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Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes

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Accommodation outcomes and the ICF framework.

Naomi Schreuer¹

¹Department of Occupational Therapy, Faculty of Welfare and Health Studies, University of Haifa, Mount Carmel, Haifa, Israel. schreuer@research.haifa.ac.il

Assistive Technology : the Official Journal of RESNA

|September 1, 2009

Summary

Environmental accommodations and assistive technology (AT) help people with disabilities return to work. This study empirically validates a framework for measuring AT outcomes, confirming key categories like use, effectiveness, and well-being.

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Published on: February 19, 2021

Area of Science:

Rehabilitation Science
Assistive Technology Research
Disability Studies

Background:

Environmental accommodations and technology are crucial for disability adjustment and community participation.
Existing models like the International Classification of Disability, Function, and Health (ICF) and Consortium for Assistive Technology Outcomes Research (CATOR) provide theoretical frameworks but lack empirical validation for assistive technology (AT).

Purpose of the Study:

To empirically examine a framework for identifying outcome measures related to AT accommodations.
To validate theoretical outcome categories for AT in the context of return to work and participation.

Main Methods:

Employed structural equation modeling (SEM) analysis.
Evaluated 90 adults with physical disabilities in their workstations one year post-adaptation.
Utilized a framework to identify outcome measures for AT accommodation.

Main Results:

The conceptual model and chosen outcome measures were confirmed (N=90, chi2(30) = 33.47, p > .05).
The study confirmed major theoretical outcome categories: use, match to person/activity, effectiveness, participation, and well-being.
Findings support the use of the proposed framework in assessing AT effectiveness.

Conclusions:

The empirical examination validates a framework for measuring AT accommodation outcomes.
The findings have implications for AT researchers and clinicians in evaluating the effectiveness of interventions.
Future research should explore clinical applications of the validated model and SEM analysis.