DSM-5-TR Severity Levels for Autism Spectrum Disorder (ASD): Agreement Between Clinicians Using Telehealth and In-Person Assessment Procedures / Michael J. MORRIER in Autism Research, 19-10 (October 2026)  

Public ISBD [article]  inAutism Research > 19-10 (October 2026) . - p.e70351 Titre : DSM-5-TR Severity Levels for Autism Spectrum Disorder (ASD): Agreement Between Clinicians Using Telehealth and In-Person Assessment Procedures Type de document : texte imprimé Auteurs : Michael J. MORRIER, Auteur ; Allison J. SCHWARTZ, Auteur Année de publication : 2026 Article en page(s) : p.e70351 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  clinician agreement  diagnostic assessment  DSM-5-TR  severity ratings Index. décimale : PER Périodiques Résumé : ABSTRACT The DSM-5/DSM-5-TR includes clinician-reported severity levels to help individualize autism spectrum disorder (ASD) diagnoses. Severity levels for the two core autism domains of social communication and interaction (SCI) and restricted and repetitive behaviors (RRBs) are assigned using a 3-point Likert scale, with higher levels indicating greater symptom severity. Research examining the consistency of DSM-5-TR severity-rating agreement has been limited. Four doctoral-level clinicians independently evaluated 49 toddlers, ages 16?31?months, with each child receiving both a telehealth and an in-person (IPA) comprehensive diagnostic assessment. Previous research using this cohort demonstrated high agreement between clinicians for overall ASD diagnostic outcome. The present study examined agreement in clinician-assigned DSM-5-TR severity levels. Agreement between assessment protocols was fair for SCI (??=?0.318, 95% CI [?0.114, 0.352]) and slight for RRB (??=?0.195, 95% CI [?0.046, 0.436]). Further analyses revealed no significant differences in severity ratings based on individual clinician, clinical team, or assessment protocol. These findings suggest that factors beyond the core ASD symptom domains may influence clinicians' assignment of DSM-5-TR severity levels despite guidance that ratings should reflect impairment within SCI and RRB. The relatively low agreement observed for severity ratings, despite previously demonstrated high agreement for ASD diagnostic classification, suggests that assigning a diagnosis and determining the level of support needed represent distinct clinical decisions. Improving the consistency and transparency of DSM-5-TR severity level assignment may strengthen clinical communication, treatment planning, and equitable access to services while enhancing the reliability and clinical utility of these specifiers across diagnostic settings. En ligne : https://doi.org/10.1002/aur.70351 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=594 [article] DSM-5-TR Severity Levels for Autism Spectrum Disorder (ASD): Agreement Between Clinicians Using Telehealth and In-Person Assessment Procedures [texte imprimé] / Michael J. MORRIER, Auteur ; Allison J. SCHWARTZ, Auteur . - 2026 . - p.e70351. Langues : Anglais (eng) in Autism Research > 19-10 (October 2026) . - p.e70351 Mots-clés : autism spectrum disorder  clinician agreement  diagnostic assessment  DSM-5-TR  severity ratings Index. décimale : PER Périodiques Résumé : ABSTRACT The DSM-5/DSM-5-TR includes clinician-reported severity levels to help individualize autism spectrum disorder (ASD) diagnoses. Severity levels for the two core autism domains of social communication and interaction (SCI) and restricted and repetitive behaviors (RRBs) are assigned using a 3-point Likert scale, with higher levels indicating greater symptom severity. Research examining the consistency of DSM-5-TR severity-rating agreement has been limited. Four doctoral-level clinicians independently evaluated 49 toddlers, ages 16?31?months, with each child receiving both a telehealth and an in-person (IPA) comprehensive diagnostic assessment. Previous research using this cohort demonstrated high agreement between clinicians for overall ASD diagnostic outcome. The present study examined agreement in clinician-assigned DSM-5-TR severity levels. Agreement between assessment protocols was fair for SCI (??=?0.318, 95% CI [?0.114, 0.352]) and slight for RRB (??=?0.195, 95% CI [?0.046, 0.436]). Further analyses revealed no significant differences in severity ratings based on individual clinician, clinical team, or assessment protocol. These findings suggest that factors beyond the core ASD symptom domains may influence clinicians' assignment of DSM-5-TR severity levels despite guidance that ratings should reflect impairment within SCI and RRB. The relatively low agreement observed for severity ratings, despite previously demonstrated high agreement for ASD diagnostic classification, suggests that assigning a diagnosis and determining the level of support needed represent distinct clinical decisions. Improving the consistency and transparency of DSM-5-TR severity level assignment may strengthen clinical communication, treatment planning, and equitable access to services while enhancing the reliability and clinical utility of these specifiers across diagnostic settings. En ligne : https://doi.org/10.1002/aur.70351 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=594

