Improving quality measure maintenance: navigating the complexities of evolving evidence

To be effective, healthcare quality measures must communicate clear, evidence-based standards to promote improved quality of care and outcomes. When the evidentiary foundation for measures changes, revisions must be made quickly and communicated clearly; otherwise, measures can confuse providers who are trying to reconcile the evidence-based care they deliver with outdated measure specifications. Outdated measures can also affect clinical decision making, potentially harming patients if the measures promote care that is not the best treatment for their condition according to the most recent evidence. This case study focuses on 2 measures for which the evidence base changed, yet implementation of revised specifications lagged and subsequently affected the payment programs in which the measures are used. The case study is shared to motivate collaboration among quality measurement stakeholders to advance shared responsibility for timely measure updates when evidence changes and to avoid confusion in measure implementation. Multiple parties share the responsibility for ensuring that measures are updated and aligned with evidence and practice recommendations. Issues of coordination among clinical experts, measure developers or stewards, and program implementers, including health plans, are not unique to any steward or implementer. The timing of new evidence releases and guidelines for the condition, service, or product being measured will always vary regardless of the measure update cycle for any one program. Changes to measure maintenance processes cannot totally negate these underlying challenges but can mitigate their impact. This case study calls for a national conversation to address opportunities for measure update process improvements.