Literature DB >> 12048655

Establishing a standardized clinical assessment tool of pathologic and prosthetic hand function: normative data, reliability, and validity.

Colin M Light1, Paul H Chappell, Peter J Kyberd.   

Abstract

OBJECTIVE: To develop a new assessment procedure, the Southampton Hand Assessment Procedure (SHAP), that allows contextual results of hand function to be obtained readily in a clinical environment.
DESIGN: Reliability (test-retest, interrater) and validity (criterion, content) of new assessment procedure against standard medical outcome measure techniques.
SETTING: Normative data collected in a university laboratory. PARTICIPANTS: Twenty-four volunteers selected on the basis of optimum hand function using these criteria: age (range, 18-25 y), and no adverse hand trauma, neurologic condition, or disabling effects of the upper limb.
INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The normative control group was assessed for variability, and the procedure measured in terms of interrater and test-retest reliability. The absence of a direct comparison prevents a criterion standard from being established; however, content validity was shown by expert peer review.
RESULTS: The control group data were shown to be multivariate gaussian; test-retest and interrater reliability were demonstrated at the 95% confidence level. The content validity was demonstrated by peer panel approval.
CONCLUSIONS: Results of the control group established the statistical integrity of SHAP. Clinical trials are underway, although more extensive use of the procedure is advocated in primary care and rehabilitation centers where physiotherapy and occupational therapy are actively used in hand rehabilitation. Copyright 2002 by the American Congress of Rehabilitation Medicine and the American Academy of Physical Medicine and Rehabilitation

Entities:  

Mesh:

Year:  2002        PMID: 12048655     DOI: 10.1053/apmr.2002.32737

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


  64 in total

1.  Sensory feedback by peripheral nerve stimulation improves task performance in individuals with upper limb loss using a myoelectric prosthesis.

Authors:  Matthew Schiefer; Daniel Tan; Steven M Sidek; Dustin J Tyler
Journal:  J Neural Eng       Date:  2015-12-08       Impact factor: 5.379

2.  Functional Assessment of a Myoelectric Postural Controller and Multi-Functional Prosthetic Hand by Persons With Trans-Radial Limb Loss.

Authors:  Jacob L Segil; Stephen A Huddle; Richard F Ff Weir
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-06-30       Impact factor: 3.802

3.  Comparative study of state-of-the-art myoelectric controllers for multigrasp prosthetic hands.

Authors:  Jacob L Segil; Marco Controzzi; Richard F ff Weir; Christian Cipriani
Journal:  J Rehabil Res Dev       Date:  2014

Review 4.  Improving the functionality, robustness, and adaptability of myoelectric control for dexterous motion restoration.

Authors:  Dapeng Yang; Yikun Gu; Nitish V Thakor; Hong Liu
Journal:  Exp Brain Res       Date:  2018-11-30       Impact factor: 1.972

5.  Internal models of upper limb prosthesis users when grasping and lifting a fragile object with their prosthetic limb.

Authors:  Peter S Lum; Iian Black; Rahsaan J Holley; Jessica Barth; Alexander W Dromerick
Journal:  Exp Brain Res       Date:  2014-08-21       Impact factor: 1.972

6.  Motor performance benefits of matched limb imitation in prosthesis users.

Authors:  William F Cusack; Rebecca Patterson; Scott Thach; Robert S Kistenberg; Lewis A Wheaton
Journal:  Exp Brain Res       Date:  2014-03-19       Impact factor: 1.972

7.  A Comparison of Pattern Recognition Control and Direct Control of a Multiple Degree-of-Freedom Transradial Prosthesis.

Authors:  Todd A Kuiken; Laura A Miller; Kristi Turner; Levi J Hargrove
Journal:  IEEE J Transl Eng Health Med       Date:  2016-11-22       Impact factor: 3.316

8.  A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study.

Authors:  Aidan Dominic Roche; Ivan Vujaklija; Sebastian Amsüss; Agnes Sturma; Peter Göbel; Dario Farina; Oskar C Aszmann
Journal:  J Vis Exp       Date:  2015-11-06       Impact factor: 1.355

9.  Virtual reality environment for simulating tasks with a myoelectric prosthesis: an assessment and training tool.

Authors:  Joris M Lambrecht; Christopher L Pulliam; Robert F Kirsch
Journal:  J Prosthet Orthot       Date:  2011-04

10.  Movement variability in stroke patients and controls performing two upper limb functional tasks: a new assessment methodology.

Authors:  Sibylle B Thies; Phil A Tresadern; Laurence P Kenney; Joel Smith; David Howard; John Y Goulermas; Christine Smith; Julie Rigby
Journal:  J Neuroeng Rehabil       Date:  2009-01-23       Impact factor: 4.262

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