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Showing posts with label American Journal of Managed Care. Show all posts
Showing posts with label American Journal of Managed Care. Show all posts

Patient Perceptions of Risk, Media Innumeracy and The Enduring Futility of the Annual Check Up

Today the DMCB caught up on some reading of the medical literature. 

The first article is an example of how researchers' risk thresholds don't match patient perceptions.

The second article is an example of media innumeracy

The third article is likely to be ignored by everyone.

1. Should Cardiac Telemetry Not Be Used for Patients with Only a Three Percent Chance of a Problem?

Suppose, asks the Disease Management Care Blog, your elder family member mysteriously passed out and was seriously injured?  You would wonder if a cardiac problem could be the cause. While the likelihood of that is typically low, even the small chance of something being "wrong with the heart" is enough to make patients and their families worry.

But suppose the chance of a heart problem was only.... 10%?  Or 5%? Or 1%?    

Once a decision is made to admit a patient with loss of consciousness to a hospital, doctors typically arrange for "cardiac telemetry." That broadcasts the electrocardiogram on an ongoing basis to a monitoring unit.  Unfortunately, however, the demand for a hospital telemetry "slots" is high and the monitoring requires additional personnel.

As a result, clinical guidelines like these have been developed.  They define high risk patients who warrant telemetry and low risk patients who don't.  For example, patients who have had a recent heart attack are vulnerable to unstable heart rhythms, while patients with stable atrial fibrillation can probably be safely managed off telemetry. Patients who have passed out and are stable on telemetry after 3 days are considered low risk.

Enter Evan Benjamin and colleagues who applied the guidelines to a retrospective audit of how telemetry was used for 501 consecutive patients at four Massachusetts medical centers.  Since patients could transition from high to low risk as the days passed, the unit of measure was "patient-days" (if two patients were each on telemetry for 4 days, that yielded eight "patient-days"). 

38% of the total 1559 patient-days were low risk. Among the high risk patients, a heart problem was detected in 21 out of 100 patient-days.  In the low risk patients, a problem was detected in 3 out of 100 patient days. 

The authors argue that these data show that better enforcement of guidelines that restrict access to telemetry would result in more cost-effective care.  The DMCB isn't so sure, because it intuitively thinks most patients and doctors would consider a 3% (3 out of 100 patient-days) a low enough threshold to warrant monitoring.

Good luck, says the DMCB, enforcing that. 

2. Just How Bad is the Link Between Red Meat and Diabetes?

"Yikes!" said the DMCB after listening to this NPR broadcast and reading this WSJ article.  It appears that increasing red meat consumption increased the risk of diabetes among previously healthy people "by 50%!"  While its first impulse was to throw away those frozen strip steaks, the DMCB took a deep breath and did something the reporters neglected to do: read the article.  It turns out that the approximate risks went from approximately 0.2% to 0.3%.  More than 99% of the carnivores did fine.  Once again, the reporters failed to discern that while the relative risk was high, while the absolute risk was vanishingly low.

3. A Reminder that the Annual Check Up is a Waste of Time and Money

After reviewing 16 studies involving over 180,000 participants, the authors in this JAMA study concluded:

.... general health checks were not associated with lower rates of mortality or morbidity.  However, general health check may increase the number of diagnoses and the use of medications.

The irony is that The White House and CMS profess to being evidence-based while remaining simultaneously committed to "wellness checks."

Image from Wikipedia

Doubling Down on Accountable Care Organizations

What happens if CMS' grand experiment in ACOs fails?

There are some good reasons to believe that it could happen:

  • Preliminary results are spotty at best

  • Saving money doesn't mean making a profit

  • inefficiencies, technology shortfalls, culture barriers and inertia abound;

  • bending the curve for sick populations is hard;

  • physician and patient behavior change is difficult;

  • last but not least, it was tried before

  • But note that the Population Health Blog is not asking whether ACOs are going to fail.  That jury is still out.  The question is IF they fail, what happens next?

    While the Population Health Blog Spouse would common-sensically expect the contracts to be cancelled while our national leaders look for the next good idea, the PHB doesn't expect that to happen.  For an example of the thinking behind a far more likely scenario, check out this article by RWJF Advisor and former Health Affairs Editor Susan Dentzer.

    Despite some early bad news, Ms. Dentzer exclaims that she's not about to let any inconvenient facts get in the way of further "improvement" of the ACO model. 

