A little more than 13 years ago, the Institute of Medicine (IOM) released its seminal report on patient safety, To Err is Human.
You can say that again. We humans sure do err. It seems to be in our very nature. We err individually and in groups — with or without technology. We also do some incredible things together. Like flying jets across continents and building vast networks of communication and learning — and like devising and delivering nothing- short-of-miraculous health care that can embrace the ill and fragile among us, cure them, and send them back to their loved ones. Those same amazing, complex accomplishments, though, are at their core, human endeavors. As such, they are inherently vulnerable to our errors and mistakes. As we know, in high-stakes fields, like aviation and health care, those mistakes can compound into catastrophically horrible results.
The IOM report highlighted how the human error known in health care adds up to some mindboggling numbers of injured and dead patients—obviously a monstrous result that nobody intends.
The IOM safety report also didn’t just sound the alarm; it recommended a number of sensible things the nation should do to help manage human error. It included things like urging leaders to foster a national focus on patient safety, develop a public mandatory reporting system for medical errors, encourage complementary voluntary reporting systems, raise performance expectations and standards, and, importantly, promote a culture of safety in the health care workforce.
How are we doing with those sensible recommendations? Apparently to delay is human too.
The latest news story to examine the issue of patient access to implantable cardiac defibrillator data (a variation on the theme of “gimme my damn data”) is an in-depth, Page One Wall Street Journal story featuring Society for Participatory Medicine members Amanda Hubbard and Hugo Campos. They have garnered attention in the past – one example is another piece on Hugo on the NPR Shots blog about six months back. The question posed by these individuals is simple — May I have access to the data collected and/or generated by the medical device implanted in my body? — but the responses to the question have been anything but. It is important to note that not every patient in Amanda’s or Hugo’s shoes would want the data in as detailed a format as they are seeking to obtain, and we should not impose the values of a data-hungry Quantified Self devotee on every similarly-situated patient. Different strokes for different folks.
The point is that if a patient wants access to this data he or she should be able to get it. What can a patient do with this data? For one thing: correlate activities with effects (one example given by Hugo is his correlation of having a drink of scotch with the onset of an arrhythmia — correlated through manual recordkeeping — which led him to give up scotch) and thereby have the ability to manage one’s condition more proactively.
The US healthcare system’s myriad of problems again seized the headlines recently with the release of an Institute of Medicine report, which found that 30 percent of healthcare spending in 2009 – around $750 billion – was wasted. Citing the “urgent need for a system-wide transformation,” the report blamed the lack of coordination at every point in the system for the massive amount of money wasted in healthcare each year.
One critical area in particular need of transformation is the business and operating model that drives healthcare in the US. There is broad-based agreement across the healthcare industry that the current fee-for-service model does not work, and needs to be changed. The sweeping health reform law enacted in 2010 included a range of more holistic, value-based payment structures that are now being referred to as “population health.”
Population health is an integrated care model that incentivizes the healthcare system to keep patients healthy, thus lowering costs and increasing quality. In this value-based healthcare approach, patient care is better coordinated and shared between different providers. Key population health models include:
· Bundled/Episodic Payments – This is where provider groups are reimbursed based on an expected cost for a clinically defined episode of care. · Accountable Care Organizations (ACOs) – This new model ties provider reimbursement to quality and reduction in the total cost of care for a population of patients.
Healthcare: The Journal of Delivery Science and Innovation, a new journal promoting cutting edge research on innovation in health care delivery, has launched. The questions is, do we really need yet another journal? The short answer is yes. The longer answer is, absolutely yes. Here’s why.
The Need for New Knowledge on Healthcare Delivery
There is an urgent need to improve our mess of a health care system. Healthcare will consume about $2.8 trillion in 2012 – that’s an astronomical amount of money. To think of it in another way: spending in Intensive Care Units will make up 1% of all economic activity in the U.S. In a broader context, about 1 in 5 dollars in the economy will be spent on healthcare.
