Predictive Models for Spine and Lower Extremity Injury After Discharge From Rehab

NCT ID: NCT02776930

Last Updated: 2020-01-18

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 480 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2016-03-31
• Study Completion Date: 2019-11-19

Brief Summary

The purpose of this study is to develop algorithms that will help predict future injury and/or re-injury after being returned to duty from a musculoskeletal injury. After completion of an episode of care with a physical therapist, the subjects will undergo a battery of physical performance tests and fill out associated surveys. The subjects will then be followed for a year to identify the occurrence/re-occurence of any injuries. Based on the performance on the physical evaluation tests, algorithms will be derived using regression analysis to predict injury.

Subjects will be recruited from the pool of patients that have recently completed physical rehabilitation in physical therapy clinics for their lower extremity or lumbar/thoracic spine injury.

Detailed Description

Subjects will be recruited across 4 medical centers after having completed a regimen of physical therapy for a spine or lower extremity injury. Upon discharge back to full duty, they will be given the opportunity to enroll in the study and undergo a battery of physical performance tests and associated surveys. The subjects will then be followed for a year to identify the occurrence of any injuries. Prediction algorithms will be derived using regression analysis to predict injury based on performance on the physical evaluation tests.

The overall hypothesis is that Service Member performance on a battery of physical performance tests performed upon discharge from care and return to duty, will be able to predict 1) the risk of sustaining any injury as well as 2) reoccurrence of the same injury that they were seeking care for during the year following discharge from rehabilitation. The current assumption is that when a Service Member is discharged from medical care, it has been done based on the expectation that it is appropriate and safe for them to return to function in their operational environment. Because history of prior injury is a well-established risk factor, every single Service Member that is returned to duty after medical care for a musculoskeletal (MSK) injury is already at a higher risk for future injury than his or her non-injured counterpart. The investigators hypothesize that decreased performance on the proposed testing protocol will be related to increase in the risk of 1 year-injury and recurrence of injury. Successfully identifying those at increased risk of recurrence provides the ability for secondary and tertiary prevention programs to optimize return to duty rates. Injury will be defined as any new musculoskeletal injury or the re-occurrence of the same injury during the 1-year surveillance period.

The battery of physical performance tests will include: Selective Functional Movement Assessment (SFMA), Functional Movement Screen (FMS), Upper Quarter Y-balance Test (YBT-UQ), Lower Quarter Y-balance Test (YBT-LQ), Closed Kinetic Chain Dorsiflexion (CKC DF), a Single Hop Test, Triple Hop Test, Triple Crossover Hop Test, Carry Test, and a un-weighted and weighted 300 yard Shuttle Run Test.

Each subject will then also be contacted monthly via a SMS (Short Message Service, e.g. text message) survey for the following year to identify information about additional injury or profile that they may have sustained during the prior period of time. Information about injury will also be calculated from patient chart reviews and Department of Defense healthcare utilization database (claims data). This will provide a robust method in which to capture data injury data regardless of subject availability for follow-up.

Subjects will be dichotomized as injured or non-injured based on the injury surveillance data. Key demographic, physical performance (FMS, YBT, SFMA, Hop Test, Carry test, & Shuttle Run), and self-report measures will be examined for group differences. Potential predictor variables will be entered into a backward stepwise logistic regression model to determine the most accurate set of variables predictive of musculoskeletal injury status.

Risk stratification (low, moderate, or high) will be based on likelihood ratios (LR) associated with the clinical prediction rule for injury outlined above. A positive LR > 10 will place the individual as high risk, a LR between 2 and 10 would place the individual as moderate risk. Those with a positive LR less than 2 will be listed as low risk.

Conditions

Musculoskeletal Injury; Spinal Injuries; Leg Injuries

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Study Groups

Return to Duty after Rehab from Injury

Patients deemed healthy enough to return to full duty without any restrictions after completing a course of rehabilitation for a lumbar/thoracic spine or lower extremity injury.

No interventions assigned to this group

Eligibility Criteria

Inclusion Criteria

1. Active duty service member eligible for Tricare benefits

2. Lower extremity or lumbar/thoracic spine injury is the patient's primary complaint.

3. Determined fit for duty (cleared to return to work) after completing a course of physical therapy for a lower extremity or lumbar/thoracic spine musculoskeletal injury

Exclusion Criteria

1. Individuals planing on leaving the military within the next 10 months.

2. Trauma or polytrauma that results in amputation of any limbs or appendages.

3. Pregnancy, or recently pregnant within the last 6 months - subjects that become pregnant during the course of the study will be withdrawn based on the different injury risk factors that are associated with pregnancy.

• Minimum Eligible Age: 18 Years
• Maximum Eligible Age: 45 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Womack Army Medical Center

FED

Sponsor Role: collaborator

William Beaumont Army Medical Center

FED

Sponsor Role: collaborator

Madigan Army Medical Center

FED

Sponsor Role: collaborator

Brooke Army Medical Center

FED

Sponsor Role: lead

Responsible Party

Dan Rhon

Director of Physical Therapy, Center for the Intrepid

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Daniel Rhon, DSc

Role: PRINCIPAL_INVESTIGATOR

Brooke Army Medical Center

Locations

Womack Army Medical Center

Fort Bragg, North Carolina, United States

William Beaumont Army Medical Center

Fort Bliss, Texas, United States

Brooke Army Medical Center

San Antonio, Texas, United States

Madigan Army Medical Center

Tacoma, Washington, United States

Countries

United States

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Other Identifiers

215032

Identifier Type: -

Identifier Source: org_study_id