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The Rise of the Non-Physician Expert

I remember when one of my patients with coronary artery disease suggested that he be given a course of an antibiotic to lower his future risk of a heart attack. The patient had done his homework, quoting literature that pointed to a possible infectious link to atherosclerosis. He also was aware of the theory that aspirin’s benefit had less to do with blood thinning than reducing underlying inflammation.

Fast forward to the Feb 2-8 Economist that has an editorial pointing out that U.S. legal expertise may not require the completion of three years of law school. Why not, it asks, cut the requirement back to two years or, even better, skip the school requirement entirely and license anyone who can pass the bar exam?

And then there’s the Feb. 11 Wall Street Journal, where “Notable and Quotable” refers to the “BA Bubble.” Charles Murray argues that a looming oversupply of college graduates may portend a decline in the employment value of a liberal education. Work careers may consist of serving as “apprentices” and “journeymen” before becoming “craftsmen.”

All of which makes me wonder if the vaunted Doctor of Medicine degree may be vulnerable.

Why should physician education be immune from a perfect storm of over-priced graduate education, “alternative” web-enabled learning with on-the-job-training? The declining value of the formal credential may be less about the university degree and more about competency, turbocharged by flexible licensing and a discerning consumer.

Non-physician health care professionals are arguing that their expertise is enough to enable them to deliver babies, administer anesthesia, prescribe drugs and perform surgery. My traditionalist colleagues argue that patient safety is at stake and that lay persons may not be able to discern all of the possible risks, benefits and alternatives. When things go occasionally wrong in the delivery suit, operating room or with a drug, they say a credentialed and experienced doc can make the difference between life and death.

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The 30-day Readmission Rate: Not a Quality Measure but an Accountability Measure

Should we hold hospitals accountable for what happens after a patient leaves the hospitals’ doors? A year ago, I thought the answer was no. A hospital’s job was to take care of sick patients, make them better and send them on their way. With more thought and consideration, I have come to conclude that I was probably wrong. It may be perfectly reasonable to hold hospitals accountable for care beyond their walls, but we should be clear why we’re doing it. Readmissions are not a good quality measure – but they may be a very good way to change the notion of accountability within the healthcare delivery system.

The debate around the readmissions measure has come to the forefront because of the CMS Hospital Readmission Reduction Program, which penalizes hospitals for “greater than expected” readmission rates. It has raised the question — does a hospital’s 30-day readmission rate measure the “quality of care” it provides? Over the last three years, the evidence has come in, and to my read, it is unequivocal. By most standards, the readmissions metric fails as a quality measure.

Why do I say that readmissions are a poor measure of hospital quality? First, we have to begin by thinking about what makes a good quality measure. Quality is about the essence of the thing being produced – a good or a service. The job of a car is to get you from place A to place B and a high-quality car may be one that does the job reliably, safely, or maybe even comfortably. The job of a restaurant is to provide a meal that you don’t have to cook — and a high quality restaurant may provide food that is fresh, tasty, or with an attention to service that you enjoy. What is the job of a hospital? When you get sick and require hospital services, a high-quality hospital should give you the right treatments, attend to your needs while you’re there, and make sure nothing bad (i.e. a new nosocomial infection) happens along the way. That’s how we measure hospital quality.

Quality measures for healthcare come in three flavors – structural measures (do you have enough intensivists manning your ICU?), processes measures (did you give the heart attack patient his or her aspirin?) and outcomes measures (did the pneumonia patient die?). The elemental part of both structural measures and process measures is that they have to be tied to an outcome we care about. If having more intensivists in the ICU does not lead to lower ICU mortality (or lower complication rates), we wouldn’t think it’s a particularly good quality measure. We know that giving aspirin to heart attack patients lowers their chances of dying by 25%. We have multiple randomized trials. We don’t need much more evidence. Hospitals that have the right structures in place and reliably deliver the right treatments can reasonably be called high-quality hospitals.

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When is a Health Care Facility not a Health Care Facility?

There are 900,000 people in the United States who reside in assisted living settings, at an average age of nearly 87. On average, these individuals pay privately between $3,000-$6,000 per month for services that often include room and board, medication delivery and pill box set-up, supervision, and assistance with activities of daily living. Assisted living facilities are an integral part of the health care delivery system for many of our nation’s frailest older adults.  Despite the high quality care that is often provided, the assisted living environment can often leave healthcare providers scratching their heads about what they can and cannot order for their patients.  My recent experience with such a facility involving a patient with possible influenza illustrates the complex middle ground these facilities occupy.

A phone call from an assisted living facility in town interrupted me from my afternoon schedule. The facility’s nurse introduced herself and began to give me a report about my 85-year-old patient with dementia.

“Mr. Smith has a fever to 102 and is coughing up some ugly looking sputum.  I’d like to order some labs and perhaps a chest X-ray. We might also want to consider an antibiotic.”

