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Practice-Related Predictors of Semantic Feature Verification Treatment for Aphasia
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| Zeitschriftentitel: | American Journal of Speech-Language Pathology |
|---|---|
| Personen und Körperschaften: | , , , , , |
| In: | American Journal of Speech-Language Pathology, 31, 2022, 5S, S. 2366-2377 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
American Speech Language Hearing Association
|
| Schlagwörter: |
| author_facet |
Cavanaugh, Robert Quique, Yina M. Dickey, Michael Walsh Hula, William D. Boss, Emily Evans, William S. Cavanaugh, Robert Quique, Yina M. Dickey, Michael Walsh Hula, William D. Boss, Emily Evans, William S. |
|---|---|
| author |
Cavanaugh, Robert Quique, Yina M. Dickey, Michael Walsh Hula, William D. Boss, Emily Evans, William S. |
| spellingShingle |
Cavanaugh, Robert Quique, Yina M. Dickey, Michael Walsh Hula, William D. Boss, Emily Evans, William S. American Journal of Speech-Language Pathology Practice-Related Predictors of Semantic Feature Verification Treatment for Aphasia Speech and Hearing Linguistics and Language Developmental and Educational Psychology Otorhinolaryngology |
| author_sort |
cavanaugh, robert |
| spelling |
Cavanaugh, Robert Quique, Yina M. Dickey, Michael Walsh Hula, William D. Boss, Emily Evans, William S. 1058-0360 1558-9110 American Speech Language Hearing Association Speech and Hearing Linguistics and Language Developmental and Educational Psychology Otorhinolaryngology http://dx.doi.org/10.1044/2021_ajslp-21-00296 <jats:sec> <jats:title>Purpose:</jats:title> <jats:p>Specifying the active ingredients in aphasia interventions can inform treatment theory and improve clinical implementation. This secondary analysis examined three practice-related predictors of treatment response in semantic feature verification (SFV) treatment. We hypothesized that (a) successful feature verification practice would be associated with naming outcomes if SFV operates similarly to standard feature generation semantic feature analysis and (b) successful retrieval practice would be associated with naming outcomes for treated, but not semantically related, untreated words if SFV operates via a retrieval practice–oriented lexical activation mechanism.</jats:p> </jats:sec> <jats:sec> <jats:title>Method:</jats:title> <jats:p>Item-level data from nine participants with poststroke aphasia who received SFV treatment reported in the work of Evans, Cavanaugh, Quique, et al. (2021) were analyzed using Bayesian generalized linear mixed-effects models. Models evaluated whether performance on three treatment components (facilitated retrieval, feature verification, and effortful retrieval) moderated treatment response for treated and semantically related, untreated words.</jats:p> </jats:sec> <jats:sec> <jats:title>Results:</jats:title> <jats:p>There was no evidence for or against a relationship between successful feature verification practice and treatment response. In contrast, there was a robust relationship between the two retrieval practice components and treatment response for treated words only.</jats:p> </jats:sec> <jats:sec> <jats:title>Discussion:</jats:title> <jats:p>Findings were consistent with the second hypothesis: Retrieval practice, but not feature verification practice, appears to be a practice-related predictor of treatment response in SFV. However, treatment components are likely interdependent, and feature verification may still be an active ingredient in SFV. Further research is needed to evaluate the causal role of treatment components on treatment outcomes in aphasia.</jats:p> </jats:sec> Practice-Related Predictors of Semantic Feature Verification Treatment for Aphasia American Journal of Speech-Language Pathology |
| doi_str_mv |
10.1044/2021_ajslp-21-00296 |
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Online |
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| title |
Practice-Related Predictors of Semantic Feature Verification Treatment for Aphasia |
| title_unstemmed |
Practice-Related Predictors of Semantic Feature Verification Treatment for Aphasia |
| title_full |
Practice-Related Predictors of Semantic Feature Verification Treatment for Aphasia |
| title_fullStr |
Practice-Related Predictors of Semantic Feature Verification Treatment for Aphasia |
| title_full_unstemmed |
Practice-Related Predictors of Semantic Feature Verification Treatment for Aphasia |
| title_short |
