Unbiased Analysis of Today's Healthcare Issues

Archive for the 'P4P' Category

Money back guarantee

With increasing pressure on the price of health care services, a number of firms are seeking innovative pricing strategies.  Stat reports: Stryker, a medical device company, developed its SurgiCount system to accurately track these sponges. This March, it announced it is backing the product with a $5 million guarantee. If the system is used as […]

Read the rest of this entry »

Tell me what you really think

I wrote last week about whether pay-for-performance (P4P) are doomed to fail.  One group of providers–physicians–certainly does not appreciate the current P4P programs instituted by the Centers for Medicare and Medicaid Services.  In a press release, the American Medical Association stated: …it appears that CMS has made significant improvements  by recasting the EHR Meaningful Use program and by […]

Read the rest of this entry »

Is value-based purchasing working for hospitals?

The Incidental Economist is one of my favorite blogs to read.  This week’s post on a recent BMJ article on the failure of P4P did not disappoint.  The article (Figueroa et al. 2016) looks at 4267 acute care hospitals in the United States that participated in Medicare’s Hospital Value Based Purchasing (HVBP) system.  During my time […]

Read the rest of this entry »

How do consumers perceive low priced health care?

Is it a bargain?  Or do low prices represent low quality?  Or is cost independent of quality?  To try to answer this question Phillips, Schleifer, and Hagelskamp (2016) conducted a nationally representative survey to investigate whether consumers believe that price and quality are associated.  They found that: Most Americans (58–71 percent, depending on question framing) did not think that […]

Read the rest of this entry »

Is P4P doomed to fail?

There have been many pay-for-performance (P4P) programs that have been implemented to attempt to improve quality and reduce cost. The vast majority of these programs have not been able to demonstrate large or even any improvement in quality or cost. Some researchers claim that these programs have not worked due to the size of the […]

Read the rest of this entry »

Cost of Quality Reporting: $15.4 billion

Medicare aims to move away from fee-for-service reimbursement and towards value-based payment mechanisms based on quality of care.  Although the goal is laudable, there are a number of practical challenges.  First, most care is still provided via fee for service.  In 2013, 95% of all physician office visits were reimbursed using fee-for-service.  Second, collecting quality of […]

Read the rest of this entry »

Core Quality Measures

One challenge providers have faced in the past is that quality measure reporting has been complex.  Medicare may ask for quality measures with one definition, commercial payers may define quality a second way, and Medicaid may ask for a third definition of quality.  Keeping track of these definitions and recording quality measures distracts providers from actually providing quality […]

Read the rest of this entry »

P4P in Medicaid

Does Medicaid use pay-for-performance (P4P) for providers?  If so, how does it work?  And does it affect quality and cost? These are the questions of interest to Rosenthal et al. (2015) in their study of P4P programs in Alabama, Minnesota, and Pennsylvania.  Although all three focus on physicians, the Alabama program is a “medical home ” […]

Read the rest of this entry »

Which value-based payment system is best?

Clearly, there is no single answer to this question and the answer depends on a number of factors including the market structure, provider responsiveness to intrinsic vs. extrinsic motivation, provider sample size, and the ability to accurately measure quality of care.  Douglas Conrad (2015) uses agency theory to provide an overview of existing value-based payment systems.  The […]

Read the rest of this entry »

Synthetic Control Method

A common method for measuring the effect of policy interventions is the difference in difference (DiD) approach.  In essence, one examines the change in outcomes among observations subject to the policy intervention and compare them agains observations that were not eligible for the policy intervention. A key assumption for this approach to be valid is […]

Read the rest of this entry »