How will we actually spend the $2.8 trillion? Over a million doctors and nurses will see patients in hundreds of thousands of clinics, hospitals, nursing homes, and countless other settings. They will see patients who are sick and suffering and will make decisions about how to help them get better. These intensely personal decisions will be made in the context of a broader healthcare delivery system that is mindboggling diverse, complex, and fundamentally broken. We are probably wasting more on healthcare than we are spending on education. Yet, despite all this money and excess (or may be because of it), tens of thousands of Americans are dying each year because of poor quality, unsafe care. We can do so much better.
This is the saddest moment in my 45 year career of studying, practicing, and teaching psychiatry.
The Board of Trustees of the American Psychiatric Association has given its final approval to a deeply flawed DSM 5 containing many changes that seem clearly unsafe and scientifically unsound. My best advice to clinicians, to the press, and to the general public – be skeptical and don’t follow DSM 5 blindly down a road likely to lead to massive over-diagnosis and harmful over-medication.
Just ignore the ten changes that make no sense.
Brief background. DSM 5 got off to a bad start and was never able to establish sure footing. Its leaders initially articulated a premature and unrealizable goal- to produce a paradigm shift in psychiatry. Excessive ambition combined with disorganized execution led inevitably to many ill conceived and risky proposals.
These were vigorously opposed. More than fifty mental health professional associations petitioned for an outside review of DSM 5 to provide an independent judgment of its supporting evidence and to evaluate the balance between its risks and benefits. Professional journals, the press, and the public also weighed in- expressing widespread astonishment about decisions that sometimes seemed not only to lack scientific support but also to defy common sense.
DSM 5 has neither been able to self correct nor willing to heed the advice of outsiders. It has instead created a mostly closed shop- circling the wagons and deaf to the repeated and widespread warnings that it would lead to massive misdiagnosis. Fortunately, some of its most egregiously risky and unsupportable proposals were eventually dropped under great external pressure (most notably ‘psychosis risk’, mixed anxiety/depression, internet and sex addiction, rape as a mental disorder, ‘hebephilia’, cumbersome personality ratings, and sharply lowered thresholds for many existing disorders). But APA stubbornly refused to sponsor any independent review and has given final approval to the ten reckless and untested ideas that are summarized below.
Costs and revenue: This is the oxygen of any business, any organization. What are your revenue streams? How much does it cost you to produce them? Life is not just about breathing, but, if you don’t get that in-out equation right, there is nothing else life can be about.
Right now this enormous sector is turning itself inside out. It has turned the “transmogrification” setting to “warp.” Why? It’s all about the in-out. It’s all about increasingly desperate attempts to get that right — and the clear fact that we cannot know if we are getting it right.
Let’s do some school on the two sides of this equation. Let’s just go over the new weirdness, and the implications for you and your organization. Revenue first.
Hunting for True Revenue
In traditional health care (the way we did business until about five minutes ago) the revenue side was complicated in detail, but simple in concept: You do various procedures and tests and services, and you bill for them. You bill each item according to a code. You bill different payers; each has its own schedule of payments that you negotiate (or just get handed) every year. There are complications, such as people on Medicare with supplemental insurance, dual eligibles on Medicare and Medicaid, and self-pay patients who may or may not pay.
That’s the basic job: aggregating enough services that reimburse more than their real cost so that you can cover the costs of services that don’t reimburse well. This is cost-shifted, fee-for-service management. Cut back on those low-reimbursement services; pump up the high-reimbursement ones. Corral the docs you need to provide the services, provide the infrastructure and allocate costs across the system.
The incentives all point in the same direction. The revenue streams are all additive. The more you do of the moneymaking items on the list, the more money you make.
Today the Office of the Inspector General (OIG) in the Department of Health and Human Services released a report, here, that is decidedly critical of CMS and ONC oversight of the Electronic Health Record (EHR) subsidy program.
Over the last couple of years there have been growing criticisms of the Meaningful Use program and its disbursement of potentially $30 billion in ARRA funds. I have detailed many of these concerns, such as the overall effectiveness of electronic records, my doubts as to the robustness of the first two Stages of Meaningful Use requirements, the safety record of the technologies, their ability to actually save money, their real-world interoperability, and their general usability in the healthcare workflow, here.
