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papers

Exploratory analysis of high CT scan utilization in claims data

Published: November 5, 2013
Category: Papers
Authors: Begun JW, Hodges JS, Riley WJ
Country: United States
Language: null
Type: Performance Analysis
Settings: Health Plan, Hospital

J Am Coll Radiol 11:51-58.

University of Minnesota, Minneapolis, MN. USA; Arizona State University, Tempe, AZ, USA

PURPOSE: This study explores characteristics that distinguish higher and lower CT use by patients and referring physicians in a population of members of a large health insurance plan.

METHODS: We analyzed 310,467 CT scan claims from 2009-10 in a health plan serving approximately 1.5 million members. Patients who used CT scans and their referring physicians were classified into utilization categories. Characteristics distinguishing higher from lower utilization categories were identified.

RESULTS: Among patients receiving CT scans, patient characteristics that distinguished higher from lower utilization of scans were: male, older, seeing more total providers, using more prescription and total resources, classified as frail, having higher treatment group severity, and having government insurance. Among physicians ordering scans, physician characteristics that distinguished higher from lower referrals for CT scans were: male, board-certified, in group practice, and in particular specialties. Ownership interest was associated with higher claim volumes in a curvilinear manner but was not associated with claims per physician. Higher total referral counts were related to single-specialty practice type and larger group size. External reviewers (4 physicians) observed that the empirical relationships had plausible explanations based on reasonable medical decision-making.

CONCLUSIONS: Aggregate-level review of claims for CT scans in a health plan revealed no striking anomalies in associations of patient and referring physician characteristics with higher utilization. Claims research that examines particular conditions and patients with high utilization rates and physicians with high referral rates would advance the evidence base for quality improvement.

PMID: 24200472

Resource Utilization,Population Markers,Severity,Gender,CT Scans,Overutilized,Quality Improvement, Technology

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