    Among her ideas for doubling down and expanding it:

    1. Tying discounts on Part B premiums "or other financial incentives" to get Medicare beneficiaries to agree to a more narrow network.

    And why, asks the PHB is this any different than managed care?  Or maybe ACOs are destined to be HMOs in "drag!"

    2. Tying discounts or other financial incentives to the use, whenever possible, of the lowest level of care.

    This is another long-used managed care tool that can justify keeping patients out of the hospital.  And the PHB would vote for RuPaul as the ACO National Medical Director. 

    3. Expand the use of multi-disciplinary team-based care for persons with chronic illness.

    A good idea, but teaming of medical home can succeed quite nicely outside of ACOs.

    Hey, says the PHB, if CMS can pull the rug out from under Medicare Health Support, it should be able to do it to ACOs.  Fair is fair.

    Image from Wikipedia

    More JAMA Drama: The Medical Home Reduces Costs, But Only For High Risk Patients

    A medical home
    candidate?
    Just when the Population Health Blog decided to take a break from all the JAMA drama, along comes this study "Medical Homes and Cost and Utilization Among High-Risk Patients" that was just published in American Journal of Managed Care (AJMC).

    It cannot resist.

    As readers will recall, the offending JAMA article described how a large three year-long Patient Centered Medical Home (PCMH) multi-payer pilot involving approximately 64,000 patients failed to reduce health care costs or increase quality. The pilot program was called the "Chronic Care Initiative" (CCI), and was the brainchild of then Governor Rendell's reform-minded "Prescription for Pennsylvania."

    In the AMJC study, 6940 "intervention" patients with a) at least 3 months of primary care physician follow-up, plus b) at least 6 months of assignment to one of the medical home practices were retrospectively compared to 6940 similar "control" patients from a single non-participating practice. The control patients were matched using "DxCG" risk adjustment software* that was combined with propensity matching.

    Pediatric practices were excluded, as were outlier patients with more than $100,000 in medical expenses.

    In addition to looking at those patients, the top 10% of risk DxCG patients from the medical home (654 patients) were compared to matched high-risk non-medical home practices (734 patients). 

    The analysis was complicated by the later attainment of NCQA medical home recognition among some clinics that were taking some of the control patients.  This limited the pool of patients in the 3rd year to just over a thousand in both arms, and just over 100 patients in the high risk groups.

    Results?

    There was no difference in the evolution of health care costs among all patients included in the analysis.  This confirmed the JAMA drama.

    But......

    For the top 10% high-risk patients, there were reductions of 61, 48 and 94 hospitalizations per thousand over each of the three years study. This was accompanied by a difference of the per member per month (PMPM) inpatient costs of $115 and $62 in years 1 and 2.  While there was also an increase in outpatient specialist visits, the downward change in inpatient utilization drove the difference in combined overall costs in years 1 and 2 of $107 and $75 PMPM. 

    All these differences were statistically significant.  The 3rd year was not because there were too few patients to achieve statistical significance.

    While the study was retrospective, the matching methodology is credible enough for the peer reviewers of AJMC and for the PHB. Using control patients from just one clinic is problematic, but no study is perfect. 

    Which brings us to the punchlines:

    1. Two years ago, the prescient Population Health Blog described how modern Ver. 2.0 "disease" (better described as "population") health management can financially succeed.  It said that one key ingredient is risk segmenting the population and targeting services at the highest risk patients. This AJMC article says it was right.  Most patients won't benefit, but vulnerable patients will.  They are the PCMH's customer.

    2. The AMJC article also comports with an accompanying JAMA editorial that is discussed here.  As the PHB quoted, the JAMA drama....

    ".... has done a great service for the advocates of the Patient Centered Medical Home by effectively ending promotion of this care model as a generic, low-level, unselective approach to health care delivery for all.  The next critical phase of PCMH development should focus on its strategic deployment for the care of high-utilization patients...."

    * This uses "linear additive formulas obtained from ordinary least squares regression to combine expenses associated with clinical groups and demographic factors to generate predictions." Wasn't that easy?

    Warning: Health Insurance is Hard

    As a former commercial medical director, the Disease Management Care Blog has wrangled with a number of physician colleagues in the population health, medical home and accountable care business on the basics of health insurance .

    Many are afflicted with two "insurance-is-easy" conceits:

    1. Insurers take in premium money, pay claims and keep what's left over, and

    2. Quality health care means more money is left over.

    Both have fueled the Accountable Care Organization (ACO) gold rush. Since insurers are supposedly fat with money, it's a no-brainer to want to get a piece of the action, especially since "stuff" like mammograms and the electronic record will save even more bucks.

