Accession Number : AD1006093

Title :   Development of Predictive Models of Injury for the Lower Extremity, Lumbar, and Thoracic Spine after Discharge from Physical Rehabilitation

Descriptive Note : Technical Report,22 Sep 2014,21 Sep 2015

Corporate Author : The Geneva Foundation Tacoma United States

Personal Author(s) : Rhon,Daniel

Full Text :

Report Date : 01 Oct 2015

Pagination or Media Count : 8

Abstract : The objective and overall hypothesis is that service member performance on a battery of physical performance tests performed upon discharge from physical rehabilitation, will be able to predict 1) the risk of sustaining any injury as well as 2) the risk of reoccurrence of the same injury. A two-pronged injury prevention approach is required to optimize return to duty rates after injury: Screening for known preventable musculoskeletal risk factors and ensuring these risk factors are mitigated prior to discharge from rehabilitation. The current assumption is that a service member discharged from medical care is ready to return to full duty. Because history of prior injury is a well-established risk factor, every service member that is discharged from Physical Rehabilitation is already at a higher risk for future injury. Identifying those at increase risk of recurrence provides the ability for secondary and tertiary prevention programs to optimize return to duty rates. Hypothesis 1: Risk factors shown to be predictive of lower extremity and lumbar/thoracic spine injuries in other populations and in healthy service members will also be predictive of re-occurrence of original injury, future injury, and return to duty rates in service members being discharged from Physical Rehabilitation. Hypothesis 2: The injury prediction models will vary by age and sex. Hypothesis 3: A multi-factorial prediction model that accurately predicts risk of new and recurring injuries, as well as return to duty rates, will consist of multiple variables.

Descriptors :   wounds and injuries , injury prevention , predictions , risk , MUSCULOSKELETAL SYSTEM , LOWER EXTREMITY , spine , active duty , REHABILITATION , military personnel , algorithms , medical screening

Distribution Statement : APPROVED FOR PUBLIC RELEASE