Efficacy of Interventions Based on Applied Behavior Analysis for Autism Spectrum Disorder: A Meta-Analysis

Family-Centric Applied Behavior Analysis Promotes Sustained Treatment Utilization and Attainment of Patient Goals

BACKGROUND/OBJECTIVES

 Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by social communication difficulties and restricted repetitive behaviors or interests. Applied behavior analysis (ABA) has been shown to significantly improve outcomes for individuals on the autism spectrum. However, challenges regarding access, cost, and provider shortages remain obstacles to treatment delivery. To this end, parents were trained as parent behavior technicians (pBTs), improving access to ABA, and empowering parents to provide ABA treatment in their own homes. We hypothesized that patients diagnosed with severe ASD would achieve the largest gains in overall success rates toward skill acquisition in comparison to patients diagnosed with mild or moderate ASD. Our secondary hypothesis was that patients with comprehensive treatment plans (>25-40 hours/week) would show greater gains in skill acquisition than those with focused treatment plans (less than or equal to 25 hours/week).  Methods: This longitudinal, retrospective chart review evaluated data from 243 patients aged two to 18 years who received at least three months of ABA within our pBT treatment delivery model. Patients were stratified by utilization of prescribed ABA treatment, age, ASD severity (per the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition), and treatment plan type (comprehensive vs. focused). Patient outcomes were assessed by examining success rates in acquiring skills, both overall and in specific focus areas (communication, emotional regulation, executive functioning, and social skills).

RESULTS

Patients receiving treatment within the pBT model demonstrated significant progress in skill acquisition both overall and within specific focus areas, regardless of cohort stratification. Patients with severe ASD showed greater overall skill acquisition gains than those with mild or moderate ASD. In addition, patients with comprehensive treatment plans showed significantly greater gains than those with focused treatment plans.

CONCLUSION

The pBT model achieved both sustained levels of high treatment utilization and progress toward patient goals. Patients showed significant gains in success rates of skill acquisition both overall and in specific focus areas, regardless of their level of treatment utilization. This study reveals that our pBT model of ABA treatment delivery leads to consistent improvements in communication, emotional regulation, executive functioning, and social skills across patients on the autism spectrum, particularly for those with more severe symptoms and those following comprehensive treatment plans.

A Non-parametric Analysis of Gender Differences With the Impacts of Applied Behavior Analysis on Autistic Individuals

Introduction Considering the scarcity of research that directly investigates the differences between genders in their response to applied behavior analysis (ABA) therapy for individuals diagnosed with autism spectrum disorder (ASD), the objective of this study is twofold. First, it aims to reinforce the male-to-female ratio reported in existing scientific literature, thereby contributing to a broader understanding of gender distribution in ABA therapy for ASD. Second, it seeks to identify gender-based differences in aggregate target behaviors at various time intervals using three distinct datasets. The goal is to determine if gender influences the effectiveness of ABA therapy for ASD, which could inform future therapeutic strategies. Ultimately, this study strives to enhance our understanding of gender disparities in ABA therapy response among ASD individuals and hopes to improve therapeutic outcomes for all, regardless of gender. Materials and methods Three to five behavioral technicians per child collected daily general target mastery data for 263 individuals with autism. This data was gathered using a large N design through retrospective chart reviews within the "Catalyst" tracking software (DataFinch Technologies, Atlanta, USA). Three separate datasets were collected from June 7, 2023 to January 7, 2024. Behavior analysts employed a mixed model of discrete trial training, mass trials, and naturalistic environment treatment over seven months. General target mastery data was assembled for 259 children and four adults, with seven data instances missing. Descriptive statistics encompassed central tendency and dispersion measures, including the data distribution's mean, standard deviation, median, and range. Non-parametric inferential analysis was performed with the Mann-Whitney U test. Results Mann-Whitney U computations resulted in non-significant gender differences on all gender comparisons for the three datasets covering the seven-month timeframe. Dataset #1: Time 1-(U=727.5, p=0.846, ή2=0.0002, Time 2-(U=736, p=0.910, ή2=0.00005), Time 3-(U=687.5, p=0.569, ή2=0.001) Dataset #2: Time 1-(U=781, p=0.383, ή2=0.003), Time 2-(U=819.5, p=0.585, ή2=0.001), Time 3-(U=825, p=0.618, ή2=0.001) Dataset #3: Time 1-(U=395, p=0.198, ή2=0.007), Time 2-(U=373.5, p=0.365, ή2 =0.003), Time 3-(U=363, p=0.471, ή2=0.002), Time 4-(U=366.5, p=0.436, ή2 =0.003), Time 5-(U=371, p=0.391, ή2=0.003), Time 6-(U=394, p=0.208, ή2=0.007), Time 7-(U=373, p=0.373, ή2=0.003), Time 8-(U=371.5, p=0.387, ή2=0.003), Time 9-(U=464.5, p=0.512, ή2=0.002), Time 10-(U=356.5, p=0.546, ή2=0.002), Time 11-(U=357.5, p=0.535, ή2=0.002), Time 12-(U=350.5, p=0.346, ή2=0.004) Conclusions This study suggests no significant gender differences in response to ABA therapy among individuals with autism, indicating its potential effectiveness for both genders. However, these findings should be interpreted cautiously due to statistical uncertainties reflected in the broad confidence intervals as they hint at possible substantial gender differences. Further research, including an extension study, must confirm these results and understand potential gender nuances in ABA therapy response. This could help tailor more effective, personalized therapeutic strategies for individuals with autism.

