Consistency and reliability of automated language measures across expressive language samples in autism / Heather MACFARLANE in Autism Research, 16-4 (April 2023)  

Public ISBD [article]  inAutism Research > 16-4 (April 2023) . - p.802-816 Titre : Consistency and reliability of automated language measures across expressive language samples in autism Type de document : Texte imprimé et/ou numérique Auteurs : Heather MACFARLANE, Auteur ; Alexandra C. SALEM, Auteur ; Steven BEDRICK, Auteur ; Jill K. DOLATA, Auteur ; Jack WIEDRICK, Auteur ; Grace O. LAWLEY, Auteur ; Lizbeth H. FINESTACK, Auteur ; Sara T. KOVER, Auteur ; Angela John THURMAN, Auteur ; Leonard ABBEDUTO, Auteur ; Eric FOMBONNE, Auteur Article en page(s) : p.802-816 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder with substantial clinical heterogeneity, especially in language and communication ability. There is a need for validated language outcome measures that show sensitivity to true change for this population. We used Natural Language Processing to analyze expressive language transcripts of 64 highly-verbal children and young adults (age: 6-23?years, mean 12.8?years; 78.1% male) with ASD to examine the validity across language sampling context and test-retest reliability of six previously validated Automated Language Measures (ALMs), including Mean Length of Utterance in Morphemes, Number of Distinct Word Roots, C-units per minute, unintelligible proportion, um rate, and repetition proportion. Three expressive language samples were collected at baseline and again 4?weeks later. These samples comprised interview tasks from the Autism Diagnostic Observation Schedule (ADOS-2) Modules 3 and 4, a conversation task, and a narration task. The influence of language sampling context on each ALM was estimated using either generalized linear mixed-effects models or generalized linear models, adjusted for age, sex, and IQ. The 4?weeks test-retest reliability was evaluated using Lin's Concordance Correlation Coefficient (CCC). The three different sampling contexts were associated with significantly (P En ligne : https://doi.org/10.1002/aur.2897 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=499 [article] Consistency and reliability of automated language measures across expressive language samples in autism [Texte imprimé et/ou numérique] / Heather MACFARLANE, Auteur ; Alexandra C. SALEM, Auteur ; Steven BEDRICK, Auteur ; Jill K. DOLATA, Auteur ; Jack WIEDRICK, Auteur ; Grace O. LAWLEY, Auteur ; Lizbeth H. FINESTACK, Auteur ; Sara T. KOVER, Auteur ; Angela John THURMAN, Auteur ; Leonard ABBEDUTO, Auteur ; Eric FOMBONNE, Auteur . - p.802-816. Langues : Anglais (eng) in Autism Research > 16-4 (April 2023) . - p.802-816 Index. décimale : PER Périodiques Résumé : Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder with substantial clinical heterogeneity, especially in language and communication ability. There is a need for validated language outcome measures that show sensitivity to true change for this population. We used Natural Language Processing to analyze expressive language transcripts of 64 highly-verbal children and young adults (age: 6-23?years, mean 12.8?years; 78.1% male) with ASD to examine the validity across language sampling context and test-retest reliability of six previously validated Automated Language Measures (ALMs), including Mean Length of Utterance in Morphemes, Number of Distinct Word Roots, C-units per minute, unintelligible proportion, um rate, and repetition proportion. Three expressive language samples were collected at baseline and again 4?weeks later. These samples comprised interview tasks from the Autism Diagnostic Observation Schedule (ADOS-2) Modules 3 and 4, a conversation task, and a narration task. The influence of language sampling context on each ALM was estimated using either generalized linear mixed-effects models or generalized linear models, adjusted for age, sex, and IQ. The 4?weeks test-retest reliability was evaluated using Lin's Concordance Correlation Coefficient (CCC). The three different sampling contexts were associated with significantly (P En ligne : https://doi.org/10.1002/aur.2897 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=499

