The Experts below are selected from a list of 3309 Experts worldwide ranked by ideXlab platform
Frank Deruyter - One of the best experts on this subject based on the ideXlab platform.
-
development and evaluation of a new taxonomy of mobility related Assistive Technology Devices
2010Co-Authors: Laura L Shoemaker, Jeffrey W Jutai, Marcus J Fuhrer, Louise Demers, James A Lenker, Frank DeruyterAbstract:Objective: This article reports on the development of a new taxonomy for mobility-related Assistive Technology Devices. Design: A prototype taxonomy was created based on the extant literature. Five mobility Device experts were engaged in a modified Delphi process to evaluate and refine the taxonomy. Results: Multiple iterations of expert feedback and revision yielded consensual agreement on the structure and terminology of a new mobility Device taxonomy. The taxonomy uses a hierarchical framework to classify ambulation aids and wheeled mobility Devices, including their key features that impact mobility. Five attributes of the new taxonomy differentiate it from previous mobility-related Device classifications: (1) hierarchical structure, (2) primary Device categories are grouped based on their intended mobility impact, (3) comprehensive inclusion of technical features, (4) a capacity to assimilate reimbursement codes, and (5) availability of a detailed glossary. Conclusions: The taxonomy is intended to support Assistive Technology outcomes research. The taxonomy will enable researchers to capture mobility-related Assistive Technology Device interventions with precision and provide a common terminology that will allow comparisons among studies. The prominence of technical features within the new taxonomy will hopefully promote research that helps clinicians predict how Devices will perform, thus aiding clinical decision making and supporting funding recommendations.
-
mobility related Assistive Technology Device classifications implications for outcomes research
2009Co-Authors: Laura L Shoemaker, Jeffrey W Jutai, Marcus J Fuhrer, Louise Demers, James A Lenker, Frank DeruyterAbstract:This article evaluates six mobility-related Device classifications for their ability to support Assistive Technology outcomes research. Our evaluation considered classifications that had been created for various purposes, including those created to support third-party reimbursement decisions, consumer education and safety, and research. Classifications were excluded if their scope was limited to a single mobility Device domain. The six classifications were analyzed according to a common framework: (1) purpose, (2) completeness, (3) granularity, and (4) research applications. Although each classification addresses three principal mobility Device domains (ambulation aids, manual wheelchairs, and powered mobility Devices), the analysis revealed a range of detail with which each domain is described. Some classifications were hampered by their use of unclear idiosyncratic terminology, whereas others conflated multiple Device features within Device categories. The analysis suggests that existing classifications do not fully meet the needs of Assistive Technology outcomes researchers. Creation of a common taxonomy of mobility Devices is needed to serve the needs of the Assistive Technology outcomes research field.
-
a framework for modelling the selection of Assistive Technology Devices atds
2007Co-Authors: Marcia J Scherer, Jeffrey W Jutai, Marcus J Fuhrer, Louise Demers, Frank DeruyterAbstract:Purpose. The previously published ‘Framework for the conceptual modelling of Assistive Technology Device (ATD) outcomes’ assumes antecedent factors that inform it and influence its component variables. This paper proposes a model of factors influencing consumer predispositions and provider practices related to procuring a particular ATD, which is the starting point in the framework.Method. The relevant literature on a variety of factors that influence specific ATD selection is summarized.Results. The decision that a particular ATD is an appropriate and desirable support for an individual is the result of a process which is affected by a broader societal climate that determines, in part, unique personal climates which then foster unique provider and consumer perspectives predisposing each to the selection of a particular ATD.Conclusions. The proposed ‘Framework for modelling the selection of ATDs’ can contribute to clinical practice and outcomes research by highlighting factors important to consider prior ...
-
toward a taxonomy of Assistive Technology Device outcomes
2005Co-Authors: Jeffrey W Jutai, Marcia J Scherer, Marcus J Fuhrer, Louise Demers, Frank DeruyterAbstract:Jutai JW, Fuhrer MJ, Demers L, Scherer MJ, DeRuyter F: Toward a taxonomy of Assistive Technology Device outcomes. Am J Phys Med Rehabil 2005;84:294‐302. 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.
-
toward a taxonomy of Assistive Technology Device outcomes
2005Co-Authors: Jeffrey W Jutai, Marcia J Scherer, Marcus J Fuhrer, Louise Demers, Frank DeruyterAbstract: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.
Marcia J Scherer - One of the best experts on this subject based on the ideXlab platform.