Comparative Effects of Applied Behavior Analysis on Male and Female Individuals With Autism Spectrum Disorder

Introduction Current evidence-based treatments for autism spectrum disorder (ASD) are based on applied behavior analysis (ABA). However, research on gender differences in ABA therapy response is limited. This study seeks to (1) confirm the 4:1 male-to-female ratio reported in the literature and (2) identify any possible gender differences in target behaviors over seven timepoints measured every two weeks. Materials and methods  For three months, from March 19, 2023, to June 11, 2023, a team of 3-5 behavioral technicians per individual collected daily data on general target mastery for 100 individuals with ASD treated with ABA. Data was collected at seven timepoints every two weeks. Descriptive demographics were computed. Two independent sample t-tests were performed to determine significant or nonsignificant gender differences with the seven timepoint variables.  Results Nonstatistically significant gender differences (p > .05) were found on all seven cumulative target behavior timepoints measured at two-week intervals. For targets mastered Time 1, baseline between males and females, there was no significant difference in the means for males (M = 1.0571, SD = 1.9196) and females (M = 2.0455, SD = 3.9457) (t(90) = -1.591, p = 0.115, confidence interval (CI) = -2.2223, 0.2456, d = -0.389). For targets mastered Time 2, two weeks between males and females, there was no significant difference in the means for males (M = 3.7132; SD = 4.5065) and females (M = 4.0682, SD = 5.1508) (t(88) = -0.310, p = 0.757, CI = -2.6305, 1.92056, d = -0.076). For targets mastered Time 3, four weeks between males and females, there was no significant difference in the means for males (M = 7.0956; SD = 8.7781) and females (M = 8.6136; SD = 11.2799) (t(88) = -0.656, p = 0.514, CI = -6.1173, 3.0811, d = -0.161). For targets mastered Time 4, six weeks between males and females, there was no significant difference in the means for males (M = 13.1728, SD = 16.2003) and females (M = 13.0682, SD = 16.9272) (t(88) = 0.026, p = 0.979, CI = -7.8779, 8.0871, d = 0.006). For targets mastered Time 5, eight weeks between males and females, there was no significant difference in the means for males (M = 17.2096; SD = 18.8546) and females (M = 17.4286, SD = 22.1683) (t(87) = -0.045, p = 0.965, CI = -9.9773, 9.5393, d = -0.011). For targets mastered Time 6, 10 weeks between males and females, there was no significant difference in the means for males (M = 21.0074, SD = 21.3329) and females (M = 20.6818, SD = 26.1231) (t(88) = 0.059, p = 0.953, CI = -10.6752, 11.3262, d = 0.014). For targets mastered Time 7, 12 weeks between males and females, there was no significant difference in the means for males (M = 26.1196, SD = 24.2235) and females (M = 29.6364, SD = 33.7406) (t(89) = -0.536, p = 0.593, CI = -16.5431, 9.5094, d = -0.131). Conclusions The study indicates that ABA treatments may be equally beneficial for both genders with ASD, showing no significant gender differences. However, the broad CIs in this study imply a level of statistical uncertainty, indicating potential gender differences, suggesting the results may not be uniform across genders. These findings challenge assumptions on gender-specific treatment responses, implying that ABA treatments shouldn't be recommended based on gender. Instead, individual needs should guide treatment recommendations. Future research could consider other response moderators like age, ASD severity, or coexisting mental health conditions.

An Internal Consistency Reliability Study of the Catalyst Datafinch Applied Behavior Analysis Data Collection Application With Autistic Individuals

Introduction Many psychometric studies have scrutinized the dependability of different instruments for evaluating and treating autism using applied behavior analysis (ABA). However, there has been no exploration into the psychometric attributes of the Catalyst Datafinch Applied Behavior Analysis Data Collection Application, namely, internal consistency reliability measures. Materials and methods  Four datasets were extracted (n=100, 98, 103, and 62) from published studies at The Oxford Center, Brighton, MI, ranging from March 19, 2023, through January 8, 2024, using Catalyst Datafinch as the data collection tool. All data were gathered by Board Certified Behavior Analysts (BCBAs) and behavioral technicians and designed to replicate how practitioners collect traditional paper and pencil data. SPSS Statistics (v. 29.0) computed internal consistency reliability measures, including Cronbach's alpha, inter-item, split-half, and interclass correlation coefficients. Results  Dataset #1: Cronbach's alpha was 0.916 with seven items, indicating excellent reliability. Cronbach's split-half reliability for Part 1 was 0.777, indicating good reliability, and for Part 2 was 0.972, indicating excellent reliability. Guttman split-half coefficient was 0.817, indicating good reliability. Inter-item correlation coefficients ranged from 0.474 to 0.970. The average measures interclass correlation (ICC) was 0.916, indicating excellent reliability. Single measures (ICC) reliability was 0.609, indicating acceptable reliability. Dataset #2: Cronbach's alpha was 0.954 with three items, indicating excellent reliability. Cronbach's split-half reliability for Part 1 was 0.912, indicating excellent reliability, and for Part 2 was 0.975, indicating excellent reliability. Guttman split-half coefficient was 0.917, indicating excellent reliability. Inter-item correlation coefficients ranged from 0.827 to 0.977. Average measures (ICC) was 0.954, indicating excellent reliability. Single measures (ICC) reliability was 0.875, indicating good reliability. Dataset #3: Cronbach's alpha was 0.974 with three items, indicating excellent reliability. Cronbach's split-half reliability for Part 1 was 0.978, indicating excellent reliability. Split-half reliability for Part 2 was 0.970, indicating excellent reliability. Guttman split-half coefficient was 0.935, indicating excellent reliability. Inter-item correlation coefficients ranged from 0.931 to 0.972. The average measures (ICC) was 0.974, indicating excellent reliability. Single measures (ICC) reliability was 0.926, indicating excellent reliability. Dataset #4: Cronbach's alpha was 0.980 with 12 items, indicating excellent reliability. Cronbach's split-half reliability for Part 1 was 0.973, indicating excellent reliability. Split-half reliability for Part 2 was 0.996, indicating excellent reliability. Guttman split-half coefficient was 0.838, indicating good reliability. Inter-item correlation coefficients ranged from 0.692 to 0.999. The average measures (ICC) was 0.980, indicating excellent reliability. Single measures (ICC) reliability was 0.804, indicating good reliability. Conclusions These results suggest that Catalyst Datafinch demonstrates high internal consistency reliability when used with individuals with autism. This indicates that the application is reliable for collecting and analyzing behavioral data in this population. The ratings ranged from good to excellent, indicating a high consistency in the measurements.

