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Enhancing Online Therapy Through Data-Driven Insights: Leveraging Psycholinguistic Research

Enhancing Online Therapy Through Data-Driven Insights: Leveraging Psycholinguistic Research

Introduction

In the ever-evolving field of speech-language pathology, leveraging data-driven insights to enhance therapeutic outcomes is crucial. The research article titled "Psycholinguistic features, design attributes, and respondent-reported cognition predict response time to patient-reported outcome measure items" provides valuable insights into how psycholinguistic features and design attributes of patient-reported outcome measures (PROMs) impact response times. Understanding these factors can help practitioners refine their approaches and improve outcomes for children receiving online therapy services.

Understanding the Research

The study analyzed data from 581 adults with neurological disorders, focusing on how psycholinguistic attributes and self-reported cognitive abilities influence response times to PROM items. Key findings indicated that slower response times were associated with respondents with lower cognitive abilities and with PROM items containing more syllables, less imageable words, and those asking about task difficulty rather than symptom frequency.

Implications for Practitioners

For practitioners, these findings underscore the importance of considering the cognitive load imposed by PROMs. Here are actionable insights derived from the research:

Encouraging Further Research

While this study provides valuable insights, it also highlights the need for further research with better experimental control. Practitioners are encouraged to engage in or support research efforts that explore the cognitive demands of PROMs and develop more accessible measures for individuals with cognitive and language challenges.

Conclusion

Incorporating data-driven insights from psycholinguistic research into online therapy practices can significantly enhance outcomes for children. By simplifying PROMs and considering cognitive demands, practitioners can ensure more accurate and meaningful assessments, ultimately leading to better therapeutic interventions.

To read the original research paper, please follow this link: Psycholinguistic features, design attributes, and respondent-reported cognition predict response time to patient-reported outcome measure items.


Citation: Cohen, M. L., Boulton, A. J., Lanzi, A. M., Sutherland, E., & Hunting Pompon, R. (2021). Psycholinguistic features, design attributes, and respondent-reported cognition predict response time to patient-reported outcome measure items. Quality of Life Research, 30(6), 1693-1704. https://doi.org/10.1007/s11136-021-02778-5
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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