BACKGROUND:Employment is an essential component of life as it provides income, sense of engagement and opportunities for personal development. Unemployment due to disability following an accident may have dramatic social and psychological consequences on individuals; it is thus fundamental to foster return to work of these persons. OBJECTIVE:The present work was aimed to develop a methodology determining suitable jobs for people living with disability after a job-related accident. METHODS:The Occupational Information Network (O*NET) taxonomy was combined with the International Classification of Functioning, Disability and Health (ICF) to match individual resources with specific jobs requirements. ICF Linking Rules were employed by two independent groups of researchers to associate ICF codes to O*NET skills and abilities descriptors. RESULTS:O*NET descriptors were linked to 92 unique ICF codes. A "Criticality score" combining ICF and O*NET features to assess suitability of selected jobs for persons with disabilities was also proposed. CONCLUSIONS:The proposed methodology represents a novel instrument to support return to work; the capability to assess specific work-related facets through the lens of both the ICF model and O*NET taxonomy would conceivably provide vocational rehabilitation specialists and occupational therapists with a useful tool fostering job placement of workers with disability.

Proposal for an ICF-based methodology to foster the return to work of persons with disability

Spoladore Daniele;Arlati Sara;Sacco Marco
2022

Abstract

BACKGROUND:Employment is an essential component of life as it provides income, sense of engagement and opportunities for personal development. Unemployment due to disability following an accident may have dramatic social and psychological consequences on individuals; it is thus fundamental to foster return to work of these persons. OBJECTIVE:The present work was aimed to develop a methodology determining suitable jobs for people living with disability after a job-related accident. METHODS:The Occupational Information Network (O*NET) taxonomy was combined with the International Classification of Functioning, Disability and Health (ICF) to match individual resources with specific jobs requirements. ICF Linking Rules were employed by two independent groups of researchers to associate ICF codes to O*NET skills and abilities descriptors. RESULTS:O*NET descriptors were linked to 92 unique ICF codes. A "Criticality score" combining ICF and O*NET features to assess suitability of selected jobs for persons with disabilities was also proposed. CONCLUSIONS:The proposed methodology represents a novel instrument to support return to work; the capability to assess specific work-related facets through the lens of both the ICF model and O*NET taxonomy would conceivably provide vocational rehabilitation specialists and occupational therapists with a useful tool fostering job placement of workers with disability.
2022
Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato - STIIMA (ex ITIA)
International classification of functioning
disability and health
occupational information network
ICF linking rules
return to work
workers with disability
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/414562
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