-
cross cultural adaptation of the Assistive Technology Device predisposition assessment atd pa for use in brazil atd pa br
2017Co-Authors: Ana Cristina De Jesus Alves, Thelma Simoes Matsukura, Marcia J SchererAbstract:Purpose: The purpose of this study is to conduct a cross-cultural adaptation of the Assistive Technology Device Predisposition Assessment (ATD PA) for use in Brazil.Method: The selection of the Ass...
-
the relationship of personal factors and subjective well being to the use of Assistive Technology Devices
2011Co-Authors: Marcia J Scherer, Ger Craddock, Trish MackeoghAbstract:Purpose. To describe a measure and its performance specific to the relationship of personal factors and subjective well-being (SWB) to the use of Assistive Technology Devices (ATDs). The primary hypothesis is that responses to a 33-item personal factors scale and a 12-item SWB scale are good indicators of an individual's predisposition for using, and subsequent match with, a given ATD.Methods. Data analyses from a number of studies using the 33-item personal factors and the 12-item SWB scales of the Assistive Technology Device Predisposition Assessment with persons of various ages and types of disabilities.Results. Regardless of type of disability or age of respondent, the ATD PA personal factors and the SWB scales identified important differences in predispositions to use an ATD as well as the subsequent quality of the match of person and Device.Conclusions. A quantifiable relationship exists between the ATD PA's measure of personal factors and the SWB such that it is possible to characterise an individu...
-
a framework for modelling the selection of Assistive Technology Devices atds
2007Co-Authors: Marcia J Scherer, Jeffrey W Jutai, Marcus J Fuhrer, Louise Demers, Frank DeruyterAbstract:Purpose. The previously published ‘Framework for the conceptual modelling of Assistive Technology Device (ATD) outcomes’ assumes antecedent factors that inform it and influence its component variables. This paper proposes a model of factors influencing consumer predispositions and provider practices related to procuring a particular ATD, which is the starting point in the framework.Method. The relevant literature on a variety of factors that influence specific ATD selection is summarized.Results. The decision that a particular ATD is an appropriate and desirable support for an individual is the result of a process which is affected by a broader societal climate that determines, in part, unique personal climates which then foster unique provider and consumer perspectives predisposing each to the selection of a particular ATD.Conclusions. The proposed ‘Framework for modelling the selection of ATDs’ can contribute to clinical practice and outcomes research by highlighting factors important to consider prior ...
-
predictors of Assistive Technology use the importance of personal and psychosocial factors
2005Co-Authors: Marcia J Scherer, Alan Vanbiervliet, Laura A Cushman, John V SchererAbstract:Objective. To validate an Assistive Technology (AT) baseline and outcomes measure and to quantify the measure's value in determining the best match of consumer and AT considering consumer ratings of their subjective quality of life, mood, support from others, motivation for AT use, program/therapist reliance, and self-determination/self-esteem.Design. Prospective multi-cohort study.Setting. Vocational rehabilitation offices and community.Participants. Over 150 vocational rehabilitation counselors in 25 U.S. states with one consumer each receiving new AT.Interventions. Counselor training in the Matching Person and Technology (MPT) Model and consumer completion of the MPT measure, Assistive Technology Device Predisposition Assessment (ATD PA).Main outcome measures. Total and subscale scores on the ATD PA as well as counselor-completed questionnaires.Results. ATD PA items differentiated consumer predispositions to AT use as well as AT and user match. There were no significant differences due to gender, physi...
-
toward a taxonomy of Assistive Technology Device outcomes
2005Co-Authors: Jeffrey W Jutai, Marcia J Scherer, Marcus J Fuhrer, Louise Demers, Frank DeruyterAbstract:Jutai JW, Fuhrer MJ, Demers L, Scherer MJ, DeRuyter F: Toward a taxonomy of Assistive Technology Device outcomes. Am J Phys Med Rehabil 2005;84:294‐302. 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.
Jeffrey W Jutai - One of the best experts on this subject based on the ideXlab platform.
-
toward guidelines for reporting Assistive Technology Device outcomes
2019Co-Authors: Joshua R Tuazon, Jeffrey W JutaiAbstract:Purpose: The aim of this study was to develop and pilot-test reporting guidelines for manuscripts describing studies of Assistive Technology Device outcomes, with the hopes of improving the overall...
