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Published on: December 6, 2024
Supporting Language Sample Analysis in Practice Using the Active Implementation Frameworks
John Heilmann1, Karen Andriacchi2, Alyssa Wojtyna1
1School of Rehabilitation Sciences & Technology, University of Wisconsin-Milwaukee.
Purpose:
Formalized language sample analysis (LSA), which uses standardized protocols and validated, software-supported transcription and analysis methods, is an evidence-based approach to assessing spoken language disorders. However, most school-based speech-language pathologists (SLPs) have reported that system-level barriers substantially limit their ability to use formalized LSA. This study applied the Active Implementation Frameworks to evaluate how guided implementation supports may promote the uptake of formalized LSA among school-based SLPs and to examine their effects on key implementation outcomes.
Method:
SLPs were assigned to a guided implementation group (training, services, and expert-facilitated discussion) or a self-directed group (free resources only). Using a convergent mixed-methods design, we assessed fidelity, acceptability, adoption, and appropriateness.
Results:
SLPs in the guided group demonstrated high fidelity and rated implementation supports as acceptable. Adoption of formalized LSA increased from 0% to 100% in the guided group, compared to a modest increase in the self-directed group. Appropriateness showed mixed patterns across groups: Compatibility differed significantly, whereas self-efficacy did not. Qualitative findings helped explain these distinctions by illustrating how guided supports influenced clinicians' perceptions of LSA's fit and feasibility.
Conclusions:
Guided support enhances LSA adoption and fidelity. Sustained use requires attention to both competency and organization drivers. Implementation science frameworks help identify barriers and guide strategies for translating evidence-based practices into routine use.
Supplemental Material:
https://doi.org/10.23641/asha.32764518.
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