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    Predictors of Treatment Response for Preschool Children With Developmental Language Disorder

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    Name:
    AJSLP_2020_Kapa_Meyers-Denman_ ...
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    Description:
    Final Accepted Manuscript
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    Author
    Kapa, Leah
    Meyers-Denman, Christina
    Plante, Elena
    Doubleday, Kevin
    Affiliation
    Univ Arizona, Dept Speech Language & Hearing Sci
    Univ Arizona, Dept Epidemiol & Biostat
    Issue Date
    2020
    Keywords
    developmental language disorder
    treatment response
    Enhanced Conversational Recast treatment
    
    Metadata
    Show full item record
    Publisher
    American Speech-Language-Hearing Association
    Citation
    Kapa, L. L., Meyers-Denman, C., Plante, E., & Doubleday, K. (2020). Predictors of Treatment Response for Preschool Children With Developmental Language Disorder. American Journal of Speech-Language Pathology, 29, 2082-2096.
    Journal
    American Journal of Speech-Language Pathology
    Rights
    Copyright © 2020 American Speech-Language-Hearing Association
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Purpose: Enhanced Conversational Recast treatment is an effective intervention for remediating expressive grammatical deficits in preschool age children with developmental language disorder (DLD), but not all children respond equally well. In this study, we sought to identify which child-level variables predict response to treatment of morphological deficits. Method: Predictor variables of interest, including pre-intervention test scores and target morpheme production, age, and mother’s level of education (proxy for socio-economic status) were included in analyses. The sample included 105 children (M = 5;1) with DLD who participated in five weeks of daily Enhanced Conversational Recast treatment. Classification and regression tree analysis was used to identify covariates that predicted children’s generalization of their trained grammatical morpheme, as measured by treatment effect size d. Results: Our analysis indicates that SPELT-P 2 scores and PPVT-4 scores significantly predicted the degree of benefit a child derived from Enhanced Conversational Recast treatment. Specifically, a SPELT-P 2 score above 75 (but still in the impaired range, < 87) combined with a high PPVT-4 score (> 100) yielded the largest treatment effect size, whereas a SPELT-P 2 score below 75 predicted the smallest treatment effect size. Other variables included in the model did not significantly predict treatment outcomes. Conclusion: Understanding individual differences in response to treatment will allow service providers to make evidence-based decisions regarding how likely a child is to benefit from Enhanced Conversational Recast treatment and the expected magnitude of the response based on the child’s background characteristics.
    ISSN
    1058-0360
    PubMed ID
    32997549
    DOI
    10.1044/2020_AJSLP-19-00198
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1044/2020_AJSLP-19-00198
    Scopus Count
    Collections
    UA Faculty Publications

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