Pragmatic language markers of autism diagnosis and severity / Jill K. DOLATA in Research in Autism Spectrum Disorders, 94 (June 2022)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 94 (June 2022) . - 101970 Titre : Pragmatic language markers of autism diagnosis and severity Type de document : Texte imprimé et/ou numérique Auteurs : Jill K. DOLATA, Auteur ; Shannon SUAREZ, Auteur ; Beth CALAME, Auteur ; Eric FOMBONNE, Auteur Article en page(s) : 101970 Langues : Anglais (eng) Mots-clés : Language assessment  Parent report  Social communication Index. décimale : PER Périodiques Résumé : Purpose Assessment of pragmatic language difficulties is limited with conventional tests but can be performed with informant reports. We evaluated the performance of a parent-completed language scale in differentiating autism from typical development (TD) and another neurodevelopmental disorder. Specifically, we aimed to gauge the respective values of structural and pragmatic language scores for diagnostic discrimination and for predicting severity of social impairment in autistic children. Method 174 children aged 7?17 (101 with autism, 45 with ADHD, 28 with TD) were evaluated with the ADOS-2 and an abbreviated version of the WISC. Parents completed the Children?s Communication Checklist, 2nd Edition (CCC-2) and the Social Responsiveness Scale. CCC-2 mean differences across diagnostic groups were tested with analysis of variance and covariance. Multiple linear regression was used to compare the structural and pragmatic CCC-2 scores in predicting autism symptom severity. Results Both structural and pragmatic language scores discriminated between the three diagnostic groups, with stronger effects for the pragmatic scores. Pragmatic scores remained robust predictors of ADHD and ASD diagnoses even after accounting for cognitive and structural linguistic differences. Among autistic children, social impairment severity was associated with pragmatic, but not structural, language profiles. Conclusions In order to characterize pragmatic language, easy to administer parent questionnaires such as the CCC-2 may support clinicians who are considering an autism diagnosis and needing to evaluate and monitor social communication. En ligne : https://doi.org/10.1016/j.rasd.2022.101970 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476 [article] Pragmatic language markers of autism diagnosis and severity [Texte imprimé et/ou numérique] / Jill K. DOLATA, Auteur ; Shannon SUAREZ, Auteur ; Beth CALAME, Auteur ; Eric FOMBONNE, Auteur . - 101970. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 94 (June 2022) . - 101970 Mots-clés : Language assessment  Parent report  Social communication Index. décimale : PER Périodiques Résumé : Purpose Assessment of pragmatic language difficulties is limited with conventional tests but can be performed with informant reports. We evaluated the performance of a parent-completed language scale in differentiating autism from typical development (TD) and another neurodevelopmental disorder. Specifically, we aimed to gauge the respective values of structural and pragmatic language scores for diagnostic discrimination and for predicting severity of social impairment in autistic children. Method 174 children aged 7?17 (101 with autism, 45 with ADHD, 28 with TD) were evaluated with the ADOS-2 and an abbreviated version of the WISC. Parents completed the Children?s Communication Checklist, 2nd Edition (CCC-2) and the Social Responsiveness Scale. CCC-2 mean differences across diagnostic groups were tested with analysis of variance and covariance. Multiple linear regression was used to compare the structural and pragmatic CCC-2 scores in predicting autism symptom severity. Results Both structural and pragmatic language scores discriminated between the three diagnostic groups, with stronger effects for the pragmatic scores. Pragmatic scores remained robust predictors of ADHD and ASD diagnoses even after accounting for cognitive and structural linguistic differences. Among autistic children, social impairment severity was associated with pragmatic, but not structural, language profiles. Conclusions In order to characterize pragmatic language, easy to administer parent questionnaires such as the CCC-2 may support clinicians who are considering an autism diagnosis and needing to evaluate and monitor social communication. En ligne : https://doi.org/10.1016/j.rasd.2022.101970 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476

