Sociocultural factors associated with detection of autism among culturally and linguistically diverse communities in Australia.

BACKGROUND: The age at which parents or caregivers first develop concerns about their child's development has significant implications on formal diagnosis and intervention. This study aims to determine the sociocultural factors that are associated with the age and type of first concern reported by parents of autistic children among culturally and linguistically diverse (CALD) communities in Australia. We also assessed whether sociocultural factors predict autism traits measured in terms of social affect (SA), restricted and repetitive behaviours (RRB), and calibrated severity scores (CSS). METHODS: This study is a secondary data analysis of the data collected from six Autism Specific Early Learning and Care Centres (ASELCCs) as part of the Autism Co-operative Research Centre (CRC) program between 2015 and 2019. Data analysed in this study included a family history questionnaire with sociodemographic and sociocultural information, parent-reported age and type of first concern, and clinician/researcher administered Autism Diagnostic Observation Schedule - Second Edition (ADOS-2) which includes standardised domain-wise scores of social affect (SA) and restricted and repetitive behaviours (RRB) as well as calibrated severity scores (CSS), a measure of severity of autism. Primary analysis included multivariable linear regression models to examine the predictive influence of sociodemographic and sociocultural factors on the dependant variables of age of concern (AOC) and the autism traits (SA, RRB, and CSS). RESULTS: The mean AOC in the sample was 18.18 months and the most common concerns were speech/language delay, limited social interaction, and hyperactivity/behavioural changes. The multivariable linear regression models showed factors such as increase in age of child, those from a CALD background, annual family income, sibling's autism diagnosis, and developmental concerns to be significantly associated with parental AOC. Additionally, we also found that increase in child's age and CALD status to be significant predictors of autism trait (RRB) and severity measured in terms of the CSS score. Further, females (compared to males) were associated with higher difficulties with social communication and interaction skills. CONCLUSION: Understanding key factors that contribute to early identification of autism can help tailor awareness programs for parents and caregivers, whilst also informing the development of services focused on serving all CALD communities.

Spoken Language Change in Children on the Autism Spectrum Receiving Community-Based Interventions.

We assessed the spoken language of 73 preschool aged children on the autism spectrum receiving community-based early intervention at two time points, approximately 7 months apart. Using the Spoken Language Benchmarks, there was a small non-significant change in the proportion of children transitioning from below, to at or above, Phase 3 (word combinations). Using binomial regression, a model comprising seven of nine clinician-proposed child-related predictors explained 64% of the variance. None of the predictors were individually significant, although a large effect size (OR = 16.71) was observed for children's baseline rate of communicative acts. The findings point to substantial unmet clinical need in children with minimal verbal language, but also the relevance of clinician-proposed predictors of their spoken language outcomes.

Clinical outcomes and associated predictors of early intervention in autism spectrum disorder: a study protocol.

INTRODUCTION: Research highlights the importance of early intervention for children with autism spectrum disorder with better outcomes associated with earlier access to early intensive intervention (EII) programmes. However, there is significant variability in response to EII despite children receiving the same programmes. METHODS AND ANALYSIS: A prospective, multisite cohort study using a pre-post design assesses the predictors of early intervention outcomes for children who receive EII through six early intervention services (Autism Specific Early Learning and Care Centres, ASELCCs) across Australia. Child and family characteristics at entry to and exit from ASELCCs are ascertained using measures of autism symptoms (Autism Diagnostic Observation Schedule-2; Social Communication Questionnaire); cognitive, language and developmental skills (Mullen Scale of Early Learning); adaptive function (Vineland Adaptive Behaviour Scale-second Edition); behaviours (Child Behaviour Checklist-1.5 to 5 years; Restricted Repetitive Behaviour Scale); parental stress (Parent Stress Index-4 Short Form); quality of life (Quality of Life in Autism Scale) and a semistructured family history questionnaire for sociodemographic, family and psychosocial characteristics. Characteristics at entry are used as predictors of outcome at exit following EII approximately 12 months later. The change in score from baseline to exit will be the primary outcome of interest. The mediating role of family and psychosocial factors will also be considered. ETHICS APPROVAL: University of New South Wales Human Research Ethics Committee (HC14267). DISSEMINATION OF RESULTS: Findings will be published in peer-reviewed journals and presented at conferences. A report summarising data and the interpretation of data will be published.

