In low-resource settings, non-profit organisations play an essential role in providing services and support for families with young children with autism. However, resource constraints limit access to quality training in evidence-based interventions. Web-based training may help fill this gap. This study examined the feasibility, acceptability and appropriateness of the web-based Autism Navigator® JumpStart to Coaching in Everyday Activities course for 26 non-profit organisation providers (10 specialists and 16 non-specialists) in South Africa. Quantitative and qualitative methods were used including a post-training survey. Sixteen providers (62%) completed the course More over an average period of 5.58 months, with many completing the course during lockdown restrictions, suggesting time as a barrier to course completion. No provider characteristics were related to attrition, nor to the time taken to complete the course. Better English proficiency, higher education levels and more positive attitudes to implementing an evidence-based intervention were associated with the number of attempts needed to pass some learner assessments, and to perceptions of course feasibility, acceptability, and appropriateness. Adaptations in the training delivery (using a group format and local group conference calls) and inclusion of South African video clips were identified as potential facilitators to acceptability and appropriateness.

This study examined patterns of verbal responsiveness in parents of toddlers (Mage = 20 months) later identified with autism (n = 121), developmental delay (n = 46), or typical development (n = 44) during an hourlong home observation. Parent verbal responsiveness (PVR) was compared using MANOVA across groups and by child expressive language phase. Multiple regression analyses controlling for child age and maternal education were employed to examine the extent to which PVR predicted variance in concurrent child social communication and prospective language skills. Parents provided synchronous responses approximately 90% of the time. Parents of children with autism and developmental delay More used smaller proportions of responses that added linguistic information (i.e., expansions and follow-in directives for language) than those of children with typical development. Parents of children in the preverbal phase were more likely, on average, to affirm their children’s acts of intentional communication or provide a follow-in directive for action that did not necessitate a verbal response than to expand or elicit language. Regression results indicated that parental use of expansions and follow-in directives for language made significant contributions to child language outcomes. The patterns we observed may reflect parents’ attunement to their child’s developmental level. Responsiveness to a child’s focus of attention is vital in the earlier stages of language learning; however, results point to the potential importance of parental expansions and follow-in directives for promoting language development across groups in this sample. Directions for intervention research targeting PVR and language skills in toddlers with autism and developmental delays are discussed.

Purpose: Interactions with caregivers during the ordinary activities that occur as families go about their everyday lives are critical to supporting children’s acquisition of social communication and language skills. The purpose of this study was to examine child communication and parent verbal responsiveness across interaction contexts in 211 children (Mage = 20 months) on the autism spectrum (n = 121), with developmental delay (n = 46), or with typical development (n = 44). Method: Families participated in up to eight activities during an hour-long, video-recorded home observation. We tested differences in the strength of associations between diagnostic More group and interaction context using linear mixed-effects models, with child rate per minute of communication and proportions of parent follow-in comments and directives as outcome variables. Child communicative functions expressed across contexts were also examined. Results: Children across groups communicated at significantly higher rates per minute during book sharing and play with people compared to other interaction contexts. Most child communication was for the function of joint attention during book sharing, for social interaction during play with people, and for behavior regulation during necessary activities such as family chores and meals. On average, parents of children responded using proportionally more follow-in comments during book sharing and play compared to necessary activities, during which parents used more follow-in directives. Conclusion: Results provide a glimpse into the dyadic communication that may occur within everyday activities at home, which supports the need for future intervention research and may aid clinicians seeking to identify activities that serve as important contexts for intervention.

Background: How best to improve the early detection of autism spectrum disorder (ASD) is the subject of significant controversy. Some argue that universal ASD screeners are highly accurate, whereas others argue that evidence for this claim is insufficient. Relatedly, there is no clear consensus as to the optimal role of screening for making referral decisions for evaluation and treatment. Published screening research can meaningfully inform these questions—but only through careful consideration of children who do not complete diagnostic follow-up. Methods: We developed two simulation models that re-analyze the results of a large-scale validation study of the M-CHAT-R/F by More Robins et al. (2014, Pediatrics, 133, 37). Model #1 re-analyzes screener accuracy across six scenarios, each reflecting different assumptions regarding loss to follow-up. Model #2 builds on this by closely examining differential attrition at each point of the multi-step detection process. Results: Estimates of sensitivity ranged from 40% to 94% across scenarios, demonstrating that estimates of accuracy depend on assumptions regarding the diagnostic status of children who were lost to follow-up. Across a range of plausible assumptions, data also suggest that children with undiagnosed ASD may be more likely to complete follow-up than children without ASD, highlighting the role of clinicians and caregivers in the detection process. Conclusions: Using simulation modeling as a quantitative method to examine potential bias in screening studies, analyses suggest that ASD screening tools may be less accurate than is often reported. Models also demonstrate the critical importance of every step in a detection process—including steps that determine whether children should complete an additional evaluation. We conclude that parent and clinician decision-making regarding follow-up may contribute more to detection than is widely assumed.

Robust evidence supports the efficacy of early autism intervention. Despite broad consensus that earlier intervention leads to better outcomes, evidence for this has been limited to correlational studies. This study examined timing effects of the Early Social Interaction (ESI) model, a parent-implemented intervention, using a complete crossover randomized controlled trial (RCT). Effects of Individual-ESI were compared when initiated at 18 or 27months of age and also contrasted with effects of the less intensive Group-ESI as an active control condition. Participants included 82 autistic toddlers who received 9 months of Individual-ESI and 9 months of Group-ESI, with the timing/order randomized. Blinded clinicians completed More assessments at baseline (18months of age), end of Condition 1 (27months), and end of Condition 2 (36months). Toddlers randomized to Individual-ESI at 18months showed greater gains during treatment than those starting Individual-ESI at 27months in receptive/expressive language, social communication, and daily living skills. This pattern was not observed for Group-ESI, demonstrating that timing effects were specific to Individual-ESI and ruling out maturation effects. This RCT demonstrated that earlier intensive, individualized intervention led to greater improvements and suggests that even a narrow window of 18 versus 27 months may impact child outcomes.

