By JAAN SIDOROV

On occasion, your correspondent fights the northeast’s dreary weekend winter evenings with a dram of spirituous liquor like Macallan 12. Unlocked with a small splash of water and a single ice cube, a generous ounce of that pungent cinnamon leathery elixir turns the cold into cozy.

So naturally, your correspondent relies on spouse to help keep a therapeutic stock available.  Both yours truly and spouse run errands and it shouldn’t be too hard for either to be proactive by periodically checking supplies, buying some Macallan when necessary and avoiding the unhappiness of a dispirited and cold author.

Unfortunately,  spouse doesn’t always see it that way.

Welcome to the complicated world of behavioral economics. It tells us that it’s difficult for persons to expend effort today to reduce the tomorrow’s risk of an unlikely event. It’s why many persons chose to not take or pay for medications today to reduce the distant likelihood of disability or early death.  There’s more on the topic here.

This also explains why persons don’t do a good job getting a flu shot for themselves or their loved ones. Check out this interesting information from athenahealth. According to their pooled electronic health record (EHR) data, 2.5% of children without a flu shot came down with the flu, versus only 0.9% of those who got the shot.  While getting a shot reduced the relative risk of coming down with the disease by approximately two thirds, the vast majority of kids who went without immunization (97.5%) did OK.  Data from the CDC in adults reflects the same kind of numbers: 80% of persons in the U.S. do not come down with the flu in the course of the year.

How can the population health and care management community leverage behavioral economics to increase immunization rates?

Continue reading “Behavioral Economics and Influenza Immunization”

By Jaan Sidorov, MD

Back in the early 1900s, Albert Einstein had a problem. Sophisticated instruments were unexpectedly showing that the measured speed of light was the same if the source or the observer were moving or stationary.  In other words, if one were moving away from a bullet, it should look (to the observer) that the bullet had slowed down. Light’s refusal to conform to the prevailing common sense about how the universe should work ultimately forced Einstein in 1905 to conclude that, in order for the speed of light to be constant, time and mass had to be elastic. This ushered in a new field of relativity mathematics that is still being used to plumb the known universe’s Music of the Spheres.

While the controversies surrounding the effectiveness of ”population health management” (PHM) are quite minor compared to Einstein’s Theory of Relativity, the comparison is still instructive. The similar mismatch between what is assumed, what is observed and how to mathematically describe the ultimate truth also underlies Al Lewis’ book, Why Nobody Believes the Numbers.  In other words, we assume care management-based patient coaching always yields savings, increasingly sophisticated observations often fail to show it and, as a result, we need new mathematics to reconcile what we assume and what we observe.

Interestingly, author Al Lewis of the Disease Management Purchasing Consortium never doubts the speed of light or that high quality PHM ultimately can save money. While PHM vendors may interpret his long history of skepticism as some sort of shakedown, Al’s passion is clearly evident: Why Nobody Believes the Numbers is ultimately driven by a search for the truth. For that he deserves a lot of credit.

Continue reading “Why Everybody Should Read “Why Nobody Believes the Numbers””