Adjusting for Patient Economic/Access Issues in a Hypertension Quality Measure

Jenna Donovan1, Erika K Cottrell2, Megan Hoopes1

  • 1OCHIN, Inc., Portland, Oregon.

Insights

Adjusting hypertension quality measures by excluding patients with economic barriers had varied effects on control rates. Excluding these patients removed a large proportion, questioning the measure's clinical performance value.

Area of Science:

  • Health Services Research
  • Quality Improvement
  • Health Equity

Background:

  • Professional organizations recommend adjusting hypertension quality measures.
  • Exclusions target patients facing economic or access barriers to care.
  • Methods for operationalizing these exclusions remain underexplored.

Purpose of the Study:

  • To apply and compare different methods for populating denominator exceptions in hypertension quality measures.
  • To assess the impact of excluding patients with economic/access issues on hypertension control rates.
  • To evaluate the feasibility and implications of these adjustments in community health centers.

Main Methods:

  • Utilized electronic health record data from 84 community health centers (2019 data, analyzed in 2021).
  • Applied 10 distinct indicators of patient economic/access barriers as denominator exclusions.
  • Calculated and compared adjusted hypertension control rates across different exclusion approaches.

Main Results:

  • Five of ten measures showed increased adjusted hypertension control rates in over 50% of clinics (0.7-3.71 pp increase).
  • Three of ten measures showed decreased adjusted rates in over 50% of clinics (1.33-13.82 pp decrease).
  • Five measures resulted in excluding over 50% of the patient population from assessments.

Conclusions:

  • The impact of adjusting hypertension quality measures varied significantly based on the exclusion criteria used.
  • Adjustments resulted in small changes to clinic-level rates but excluded substantial patient proportions.
  • Excluding large patient groups raises concerns about the meaningfulness of these adjusted quality measures for clinical performance evaluation.
Abstract

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