Background & Aims: Social communication and language skills have been found to be important predictors of long-term outcomes in individuals with autism spectrum disorder (ASD). However, the development of coordinated social communication (i.e., gestures and sounds or words) remains relatively understudied in young children with ASD and developmental delays (DD). This study used a prospective, longitudinal design and granular observational coding to document the coordination of gestures, sounds, and words in a large, heterogeneous sample of toddlers identified with ASD, DD, or typical development (TD) during a naturalistic home observation. Specific aims were: (1) to compare rates per minute and More proportions of coordinated child communicative acts across groups; (2) to examine concurrent relationships between coordinated communication and measures of social communication and autism symptoms; and (3) to examine prospective relationships between coordinated communication, receptive and expressive language skills, and autism symptoms collected at 3 years of age. Methods: At a mean age of 20.3 months (SD = 2.0), 211 children (nASD = 121; nDD = 46; nTD = 44) participated in everyday activities with a parent during an hourlong home observation. Rates per minute and proportions of gestures, sounds and words, as well as temporally overlapping gesture + sound, gesture + word, and gesture + phrase combinations, were compared using one-way ANOVA. Pearson product moment correlations between coordinated communicative acts and measures of social communication, language, and autism symptoms were examined. Results: On average, children with ASD used sounds and gesture + sounds at significantly lower rates than DD and TD groups, who did not differ. Children with ASD and DD coordinated gesture + single words and gesture + phrases at significantly lower rates than the TD group. Groups did not differ with respect to the rate per minute at which they used gestures alone. Children with TD used a smaller proportion of sounds alone and higher proportions of words and phrases, with and without coordinated gestures, than ASD and DD groups. Children with ASD and DD used a significantly higher proportion of gestures alone than children with TD. Rates per minute and proportions of single words and gesture + words had significant correlations with measures of social communication, language skills, and autism symptoms. Conclusions: Results suggest that a significantly lower rate per minute of sounds and gesture + sound combinations was a distinguishing feature of ASD in our sample. Further, limited use of single words and gesture + single words were observed in children ASD and DD. Significant prospective relationships between single words and gesture + words with language skills measured over a year later underscores the importance of acquiring these forms. Implications: Results support the idea that clinicians should include opportunities to observe and encourage coordinated social communication while screening and assessing young children for DD and ASD in the home environment. The significant associations between rate of single words and gesture + word combinations with language development over a year later have implications for incorporating intervention targets that encourage the use of gesture-speech combinations.

Social-communication differences are a robust and defining feature of autism spectrum disorder (ASD) but identifying early points of divergence in infancy has been a challenge. The current study examines social communication in 9- to 12-month-old infants who develop ASD (N = 30; 23% female; 70% white) compared to typically developing (TD) infants (N = 94, 38% female; 88% white). Results demonstrate that infants later diagnosed with ASD were already exhibiting fewer social-communication skills using eye gaze, facial expression, gestures, and sounds at 9 months (effect size: 0.42–0.89). Moreover, three unique patterns of change across distinct social-communication skills were observed within the More ASD group. This study documents that observable social-communication differences for infants with ASD are unfolding by 9 months, pointing to a critical window for targeted intervention.

The COVID-19 pandemic has posed unique challenges for families and caregivers, as well as for autism-focused clinicians, who are faced with providing a thorough and accurate evaluation of children’s specific needs and diagnoses in the absence of in-person assessment tools. The shift to telehealth assessments has challenged clinicians to reconsider approaches and assumptions that underlie the diagnostic assessment process, and to adopt new ways of individualizing standard assessments according to family and child needs. Mandates for physical distancing have uncovered deficiencies in diagnostic practices for suspected autism and have illuminated biases that have posed obstacles preventing children and families from More receiving the services that they truly need. This Commentary outlines several considerations for improving diagnostic practices as we move forward from the current pandemic and continue to strive to build an adaptable, sustainable, equitable, and family-centered system of care.

There is a critical need for validated screening tools for autism spectrum disorder in very young children so families can access tailored intervention services as early as possible. Few screeners exist for children between the recommended screening ages of 18–24 months. This study examined the utility of a new autism-specific parent-report screening tool, the Early Screening for Autism and Communication Disorders for children 12–36 months. Field-testing was conducted from five sites with 471 children screened for communication delays in primary care or referred for familial risk or concern for autism spectrum disorder. The Early Screening for Autism and Communication Disorders was evaluated in More three age groups: 12–17, 18–23, and 24–36 months. A best-estimate diagnosis of autism spectrum disorder, developmental delay, or typical development was made. Receiver operating characteristic curves were examined for all 46 items and the 30 items that best discriminated autism spectrum disorder from the non-spectrum groups. Area under the curve estimates for the total were greater than 0.90 across age groups. Cutoffs were established for each age group with sensitivity between 0.86 and 0.92 and specificity between 0.74 and 0.85. Results provide preliminary support for the validity of the Early Screening for Autism and Communication Disorders as an autism-specific screener in children 12–36 months with elevated risk of communication delay or autism spectrum disorder.

Purpose: Valid and reliable screening tools are needed to improve early detection and optimize developmental outcomes for toddlers at risk for autism spectrum disorder (ASD). The current study aimed to evaluate the utility of the Systematic Observation of Red Flags (SORF) for ASD at 12 months of age in a sample of high-risk infant siblings of children with ASD. Method: As part of a prospective, longitudinal study, we examined the sensitivity and specificity of the SORF at 12 months for predicting a diagnosis of ASD at 24 months in a sample of 122 infants, 31 of whom were diagnosed with ASD. Results: The optimal SORF Composite cutoff score of 18 correctly identified 24 of More the 31 twelve-month-olds who were diagnosed with ASD, yielding a sensitivity of .77 and a specificity of .76. The optimal SORF Red Flags cutoff score of 7 correctly identified 20 of the 31 infants, yielding a sensitivity of .65 and a specificity of .75. Conclusion: This preliminary study demonstrates the potential of the SORF as an effective observational screening measure for 12-month-olds at risk for ASD with good discrimination, sensitivity, and specificity.