Naturalistic Developmental Behavioral Interventions for Developmental Language Disorder

PURPOSE

Naturalistic-developmental-behavioral interventions (NDBIs) are a widely accepted and validated approach for treating language-related symptoms in autism spectrum disorder, including deficits in vocabulary, social skills, and grammar. The purpose of this article is to define the elements naturalistic, developmental, and behavioral as applied to children with developmental language disorder (DLD) and to provide an example of how this type of intervention can be implemented to teach vocabulary and test cross-modal generalization between expressive and receptive modalities.

METHOD

A vocabulary intervention using hybrid NDBI methods (storybook reading and conversational recast interaction) was provided to three participants with DLD using a single-case design.

RESULTS

The results indicated that all participants successfully learned receptive and expressive vocabulary targets with extensive cross-modal generalization. However, generalization was limited in some of the participants.

CONCLUSIONS

This article provided definitions of key elements of NDBI (naturalistic, developmental, and behavioral) including a rationale for extending NDBI procedures to language intervention for children with DLD. In addition, a single-case design demonstrated that NDBI can be implemented in DLD and that broadly defined naturalistic-developmental applied behavior analysis techniques are applicable to language interventions for children with language disorders. Moreover, diverse naturalistic and developmental procedures meet the highest standards for evidence-based practice to treat DLD.

Replicative Study of the Impacts of Applied Behavior Analysis on Target Behaviors in Individuals With Autism Using Repeated Measures

Background  The effectiveness of interventions based on applied behavior analysis (ABA) for individuals with autism has been well documented in numerous meta-analyses, systematic reviews, and cost-benefit analyses. However, an observed 'efficacy-effectiveness gap' exists, which can be attributed to various factors. This third replication study, therefore, has significant implications for the field. By assessing the impact of ABA treatment, specifically involving discrete trial training and mass trials, within a naturalistic environment, the study provides valuable insights that can inform and improve the delivery of ABA treatments in real-world settings. Methods  The study was conducted using a repeated measures research design. Retrospective chart review data were collected from 62 individuals with autism, age (M=8.65, SD=4.53), all of whom were level two autistic and required moderate support in communication, socialization, and daily life. These individuals received ABA treatment over five months. The study measured cumulative target behaviors using a repeated measures design, which allowed for the identification of statistically significant differences across 12 time points. This robust methodology ensures the validity and reliability of the study's findings. Results  Mixed repeated measures analysis of variance (ANOVA) indicated statistical significance (sphericity assumed), F(11,495) = 55.432, p < 0.001 (time). Multiple comparisons using bootstrapped paired t-tests showed p < 0.05 on time points 1-8 and non-significance (p > 0.05) on time points 9-12. There was a significant interaction effect (sphericity assumed) with time x (age category), F(44,495) = 2.338, p < 0.001. Interaction contrasts indicated statistically significant differences over time, mainly within the one-year to four-year-old, five to eight-year-old, and most in the nine to 12-year-old age groups. There was some significance within the 13- to 16-year-old age group and no significance within the 17- to 26-year-old age group. Conclusions  Over five months, individuals with autism who underwent ABA treatments demonstrated a statistically significant enhancement in general target behaviors. This finding is crucial as it underscores the effectiveness of ABA treatments in a naturalistic environment. Moreover, the study's discovery of a significant interaction between time and age in these behaviors provides valuable insights into the impact of age on treatment outcomes. Extensive large-N studies of general ABA broad effectiveness and repeated measures designs are lacking and can lead to further research to improve quality and outcomes. These findings contribute to the body of empirical evidence and emphasize the importance of replicative efficacy studies in ensuring the reliability of research findings.

Evaluation of the effectiveness of behavioral interventions for autism spectrum disorders: A systematic review of randomized controlled trials and quasi-experimental studies

The objective of this research was to assess the efficacy of behavioral therapy interventions in the treatment of autism spectrum disorders (ASD). The study utilized the PubMed and Embase databases to locate randomized controlled trials, quasi-experimental treatment studies, and randomized clinical trial comparisons. The experimental group received treatment based on an applied behavioral approach, such as PECS, DTT, PRT, TEACCH, ESDM, and EIBI. After examining seventeen studies, the researchers found that each type of behavioral intervention had a positive impact. Naturalistic protocols that employed PRT and PECS improved ASD symptoms in general, despite their targeting of particular cognitive domains such as language. ESDM enhanced receptive language, particularly in preschool-aged children. Structured and integrated interventions, like EIBI and TEACCH, improved overall adaptive functioning. Combining DTT with a TEACCH program produced greater benefits in linguistic, affective-social, and personal autonomy domains. However, there is a scarcity of high-quality research available on behavioral interventions for ASD. Further comparative studies are necessary to identify cost-efficient interventions. For example, PRT and PECS significantly improved social communication skills in only 15-40 hours over six months. The authors emphasized the need for continued research and the application of evidence-based interventions in specialized settings.

Biological principles for music and mental health

Efforts to integrate music into healthcare systems and wellness practices are accelerating but the biological foundations supporting these initiatives remain underappreciated. As a result, music-based interventions are often sidelined in medicine. Here, I bring together advances in music research from neuroscience, psychology, and psychiatry to bridge music's specific foundations in human biology with its specific therapeutic applications. The framework I propose organizes the neurophysiological effects of music around four core elements of human musicality: tonality, rhythm, reward, and sociality. For each, I review key concepts, biological bases, and evidence of clinical benefits. Within this framework, I outline a strategy to increase music's impact on health based on standardizing treatments and their alignment with individual differences in responsivity to these musical elements. I propose that an integrated biological understanding of human musicality-describing each element's functional origins, development, phylogeny, and neural bases-is critical to advancing rational applications of music in mental health and wellness.

