Independent living in adults with autism spectrum disorder: Stakeholders' perspectives and experiences

How to build resiliency in autistic individuals: an implication to advance mental health

INTRODUCTION

Individuals on the autism spectrum (ASD) often experience poor mental health and coping strategies compared to their peers due to social exclusion and co-occurring conditions. Resiliency has been identified as a key factor in preventing adverse outcomes and promoting mental health. Therefore, it is important to determine what strategies can be used to build resiliency among autistic individuals. The current paper is one of the first studies that aims to collect information from autistic individuals and their caregivers on potential strategies to enhance resiliency.

METHODS

We interviewed 18 participants from various provinces in Canada, comprising of 13 autistic individuals and 5 parents. We used thematic analysis to identify patterns in the data.

RESULTS

Thematic analysis revealed three themes to indicate strategies that could be used to enhance resiliency, including: (a) self-reliant strategies, (b) using community-based facilities, and (c) contextual and individual characteristics.

CONCLUSION

Although the body of literature on resiliency is evolving, this paper provides a unique perspective as it is one of the few studies that considers the experiences of individuals on the spectrum. In addition, this study focuses on identifying and describing specific strategies that can be used to enhance resiliency and mental health, which consequently can help address the existing gaps in knowledge and practice.

Correlations of Physical and Psychological Health in Parents of Individuals With Autism Spectrum Disorder

BACKGROUND

Individuals with autism spectrum disorder (ASD) have social communication difficulties and restricted, repetitive, and/or sensory behaviors or interests. The prevalence of ASD is now 1 in 36 individuals. Parents of individuals with ASD face challenges that can affect their physical and psychological well-being.

OBJECTIVE

With the long-term goal to tailor an exercise program, the purpose of this study was 2-fold: (1) establish the baseline physical and mental health of parents of individuals with ASD and (2) estimate the relationship of physiologic variables with psychological variables of health for parents of individuals with ASD.

METHODS

This descriptive, cross-sectional study (N = 44) explored physical health measures and the correlation between physical and psychological health, using measures of anxiety, stress, parenting depression, and positive thinking for parents who care for individuals with ASD.

RESULTS

The common characteristics that these parents shared was high body fat and low physical activity. Body fat was negatively correlated to total step count (r = -0.428, P < .05), grip strength (r = -0.319, P < .5), and total distance walked in the week (r = -0.661, P < .01), and positively correlated to 5-times sit to stand (r = 0.337, P < .05). Low activity correlated to increased parenting stress of advocating for child's needs (r = -0.310, P = .043).

CONCLUSIONS

Understanding relationships between physical and psychological health informs effective interventions and support systems for parents. Parents need supports to be able to prioritize exercise. Future studies should include a larger sample to verify these effects.

Developing a Chatbot to Support Individuals With Neurodevelopmental Disorders: Tutorial

Families of individuals with neurodevelopmental disabilities or differences (NDDs) often struggle to find reliable health information on the web. NDDs encompass various conditions affecting up to 14% of children in high-income countries, and most individuals present with complex phenotypes and related conditions. It is challenging for their families to develop literacy solely by searching information on the internet. While in-person coaching can enhance care, it is only available to a minority of those with NDDs. Chatbots, or computer programs that simulate conversation, have emerged in the commercial sector as useful tools for answering questions, but their use in health care remains limited. To address this challenge, the researchers developed a chatbot named CAMI (Coaching Assistant for Medical/Health Information) that can provide information about trusted resources covering core knowledge and services relevant to families of individuals with NDDs. The chatbot was developed, in collaboration with individuals with lived experience, to provide information about trusted resources covering core knowledge and services that may be of interest. The developers used the Django framework (Django Software Foundation) for the development and used a knowledge graph to depict the key entities in NDDs and their relationships to allow the chatbot to suggest web resources that may be related to the user queries. To identify NDD domain-specific entities from user input, a combination of standard sources (the Unified Medical Language System) and other entities were used which were identified by health professionals as well as collaborators. Although most entities were identified in the text, some were not captured in the system and therefore went undetected. Nonetheless, the chatbot was able to provide resources addressing most user queries related to NDDs. The researchers found that enriching the vocabulary with synonyms and lay language terms for specific subdomains enhanced entity detection. By using a data set of numerous individuals with NDDs, the researchers developed a knowledge graph that established meaningful connections between entities, allowing the chatbot to present related symptoms, diagnoses, and resources. To the researchers' knowledge, CAMI is the first chatbot to provide resources related to NDDs. Our work highlighted the importance of engaging end users to supplement standard generic ontologies to named entities for language recognition. It also demonstrates that complex medical and health-related information can be integrated using knowledge graphs and leveraging existing large datasets. This has multiple implications: generalizability to other health domains as well as reducing the need for experts and optimizing their input while keeping health care professionals in the loop. The researchers' work also shows how health and computer science domains need to collaborate to achieve the granularity needed to make chatbots truly useful and impactful.

