Literature DB >> 33377803

Current rates of prosthetic usage in upper-limb amputees - have innovations had an impact on device acceptance?

Stefan Salminger1,2, Heiko Stino2, Lukas H Pichler3, Clemens Gstoettner2, Agnes Sturma2,4, Johannes A Mayer2, Michael Szivak5, Oskar C Aszmann1,2.   

Abstract

PURPOSE: There is a large body of evidence demonstrating high rates of prosthesis abandonment in the upper extremity. However, these surveys were conducted years ago, thus the influence of recent refinements in prosthetic technology on acceptance is unknown. This study aims to gather current data on prosthetic usage, to assess the effects of these advancements.
MATERIALS AND METHODS: A questionnaire was sent to 68 traumatic upper limb amputees treated within the Austrian Trauma Insurance Agency between the years 1996 and 2016. Responses were grouped by the year of amputation to assess the effect of time.
RESULTS: The rejection rate at all levels of amputation was 44%. There was no significant difference in acceptance between responders amputated before or after 2006 (p = 0.939). Among users, 92.86% (n = 13) used a myoelectric, while only one amputee (7.14%, n = 1) used a body-powered device. Most responders complained about the comfort (60.87%, n = 14) as well as the weight of the device (52.17%, n = 12).
CONCLUSIONS: The advancements of the last decade in the arena of upper limb prosthetics have not yet achieved a significant change in prosthetic abandonment within this study cohort. Although academic solutions have been presented to tackle patient's complaints, clinical reality still shows high rejection rates of cost-intensive prosthetic devices.Implications for rehabilitationAbandonment rates in prosthetic rehabilitation after upper limb amputation have shown to be 50% and higher.The advancements of the last decade in the arena of upper limb prosthetics have not yet achieved a significant change in prosthetic abandonment.Well-structured and patient-tailored prosthetic training as well as ensuring the amputee's active participation in the decision making process will most likely improve prosthetic acceptance.

Entities:  

Keywords:  Amputation; prosthesis; prosthesis abandonment; prosthetic rehabilitation; upper limb

Mesh:

Year:  2020        PMID: 33377803     DOI: 10.1080/09638288.2020.1866684

Source DB:  PubMed          Journal:  Disabil Rehabil        ISSN: 0963-8288            Impact factor:   2.439


  6 in total

1.  A Multi-User Transradial Functional-Test Socket for Validation of New Myoelectric Prosthetic Control Strategies.

Authors:  Taylor C Hansen; Abigail R Citterman; Eric S Stone; Troy N Tully; Christopher M Baschuk; Christopher C Duncan; Jacob A George
Journal:  Front Neurorobot       Date:  2022-06-17       Impact factor: 3.493

2.  Continuous Semi-autonomous Prosthesis Control Using a Depth Sensor on the Hand.

Authors:  Miguel Nobre Castro; Strahinja Dosen
Journal:  Front Neurorobot       Date:  2022-03-25       Impact factor: 2.650

3.  Experience of adults with upper-limb difference and their views on sensory feedback for prostheses: a mixed methods study.

Authors:  Leen Jabban; Benjamin W Metcalfe; Jonathan Raines; Dingguo Zhang; Ben Ainsworth
Journal:  J Neuroeng Rehabil       Date:  2022-07-23       Impact factor: 5.208

4.  Evaluation of Simple Algorithms for Proportional Control of Prosthetic Hands Using Intramuscular Electromyography.

Authors:  Nebojsa Malesevic; Anders Björkman; Gert S Andersson; Christian Cipriani; Christian Antfolk
Journal:  Sensors (Basel)       Date:  2022-07-05       Impact factor: 3.847

5.  EMG feedback outperforms force feedback in the presence of prosthesis control disturbance.

Authors:  Jack Tchimino; Jakob Lund Dideriksen; Strahinja Dosen
Journal:  Front Neurosci       Date:  2022-09-20       Impact factor: 5.152

6.  Co-creation and User Perspectives for Upper Limb Prosthetics.

Authors:  Hannah Jones; Sigrid Dupan; Matthew Dyson; Agamemnon Krasoulis; Laurence P J Kenney; Margaret Donovan-Hall; Kaveh Memarzadeh; Sarah Day; Maxford Coutinho; Kianoush Nazarpour
Journal:  Front Neurorobot       Date:  2021-07-09       Impact factor: 2.650

  6 in total

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