Purpose: Most toddlers with autism spectrum disorder and other developmental delays receive early intervention at home and may not participate in a clinic-based communication evaluation. However, there is limited research that has prospectively examined communication in very young children with and without autism in a home-based setting. This study used granular observational coding to document the communicative acts performed by toddlers with autism, developmental delay, and typical development in the home environment. Method: Children were selected from the archival database of the FIRST WORDS Project (N = 211). At approximately 20 months of age, each child participated in everyday activities with a More caregiver during an hour-long, video-recorded, naturalistic home observation. Inventories of unique gestures, rates per minute, and proportions of types of communicative acts and communicative functions were coded and compared using a one-way analysis of variance. Concurrent and prospective relationships between rate of communication and measures of social communication, language development, and autism symptoms were examined. Results: A total of 40,738 communicative acts were coded. Children with autism, developmental delay, and typical development used eight, nine, and 12 unique gestures on average, respectively. Children with autism used deictic gestures, vocalizations, and communicative acts for behavior regulation at significantly lower rates than the other groups. Statistically significant correlations were observed between rate of communication and several outcome measures. Conclusion: Observation of social communication in the natural environment may improve early identification of children with autism and communication delays, complement clinic-based assessments, and provide useful information about a child’s social communication profile and the family’s preferred activities and intervention priorities.

The purpose of this study was to implement a new online professional development course and digital screening tool combining broadband and autism-specific questions into a busy pediatric practice to promote earlier detection of young children with signs of ASD. Prior to the study, the average age of referral using the M-CHAT was around 3 years of age. Over the course of 1 year, results indicated an increase in the number of children screened earlier at well-child visits, beginning at 12 months of age. At the end of data collection, over 70% of visits at 15 months included a Smart ESAC screening, with a screening rate of 100% for the 12- and 18-month visits. In addition, the average age of More referral for early intervention eligibility following a positive screen for ASD dropped to 20 months. Results of this study support previous research demonstrating that an online screening tool was feasible for both parents and clinicians. Within 1 year, integration of the Smart ESAC was identified by this practice as a primary change associated with improvements in the detection of early signs of autism.

Background: Late talkers are a heterogeneous group of toddlers and reliable predictors of persistent language delay have been elusive. The purpose of this study was to determine the extent to which early social communication and vocabulary production predicted variance in language outcomes at 2 and 3 years of age. Methods: Participants were 408 typically developing and late-talking toddlers who completed the Communication and Symbolic Behavior Scales Caregiver Questionnaire and Behavior Sample (CSBS CQ and CSBS BS) at a mean of 20 months, the Language Development Survey (LDS) at a mean of 24 months, and the Mullen Scales of Early Learning (MSEL) at a mean of More 25 months. A subgroup of 198 children completed a second MSEL at 3 years of age. Associations among the LDS, CSBS CQ, CSBS BS, and MSEL were examined using correlational and hierarchical linear regression analyses. Logistic regression was used to examine each measure’s contribution to predicting language delay at 2 and 3 years. Results: Moderate to large correlations were observed among all variables. The LDS, CSBS CQ, and CSBS BS added unique contributions to the prediction of 2- and 3-year expressive and receptive language outcomes. Measures of speech and vocabulary production were the strongest predictors of language outcomes at age 2. At age 3, social and symbolic communication played a more significant role in accounting for variance in expressive and receptive language outcome. A similar pattern emerged for the categorical prediction of language delay. Conclusions: Measures of social communication between 18–21 months added important information to predicting language outcomes at 2 and 3 years, above and beyond parent-reported expressive vocabulary production measured at 24 months, with small effect sizes overall. Implications for identifying younger children who are at risk for continued language delay and recommendations for referral to early intervention programs are discussed.

The purpose of this study was to examine the utility of the Systematic Observation of Red Flags (SORF; Dow et al., 2016) as a level 2 screener for autism spectrum disorder (ASD) in toddlers during a naturalistic video-recorded home observation. Psychometric properties of the SORF were examined in a sample of 228 toddlers-84 with ASD, 82 with developmental delay (DD), and 62 with typical development (TD). Trained undergraduate research assistants blind to diagnosis rated 22 red flags (RF) of ASD associated with DSM-5 diagnostic criteria using a 4-point scale. The following scores were computed: a total score summing all items, domain scores summing social communication and More restricted, repetitive behavior items, and number of RF counting items with scores of 2 or 3 indicating clear symptom presence. The performance of the total, domain, and RF scores and individual items were examined. A composite score was formed with six items with the best psychometric performance: poor eye gaze directed to faces, limited showing and pointing, limited coordination of nonverbal communication, less interest in people than objects, repetitive use of objects, and excessive interest in particular objects, actions, or activities. The 6-item composite provides a brief measure with optimal performance, while the RF may be instrumental for clinicians who are interested in characterizing the range of observed symptoms. The SORF shows promise as a practical alternative to currently available screening methods for implementation by nonexperts with the potential to increase feasibility and reduce common obstacles to access to care. LAY SUMMARY: Research suggests that current autism spectrum disorder (ASD) screening tools are not accurate enough to use in routine screening. The Systematic Observation of Red Flags was developed as a practical option for children at high risk for ASD. It can be used with video-recorded samples of parent-child interactions in the home and by raters who are not experts in ASD. It shows promise in predicting ASD risk in toddlers to determine if a full diagnostic evaluation is necessary.

Research examining restricted and repetitive patterns of behavior or interests (RRB) in autism spectrum disorder (ASD) has increased our understanding of its contribution to diagnosis and its role in development. Advances in our knowledge of RRB are hindered by the inconsistencies in how RRB is measured. The present study examined the factor structure of the Repetitive Behavior Scale-Revised (RBS-R) in a sample of 350 children with ASD ages 2-9. Confirmatory factor analysis designed for items with categorical response types was implemented to examine six proposed structural models. The five-factor model demonstrated the most parsimonious fit based on More common overall fit indices that was further supported by examination of local model fit indicators, though, the four- and six-factor models evidenced adequate-to-good fit as well. Examination of RRB factor score approaches indicated only minor differences between summed item subscale scores and extracted factor scores with regard to associations with diagnostic measures. All RRB subtypes demonstrated significant associations with cognitive functioning and adaptive behavior. Implications for future research validating the RBS-R as a more extensive clinical measure of RRB in ASD are discussed. LAY SUMMARY: Repetitive behaviors are one of the two main symptoms of autism spectrum disorder (ASD). To better understand the role of repetitive behaviors, we must establish effective ways of measuring them. This study assessed the measurement qualities of the Repetitive Behavior Scale-Revised (RBS-R) in a sample of 350 children with ASD ages 2-9. We found that the RBS-R measures multiple types of repetitive behaviors and that these behaviors are related to thinking ability and independence.

