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Optimizing treatment protocols for spinal manipulative therapy: study protocol for a randomized trial.

Julie M Fritz1, Jason A Sharpe2, Elizabeth Lane2

  • 1College of Health, University of Utah, 520 Wakara Way, Salt Lake City, UT, 84108, USA. julie.fritz@utah.edu.

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Summary
This summary is machine-generated.

This study refines spinal manipulative therapy (SMT) for low back pain by testing exercise combinations to enhance its effects. The goal is to create a more effective, scalable SMT protocol for better patient outcomes.

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Factorial designLow back painMultiphase optimizationSpinal manipulative therapy

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Area of Science:

  • Biomedical Engineering
  • Clinical Medicine
  • Rehabilitation Science

Background:

  • Low back pain (LBP) is a prevalent and costly condition.
  • Spinal manipulative therapy (SMT) is a recommended treatment, but clinical trials show small effect sizes.
  • Understanding SMT mechanisms, like spinal stiffness and multifidus activation, is key to improving efficacy.

Purpose of the Study:

  • To identify an optimized SMT protocol by examining co-intervention exercise strategies.
  • To accentuate known SMT mechanisms through targeted exercises.
  • To develop a scalable SMT protocol for clinical practice and future trials.

Main Methods:

  • A phased, factorial randomized trial design evaluates eight combinations of SMT and exercise co-interventions.
  • Mechanistic outcomes (spinal stiffness, multifidus activation) and patient-reported outcomes (pain, disability) are assessed.
  • Participants receive initial SMT, then are randomized to additional SMT and/or exercise over three weeks.

Main Results:

  • The study is designed to evaluate main and interaction effects of SMT and exercise components.
  • Mechanistic and patient-reported outcomes will be compared across intervention combinations.
  • Results will inform the refinement of SMT protocols for LBP.

Conclusions:

  • This trial is a crucial refinement phase within a multi-phase optimization strategy (MOST) for SMT in LBP.
  • Findings will build on preliminary data regarding SMT mechanisms.
  • Successful optimization aims to increase treatment benefits and improve patient outcomes for LBP.