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

NCT02776930 | Completed

• 1 other identifier: 215032
• Study Type: observational
• Target: 480
• Locations: 1 country
• Sites: 4

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.

Conditions

Musculoskeletal Injury; Spinal Injuries; Leg Injuries

Keywords

Injury Prediction; Return to Work; Injury Prevention

Outcome Measures

Primary Outcomes (1)

• Injury Occurrence

  Monthly SMS survey capturing new musculoskeletal injury since the prior survey

  1 year

Secondary Outcomes (1)

• Injury-Related Healthcare Utilization

  1 year

Study Arms (1)

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.

Eligibility Criteria

• Age: 18 Years - 45 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64)
• Sampling Method: Non-Probability Sample

Study Population

Active duty service members that have completed a course of physical therapy for a spine or lower extremity injury, and then discharged to return to full duty.

You may qualify if:

• Active duty service member eligible for Tricare benefits
• Lower extremity or lumbar/thoracic spine injury is the patient's primary complaint.
• 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

You may not qualify if:

• Individuals planing on leaving the military within the next 10 months.
• Trauma or polytrauma that results in amputation of any limbs or appendages.
• 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.

Sponsors & Collaborators

• Brooke Army Medical Center: lead
• Womack Army Medical Center: collaborator
• William Beaumont Army Medical Center: collaborator
• Madigan Army Medical Center: collaborator

Study Sites (4)

Womack Army Medical Center

Fort Bragg, North Carolina, 28307, United States

Location

William Beaumont Army Medical Center

Fort Bliss, Texas, 79920, United States

Location

Brooke Army Medical Center

San Antonio, Texas, 78234, United States

Location

Madigan Army Medical Center

Tacoma, Washington, 98431, United States

Location

Related Publications (18)

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  PMID: 10736543 RESULT

• Knapik JJ, Bullock SH, Canada S, Toney E, Wells JD, Hoedebecke E, Jones BH. Influence of an injury reduction program on injury and fitness outcomes among soldiers. Inj Prev. 2004 Feb;10(1):37-42. doi: 10.1136/ip.2003.002808.

  PMID: 14760025 RESULT

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  PMID: 11735682 RESULT

• de la Motte SJ, Lisman P, Sabatino M, Beutler AI, O'Connor FG, Deuster PA. The Relationship Between Functional Movement, Balance Deficits, and Previous Injury History in Deploying Marine Warfighters. J Strength Cond Res. 2016 Jun;30(6):1619-25. doi: 10.1519/JSC.0000000000000850.

  PMID: 26964060 RESULT

• Kodesh E, Shargal E, Kislev-Cohen R, Funk S, Dorfman L, Samuelly G, Hoffman JR, Sharvit N. Examination of the Effectiveness of Predictors for Musculoskeletal Injuries in Female Soldiers. J Sports Sci Med. 2015 Aug 11;14(3):515-21. eCollection 2015 Sep.

  PMID: 26336337 RESULT

• Bonazza NA, Smuin D, Onks CA, Silvis ML, Dhawan A. Reliability, Validity, and Injury Predictive Value of the Functional Movement Screen: A Systematic Review and Meta-analysis. Am J Sports Med. 2017 Mar;45(3):725-732. doi: 10.1177/0363546516641937. Epub 2016 Jul 21.

  PMID: 27159297 RESULT

• Rhon DI, Plisky PJ, Kiesel K, Greenlee TA, Bullock GS, Shaffer SW, Goffar SL, Teyhen DS. Predicting Subsequent Injury after Being Cleared to Return to Work from Initial Lumbar or Lower Extremity Injury. Med Sci Sports Exerc. 2023 Dec 1;55(12):2115-2122. doi: 10.1249/MSS.0000000000003257. Epub 2023 Jul 27.

  PMID: 37486770 DERIVED

• Rhon DI, Teyhen DS, Shaffer SW, Goffar SL, Kiesel K, Plisky PP. Developing predictive models for return to work using the Military Power, Performance and Prevention (MP3) musculoskeletal injury risk algorithm: a study protocol for an injury risk assessment programme. Inj Prev. 2018 Feb;24(1):81-88. doi: 10.1136/injuryprev-2016-042234. Epub 2016 Nov 24.

  PMID: 27884941 DERIVED

MeSH Terms

Conditions

Spinal Injuries; Leg Injuries

Condition Hierarchy (Ancestors)

Back Injuries; Wounds and Injuries

Study Officials

• Daniel Rhon, DSc

  Brooke Army Medical Center

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: FED
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Director of Physical Therapy, Center for the Intrepid

Study Record Dates

• First Submitted: May 17, 2016
• First Posted: May 18, 2016
• Study Start: March 1, 2016
• Primary Completion: September 19, 2018
• Study Completion: November 19, 2019
• Last Updated: January 18, 2020

Record last verified: 2020-01

Locations

US (4)