Outpatient Workload (RVU) Predictors: Age, Gender & Beneficiary Category

Abstract

This retrospective study examines 1,529 data observations based on eligible beneficiaries who received outpatient care primary and specialty) within the catchment areas of three military treatment facilities located at Nellis AFB, Langley AFB and Travis AFB during fiscal year 2006. Data was collected from the Military Health System Management Analysis and Reporting Tool (M2). Univariate analysis of variance was used to determine the difference between workload, measured in relative value units (RVUs) per military beneficiary, and the demographic variables of age, gender and beneficiary category. The results of the main interaction effects between the dependent variable (RVUs/beneficiary) and age category yielded F(6,1480) = 11.17, p <.000. Likewise, significant results were found for gender F(1, 1480) = 30.65, p <.000 and beneficiary category F(3, 1480). These findings contribute to the future development of a predictive mold for determining the workload produced at Air Force Medical Service (AFMS) military treatment facilities.

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Document Details

Document Type
Technical Report
Publication Date
Jun 15, 2008
Accession Number
ADA493965

Entities

People

  • Charles Moniz

Organizations

  • Johns Hopkins University

Tags

DTIC Thesaurus Topics

  • Air Force
  • Analysis Of Variance
  • Business Administration
  • Delivery Of Health Care
  • Health Care
  • Health Services
  • Hospitals
  • Information Science
  • Medical Personnel
  • Military Hospitals
  • Military Medicine
  • Military Personnel
  • Patient Care
  • Statistics
  • Therapy
  • United States

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