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Archive for the ‘Healthcare Economics’ Category

Equal Pay for Equal Work: Medicine is the Perfect Laboratory

The endless debates about the “Pay Gap” between men and women in the United States drones on. Today is “Equal Pay Day”, kinda like “Tax Day”, the day when you stop paying the government and instead start paying yourself, only it’s the day when the “average” woman supposedly has to wait for before she starts to make what a man makes. It all makes for great spectacle and epic barstool arguments for the same reason that people argue about who’s greater, Michael or Elgin, Kareem or Russell, The Babe or Barry: there is no proper, standard way to measure the issue at hand. On a barstool arguing “greatest ever” you never agree on either the definition of “greatest”, nor can you account for the vast differences in historical eras.

So it is with the pay gap. No one agrees on what constitutes work, let alone equal work.

This creates the maddening situation in which we find ourselves now whenever this comes up for discussion. Absent a meaningful definition of either “work” or “equal” we are left with folks on all possible sides of the issue simply choosing whatever statistic will support their deeply held beliefs about the issue. It’s crazy, actually. I read a dozen citations today and each one was so deeply flawed that it couldn’t stand the scrutiny of the middle if you velcroed it to the  50 yard line. Work is invariably conflated with “hours worked” with no discernible effort made to investigate something like intensity, or the measurable work performed per unit of time. “Equal” work is just a quagmire of competing opinions with, again, no effort whatsoever at objective measurement. How can you have a discussion that is meant to conclude with some sort of actionable agreement when all you do is pull numbers out of the ether and throw them at each other?

While engaging in a sorta, kinda conversation about this on Twitter it struck me that I actually live and work in the perfect laboratory to investigate the issue of the Pay Gap between men and women. You see, we have reams of objective data that can be evaluated. We all, men and women, do exactly the same things if we have the same jobs. Not only that but we have a unit of measurement for that work, the RVU. If Dr. Darrell does a cataract surgery and Dr. Dora does a cataract surgery, we have both done the same job. We can even determine the “intensity” of our work, our output if you will. A simple survey of hours worked per day can generate the metric: RVU/hour. Better yet, don’t take my word for it in a survey, just look at that heretofore meaningless and useless EMR and look at the measured time Darrell and Dora took to do their work. The OR record is a precise measurement of how much work we did per unit of time.

This is powerful stuff. Work is defined. An appendectomy is an appendectomy. A Level 4 New Patient Office Encounter is a Level 4…you get the idea. You get to compare apples to apples, heck, you get to compare Honeycrisp apples to Honeycrisp apples. It doesn’t matter if you are a man or woman or transgender. White, Black, Brown, Yellow, Red (did I miss anyone?), Millennial, Boomer and everything in between, work is work and an RVU is an RVU. Heck, you could gather all of the information about the work without anyone knowing who did it until after it’s all together. We could have a big unveiling when we lift the blinders and see who did what and how much they did. Seriously, how cool is this? It would almost be like science.

Let’s do be a bit serious for a moment. Imagine what kind of information we could acquire and what kinds of questions we could ask and answer. For sure there will be very reasonable concerns about how much we will be able to extrapolate from medicine to other areas of employment (advertising, investment banking, etc.), but it’s a great place to start. The question of the Gender Gap is primary, but how about looking at work across the generations. There is a “feeling” in medicine, certainly among crusty old folks in my generation, that younger physicians of both genders work fewer hours and do less work per hour when they do work. Is that true? It sure looks like it would be easy to answer that one, too.

There are actually a number of other issues in medicine that would be clarified if we had this kind of data, at least insofar as the work done is concerned. For example, how do private practitioners stack up against salaried physicians in large groups? Is there a correlation between how those salaries are determined and the intensity of work done? We can also look at value, work done per dollar paid (again, assuming equal outcomes). Where are we getting the best bang for our buck? For that matter, with the EMR’s that never sleep we can actually look at the responsiveness of doctors to their patients in urgent or emergent circumstances. Is there one group (men vs. women, private practice vs. employed) who are more responsive?

Having a discussion that is based on hard definitions of terms and data-driven rather than belief-driven opens up a whole world of meaningful inquiry.

Once upon a time I was among the highest paid physicians in the U.S. I worked insane hours, and the intensity of my hourly output was off the charts. In a word, I earned every penny I made, and the fact that I made more than another ophthalmologist had nothing to do with the fact that I was a man. Funny thing though–I now make a fraction of what I once made because I don’t work as much as I once did. The intensity of my work is similar; I still do as much work per unit of time, and my ability to perform at this high level of intensity is still greater than 95% of my peers, I just work fewer hours. What are we to say about women who do what I do, work more hours than I do, and yet do less work? Is there a gender gap in pay if I make more money than they do? What are we to say about my ambitious female colleagues who work more hours than I and work at the same intensity? I’m firmly stating that they should make more than I do. Is that the reality on the ground?

In medicine we have the ability to answer this question in a very objective, non-ideological way. I don’t know if what we find will be something we can extrapolate to other jobs, especially if we find that pay is directly related to actual work done in a domain where work can be both defined and measured. But hey, it’s a start. And it’s way better than just playing emotional whack-a-mole with how we value what we all do.

