Clinical and Cost Outcomes Associated with Cardiologist Payment Models: A Qualitative Systematic Review

Sandeep Chand1, Melissa Monaghan2, Riley Martens1

  • 1Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

CJC Open
|August 18, 2026
PubMed

Insights

Fee-for-service (FFS) payment models incentivize cardiologists to order more diagnostic tests, increasing healthcare costs without improving patient outcomes. Further research is needed to understand these relationships.

Area of Science:

  • Health economics
  • Cardiology
  • Healthcare policy

Background:

  • Cardiologist payment models significantly influence clinical decisions and healthcare expenses.
  • Physicians may exhibit bias towards ordering tests or procedures when they have ownership in the diagnostic equipment.
  • Understanding these financial incentives is crucial for evaluating healthcare costs and clinical outcomes.

Purpose of the Study:

  • To assess the impact of different cardiologist payment models on clinical decision-making.
  • To evaluate the influence of these payment models on health system costs.

Main Methods:

  • A systematic literature search was conducted across multiple databases (MEDLINE, Embase, etc.) up to August 2025.
  • Included studies utilized various designs: RCTs, CCTs, CBAs, ITS, and observational studies.
  • Studies examined cardiologist payment models and reported clinical and cost outcomes.

Main Results:

  • Fee-for-service (FFS) models showed higher diagnostic test utilization compared to non-FFS models.
  • High-volume FFS cardiologists ordered more tests; high-billing cardiologists performed fewer procedures.
  • Increased testing in FFS models did not correlate with improved patient outcomes.

Conclusions:

  • FFS payment models for cardiologists lead to increased diagnostic test utilization and potentially higher healthcare costs.
  • Current evidence suggests that increased testing does not improve key patient outcomes.
  • Further investigation is required to clarify the complex interplay between payment models, costs, and clinical results in cardiology.
Abstract

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