Clinician Proposed Predictors of Spoken Language Outcomes for Minimally Verbal Children with Autism Spectrum Disorder.

Our aim was to explore insights from clinical practice that may inform efforts to understand and account for factors that predict spoken language outcomes for children with Autism Spectrum Disorder who use minimal verbal language. We used a qualitative design involving three focus groups with 14 speech pathologists to explore their views and experiences. Using the Framework Method of analysis, we identified 9 themes accounting for 183 different participant references to potential factors. Participants highlighted the relevance of clusters of fine-grained social, communication, and learning behaviours, including novel insights into prelinguistic vocal behaviours. The participants suggested the potential value of dynamic assessment in predicting spoken language outcomes. The findings can inform efforts to developing clinically relevant methods for predicting children's communication outcomes.

"The big wide world of school": Supporting children on the autism spectrum to successfully transition to primary school: Perspectives from parents and early intervention professionals.

BACKGROUND: The transition to primary school is often a complex and uncertain time for autistic children and their families. Understanding how best to develop school readiness and support transition to primary school for autistic children is essential. School readiness and transition planning are influenced by a range of personal and contextual factors, and it is important to understand the perspectives of the various stakeholders involved in the transition process. METHODS: A qualitative exploration employing focus groups and interviews was undertaken with early intervention (EI) staff (n = 45) and parents (n = 18) across Australia to understand their perspectives on school readiness and the transition to primary school. RESULTS: Thematic analysis identified four emerging themes facilitating transition including: 1) building the child; 2) building the parents; 3) building the receiving school; and, 4) connecting the system. CONCLUSION: Findings highlight the need to consider school readiness and transition planning from a holistic perspective, ensuring clear, collaborative and ongoing communication between parents, teachers and EI staff, using a strength-based approach, and individualizing transition planning.

Brief Report: Perceived Evidence and Use of Autism Intervention Strategies in Early Intervention Providers.

Use of empirically unsupported practices is a challenge in the field of autism spectrum disorder (ASD). We explored whether attitudes and perceived evidence were linked to intended practice use in early intervention staff. Seventy-one participants completed ratings of the evidence base, current and future use of six ASD intervention practices, and reported attitudes to research and evidence-based practice. Participants reported greater use and rated the evidence base higher for the empirically supported practices. However, variability in accuracy of evidence base ratings was observed across individuals. Higher perceived evidence was linked to greater future use intentions for empirically supported and unsupported practices. The need for accurate information across practice types is highlighted. Self-report methodology limitations and future research directions are discussed.

Evaluation of a template for countering misinformation-Real-world Autism treatment myth debunking.

Misinformation poses significant challenges to evidence-based practice. In the public health domain specifically, treatment misinformation can lead to opportunity costs or direct harm. Alas, attempts to debunk misinformation have proven sub-optimal, and have even been shown to "backfire", including increasing misperceptions. Thus, optimized debunking strategies have been developed to more effectively combat misinformation. The aim of this study was to test these strategies in a real-world setting, targeting misinformation about autism interventions. In the context of professional development training, we randomly assigned participants to an "optimized-debunking" or a "treatment-as-usual" training condition and compared support for non-empirically-supported treatments before, after, and six weeks following completion of online training. Results demonstrated greater benefits of optimized debunking immediately after training; thus, the implemented strategies can serve as a general and flexible debunking template. However, the effect was not sustained at follow-up, highlighting the need for further research into strategies for sustained change.