 

Measuring Health Part 4: Fitness ‘F’

Health should be defined along the lines of individual human potential. An actionable definition would go something like “the ability to live at the limits of your fullest potential without any encumbrance now or in a foreseeable future”. Fitness as defined by Greg Glassman and CrossFit–work capacity across broad time and modal domains–should therefore be seen as “applied health”. As such, since fitness at any given time is an accurate measurement of one’s functional ability, our variable ‘F’ should have the heaviest weighting in our Health Index.

Let us begin our discussion of Fitness by reviewing and dispelling several myths and misconceptions about the interrelation between health and fitness. First, is it really necessary to review all of the date which now stares us in the face as far as the importance of exercise in health? By the same token, it should be clear to any sentient being that not only is what we eat important (although we must concede that this may differ across populations) but how much?  Simple carbohydrates, manufactured substances meant to cheaply replace real food, harmful (trans-) fats–it doesn’t matter what KIND of nutrition plan you follow, these are all BAD. As I write this I am recovering from surgery and I am not able to exercise. Does anyone believe that I will NOT gain useless weight if I maintain my pre-operative food intake? This part isn’t rocket science, folks. Coach Glassman says it as well as anyone: “Eat [protein] and vegetables, nuts and seeds, some fruit, little starch, and no sugar. Keep intake to levels that will support exercise but not body fat.”

Next up is the canard that fitness is simply being able to do something for a very long time. This view, promulgated and propagated by the likes of Outside Magazine and others, is not only insufficient but has been shown to be false as well. In the last couple of years there have been a number of very important studies showing a degradation of heart function in so-called “Ultra” athletes in any area. Decreased cardiac output and an increase in cardiac arrhythmias such as atrial fibrillation have been shown to be caused by excess endurance training. Endurance as the sole defining characteristic of fitness is as incomplete as would be strength. One need only look at the life expectancy of the strongest humans on record to see that strength in and of itself is not sufficient to produce health.

The question of what constitutes fitness is one that has been answered, at least insofar as health is concerned. It is not enough to be able to run or bike or swim long distances if you cannot also lift heavy things, including your own body. In the same vein one is not truly fit if one can deadlift or squat 3X his or her own bodyweight but cannot run a mile in under 15:00. One must have some measure of BOTH. As such the inescapable conclusion is that Greg Glassman is correct when he says that fitness equals work capacity across broad time and modal domains. You must be able to lift heavy things over a short distance when necessary, but also possess the ability to carry lighter things a longer way for a longer time as well. While I am not naive enough to expect that this will be accepted without spirited debate, when it comes to any measurements of health now available, all arguments to the contrary are not supportable. Glassman has won this battle.

As an aside, this should once and for all put to rest the myth of the “healthy obese”. What good is it to be happy, ‘W’ off the charts, with a stratospheric ‘M’ because all of your bloodwork is perfect, to go with your BP of 120/70, if your joints will cave under pressure decades sooner than they need to? You simply cannot escape the reality that health requires physical fitness.

If fitness can be described as “applied health”, it stands to reason that it will have the greatest contribution to our eventual Health Index. As such it is especially important that our chosen tests meet the criteria outlined in Part 1, that the measurement be as broadly accessible in all ways as possible. In the purest sense we would be able to measure an individual’s “work capacity”, the totality of his or her expression of fitness as measured by many tests covering different loads, distances traveled, and time. In CrossFit we talk of this as the “area under the curve” of a graph that records Power (lbs-ft. per second) on the X axis and Time (in minutes) on the Y. In a perfect world this would be part of every individuals ongoing pursuit of health, but alas, even in the CrossFit world where a very committed everyone records everything, this has proven to be problematic. In designing a series of tests to be applied to the broadest possible swath of humanity this ideal must yield to a more pragmatic approach.

What, then, should we measure, and how? Let us first propose a couple of general characteristics of the tasks in our test and then see what fits the bill. We should test an individual’s ability to move from one place to another under their own power–running is a fundamental human trait and should be part of our evaluation. Likewise, the ability to pick something up off the ground is a pretty basic, everyday movement and would qualify as our test of strength. Lastly, in the U.S. we have a storied heritage from the 1960′s, The Presidential Council Fitness Challenge (PCFC), in which candidates are tested on their ability to perform calisthenic exercises for both speed and endurance. It would be fitting to include something that evokes this historical element.

Once again I anticipate a vigorous debate about the particular elements we include. I’ll go first. We can reward both speed and endurance by starting with a timed run in which the result is distance traveled. The most common example of this comes from athletic programs and the military: a 12:00 timed run for distance. We live in the U.S.; the unit is yards. Pick up something heavy? Sure sounds like a deadlift to me. Any deadlift you wish, standard or sumo, will do. My bias is that a lifting belt is just fine, but except in very special circumstances (e.g. one-armed subject) I would say that straps to help you grip the bar are not a good idea, especially for the very inexperienced subject.

After giving considerable thought to the exercises and format in the original PCFC I think we should simplify the test while at the same time bringing it into the modern fitness world. In the PCFC one sought a maximum number of reps in 2:00 of pull-ups, 2:00 of sit-ups, and 2:00 of push-ups. What exactly are we testing with sit-ups that reflects true fitness? I would favor swapping out sit-ups for air squats. With a nod to CrossFit and Greg Glassman’s outsized contributions to this discussion, let’s use the format made famous by the CrossFit WOD “Cindy” with a small adjustment. To test our subject’s ability to perform bodyweight movements and move quickly, repeats of the triplet of 5 pull-ups, 10 push-ups, and 15 air squats in 6:00, counting as our result the total number of repitions achieved.

