post originally appeared. Prior to joining Best Doctors, Inc., in 1999, he was an attorney at the Washington, DC, office of Fried, Frank, Harris, Shriver and Jacobson, where he worked on SEC enforcement cases. This post originally appeared on Best Doctors, Inc.’s See First Blog.

Could Wasteful Healthcare Spending Be Good for the Economy?

Suppose I throw a rock through a store owner’s window. You admonish me for this act of vandalism. But I reply that I have actually done a good deed.

The store owner will now have to employ someone to haul the broken glass away and someone else, perhaps, to clean up afterward. Then, the order of a new glass pane will create work and wages for the glassmaker. Plus, someone will have to install it. In short, my act of vandalism created jobs and income for others.

The French economist, Frédéric Bastiat called this type of reasoning the “fallacy of the broken window.” All the resources employed to remove the broken glass and install a new pane, he said, could have been employed to produce something else. Now they will not be. So society is not better off from my act of vandalism. It is worse off — by one pane of glass.

But there is a new type of Keynesian (to be distinguished from Keynes himself) that rejects the economist’s answer. Wasteful spending can actually be good, they argue. If so, they will love what happens in health care.

By some estimates one of every three dollars spent on health care is unnecessary and therefore wasteful. ObamaCare’s “wellness exams” for Medicare enrollees — so touted during the last election — is an example. Millions of taxpayer dollars will be spent on this service, yet there is no known medical benefit. Similarly, ObamaCare is encouraging all manner of preventive care — by requiring no deductibles or copayments — which is not cost effective.

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How Doctors Think About New Technologies

“Hey doctor, what do you think about this product/solution/service?”

These days, I look at a lot of websites describing some kind of product or solution related to the healthcare of older adults. Sometimes it’s because I have a clinical problem I’m trying to solve. (Can any of these sleep gadgets provide data — sleep latency, nighttime awakenings, total sleep time — on my elderly patient’s sleep complaints?)

In other cases, it’s because a family caregiver asks me if they should purchase some gizmo or sensor system they heard about. (“Do you think this will help keep my mom safe at home?”)

And increasingly, it’s because an entrepreneur asks me to check out his or her product.

So far, it’s been a bit of a bear to try to check out products. Part of it is that there are often too many choices, and there’s not yet a lot of help sifting through them. (And research has shown that choices create anxiety, decision-fatigue, and dissatisfaction with one’s ultimate pick.)

But even when I’m just considering a single product and trying to decide what to think of it, I find myself a bit stumped by most websites. And let’s face it, if I visit a website and it doesn’t speak to my needs and concerns fairly quickly, I’m going to bail. (Only in exceptional cases will I call or email for more information.)

So I thought it might be interesting to try to articulate what would help me more thoughtfully consider a product or service that is related to the healthcare of older adults.

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Why Obamacare Helps Small Business – And What That Means For the Rest of Us

It wasn’t until I had read this Jan. 30 Wall Street Journal opinion piece that I realized that my “nano” corporate” status was packed with such futuristic potential. According to the editorialist, American companies should follow my lead and be “protean” by dropping old fashioned W-2 employees and substituting 1099 contract relationships.  That way, everyone – including a single person “nano” – can enjoy the upsides of being a corporation and stay below Obamacare’s 50 employee pay-or-play $2000 penalty threshold.

Since I formed my own corporation more than 5 years ago, it has certainly participated in “protean” business relationships.

Once things get underway, I’ve discovered that of the many prominent organizations that it does business with really consist of a small core office populated by a few owner-founders, a single administrative aide and one or two payroll folks who oversee the outsourcing of everything else.  While the term “protean” is certainly novel,  distributed, adaptable and organic business networks have been around for years.

But the WSJ editorial opens a window into an underappreciated consequence of Obamacare and the underlying assumptions of the central planners who run Washington DC.  I doesn’t necessarily think it’s bad, but it sure is interesting.

Read on.

While the Affordable Care Act (ACA) was intended to link employment and health insurance, what it has really done is handed many small nimble interlocked businesses another leg-up against their large traditional mainframe competitors. For example, one colleague pointed out to the  that “new” pharma companies are really marketing departments that outsource manufacturing that, in turn, outsources supply management that outsources I.T. that outsources its cloud services. It’s the only way they can compete.

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