Variation: Study Suggests Cost Based on Illness More than Delivery System


Today’s Managing Health Care Costs Quote:

Insurance is expensive because it's paying for medical care, and it won't be affordable unless the medical care it's paying for becomes affordable.”
Ezra Klein  , January 28, 2011



There’s another volley in the ongoing academic food fight about how much provider variation affects variation in health care costs, and how much of variation is about how sick patients are.

The Center for the Study of Health System Change  has just circularized an article published last week in Health Services Research  which looked at a year of claims data from 1.6 million Medicare beneficiaries in communities where the Community Tracking Survey collected independent information about providers.  High cost beneficiaries cost $48,000, while low cost beneficiaries (top and bottom quintile) cost $7000. 

The high cost beneficiaries were older, more likely to be eligible for both Medicare and Medicaid, and had more diseases.    They were more likely to get health care in multiple census districts, and more likely to have a specialist as their usual source of care.  However, they were not more likely to live in areas with higher hospital, physician or specialist supply.

This is a complicated study of Medicare beneficiaries only, and includes scads of statistical manipulation and adjustments.  It’s not proof that supply has no impact on resource cost. However, I believe this is another indication that we can’t expect to solve the health care cost crisis by profiling providers and controlling capital expense alone. 

We’ll need to make real and difficult change in the actual delivery of care to genuinely sick people to get the cost savings we need.    

Vermont Goes For Single Payer


Today’s Managing Health Care Costs Number is 6


click to enlarge image

While Washington continues the battle of sound bites about the Affordable Care Act, some of the most interesting experiments in providing increased health care coverage while controlling health care costs are happening in the states.   Today, Vermont is in the news for a plan to convert to a single payer government run health care system, even as Capitol Hill reverberates with opposition to the government regulations and standards in the ACA.

The Vermont Legislature passed a bill mandating study of implementation of universal health care in that state, and hired William Hsaio of Harvard School of Public Health to help with system design.  He and his team set forward six goals for health care reform

1.      Maximize federal funds for Vermont.
2.      No increase in overall health spending and therefore all funding for the options must derive from savings
3.      No increase of the overall health care cost burden faced by employees or employers
4.      No reduction in the overall net income received by physicians, hospitals, or other health care providers
5.      The implementation of any option must move Vermont toward an integrated health care delivery system that allows for a transition to global budgets and risk-adjusted capitated payments
6.      No changes for Medicare beneficiaries in Vermont


These are a tough series of goals that in many states are mutually exclusive. For instance, spending more on health care will usually cause a reduction of physician, hospital, and other health care income!  


Hsaio offers three options:

  • Single payer administered by a government agency, with either comprehensive or less generous benefits.  He says this could save as much as 24% of total health care expenditures.
  • Multipayer system with competition.   He estimates that this system would save “only” 16% of total costs.  It would also extend coverage to only a few thousand new enrollees – and is thus not recommended.
  • Single payer system administered by a private party, which he estimates could save 25% of total costs, because of the effectiveness of hiring a private party with the proper expertise to do the claims processing at the outset.   He recommends this option – with the less generous (and thus more affordable) benefits.  This would include full vision and dental benefits.

In an interview with Ezra Klein, Vermont Governor Peter Shumlin says that the reason providers won’t have accept lower income due to Vermont’s money-saving single payer system is

We don’t have a lot of high-paid physicians in Vermont. We have a lot of low-paid physicians. We have rural providers who’re making less than they did when they graduated from medical school. Our cost driver is not that we have a lot of physicians running around in Mercedes-Benzes. It’s waste in the system.

Where are these big savings coming from?

1.      Decreased administrative costs.  (However, providers will continue to have staff to bill out-of-state payers – so they won’t be able to utterly eliminate much of their overhead
2.      Less wasteful diagnostic and other spending
3.      Better care coordination
Healther Vermonters will need less expensive medical care

Of note, the researchers recommend that primary care physicians be paid risk-adjusted capitation and specialists be paid salary with quality rewards.   It appears that negotiation of physician rates would be left to Accountable Care Organizations, and this might require that physicians join such organizations.  Approaches that change physician reimbursement methods and require physicians to join organizations are usually opposed by the medical establishment. So far, the Vermont Medical Society says it is reviewing the legislation” and withholding comment.  Hsaio et al also recommend a single electronic health record system (EHR).  I’d expecdt provider organizations which have already invested in EHRs to oppose being forced to join a different system.

The Vermont plan will probably require multiple federal Medicare and other waivers to take effect. 

Health care reform isn’t easy – and a small progressive, community-oriented rural state might make it over the substantial hurdles required to make this a reality.  I’m skeptical of the promises of huge cost savings – but increasing access, moving toward better care integration, and lowering costs even just a little bit would be a huge accomplishment.  Stay tuned.

High Cost California Hospitals Have Lower Mortality



Today’s Managing Health Care Costs Indicator is 1831


There is so much to blog about.  Since my last post, a federal judge found the entire Affordable Care Act unconstitutional because of the individual mandate, and the federal government announced $4 billion in fraud recoveries in the last year.   Medicaid cuts in many states continue to pose a threat to meaningful coverage for the poor.   But more on those important issues over the coming days.

A brief post tonight. 

Today’s Annals of Internal Medicine  assigns California hospitals to quintiles based on Medicare cost of care (using Dartmouth Atlas methodology) , and then correlates  these costs with mortality for six conditions: heart attack, congestive heart failure, stroke, gastrointestinal bleeding, hip fracture and pneumonia. 

The results?  The most expensive hospitals had lower mortality rates – even though other researchers have found no correlation between hospital spending and various process measures that are proxies for quality, such as appropriate antibiotic therapy or discharge on appropriate cardiac medications. 

The researchers calculated that in California there would have been 1831 more deaths if patients were moved from the highest cost to the lowest cost hospitals.

The health policy implications of this are ambiguous, at best.  This research suggests that simple tiering based on quality process measures might encourage patients to get care at hospitals with higher mortality – a scary thought indeed.  On the other hand, this is an observational study  - it doesn’t prove that spending more is the reason for lower mortality.  The researchers did not calculate the cost per life saved – but provided enough information to do so.  My quick excel spreadsheet is here.   It appears to me that the cost to move all patients from the lowest to the highest cost quintile would over the four year period would be $3.8 billion, or $2.1 million per life saved (not per QALY).

These are difficult social choices with real tradeoffs; there are no simple answers.