Literature DB >> 15785265

Toward a taxonomy of assistive technology device outcomes.

Jeffrey W Jutai1, Marcus J Fuhrer, Louise Demers, Marcia J Scherer, Frank DeRuyter.   

Abstract

The advancement of assistive technology device (ATD) outcomes research requires a substantive taxonomy for ATD outcomes. This article describes the assumptions and principles that should underlie such a taxonomy. It advocates for an approach to classifying outcomes that would promote consistency in how ATDs are distinguished, based on their intended effect on the user. The approach is designed to accommodate the widest variety of ATD applications, reflecting combinations of user population, ATD type, service, and context for use. In essence, the provisional taxonomy proposes that ATD outcomes can be effectively operationalized from three vantages--effectiveness, social significance, and subjective well-being. It emphasizes a distinction between the proximal effect of ATDs and the more distal outcomes associated with their use. Because it promotes consistency in the language used for categorizing outcomes, the taxonomic approach should facilitate the development of ATD-specific causal models. The utility of a taxonomy in ATD outcomes research is discussed.

Mesh:

Year:  2005        PMID: 15785265     DOI: 10.1097/01.phm.0000157313.88732.dc

Source DB:  PubMed          Journal:  Am J Phys Med Rehabil        ISSN: 0894-9115            Impact factor:   2.159


  5 in total

1.  A quality-of-life scale for assistive technology: results of a pilot study of aging and technology.

Authors:  Emily M Agree; Vicki A Freedman
Journal:  Phys Ther       Date:  2011-10-14

2.  Initial constructs for patient-centered outcome measures to evaluate brain-computer interfaces.

Authors:  Elena M Andresen; Melanie Fried-Oken; Betts Peters; Donald L Patrick
Journal:  Disabil Rehabil Assist Technol       Date:  2015-03-25

3.  Performance assessment in brain-computer interface-based augmentative and alternative communication.

Authors:  David E Thompson; Stefanie Blain-Moraes; Jane E Huggins
Journal:  Biomed Eng Online       Date:  2013-05-16       Impact factor: 2.819

4.  Development and feasibility of an automated call monitoring intervention for older wheelchair users: the MOvIT project.

Authors:  Claudine Auger; William C Miller; Jeffrey W Jutai; Robyn Tamblyn
Journal:  BMC Health Serv Res       Date:  2015-09-16       Impact factor: 2.655

5.  Discriminatory validity of the Aspects of Wheelchair Mobility Test as demonstrated by a comparison of four wheelchair types designed for use in low-resource areas.

Authors:  Karen L Rispin; Elisa Hamm; Joy Wee
Journal:  Afr J Disabil       Date:  2017-09-08
  5 in total

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