Protocol for a randomized clinical trial comparing the efficacy of Structured Diet (SD) and Regular Therapy (RT) for adolescents with malnutrition having Autism Spectrum Disorder (ASD)

BACKGROUND

Autism spectrum disorders (ASD) have a lifelong impact on behavior, communication, cognitive function, education, physical functioning, and personal, or social life. Separate studies suggest, Therapeutic and dietary interventions are effective to some extent in managing these issues. No study integrated the nutrition and therapeutic approaches and examined the outcome on disease severity, overall health, and behavioral status in ASD. The proposed study is designed to evaluate the combined effect of regular therapy (RT) and structured diet (SD) compared to the usual diet (UD) for Adolescents with ASD.

METHODS

The proposed study will be a randomized clinical trial (RCT) with the assessor, therapist, and participants blinded to group allocation. Seventy ASD children with malnutrition will be enrolled in two different facilities of the Centre for the Rehabilitation of the Paralysed (CRP) between January 2023 and June 2023. Participants will be enrolled through a hospital-based randomization process from a population-based screening dataset, and with a concealed group allocation to either RT+ SD or RT+ UD group with a 1:1 ratio. The outcome measures are the Childhood Autism Rating Scale as per DSM-5 to determine the severity of ASD, Mid-upper arm circumference (MUAC), and BMI for nutritional status, and Gilliam Autism Rating Scale (GARS-2) to assess the behavioral status. Post-test will be performed after 12 weeks of intervention, and Follow-up will be taken after 6 months of post-test.

PERSPECTIVES

The result of the study will contribute to the provision of a comprehensive approach to malnourished Adolescents with ASD, and manage the issues related to the severity of ASD, stereotypical behavior, and anticipated health hazards.

CLINICAL TRIAL IDENTIFIER

CTRI/2022/11/047653.

Effects of Parent-Implemented Interventions on Outcomes of Children with Autism: A Meta-Analysis

Children with autism spectrum disorder (ASD) have been shown to benefit from parent-implemented interventions (PIIs). This meta-analysis improved on prior reviews of PIIs by evaluating RCTs and multiple potential moderators, including indicators of research quality. Fifty-one effect sizes averaged moderately strong overall benefits of PIIs (g = 0.553), with studies having lower risk of research bias yielding lower estimates (g = 0.47). Parent and observer ratings yielded similar averaged estimates for positive behavior/social skills (g = 0.603), language/communication (g = 0.545), maladaptive behavior (g = 0.519), and to a lesser extent, adaptive behavior/life skills (g = 0.239). No other study, intervention, or participant characteristic moderated outcomes. PIIs with children with ASD tend to be effective across a variety of circumstances.

Autism in Africa: prevalence, diagnosis, treatment and the impact of social and cultural factors on families and caregivers: a review

This paper presents a narrative review of current knowledge on autism in Africa, including prevalence, diagnosis, treatment and the impact of social and cultural factors on families and caregivers. The prevalence of autism in Africa is estimated to be similar to that in other regions. However, diagnosis and treatment access remain limited due to various challenges, such as a shortage of specialised healthcare professionals and resources, a lack of awareness and understanding of autism spectrum disorder (ASD) among healthcare providers, and cultural stigma surrounding mental health and developmental disorders. Alternative therapies are commonly used with other therapies, but their effectiveness is often unproven. The impact of ASD on families and caregivers in Africa is significant, with many facing challenges in accessing support services and coping with stigma. Efforts are being made to increase awareness and reduce the stigma around ASD in African communities, but more research is needed on effective interventions and culturally appropriate treatments. Policy recommendations include increasing resources and training for healthcare professionals, improving access to evidence-based interventions and promoting community awareness and support. With improved understanding and investment, the quality of life of individuals with ASD in Africa can be significantly improved.

Clinical Outcomes of a Hybrid Model Approach to Applied Behavioral Analysis Treatment

Objective This study examines the implementation of a hybrid applied behavioral analysis (ABA) treatment model to determine its impact on autism spectrum disorder (ASD) patient outcomes.  Methods Retrospective data were collected for 25 pediatric patients to measure progress before and after the implementation of a hybrid ABA treatment model under which therapists consistently captured session notes electronically regarding goals and patient progress. ABA treatment was streamlined for consistent delivery, with improved software utilization for tracking scheduling and progress. Eleven goals within three domains (behavioral, social, and communication) were examined.  Results After the implementation of the hybrid model, the goal success rate improved by 9.7% compared to the baseline; 41.8% of goals showed improvement, 38.4% showed a flat trend, and 19.8% showed deterioration. Multiple goals trended upwards in 76% of the patients.  Conclusion This pilot study demonstrated that enhancing the consistency with which ABA treatment is monitored/delivered can improve patient outcomes as seen through improved attainment of goals.

Acupuncture for children with autism spectrum disorder: A systematic review and meta-analysis

BACKGROUND

The aim of this study was to assess the efficiency and safety of acupuncture in core symptomatic improvement of children with autism spectrum disorder (ASD).

METHODS

We searched the following databases: Cochrane Library, PubMed, Embase, Medline, China National Knowledge Infrastructure (CNKI), Wanfang, Chinese Science and Technology Periodical (VIP) and Chinese Biological Medicine (CBM), from 1 January 2012 to 25 September 2022. The Autism Behavior Checklist (ABC), Childhood Autism Rating Scale (CARS), and Autism Treatment Evaluation Checklist (ATEC) were adopted as outcome indicators. Three reviewers independently assessed the risk of bias (ROB) and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE)assessment. Utilizing Review Manager (RevMan) 5.3 and Stata 12.0, data were analyzed.