Recently, additional questions have been raised that go to the very heart of the subsidy program. First, the Center for Public Integrity, here, and the New York Times, here, set off a firestorm with allegations of EHR use leading to extensive upcoding. This led to a scolding letter to the healthcare industry from Secretary Sebelius and the Attorney-General, here, and combative words back from some of the addressees, here.
Donald Berwick, M.D., Former President and CEO, Institute for Healthcare Improvement; Former Administrator, Centers for Medicare and Medicaid Services. The second annual Lundberg Institute Lecture welcomes Dr. Berwick, who studies the management of health care systems with emphasis on using scientific methods and evidence-based medicine and comparative effectiveness research to improve the tradeoff among quality, safety and costs.
Event Description: In the ongoing difficult transition to the Obama health plan, Dr. Berwick’s analysis of these issues has been resisted, and even distorted, by some political opponents in the current public debate. Dr. Berwick concludes that “Any health-care funding plan that is just, equitable, civilized and humane must, must redistribute wealth from the richer among us to the poorer and the less fortunate. Excellent health care is by definition redistributional.” Also, hear Dr. Berwick’s ideas on how true delivery system reform – changing care to better meet the needs of patients, families and communities – provides a sensible and effective alternative to the much-feared threat of rationing of care. Click here for more information and to purchase tickets.
MLF: Humanities Location: SF Club Office Time: 5:30 p.m. networking reception, 6 p.m. program Cost: $20 standard, $8 members, $7 students (with valid ID) Program Organizer: George Hammond Also know: In association with The Lundberg Institute
The Washington Post covers a new order by DC district court judge Gladys Kessler, arising out of an old RICO case brought by the federal government, requiring that the tobacco companies publish advertisements to confess publicly that they previously lied about the safety of smoking and manipulated cigarettes to make them more addictive. I have pulled the district court order and posted it, along with this appendix. The order provides the exact language of the mandated advertisements, but no analysis. Below the fold, I trace the convoluted path this case and a related case have taken through the compelled speech doctrine around the First Amendment, all thanks to a single judge on the Court of Appeals.
A. Adverse Health Effects of Smoking
A Federal Court has ruled that the Defendant tobacco companies deliberately deceived the American public about the health effects of smoking, and has ordered those companies to make this statement. Here is the truth:
• Smoking kills, on average, 1200 Americans. Everyday.
• More people die every year from smoking than from murder, AIDS, suicide, drugs, car crashes, and alcohol, combined.
• Smoking causes heart disease, emphysema, acutemyeloid leukemia, and cancer of the mouth, esophagus, larynx, lung, stomach, kidney, bladder,and pancreas.
• Smoking also causes reduced fertility, low birthweight in newborns, and cancer of the cervix and uterus.
A recent analysis of the ACO market by Oliver Wyman market suggests we’re well on our way toward being “there.”
My personal take on this report:
Provocative, fresh, thoughtful, well reasoned, expansive — albeit a bit of a stretch
However, I suspect many others will describe it as:
Speculative, harebrained, unsupported, overly extrapolative, out-to-lunch, wishful to the point of being woo woo.
So now that I hopefully have your attention, what’s this report all about? In a nutshell:
The healthcare world has only gotten serious about accountable care organizations in the past two years, but it is already clear that they are well positioned to provide a serious competitive threat to traditional fee-for-service medicine. In “The ACO Surprise,” our analysis finds that 25 to 31 million Americans already receive their care through ACOs—and roughly 45 percent of the population live in regions served by at least one ACO.
Let’s dig in to the report. In this blog post, I’ll summarize their math, surface their critical assumptions and observations, and comment on their reasoning. I’ve indented direct quotations from the report.
While I don’t agree with all of Oliver Wyman’s math and assumptions, I applaud them for the process they have gone through. Please take my commentary as “quibbling at the edges” and that overall I’m on board with their methodology and conclusions.