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Language Sample Analysis in Clinical Practice: Speech-Language Pathologists' Barriers, Facilitators, and Needs
Inge S Klatte1,2, Vera van Heugten1, Rob Zwitserlood1,2
1HU University of Applied Sciences Utrecht, the Netherlands.
Speech-language pathologists (SLPs) find language sample analysis (LSA) valuable but face significant barriers, primarily time constraints. A training intervention did not increase LSA frequency, highlighting the need for user-friendly tools and shorter sample durations.
Area of Science:
- Speech-language pathology
- Developmental language disorder research
- Clinical practice analysis
Background:
- Language sample analysis (LSA) is recognized as valuable by speech-language pathologists (SLPs) for children with developmental language disorder (DLD).
- However, regular LSA performance is infrequent among practicing SLPs.
- Barriers and facilitators to LSA implementation need identification to improve clinical practice.
Purpose of the Study:
- To identify facilitators, barriers, and needs for performing LSA in Dutch SLPs working with children with DLD.
- To assess the impact of a training program on the actual performance of LSA.
Main Methods:
- A focus group of 11 SLPs was conducted to identify barriers, facilitators, and needs.
- Thematic analysis and the theoretical domain framework were used for categorization.
- A training intervention using CLAN software was implemented, followed by pre-, post-, and 3-month follow-up surveys.
Main Results:
- Key barriers included lack of knowledge/skills, time investment, low self-efficacy, role beliefs, and lack of reimbursement.
- Post-training surveys showed no increase in LSA frequency in daily practice.
- CLAN software did not overcome the time barrier, which remained significant.
Conclusions:
- Training alone did not resolve the time barrier for SLPs performing LSA.
- User-friendly software, co-designed with SLPs, may offer a solution.
- Shorter language samples, particularly from narrative tasks, should be considered for short-term improvements.
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