RESULTS

A total of 38 trials were included, and 2862 participants participated in qualitative synthesis and meta-analysis. Only 1 trial was assessed as having a low ROB, and 37 trials were assessed as having an overall high ROB. The quality of evidence for most indicators were considered very low by the GRADE criteria. The results showed that acupuncture groups might have a higher clinical effective rate than nonacupuncture groups (relative risk [RR] = 1.33,95% confidence interval [CI] = 1.25-1.41; heterogeneity: x2=18.15, P = .64, I2 = 0%). Regarding changes in ABC scores, the acupuncture groups might exhibit greater decrease than nonacupuncture groups (MMD = -6.06, 95%CI = -7.25 to -4.87, P < .00001; heterogeneity: x2 =73.37, P = .03, I2 = 77%). In terms of changes in CARS score, acupuncture group may benefit more than nonacupuncture group (MMD = -3.93, 95%CI = 4.90 to -2.95, P < .00001; heterogeneity: x2=234.47, P < .00001, I2 = 90%). Additionally, in terms of ATEC score, acupuncture groups showed more benefit than nonacupuncture groups (MMD = -10.24, 95%CI = -13.09 to -7.38, P < .00001; heterogeneity: x2=45.74, P = .04, I2 = 85%). Both subgroup analysis and sensitivity analysis are existing heterogeneity. Only 1 RCT study involved adverse events with mild symptoms that did not interfere with treatment and evaluation.

CONCLUSION

Children with ASD may benefit from acupuncture because of its effectiveness and safety. Nevertheless, given the low quality of the evidence for the assessed outcomes and the high ROB of analyzed trials, the results should be regarded with caution.

Systematic Review and Meta-analysis: Efficacy of Pharmacological Interventions for Irritability and Emotional Dysregulation in Autism Spectrum Disorder and Predictors of Response

OBJECTIVE

Emotional dysregulation and irritability are common in individuals with autism spectrum disorder (ASD). We conducted the first meta-analysis assessing the efficacy of a broad range of pharmacological interventions for emotional dysregulation and irritability in ASD and predictors of response.

METHOD

Following a preregistered protocol (PROSPERO: CRD42021235779), we systematically searched multiple databases until January 1, 2021. We included placebo-controlled randomized controlled trials (RCTs) and evaluated the efficacy of pharmacological interventions and predictors of response for emotional dysregulation and irritability. We assessed heterogeneity using Q statistics and publication bias. We conducted subanalyses and meta-regressions to identify predictors of response. The primary effect size was the standardized mean difference. Quality of studies was assessed using the Cochrane Risk of Bias Tool (RoB2).

RESULTS

A total of 2,856 individuals with ASD in 45 studies were included, among which 26.7% of RCTs had a high risk of bias. Compared to placebo, antipsychotics (standardized mean difference = 1.028, 95% CI = 0.824-1.232) and medications used to treat attention-deficit/hyperactivity disorder (ADHD) (0.471, 0.061-0.881) were significantly better than placebo in improving emotional dysregulation and irritability, whereas evidence of efficacy was not found for other drug classes (p > .05). Within individual medications, evidence of efficacy was found for aripiprazole (1.179, 0.838-1.520) and risperidone (1.074, 0.818-1.331). Increased rates of comorbid epilepsy (β = -0.049, p = .026) were associated with a lower efficacy.

CONCLUSION

Some pharmacological interventions (particularly risperidone and aripiprazole) have proved efficacy for short-term treatment of emotional dysregulation and irritability in ASD and should be considered within a multimodal treatment plan, taking into account also the tolerability profile and families' preferences.

The BEHAVE application as a tool to monitor inclusive interventions for subjects with neurodevelopmental disorders

In the last few years, many educational and therapeutic interventions for young people with neurodevelopmental disorders are based on systematic monitoring of the outcomes. These interventions are typically conducted using single-case experimental designs, (SCEDs) a set of methods aimed at testing the effect of an intervention on a single subject or a small number of subjects. In SCEDs, an effective process of decision-making needs accurate, precise, and reliable data but also that caregivers and health professionals can gather information with minimal effort. The use of Information Communication Technologies in SCEDs can support the process of data collection and analysis, facilitating the collection of accurate and reliable data, providing reports accessible also by non-experts, and promoting interactions and sharing among clinicians, educators, and caregivers. The present paper introduces the BEHAVE application, a web-based highly customizable application, designed to implement SCEDs, supporting both data collection and automatic analysis of the datasets. Moreover, the paper will describe two case studies of kindergarten children with neurodevelopmental disorders, highlighting how the BEHAVE application supported the entire process, from data collection in multiple contexts to decision-making based on the analysis provided by the system. In particular, the paper describes the case studies of Carlo and Dario, two children with severe language and communication impairments, and the inclusive education interventions carried out to maximize their participation in a typical home and school setting increasing their mand repertoire. Results revealed an increase in the mand repertoire in both children who become able to generalize the outcomes to multiple life contexts. The active participation of the caregivers played a crucial role in the ability of children to use the learned skills in settings different from the ones they were learned in.

Social media interventions for autistic individuals: Systematic review

Background

Research on the use of digital technologies for delivering behavioral interventions has shown mixed evidence on their efficacy for improving both autistic symptoms and co-occurring psychiatric disorders. Little knowledge exists on the specific use or efficacy of using social media in interventions aimed at autistic individuals.

Objective

To review and describe the current existing evidence-based research on the use of social media in interventions aimed at autistic individuals.

