Background: The classification of mental, behavioural and neurodevelopmental disorders in the World Health Organization's International Classification of Diseases 11th revision (ICD-11) includes a comprehensive set of behavioural indicators (BIs) within the neurodevelopmental disorders grouping. BIs can be used to assess the severity of disorders of intellectual development in situations in which standardised measures of intellectual functioning and adaptive behaviours are not available or feasible. This international study examines the implementation characteristics of the BIs and compares them to standardised measures for assessing the severity of intellectual impairment and adaptive behaviours in disorders of intellectual development and autism spectrum disorder (ASD). The clinical utility of the ICD-11 and the fidelity of its application in international clinical settings were also assessed. Methods: A total of 116 children and adolescents (5-18 years old) with a suspected or established diagnosis of disorders of intellectual development were included across four sites [Italy (n = 18), Sri Lanka (n = 19) and two sites in India (n = 79)]. A principal component analysis was conducted to evaluate the application of the ICD-11 guidance for combining severity levels. Results: Assessment using the BIs showed a higher proportion of individuals classified with mild severity, whereas the standardised measures indicated a higher proportion of severe ratings. Additionally, individuals with co-occurring ASD tended to have more severe impairments compared with those without ASD, as indicated by both BIs and standardised measures. Overall, the BIs were considered clinically useful, although more time and consideration were required when applying the guidelines for individuals with a co-occurring disorder of intellectual development and ASD. The principal component analysis revealed one principal component representing overall disorders of intellectual development severity levels. Conclusions: The ICD-11 BIs can be implemented as intended in international clinical settings for a broad range of presentations of individuals with neurodevelopmental disorders. Use of the BIs results in similar severity diagnoses to those made using standardised measures. The BIs are expected to improve the reliability of severity assessments in settings where appropriate standardised measures for intellectual and adaptive behaviours are not available or feasible.

Background Research has shown high rates of suicidality in autism spectrum conditions (ASC), but there is lack of research into why this is the case. Many common experiences of autistic adults, such as depression or unemployment, overlap with known risk markers for suicide in the general population. However, it is unknown whether there are risk markers unique to ASC that require new tailored suicide prevention strategies. Methods Through consultation with a steering group of autistic adults, a survey was developed aiming to identify unique risk markers for suicidality in this group. The survey measured suicidality (SBQ-R), non-suicidal self-injury (NSSI-AT), mental health problems, unmet support needs, employment, satisfaction with living arrangements, self-reported autistic traits (AQ), delay in ASC diagnosis, and ‘camouflaging’ ASC. One hundred sixty-four autistic adults (65 male, 99 female) and 169 general population adults (54 males, 115 females) completed the survey online. Results A majority of autistic adults (72%) scored above the recommended psychiatric cut-off for suicide risk on the SBQ-R; significantly higher than general population (GP) adults (33%). After statistically controlling for a range of demographics and diagnoses, ASC diagnosis and self-reported autistic traits in the general population significantly predicted suicidality. In autistic adults, non-suicidal self-injury, camouflaging, and number of unmet support needs significantly predicted suicidality. Conclusions Results confirm previously reported high rates of suicidality in ASC, and demonstrate that ASC diagnosis, and self-reported autistic traits in the general population are independent risk markers for suicidality. This suggests there are unique factors associated with autism and autistic traits that increase risk of suicidality. Camouflaging and unmet support needs appear to be risk markers for suicidality unique to ASC. Non-suicidal self-injury, employment, and mental health problems appear to be risk markers shared with the general population that are significantly more prevalent in the autistic community. Implications for understanding and prevention of suicide in ASC are discussed.

Aim: To identify constipation at an early stage or any changes to bowel habits that could indicate a physical health condition. To empower patients and staff alike to have healthy and open conversations regarding their bowel movement and urine output health and when to act upon it. Historically, conversation and awareness of healthy bowel movements (BM) has been a taboo topic amongst both staff and patients in Learning Disabilities. Patients in particular can find the topic uncomfortable to talk about which can lead to gaps in healthcare; making it harder for staff and patients to understand their physical healthcare needs. Constipation is also a contributor to death with those of a learning disability (LeDeR reports), with a high use of laxatives for LD&A patients. Initially, a project was proposed to look at physical healthcare as a whole, however it was quickly understood that the topic was extremely broad and a few different projects were initiated, including this one. Tools Used: Stakeholder Analysis - https://aqua.nhs.uk/wp-content/uploads/2023/07/qsir-stakeholder-analysis.pdf; Process Mapping - https://aqua.nhs.uk/wp-content/uploads/2023/07/qsir-mapping-the-process.pdf Project Impact: • A Physical Health Group and Patient Forum has been started in LD&A to foster open conversations. • Patients have been taught to self-report with a user-friendly chart. • Vinyl stickers are now in all toilets to help patients identify good vs bad bowel movements. • Standardised chart to help staff monitor bowel movements in a standard way. • Staff and patients feel more empowered to talk about bowel movements. Staff Feedback; “We have a patient on the ward who is very independent and doesn’t talk about bowel movements. We used the self-reporting chart and they thought it was great! They wrote down their BM and were happy to show us the chart. They said they don’t like to talk about it, which is why they’d never told us before.”

