Literature DB >> 14760977

A review of conceptual models for assistive technology outcomes research and practice.

James A Lenker1, Victor L Paquet.   

Abstract

Conceptual models provide a theoretical basis for advancing scientific knowledge and improving professional practice. Although numerous assistive technology-related models have appeared in the literature, there has been no systematic effort to assess them. Six conceptual models are reviewed here: Cook and Hussey's Human-Activity-Assistive Technology model; the World Health Organization's International Classification of Functioning, Disability, and Health; Scherer's Matching Person and Technology model; Gitlin's model of an AT user's "career"; social cognition decision-making theories; and Rogers' Perceived Attributes Theory. The models are reviewed in terms of six domains: background and goals; descriptive characteristics; indication of outcome measures; predictive characteristics; validation in the literature; and utility to assistive technology practitioners, developers, and consumers. The salient strengths and limitations are highlighted for each. Application of the models to advance theory, research, and practice is discussed.

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Mesh:

Year:  2003        PMID: 14760977     DOI: 10.1080/10400435.2003.10131885

Source DB:  PubMed          Journal:  Assist Technol        ISSN: 1040-0435


  5 in total

1.  The wheelchair procurement process: perspectives of clients and prescribers.

Authors:  W Ben Mortenson; William C Miller
Journal:  Can J Occup Ther       Date:  2008-06       Impact factor: 1.614

Review 2.  How a diverse research ecosystem has generated new rehabilitation technologies: Review of NIDILRR's Rehabilitation Engineering Research Centers.

Authors:  David J Reinkensmeyer; Sarah Blackstone; Cathy Bodine; John Brabyn; David Brienza; Kevin Caves; Frank DeRuyter; Edmund Durfee; Stefania Fatone; Geoff Fernie; Steven Gard; Patricia Karg; Todd A Kuiken; Gerald F Harris; Mike Jones; Yue Li; Jordana Maisel; Michael McCue; Michelle A Meade; Helena Mitchell; Tracy L Mitzner; James L Patton; Philip S Requejo; James H Rimmer; Wendy A Rogers; W Zev Rymer; Jon A Sanford; Lawrence Schneider; Levin Sliker; Stephen Sprigle; Aaron Steinfeld; Edward Steinfeld; Gregg Vanderheiden; Carolee Winstein; Li-Qun Zhang; Thomas Corfman
Journal:  J Neuroeng Rehabil       Date:  2017-11-06       Impact factor: 4.262

3.  A smart kitchen for ambient assisted living.

Authors:  Rubén Blasco; Álvaro Marco; Roberto Casas; Diego Cirujano; Richard Picking
Journal:  Sensors (Basel)       Date:  2014-01-17       Impact factor: 3.576

4.  Psychometric Properties of the Spanish Version of Psychosocial Impact of Assistive Devices Scale in a Large Sample of People With Neuromuscular, Neurological, or Hearing Disabilities.

Authors:  Emiliano Díez; Estíbaliz Jiménez-Arberas; Thais Pousada
Journal:  Front Psychol       Date:  2021-06-10

5.  The impact of the World Health Organization 8-steps in wheelchair service provision in wheelchair users in a less resourced setting: a cohort study in Indonesia.

Authors:  Maria L Toro; Chika Eke; Jonathan Pearlman
Journal:  BMC Health Serv Res       Date:  2016-01-22       Impact factor: 2.655

  5 in total

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