There you have it. A definition of “Health” and “Healthy”. The introduction of the three variables that go into the measurement of “Health”: traditional medical values ‘M’, emotional well-being ‘W’, and Fitness ‘F’. Next I will address how we will value each of these measures, and then ultimately how they will be combined to give us a meaningful, actionable health measurement ‘H’.

 

Measuring Health Part 3: Emotional Well-Being “W”

2016 is an Olympic year. We will hear stories, as we do in every Olympic cycle, of the extraordinary physical accomplishments of Olympians in sports which require otherworldly amounts of what we in the CrossFit world would consider “Fitness”. Strength, speed, and agility. Uncanny feats of coordination and accuracy, some performed over distances and times that are so far beyond the reach of the average human as to defy credulity. Many of these athletes, certainly the ones we will meet through the intercession of NBC, will match our expectations of the happiness that must certainly accompany such outsized achievements. Mary Lou Retton, anyone? Indeed, what we will see on our screens will fairly scream “Healthy”.

But there will be others, too. And for all of their physical fitness, expressed so dramatically for our viewing pleasure and patriotic zeal, the lack of emotional health will make it obvious to anyone that they are not healthy. Bruce Jenner, anyone?

Remember our proposed definition of “Healthy”: Able to perform in all ways at the farthest limits of one’s potential capabilities. Health is therefore the state in which no infirmity is, or can in the future, impede this ability to fulfill a potential. It takes but a moment to think of how mental illnesses such as depression, bi-polar disease, and schizophrenia can be hidden from view when examining only physical metrics. There are examples all around us. The woman who partners with a 1400 pound horse in the rigorous, physical tasks required to compete in the three-part test that is eventing, so poised and accomplished in the arena, who retreats to solitude outside the barn because she is incapable of overcoming her anxiety around people. The outdoorsman who in his manic phase performs feats of strength and endurance others can only marvel at, and then plunges into the depths of depression from which he cannot see the noon-day sun. Much more prosaic and much more common is the individual who continually increases his or her fitness by any and all measurements due to a deeply held sense of low self-worth, perhaps even self-loathing, pursuing an unreachable ideal and always falling short.

A truly universal measurement of health must include some element of emotional well-being. Let’s call it “W”. You could certainly call it the “Happiness Factor”, and some undoubtedly will. I imagine criticism directed toward this to take the form of “Happy Face” mockery. No matter. Well-Being is a better term for this part of our equation because it encompasses more than whether or not you are happy, whatever happy may mean to you, when you are measured. Are you content with your circumstances at the moment? Do you have the ability to persevere under duress?  What is the state of your relationships? A recent study of Harvard men carried out over decades found that both happiness and longevity were tied quite closely to the quantity and quality of your relationships with family and friends. Where are you in your pursuit of your goals, your dreams, and how do you feel about that? How much stress do you perceive in your life and how are you managing that? All of these make up what one might think of when we consider Well-Being.

How, then, should we go about measuring ‘W’? Remember, all of our tests should meet the dual imperatives of being accessible to pretty much everyone, and as inexpensive as possible. We could certainly use something like the classic anesthesia “smily face” pain scale, relabeling the figures, but this feels too simplistic and too momentary to be truly applicable. Our measurement should require a bit more thought than that. I have to admit here to countless hours of internet crawling trying to find a validated test of emotional well-being that has a track record in a heterogenous group that mirrors our population; most have been utilized in very specialized populations (e.g. soldiers) with a very specific research interest. Those that might apply must typically be purchased.

John Pinto is a well-regarded consultant in the world of my day job, ophthalmology. He has long had a list of clients that spans the gamut of pretty much every measurement you could think of in a group of doctors. Men and women. Young and old. Fantastically successful doctors and those that could only be described as spectacular (if unexpected) failures. As part of his quest to better understand his clients in order to better serve them, John used a questionnaire that measured emotional well-being. He found that external measurements of success such as volume of surgeries, income, and professional acclaim did not always coincide with his clients sense of success, their emotional valuation of their professional lives. These were certainly variables that mattered, but his happiest clients were not always his wealthiest, and his least happy not always those who had less. The assessment he used is the best one that I’ve been able to find, notwithstanding the fact that it is not free.

(http://psychcorp.pearsonassessments.com/HAIWEB/Cultures/en-us/Productdetail.htm?Pid=PAg511 ).

I am not wedded to the Psychcorp assessment and would happily review any alternatives. Especially if they are free! As is the case with ‘M’, our traditional health metrics like blood pressure and serum lipids, I expect a vigorous debate as to the relative weight of ‘W’ in our final Health Index. My bias is that ‘W’ is a current factor with a greater impact on health, and it should have a correspondingly greater weight in our formula. Let me start the “bidding” with double; however the final formula shakes out ‘W’ should have twice the value of ‘M’.

Mental health is an inextricable part of health. It must be included in any serious definition and measurement of health. Our variable is “Well-Being” or ‘W’.