Few autism spectrum disorder (ASD) screening tools have been developed and validated in Africa. This study aimed to examine the psychometric properties of the Social Communication Questionnaire (SCQ) when used with Nigerian adolescents. Parents and caregivers of two hundred and five adolescents completed the SCQ Lifetime form while the adolescents were assessed for ASD using the Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2). Factor structure and convergent and discriminative validity were examined, along with the sensitivity and specificity of the SCQ in identifying participants with an autism spectrum disorder. The confirmatory factor analysis (CFA) was used to examine the factor structure, while logistic regression and Pearson's correlation coefficient were used to examine the validities. The SCQ had good internal consistency, discriminative, and convergent validity. A cut-off score of 10 revealed sensitivity = 0.81 and specificity = 0.88 for the identification of autism spectrum disorder. AUC was 0.83, p < 0.001, 95% CI [0.77, 0.90]. The results of this study provide evidence to support the retention of the original four factors of the SCQ. The SCQ has good psychometric properties when used with Nigerian adolescents.

The Guide to Reasonable Adjustments for Autistic Adults was co-produced by a number of autistic Experts by Experience and staff working in the Neuro-liaison and Adult Neurodevelopmental Teams. It has been adapted from the original mental health-based version, to include suggestions for implementing reasonable adjustments in a wider range of contexts. We hope that this toolkit will encourage you to think about how you can make some small but powerful changes, to help reduce some of the inequalities autistic people face when trying to access support services. Documentation included: Guidance, three editable profile examples, guidance for clients, and guidance for professionals.

This study compared two goal-setting approaches found in the Precision Teaching literature, namely the minimum celeration line and the beat your personal best during the mathematical practice of three male students diagnosed with autism, aged 8–9. An adapted alternating treatments design with a control condition was embedded in a concurrent multiple baseline across participants design. Each approach was randomly allocated to either the multiplication/division (×÷) table of 18 or 19, while no approach was allocated to the ×÷14 table that acted as a control. Instruction utilized number families and consisted of (a) untimed practice, (b) frequency-building, (c) performance criteria, (d) graphing, and (e) a token economy. Upon practice completion, an assessment of maintenance, endurance, stability, and application (MESA) was conducted. Participants improved with both conditions and maintained their performance well, while improvements with the control condition were weak. The beat your personal best approach was highlighted as slightly more effective in terms of average performance and more efficient in terms of timings needed to achieve criterion. No differences were identified in terms of learning rate (i.e., celeration) or performance on the MESA. More research is warranted to identify which goal-setting procedure is more appropriate for students in special education.

Social media can lead to rejection, cyber-bullying victimisation, and cyber-aggression, and these experiences are not fully understood as experienced by autistic adults. To investigate this, 78 autistic adults completed self-report measures of social media use, cyber-bullying victimisation, cyber-aggression, and self-esteem. High levels of social media use were found to be associated with an increased risk of cyber-victimisation; whereas self-esteem was positively correlated with feelings of belonging to an online community and negatively correlated with feelings of being ignored on social network sites and chat rooms. Future studies are needed to further investigate the experience of cyber-bullying victimisation of autistic adults.

Background Despite the widespread use of psychotropic medications in people with autism spectrum disorder (ASD), there is limited evidence to suggest that psychotropic medications including mood stabilisers are effective in individuals with ASD. Aims To carry out a systematic review and meta-analysis of randomised controlled trials (RCTs) that assessed the effectiveness of mood stabilisers in people with ASD. Method We searched the following databases: Cochrane Library, MEDLINE, Embase, CINAHL, PsycINFO, ERIC, DARE, and ClinicalTrials.gov. In addition, we hand-searched 12 relevant journals. We used the Cochrane Risk of Bias and Jadad scores to assess the quality of included RCTs. We carried out a meta-analysis using a random-effects model. Results We included eight RCTs (four on valproate, two on levetiracetam, and one each on lamotrigine and topiramate) that included a total of 310 people with ASD, primarily children. Outcomes were based on core and associated ASD symptoms including irritability and aggression but not bipolar disorder. Only two small studies (25%) from the same group showed definite superiority over placebo and one over psychoeducation alone. Meta-analysis of pooled data on the Aberrant Behaviour Checklist-irritability, Clinical Global Impression Scale-improvement, and Overt Aggression Scale (OAS)/OAS-modified did not show any significant inter-group difference. The rates of adverse effects did not show any significant inter-group difference. Conclusions Given the methodological flaws in the included studies and the contradictory findings, it is difficult to draw any definitive conclusion about the effectiveness of mood stabilisers to treat either ASD core symptoms or associated behaviours. Robust large-scale RCTs are needed in the future to address this issue.

Previous research shows that autistic people have high levels of co-occurring mental health conditions. Yet, a number of case reports have revealed that mental health conditions are often misdiagnosed in autistic individuals. A total of 420 adults who identified as autistic, possibly autistic or non-autistic completed an online survey consisting of questions regarding mental health diagnoses they received, whether they agreed with those diagnoses and if not why. Autistic and possibly autistic participants were more likely to report receiving mental health diagnoses compared to non-autistic participants, but were less likely to agree with those diagnoses. Thematic analysis revealed the participants’ main reasons for disagreement were that (1) they felt their autism characteristics were being confused with mental health conditions by healthcare professionals and (2) they perceived their own mental health difficulties to be resultant of ASC. Participants attributed these to the clinical barriers they experienced, including healthcare professionals’ lack of autism awareness and lack of communication, which in turn prevented them from receiving appropriate support. This study highlights the need for autism awareness training for healthcare professionals and the need to develop tools and interventions to accurately diagnose and effectively treat mental health conditions in autistic individuals.

Unrecognised psychiatric and medical conditions can lead poorer health outcomes, lower health-related quality of life and increased mortality in people with autism, compared with the general population. A reasonable adjustment required in mainstream services is patient prioritisation by clinicians with knowledge and understanding of autism. Developed as part of the revised autism strategy, the recently developed autism competency framework lists the range of capabilities that psychiatrists who treat people with autism should have. Psychiatrists could lead the workforce transformation required to make the reasonable adjustments to mainstream mental health services needed to improve outcomes for people with autism.