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Related Concept Videos

Modeling in Therapy01:26

Modeling in Therapy

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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
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Utilizing Repetitive Transcranial Magnetic Stimulation to Improve Language Function in Stroke Patients with Chronic Non-fluent Aphasia
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Optimizing Telepractice Selection and Implementation for Persons with Aphasia.

Elizabeth O Tibus1, Maryanne Weatherill1, Amy D Rodriguez1,2

  • 1Center for Visual and Neurocognitive Rehabilitation, Joseph Maxwell Cleland Atlanta VA Medical Center, Decatur, Georgia, USA.

International Journal of Telerehabilitation
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Summary
This summary is machine-generated.

Researchers developed two tools, the Participant Technology Questionnaire (PTQ) and the Virtual-Appropriate Decision Approach (VADA), to improve telepractice candidate selection and overcome participation barriers in aphasia rehabilitation.

Keywords:
AphasiaAphasia-friendlyHealthcareTelepracticeTelerehabilitationTeleresearch

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Area of Science:

  • Healthcare technology
  • Rehabilitation research
  • Telemedicine

Background:

  • Telepractice is widely used in healthcare for rehabilitation and research.
  • Limited guidance exists on identifying suitable telepractice candidates and addressing participation barriers.

Purpose of the Study:

  • To develop tools for optimizing telepractice in aphasia rehabilitation research.
  • To enhance the selection of participants and the adaptation of virtual methods for telepractice.

Main Methods:

  • Development of the Participant Technology Questionnaire (PTQ): an aphasia-friendly tool to gather participant information.
  • Development of the Virtual-Appropriate Decision Approach (VADA): a framework to assess and modify virtual activity methods.
  • Utilizing PTQ findings to inform VADA application for virtual engagement planning.

Main Results:

  • The PTQ effectively gathers data on human, technological, and environmental factors influencing virtual participation.
  • The VADA provides a structured approach to apply PTQ insights, optimizing virtual activities.
  • Both tools facilitate planning and directing virtual engagement in telepractice.

Conclusions:

  • The PTQ and VADA are valuable resources for researchers and clinicians in telepractice.
  • These tools can improve the success of transitioning healthcare activities to virtual formats.
  • The developed tools have broad applicability across various telepractice domains.