 

Measuring Health Part 2:The Traditional Metric ‘M’

Any measurement of health must provide some sort of predictive value with regard to the likelihood that one will remain healthy. While the entire idea of screening tests is fraught with controversy–both false positives and false negatives bring with them real risks–there are still a number of health measurements in the realm of traditional medical care that have a proven value when trying to predict downstream adverse health events. The trick, of course, is to decide which ones matter, filter that group to come up with tests that are as close to universally available as possible, and then decide how much weight each particular test in the group of survivors should receive in the single cumulative metric that is then created. This measurement, call it “M”, will be one of the variables in our calculated health measurement.

Let’s start with the simplest of all medical inquiries, a medical history. More specifically, let’s include a brief family history in our calculation of M. While it is becoming increasingly easy to obtain a very accurate genetic profile that identifies very specific health risks, these genetic tests are both controversial and expensive. Until the very real societal issues of knowing your exact genome and the risks it includes have been worked out by both ethicists and elected government, we should take a simpler and more narrow approach and ask two very simple questions: Has anyone in your family died from heart disease? Has anyone in your family died from cancer? Equally simple follow-up questions (How young were they? What kind of cancer) would allow us to add risk (reduce M) or ignore the historical note since the disease is not hereditary.

From here we move to an equally spartan individual medical history. Again, just two questions in this part: Do you smoke? Do you drink alcohol? The negative effect of smoking on an individual’s health, both in the present and future tense, must be accounted for in any measurement of health. It weighs so heavily on what we know about future risks that we will see it as a negative integer in M. Too many studies to count exist pointing out the deleterious effect of excess alcohol consumption to count. One compelling study, The Eight Americas Study in PloS One, found alcoholism to be the single most powerful lifestyle variant after smoking when predicting the life expectancy of groups studied. A recently published study of Harvard men found that alcoholism was the greatest second greatest influence on the happiness of the men studied, just behind the presence of loving friendships. Unlike smoking, however, there is a volume component to alcohol consumption. Indeed, a modest intake actually INCREASES longevity, while no intake DECREASES longevity. So M will see a small bump from moderated alcohol intake, an equally small decrease for teetotalers, and a dramatic negative effect from heavy alcohol intake.

So far we’ve managed to obtain some variables underlying M through the use of simple inquiry, costing only the time it takes a subject to fill out a questionnaire. At least two other variables are as accessible and inexpensive: blood pressure (BP) and a measurement of body habits. Once upon a time you had to visit a doctor or hospital to get your blood pressure checked. Now? Heck, for $20 you can buy a reasonable accurate BP monitor and take your BP at home! Minute Clinics in pharmacies, health clinics in the workplace, and coin-operated machines in the local Mall now make it easy to get a BP without visiting a doctor. While there is ongoing controversy in the medical world about what constitutes Hypertension it is safe to say that health risks are higher with a systolic pressure >140 and a diastolic >90. Above or below these levels is our toggle for M, positive or more healthy for lower and the opposite for higher BP.

Using body habitus is controversial, mostly because the measurement that is routinely utilized is so inadequate. The Body Mass Index, or BMI, is wildly inaccurate when it is applied to the fit. 4-time winner of the CrossFit Games Rich Froning, arguably the fittest man on the planet, would be deemed obese at 5′ 10″ and roughly 195 pounds with a % body weight fat of around 4%. Ridiculous, huh? The temptation, of course, is to use % BW fat as the preferred method of measuring body composition risk, but measurements that are accurate enough to be useful tend to be very expensive and difficult to access. On the other hand, all you need to determine the waist/hip ratio is an 89 cent paper tape measure and a calculator. A waist/hip ratio of >1.0 is associated with an increased risk to health from myriad metabolic illnesses including diabetes and heart disease, especially in men. Greater health in M for measurements under 1.0, and progressively less as that number increases.

It is impossible to utilize all that modern medicine has to offer when it comes to measuring health without spending a little bit of money. Several simple blood tests can be obtained with or without the input of a physician. The presence or control of diabetes can be ascertained with a HbA1c and a fasting glucose level. In the presence of a normal HbA1c an elevated fasting glucose may indicate a problem with insulin sensitivity, so it is important to include both. While it is far from settled whether or not it is cholesterol itself which is responsible for heart disease there is simply too much evidence that serum lipids can help predict cardiac events to leave them out of any health measurement. Our basic health index should therefore include the basic measurement of total cholesterol, HDL, LDL, and triglycerides, and M should reflect the negative effect of elevated Total Cholesterol, LDL and triglycerides and the positive effect of a high HDL.

How should we put all of these together to come up with our traditional health variable, M? This one is fairly simple; there are a number of “risk factor” measurements online that are good models. I envision a rather simple form on which one would add up weighted values for the measurements above, arriving at a straight forward mathematical sum. The final formula is being developed with the assistance of cardiologists at my medical school alma mater, the University of Vermont.

 

Measuring Health Part 1: Rationale, Definitions and Background

In 2010 I had a bit of an epiphany. At the time I was a bit over 4 years into my CrossFit journey. It became painfully obvious that the genius that Greg Glassman had applied to physical fitness–a definition of fitness that invited measurement, and in turn the critical evaluation of the efficacy of different fitness programs–was nowhere to be seen in the fields of health and medicine. Indeed, an informal survey carried out in person by my friend Dr. Kathy Weesner and I made it clear that the majority of physicians couldn’t come up with an actionable definition for health despite the fact that we are charged as professionals with helping our patients become “healthy”.