In 2013, the National Institute of Mental Health funded five trials of unique, multicomponent, systems-based innovations designed to improve access to early screening, diagnosis, and treatment of autism spectrum disorder-collectively known as the Autism Spectrum Disorder Pediatric, Early Detection, Engagement, and Services Network. As part of an ongoing effort to pool data and learn from shared experience, we collected information across all studies about innovation components and implementation strategies. First, each study group completed standardized checklists based on the Template for Intervention Description and Replication and the Expert Recommendation for More Implementing Change. Then, we interviewed principal and co-investigators of each study (n = 9) to further explore innovation components and assess barriers and facilitators to implementation. Innovation strategies were diverse (five different autism spectrum disorder screeners were used, 40% included early intervention trainings, 60% involved new technology). Common implementation strategies included developing stakeholder relationships and provider trainings. Barriers included inefficient systems of care, difficulty engaging families in the innovations, provider attitudes, and organizational culture (e.g. difficulty changing clinic processes). These findings suggest that-despite diverse settings and a variety of innovation content-common facilitators and challenges exist in implementing innovations to enhance access to early autism spectrum disorder screening, diagnosis, and treatment.

Purpose: The need for community-viable, evidence-based intervention strategies for toddlers with autism spectrum disorder (ASD) is a national priority. The purpose of this research forum article is to identify gaps in intervention research and needs in community practice for toddlers with ASD, incorporate published findings from a randomized controlled trial (RCT) of the Early Social Interaction (ESI) model (Wetherby et al., 2014) to illustrate community-based intervention, report new findings on child active engagement from the ESI RCT, and offer solutions to bridge the research-to-community practice gap. Method: Research findings were reviewed to identify gaps in the evidence base for More toddlers with ASD. Published and new findings from the multisite ESI RCT compared the effects of two different ESI conditions for 82 toddlers with ASD to teach parents how to support active engagement in natural environments. Results: The RCT of the ESI model was the only parent-implemented intervention that reported differential treatment effects on standardized measures of child outcomes, including social communication, developmental level, and adaptive behavior. A new measure of active engagement in the natural environment was found to be sensitive to change in 3 months for young toddlers with ASD and to predict outcomes on the standardized measures of child outcomes. Strategies for utilizing the Autism Navigator collection of web-based courses and tools using extensive video footage for families and professional development are offered for scaling up in community settings to change developmental trajectories of toddlers with ASD. Conclusions: Current health care and education systems are challenged to provide intervention of adequate intensity for toddlers with ASD. The use of innovative technology can increase acceleration of access to evidence-based early intervention for toddlers with ASD that addresses health disparities, enables immediate response as soon as ASD is suspected, and rapidly bridges the research-to-practice gap.

There is a significant research-to-practice gap in early detection of young children with autism spectrum disorder (ASD) worldwide but particularly in low- and middle-income countries (LMICs) where expertise is limited, and high-quality training is difficult to access. Autism Navigator® for Primary Care is a web-based course designed to increase awareness of red flags of ASD in the second year of life and thus promote earlier detection and referral for intervention. It contains extensive video illustrations that offer rapid access to multiple exemplars of ASD red flags. This study examined aspects of feasibility of the Autism Navigator® for Primary Care in one LMIC, South Africa. A mixed-methods quasi-experimental design was More used to examine relevant professionals' implementation of the course and measure changes in their knowledge of red flags after training. Perceptions of the acceptability, demand, and practicality of the course were explored in focus groups. Sixty-two providers completed the course online with a 94% completion rate. Built-in learner assessment pass rates ranged from 88% to 100%. Second-language English speakers took longer to complete the learner assessments, and professionals with less access to the Internet spent less time in the course. Participants' perceptions of the acceptability, demand, and practicality of the course were mostly positive with some suggestions made for local conditions. Results supported the feasibility of the course in this LMIC with some supports required pertaining to language and Internet access. We propose that this training has the potential to lower the age of detection of ASD in South Africa and other LMICs. LAY SUMMARY: Professionals in low- and middle-income countries urgently need training to recognize red flags of autism in very young children. The feasibility of utilizing the Autism Navigator® for Primary Care course for this training was explored with 62 South African professionals. After training, professionals' knowledge of early red flags improved, and most reported the course important and needed in South Africa. They found the web-based design mostly acceptable, practical, and culturally applicable. The course could help lower the age of autism detection.

Objective: This cluster randomized trial (CRT) evaluated the efficacy of the Classroom Social, Communication, Emotional Regulation, and Transactional Support (SCERTS) Intervention (CSI) compared with usual school-based education with autism training modules (ATM). Method: Sixty schools with 197 students with autism spectrum disorder (ASD) in 129 classrooms were randomly assigned to CSI or ATM. Mean student age was 6.79 years (SD 1.05) and 81.2% were male. CSI teachers were trained on the model and provided coaching throughout the school year to assist with implementation. A CRT, with students nested within general and special education More classrooms nested within schools, was used to evaluate student outcomes. Results: The CSI group showed significantly better outcomes than the ATM group on observed measures of classroom active engagement with respect to social interaction. The CSI group also had significantly better outcomes on measures of adaptive communication, social skills, and executive functioning with Cohen's d effect sizes ranging from 0.31 to 0.45. Conclusion: These findings support the preliminary efficacy of CSI, a classroom-based, teacher-implemented intervention for improving active engagement, adaptive communication, social skills, executive functioning, and problem behavior within a heterogeneous sample of students with ASD. This makes a significant contribution to the literature by demonstrating efficacy of a classroom-based teacher-implemented intervention with a heterogeneous group of students with ASD using both observed and reported measures.

