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

NCT02776930 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 480

Last updated 2020-01-18

No results posted yet for this study

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

Sponsors & Collaborators

  • Womack Army Medical Center

    collaborator FED

  • William Beaumont Army Medical Center

    collaborator FED

  • Madigan Army Medical Center

    collaborator FED

  • Brooke Army Medical Center

    lead FED

Principal Investigators

  • Daniel Rhon, DSc · Brooke Army Medical Center

Eligibility

Min Age
18 Years
Max Age
45 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2016-03-31
Primary Completion
2018-09-19
Completion
2019-11-19

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02776930 on ClinicalTrials.gov