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Development and acceptability testing of decision trees for self-management of prosthetic socket fit in adults with lower limb amputation
Authors:Daniel Joseph Lee  Diana A Veneri
Institution:1. Department of Rehabilitation Sciences, University of Hartford, West Hartford, CT, USA;2. Department of Physical Therapy, Sacred Heart University, Fairfield, CT, USA
Abstract:Purpose: The most common complaint lower limb prosthesis users report is inadequacy of a proper socket fit. Adjustments to the residual limb–socket interface can be made by the prosthesis user without consultation of a clinician in many scenarios through skilled self-management. Decision trees guide prosthesis wearers through the self-management process, empowering them to rectify fit issues, or referring them to a clinician when necessary. This study examines the development and acceptability testing of patient-centered decision trees for lower limb prosthesis users.

Methods: Decision trees underwent a four-stage process: literature review and expert consultation, designing, two-rounds of expert panel review and revisions, and target audience testing.

Results: Fifteen lower limb prosthesis users (average age 61 years) reviewed the decision trees and completed an acceptability questionnaire. Participants reported agreement of 80% or above in five of the eight questions related to acceptability of the decision trees. Disagreement was related to the level of experience of the respondent.

Conclusions: Decision trees were found to be easy to use, illustrate correct solutions to common issues, and have terminology consistent with that of a new prosthesis user. Some users with greater than 1.5 years of experience would not use the decision trees based on their own self-management skills.

  • Implications for Rehabilitation
  • Discomfort of the residual limb-prosthetic socket interface is the most common reason for clinician visits.

  • Prosthesis users can use decision trees to guide them through the process of obtaining a proper socket fit independently.

  • Newer users may benefit from using the decision trees more than experienced users.

Keywords:Amputee  education  prosthesis  decision tree  self-management
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