Background and Aims: Children with autism spectrum disorder (ASD) exhibit a heterogeneous clinical phenotype with wide variability in their language and intellectual profiles that complicates efforts at early detection. There is limited research examining observational measures to characterize differences between young children with and without ASD and co-occurring language delay (LD) and global developmental delay (GDD). The first aim of this study was to compare early social communication measured in the second year of life in children diagnosed at age 3 with ASD, developmental delays (DD), and typical development (TD). The second aim was to compare More early social communication in six subgroups of children: ASD, ASD+LD, ASD+GDD, LD, GDD, and TD. Our third aim was to determine the collective and unique contributions of early social communication to predict verbal and nonverbal developmental outcomes at three years of age for children with and without ASD. Methods: Analyses of covariance controlling for maternal education were employed to examine group differences in social communication in 431 toddlers recruited through screening in primary care. Multiple linear regression analyses were conducted to evaluate associations between the Communication and Symbolic Behavior Scales (CSBS) Behavior Sample composite standard scores and Mullen Scales of Early Learning T scores for children with and without ASD. Results: Distinct patterns of early social communication were evident by 20 months. Children with TD differed significantly from children with ASD and DD on all three CSBS Behavior Sample composites. Children with ASD had significantly lower scores than those with DD and TD on the social and symbolic composites. Among the six subgroups, all three composites of the CSBS Behavior Sample differentiated children with TD from all other subgroups. Children with ASD+GDD scored significantly lower than all other subgroups on social and symbolic composites. Patterns of social communication emerged for children with and without ASD, which held among subgroups divided by developmental level. The CSBS Behavior Sample social and symbolic composites contributed unique variance in predicting developmental outcomes in both groups. The speech composite contributed unique variance to expressive language, receptive language, and visual reception in children without ASD, and contributed uniquely to expressive language only for children with ASD. Conclusions: The CSBS Behavior Sample, an observational measure for children aged 12–24 months, detected social communication delays and explained a significant amount of variance in verbal and nonverbal outcomes a year later in this large sample of young children grouped by ASD diagnosis and developmental level. Implications: In light of the continued search for early predictors of ASD and developmental delay, our findings underscore the importance of monitoring early social communication skills, including the expression of emotions, eye gaze, gestures, rate of communication, joint attention, understanding words, and object use in play. There is a need for clinical utility of screening and evaluation tools that can detect social communication delays in very young children. This would enable intervention for infants and toddlers who show social communication delays which may be early signs for ASD or other DD, rather than waiting to confirm a formal diagnosis.

Purpose: This study investigated whether measures of early social communication vary among young children of diverse racial/ethnic status with and without autism spectrum disorder (ASD). Method: Participants were 364 toddlers between ages 18 and 36 months with a diagnosis of ASD confirmed (n = 195) or ruled out (n = 169), from 3 racial/ethnic categories: non-Hispanic White (n = 226), non-Hispanic Black (n = 74), and Hispanic (n = 64). Group differences in social communication were examined using an observational measure—the Communication and Symbolic Behavior Scales Behavior Sample (CSBS-BS; Wetherby & Prizant, 2002)—and a parent-report More measure, the Early Screening for Autism and Communication Disorders (Wetherby, Woods, & Lord, 2007). Results: Controlling for maternal education, children with ASD scored significantly lower on the CSBS-BS than children without, indicating poorer social communication skills, and higher on the Early Screening for Autism and Communication Disorders, indicating more ASD features. Racial/ethnic groups did not differ on 6 CSBS-BS clusters, but Non-Hispanic White toddlers scored significantly higher than both other groups on the Understanding cluster. There were no significant Diagnosis × Race/Ethnicity interactions. Conclusion: These findings indicate good agreement between observed and parent-report measures in this sample. Results suggest that the CSBS-BS and Early Screening for Autism and Communication Disorders could be viable tools in the detection process for toddlers with ASD in these racial/ethnic groups.

The purpose of this study was to examine the utility of the Systematic Observation of Red Flags as an observational level-two screening measure to detect risk for autism spectrum disorder in toddlers when used with a video-recorded administration of the Communication and Symbolic Behavior Scales. Psychometric properties of the Systematic Observation of Red Flags were examined in a sample of 247 toddlers of 16- to 24 months old: 130 with autism spectrum disorder, 61 with developmental delays, and 56 typically developing. Individual items were examined for performance to create an algorithm with improved sensitivity and specificity, yielding a total Composite score More and Domain scores for Social Communication and Restricted Repetitive Behaviors. Codes indicating clear symptom presence were collapsed to yield a count of the number of Red Flags for the overall scale and each symptom domain. Results indicated significant group differences with large effects for the Composite, both Domain scores, and Red Flags score, and good discrimination (area under the curve = 0.84–0.87) between autism spectrum disorder and nonspectrum groups for the Composite, Social Communication Domain, and Social Communication Red Flags score. The Systematic Observation of Red Flags provides an observational screening measure for 16- to 24-month-olds with good discrimination, sensitivity, and specificity. A cutoff of 20 on the Composite is recommended to optimally detect autism spectrum disorder risk.

Culturally appropriate tools are needed for detecting symptoms of autism spectrum disorder in young South African children. The objectives of this study were to (1) adapt and translate into isiZulu existing measures for detecting early signs of autism spectrum disorder, (2) use the measures to characterize and compare behavioural profiles of young isiZulu-speaking children with and without autism spectrum disorder and (3) compare symptom profiles across sampling procedures. Measures were translated and adapted into isiZulu and used to evaluate 26 isiZulu-speaking children, 15 children with no reported developmental concerns and 11 referred for More suspected autism spectrum disorder. A video-recorded observation of children and caregivers in their home environment was also made. Based on best-estimate diagnoses, 10 children were classified as autism spectrum disorder and 16 as non-autism spectrum disorder. The children with autism spectrum disorder presented with significantly more autism spectrum disorder red flags than the non-autism spectrum disorder group according to parent report and systematic ratings of red flags. Significant correlations between parent report and observational measures of red flags were observed. More red flags were observed during structured evaluations than home observations in the autism spectrum disorder group. Findings provide a foundation for tool translation and adaptation in South Africa and identifying social communication markers to detect autism spectrum disorder in young isiZulu-speaking children.

Earlier autism diagnosis, the importance of early intervention, and development of specific interventions for young children have contributed to the emergence of similar, empirically supported, autism interventions that represent the merging of applied behavioral and developmental sciences. "Naturalistic Developmental Behavioral Interventions (NDBIs)" are implemented in natural settings, involve shared control between child and therapist, utilize natural contingencies, and use a variety of behavioral strategies to teach developmentally appropriate and prerequisite skills. We describe the development of NDBIs, their theoretical bases, empirical support, requisite characteristics, common features, and suggest future More research needs. We wish to bring parsimony to a field that includes interventions with different names but common features thus improving understanding and choice-making among families, service providers and referring agencies.

The burdens faced by military families who have a child with autism are unique. The usual challenges of securing diagnostic, treatment, and educational services are compounded by life circumstances that include the anxieties of war, frequent relocation and separation, and a demand structure that emphasizes mission readiness and service. Recently established military autism-specific health care benefits set the stage for community-viable and cost-effective solutions that can achieve better outcomes for children and greater well-being for families. Here we argue for implementation of evidence-based solutions focused on reducing age of diagnosis and improving access to More early intervention, as well as establishment of a tiered menu of services, individualized to the child and family, that fit with the military ethos and system of health care. Absence of this new model of care could compromise the utility and sustainability of the autism-specific benefit.

