Incorporating disparity reduction into pay-for-performance.

One of the concerns surrounding pay-for-performance (P4P) strategies is their potentially negative impact on racial/ethnic disparities in healthcare. We have previously described that leaders of P4P programs in the United States acknowledge that their P4P programs are being designed without much attention to these disparities and may contain features that may promote inequities rather than eliminate them.1

Thus far, the evidence regarding P4P’s impact on disparities is limited and there is as much reason to worry as there is to be reassured. On the one hand, one study shows that physicians who are highly ranked by a combination of quality and efficiency measures in a tiered network are generally as likely to care for racial/ethnic minorities as lower ranked ones.2 On the other hand, another study suggests hospitals that disproportionately care for racial/ethnic minorities may be less able to earn bonus payments in Medicare’s hospital P4P program than those who do not.3 In this issue, Millett examines this problem in the United Kingdom and still finds that P4P’s impact on disparities can be ambiguous; P4P significantly reduced disparities in only two of the 20 white-minority quality indicator comparisons that were examined, while disparities increased in three of the comparisons.4

In order to successfully incorporate disparity reduction goals into existing P4P programs, payors and policymakers will need to be cognizant of whether they are: (1) addressing disparities that result from differential treatment within a single institution, or from minorities disproportionately receiving care from lower quality providers; (2) using performance measures that are likely to generate the greatest yield when it comes to reducing disparities; (3) employing algorithms that reward providers for improving care while pursuing absolute benchmarks; and (4) preparing for ways in which disparity reduction and/or elimination can be tied to payment.

. In the scenario where the racial/ethnic gap exists because the same providers treat minority patients differently from white ones5–7, P4P payments can be tied to providers who demonstrate that they provide both high quality and equitable healthcare. In the situation where the racial/ethnic gap appears to exist because minorities are disproportionately cared for by lower quality providers5,6,8,9, it may be necessary to design P4P programs to encourage high quality providers to care for more minorities and/or to provide lower quality providers with additional incentives to pursue quality improvement efforts. Sometimes institutions that disproportionately serve minority patients are overwhelmed with the demand for their services, are underresourced, and lack access to specialty referral.

. P4P program designers can target disparities in three main ways. First, they can emphasize condition-specific processes and outcomes known to have large disparities. Second, they can target more general aspects of care that have been shown to be important to minorities. Third, they can specifically reward improvements in care for minority populations and/or the narrowing of disparities.

One example of using P4P to target condition-specific treatment gaps comes from breast cancer screening and treatment. Over the past several years, the black–white disparity in screening rates has narrowed in many regions of the United States, but gaps pertaining to getting African-American women into treatment at earlier stages of breast cancer and using radiation therapy adjunctively in treatment plans still exist.10 If P4P programs are aware of this racial/ethnic difference in the transition from screening to treatment, they could potentially incentivize timely referral and appropriate case management for patients with positive screening results.

An example of using P4P to target more general aspects of healthcare comes from what is known about the importance of participatory decision-making communication styles for engaging minorities across a variety of health conditions.11 If P4P programs recognize the importance of these types of interactions, then they could move beyond measures of patient satisfaction and towards including measures that reflect the effectiveness of physician–patient interactions.

Lastly, P4P programs can reward providers for improving the quality of care provided to minorities specifically (e.g. HbA1c testing rate in African Americans with diabetes), or for demonstrating that there is no difference in the care provided across their patient population (e.g. showing that the HbA1c testing rate in African Americans is equivalent to the rate in whites).

In addition to being careful about which performance measures should be targeted, P4P programs should pay attention to how rewards and/or sanctions are triggered. Leaders of P4P programs already appear to believe that programs that only reward providers for reaching highly set expectations or absolute benchmarks (e.g. >90% of appropriate patients screened for colon cancer) are more likely to yield negative consequences for disparities than those that reward based on improvements in care (e.g. rising from 25% screening rates to 75%).1 Given the equivocal evidence regarding the impact of P4P on disparities, and cautions from those with experience designing and implementing these programs, P4P programs should reward providers not only for whether they reach a target, but also for how much they improve.

. Policymakers are likely to begin incentivizing disparity reduction; this year Massachusetts passed legislation that partly ties Medicaid’s fees to the reduction of racial/ethnic disparities.12 To start preparing for this requirement, P4P programs should stratify their quality and/or cost-efficiency data by race/ethnicity to discern if and when disparities are occurring. Subsequently, health care organizations can implement institutional and/or regional remedies to reduce disparities. This gradual approach to tying P4P to disparities reduction would also allow program designers and researchers to understand the methodological challenges associated with this enterprise and contemplate strategies to implement P4P in a fair manner. Some of these strategies may require structural investments, like better health information technologies, but others relate to statistical conventions for dealing with performance measurement methodologies and inherent difficulties of small sample sizes (e.g. methods for aggregating across time, Bayesian versus frequentist methods of estimation).13,14

In summary, although initial P4P efforts were not designed with disparity reduction in mind, future ones can be. We have a rich enough understanding of the nature of disparities, of what is missing and effective for minority populations, and of what is important in P4P design to start incorporating equity strategies into every P4P initiative.