At around this time Coach Glassman published a theory that health was precisely defined as “fitness over time”. In CrossFit Fitness is work capacity across broad time and modal domains. Fitness over years could be depicted as a 3-dimensional graph with axes time, work, and years. As I thought about his thesis, that a backward looking view of an individual’s fitness as defined by CrossFit was a proxy for health, I found myself with the feeling that the definition was intriguing but incomplete. In response I took it upon myself to develop a broader definition of health, one in which fitness was a primary, but not the sole marker or metric. That April I submitted a draft of my definition of health along with a new, broader base of proposed tests that would generate the data that could be used to measure an individual’s health. Over the years it has become clear that Greg and I are more in agreement than not, but a key CrossFit employee at the time had a fundamental disagreement with my thesis, and consequently the article was rejected by the CrossFit Journal. I published my draft here on Random Thoughts later that year.

For almost 6 years I have been mulling this over, threatening to return to the problem of defining and then measuring health in much the same way that Coach Glassman defined and then measured fitness. The quest was derailed by all of the usual time sinks of mid-life. In a humorous irony, the majority of my real, true free time was consumed by the task of helping my sons run their CrossFit Affiliate gym. It is time, now, for me to finish what I started in 2010 if for no other reason than to establish the provenance of the theory.

In order to effectively address any issue whatsoever it is first necessary to have a clear understanding of the definition of terms that may be important to the discussion. I made a similar statement in one of my earliest posts on the importance of understanding the difference between health, healthcare delivery (medicine), and healthcare finance. Here again I fall back on the genius of Greg Glassman: just as one cannot evaluate either fitness or fitness programs without first defining what it is that you are discussing when you say “fitness”, one must first have a definition of “health” before one can begin to measure it. What exactly is “health”? What does it mean to be healthy?

Let’s return for a moment to the physician survey that Dr. Weesner and I did in early 2010. During face-to-face meetings we asked groups of physician colleagues to give us their definition of “health” or “healthy”. The majority of the answers couldn’t have been less inspiring or more disappointing. Indeed, the most common answer was “I don’t know”! Not very comforting, that. The second most common answer was as anticipated: health is the absence of disease. In our American medical system of “disease care” this is an understandable response, of course, but as the basis for the development of a true measurement of “health” it is obvious on its face that this definition has never translated into any actionable metric. Why? Well for one it fails entirely to take into account the very real importance of “fitness”, the expression of health. More specifically, like fitness as a proxy for health, “absence of disease” also fails to address a key requirement for any measurement of health: there is no forward-looking predictive value to simply stating that you have no disease today.

A measurable, actionable definition of health is one that takes into account the degree that disease is present or absent at any given time. It must address physical fitness; to be without a named disease but to be unable to walk up a flight of stairs should not ever be construed as “healthy”. Of equal importance to these factors, any definition of “health” that will generate a meaningful metric must have a predictive value. Your Health Value should provide some measurement of your future likelihood of being disease free and fit. Our little survey of our physician peers did produce just such definitions. Given these requirements I propose that the following are actionable definitions that can be used in healthcare to create measurements in precisely the same way that Greg Glassman’s definition of fitness is used in that realm:

HEALTH: The state in which no infirmity of any kind suppresses, or has the possibility of suppressing the ability to express the full extant of an individual’s potential capacities.

HEALTHY: Able to perform in all ways at the farthest limits of one’s potential capabilities.

With these definitions we can move on to developing a “health metric”, one that can not only assess our present degree of health, but can also predict to some degree our ability to remain healthy. I believe this metric has three component parts: physical fitness as defined by CrossFit, well-being or emotional health, and a factor that addresses traditional or standard medical factors such as blood pressure, cholesterol, genetics and the like. Furthermore, I predict that these three variables are as evident and as logical for “health” as Coach Glassman’s definition is for fitness.

One can have an otherworldly degree of fitness as defined by CrossFit, but what good is it to have a 500 pound deadlift and the ability to run a 4:00 mile if your physical achievement is driven by self-loathing? By the same token, in addition to having a normal result in every conceivable medical test your countenance is as sunny as an 8 year old on vacation, your disposition so Zen-like that the Dali Lama himself wishes he were as happy and serene, but you can’t walk a mile. This surely cannot equal healthy. You are a world-champion long-distance runner, and yet you drop dead from a heart attack, unaware that you have a cholesterol of 800. Fit for sure, but hardly healthy. Fitness, well being, and modern health metrics all have a role in an actionable Health Measurement. Vigorous debate will be necessary to parse the relative weight given to each of these factors, but as I first proposed and wrote in April 2010,all three are clearly necessary components.

In short order I will offer follow-up posts that delve more deeply into each of these three components. I will include suggestions for what and how to measure them. I will conclude with a re-statement of my proposal for a single measurement of health with my suggestion as to the relative weight of the three variables, hopefully inciting the above-mentioned vigorous debate. By doing so I wish to document the originality and timeline of my proposal, acknowledge the intellectual debt owed to Greg Glassman for inspiring me, and reassert my contention that healthcare cannot reach its fullest potential without first agreeing on both a definition of health and how to measure it.

