Related Experiment Video
Updated: Sep 30, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Characterizing the Relationship Between Payer Mix and Diagnostic Intensity at the Hospital Level
Michael I Ellenbogen1,2, Laura Prichett3, Daniel J Brotman4
1Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA. mellenb6@jhmi.edu.
Background:
Overuse of diagnostic testing in the hospital setting contributes to high healthcare costs, yet the drivers of diagnostic overuse in this setting are not well-understood. If financial incentives play an important role in perpetuating hospital-level diagnostic overuse, then hospitals with favorable payer mixes might be more likely to exhibit high levels of diagnostic intensity.
Objectives:
To apply a previously developed hospital-level diagnostic intensity index to characterize the relationship between payer mix and diagnostic intensity.
Design:
Cross-sectional analysis SUBJECTS: Acute care hospitals in seven states MAIN MEASURES: We utilized a diagnostic intensity index to characterize the level of diagnostic intensity at a given hospital (with higher index values and tertiles signifying higher levels of diagnostic intensity). We used two measures of payer mix: (1) a hospital's ratio of discharges with Medicare and Medicaid as the primary payer to those with a commercial insurer as the primary payer, (2) a hospital's disproportionate share hospital ratio.
Key Results:
A 5-fold increase in the Medicare or Medicaid to commercial insurance ratio was associated with an adjusted odds ratio of 0.24 (95% CI 0.16-0.36) of being in a higher tertile of the intensity index. A ten percentage point increase in the disproportionate share hospital ratio was associated with an adjusted odds ratio of 0.56 (95% CI 0.42-0.74) of being in a higher intensity index tertile.
Conclusions:
At the hospital level, a favorable payer mix is associated with higher diagnostic intensity. This suggests that financial incentives may be a driver of diagnostic overuse.
More Related Videos
05:59Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
Published on: March 7, 2019
06:16Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
Published on: August 9, 2024
Related Concept Videos
Hospitals-I
Hospitals-II
Nurses that work in...
Integrated Healthcare System
Methods of Documentation III: PIE
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Interpreting Run Charts