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Profits, Quality, and U.S. Hospitals

The recent articles in the New York Times about the Hospital Corporation of America (HCA) have once again raised important questions about the role of for-profit hospitals in the U.S. healthcare system.  For-profits make up about 20% of all hospitals and many of them are part of large chains (such as HCA). Critics of for-profit hospitals have argued that these institutions sacrifice good patient care in their search for better financial returns.  Supporters argue that there is little evidence that their behavior differs substantially from non-profit institutions or that their care is meaningfully worse.

To me, this is essentially an empirical question. Yet, I read the through the articles, I was struck by the dearth of data provided on the quality of care at these hospitals.  Based on the comments that followed the stories, it was clear that many readers came away thinking that these hospitals had sacrificed quality in order to maximize profits.  Here, I thought an ounce of evidence might be helpful.

Measuring quality:

There is no perfect way to measure the quality of a hospital.  However, the science of quality measurement has made huge progress over the past decade.  There is increasing consensus around a set of metrics, many of which are now publicly reported by the government and even are part of pay-for-performance schemes.  While one can criticize every one of these metrics as imperfect, taken together, they paint a relatively good, broad picture of the quality of care in an institution.  We focused on five metrics with widespread acceptance:

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Who Owns Patient Data?

Who owns a patient’s health information?

·The patient to whom it refers?
·The health provider that created it?
·The IT specialist who has the greatest control over it?

The notion of ownership is inadequate for health information. For instance, no one has an absolute right to destroy health information. But we all understand what it means to own an automobile: You can drive the car you own into a tree or into the ocean if you want to. No one has the legal right to do things like that to a “master copy” of health information.

All of the groups above have a complex series of rights and responsibilities relating to health information that should never be trivialized into ownership.

Raising the question of ownership at all is a hash argument. What is a hash argument? Here’s how Julian Sanchez describes it:

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Why the Electronic Medical Record Needs to be Viewed as a Medical Device

In our rush to establish a national electronic medical record (EMR) system as part of the American Recovery and Reinvestment Act of 2009, powerful silos of independent EMR systems have sprung up nationwide.

While most systems are being developed responsibly, like the Wild, Wild West, many have been developed without an objective eye toward quality and the potential  harm they may be causing our patients.

As most readers of this blog are aware, since 2005 the medical device industry in which I work has had widely publicized instances of patient deaths splashed all over the New York Times and other mainstream media outlets from defibrillator malfunctions that resulted in a just a few patient deaths.

The backlash in response to these deaths was significant: device registries were developed, software improvements to devices created, and billions of dollars in legal fees and damages paid to patients and their families on the path to improvement.  In addition, we also learned about the limits of corporate responsibility for these deaths thanks to legal precedent established by the Reigel vs. Medtronic case.

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Why We Avoid Telling Patients the Truth

When I started practicing oncology, I was frequently asked by my patients, “What’s my prognosis, what can I expect?” At first, I was reluctant to tell the patient very much, especially when I knew the prognosis wasn’t good. I wanted to spare the patient the details of the inevitable outcome of his cancer, so I downplayed the truth. Some may call it sugarcoating the information. I just wanted to do anything I could to protect my patient from learning that not only didn’t we have a cure for his cancer, we didn’t even have a treatment to extend his life. The best we could do was to maybe improve the quality of his life for as long as possible.

Now, years later, not much has changed. Today, most patients with cancer never receive information from their physicians about their prognosis or even imminent death. According to a recent article in The Journal of the American Medical Association, not telling patients their prognosis leads to a worse quality of life for both patients and their caregivers.

Why are physicians so reluctant to give their patients truthful answers regarding their prognosis? When asked, most oncologists say that they don’t want to take away their patients’ hope of recovery. Others say they are afraid that if they tell them the truth, the patients will stop treatment. Some worry that their patients will leave and seek the advice of another physician.

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All American Physicians Should Be Members of the AMA

All American physicians should be members of the American Medical Association (AMA). And, while they are at it, they should also be members of their county, state, and principal specialty societies.

Why? Because they are the only games in town, and both security and safety are top Maslow imperatives.

The only real political power any physician has is the individual power of persuasion and participation (or not) and the power of a group.

American physicians, if united, would have huge clout, speaking with one voice. American physicians, divided as now, speak with hundreds of thousands of individual voices, a cacophony of futility.

As The Bard saith in Macbeth “… tales told by idiots, full of sound and fury, signifying nothing.”

If you are an American physician and you don’t like what the AMA has done and is doing, if you are not a member, shut your mouth, you have no right to complain.

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The Way Out of the Wilderness

In 1932, the Committee on the Cost of Medical Care identified rising medical costs as a threat to the financial security of millions of Americans. In a series of studies that created the field of health services research, the Committee recommended several strategies for cost containment that reads like a blueprint for today’s cost containment efforts: prevention, price controls, capitation, elimination of unnecessary care, and integration. If it sounds like a précis of my previous two blogs – cut prices and cut quantities – it should. We have known for a long time that those are the only ways to cut spending. And yet here we are, 80 years later, facing a spending crisis that threatens to take down the entire economy.

In my lifetime, we have been subjected to a steady drumbeat of rising medical costs. There have been respites – for a couple of years after Medicare introduced DRGs and for about five years in the 1990s during the heyday of HMOs. While DRGs and HMOs shifted costs down, they did not seem to reverse underlying growth trends, although HMOs did not thrive for long enough to be certain.