 

 

 

Leading Thoughts

Twice a year I travel for my day job as an ophthalmologist to a large trade show dedicated to a combination of continuing education and commerce. Part of what I do when I am attending these meetings is provide services as a “leader” to the companies that sell stuff to people like me. The term that is used to describe me in this setting is a “Key Opinion Leader”, or KOL.

I used to think this was very impressive, to be a KOL. Frankly, I was very impressed with myself having “achieved” such a presumably lofty status. I’m not so sure about that anymore. Oh sure, I’m still plenty impressed with myself–I am my own biggest fan, and for whatever it’s worth you should be your own biggest fan, too–but as I think a bit more about what it really means to be a KOL it becomes something a bit more of, I dunno, less I guess.

To be a KOL one must certainly be seen by some kind of audience that is moved by your opinion; I get that, and I still get that the mere fact that one has reached a stage in career or status where your opinion is sought is a kind of stamp of “OK’ness”. No question about it, that’s flattering. Dig a little deeper, though, and you begin to realize that perhaps the only reason why your opinion is out there at all in its quest to be key is because it aligns with the worldview of someone who is telling folks what you think. With few exceptions, even in our modern day of enhanced access for the everyman to tell you what he or she thinks, your opinion is only pushed out there if it is key to someone else’s commercial well-being.

Looked at through that prism at least, it’s a little less impressive to be called a KOL, isn’t it?

The goal all along for me here, in my day job, and pretty much everywhere, is to somehow be a Key Thought Leader. To trade in a marketplace of ideas, hopefully contributing at least some degree of refinement to another’s true genius if I’m unable to generate any true genius of my own. This realization, too slow in coming to be called an epiphany but rather disruptive to my worldview nonetheless, has forced me to re-think a big part of my place in the world of ophthalmology.

Are you interested in what I think only because it aligns with your established objectives? Well then, you’d like me to be a KOL for you, someone who will knowingly or unwittingly move only your needle and not mine. That’s called commerce, and it’s a perfectly legitimate exchange for which we can negotiate value.

Or rather are you interested in what I think while you are in the process of creating those objectives? Ah, now, that’s quite a different story, isn’t it? In this case you are really and truly interested in what I actually think as something that has stand-alone value because you’ve yet to even determine what the dial looks like on your meter, yet to even know what moving the needle looks like. In effect what you have done is put my thoughts out in front of your product or service. In the end I might not actually have what it takes to be one, but if do I know where a thought leader stands.

Out front.

 

CPOE, An Epic Misadventure: Update

It was the missed workouts that finally got me. That, and the fact that I was not getting to the gym after surgery because I had to RE-DO orders I’d already entered. That caused me to crack. Why I was missing workouts.

Computer Physician Order Entry went live in December at one of the surgery centers where I operate. As is my lifelong pattern, once I decided that I would remain “in the game” at that particular center I simply viewed CPOE as a new set of rules to learn, a new challenge to conquer (however involuntarily), a new game to win. Maybe it’s my first-born status, or perhaps just the result of an upbringing where everything was a contest to be won, but I learned the ins and outs of the system in less than a month. My office staff, the surgery center staff, and I then went about the task of generating a process that would minimize the depth of the “time sink” into which CPOE had tossed me. On days when I was only operating out of one OR I was only down about 2:00 for every laser done and pretty much dormie on the rest of the cases because I could enter orders during pre-existing “dead air” time.

A funny thing happened on the way to happily ever after: patients we knew were scheduled were failing to show up on the OR schedule in time for me to enter their orders, and orders I’d entered started to turn up missing. That’s right…I had sucked it up, learned the system and taken my paddling like a good plebe, and the system insisted on inflicting this random form of unearned pain. The first time it happened I just re-did the orders. The second time I went off. My “Doc Whisperer” watched me put in every order for this coming week, documenting my status as a quick and accurate little Dr. Lemming. Patient lists and screen shots document my every order. All of this is to no avail. Once again, orders I placed for cases to be done tomorrow do not exist in any part of the Epic wasteland that is the EMR at World Class Hospital.

Is anybody paying attention to this? Does anybody care?!

Not only have I been forced to take time out of my day to do something I did not need to do previously, to perform acts of documentation that once took me a fraction of the time it now takes electronically, but these impositions are now compounded by the fact that work I’ve done is nowhere to be found. Lost in the ether, in a world that no longer even uses ether. This is maddening. Is there even a “Happy enough, ever after” with EMR?

Sadly, I’m afraid this is to be continued…

Evidence Based Medicine? Preferred Practice Patterns? You Are Behind the Times

If you practice Evidence-Based Medicine (EBM), or religiously follow a Preferred Practice Pattern (PPF) such as one published in a white paper by a specialty society or organization, you and your patients can be assured of one very important fact: you are providing care that is neither up to date nor care that can be described as “Best Practices”.

You might be increasing the likelihood that your patient’s medical insurance will pay for their care, in part because insurance companies have already figured out how to make money on older treatments and protocols. I guess you can feel good about that, or at least feel good that your staff won’t be forced to fill out all of those appeals forms when state of the art care is denied. So you’ve got that going for you. What used to be considered good enough care might feel better to you if your patient isn’t avoiding the older treatment because of payment issues like they do with the newer. Adherence to some care is better than non-adherence to “Best Practices”, right?