Despite consistent and substantive research documenting a large male to female ratio in autism spectrum disorder (ASD), only a modest body of research exists examining sex differences in characteristics. This study examined sex differences in developmental functioning and early social communication in children with ASD as compared to children with typical development. Sex differences in adaptive behavior and autism symptoms were also examined in children with ASD. Participants (n = 511) were recruited from the Florida State University FIRST WORDS® Project and University of Michigan Autism and Communication Disorders Center. Analyses did not reveal More significant effects of sex or a diagnostic group by sex interaction, suggesting a similar phenotype in males and females early in development. Further research is needed to examine sex differences across development.

Objectives: To compare the effects of two 9-month parent-implemented interventions within the Early Social Interaction (ESI) Project. Both individual-ESI, offered 2 or 3 times per week at home or in the community, and group-ESI, offered once per week in a clinic, taught parents how to embed strategies to support social communication throughout everyday activities. Methods: Participants in the randomized controlled trial included 82 children diagnosed with autism spectrum disorder at 16 to 20 months. Children were matched on pretreatment nonverbal developmental level and pairs were randomly assigned to treatment condition. Child outcomes included measures of More social communication, autism symptoms, adaptive behavior, and developmental level. Child outcomes are reported from baseline to the end of the 9-month interventions. Results: Children in individual-ESI showed differential change on a standardized examiner-administered observational measure of social communication, as they improved at a faster rate than children in group-ESI. Individual-ESI also showed differential efficacy on a parent report measure of communication, daily living, and social skills, as they showed improvement or stability, whereas group-ESI led to worsening or no significant change on these skills. Finally, individual-ESI showed differential change on examiner-administered measures of receptive language skills, as children in individual-ESI improved significantly, whereas group-ESI showed no change. Conclusions: These findings support the efficacy of individual-ESI compared with group-ESI on child outcomes, suggesting the importance of individualized parent coaching in natural environments. The efficacy of a parent-implemented intervention using little professional time has potential for community viability, which is particularly important in light of the lack of main effects on child outcomes of most other parent-implemented interventions.

Objectives: To compare 2 short-term, community caregiver training interventions for preschool-aged children with autism spectrum disorder who had low resources. Low resource was defined by the US Department of Housing and Urban Development low-income index or 1 "indicator," (e.g., Medicaid eligibility). Child outcomes focused on joint engagement, joint attention, and play. Methods: Participants included 112 families of a child who had autism spectrum disorder who met criteria for being low-resourced and who were randomly assigned to 1 of 2 3-month interventions, group caregiver education or individualized caregiver-mediated More intervention (CMM). Children were assessed for social communication skills pre- and post-treatment and followed up at 3 months. Results: All children improved in joint engagement and initiating joint attention, with significantly greater improvement by the CMM group. Outcomes on play skills were mixed, with improvement of symbolic play for the CMM group and no change in functional play skills. Joint engagement maintained over time for the CMM group, and initiating joint attention maintained for both groups over time. Conclusions: This study is among the first randomized trials comparing 2 active interventions with a large sample of low-resourced families. Results suggest improvements in core autism deficits of joint engagement, joint attention, and symbolic play with relatively brief, caregiver-mediated interventions, but additional support is necessary to maintain and generalize these gains over time.

This prospective study of the FIRST WORDS® Project examined restricted and repetitive behaviors in a sample of 55 toddlers at a mean age of 20 months who were later diagnosed with autism spectrum disorder. Restricted and repetitive behaviors were coded using the Repetitive Movement and Restricted Interest Scales in two video-recorded observation methods-structured sampling procedures in a clinic and naturalistic everyday activities at home. Measures of restricted and repetitive behaviors were higher in the clinic setting than in the home observation, especially for behaviors involving object use. Repetitive movements with objects in the clinic predicted nonverbal More developmental scores and Autism Diagnostic Observation Schedule social affect scores at later follow-up. In contrast, repetitive movements with objects at home significantly predicted later Autism Diagnostic Observation Schedule restricted and repetitive behaviors scores. These results support the utility of the Repetitive Movement and Restricted Interest Scales to detect restricted and repetitive behaviors in toddlers and suggest that observations of restricted and repetitive behaviors in clinic and home settings may provide unique and important diagnostic information for improving early detection of autism spectrum disorder.

Social (pragmatic) communication disorder (SCD) is a new diagnostic category in the Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5). The purpose of this review is to describe and synthesize the relevant literature from language and autism spectrum disorder (ASD) research relating to pragmatic language impairment and other previously used terms that relate to SCD. The long-standing debate regarding how social communication/pragmatic impairments overlap and/or differ from language impairments, ASD, and other neurodevelopmental disorders More is examined. The possible impact of the addition of SCD diagnostic category and directions for future research are also discussed.

Objective: The present study examined the factor structure of autism symptoms in toddlers, to aid understanding of the phenotype during the developmental period that represents the earliest manifestations of autism symptoms. This endeavor is particularly timely, given changes in symptom structure from the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) to the recently released Fifth Edition (DSM-5). Method: Factor structure was examined in a sample of toddlers between 12 and 30 months of age (mean = 20.37 months, SD = 3.32 months) diagnosed with autism spectrum disorder (ASD) and recruited from community settings or More referred for evaluation (N = 237). Confirmatory factor analyses were conducted comparing the relative fit of 4 distinct, previously proposed and validated models: DSM-5, DSM-IV, 1-factor, and an alternative 3-factor model proposed by van Lang et al. Results: Findings revealed that the 1-factor model provided the poorest fit, followed by the DSM-IV model and the van Lang et al. model. The DSM-5 model provided the best fit to the data relative to other models and good absolute fit. Indicators for the confirmatory factor analyses, drawn from the Autism Diagnostic Observation Schedule-Toddler Module (ADOS-T), loaded strongly onto the DSM-5 Social Communication and Social Interaction factor and more variably onto the DSM-5 Restricted/Repetitive Language and Behavior factor. Conclusions: Results indicate that autism symptoms in toddlers, as measured by the ADOS-T, are separable and best deconstructed into the 2-factor DSM-5 structure, supporting the reorganization of symptoms in the DSM-5. Consistency of the present results in toddlers with previous studies in older children and adults suggests that the structure of autism symptoms may be similar throughout development.

