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Unlock the Power of Tele-Neurorehabilitation: Key Insights from the Technology Acceptance Model

Unlock the Power of Tele-Neurorehabilitation: Key Insights from the Technology Acceptance Model

Tele-neurorehabilitation holds immense potential for enhancing patient outcomes by overcoming traditional barriers to accessibility. However, the adoption of this model has been slow, largely due to uncertainties about its feasibility and acceptability. A recent study titled "Using the Technology Acceptance Model to Identify Factors That Predict Likelihood to Adopt Tele-Neurorehabilitation" provides valuable insights into this issue. This blog explores how practitioners can implement these findings to improve their skills and encourage further research.

Understanding the Technology Acceptance Model (TAM)

The Technology Acceptance Model (TAM) has been widely used to predict an individual's likelihood to adopt and use new technology. The TAM3, an advanced version of the original model, incorporates elements like computer self-efficacy and computer anxiety. These factors significantly influence the adoption of tele-neurorehabilitation among both stroke survivors and clinicians.

Key Findings from the Study

The study identified several factors that impact the adoption of tele-neurorehabilitation:

Practical Steps for Practitioners

Based on these findings, practitioners can take several steps to improve their skills and encourage the adoption of tele-neurorehabilitation:

Encouraging Further Research

While the study provides valuable insights, there are still gaps that need to be addressed. Practitioners are encouraged to conduct further research on:

By implementing these findings and encouraging further research, practitioners can help shift tele-neurorehabilitation from a research concept to a mainstream healthcare solution.

To read the original research paper, please follow this link: Using the Technology Acceptance Model to Identify Factors That Predict Likelihood to Adopt Tele-Neurorehabilitation.


Citation: Klaic, M., & Galea, M. P. (2020). Using the Technology Acceptance Model to Identify Factors That Predict Likelihood to Adopt Tele-Neurorehabilitation. Frontiers in Neurology, 11, 580832. https://doi.org/10.3389/fneur.2020.580832
Marnee Brick, President, TinyEYE Therapy Services

Author's Note: Marnee Brick, TinyEYE President, and her team collaborate to create our blogs. They share their insights and expertise in the field of Speech-Language Pathology, Online Therapy Services and Academic Research.

Connect with Marnee on LinkedIn to stay updated on the latest in Speech-Language Pathology and Online Therapy Services.

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