Not for lack of trying have medical costs continued to increase. We promote prevention, regulate prices, capitate providers, and review utilization to eliminate wasteful spending. We have seen horizontal integration that led to market power and higher costs, and vertical integration that more often than not created unmanageable bureaucracies. Most of today’s proposals for cost containment can be encapsulated by two words: “Try harder.” The Affordable Care Act gives us free preventive care, stricter price controls, ACOs, and the Comparative Effectiveness Institute. We need radical change but all we get is creeping incrementalism. I will take creeping incrementalism over the do-nothing approach of the previous decade, if only because we could use another respite. But the ACA is no permanent fix.

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To Gauge Hospital Quality, Patients Deserve More Outcome Measures

Patients, providers and the public have much to celebrate. Recently, the Centers for Medicare and Medicaid Services’ Hospital Compare website added central line-associated bloodstream infections in intensive care units to its list of publicly reported quality of care measures for individual hospitals.

Why is this so important? There is universal support for the idea that the U.S. health care system should pay for value rather than volume, for the results we achieve rather than efforts we make. Health care needs outcome measures for the thousands of procedures and diagnoses that patients encounter. Yet we have few such measures and instead must gauge quality by looking to other public data, such as process of care measures (whether patients received therapies shown to improve outcomes) and results of patient surveys rating their hospital experiences.

Unfortunately, we lack a national approach to producing the large number of valid, reliable outcome measures that patients deserve. This is no easy task. Developing these measures is challenging and requires investments that haven’t yet been made.

The addition of bloodstream infections data is a huge step forward. These potentially lethal complications, measured using Centers for Disease Control and Prevention’s methods, are among the most accurately measured outcomes. In addition, the science of how to significantly reduce these infections is mature, and hundreds of hospitals of all types and sizes have nearly eliminated them. A program to reduce these infections that started at Johns Hopkins Hospital was spread throughout Michigan, and is now being implemented throughout the U.S., demonstrating substantial reductions.

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Let’s Do the Numbers

Julie Creswell and Reed Abelson offer a story in the New York Times about the HCA for-profit hospital system, noting “A giant hospital chain is blazing a profit trail.”  The HCA story and similar ones about other hospital chains financed by private equity force us to consider how a such firms can achieve a return on equity that satisfies investors.

The answer is that they cannot, if we think about running the business on a long-term basis.  What makes it work is extracting cash and the exit strategy, the heart and soul of private equity.

As Warren Buffett might say, let’s keep this simple.  A for-profit hospital system has the following disadvantages vis-a-vis a non-profit hospital system:  (1) Its finances are a mixture of equity and taxable debt, both of which are more expensive than the nontaxable debt of a non-profit; (2) it pays taxes–federal and state income tax, property tax, and sales tax–on which the non-profit is exempt; and (3) it is an unattractive vehicle for charitable donations, compared to the tax-advantages offered donors of non-profits.

These are hefty financial advantages for non-profits, which nonetheless are fortunate if they are able to earn an operating margin of 3%.  Admittedly, that’s 3% of revenues, not a 3% return on capital.

An equity investor in a for-profit doesn’t care about margin, strictly speaking, but rather is focused on the rate of return of his or her investment.  But let’s stick with the operating margin just for a moment, and let’s just accept that a 3% margin would not generate the kind of equity return demanded by the market place:  You pick the hurdle rate:  15%, 20%, 25%, more?  It doesn’t matter.  A three percent margin just doesn’t get you there.

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Using Predictive Modeling to Make Better Decisions

In an article posted earlier this year on this blog I argued that hospitals have traditionally done a sub-par job of leveraging what has now been dubbed “big data.” Effectively mining and managing the ever rising oceans of data presents both a major challenge – and a significant opportunity – for hospitals.

By doing a better of job connecting the dots of their big data assets, hospital management teams can start to develop the crucial insights that enable them to make the right and timely decisions that are vital to success today. And, better, timelier decisions lead to improved results and a higher level of quality patient care.

That’s the good news. The less than positive story is that hospitals are still way behind in using the mountains of data that are being generated within their institutions every day. Nowhere is this more apparent than in the advanced data management practice of predictive modeling.

At its most basic, predictive modeling is the process by which data models are created and used to try to predict the probability of an outcome. The exciting promise of predictive modeling is that it literally gives hospitals the ability to see into (and predict) the future. Given the massive changes and continuing uncertainty that are buffeting all sectors of the healthcare industry (and especially healthcare providers), having a clearer future view represents an important strategic advantage for any hospital leader.

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How Do We Bend the Cost Curve? Reduce the Waste.

Health care had its own version of the LeBron James “Decision” last month with the Supreme Court upholding the critically important elements of the Affordable Care Act. Now that the uncertainty is behind us―at least until the November elections―health care leaders can continue preparing their organizations for the changes ahead.

Fixing the system requires reforms at the macro level. But it also takes a symphony of smaller actions happening in concert. As experience bears out, it is difficult to agree upon a collective action with so many competing interests in health care and the partisanship that has gripped politics. But there is a song that we can all agree upon, loud and in unison. Reduce the waste.

Nearly a third of our health care costs come from wasteful spending and inefficiencies that could be avoided. Left unchecked, this is a nail in the coffin of our system; but, if tackled, is a huge cost containing opportunity. By identifying waste in the delivery system and systematically reducing it, we could lower costs without resorting to budget cuts and fees that compromise the quality of care.

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