Background: Although a diagnosis of autism spectrum disorder (ASD) appears to be stable in children as young as age three, few studies have explored stability of a diagnosis in younger children. Predictive value of diagnostic tools for toddlers and patterns of symptom change are important considerations for clinicians making early diagnoses. Most findings come from high-risk samples, but reports on children screened in community settings are also needed. Methods: Stability of diagnosis and Autism Diagnostic Observation Schedule – Toddler Module (ADOS-T) classifications and scores was examined across two time points in a sample of 82 children identified through More the FIRST WORDS Project. Children received two comprehensive diagnostic evaluations at average ages of 19.39 (SD = 2.12) and 36.89 (SD = 3.85) months. Results: Stability was 100% when confirming and ruling out a diagnosis of ASD based on a comprehensive diagnostic evaluation that included clinic and home observations, although diagnosis was initially deferred for 17% of the sample. Receiver Operating Characteristic curves revealed excellent sensitivity and acceptable specificity for the ADOS-T compared to concurrent diagnosis. Logistic regressions indicated good predictive value of initial ADOS-T scores for follow-up diagnosis. Finally, both ASD and Non-ASD children demonstrated a decrease in Social Affect scores (i.e., improvement), whereas children with ASD demonstrated an increase in Restricted and Repetitive Behavior scores (i.e., worsening), changes that were accounted for by nonverbal developmental level in mixed model analyses. Conclusions: Short-term stability was documented for children diagnosed at 19 months on average, although a minority of children initially showed unclear diagnostic presentations. Findings highlight utility of the ADOS-T in making early diagnoses and predicting follow-up diagnoses. Children with ASD demonstrated improvement in social communication behaviors and unfolding of repetitive behaviors, suggesting that certain early patterns of change in symptoms may be characteristic of ASD.

Purpose: In this study, the authors aimed to examine the vocalizations of children with autism spectrum disorder (ASD) in the second year of life and their relationship to other areas of development. Method: Vocalizations were examined in 125 children between ages 18 and 24 months: 50 later diagnosed with ASD, 25 with developmental delays (DD) in which ASD was ruled out, and 50 with typical development (TD). Precise measures of vocalizations were obtained through coding of video-recorded behavior samples from the Communication and Symbolic Behavior Scales Developmental Profile (Wetherby & Prizant, 2002b). Results: The ASD group used a significantly lower proportion of vocalizations with speech sounds More and a significantly higher proportion of atypical vocalizations than children with TD. The ASD group used a significantly higher proportion of distress vocalizations than the TD and DD groups. For the ASD group, the frequency of vocalizations with speech sounds correlated significantly with developmental levels both concurrently and predictively. In the ASD group, communicative vocalizations late in the second year were found to uniquely predict expressive language outcome at age 3 years above noncommunicative vocalizations. Conclusions: Further examination of distress vocalizations as a potential early indicator of ASD is recommended. In addition, the importance of early communicative vocalizations for later language development is highlighted.

Little research has been conducted on behavioral characteristics of children with ASD from diverse cultures within the US or from countries outside of the US or Europe, with little reliable information yet reported from developing countries. We describe the process used to engage diverse communities in ASD research in two community-based research projects—an epidemiological investigation of 7–12 year olds in South Korea and the Early Autism Project, an ASD detection program for 18–36 month old Zulu-speaking children in South Africa. Despite the differences in wealth between these communities, ASD is under-diagnosed in both settings, generally not reported in More clinical or educational records. Moreover, in both countries there is low availability of services. In both cases, local knowledge helped researchers to address both ethnographic as well as practical problems. Researchers identified the ways in which these communities generate and negotiate the cultural meanings of developmental disorders. Researchers incorporated that knowledge as they engaged communities in a research protocol, adapted and translated screening and diagnostic tools, and developed methods for screening, evaluating, and diagnosing children with ASD.

Purpose: To examine the communicative profiles of children with autism spectrum disorders (ASD) in the second year of life. Method: Communicative acts were examined in 125 children 18 to 24 months of age: 50 later diagnosed with ASD; 25 with developmental delays (DD); and 50 with typical development (TD). Precise measures of rate, functions, and means of communication were obtained through systematic observation of videotaped behavior samples from the Communication and Symbolic Behavior Scales Developmental Profile (A. Wetherby & B. Prizant, 2002). Results: Children with ASD communicated at a significantly lower rate than children with DD and TD. The ASD group used a More significantly lower proportion of acts for joint attention and a significantly lower proportion of deictic gestures with a reliance on more primitive gestures compared with the DD and TD groups. Children with ASD who did communicate for joint attention were as likely as other children to coordinate vocalizations, eye gaze, and gestures. Rate of communicative acts and joint attention were the strongest predictors of verbal outcome at age 3. Conclusion: By 18 to 24 months of age, children later diagnosed with ASD showed a unique profile of communication, with core deficits in communication rate, joint attention, and communicative gestures.

Purpose: The aims of this article are twofold: (a) to offer a set of recommended measures that can be used for evaluating the efficacy of interventions that target spoken language acquisition as part of treatment research studies or for use in applied settings and (b) to propose and define a common terminology for describing levels of spoken language ability in the expressive modality and to set benchmarks for determining a child's language level in order to establish a framework for comparing outcomes across intervention studies. Method: The National Institute on Deafness and Other Communication Disorders assembled a group of researchers with interests More and experience in the study of language development and disorders in young children with autism spectrum disorders. The group worked for 18 months through a series of conference calls and correspondence, culminating in a meeting held in December 2007 to achieve consensus on these aims. Results: The authors recommend moving away from using the term functional speech, replacing it with a developmental framework. Rather, they recommend multiple sources of information to define language phases, including natural language samples, parent report, and standardized measures. They also provide guidelines and objective criteria for defining children's spoken language expression in three major phases that correspond to developmental levels between 12 and 48 months of age.

There is an urgent requirement for the improvement of early detection of ASDs. This article provides a brief review of research on the accuracy of screeners for children with ASD that have been administered to general pediatric samples and then present results of a population-based study with a broadband screener to detect children with More communication delays including children with ASD.

