Occupational Injuries and Illnesses, Predictive Risk Factors and Their Associated Costs. A Study of Department of Army Civilian Health Care Employees Assigned to the United States Army Medical Command.

Abstract

This project assists U.S. Army Medical Command (MEDCOM) administrators in reducing occupational injuries, lost work time, Federal Employee Compensation Act (FECA) claims, and Continuation of Pay (Cop) benefits. The first hypothesis tested if eight potential demographic, organizational, and job-site risk factors (independent: variables) were predictive in five natures of injury (NOI) sustained by MEDCOM civilian employees. This dependent variable was coded as back strain, multiple strains, punctures, contusions, and diseases. This analysis sampled 1,482 employee. accident/illness claims currently active in A=y Safety Center files. Five multi-factor stepwise regression analyses were performed resulting in a combination of 33. factors being identified as statistically significant predictors of one or more of the NOIs. The five equations ranged from a high R2 = .33295 (F 6, 14751 = ;122.7039s, % < .0000) for the analysis of diseases to a low of R = .04388 (F 3, 14781 = 22.04332, % < .0000) for punctures. The second hypothesis evaluated if FECA claims paid are a function of the five NOIs. results indicated that back strain injuries occurred with the highest frequency and costs. Results of two other studies sampling 2023 accident reports, concluded that the MEDCOM would have paid $6.2 million in Cop benefits and sustained 7.63 accidents/100 work years in FY 94.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1995
Accession Number
ADA313775

Entities

People

  • David J. Corey

Organizations

  • Assistant Secretary of Defense for Health Affairs

Tags

DTIC Thesaurus Topics

  • Accidents
  • Back Injuries
  • Business Administration
  • Civilian Personnel
  • Computer Programs
  • Databases
  • Diseases And Disorders
  • Employment
  • Health Services
  • Information Science
  • Management Personnel
  • Medical Personnel
  • Personnel Management
  • Regression Analysis
  • Statistical Analysis
  • Therapy
  • Wounds And Injuries

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