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    Treating Chronic Low Back Pain Without Opioids

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    Author
    Pendleton, Shane
    Issue Date
    2019
    Advisor
    Perez, Linda
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    The purpose of this thesis is to address the significance of chronic low back pain in the United States, as well as the surge in opioid use. In the United States, opioids have become the most commonly prescribed class of drug. Because of their addictive nature, their propensity to cause physical dependence, the body’s inevitable natural tolerance, and the risk of overdose, opioids cannot be considered an effective treatment for chronic back pain management. Increasing abdominal muscle strength has been shown to significantly reduce lower back pain. Therefore, this paper will focus on interventions including yoga, Pilates, and core stabilization programs. This paper will propose an evidence-based algorithm for the implementation of movement therapies. Primary care providers will utilize a stoplight visual to help the patient determine appropriate therapy to be implemented based on pain. The patient would rate their pain each day and follow the protocol for the corresponding category. Different interventions would be used based on three different categories: green (pain score: 0-3), yellow (pain score: 4-7), and red (pain score: 8-10). The author proposes that this algorithm will result in decreases in pain, use of opioid medications, and cost of pain management for chronic low back pain.
    Type
    text
    Electronic Thesis
    Degree Name
    B.S.
    Degree Program
    Honors College
    Nursing
    Degree Grantor
    University of Arizona
    Collections
    Honors Theses

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