Validation of an Enhanced Telehealth Platform for Toddlers at Increased Likelihood for a Diagnosis of Autism Spectrum Disorder (ASD) / Michael J. MORRIER in Journal of Autism and Developmental Disorders, 54-11 (November)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 54-11 (November) . - p.4019-4033 Titre : Validation of an Enhanced Telehealth Platform for Toddlers at Increased Likelihood for a Diagnosis of Autism Spectrum Disorder (ASD) Type de document : texte imprimé Auteurs : Michael J. MORRIER, Auteur ; Allison J. SCHWARTZ, Auteur ; Catherine E. RICE, Auteur ; Amanda PLATNER, Auteur ; Opal Y. OUSLEY, Auteur ; Sara KASSEM, Auteur ; Ashwin V. KRISHNAN, Auteur ; Catherine LORD, Auteur ; Christopher J. SMITH, Auteur ; Ron OBERLEITNER, Auteur Article en page(s) : p.4019-4033 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Use of telehealth assessments for toddlers at increased likelihood of autism spectrum disorder (ASD) began prior to the global COVID-19 pandemic; however, the value of telehealth assessments as an alternative to in-person assessment (IPA) became clearer during the pandemic. The Naturalistic Observation Diagnosis Assessment (NODA?), previously demonstrated as a valid and reliable tool to evaluate asynchronous behaviors for early diagnosis, was enhanced to add synchronous collection of behaviors to assist clinicians in making a differential diagnosis of ASD. This study was conducted to validate the information gathered through NODA-Enhanced (NODA-E?) as compared to a gold standard IPA. Forty-nine toddlers aged 16.0-32.1 months of age, recruited through community pediatric offices and a tertiary ASD clinic, participated in both NODA-E and IPA assessments. There was high agreement between the two assessment protocols for overall diagnosis (46 of 49 cases; 93.6%; ? = .878), specific diagnostic criteria for social communication and social interaction (SCI; range 95.9-98%; ? = .918-.959), and for two of four criteria specified for restricted and repetitive behaviors (RRB; range 87.8-98%; ? = .755 and .959). There was lower agreement for two subcategories of RRBs (range 65.3-67.3%; ? = .306 and .347). NODA-E is a tool that can assist clinicians in making reliable and valid early ASD diagnoses using both asynchronous and synchronous information gathered via telehealth and offers an additional tool within a clinician s assessment toolbox. En ligne : https://doi.org/10.1007/s10803-023-06116-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=536 [article] Validation of an Enhanced Telehealth Platform for Toddlers at Increased Likelihood for a Diagnosis of Autism Spectrum Disorder (ASD) [texte imprimé] / Michael J. MORRIER, Auteur ; Allison J. SCHWARTZ, Auteur ; Catherine E. RICE, Auteur ; Amanda PLATNER, Auteur ; Opal Y. OUSLEY, Auteur ; Sara KASSEM, Auteur ; Ashwin V. KRISHNAN, Auteur ; Catherine LORD, Auteur ; Christopher J. SMITH, Auteur ; Ron OBERLEITNER, Auteur . - p.4019-4033. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 54-11 (November) . - p.4019-4033 Index. décimale : PER Périodiques Résumé : Use of telehealth assessments for toddlers at increased likelihood of autism spectrum disorder (ASD) began prior to the global COVID-19 pandemic; however, the value of telehealth assessments as an alternative to in-person assessment (IPA) became clearer during the pandemic. The Naturalistic Observation Diagnosis Assessment (NODA?), previously demonstrated as a valid and reliable tool to evaluate asynchronous behaviors for early diagnosis, was enhanced to add synchronous collection of behaviors to assist clinicians in making a differential diagnosis of ASD. This study was conducted to validate the information gathered through NODA-Enhanced (NODA-E?) as compared to a gold standard IPA. Forty-nine toddlers aged 16.0-32.1 months of age, recruited through community pediatric offices and a tertiary ASD clinic, participated in both NODA-E and IPA assessments. There was high agreement between the two assessment protocols for overall diagnosis (46 of 49 cases; 93.6%; ? = .878), specific diagnostic criteria for social communication and social interaction (SCI; range 95.9-98%; ? = .918-.959), and for two of four criteria specified for restricted and repetitive behaviors (RRB; range 87.8-98%; ? = .755 and .959). There was lower agreement for two subcategories of RRBs (range 65.3-67.3%; ? = .306 and .347). NODA-E is a tool that can assist clinicians in making reliable and valid early ASD diagnoses using both asynchronous and synchronous information gathered via telehealth and offers an additional tool within a clinician s assessment toolbox. En ligne : https://doi.org/10.1007/s10803-023-06116-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=536

---

1 (1 - 2 / 2) Par page : 25 50 100 200