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Rethinking Blood Pressure Quality Measurement: Accounting for Seasonal Variation in Value-Based Care
Jennifer Stephens1, Debra Carter2, Beth Careyva3
1Department of Medicine, Jefferson Health, Allentown, Pennsylvania, USA.
Insights
Seasonal blood pressure (BP) variations impact quality metrics. Current methods using year-end BP readings may inaccurately assess patient control, highlighting the need for improved measurement accuracy in value-based care.
Area of Science:
- Cardiology
- Public Health
- Health Informatics
Background:
- Value-based care (VBC) emphasizes quality metrics like blood pressure (BP) control.
- The Healthcare Effectiveness Data and Information Set (HEDIS) Controlling High Blood Pressure (CBP) measure uses a single year-end BP reading.
- This method overlooks seasonal BP variations, where BP naturally declines in summer and rises in winter.
Purpose of the Study:
- To evaluate the impact of seasonal BP variations on measured performance within a large health system.
- To compare the accuracy of year-end BP readings versus a rolling average for assessing BP control.
- To advocate for improved quality measurement methods that account for seasonal BP fluctuations.
Main Methods:
- Retrospective analysis of monthly BP control rates from July 2019 to December 2025 (78 months) in the Jefferson Health-Lehigh ambulatory network.
- Comparison of summer (June-August) and winter (December-February) BP control rates using paired t-tests and regression analysis.
- Assessment of year-end performance using both the HEDIS December-only rate and a rolling Q4 (October-December) average.
Main Results:
- BP control rates were significantly higher in summer (75.2%) than in winter (73.1%), a 2.1-percentage-point difference.
- This seasonal pattern was consistent across all 7 years of the study.
- The rolling Q4 average consistently exceeded the December-only rate, reclassifying 60-520 additional patients as controlled annually.
Conclusions:
- Seasonal BP variation is a robust phenomenon that is inadequately addressed by current quality measures like HEDIS CBP.
- Multi-reading or seasonally adjusted BP measurement methods would enhance accuracy and fairness in VBC quality assessment.
- Redesigning quality measures to incorporate seasonal adjustments is recommended, with engagement sought from NCQA and CMS for piloting.
Abstract:
Blood pressure (BP) control is a core quality metric in value-based care (VBC). The Healthcare Effectiveness Data and Information Set (HEDIS) Controlling High Blood Pressure (CBP) measure uses the final BP reading of the calendar year, a method that overlooks well-documented seasonal variation-BP declines in summer and rises in winter. We evaluated the impact of this pattern on measured performance in a large health system. We conducted a retrospective analysis of monthly BP control rates (July 2019 to December 2025) across the Jefferson Health-Lehigh ambulatory network, totaling 78 months and approximately 7.6 million patient-months. Summer (June to August) and winter (December to February) rates were compared using paired t-tests and ordinary least square regression with seasonal adjustment. Year-end performance was assessed using both the HEDIS final-reading (December rate) and a rolling Q4 average (October to December mean). Standard VBC quality improvement initiatives with Q4 intensification were in place. BP control rates were significantly higher in summer (75.2%; 95% confidence interval [CI]: 73.5%-77.0%) than winter (73.1%; 95% CI: 71.2%-75.1%), a 2.1-percentage-point difference (paired t = 5.13, P = 0.002). This pattern was consistent across all 7 years. Within-year peak-to-trough amplitude averaged 2.8 percentage points in nonpandemic years. The rolling Q4 average exceeded the December-only rate in all years, with differences of 0.06-0.59 percentage points, reclassifying 60-520 additional patients as controlled annually. Seasonal BP variation is robust and inadequately addressed by current quality measures. Multi-reading or seasonally adjusted methods would improve measurement accuracy and fairness. Engagement with NCQA and CMS to pilot redesigned measures is recommended.
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