Practice-Related Predictors of Semantic Feature Verification Treatment for Aphasia |
| title_sort |
practice-related predictors of semantic feature verification treatment for aphasia |
| topic |
Speech and Hearing Linguistics and Language Developmental and Educational Psychology Otorhinolaryngology |
| url |
http://dx.doi.org/10.1044/2021_ajslp-21-00296 |
| publishDate |
2022 |
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2366-2377 |
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<jats:sec>
<jats:title>Purpose:</jats:title>
<jats:p>Specifying the active ingredients in aphasia interventions can inform treatment theory and improve clinical implementation. This secondary analysis examined three practice-related predictors of treatment response in semantic feature verification (SFV) treatment. We hypothesized that (a) successful feature verification practice would be associated with naming outcomes if SFV operates similarly to standard feature generation semantic feature analysis and (b) successful retrieval practice would be associated with naming outcomes for treated, but not semantically related, untreated words if SFV operates via a retrieval practice–oriented lexical activation mechanism.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Method:</jats:title>
<jats:p>Item-level data from nine participants with poststroke aphasia who received SFV treatment reported in the work of Evans, Cavanaugh, Quique, et al. (2021) were analyzed using Bayesian generalized linear mixed-effects models. Models evaluated whether performance on three treatment components (facilitated retrieval, feature verification, and effortful retrieval) moderated treatment response for treated and semantically related, untreated words.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Results:</jats:title>
<jats:p>There was no evidence for or against a relationship between successful feature verification practice and treatment response. In contrast, there was a robust relationship between the two retrieval practice components and treatment response for treated words only.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Discussion:</jats:title>
<jats:p>Findings were consistent with the second hypothesis: Retrieval practice, but not feature verification practice, appears to be a practice-related predictor of treatment response in SFV. However, treatment components are likely interdependent, and feature verification may still be an active ingredient in SFV. Further research is needed to evaluate the causal role of treatment components on treatment outcomes in aphasia.</jats:p>
</jats:sec> |
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| author | Cavanaugh, Robert, Quique, Yina M., Dickey, Michael Walsh, Hula, William D., Boss, Emily, Evans, William S. |
| author_facet | Cavanaugh, Robert, Quique, Yina M., Dickey, Michael Walsh, Hula, William D., Boss, Emily, Evans, William S., Cavanaugh, Robert, Quique, Yina M., Dickey, Michael Walsh, Hula, William D., Boss, Emily, Evans, William S. |
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| description | <jats:sec> <jats:title>Purpose:</jats:title> <jats:p>Specifying the active ingredients in aphasia interventions can inform treatment theory and improve clinical implementation. This secondary analysis examined three practice-related predictors of treatment response in semantic feature verification (SFV) treatment. We hypothesized that (a) successful feature verification practice would be associated with naming outcomes if SFV operates similarly to standard feature generation semantic feature analysis and (b) successful retrieval practice would be associated with naming outcomes for treated, but not semantically related, untreated words if SFV operates via a retrieval practice–oriented lexical activation mechanism.</jats:p> </jats:sec> <jats:sec> <jats:title>Method:</jats:title> <jats:p>Item-level data from nine participants with poststroke aphasia who received SFV treatment reported in the work of Evans, Cavanaugh, Quique, et al. (2021) were analyzed using Bayesian generalized linear mixed-effects models. Models evaluated whether performance on three treatment components (facilitated retrieval, feature verification, and effortful retrieval) moderated treatment response for treated and semantically related, untreated words.</jats:p> </jats:sec> <jats:sec> <jats:title>Results:</jats:title> <jats:p>There was no evidence for or against a relationship between successful feature verification practice and treatment response. In contrast, there was a robust relationship between the two retrieval practice components and treatment response for treated words only.</jats:p> </jats:sec> <jats:sec> <jats:title>Discussion:</jats:title> <jats:p>Findings were consistent with the second hypothesis: Retrieval practice, but not feature verification practice, appears to be a practice-related predictor of treatment response in SFV. However, treatment components are likely interdependent, and feature verification may still be an active ingredient in SFV. Further research is needed to evaluate the causal role of treatment components on treatment outcomes in aphasia.</jats:p> </jats:sec> |