Aging Well and Autism: A Narrative Review and Recommendations for Future Research

With autism first recognized in the 1940s, the early cohorts of autistic children are beginning to enter older adulthood. Little is known about the experiences and outcomes of autistic older adults. In the general population, "successful aging" is a dominant model among gerontologists and is used to evaluate outcomes in older adulthood. This narrative review aims to provide a framework for understanding and supporting successful aging in older autistic adults. Using Fernández-Ballesteros' four-domain model of "aging well" we review knowledge on aging and autism by examining outcomes in health and functioning, cognitive and physical functioning, positive affect and control, and social participation and engagement. Findings indicate that outcomes in autistic older adults are generally poor, marked by increased medical conditions, low adaptive skills, elevated risk of cognitive decline, limited physical activity, high rates of mental health conditions, low quality of life, and reduced social or community participation. Patterns of challenges are similar across cognitive abilities and profiles of autistic traits. Challenges and next steps in aging and autism research are identified, and future directions for the field are discussed.

The Ethics of Actually Helping People: Targeting Skill Acquisition Goals That Promote Meaningful Outcomes for Individuals with Autism Spectrum Disorder

As a field that predominately supports individuals with autism spectrum disorder (ASD), we have an ethical duty as behavior analysts to ensure that the goals we write and interventions we prescribe promote best outcomes across the lifespan. This is critical, given that as it stands now, outcomes in adulthood for individuals with ASD are poor in every area assessed. The Ethics Code for Behavior Analysts can be interpreted to provide support for teaching the right goals, the right way, with respect to inherent rights of those we serve, in order to help affect positive changes in these outcomes. The present article highlights ethical themes that are relevant in order to affect these changes that are supported by the Code, as well as actionable steps to take next. The aim is to provide a resource for practitioners to use in clinical practice and in making ethical decisions that will help to improve outcomes for individuals with autism in adulthood. In addition, recommendations are made about integrating these values and approaches in terms of training, supervision, advocacy, and research.

De-implementation of Low-Value Practices for Autism Spectrum Disorder

Due to a variety of factors, Autism Spectrum Disorder (ASD) has long been tethered to use of low-value practice (LVP), arguably moreso than any other psychiatric or neurodevelopmental condition. Although dissemination of empirically supported treatments (EST) for autistic individuals has expanded markedly over the past decade, there has not been concomitant reduction in the use of LVP. It is critical that clinicians and scientists not only promote the implementation of EST, but also facilitate the de-implementation (abandonment and/or divestment) of ineffective or harmful practices. In this review, we describe a data-driven approach that can be used to identify LVP, drawing from established criteria for identification of evidence-based treatments (e.g., APA Division 12, National Clearinghouse on Autism Evidence and Practice; SAMHSA), as well as broader considerations such as social validity, cost, and parsimony. Herein, a data-based approach to LVP identification is proposed with a goal of improving quality of service access. Within an implementation science framework, we identify specific facilitators that sustain LVP use, and recommendations for subsequent de-implementation strategies are offered.

Autistic People and Moving Home: A Systematic Review

Background

While many studies have examined where and with whom autistic people live, very few have looked at autistic people's experience of moving home. Choosing where to live, and being able to move residence, could be important for autonomy, and we therefore undertook a systematic review to identify studies about autistic adults' experience of moving home.

Methods

We entered search terms relevant to autism and moving home into six databases and Google Scholar. After screening the titles and abstracts, we identified a final set of articles and screened the full text. We then checked the reference lists for potentially relevant articles; then, we conducted a search for articles that cited our final set of articles. Three raters assessed each included article for methodological quality.

Results

The search strategy identified a total of 311 articles (initial search, ancestry searching, articles from other sources). After deduplication, we screened a total of 165 articles for eligibility. A final set of seven articles was identified. Our narrative synthesis of the articles suggests that both autistic people and the relatives of autistic people think living independently is a source of positive personal development. However, autistic people reported that poor employment prospects impacted on their financial independence and hence independent living. Parents highlighted concerns about their offspring's personal care, safety, and the difficulty of navigating the housing system for those autistic people with co-occurring intellectual disability.

Conclusions

Taken together, our review suggests that autistic people and those who care for them have a positive view of independent living and are aware of the barriers to achieving this. Our review highlights a gap in the understanding of autistic adults' experience of moving home. We briefly describe our ongoing research project [the "Moving (as an) Autistic Person" project] exploring autistic people's experiences of moving house.

Daily living skills scale: Development and preliminary validation of a new, open-source assessment of daily living skills

Autistic individuals and individuals with a range of other neurodevelopmental conditions (NDD) often present with lower levels of daily living skills (DLS) when compared to their neurotypical peers. Importantly, lower levels of DLS have been linked to a range of negative outcomes, including lower rates of post-secondary education, lower employment rates, and higher daily support needs across autism and NDD. However, there are currently no open-source informant-reported instruments for capturing key aspects of DLS. This study describes the development, refinement, and initial psychometric evaluation of a new, relatively brief (53-item). Daily Living Skills Scale (DLSS) in a sample of 1,361 children aged 2-17 years, Confirmatory Factor Analysis demonstrated an excellent fit of unidimensional model to the data (CFI = 0.953, TLI = 0.951, RMSEA = 0.073 [95% CI: 0.071-0.074]). The single-factor CFA model showed evidence of measurement invariance of factor loadings, thresholds, and residual variance (strict invariance) across sex, age, race, and ethnicity. Model reliability and internal consistency were excellent (ω = 0.98; α = 0.97). Conditional reliability estimates indicated very good reliability (= 0.80) for the total DLS scale from very low (θ = -4.2) to high (θ = +2.4) scores. Conceptually derived self-care, homecare, and community participation subscales also showed strong reliability and internal consistency. With further replication, the EFS has excellent potential for wide adoption across research and clinical contexts.