Quality measures (QMs) aim to quantify the effectiveness of clinical care. They are important for monitoring improvement in care delivery and are a key component in value-based care. QMs essentially validate the value of the care provided and are tied to value-based payment.
QMs come in two main flavors:
- Process measures: actions or interventions that aim to improve health
- Outcome measures: tangible health results achieved from those actions
Here’s a fitness analogy:
| Category | Fitness Example | Healthcare Example |
|---|---|---|
| Process Measures | Number of completed workouts Daily caloric intake Hours of sleep | Vaccination rate Number of preventive screenings Medication adherence |
| Outcome Measures | Increased energy Reduced blood pressure Improved mental health | Lower hospital readmission rates Improved survival rates Fewer surgery complications |
Preventive care through regular screenings is one of the most effective ways to improve public health and ensure long-term patient well-being. The National Committee for Quality Assurance (NCQA) develops QM standards such as HEDIS (Healthcare Effectiveness Data and Information Set)—used broadly in US health plans.
Ultimately, QMs help patients receive better, evidence-based care, leading to improved health outcomes and reduced costs by:
- Standardizing care—aligning with clinical guidelines leads to better patient outcomes by minimizing errors and ensuring consistency.
- Promoting early detection—preventing disease progression, reducing complications, and improving long-term health.
- Improving patient safety—some QMs focus specifically on reducing adverse events (e.g., hospital-acquired infections, falls, and medication errors)
Primary prevention, like preventive screenings, are often prioritized QMs in healthcare due to their potential for improving patient outcomes. These screenings support compliance with value-based care initiatives and are supported by the Affordable Care Act for zero-cost preventive services.
QM data are collected through electronic health records (EHRs), patient surveys, and other reporting systems. Risk-adjustment of QM data ensures fair comparisons, accounting for patient medical and social complexity that may influence outcomes. Telemedicine can also serve as a suitable quality performance-promoting venue for patients (study link here).
By reporting on these quality measures, clinicians and health systems can maximize their performance. Incentive programs like MIPS link quality of care to reimbursement. This rewards practices and health systems that are providing evidence-based, patient-centered care that promotes better outcomes.
For a more comprehensive understanding of how QM systems relate to care quality and cost efficiency, read more about specific measures and guidelines from the authoritative bodies:
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