Accession Number : ADA313775

Title :   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.

Descriptive Note : Final rept. Jul 93-Jul 95,

Corporate Author : ASSISTANT SECRETARY OF DEFENSE (HEALTH AFFAIRS) WASHINGTON DC

Personal Author(s) : Corey, David J.

PDF Url : ADA313775

Report Date : MAY 1995

Pagination or Media Count : 89

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.

Descriptors :   *MANAGEMENT PLANNING AND CONTROL, *COST ESTIMATES, *ILLNESS, *WOUNDS AND INJURIES, *MEDICAL SERVICES, *HEALTH CARE FACILITIES, *GOVERNMENT EMPLOYEES, FILES(RECORDS), HIGH FREQUENCY, PREDICTIONS, COST ANALYSIS, DISEASES, TIME, REGRESSION ANALYSIS, COSTS, COMMAND AND CONTROL SYSTEMS, SAFETY, ADMINISTRATIVE PERSONNEL, CIVILIAN PERSONNEL, HYPOTHESES, EQUATIONS, COMPENSATION, ARMY OPERATIONS, LEGISLATION, ACCIDENTS.

Subject Categories : Administration and Management
      Medicine and Medical Research
      Environmental Health and Safety

Distribution Statement : APPROVED FOR PUBLIC RELEASE