There are certainly some of you out there in doctor land who think that citing EBM or fidelity to a PPP will inoculate you from medical malpractice tort. Sadly, nothing is further from the truth. Not only will your adversary nullify a PPP by citing a “Standard of Care” that is up to the minute when it comes to how to treat literally anything (though as we know “Standard of Care” is neither Best Practices nor EBM), but there are so many instances of EBM not allowed as evidence at trial that it’s nearly useless to try. Even the strongest body of research can be nullified at trial by introducing a single non-peer reviewed study with opposite findings to a naive jury of lay people.

EBM and PPP are the result of years of studies that were launched based on prevailing thoughts at that time. They are subject not only to what is fashionable among the medical intelligentsia, but also what is fundable. The potential ROI from the industry side of the medical pie has a direct impact on not only what is studied but what treatments are available at all. A company with a blockbuster drug that has years of patent protection remaining will be unlikely to support the study and use of its own competitor or successor until under the gun of generic competition. Governmental funding of maladies without either a popular champion or sympathetic victim is slow in coming, if it arrives at all. Both EBM and PPP enter the public arena only after months or years of time spent “in committee” with old data.

At the end of the clinic day both EBM and various PPP’s suffer from being out of date on the day they are published. Because of this they create at least as many problems as they attempt to solve. In addition to providing ammunition to insurers all too happy to avoid paying for newer, more effective care that might be more expensive, the wide dissemination of various articles on EBM or PPP’s can sow confusion and doubt in the minds of those patients most in need of Best Practices, particularly those with severe or complex problems.

Any specialty in medicine could provide examples, but since I’m an eye doc let me offer one that illustrates most of the nuances involved. We’ve long known that elevated tear osmolarity (salt content) is a component of dry eye (DES). Prior to 2009 testing the osmolarity of human tears required a complex, time-consuming process that also suffered from the twin-blade cut of being both expensive and not covered by any insurance plans. Consequently the use of tear osmolarity as a core diagnostic test in the care of DES was pretty much a non-starter.

In 2009 TearLab introduced a much simpler, much less expensive test that could be done in the course of a regular office visit, and in 2010 the company received a waiver from the FDA which allowed doctors to use the test in an office setting without being certified as a clinical laboratory. Approval for payment by insurance companies, including Medicare, came shortly thereafter. As with any new test that becomes widely available it took a couple of years for clinicians to figure out the full extent of the meaning and application of the results. The short version of this part of the story is that tear osmolarity testing has become an integral part in both the diagnostic work-up and ongoing follow-up of DES patients in any advanced DES clinic due to its clear therapeutic value. It also fits into the prevailing financial model and patient mindset in which diagnostic testing is an insurance covered benefit.

What’s the problem then? Our largest professional organization, the American Association of Ophthalmology (AAO) publishes a series of PPP’s addressing many common entities in eye care, and DES is one of them. The latest version was published in 2013 after more than a year of discussion in committee based on practice patterns  and publications from 2011 when Tear Osmolarity was not yet in widespread use. The PPP made much of the fact that this at the time new test had not yet been widely adopted and that there was still some discussion about its true clinical worth. BOOM! In rushed a Medicare administrator in January 2015 with a proposal to withdraw payment for this “non-essential” test of “unproven” value.

The problem, of course, is that Tear Osmolarity is now widely and quite rightly accepted as a part of today’s “Best Practices” of DES care. Ironically, the use of Tear Osmolarity is actually an example of EBM, but that evidence has emerged subsequent to the initiation of the PPP process. Removing insurance payments will erect a barrier between patients and their best chance at treating their disease.

Thought leaders in my field as well as other, more nimble professional organizations than the AAO have offered assistance to TearLab to prevent a change in the insurance payment for tear osmolarity testing. Both eye doctors and their patients will likely survive this misguided attack on an extremely useful technology. It does make one wonder how many other instances exist where a seemingly good idea (PPP, EBM) is misused in the eternal battle between those who provide medical care and those who are charged with allocating the monies used to pay for that care. Funny, isn’t it, how the medical powers that be, professional organizations like the AAO, are always a bit behind the times, and the payment powers that be (and often plaintiff’s attorneys) use that to their advantage?

Preferred Practice Patterns and many examples of Evidence Based Medicine need to come with an expiration date, or at least a warning that using them cannot be construed as either “Best Practices” or cutting edge. Even at the time they are first published.

 

 

Another Epic Misadventure II: CPOE Goes Live

Boy oh boy, was it crowded in the Ambulatory Surgery Center on Tuesday. The place was crawling with techie types in outfits that looked an awful lot like Walmart uniforms, bumping into a cadre of Suits who were there doing…well…I’m not sure what the Suits were doing. They were mostly in the way of productive people doing useful stuff. My day started off with an almost immediate case of miss met expectations as the tech support person who’d promised she would be there to guide me on Day One, since she’d spent so much time personally preparing both me and Epic for our first CPOE date, was nowhere to be found. Sadly, it was apparent that the otherwise quite lovely and very talented woman who was there instead, let’s call her my “Doc Minder”, was going to need some catching up on what had gone before, despite her assurances that she’d been fully prepared by Top Tech, the Doctor Whisperer.