-
low vision Assistive Technology Device usage and importance in daily occupations
2011Co-Authors: Daniel Fok, Janice M Polgar, Lynn Shaw, Jeffrey W JutaiAbstract:When selected, accepted and used appropriately, low vision Assistive Technology Devices (ATDs) have the potential to facilitate the performance of occupations that lead to posi tive outcomes. Objective: This paper identifies some low vision ATDs currently used and explores their relative importance for the performance of daily occupation from participants' perspectives. Participants: 17 adults (M = 56 years old, SD = 15.8) with low vision we0re recruited through a purposeful sampling strategy. Methods: Through one-on-one semi-structured telephone interviews, ATD usage data, ranking of perceived importance of ATDs and verbal data were collected from the participants. Results: A total of 124 Devices were identified by the participants of w hich 104 (83.9%) were used and 20 (16.1%), mostly adaptive computer technologies, were not. 22 (21%) mainstream aids to daily living were identified (large monitor, larg e screen TV, DVD player) and they ranked high in terms of perceived importance by the participants for daily activities. Verbal fe edback from participants supplemented this finding. Conclusion: Concepts related to usage and ranking of importance of ATDs for daily occupations are multi-faceted and complex (e.g. combination of Devices used, multiple equal rankings, etc.). The authors suggested future research opportuniti es to examine these concepts through qualitative means.
-
development and evaluation of a new taxonomy of mobility related Assistive Technology Devices
2010Co-Authors: Laura L Shoemaker, Jeffrey W Jutai, Marcus J Fuhrer, Louise Demers, James A Lenker, Frank DeruyterAbstract:Objective: This article reports on the development of a new taxonomy for mobility-related Assistive Technology Devices. Design: A prototype taxonomy was created based on the extant literature. Five mobility Device experts were engaged in a modified Delphi process to evaluate and refine the taxonomy. Results: Multiple iterations of expert feedback and revision yielded consensual agreement on the structure and terminology of a new mobility Device taxonomy. The taxonomy uses a hierarchical framework to classify ambulation aids and wheeled mobility Devices, including their key features that impact mobility. Five attributes of the new taxonomy differentiate it from previous mobility-related Device classifications: (1) hierarchical structure, (2) primary Device categories are grouped based on their intended mobility impact, (3) comprehensive inclusion of technical features, (4) a capacity to assimilate reimbursement codes, and (5) availability of a detailed glossary. Conclusions: The taxonomy is intended to support Assistive Technology outcomes research. The taxonomy will enable researchers to capture mobility-related Assistive Technology Device interventions with precision and provide a common terminology that will allow comparisons among studies. The prominence of technical features within the new taxonomy will hopefully promote research that helps clinicians predict how Devices will perform, thus aiding clinical decision making and supporting funding recommendations.
-
mobility related Assistive Technology Device classifications implications for outcomes research
2009Co-Authors: Laura L Shoemaker, Jeffrey W Jutai, Marcus J Fuhrer, Louise Demers, James A Lenker, Frank DeruyterAbstract:This article evaluates six mobility-related Device classifications for their ability to support Assistive Technology outcomes research. Our evaluation considered classifications that had been created for various purposes, including those created to support third-party reimbursement decisions, consumer education and safety, and research. Classifications were excluded if their scope was limited to a single mobility Device domain. The six classifications were analyzed according to a common framework: (1) purpose, (2) completeness, (3) granularity, and (4) research applications. Although each classification addresses three principal mobility Device domains (ambulation aids, manual wheelchairs, and powered mobility Devices), the analysis revealed a range of detail with which each domain is described. Some classifications were hampered by their use of unclear idiosyncratic terminology, whereas others conflated multiple Device features within Device categories. The analysis suggests that existing classifications do not fully meet the needs of Assistive Technology outcomes researchers. Creation of a common taxonomy of mobility Devices is needed to serve the needs of the Assistive Technology outcomes research field.
-
a framework for modelling the selection of Assistive Technology Devices atds
2007Co-Authors: Marcia J Scherer, Jeffrey W Jutai, Marcus J Fuhrer, Louise Demers, Frank DeruyterAbstract:Purpose. The previously published ‘Framework for the conceptual modelling of Assistive Technology Device (ATD) outcomes’ assumes antecedent factors that inform it and influence its component variables. This paper proposes a model of factors influencing consumer predispositions and provider practices related to procuring a particular ATD, which is the starting point in the framework.Method. The relevant literature on a variety of factors that influence specific ATD selection is summarized.Results. The decision that a particular ATD is an appropriate and desirable support for an individual is the result of a process which is affected by a broader societal climate that determines, in part, unique personal climates which then foster unique provider and consumer perspectives predisposing each to the selection of a particular ATD.Conclusions. The proposed ‘Framework for modelling the selection of ATDs’ can contribute to clinical practice and outcomes research by highlighting factors important to consider prior ...
