HealthLawProf Blog

Continued Skepticism re "Wellness Programs"

A big part of the job of being a Health Law Prof is to help students understand the intersection of the many legal specialties that comprise the big tent of "Health Law."  Wellness Programs are a good way of doing that because one of the key features of the Affordable Care Act is the flexibility it provides employers to link the cost their employees pay for health insurance with the individual employee's participation in a company sponsored "welleness program."  Here's an article I wrote explaining how PPACA went about doing that.  Here's a link to the Department of Labor's summary of the current rules and a good overview by the law firm Nixon-Peabody.  This report from Rand is an overview of what these programs are and how companies have increasingly fallen in love with them.   At this point just about every insurance company is offering to create one--here's some information from Aetna.  

The problem is, there's very little evidence that these programs do anything to demonstrably improve health (whatever that may mean).  And quite a bit that they may promote many different kinds of social injustice.

 This article in the Harvard Business Review does a great job describing the kinds of programs that are now descending on employees and how they are creating disatsifaction without any scientifically supportable improvement in "health."

There is also a growing literature suggesting that these programs may disproportionately discourage workers who employers aren't that unhappy to see go--but might not legally be able to actually fire.  Here is some very interesting testimony by Jennifer Mathis Director of Programs, Bazelon Center for Mental Health Law
On Behalf of the Consortium of Citizens with Disabilities.

Michelle Mello at Harvard has coined the term "life-style discrimination" to describe the ways Wellness Programs may target individuals employers may perceive as undesirable because they are obese, smoke or have other non-job related characteristics.

Studying Wellness Programs--and the issues they raise--can be an accessible entry point for students who can easily be intimated by the regulatory complexity of health law and can also be a bridge to understanding how fundamentally the Affordable Care Act has affected the way health care will be paid for and delivered as our students begin their careers in advising those struggling to implement these new regulations.

 

 

 

 

Dartmouth Institute Publishes Atlas of Medicare Part D Areal Variations

The Dartmouth Institute has just published its Atlas of areal differences in utilization of prescription drugs by Medicare Part D recipients.  The Atlas--unsurprisingly but disturbingly--details significant differences.  Pharmaceutical interventions are classified as effective, discretionary (where there is diagnostic or therapeutic uncertainty), and likely to be harmful in the patient population at issue.  A caveat, however, is that the report measured prescriptions filled and thus may underestimate actual provider behavior.

An initial variation involved sheer numbers of prescriptions, with a high average of 63 per year in Miami and a low average of 39 per year in Colorado (overall, the average was 49 standardized 30 day prescriptions filled per year per Part D beneficiary).  In general, the Mountain West had the lowest prescription average and the Rust Belt and Appalachian states the highest.  These differences could not be explained primarily by overall burden of disease but instead appear to reflect variations in provider prescribing practices.  For example, the American Heart Association recommends use of beta blockers in heart attack patients for three years post-attack.  However, rates of prescriptions for these drugs in the first six months ranged from highs of 94% to lows of under 68%, and persistence in the next six months was only slightly lower, ranging from highs of 92% to lows of under 68%.  Variations in statin use were even greater, ranging from just over 91% in Ogden, Utah, to below 45% in Abilene, Texas.  Interestingly, there was little correlation between effective use of beta blockers and effective use of statins.

The other two therapies analyzed in the Atlas were treatment of diabetes and treatment of patients with fragility fractures.  Diabetic patients fared somewhat better than heart attack patients, albeit still with significant variations.  Osteoporotic patients, however, fared dismally, receiving a high of 28% and a low of 7% with filled prescriptions for drug to combat osteoporosis after fragility fractures in sites other than the hip (such treatment is recommended to decrease the risk of future hip fractures).

Most interesting of all, there was no correlation between drug expenditures and measures of effective care.  In other words, patients in some regions may be spending a great deal on their drugs (paid for under Part D), but receiving far less benefit that patients in other regions who spend a great deal less.

[LPF]

 

Lessons About Medical Error Learned Watching I Love Lucy.

It's no secret that the night staff of a hospital are both over-worked and over-tired.   Nor is it any secret that many medical errors occur at night.  But until we look at the totality of the human factors making up medical error, we are unlikely to make significant headway in addressing it.  A review of the literature suggests that the reason isn't a lack of understanding about the factors which cause human errors, it's concern about the cost of addressing them.

The authors of a recent study in the Journal of the American Medical Association titled, Relationship Between Occurrence of Surgical Complications and Hospital Finances conclude that not only aren’t hospitals doing all they can to reduce medical errors, they actually have no financial incentives to do so.  

I'd suggest that financial incentives are behind ineffective efforts to address the issues of staff over-work and the inherent dangers of intermittent shift work.

 It's no surprise that another widely reported recent study has found that reductions in the hours medical residents work has not resulted in increased patient safety.   The study authors conclude that this is because although residents worked less hours, they did not have a reduced work load.  So, like Lucille Ball in the chocolate factory, the trying to cram more work in the same amount of time increased resident error.  

The findings of that study need to be seen in combination with the vast amount of scientific research on the increase in errors caused during night shifts.   A recent study of nurses working night shifts showed that “on average, the error rate increase 6% after the second night shift in a row, 17% after the third successive night shift and an astounding 35% higher on the fourth night shift.”  See also this and this article by the Joint Commission.  Although no one disputes the reality that human beings perform best in the day time, every hospital must be fully staffed 24 hours a day.  The information is both anecdotal and research based.   But no one seems to be listening.

 An article in Nursing World  does an excellent job of using available research to describe the scope of the problem, but implies that it can be effectively addressed by nurses proactively paying more attention to their sleep patterns.  It advises nurses working the night shift to “take control of sleep.”  In fact the NSF “recommends that nurses wear wrap around sunglasses when driving home so the body is less aware that it is daylight.”    This advice ignores the scientific reality that humans are not as effective or alert at night as they are in the day time.  Nor does it consider the human reality that medical shift workers do not have the luxury of using their days to sleep.  Like everyone else living in a diurnal world, they must cope with the tasks of family and daily living.

 Techniques like wearing dark glasses may work in making a shift to a new rhythm--like travelling to another time zone.   But given the unlikeliness of medical staff to convert to a  permanent change in their circadian rhthyms, as if they were working in a submarine (and that doesn’t work very well either)  the answer is to address the reality that humans are less effective at recognizing problems and completing complex tasks at night.   But that’s not where the problem solving is going. 

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