Criteria for Advanced Prosthetic Foot Prescription

Abstract

Prescription of prosthetic ankle-foot devices within the Veterans Affairs (VA) and Department of Defense (DoD) healthcare systems is often based on anecdotal evidence or manufacturer driven research. This study proposes to determine which patient goals and outcome measures are most indicative of an appropriate ankle-foot prosthesis that will yield the most successful and appropriate prescription. This investigation is a 4-site, 8-week, randomized, cross-over clinical trial. Subjects randomly receive 3 prosthetic feet (Energy storing and returning (ESR), Articulating, and Powered) with duplicate sockets. Each device is worn for 1 week of home use. Following each 1-week session, subjects are evaluated with several functional measures and subjective surveys. A subset of participants is randomly chosen to undergo a full biomechanical gait analysis for each foot. Following the data collection, participants receive all 3 prostheses for home use to determine self-selected user preference. Currently, 6 measures are sensitive to device type: PEQ Satisfaction/Frustration/Perceived Response/Sounds/Utility and OPUS Satisfaction with Device (Sum). All 6 measures indicate that ART>ESR>PWR.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2021
Accession Number
AD1154911

Entities

People

  • Ashley Knight
  • Jason Maikos

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Biomedical Research
  • Data Analysis
  • Department Of Defense
  • Health Services
  • Lower Limb Amputations
  • Lower Limb Prostheses
  • Management Personnel
  • Management Training
  • Medical Personnel
  • Military Medicine
  • Professional Development
  • Prostheses And Implants
  • Prosthetics
  • Puget Sound
  • Surgical Amputations
  • Training

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Rehabilitation and Prosthetic Care for Military Service Members and Veterans with Limb Loss or Disability.
  • Systems Analysis and Design