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Related Experiment Video

Updated: Mar 9, 2026

Capturing Representative Hand Use at Home Using Egocentric Video in Individuals with Upper Limb Impairment

Capturing Representative Hand Use at Home Using Egocentric Video in Individuals with Upper Limb Impairment

Published on: December 23, 2020

Development of an Upper Extremity Function Measurement Model.

Ickpyo Hong¹, Annie N Simpson, Chih-Ying Li

¹Craig A. Velozo, Division of Occupational Therapy, College of Health Professions, Medical University of South Carolina, Rm B330, 151-B Rutledge Avenue, MSC 962, Charleston, SC 29425, USA, velozo@musc.edu.

Journal of Applied Measurement

|December 28, 2016

Summary

This summary is machine-generated.

Object weight and lifting distance are key predictors of gross upper-extremity function (GUE). These factors explained 83% of the variance in a new GUE measurement model, highlighting their importance in assessing patient function.

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Published on: March 28, 2018

Area of Science:

Rehabilitation Science
Occupational Therapy
Measurement in Health Sciences

Background:

Assessing gross upper-extremity function (GUE) is crucial for rehabilitation outcomes.
Existing measurement models may not fully capture the functional demands of daily tasks.
The International Classification of Functioning, Disability and Health (ICF) provides a framework for describing health and disability.

Purpose of the Study:

To develop and validate a measurement model for gross upper-extremity function (GUE) using Rasch analysis.
To identify the key predictors contributing to the challenge of GUE test items.
To enhance the understanding of factors influencing upper-extremity task performance in outpatients.

Main Methods:

Development of a measurement model for GUE based on 27 ICF-GUE test items.
Utilized Rasch calibration to establish the dependent variable (item difficulty).
Employed multiple regression analysis with object weight, lifting distance, carrying, and lifting as independent variables in a sample of 203 outpatients.

Main Results:

Object weight and lifting distance were the only statistically and clinically significant predictors, explaining 83% of the variance in the GUE model (p < 0.01).
Each one-pound increase in object weight increased item challenge by 0.16 logits (p < 0.00).
Each one-inch increase in lifting distance from the floor increased item challenge by 0.02 logits (p < 0.02).

Conclusions:

Object weight and lifting distance are primary determinants of item challenge within the ICF-GUE measurement model.
The findings suggest a simplified approach to assessing GUE by focusing on these critical physical parameters.
This model provides valuable insights for clinicians and researchers evaluating upper-extremity function in outpatient settings.