I asked the nurse a series of questions. Was my patient’s blood pressure unstable? Was he short of breath? Was he confused or disoriented?”

In each case, she told me, “no.”

“He is sitting quite comfortably watching a talk show on television. His only complaint is the occasional cough.”

I asked a few more questions and was reassured that he was otherwise fine. I told her that her initial request for blood work and a chest X-ray sounded like a good idea. We would wait on the antibiotic until the results came back.

“I’ll call you later today with the results,” she said.

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Why HHS Created Partnership Exchanges and Why More States Are Choosing Them

New Hampshire: We’re in.

North Carolina: We’re not.

The two states on Tuesday were the latest to announce their intentions on the Affordable Care Act’s health insurance exchanges. States have until Feb. 15 to tell HHS whether they’ll retain even some control over the exchanges, or let the Obama administration run the exchanges for them.

And while New Hampshire made clear that it wants to partner with the federal government to launch an insurance exchange, North Carolina backed out of a previous plan to do exactly that.

By Friday, we’ll know where half a dozen other states stand, too.

Background on Partnership Model
The Affordable Care Act didn’t originally spell out the partnership model; under the law, states faced a binary choice of running their own insurance exchanges or punting the responsibility to the government.

But HHS officials realized they needed to tweak the ACA’s approach, as more than 30 states — increasingly led by Republicans, who took over 11 statehouses in the 2010 election — announced they planned to opt out of the exchanges altogether. This would leave HHS officials with “an awesome task in establishing and operating exchanges in [so many] different states and coordinating those operations with state Medicaid programs and insurance departments,” before open enrollment begins in October 2013, Paul Starr writes in The American Prospect.

As a result, the agency in 2011 introduced the partnership model in hopes of shifting some of the responsibility for running exchanges back to the states.

Under the hybrid approach, the federal government takes on setting up the exchange’s website and other back-end responsibilities, while states keep functions such as approving health plans and setting up consumer assistance programs. HHS also hopes that the partnership model will be a path for states that weren’t ready to run their own exchanges to take them over eventually.

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Choosing Alternative Medicine

After a terribly painful and debilitating illness, Steve died.  He had been treated for Stage 2 Hodgkin’s Disease with a series of intense therapies including German enzymes, American antineoplastins, Mexican naturopathy and Chinese Herbs, complemented by focused meditation, innumerable vitamins, extreme diet modification and acupuncture for severe pain.  He fought the cancer with every ounce of his being, doing everything to survive, except the one thing that had an 85% chance of cure; chemotherapy.

I was struck this week by a comment on my website, which bemoaned the highly disorganized state of “alternative medicine” in this Country and in particular the “paltry sums” for alternative research funding by the National Institutes of Health (NIH). The writer suggested that not only could the quality of health be improved with alternative medicine studies, but would go a long way towards saving health care dollars.

It seems to me that the idea that we need more Complementary and Alternative Medicine (CAM) research goes right to the core of the confusion between so called “conventional medicine” and CAM.  There is a major difference between the medicine practiced by board certified, classically trained physicians and that of alternative practitioners.  That difference is research and data.

If an MD or DO is treating a cancer patient and that patient asks to see or understand the basic science and clinical studies which support the recommended therapy, that published data is readily available. Standard oncology treatment goes through 10-20 years of research, from the test tube, animal studies and through a series of supervised human multi-phase trials, until it is approved and offered to patients. Each step is refereed by competing and critical PhD and physician scientists and must be published in peer-edited journals for general review and criticism, all of which is public and transparent. Where it is not, and when people attempt to manipulate or falsify the system or data, massive blowback eventually occurs.

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Drugmakers May Win Big in Effort to Curb Gun Violence

Reducing gun violence by increasing access to mental health services may cost billions of taxpayer dollars and give drugmakers that help treat mental illness a revenue windfall. But will it reduce gun violence? The answer is uncertain.

In the wake of the tragic shooting at Sandy Hook Elementary School, there have been repeated calls to increase access to mental health services as a way to reduce gun violence in the U.S., even though the evidence is weak at best that those services actually reduce gun violence.

Absent from these calls to action is any sense of how much that policy would cost. Many argue that any cost is worthwhile if it prevents just one needless death due to gun violence. But we live in austere fiscal times and knowing the price tag before taking action makes sense (click on the image above to enlarge).

A just-published Bloomberg Government Study estimates that the potential impact on the federal deficit due to increased spending on mental health services could exceed $260 billion from 2014 to 2021.

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“Social Documentation” for Healthcare

Every day CIOs are inundated with buzzword-compliant products – BYOD, Cloud, Instant Messaging,  Software as a Service, and Social Networking.

In yesterday’s blog post, I suggested that we are about to enter the “post EHR” era in which the management of data gathered via EHRs will become more important than the clinical-facing functions within EHRs.