“Dr. White, I was led to believe that all of your pre-op orders have already been entered into the system.” Uh oh. I spent 2 hours the prior Thursday afternoon with the head honcho “Doctor Whisperer” entering all of those orders. My first thought was “why don’t you know this already, since you have access to all of my charts today and could have looked?”, followed by “How is it possible that you didn’t look so that you could head off any problems before I got here?” What I said was: “they’d better be.” Ugh. Was this a sign? Given my state of mind heading into this day you can imagine the kinds of thoughts going through my head when the first mobile computer brought to the OR for my use didn’t work. Like, not at all. Rough start.

Turns out that I have some history with these mobile computers and World Class Hospital. They were originally called “Computers on Wheels”, which I instantly renamed “COWs”. Makes sense, right? Easy. Cute. Man, did that get shot down fast. Something about cultural sensitivity, or, really, I have no idea, but calling them a “COW” was verboten. I’ve been using that “Lipstick on a Pig” analogy when discussing everyone’s sensitivity to my unhappiness about Epic in general and CPOE in particular. My new four-wheeled “Pig” arrived and to my surprise things actually started to look up. The computer worked so well that I found myself calling it “Babe”.

Having all of my pre-op orders already in the system turned out to be a critical step in giving the day a fighting chance to succeed. All of the orders had, indeed, successfully made their way from the chart to the nurses in pre-op, and from there to what seemed to be a fairly regular implementation for my surgical patients. This is important because patient preparation starts well before I arrive in the morning for surgical patients, and begins for lasers while I am toiling away in the OR. The fact that it took some 2 hours to get these orders entered last week (total of 19 cases), a process that had heretofore occurred entirely without needing me to engage, was momentarily lost in the euphoria that I didn’t need to put out any pre-op order fires (hmmm…would that be a Pig roast? Sorry.).

Although this was day one for implementing CPOE in this particular ASC, the fact that the main campus of World Class Hospital, as well as several other WCH ASC’s had already made the transition, meant I really wasn’t truly a guinea pig (too much?). Standard order sets already existed for eye surgery, and it was relatively simple for the behind-the-scenes cave-dwellers to create both order sets specific for our ASC as well as templates for my op notes (more on the cave-dwellers in Part III). As I noted in Part I our turnover time in a single OR for cataract surgery is ~7:00. With some gentle and kind prompting from my “Doc Minder” I was easily able to do everything “Babe” asked of me between cases in addition to my usual duties (chat with the family, etc.). My kindly “DM” agreed that “Babe” would probably slow me down on busier days when I hop between two OR’s, but for today at least there was no time suck for cataract surgery. I even did one fewer dictation because the “Doctor Whisperer” had helped me create a template for “Complex Cataract Surgery”.

I may or may not have said “That’s some Pig!” out loud.

Alas, everyone involved knew that the happiness was fated to be short-lived. The efficiency bar is so high when we do ophthalmic lasers that there was simply no way that “Babe” was going to be able to keep up; he was back to being a Pig as soon he moseyed over to the laserium. Because every patient’s chart must be completed before they are allowed to leave the facility–images of armed guards wearing Google Glass running Epic and manning the exits filled my head–I had to attend to all of “Babe’s” needs before starting with the next patient. This process took 1.5-2X as long as usual, increasing the time it took me to do my lasers and making it a bit less convenient for my patients.

Then everything went off the rails.

Computers are computers, and software is software. They are both heroes or goats depending on how well they fulfill whatever task they are assigned, but they are prisoners of the people who operate them. The plan that all stakeholders had agreed on was for ASC staff to schedule all surgeries booked by SkyVision as of Monday by the time I finished lasers on Tuesday. I would then do all of the pre-op ordering for the following week before leaving for the day. Under the best of circumstances every minute I spend doing this is both a time and a happiness suck for me because, as I noted above, prior to CPOE I didn’t have to do ANY of it. Naturally, more than half of next week’s patients had not yet been entered into the system making it necessary to not only stick around to pet my Pig (I know) but also wait for the overworked WCH staff to complete their tasks. All in all it cost me about an hour, stealing my workout and rushing my lunch so that I could be in the office and start clinic without making my patients wait.

What’s the take-home? Tune in for Part III. For the moment let me just say…that’ll do Pig, that’ll do.

Another Epic Misadventure: Interlude

It’s really quite flattering, all the attention. The cynic would say that it’s all really just an attempt to keep my business, and I’m sure there’s a bit of that going on. After all, even though my surgical volume is down since my I left my original practice to start SkyVision, I still do a rather high volume of surgery at a very low cost/case. Still, the sheer number of folks, not to mention who they are, who have gone out of their way to try to make my CPOE transition go smoothly is impossible to ignore. Folks really do seem to be sincerely concerned about me as a person, someone they know and have come to like enough over many years, not just a surgeon bringing business. If only it wasn’t all so…so…useless.

I know, I know, I sound a bit petulant, but I’ve watched this movie before. I know how it ends. It may sound somewhat ungrateful, what with the head of physician training, Chief of Surgery, and Head of Outpatient Surgery and local administrator among those taking an open interest in my journey. It’s just that the story only ends one way, with a great big time suck that undoes a decade and a half of ever increasing efficiency (and with it patient satisfaction) and the associated assault on my emotional well-being.

All these people walking around with lipstick thinking…hoping…maybe just one more coat and he’ll smile when the pig kisses him.

 

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