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The effects of a manual therapy treatment based classification algorithm on tendinopathy: A dissertation of clinical practice improvement.

机译:基于手动疗法的分类算法对肌腱病的影响:改善临床实践的论文。

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摘要

The Dissertation of Clinical Practice Improvement (DoCPI) was designed to document each Doctorate of Athletic Training (DAT) student's individual journey to scholarly advanced practice. Self-reflection brought forth the means to identify strengths and weaknesses of one's clinical practice. Through reflection of patient care outcomes, students were able to identify trends specific to their clinic and determine personal growth as a clinician. The use of a treatment based-classification system to determine the most appropriate treatment for each patient was the leading trend that emerged in my clinic. The DoCPI concluded with a clinical based research project designed apriori to solve a local clinical problem; particularly, this research project was designed to restore function and decrease pain in patellar, Achilles, and lateral elbow tendinopathy patients.
机译:临床实践改进论文(DoCPI)旨在记录每位运动训练博士学位(DAT)学生的个人学术进阶实践之旅。自我反省提出了识别临床实践优劣的方法。通过反映患者的护理结果,学生能够确定特定于其诊所的趋势,并确定其作为临床医生的个人成长。使用基于治疗的分类系统为每个患者确定最合适的治疗方法是我诊所出现的主要趋势。 DoCPI结束了一项基于临床的研究项目,该项目设计了先验解决局部临床问题;特别是,该研究项目旨在恢复function骨,跟腱和外侧肘肌腱病患者的功能并减轻其疼痛。

著录项

  • 作者

    Matocha, Monica.;

  • 作者单位

    University of Idaho.;

  • 授予单位 University of Idaho.;
  • 学科 Medicine.
  • 学位 D.A.T.
  • 年度 2016
  • 页码 223 p.
  • 总页数 223
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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