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Special Communication |
From the Department of Family Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD
Correspondence: Corresponding author: Kenneth S. Fink, MD, MGA, MPH, Med-QUEST Division, State of Hawaii Department of Human Services, P.O. Box 700190, Kapolei, HI 96709-0190 (E-mail: kfink{at}medicaid.dhs.state.hi.us)
| Abstract |
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Quality and efficiency are 2 terms used when assessing value in health care. The Institute of Medicine (IOM) defines quality as "the degree to which health services for individuals and populations increase the likelihood of desired health outcomes and are consistent with current professional knowledge."6 In other words, quality represents the consistency of the delivery of effective health care. The IOM defines efficiency as "avoiding waste, including waste of equipment, supplies, ideas, and energy."7 Efficiency is often considered the ratio of output to input and might be reflected as health outcome per resources consumed.8 Quality and efficiency are independent factors within a system and the goal is to optimize both, thereby achieving greatest value.
Improving quality and efficiency requires measurement and this has resulted in a flurry of activity surrounding quality measures. Between 2004 and 2007, the number of quality measures on the National Quality Measures Clearinghouse increased by over 60%.9 In 2002 the National Quality Forum (NQF) had zero ambulatory quality indicators; in 2007 the NQF had 122, of which 102 were process, 11 were outcome, and 9 were patient experience.10 The NQF uses a consensus-based process to endorse measures. The elements of the scientific acceptability criterion are precise specifications, reliability, validity, discriminating real differences in performance, adaptability, adequacy of risk adjustment, and consistent evidence linking process to outcome.10
However, it is not always clear that process measures lead to improved health outcomes. For example, the NQF-endorsed hospital heart failure measures, also used by the Centers for Medicare and Medicaid Services (CMS), include evaluation of left ventricular systolic function and provision of discharge instructions,10 but a large retrospective cohort study found that, when adjusted, neither of these measures was significantly associated with reducing mortality or rehospitalization.11 Prescribing an angiotensin-converting enzyme inhibitor or angiotensin receptor blocker and prescribing a beta-blocker at discharge were the 2 independently predictive measures, yet a beta-blocker at discharge for heart failure is not a NQF or CMS measure. Measures vary in the work necessary to provide the care measured. For example, working with a patient to achieve a hemoglobin A1c at a certain level requires more effort than ordering preoperative antibiotics. Not all measures have equal value or require similar effort, and the validity of measures will affect the effectiveness of programs that use them for improving heath outcomes as well as quality and efficiency.
The growth in measure development has been accompanied by the development of programs that provide financial incentives for measure reporting and performance. CMS has had a hospital pay-for-reporting program that will become a pay-for-performance program this year (2008).12 They also initiated a provider pay-for-reporting program in 2007, which is expected to eventually progress to pay-for-performance.13 A 2006 survey of health maintenance organizations found that 90% had a physician pay-for-performance program.14 However, evidence is lacking that financial incentives in the outpatient setting improve health outcomes, particularly in an open or fee-for-service system.
Pay for performance, which is supported by the Medicare Payment Advisory Commission and the IOM, has reached a tipping point, but the concept may be advancing before the science.7,15 Although a 2004 systematic review of pay for performance concluded that performance-based payment can improve quality of care, this conclusion was based on 7 trials with mixed results.16 A 2006 Congressional Research Service report concluded that there are few rigorous evaluations of the effectiveness of pay-for-performance programs. Initial studies suggest the programs can improve performance on quality measures, but evidence is lacking to support such programs save costs.17 A recent study concluded that care dispersion in a fee-for-service program such as Medicare, in which beneficiaries visit multiple physicians in an uncoordinated manner, limits the potential of a pay-for-performance program to improve quality.18 The benefit of pay-for-performance programs is unclear, and there may be potential harms.
Pay-for-performance programs may have unintended consequences. Assuming the programs are designed with appropriate attribution and a sufficient incentive, achievement on the program measures may come at an expense. Providers are extremely busy and a new or additional task may supplant another, creating an opportunity cost if the care neglected was of greater value for the individual patient.19 If the program uses outcome measures and does not make adjustment for patient confounders such as income, education, health literacy, and comorbidities, providers might select better performing patients for their practice. This may happen especially if the pay-for-performance program leads to provider tiering and networking, in which high-performing physicians receive increased payment or patients have greater cost-sharing through a greater copayment or coinsurance when visiting lower-performing physicians.20 Private health plans could further incentivize the highest quality and most efficient providers to take a greater share of their patients, resulting in a reduction of Medicare or Medicaid patients and ultimately leading to a situation in which the poorest-performing providers care for the most vulnerable populations. However, Medicare could compete for these providers by having comparable incentives. Providers who find Medicare or other public pay-for-performance programs overly burdensome relative to the financial return could decrease the number of their patients with such insurance, further worsening access to care. At this point, few of these potential adverse effects have been reported.
Policy often needs to proceed in the absence of definitive evidence, and financial incentives may be an important strategy for improving quality and efficiency. Pilot programs would be useful for increasing knowledge about the effectiveness of different incentive program designs before the implementation of a large mandatory program, and some have been promising. Evaluating the unintended and intended effects and sharing best practices will be important to improve financial incentive programs and to maximize value and minimize harm. In the meanwhile, physicians can continue to improve the quality of care provided while being more cognizant of the efficient use of health care resources to improve health outcomes, as well as the accessibility and affordability of health care.
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Conflict of interest: Dr. Fink was previously the Centers for Medicare and Medicaid Services Region 10 Chief Medical Officer and regional lead for its Value Driven Health Care effort.
See Related Commentary on Page 370.
Received for publication April 30, 2008. Revision received June 29, 2008. Accepted for publication July 1, 2008.
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