Methods

A search was conducted across 8 databases (PubMed; EMBASE; Cochrane Library; PsycInfo; ERIC; Education Source; Web of Science; and IEEE Xplore). We included primary studies and reviews that dealt with autism spectrum disorder (ASD); described interventions that use social media; and reported results from the intervention. The quality of the evidence of the included primary studies was graded according to the GRADE criteria, and the risk of bias in systematic reviews was assessed by drawing on the AMSTAR guidelines. Results were synthesized and sorted by quality of evidence.

Results

A total of nine articles were included in this review: eight primary studies (five non-randomized interventions and three randomized interventions) and one systematic review. The total number of participants with an ASD-diagnosis in the included studies was 164 (aged 5 to 22 years old). Studies weighted as being of moderate quality of evidence have reported significant positive effects in the groups that received the social media interventions: increased social engagement and participation in life situations; increased physical activity level; increased improvement on occupational performance, specified goals, and behavioral problems; and decreased plaque scores coupled with parent reports of intervention success. None of the studies have reported any negative effects linked to social media interventions.

Conclusion

There is very little evidence of good quality on the use of social media in interventions aimed at autistic individuals. While there is a need for more high-quality studies, all the included studies, with one exception found positive results of the interventions. These findings are encouraging, suggesting that social media-based interventions may in fact be useful for supporting behavioral changes in autistic individuals.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=337185, identifier CRD42022337185.

Addressing the Need for Training More School Psychologists to Serve Toddlers and Preschoolers with Autism Spectrum Disorders

The prevalence of autism spectrum disorder (ASD) has risen significantly in the past two decades. Unfortunately, there is a shortage of mental health providers who have specialized training in delivering evidenced-based services to this population. Early intensive behavioral intervention (EIBI) is an evidenced-based treatment recommended for toddlers with ASD, and school psychologists are uniquely positioned to help children with ASD receive it. However, many school psychologists do not receive adequate training in this subspecialty. This paper makes recommendations to school psychology training programs about how to add or improve training in this subspecialty based on the results of an Office of Special Education Programs grant-funded ASD training program which involved collaboration between a NASP-approved and APA-accredited school psychology training program and a community-based early intensive behavioral intervention (EIBI) clinic. The grant supported development of an interdisciplinary didactic and clinical training program to increase the ASD knowledge, skills, and competencies of school psychology graduate students, with the broader goals of developing a replicable training model and increasing the workforce of trained providers for this underserved population. Fifteen graduate students completed the training program. Outcomes related to trainee knowledge, skills, and competencies, trainee satisfaction, and lessons learned over time analyzed within a logic model that guided the project's development and execution can be informative for other school psychology programs undertaking training in this subspecialty.

The Efficacy of Early Interventions for Children with Autism Spectrum Disorders: A Systematic Review and Meta-Analysis

The superiority of early interventions for children with autism spectrum disorders (ASDs) compared to treatment as usual (TAU) has recently been questioned. This study was aimed to investigate the efficacy of early interventions in improving the cognitive ability, language, and adaptive behavior of pre-school children with ASDs through a systematic review of randomized controlled trials (RCTs). In total, 33 RCTs were included in the meta-analysis using the random effects model. The total sample consisted of 2581 children (age range: 12–132 months). Early interventions led to positive outcomes for cognitive ability (g = 0.32; 95% CI: 0.05, 0.58; p = 0.02), daily living skills (g = 0.35; 95% CI: 0.08, 0.63; p = 0.01), and motor skills (g = 0.39; 95% CI: 0.16, 0.62; p = 0.001), while no positive outcomes were found for the remaining variables. However, when studies without the blinding of outcome assessment were excluded, positive outcomes of early interventions only remained for daily living skills (g = 0.28; 95% CI: 0.04, 0.52; p = 0.02) and motor skills (g = 0.40; 95% CI: 0.11, 0.69; p = 0.007). Although early intervention might not have positive impacts on children with ASDs for several outcomes compared to controls, these results should be interpreted with caution considering the great variability in participant and intervention characteristics.

The application of adapted dialectical behaviour therapy concepts and skills in the treatment of adults with autistic spectrum disorder who display challenging or offending behaviours

Purpose

Despite some advances in the assessment and treatment of autism spectrum disorder (ASD), there remains a paucity of intervention and research literature in treating adults with ASD. There is growing evidence supporting a relationship between the core features of ASD and emotion dysregulation. There is an overlap between ASD and borderline personality disorder (BPD) characteristics such as emotional dysregulation, sensory issues and social skills deficits. This paper aims to explore the applications of dialectical behaviour therapy (DBT) concepts and skills in treating ASD individuals who display challenging or offending behaviours. The similarities in characteristics between ASD and BPD and the core issue of emotion dysregulation hold promise in the utility of DBT with ASD.

Design/methodology/approach

This is a conceptual paper that includes a case vignette.

Findings

A DBT-informed treatment approach using the adaptations and reconceptualization, i.e. risky mind–wise mind outlined in this paper, can be considered promising in addressing issues for ASD individuals, particularly those with challenging and/or offending behaviours. DBT incorporates different elements of applied behaviour analysis, cognitive behavioural therapy, mindfulness skills, sensory-based treatments, psychosocial interventions and emotion regulation skills, which makes it a more cohesive and integrated approach to treatment. The authors assert that DBT can be considered a more integrated, strengths-based, habilitative and trauma-informed approach which can be promising in its application to address challenging behaviours or offending in ASD individuals.

Research limitations/implications

It is recommended that research be carried out to evaluate the effectiveness of adapted DBT programs in treating ASD individuals presenting with challenging and/or offending behaviours. Future research can focus on evaluating the effectiveness of the different DBT concepts and skills and the different DBT modules to determine which components of the program are particularly useful for this client group.

Practical implications

Treatment manuals have already been developed for clients with intellectual disability and developmental disabilities who exhibit challenging and/or offending behaviour; hence, it is recommended that modifications be made to make it more applicable and appropriate for ASD individuals. Modifications should address ASD-specific issues (e.g. black and white thinking, cognitive rigidity, sensory issues, impaired theory of mind, emotion dysregulation issues, social skills deficits and anxiety issues). The use of DBT has much wider implications regarding addressing comorbid mental health conditions and personality issues in this client group.

