Development of a New Self-Rating Tool for Assessing Work Capability in Individuals with Mental Disorders and/or Intellectual Disabilities: The Revised Mini-ICF-App-S (RMIAS) and its Psychometric Properties.

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Title: Development of a New Self-Rating Tool for Assessing Work Capability in Individuals with Mental Disorders and/or Intellectual Disabilities: The Revised Mini-ICF-App-S (RMIAS) and its Psychometric Properties.
Authors: Aoki, Sayaka1 sayaka-aoki@g.ecc.u-tokyo.ac.jp, Matsukiyo, Ayumi1, Kondo, Takeo1
Source: Journal of Vocational Rehabilitation. May2025, Vol. 62 Issue 3, p325-336. 12p.
Subject Terms: *Research methodology evaluation, *Experimental design, *Intellectual disabilities, *Research methodology, *Factor analysis, *Supported employment, Multitrait multimethod techniques, Work capacity evaluation, Mental illness, Questionnaires, People with mental illness, Psychometrics, Statistical reliability
Geographic Terms: Japan
Abstract: Background: There is a growing need for a self-assessment tool to evaluate work capacity that can be used by people with a range of disabilities, including those with cognitive and language impairments. Objective: This study aimed to create and test a new self-rating scale, the RMIAS, for assessing work capacity in Japanese. The RMIAS is an updated version of the Mini-ICF-APP-S, designed to be suitable not only for individuals with mental disabilities but also for those with mild intellectual disabilities. Methods: We conducted two surveys – one with 155 users of a disability employment support center and another with 145 people from the general adult population. The Mini-ICF-APP-S was revised to ensure that people with mild cognitive or language impairments could understand and respond to the questions effectively. Resutls: Responses to the questions were well-distributed. Factor analyses showed that the RMIAS measures almost the same concepts as the Mini-ICF-APP-S. The test-retest reliability over 1–5 weeks was moderate and the RMIAS subscale scores were correlated with those of WHO-DAS 2 as expected. Conclusion: We successfully developed the RMIAS, a revised version of the Mini-ICF-App-S, and demonstrated its reliability and validity. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Vocational Rehabilitation is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Development of a New Self-Rating Tool for Assessing Work Capability in Individuals with Mental Disorders and/or Intellectual Disabilities: The Revised Mini-ICF-App-S (RMIAS) and its Psychometric Properties.
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– Name: Abstract
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  Data: Background: There is a growing need for a self-assessment tool to evaluate work capacity that can be used by people with a range of disabilities, including those with cognitive and language impairments. Objective: This study aimed to create and test a new self-rating scale, the RMIAS, for assessing work capacity in Japanese. The RMIAS is an updated version of the Mini-ICF-APP-S, designed to be suitable not only for individuals with mental disabilities but also for those with mild intellectual disabilities. Methods: We conducted two surveys – one with 155 users of a disability employment support center and another with 145 people from the general adult population. The Mini-ICF-APP-S was revised to ensure that people with mild cognitive or language impairments could understand and respond to the questions effectively. Resutls: Responses to the questions were well-distributed. Factor analyses showed that the RMIAS measures almost the same concepts as the Mini-ICF-APP-S. The test-retest reliability over 1–5 weeks was moderate and the RMIAS subscale scores were correlated with those of WHO-DAS 2 as expected. Conclusion: We successfully developed the RMIAS, a revised version of the Mini-ICF-App-S, and demonstrated its reliability and validity. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Vocational Rehabilitation is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1177/10522263251326525
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        Text: English
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        PageCount: 12
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      – SubjectFull: Research methodology evaluation
        Type: general
      – SubjectFull: Experimental design
        Type: general
      – SubjectFull: Intellectual disabilities
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      – SubjectFull: Research methodology
        Type: general
      – SubjectFull: Factor analysis
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      – SubjectFull: Supported employment
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      – SubjectFull: Multitrait multimethod techniques
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      – SubjectFull: Work capacity evaluation
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      – SubjectFull: Mental illness
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      – SubjectFull: Questionnaires
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      – SubjectFull: People with mental illness
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      – SubjectFull: Psychometrics
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      – SubjectFull: Statistical reliability
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      – SubjectFull: Japan
        Type: general
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      – TitleFull: Development of a New Self-Rating Tool for Assessing Work Capability in Individuals with Mental Disorders and/or Intellectual Disabilities: The Revised Mini-ICF-App-S (RMIAS) and its Psychometric Properties.
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            NameFull: Aoki, Sayaka
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            – D: 01
              M: 05
              Text: May2025
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