A Claims-Based Method for Identification and Characterization of Practicing Interventional Radiologists

J Vasc Interv Radiol. 2024 Jun;35(6):909-917.e5. doi: 10.1016/j.jvir.2024.02.020. Epub 2024 Mar 4.

Abstract

Purpose: To propose a research method for identifying "practicing interventional radiologists" using 2 national claims data sets.

Materials and methods: The 2015-2019 100% Medicare Part B data and 2015-2019 private insurance claims from Optum's Clinformatics Data Mart (CDM) database were used to rank-order radiologists' interventional radiology (IR)-related work as a percentage of total billed work relative value units (RVUs). Characteristics were analyzed at various threshold percentages. External validation used Medicare self-designated specialty with Society of Interventional Radiology (SIR) membership records; Youden index evaluated sensitivity and specificity. Multivariate logistic regression assessed practicing IR characteristics.

Results: In the Medicare data, above a 10% IR-related work threshold, only 23.8% of selected practicing interventional radiologists were designated as interventional radiologists; above 50% and 90% thresholds, this percentage increased to 42.0% and 47.5%, respectively. The mean percentage of IR-related work among practicing interventional radiologists was 45%, 84%, and 96% of total work RVUs for the 10%, 50%, and 90% thresholds, respectively. At these thresholds, the CDM practicing interventional radiologists included 21.2%, 35.2%, and 38.4% designated interventional radiologists, and evaluation and management services comprised relatively more total work RVUs. Practicing interventional radiologists were more likely to be males, metropolitan, and earlier in their careers than other radiologists at all thresholds.

Conclusions: Most radiologists performing IR-related work are designated in claims data as diagnostic radiologists, indicating insufficiency of specialty designation for IR identification. The proposed method to identify practicing interventional radiologists by percent IR-related work effort could improve generalizability and comparability across claims-based IR studies.

MeSH terms

  • Data Mining
  • Databases, Factual*
  • Female
  • Humans
  • Insurance Claim Review
  • Job Description
  • Male
  • Medicare Part B
  • Practice Patterns, Physicians'
  • Radiography, Interventional
  • Radiologists*
  • Radiology, Interventional*
  • Relative Value Scales
  • United States
  • Workload