    Win-win, right?

    Not so fast.  Insurers' ROI is not huge, quality costs and the EHR's money-saving potential is just that.

    Which is why the DMCB likes the short American Journal of Managed Care manuscript on ACOs that asks "Is the Deal Any Good?"

    Author François De Brantes reminds readers that 1) a lot of patients are needed to dampen the individual impact of costly outliers, and 2) certain assumptions must be made about cost trends.  Get either wrong and you could lose money.

    The author also asks readers to consider the achievable savings rate. To the DMCB, this speaks to the assumption that quality and prevention automatically add to the bottom line. That's not necessarily true and could make you lose even more money.

    Says the author:

    Over a decade ago, the ability of providers to understand the uncertainty of the financial risks eventually led to the demise of many and a significant setback for the country in our collective ability to rein in runaway medical costs. We cannot allow the same mistakes to happen again, and both providers and payers need to understand whether or not the deal is any good.

    In other word, insurance is hard.  Stay tuned on whether the ACOs have figured that out.

    Diabetes Control and Lower Weight Is Associated With Statistically Significant Savings

    A complication of diabetes
    The study is reported here in the American Journal of Managed Care.

    Researchers at the western Massachusetts Reliant Medical Group were interested in knowing whether there was any association between control of blood sugar among persons with diabetes and their health insurance claims expense. Using combined data from their electronic health record (EHR) plus insurance claims, they identified all (continuously enrolled) adults with at least one physician encounter between January 2007 through December 2011 for a diagnosis of diabetes, who also were being treated with metformin and a sulfonylurea drug.  This yielded a population of 2044 patients.

    This study had some useful benchmark data for other providers with caring for a similar diabetic population. 27% had an A1C goal of less than 7%, 64% had an A1C goal of less than 8%, 33% had a blood pressure less than 140/90 mm Hg, 68 % had a LDL of less than 100 mg/d, and 34% had a body mass index (BMI) less than 30.

    After controlling for age, gender, enrollment date, race, payer type and comorbidities, the researchers found that having a target A1c less than 7% (indicating good diabetes control) was associated with $992 per member per year (PMPY) in savings. There were $1445 PMPY in savings for an A1c less than 8%, and $1218 for a BMI less than 30 - all versus persons who did not achieve those goals.  Just controlling blood pressure, or cholesterol levels did not result in statistically significant savings  

    Combining a low A1c, blood pressure control less than 140/90, low LDL cholesterol and BMI in various combinations seemed to result in savings in excess of $2000 per member PMPY.  Most of the savings related to diabetes control appeared in the outpatient category, while most of the savings related to BMI appeared in the inpatient category.

    The DMCB's take:

    1. Not all persons with diabetes may have a "diabetes" diagnosis in the EHR or a bill submitted to an insurance company that uses that particular code. The DMCB likes this study because it's more likely that a person with diabetes will eventually show up in a 5 year period. Plus, the use of metformin and a sulfonylurea medication makes it easier to accurately capture persons with diabetes.

    2. This is another in a series of observational studies that infers that persons with target control of blood glucose or who are not overweight experience lower claims expense compared to persons with poor control or who are overweight.

    3. What this study does not prove is that blood glucose control or weight control causes low insurance claims expense.  Association does not equal causality any more than "white hair" causes heart attacks.  In order to prove causality, persons with diabetes and similar baseline claims would need to be randomly allocated to good vs. bad control of their blood glucoses (or good vs. bad weight) with prospective and simultaneous comparison of the future expenses over time.  That's called a randomized controlled trial.

    4. Remember the ACCORD study?  Persons were randomly allocated to tight vs. very tight control of their blood glucoses and the death rate unexpectedly causally went up for persons with very tight control. The DMCB brings that up because, in the AJMC study described above, less tight control of diabetes (A1c less than 8% vs. the target of 7%) was associated with even greater reductions in claims expense.  Is this further evidence that tight control of diabetes leads to problems?

    5.  Unexpectedly, blood pressure or LDL control was not independently associated with lower claims expense.  That's important because Accountable Care Organizations that assume blood pressure and cholesterol lowering pill compliance will result in shared savings may need to reconsider.

    Ultimately, while this study doesn't prove that successful population health management for diabetes would save money, it's one more piece of evidence pointing in that direction.  Let the studies continue.
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