Originality/value

There are limited psychological interventions that prove to be useful for individuals with ASD with complex presentations and challenging or offending behaviours. This paper discusses the application of adapted DBT concepts and skills that appear to be promising in the treatment of this client group.

Applied Behavior Analysis as Treatment for Autism Spectrum Disorders: Topic Modeling and Linguistic Analysis of Reddit Posts

Background: It is critical for professionals to understand the discourse landscape within various online and social media outlets in order to support families of children with autism in treatment decision-making. This need is heightened when considering treatments that have garnered excitement and controversy, such as applied behavioral analysis (ABA) therapy.

Method: The specific aims of this study were to identify the main themes in Reddit posts about ABA-based interventions for autism using topic modeling, to examine the linguistic aspects of Reddit conversations using the Linguistic Inquiry and Word Count (LIWC) analysis, and to examine the relationship between linguistic aspects and user category (i.e., pro- vs. anti-ABA vs. undecided, parent vs. professional vs. an individual with autism).

Results: The topic modeling resulted in 11 themes that ranged across various elements, such as autism as a condition and its management, stakeholders, and consequences of autism and the support needed. The posts of individuals were focused on personal experiences and opinions as opposed to clinical and research information sharing. Linguistic analysis indicated that the posts reveal an intimate stance rather than an empirical stance.

Conclusions: Results provide insight into perspectives of ABA. This type of research may help in developing and distributing appropriate and evidence-based information.

Patient Outcomes After Applied Behavior Analysis for Autism Spectrum Disorder

OBJECTIVES

The purpose of this study was to examine patterns of service receipt and patient outcomes for children receiving applied behavior analysis (ABA) for autism spectrum disorder (ASD) in an integrated health care system in which commercially insured children were covered by a state autism mandate.

METHODS

This retrospective, observational study used a random sample of children with ASD (3-17 yrs) who were members of a large integrated health care system in Southern California and referred for ABA between January 2016 and November 2018. From the 4145 children referred, a random stratified sample of 334 was selected to extract data from clinical reports over 24 months of services. The primary outcome measures were time in ABA and child adaptive behavior.

RESULTS

Thirteen percent of the sample never received ABA after referral. Of those who were referred for ABA, 66% initiated ABA and remained in services for 12 months, whereas less than half (46%) remained in services for 24 months. Having a history of special education was associated with longer time spent in ABA, whereas having a single parent was associated with discontinuation of ABA. A minority of children received a full ABA dose (28%), but the lowest functioning children still experienced clinically significant adaptive behavior gains after 24 months of ABA (p = 0.02).

CONCLUSION

In a health system implementation of ABA for children with ASD, there were high rates of ABA discontinuation and low ABA dosing. These challenges may diminish the potential benefits of ABA, even in a context in which there is mandated commercial insurance coverage.

Effect of probiotics combined with applied behavior analysis in the treatment of children with autism spectrum disorder: a prospective randomized controlled trial

OBJECTIVES

To study the effect of probiotics combined with applied behavior analysis (ABA) in the treatment of children with autism spectrum disorder (ASD).

METHODS

A total of 41 children with ASD who attended the Affiliated Hospital of Jiangsu University from May 2019 to December 2020 were enrolled and randomly divided into an observation group with 21 children and a control group with 20 children. The children in the observation group were given oral probiotics combined with ABA intervention, while those in the control group were given ABA intervention alone. The treatment outcomes were compared between the two groups. Autism Treatment Evaluation Checklist (ATEC) was used to evaluate the severity of behavioral symptoms in both groups before intervention and at 3 months after intervention. The fecal samples were collected to analyze the difference in intestinal flora between the two groups based on 16s rRNA high-throughput sequencing.

RESULTS

Before intervention, there was no significant difference in the ATEC score between the observation and control groups (P>0.05). At 3 months after intervention, both groups had a significant reduction in the ATEC score, and the observation group had a significantly lower ATEC score than the control group (P<0.05). Before intervention, there was no significant difference in the composition of intestinal flora between the observation and control groups. At 3 months after intervention, there was a significant difference in the composition of intestinal flora between the observation and control groups. Compared with the control group, the observation group had significantly higher relative abundances of Bifidobacterium, Lactobacillus, Coprobacillus, Ruminococcus, Prevotella, and Blautia (P<0.05) and significantly lower relative abundances of Shigella and Clostridium (P<0.05).

CONCLUSIONS

Probiotics may improve the effect of conventional ABA intervention in children with ASD by regulating intestinal flora.

Genetic variation in the oxytocin system and its link to social motivation in human infants

Frontal brain asymmetry has been linked to motivational processes in infants and adults, with left lateralization reflecting motivation to approach and right lateralization reflecting motivation to withdraw. We examined the hypothesis that variability in infants' social motivation may be linked to genetic variation in the oxytocin system. Eleven-month-old infants' brain responses and looking preferences to smiling and frowning individuals were assessed in conjunction with a polymorphism in CD38 (rs3796863) linked to autism spectrum disorder (ASD) and reduced oxytocin. Frontal brain asymmetry and looking preferences differed as a function of CD38 genotype. While non-risk A-allele carriers displayed left lateralization to smiling faces (approach) and a heightened looking preference for the individual who smiled, infants with the CC (ASD risk) genotype displayed withdrawal from smiling faces and a preference for the individual who frowned. Findings demonstrate that the oxytocin system is linked to brain and behavioral markers of social motivation in infancy.