Today, I’ll add that we do need to a better job gathering data inside EHRs while at the same time reducing the burden on individual clinicians.

I suggest that BYOD, Cloud, Instant Messaging, Software as a Service and Social Networking can be combined to create “Social Documentation” for Healthcare.

In previous blogs, I’ve developed the core concepts of improving the structured and unstructured documentation we create in ambulatory and inpatient environments.

I define “social documentation” as team authored care plans, annotated event descriptions (ranging from acknowledging a test result to writing about the patient’s treatment progress), and process documentation (orders, alerts/reminders) sufficient to support care coordination, compliance/regulatory requirements, and billing.

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Mislabeling Medical Illness

Many readers of my previous blog listing the 10 worst suggestions in DSM 5 were shocked that I failed to mention an 11th dangerous mistake — that DSM-5 will harm people who are medically ill by mislabeling their medical problems as mental disorder. They are absolutely right. I apologize for my previous failure to attend to this danger and hope it is not now too late to influence the process.

Adding to the woes of the medically ill could be one of the biggest problems caused by DSM-5. It will do this in two ways: 1) by encouraging a quick jump to the erroneous conclusion that someone’s physical symptoms are ‘all in the head’; and 2) by mislabeling as mental disorders what are really just the normal emotional reactions that people understandably have in response to a medical illness.

UK health advocate, Suzy Chapman, has closely monitored every step in the development of DSM-5. Her website is the best available resource for finding just about everything you need to know about DSM-5 and ICD-11. Ms Chapman sent me a troubling email that summarizes where DSM-5 has gone wrong and the many harmful consequences that will follow. More details are available at: ‘Somatic Symptom Disorder could capture millions more under mental health diagnosis’ (http://wp.me/pKrrB-29B )

Ms Chapman writes:

…The DSM-5 Somatic Symptom Disorders Work Group is planning to eliminate several little used DSM-IV Somatoform Disorders and replace them instead with an extremely broad new category that is likely to be wildly overused (‘Somatic Symptom Disorder’ — SSD).

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The “Post EHR” Era

Over the next few months, the majority of my time will be spent discussing topics such as care coordination, healthcare information exchange, care management, real time analytics, and population health. At BIDMC, we’ve already achieved 100% EHR adoption and 90% Meaningful Use attestation among our clinician community. Now that the foundation is laid, I believe our next body of work is to craft the technology and workflow solutions which will be hallmarks of the “post EHR” era.

What does this mean?

I’ve written previously about BIDMC’s Accountable Care Organization strategy, which can be summed up as ACO=HIE + analytics.

In a “post EHR” era we need to go beyond simple data capture and reporting, we need care management that ensures patients with specific diseases follow standardized guidelines and protocols, escalating deviations to the care team. That team will include PCPs, specialists, home care, long term care, and family members. The goal of a Care Management Medical Record (CMMR) will be to provide a dashboard that overlays hospital and professional data with a higher level of management.

How could this work?

Imagine that we define each patient’s healthcare status in terms of “properties”. Data elements might include activities of daily living, functional status, current care plans, care preferences, diagnostic test results, and therapies, populated from many sources of data including every EHR containing patient data, hospital discharge data, and consumer generated data from PHRs/home health devices.

That data will be used in conjunction with rules that generate alerts and reminders to care managers and other members of the care team (plus the patient). The result is a Care Management Medical Record system based on a foundation of EHRs that provides much more than any one EHR.

My challenge in 2013-2014 will be to build and buy components that turn multiple EHRs into a CMMR at the community level.

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The RUC is a Symptom. RBRVS is the Disease

The RUC is an easy target. The RUC is flawed. But the RUC is not the problem. Several bloggers have written extensively about the RUC – How the RUC Escaped a Challenge to Our Deeply Flawed Reimbursement System and US Senate Subcommittee Asks What the RUC is About.

In no way can I defend the payment schedules that the RUC has proposed to Medicare. I can defend their recent changes. Radiology payments decreased last year; interventional cardiology payments decreased last year; and many other procedures have decreased dramatically. The relative payments are still wrong (in my opinion), but the RUC actually has been responsive to criticism. They have increased primary care payments (admittedly not enough).

But if one studies the problem carefully enough, one must decide that the idea of paying per episode almost must lead to gaming the system. Forget the RUC, the entire idea of time independent episode based payment must lead to worse medical care and higher costs. If physicians can make more money by doing more, then some will.

Practice administrators push primary care physicians to see more patients each day. If we can decrease the time spent per patient from 20 min to 15 min then we could see up to 8 more patients in an 8 hour day. Our overhead has not changed – hence the marginal financial benefits are huge.

But any honest physician will tell you that the result is rushed medical care. Do we want our surgeon trying to do 5 surgeries today rather than 4? Do you want to be the 5th patient? Continue reading…

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