Marcus J Fuhrer - One of the best experts on this subject based on the ideXlab platform.
-
development and evaluation of a new taxonomy of mobility related Assistive Technology Devices
2010Co-Authors: Laura L Shoemaker, Jeffrey W Jutai, Marcus J Fuhrer, Louise Demers, James A Lenker, Frank DeruyterAbstract:Objective: This article reports on the development of a new taxonomy for mobility-related Assistive Technology Devices. Design: A prototype taxonomy was created based on the extant literature. Five mobility Device experts were engaged in a modified Delphi process to evaluate and refine the taxonomy. Results: Multiple iterations of expert feedback and revision yielded consensual agreement on the structure and terminology of a new mobility Device taxonomy. The taxonomy uses a hierarchical framework to classify ambulation aids and wheeled mobility Devices, including their key features that impact mobility. Five attributes of the new taxonomy differentiate it from previous mobility-related Device classifications: (1) hierarchical structure, (2) primary Device categories are grouped based on their intended mobility impact, (3) comprehensive inclusion of technical features, (4) a capacity to assimilate reimbursement codes, and (5) availability of a detailed glossary. Conclusions: The taxonomy is intended to support Assistive Technology outcomes research. The taxonomy will enable researchers to capture mobility-related Assistive Technology Device interventions with precision and provide a common terminology that will allow comparisons among studies. The prominence of technical features within the new taxonomy will hopefully promote research that helps clinicians predict how Devices will perform, thus aiding clinical decision making and supporting funding recommendations.
-
mobility related Assistive Technology Device classifications implications for outcomes research
2009Co-Authors: Laura L Shoemaker, Jeffrey W Jutai, Marcus J Fuhrer, Louise Demers, James A Lenker, Frank DeruyterAbstract:This article evaluates six mobility-related Device classifications for their ability to support Assistive Technology outcomes research. Our evaluation considered classifications that had been created for various purposes, including those created to support third-party reimbursement decisions, consumer education and safety, and research. Classifications were excluded if their scope was limited to a single mobility Device domain. The six classifications were analyzed according to a common framework: (1) purpose, (2) completeness, (3) granularity, and (4) research applications. Although each classification addresses three principal mobility Device domains (ambulation aids, manual wheelchairs, and powered mobility Devices), the analysis revealed a range of detail with which each domain is described. Some classifications were hampered by their use of unclear idiosyncratic terminology, whereas others conflated multiple Device features within Device categories. The analysis suggests that existing classifications do not fully meet the needs of Assistive Technology outcomes researchers. Creation of a common taxonomy of mobility Devices is needed to serve the needs of the Assistive Technology outcomes research field.
-
a framework for modelling the selection of Assistive Technology Devices atds
2007Co-Authors: Marcia J Scherer, Jeffrey W Jutai, Marcus J Fuhrer, Louise Demers, Frank DeruyterAbstract:Purpose. The previously published ‘Framework for the conceptual modelling of Assistive Technology Device (ATD) outcomes’ assumes antecedent factors that inform it and influence its component variables. This paper proposes a model of factors influencing consumer predispositions and provider practices related to procuring a particular ATD, which is the starting point in the framework.Method. The relevant literature on a variety of factors that influence specific ATD selection is summarized.Results. The decision that a particular ATD is an appropriate and desirable support for an individual is the result of a process which is affected by a broader societal climate that determines, in part, unique personal climates which then foster unique provider and consumer perspectives predisposing each to the selection of a particular ATD.Conclusions. The proposed ‘Framework for modelling the selection of ATDs’ can contribute to clinical practice and outcomes research by highlighting factors important to consider prior ...
-
toward a taxonomy of Assistive Technology Device outcomes
2005Co-Authors: Jeffrey W Jutai, Marcia J Scherer, Marcus J Fuhrer, Louise Demers, Frank DeruyterAbstract:Jutai JW, Fuhrer MJ, Demers L, Scherer MJ, DeRuyter F: Toward a taxonomy of Assistive Technology Device outcomes. Am J Phys Med Rehabil 2005;84:294‐302. 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.