Efficacy and acceptability of pharmacological, psychosocial, and brain stimulation interventions in children and adolescents with mental disorders: an umbrella review

Top-tier evidence on the safety/tolerability of 80 medications in children/adolescents with mental disorders has recently been reviewed in this jour-nal. To guide clinical practice, such data must be combined with evidence on efficacy and acceptability. Besides medications, psychosocial inter-ventions and brain stimulation techniques are treatment options for children/adolescents with mental disorders. For this umbrella review, we systematically searched network meta-analyses (NMAs) and meta-analyses (MAs) of randomized controlled trials (RCTs) evaluating 48 medications, 20 psychosocial interventions, and four brain stimulation techniques in children/adolescents with 52 different mental disorders or groups of mental disorders, reporting on 20 different efficacy/acceptability outcomes. Co-primary outcomes were disease-specific symptom reduction and all-cause discontinuation ("acceptability"). We included 14 NMAs and 90 MAs, reporting on 15 mental disorders or groups of mental disorders. Overall, 21 medications outperformed placebo regarding the co-primary outcomes, and three psychosocial interventions did so (while seven outperformed waiting list/no treatment). Based on the meta-analytic evidence, the most convincing efficacy profile emerged for amphetamines, methylphenidate and, to a smaller extent, behavioral therapy in attention-deficit/hyperactivity disorder; aripiprazole, risperidone and several psychosocial interventions in autism; risperidone and behavioral interventions in disruptive behavior disorders; several antipsychotics in schizophrenia spectrum disorders; fluoxetine, the combination of fluoxetine and cognitive behavioral therapy (CBT), and interpersonal therapy in depression; aripiprazole in mania; fluoxetine and group CBT in anxiety disorders; fluoxetine/selective serotonin reuptake inhibitors, CBT, and behavioral therapy with exposure and response prevention in obsessive-compulsive disorder; CBT in post-traumatic stress disorder; imipramine and alarm behavioral intervention in enuresis; behavioral therapy in encopresis; and family therapy in anorexia nervosa. Results from this umbrella review of interventions for mental disorders in children/adolescents provide evidence-based information for clinical decision making.

The Potential Role of miRNAs as Predictive Biomarkers in Neurodevelopmental Disorders

Neurodevelopmental disorders are defined as a set of abnormal brain developmental conditions marked by the early childhood onset of cognitive, behavioral, and functional deficits leading to memory and learning problems, emotional instability, and impulsivity. Autism spectrum disorder, attention-deficit/hyperactivity disorder, Tourette syndrome, fragile X syndrome, and Down's syndrome are a few known examples of neurodevelopmental disorders. Although they are relatively common in both developed and developing countries, very little is currently known about their underlying molecular mechanisms. Both genetic and environmental factors are known to increase the risk of neurodevelopmental disorders. Current diagnostic and screening tests for neurodevelopmental disorders are not reliable; hence, individuals with neurodevelopmental disorders are often diagnosed in the later stages. This negatively affects their prognosis and quality of life, prompting the need for a better diagnostic biomarker. Recent studies on microRNAs and their altered regulation in diseases have shed some light on the possible role they could play in the development of the central nervous system. This review attempts to elucidate our current understanding of the role that microRNAs play in neurodevelopmental disorders with the hope of utilizing them as potential biomarkers in the future.

Overview of a Life Skills Coaching Program for Adults on the Autism Spectrum: Coaches' Perspectives

There is considerable need to identify effective service provision models to support adults on the autism spectrum as they seek to lead independent lives. This study outlines an individualized life skills coaching program for adults with autism, "LifeMAP", and the experiences and perspectives of the coaches. Responses on a tailored questionnaire provided detailed insight into how the coaches were performing their job, the strategies they utilized, reasons for client success and difficulty, challenges faced by the coaches, and ways they were supported by program staff. Coaches' job self-efficacy and satisfaction were also examined. This study serves as a preliminary examination of individualized coaching for adults with autism from the coaches' perspective.

A meta-analysis of the effect of the Early Start Denver Model in children with autism spectrum disorder

Objectives: To examine and analyse the intervention effects of the Early Start Denver Model (ESDM) on children with autism spectrum disorder (ASD). Methods: This meta-analysis evaluated the effect sizes in four major domains of measurement (autism symptoms, language, cognition, and social communication). A total of 624 participants with ASD were included in 11 high-quality randomized controlled trial studies. Results: The results indicated that the ESDM intervention resulted in significant improvement with moderate effect sizes in the cognition (g = 0.28), autism symptoms (g = 0.27), and language (g = 0.29) domains. The effect sizes of autism symptoms and language were moderated by country (Western versus Asian countries). However, there were no significant effects observed for the social communication domain. Conclusion: The ESDM intervention significantly improved autism symptoms, language, and cognition. The effect sizes of autism symptoms and language were larger in Asian countries than in Western countries.

Tele-Assisted Behavioral Intervention for Families with Children with Autism Spectrum Disorders: A Randomized Control Trial

Background: Telehealth is useful for both autism spectrum disorder (ASD) diagnosis and treatment, but studies with a direct comparison between teletherapy and traditional in-person therapy are limited. Methods: This randomized control trial—ISRCTN (International Standard Randomised Controlled Trial Number) primary clinical trial registry ID ISRCTN15312724—was aimed at comparing the effect of a tele-assisted and in-person intervention based on a behavioral intervention protocol for families with children affected by ASDs. Forty-two parents with children with autism (30 months to 10 years old) were randomly assigned to 12 sessions of an applied behavioral analysis (ABA) intervention implemented in an individual and group setting, either with or without the inclusion of tele-assistance. Pre- and postintervention assessments were conducted using the Home Situation Questionnaire (HSQ-ASD) and the Parental Stress Index (PSI/SF). Results: Substantial improvements in the perception and management of children’s behavior by parents, as well as in the influence of a reduction in parent stress levels on said children’s behavior through the use of a tele-assisted intervention, were obtained. Conclusions: This randomized controlled trial demonstrates the evidence-based potential for telehealth to improve treatment of ASDs.