Provider perspectives on equity in use of mobile health autism screening tools / Luis Andres RIVAS VAZQUEZ ; Yesenia MORALES SANTOS ; Plyce FUCHU ; Sarabeth BRODER-FINGERT ; Jill K. DOLATA ; Steven BEDRICK ; Jasmine FERNANDEZ ; Eric FOMBONNE ; Benjamin W. SANDERS in Autism, 28-8 (August 2024)  

Public ISBD [article]  inAutism > 28-8 (August 2024) . - p.1947-1958 Titre : Provider perspectives on equity in use of mobile health autism screening tools Type de document : Texte imprimé et/ou numérique Auteurs : Luis Andres RIVAS VAZQUEZ, Auteur ; Yesenia MORALES SANTOS, Auteur ; Plyce FUCHU, Auteur ; Sarabeth BRODER-FINGERT, Auteur ; Jill K. DOLATA, Auteur ; Steven BEDRICK, Auteur ; Jasmine FERNANDEZ, Auteur ; Eric FOMBONNE, Auteur ; Benjamin W. SANDERS, Auteur Article en page(s) : p.1947-1958 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  digital divide  disparities  mass screening  mobile applications  providers Index. décimale : PER Périodiques Résumé : Mobile health (mHealth) screening tools for autism are gaining in prevalence, and have benefits such as video content and direct resources linkage. However, it is unclear whether such tools will ameliorate autism inequities or will help only those already advantaged in autism care. To investigate this issue, we conducted semi-structured qualitative interviews with 18 primary care and Early Intervention/Early Childhood Special Education providers in six US states. Providers were given hypothetical scenarios in which a family presents to care with results from one of 9 mHealth autism screening tools. Providers discussed their clinical approach and assessed the tool?s fit with their patient/client population. Each transcript was audio-recorded, transcribed, and coded; a phenomenological approach was used to develop key themes. 4 themes and 18 subthemes emerged. These included Clinical and business factors (e.g. scope of practice concerns and clinical efficiency), Validity and trustworthiness (e.g. familiarity, data privacy/security), Family interaction quality (e.g. supporting family advocacy, provision of information, affecting family anxiety, and emotional support), and Accessibility (e.g. English proficiency/language issues, cultural inclusivity, and literacy/educational level). Providers suggested modifications to enhance equity, such as portraying diverse families, reducing the reading level of text, and making tools shorter to better fit clinical context. Lay Abstract Families may find information about autism online, and health care and education providers may use online tools to screen for autism. However, we do not know if online autism screening tools are easily used by families and providers. We interviewed primary care and educational providers, asking them to review results from online tools that screen for autism. Providers had concerns about how usable and accessible these tools are for diverse families and suggested changes to make tools easier to use. En ligne : https://dx.doi.org/10.1177/13623613231215399 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=533 [article] Provider perspectives on equity in use of mobile health autism screening tools [Texte imprimé et/ou numérique] / Luis Andres RIVAS VAZQUEZ, Auteur ; Yesenia MORALES SANTOS, Auteur ; Plyce FUCHU, Auteur ; Sarabeth BRODER-FINGERT, Auteur ; Jill K. DOLATA, Auteur ; Steven BEDRICK, Auteur ; Jasmine FERNANDEZ, Auteur ; Eric FOMBONNE, Auteur ; Benjamin W. SANDERS, Auteur . - p.1947-1958. Langues : Anglais (eng) in Autism > 28-8 (August 2024) . - p.1947-1958 Mots-clés : autism spectrum disorder  digital divide  disparities  mass screening  mobile applications  providers Index. décimale : PER Périodiques Résumé : Mobile health (mHealth) screening tools for autism are gaining in prevalence, and have benefits such as video content and direct resources linkage. However, it is unclear whether such tools will ameliorate autism inequities or will help only those already advantaged in autism care. To investigate this issue, we conducted semi-structured qualitative interviews with 18 primary care and Early Intervention/Early Childhood Special Education providers in six US states. Providers were given hypothetical scenarios in which a family presents to care with results from one of 9 mHealth autism screening tools. Providers discussed their clinical approach and assessed the tool?s fit with their patient/client population. Each transcript was audio-recorded, transcribed, and coded; a phenomenological approach was used to develop key themes. 