Design of healthy hearts in the heartland (H3): A practice-randomized, comparative effectiveness study

Jody D Ciolino1, Kathryn L Jackson2, David T Liss3

  • 1Department of Preventive Medicine, Division of Biostatistics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.

Insights

The Healthy Hearts in the Heartland study tested Point-of-Care (POC) and POC plus Population Management (POC+PM) strategies to improve cardiovascular health measures in primary care practices. The study design successfully balanced baseline characteristics, with final outcome analyses pending.

Area of Science:

  • Cardiovascular Health
  • Primary Care Quality Improvement
  • Health Services Research

Background:

  • The Healthy Hearts in the Heartland (H3) study is part of the nationwide EvidenceNOW initiative.
  • It focuses on improving cardiovascular health quality measures (ABCS: Aspirin, Blood Pressure, Cholesterol, Smoking cessation) in small primary care practices.
  • The study assesses the feasibility of implementing Point-of-Care (POC) or POC plus Population Management (POC+PM) strategies.

Purpose of the Study:

  • To evaluate the feasibility and effectiveness of two quality improvement strategies (POC and POC+PM) in primary care settings.
  • To improve the "ABCS" clinical quality measures related to cardiovascular health.
  • To describe the design and randomization process of the H3 study.

Main Methods:

  • A practice-randomized comparative effectiveness study involving 226 primary care practices.
  • Two arms: 1:1 randomization to POC or POC+PM.
  • A modified constrained randomization algorithm was used to balance nine baseline variables, including ABCS measures.

Main Results:

  • 112 practices were randomized to POC and 114 to POC+PM.
  • Randomization achieved baseline comparability across key variables.
  • Initial estimates showed similar median proportions for ABCS measures between the two arms.

Conclusions:

  • The study's unique randomization approach, using surrogate baseline estimates, effectively balanced key outcomes.
  • This design may be adaptable for similar practice- or cluster-randomized trials.
  • Final 12- and 18-month outcome analyses are forthcoming.
Abstract

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