-
toward a taxonomy of Assistive Technology Device outcomes
2005Co-Authors: Jeffrey W Jutai, Marcia J Scherer, Marcus J Fuhrer, Louise Demers, Frank DeruyterAbstract: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.
Louise Demers - One of the best experts on this subject based on the ideXlab platform.
-
development and evaluation of a new taxonomy of mobility related Assistive Technology Devices
2010Co-Authors: Laura L Shoemaker, Jeffrey W Jutai, Marcus J Fuhrer, Louise Demers, James A Lenker, Frank DeruyterAbstract:Objective: This article reports on the development of a new taxonomy for mobility-related Assistive Technology Devices. Design: A prototype taxonomy was created based on the extant literature. Five mobility Device experts were engaged in a modified Delphi process to evaluate and refine the taxonomy. Results: Multiple iterations of expert feedback and revision yielded consensual agreement on the structure and terminology of a new mobility Device taxonomy. The taxonomy uses a hierarchical framework to classify ambulation aids and wheeled mobility Devices, including their key features that impact mobility. Five attributes of the new taxonomy differentiate it from previous mobility-related Device classifications: (1) hierarchical structure, (2) primary Device categories are grouped based on their intended mobility impact, (3) comprehensive inclusion of technical features, (4) a capacity to assimilate reimbursement codes, and (5) availability of a detailed glossary. Conclusions: The taxonomy is intended to support Assistive Technology outcomes research. The taxonomy will enable researchers to capture mobility-related Assistive Technology Device interventions with precision and provide a common terminology that will allow comparisons among studies. The prominence of technical features within the new taxonomy will hopefully promote research that helps clinicians predict how Devices will perform, thus aiding clinical decision making and supporting funding recommendations.
-
mobility related Assistive Technology Device classifications implications for outcomes research
2009Co-Authors: Laura L Shoemaker, Jeffrey W Jutai, Marcus J Fuhrer, Louise Demers, James A Lenker, Frank DeruyterAbstract:This article evaluates six mobility-related Device classifications for their ability to support Assistive Technology outcomes research. Our evaluation considered classifications that had been created for various purposes, including those created to support third-party reimbursement decisions, consumer education and safety, and research. Classifications were excluded if their scope was limited to a single mobility Device domain. The six classifications were analyzed according to a common framework: (1) purpose, (2) completeness, (3) granularity, and (4) research applications. Although each classification addresses three principal mobility Device domains (ambulation aids, manual wheelchairs, and powered mobility Devices), the analysis revealed a range of detail with which each domain is described. Some classifications were hampered by their use of unclear idiosyncratic terminology, whereas others conflated multiple Device features within Device categories. The analysis suggests that existing classifications do not fully meet the needs of Assistive Technology outcomes researchers. Creation of a common taxonomy of mobility Devices is needed to serve the needs of the Assistive Technology outcomes research field.
-
a framework for modelling the selection of Assistive Technology Devices atds
2007Co-Authors: Marcia J Scherer, Jeffrey W Jutai, Marcus J Fuhrer, Louise Demers, Frank DeruyterAbstract:Purpose. The previously published ‘Framework for the conceptual modelling of Assistive Technology Device (ATD) outcomes’ assumes antecedent factors that inform it and influence its component variables. This paper proposes a model of factors influencing consumer predispositions and provider practices related to procuring a particular ATD, which is the starting point in the framework.Method. The relevant literature on a variety of factors that influence specific ATD selection is summarized.Results. The decision that a particular ATD is an appropriate and desirable support for an individual is the result of a process which is affected by a broader societal climate that determines, in part, unique personal climates which then foster unique provider and consumer perspectives predisposing each to the selection of a particular ATD.Conclusions. The proposed ‘Framework for modelling the selection of ATDs’ can contribute to clinical practice and outcomes research by highlighting factors important to consider prior ...
-
toward a taxonomy of Assistive Technology Device outcomes
2005Co-Authors: Jeffrey W Jutai, Marcia J Scherer, Marcus J Fuhrer, Louise Demers, Frank DeruyterAbstract:Jutai JW, Fuhrer MJ, Demers L, Scherer MJ, DeRuyter F: Toward a taxonomy of Assistive Technology Device outcomes. Am J Phys Med Rehabil 2005;84:294‐302. 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.
-
toward a taxonomy of Assistive Technology Device outcomes
2005Co-Authors: Jeffrey W Jutai, Marcia J Scherer, Marcus J Fuhrer, Louise Demers, Frank DeruyterAbstract: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.