4 themes and 18 subthemes emerged. These included Clinical and business factors (e.g. scope of practice concerns and clinical efficiency), Validity and trustworthiness (e.g. familiarity, data privacy/security), Family interaction quality (e.g. supporting family advocacy, provision of information, affecting family anxiety, and emotional support), and Accessibility (e.g. English proficiency/language issues, cultural inclusivity, and literacy/educational level). Providers suggested modifications to enhance equity, such as portraying diverse families, reducing the reading level of text, and making tools shorter to better fit clinical context. Lay Abstract Families may find information about autism online, and health care and education providers may use online tools to screen for autism. However, we do not know if online autism screening tools are easily used by families and providers. We interviewed primary care and educational providers, asking them to review results from online tools that screen for autism. Providers had concerns about how usable and accessible these tools are for diverse families and suggested changes to make tools easier to use. En ligne : https://dx.doi.org/10.1177/13623613231215399 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=533

"Um" and "Uh" Usage Patterns in Children with Autism: Associations with Measures of Structural and Pragmatic Language Ability / Grace O. LAWLEY in Journal of Autism and Developmental Disorders, 53-8 (August 2023)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 53-8 (August 2023) . - p.2986-2997 Titre : "Um" and "Uh" Usage Patterns in Children with Autism: Associations with Measures of Structural and Pragmatic Language Ability Type de document : Texte imprimé et/ou numérique Auteurs : Grace O. LAWLEY, Auteur ; Steven BEDRICK, Auteur ; Heather MACFARLANE, Auteur ; Jill K. DOLATA, Auteur ; Alexandra C. SALEM, Auteur ; Eric FOMBONNE, Auteur Article en page(s) : p.2986-2997 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Pragmatic language difficulties, including unusual filler usage, are common among children with Autism Spectrum Disorder (ASD). This study investigated "um" and "uh" usage in children with ASD and typically developing (TD) controls. We analyzed transcribed Autism Diagnostic Observation Schedule (ADOS) sessions for 182 children (117 ASD, 65 TD), aged 4 to 15. Although the groups did not differ in "uh" usage, the ASD group used fewer "ums" than the TD group. This held true after controlling for age, sex, and IQ. Within ASD, social affect and pragmatic language scores did not predict filler usage; however, structural language scores predicted "um" usage. Lower "um" rates among children with ASD may reflect problems with planning or production rather than pragmatic language. En ligne : https://doi.org/10.1007/s10803-022-05565-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=508 [article] "Um" and "Uh" Usage Patterns in Children with Autism: Associations with Measures of Structural and Pragmatic Language Ability [Texte imprimé et/ou numérique] / Grace O. LAWLEY, Auteur ; Steven BEDRICK, Auteur ; Heather MACFARLANE, Auteur ; Jill K. DOLATA, Auteur ; Alexandra C. SALEM, Auteur ; Eric FOMBONNE, Auteur . - p.2986-2997. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 53-8 (August 2023) . - p.2986-2997 Index. décimale : PER Périodiques Résumé : Pragmatic language difficulties, including unusual filler usage, are common among children with Autism Spectrum Disorder (ASD). This study investigated "um" and "uh" usage in children with ASD and typically developing (TD) controls. We analyzed transcribed Autism Diagnostic Observation Schedule (ADOS) sessions for 182 children (117 ASD, 65 TD), aged 4 to 15. Although the groups did not differ in "uh" usage, the ASD group used fewer "ums" than the TD group. This held true after controlling for age, sex, and IQ. Within ASD, social affect and pragmatic language scores did not predict filler usage; however, structural language scores predicted "um" usage. Lower "um" rates among children with ASD may reflect problems with planning or production rather than pragmatic language. En ligne : https://doi.org/10.1007/s10803-022-05565-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=508

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