This study examined repetitive and stereotyped behaviors (RSB) in children with autism spectrum disorders (ASD, n = 50), developmental delays without ASD (DD; n = 25) and typical development (TD, n = 50) between 18 and 24 months of age. Children with ASD demonstrated significantly higher frequency and longer duration of RSB with objects, body, and sensory behaviors during a systematic behavior sample than both the DD and TD groups. RSB with objects were related to concurrent measures of symbolic capacity and social competence in the second year and predicted developmental outcomes as well as severity of autism symptoms at 3 years in children with More communication delays. RSB in the second year appear to be important for early identification and prediction of developmental outcomes.

Objectives: The purpose of this study was to examine group differences and relationships with later developmental level and autism symptoms using a new clinical tool developed to measure repetitive and stereotyped movements (RSM) in young children. Method: Videotaped behavior samples using the Communication and Symbolic Behavior Scales Developmental Profile (CSBS; Wetherby & Prizant, 2002) were coded for children with autism spectrum disorders (ASD; n = 50), developmental delays without ASD (DD; n = 25), and typical development (TD; n = 50) between 18 and 24 months of age. Results: Children with ASD demonstrated significantly higher rate and More larger inventory of RSM with objects and body during a systematic behavior sample than both the DD and TD groups. Measures of RSM were related to concurrent measures of social communication and predicted developmental outcomes and autism symptoms in the fourth year for the ASD group. None of the correlations between RSM and autism symptoms remained significant when controlling for CSBS Symbolic level. RSM with objects predicted unique variance in the severity of autism symptoms in the fourth year beyond that predicted by social communication measures alone. Conclusions: This study provides support for the diagnostic significance of RSM in children under 24 months of age and documents the utility of this RSM measurement tool as a companion to the CSBS.

This study examined social communication profiles from behavior samples videotaped between 18 and 24 months of age in three groups of children: 50 with autism spectrum disorders (ASD), 23 with developmental delays (DD), and 50 with typical development (TD). The ASD group scored significantly lower than the DD group on 5 social communication measures and the TD group on all 14 measures, indicating distinct profiles late in the second year. Understanding was the strongest predictor of developmental level and behavior regulation, and inventory of gestures were the strongest predictors of autism symptoms at 3 years of age. The predictive relations suggest More five pivotal skills late in the second year that have a cascading effect on outcomes of children with ASD.

This study examined social communication profiles from behavior samples videotaped between 18 and 24 months of age in three groups of children: 50 with autism spectrum disorders (ASD), 23 with developmental delays (DD), and 50 with typical development (TD). The ASD group scored significantly lower than the DD group on 5 social communication measures and the TD group on all 14 measures, indicating distinct profiles late in the second year. Understanding was the strongest predictor of developmental level and behavior regulation, and inventory of gestures were the strongest predictors of autism symptoms at 3 years of age. The predictive relations suggest More five pivotal skills late in the second year that have a cascading effect on outcomes of children with ASD.

Purpose: The purpose of this study was to examine the predictive validity of a collection of prelinguistic skills measured longitudinally in the 2nd year of life to language outcome in the 3rd year in children with typical language development. Method: A collection of prelinguistic skills was assessed in 160 children early (M = 14.31 months; SD = 1.36) and late (M = 19.76 months; SD = 1.16) in their 2nd year by using the Communication and Symbolic Behavior Scales Developmental Profile Behavior Sample (A. Wetherby & B. Prizant, 2002). The relation between the prelinguistic skills and the receptive and expressive language near the 3rd birthday was examined. Results: Significant correlations were observed between many prelinguistic skills More and language outcome. Regression analyses indicated that comprehension both early and late contributed unique variance to receptive and expressive language outcome. In addition, early in the 2nd year, inventory of conventional gestures contributed uniquely to receptive language outcome, and acts for joint attention contributed uniquely to expressive outcome. Late in the 2nd year, inventory of consonants contributed uniquely to expressive outcome. Conclusions: The findings demonstrate continuity between prelinguistic and linguistic skills and how individual differences in a number of prelinguistic skills contribute collectively and uniquely to language outcome in typically developing children.

Three groups of 18 children were selected for this study, one group with autism spectrum disorders (ASD), one group with developmental delays in which ASD was ruled out (DD), and one group with typical development (TD), from a pool of 3026 children who were screened with the Communication and Symbolic Behavior Scales Developmental Profile (CSBS DP, Wetherby & Prizant. 2002) Infant-Toddler Checklist under 24 months of age. The CSBS DP Behavior Sample was videotaped on selected children as a second-level evaluation during the second year of life. The Infant-Toddler Checklist had a sensitivity and specificity of 88.9% for this sample More of children. Significant group differences were found on the Infant-Toddler Checklist and the Behavior Sample; however, these differences did not distinguish children with ASD and DD with high accuracy. The videotapes of the Behavior Sample were reanalyzed to identify red flags of ASD. Nine red flags differentiated children in the ASD group from both the DD and TD groups and four red flags differentiated children in the ASD Group from the TD group but not the DD group. These 13 red flags were found to discriminate the three groups with a correct classification rate of 94.4%.

Three studies were conducted to evaluate the validity and reliability of the three measures of the Communication and Symbolic Behavior Scales Developmental Profile (CSBS DP): (1) a one-page parent-report checklist; (2) a four-page follow-up caregiver questionnaire (CQ); and (3) a behavior sample (BS), which is a face-to-face evaluation of the child. Participants for these studies were drawn from a pool of 603 children for the checklist and CQ (ages 6-24 months) and 364 children for the BS (ages 12-24 months). Study 1 examined the concurrent relationship of standard scores for the checklist, CQ, and BS. Large correlations were found between the checklist and CQ and moderate to More large correlations were found between each of the parent report tools and the BS. Study 2 examined test-retest stability by comparing the raw and standard scores over a 4-month retest interval. The results indicated significantly greater retest raw scores but no significant differences between standard scores from test to retest for the checklist, CQ and BS, providing evidence that the three measures detect growth over short periods but produce relatively stable rankings of children. Study 3 examined the concurrent and predictive relationship of the three CSBS DP measures and children's outcomes on standardized tests of receptive and expressive language at 2 years of age. Moderate to large correlations were found between all of the CSBS DP measures and language outcomes at 2 years of age. Multiple regression analyses indicated that the three composites were a significant predictor of receptive and expressive language outcomes. The findings from these three studies support the use of the CSBS DP as a screening and evaluation tool for identifying children with developmental delays at 12 to 24 months of age.