Literature DB >> 24094787

Computer-assisted therapies: examination of therapist-level barriers to their use.

Emily M Becker1, Amanda Jensen-Doss.   

Abstract

Despite enthusiasm in the field for their potential ease of dissemination, little work has examined whether practicing clinicians are willing and able to use computer-assisted therapies (i.e., computerized treatments designed to be administered with therapist support). For therapists to use these tools, they require access to computer equipment, the skills needed to use the equipment, and willingness to adopt the technology in treatment. This study examined these three factors using survey data from a national sample of mental health clinicians (N=1,067). Respondents reported on their access to technology and computer fluency, in addition to completing the Computer-Assisted Therapy Attitudes Scale (CATAS), a measure of therapist attitudes designed for this study. Overall, the majority of therapists (90.7%) reported access to at least one computer at work and self-reported computer fluency levels were high. On average, therapists held positive attitudes towards computer-assisted therapies, although expressed concern that these technologies might damage rapport and did not feel that these technologies would improve treatment outcomes. Predictors of positive attitudes included greater general openness toward new treatments, greater comfort with computers, and easier access to technology at work (all ps<.01). Results suggested that, on the whole, therapists may be likely to integrate computer-assisted therapies into their clinical practice. However, therapists vary both in their ability and willingness to use these tools. Implications for the dissemination of computer-assisted therapies are discussed.
Copyright © 2013. Published by Elsevier Ltd.

Entities:  

Keywords:  computer-assisted therapy; dissemination; evidence-based practice

Mesh:

Year:  2013        PMID: 24094787     DOI: 10.1016/j.beth.2013.05.002

Source DB:  PubMed          Journal:  Behav Ther        ISSN: 0005-7894


  22 in total

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7.  Modeling the Impact of School-Based Universal Depression Screening on Additional Service Capacity Needs: A System Dynamics Approach.

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8.  Evidence-based psychological treatments for mental disorders: modifiable barriers to access and possible solutions.

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9.  Adoption of Technology-Enhanced Treatments: Conceptual and Practical Considerations.

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Journal:  Clin Psychol (New York)       Date:  2017-05-09

10.  Clinical Practice Models for the Use of E-Mental Health Resources in Primary Health Care by Health Professionals and Peer Workers: A Conceptual Framework.

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