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| spelling | Cavanaugh, Robert Quique, Yina M. Dickey, Michael Walsh Hula, William D. Boss, Emily Evans, William S. 1058-0360 1558-9110 American Speech Language Hearing Association Speech and Hearing Linguistics and Language Developmental and Educational Psychology Otorhinolaryngology http://dx.doi.org/10.1044/2021_ajslp-21-00296 <jats:sec> <jats:title>Purpose:</jats:title> <jats:p>Specifying the active ingredients in aphasia interventions can inform treatment theory and improve clinical implementation. This secondary analysis examined three practice-related predictors of treatment response in semantic feature verification (SFV) treatment. We hypothesized that (a) successful feature verification practice would be associated with naming outcomes if SFV operates similarly to standard feature generation semantic feature analysis and (b) successful retrieval practice would be associated with naming outcomes for treated, but not semantically related, untreated words if SFV operates via a retrieval practice–oriented lexical activation mechanism.</jats:p> </jats:sec> <jats:sec> <jats:title>Method:</jats:title> <jats:p>Item-level data from nine participants with poststroke aphasia who received SFV treatment reported in the work of Evans, Cavanaugh, Quique, et al. (2021) were analyzed using Bayesian generalized linear mixed-effects models. Models evaluated whether performance on three treatment components (facilitated retrieval, feature verification, and effortful retrieval) moderated treatment response for treated and semantically related, untreated words.</jats:p> </jats:sec> <jats:sec> <jats:title>Results:</jats:title> <jats:p>There was no evidence for or against a relationship between successful feature verification practice and treatment response. In contrast, there was a robust relationship between the two retrieval practice components and treatment response for treated words only.</jats:p> </jats:sec> <jats:sec> <jats:title>Discussion:</jats:title> <jats:p>Findings were consistent with the second hypothesis: Retrieval practice, but not feature verification practice, appears to be a practice-related predictor of treatment response in SFV. However, treatment components are likely interdependent, and feature verification may still be an active ingredient in SFV. Further research is needed to evaluate the causal role of treatment components on treatment outcomes in aphasia.</jats:p> </jats:sec> Practice-Related Predictors of Semantic Feature Verification Treatment for Aphasia American Journal of Speech-Language Pathology |
| spellingShingle | Cavanaugh, Robert, Quique, Yina M., Dickey, Michael Walsh, Hula, William D., Boss, Emily, Evans, William S., American Journal of Speech-Language Pathology, Practice-Related Predictors of Semantic Feature Verification Treatment for Aphasia, Speech and Hearing, Linguistics and Language, Developmental and Educational Psychology, Otorhinolaryngology |
| title | Practice-Related Predictors of Semantic Feature Verification Treatment for Aphasia |
| title_full | Practice-Related Predictors of Semantic Feature Verification Treatment for Aphasia |
| title_fullStr | Practice-Related Predictors of Semantic Feature Verification Treatment for Aphasia |
| title_full_unstemmed | Practice-Related Predictors of Semantic Feature Verification Treatment for Aphasia |
| title_short | Practice-Related Predictors of Semantic Feature Verification Treatment for Aphasia |
| title_sort | practice-related predictors of semantic feature verification treatment for aphasia |
| title_unstemmed | Practice-Related Predictors of Semantic Feature Verification Treatment for Aphasia |
| topic | Speech and Hearing, Linguistics and Language, Developmental and Educational Psychology, Otorhinolaryngology |
| url | http://dx.doi.org/10.1044/2021_ajslp-21-00296 |