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

Musculoskeletal Injury Clinical Trial

— MP3-RD  

Official title:

Development of Predictive Models for Lower Extremity, Lumbar, and Thoracic Injury After Discharge From Physical Rehabilitation

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT02776930
• Other study ID #: 215032
• Status: Completed
• Start date: March 2016
• Est. completion date: November 19, 2019

Study information

• Verified date: January 2020
• Source: Brooke Army Medical Center
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial 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.

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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 480
• Est. completion date: November 19, 2019
• Est. primary completion date: September 19, 2018
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years to 45 Years

Eligibility

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.

Related Conditions & MeSH terms

• Leg Injuries
• Musculoskeletal Injury
• Spinal Injuries
• Wounds and Injuries

Locations

Country	Name	City	State
United States	William Beaumont Army Medical Center	Fort Bliss	Texas
United States	Womack Army Medical Center	Fort Bragg	North Carolina
United States	Brooke Army Medical Center	San Antonio	Texas
United States	Madigan Army Medical Center	Tacoma	Washington

Sponsors (4)

Lead Sponsor	Collaborator
Brooke Army Medical Center	Madigan Army Medical Center, William Beaumont Army Medical Center, Womack Army Medical Center

Country where clinical trial is conducted

United States, 

References & Publications (16)

Bahr R. Why screening tests to predict injury do not work-and probably never will…: a critical review. Br J Sports Med. 2016 Jul;50(13):776-80. doi: 10.1136/bjsports-2016-096256. Epub 2016 Apr 19. Review. — View Citation

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 20 — View Citation

Butler RJ, Contreras M, Burton LC, Plisky PJ, Goode A, Kiesel K. Modifiable risk factors predict injuries in firefighters during training academies. Work. 2013 Jan 1;46(1):11-7. doi: 10.3233/WOR-121545. — View Citation

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: 10.15 — View Citation

Ernat J, Knox J, Orchowski J, Owens B. Incidence and risk factors for acute low back pain in active duty infantry. Mil Med. 2012 Nov;177(11):1348-51. — View Citation

Jones BH, Perrotta DM, Canham-Chervak ML, Nee MA, Brundage JF. Injuries in the military: a review and commentary focused on prevention. Am J Prev Med. 2000 Apr;18(3 Suppl):71-84. — View Citation

Jones BH, Thacker SB, Gilchrist J, Kimsey CD Jr, Sosin DM. Prevention of lower extremity stress fractures in athletes and soldiers: a systematic review. Epidemiol Rev. 2002;24(2):228-47. Review. — View Citation

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. — View Citation

Knapik JJ, Graham B, Cobbs J, Thompson D, Steelman R, Jones BH. A prospective investigation of injury incidence and injury risk factors among Army recruits in military police training. BMC Musculoskelet Disord. 2013 Jan 17;14:32. doi: 10.1186/1471-2474-14-32. — View Citation

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. — View Citation

Larsson H, Broman L, Harms-Ringdahl K. Individual risk factors associated with premature discharge from military service. Mil Med. 2009 Jan;174(1):9-20. — View Citation

Lehr ME, Plisky PJ, Butler RJ, Fink ML, Kiesel KB, Underwood FB. Field-expedient screening and injury risk algorithm categories as predictors of noncontact lower extremity injury. Scand J Med Sci Sports. 2013 Aug;23(4):e225-32. doi: 10.1111/sms.12062. Epub 2013 Mar 20. — View Citation

Lincoln AE, Smith GS, Amoroso PJ, Bell NS. The natural history and risk factors of musculoskeletal conditions resulting in disability among US Army personnel. Work. 2002;18(2):99-113. — View Citation

Parkkari J, Kujala UM, Kannus P. Is it possible to prevent sports injuries? Review of controlled clinical trials and recommendations for future work. Sports Med. 2001;31(14):985-95. Review. — View Citation

Peate WF, Bates G, Lunda K, Francis S, Bellamy K. Core strength: a new model for injury prediction and prevention. J Occup Med Toxicol. 2007 Apr 11;2:3. — View Citation

Wilkinson DM, Blacker SD, Richmond VL, Horner FE, Rayson MP, Spiess A, Knapik JJ. Injuries and injury risk factors among British army infantry soldiers during predeployment training. Inj Prev. 2011 Dec;17(6):381-7. doi: 10.1136/ip.2010.028233. Epub 2011 Apr 19. — View Citation

* Note: There are 16 references in all — Click here to view all references

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Injury Occurrence	Monthly SMS survey capturing new musculoskeletal injury since the prior survey	1 year
Secondary	Injury-Related Healthcare Utilization	Healthcare utilization for musculoskeletal injury taken from the Tricare claims database (MHS Data Repository)	1 year