Variability in performance measures for assessment of hypertension control
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Published on: June 16, 2014
Ann Marie Navar-Boggan1, Bimal R Shah, Joel C Boggan
1Duke Clinical Research Institute, Duke University Medical Center, Durham, NC, USA. navar006@mc.duke.edu
Insights
Blood pressure control rates vary significantly based on measurement methods. Using average readings and including home measurements improves accuracy, while excluding certain patients drastically alters performance metrics.
Area of Science:
- Cardiology
- Hypertension Management
- Healthcare Quality Measurement
Background:
- Multiple definitions exist for assessing blood pressure control.
- Limited data available on how technical variations in measurement affect performance.
Purpose of the Study:
- To evaluate how different blood pressure measurement and patient selection criteria impact hypertension control rates.
- To analyze the variability in provider performance ratings based on these technical differences.
Main Methods:
- Retrospective analysis of 5,552 hypertensive patients from 2009-2010.
- Compared blood pressure control using last clinic visit vs. average readings.
- Assessed impact of home blood pressure monitoring and guideline-recommended patient exclusions.
Main Results:
- Blood pressure control was 69.1% based on the last clinic visit.
- Significant variability (18 mm Hg average) in serial patient measurements observed.
- Including home measurements increased control rates by 6%; guideline exclusions by 3%.
- Excluding patients on ≥2 antihypertensives raised control rates to 96%.
Conclusions:
- Blood pressure control rates and provider ratings vary considerably based on the definitions and methods used.
- Technical aspects of performance measures significantly influence perceived quality and comparative provider assessments.
Background:
Definitions of multiple performance measures exist for the assessment of blood pressure control; however, limited data on how these technical variations may affect actual measured performance are available.
Methods:
We evaluated patients with hypertension followed routinely by cardiologists at Duke University Health System from 2009 to 2010. Provider hypertension control was compared based on reading at the last clinic visit vs the average blood pressure across all visits. The impact of home blood pressure measurements and patient exclusions endorsed by the American Heart Association, the American College of Cardiology, and the Physician Consortium for Performance Improvement were evaluated using medical record reviews.
Results:
Among 5,552 hypertensive patients, the rate of blood pressure control based on last clinic visit was 69.1%; however, significant clinic-to-clinic variability was seen in serial clinic blood pressure measurements in individual patients (average 18 mm Hg). As a result, provider performance ratings varied considerably depending on whether a single reading or average blood pressure reading was used. The inclusion of home blood pressure measurements resulted in modestly higher rates of blood pressure control performance (+6% overall). Similarly, excluding patients who met guideline-recommended exclusion criteria increased blood pressure control rates only slightly (+3% overall). In contrast, excluding patients who were on 2 or more antihypertensive medications would have raised blood pressure control rates to 96% overall.
Conclusion:
Depending on definitions used, overall and provider-specific blood pressure control rates can vary considerably. Technical aspects of blood pressure performance measures may affect perceived quality gaps and comparative provider ratings.
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