Literature DB >> 23085376

Development and evaluation of the activities measure for upper limb amputees.

Linda Resnik1, Laurel Adams, Matthew Borgia, Jemy Delikat, Roxanne Disla, Christopher Ebner, Lisa Smurr Walters.   

Abstract

OBJECTIVES: (1) To develop a measure of activities for adults with upper limb amputation: the Activities Measure for Upper Limb Amputees (AM-ULA); and (2) to conduct initial psychometric evaluation of the measure.
DESIGN: This was a cohort study where the prototype measure was administered twice within 1 week. Tests were videotaped and graded by 2 independent raters. Interrater reliability, test-retest reliability, internal consistency, and minimal detectable change were estimated. Known group validity was examined using analyses of variance comparing scores of transradial, transhumeral, and shoulder level amputees. Convergent validity was examined by correlating AM-ULA scores with dexterity tests and self-reported function.
SETTING: Hospital outpatient. PARTICIPANTS: Subjects (N=52) with upper limb amputation.
INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Not applicable.
RESULTS: Intraclass correlation coefficients (ICCs) for test-retest reliability were .88 to .91. ICCs for interrater reliability were .84 to .89. Cronbach alphas were .89 to .91. The minimal detectable change at the 90% confidence interval was 3.7 points. Subjects with more distal levels of limb loss had better scores than those with more proximal levels (P<.01). The AM-ULA was moderately correlated with most dexterity tests and self-reported function.
CONCLUSIONS: The AM-ULA is a new measure of activity performance for adults with upper limb amputation that considers task completion, speed, movement quality, skillfulness of prosthetic use, and independence in its rating system. It has good interrater reliability, test-retest reliability, and demonstrated known group validity.
Copyright © 2013 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 23085376     DOI: 10.1016/j.apmr.2012.10.004

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  20 in total

1.  Cognitive Characteristics Associated With Device Adoption, Skill Retention, and Early Withdrawal From a Study of an Advanced Upper Limb Prosthesis.

Authors:  Jacob Lafo; Stephen Correia; Matthew Borgia; Frantzy Acluche; Linda Resnik
Journal:  Am J Phys Med Rehabil       Date:  2019-10       Impact factor: 2.159

2.  Grasp Performance of a Soft Synergy-Based Prosthetic Hand: A Pilot Study.

Authors:  Alycia S Gailey; Sasha Blue Godfrey; Ryan E Breighner; Karen L Andrews; Kristin D Zhao; Antonio Bicchi; Marco Santello
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-12       Impact factor: 3.802

3.  An Alternative Myoelectric Pattern Recognition Approach for the Control of Hand Prostheses: A Case Study of Use in Daily Life by a Dysmelia Subject.

Authors:  Enzo Mastinu; Johan Ahlberg; Eva Lendaro; Liselotte Hermansson; Bo Hakansson; Max Ortiz-Catalan
Journal:  IEEE J Transl Eng Health Med       Date:  2018-03-12       Impact factor: 3.316

Review 4.  Evaluation of Performance-Based Outcome Measures for the Upper Limb: A Comprehensive Narrative Review.

Authors:  Sophie Wang; C Janice Hsu; Lauren Trent; Tiffany Ryan; Nathan T Kearns; Eugene F Civillico; Kimberly L Kontson
Journal:  PM R       Date:  2018-02-21       Impact factor: 2.298

5.  Use of the DEKA Arm for amputees with brachial plexus injury: A case series.

Authors:  Linda Resnik; Christopher Fantini; Gail Latlief; Samuel Phillips; Nicole Sasson; Eve Sepulveda
Journal:  PLoS One       Date:  2017-06-19       Impact factor: 3.240

6.  Characterization of normative hand movements during two functional upper limb tasks.

Authors:  Aïda M Valevicius; Quinn A Boser; Ewen B Lavoie; Glyn S Murgatroyd; Patrick M Pilarski; Craig S Chapman; Albert H Vette; Jacqueline S Hebert
Journal:  PLoS One       Date:  2018-06-21       Impact factor: 3.240

7.  A practical 3D-printed soft robotic prosthetic hand with multi-articulating capabilities.

Authors:  Alireza Mohammadi; Jim Lavranos; Hao Zhou; Rahim Mutlu; Gursel Alici; Ying Tan; Peter Choong; Denny Oetomo
Journal:  PLoS One       Date:  2020-05-14       Impact factor: 3.240

8.  A novel framework for designing a multi-DoF prosthetic wrist control using machine learning.

Authors:  Chinmay P Swami; Nicholas Lenhard; Jiyeon Kang
Journal:  Sci Rep       Date:  2021-07-22       Impact factor: 4.379

9.  How do the outcomes of the DEKA Arm compare to conventional prostheses?

Authors:  Linda J Resnik; Matthew L Borgia; Frantzy Acluche; Jill M Cancio; Gail Latlief; Nicole Sasson
Journal:  PLoS One       Date:  2018-01-17       Impact factor: 3.240

10.  Evaluation of EMG pattern recognition for upper limb prosthesis control: a case study in comparison with direct myoelectric control.

Authors:  Linda Resnik; He Helen Huang; Anna Winslow; Dustin L Crouch; Fan Zhang; Nancy Wolk
Journal:  J Neuroeng Rehabil       Date:  2018-03-15       Impact factor: 4.262

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.