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Related Experiment Videos

Classification of hand splinting.

Simon K M Wong1

  • 1Occupational Therapy Department, Tai Po Hospital, Tai Po, New Territories, Hong Kong. kmwong@ha.org.hk

Hand Surgery : an International Journal Devoted to Hand and Upper Limb Surgery and Related Research : Journal of the Asia-Pacific Federation of Societies for Surgery of the Hand
|February 22, 2003
PubMed
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Standardizing splint and orthosis classification is challenging, with no universal system. A combined approach using precision and logical deduction may improve future classification systems for hand splints.

Area of Science:

  • Orthotics and Prosthetics
  • Rehabilitation Medicine
  • Biomedical Engineering

Background:

  • Current terminology for splints and orthoses lacks a universally adopted classification system.
  • Existing systems for classifying hand splints include eponyms, acronyms, descriptive systems, and the American Society of Hand Therapists' classification.
  • These systems utilize rote memory or logical deduction for grouping splints.

Purpose of the Study:

  • To review and analyze existing classification systems for hand splints.
  • To identify the advantages and disadvantages of each classification method.
  • To explore potential improvements for a standardized classification system.

Main Methods:

  • Literature review of hand splint classification systems.

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  • Analysis of four distinct classification approaches: eponym, acronym, descriptive, and American Society of Hand Therapists.
  • Evaluation of the strengths and weaknesses of each system.

    • Main Results:

    • No single classification system for splints or orthoses is universally adopted.
    • Each reviewed system (eponym, acronym, descriptive, ASHTh) has inherent advantages and disadvantages.
    • Current systems vary in their reliance on rote memory versus logical deduction.

    Conclusions:

    • No single existing classification system for hand splints is superior.
    • A novel system could benefit from combining advantages of existing methods, such as precision and logical deduction.
    • Future classification systems should also consider factors like communication, documentation, and environmental influences.