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The debate as to whether intellectual disability (ID) should be conceptualized as a health condition or as a disability has intensified as the revision of World Health Organization’s (WHO’s) International Classification of Diseases (ICD) is being finalized. Defining ID as a health condition is central to retaining it in ICD, with significant implications for health policy and access to health services. The purpose of this paper is to include some reflections on the consensus document produced by the first WHO Working Group on the Classification of MR (WHO WG-MR) and on the process that was followed to realize it. The consensus report was the basis for the development of official recommendations sent to the WHO Advisory Group for ICD-11.

A mixed qualitative approach was followed in a series of meetings leading to the final consensus report submitted to the WHO Advisory group. These recommendations combined prior expert knowledge with available evidence; a nominal approach was followed throughout with face-to-face conferences.

The WG recommended a synonym set (“synset”) ontological approach to the conceptualisation of this health condition underlying a clinical rationale for its diagnosis. It proposed replacing MR with Intellectual Developmental Disorders (IDD) in ICD-11, defined as “a group of developmental conditions characterized by a significant impairment of cognitive functions, which are associated with limitations of learning, adaptive behaviour and skills”. The WG further advised that IDD be included under the parent category of neurodevelopmental disorders, that current distinctions (mild, moderate, severe and profound) be continued as severity qualifiers, and that problem behaviours removed from its core classification structure and instead described as associated features.

Within the ID/IDD synset two different names combine distinct aspects under a single construct that describes its clinical as well as social, educational and policy utilities. The single construct incorporates IDD as a clinical meta-syndrome, and ID as its functioning and disability counterpart. IDD and ID are not synonymous or mirror concepts as they have different scientific, social and policy applications. New diagnostic criteria for IDD should be based on a developmental approach, which accounts for the complex causal factors known to impact the acquisition of specific cognitive abilities and adaptive behaviours. The paper focuses on a new clinical framework for the diagnosis of IDD that also includes and complements the existing social, educational and policy components inherent in ID.

During the last few years the prevalence of autism and Autism Spectrum Disorder (ASD) has increased greatly. A recurring issue is the overlap and boundaries between Intellectual Developmental Disorder (IDD), ASD and Schizophrenia Spectrum Disorders (SSD). In clinical practice with people with IDD, the alternative or adjunctive diagnosis of ASD or SSD is particularly challenging. The purpose of this paper is to define the boundaries and overlapping clinical characteristics of IDD, ASD and SSD; highlight the most relevant differences in clinical presentation; and provide a clinical framework within which to recognize the impact of IDD and ASD in the diagnosis of SSD.

A systematic mapping of the international literature was conducted on the basis of the following questions: first, what are considered to be core and overlapping aspects of IDD, ASD and SSD; second, what are the main issues in clinical practice; and third, can key diagnostic flags be identified to assist in differentiating between the three diagnostic categories?

Crucial clinical aspects for the differentiation resulted to be age of onset, interest towards others, main positive symptoms, and anatomical anomalies of the central nervous system. More robust diagnostic criteria and semeiological references are desirable.

The present literature mapping provides a comprehensive description of the most relevant differences in the clinical presentation of ASD and SSD in persons with IDD.

The purpose of this paper is to provide a synthesis of the literature on the topic of developmental framework and health comorbidities of children and adults with borderline intellectual functioning (BIF) and neurodevelopmental disorders.

A rapid review of the literature and hand searching of relevant papers from 1999 to 2015 was carried out. Totally, 21 papers were identified covering a range of perspectives from neurodevelopmental trajectories to prevalence, treatment and service use.

All papers were utilised and complemented a previous review which, however, had not covered the aspect of treatment approaches for this population. As a group they appear to have distinctly different profiles from people with mild intellectual disability and of peers with average intelligence.

The evidence summary indicates an ongoing interest by the international scientific community in the topic of BIF. This group are often lost in the health system and may not receive appropriate care given their unique clinical profile. More should be done to increase clinicians’ awareness of their health needs.

The paper adds substantially to a previous review of the topic. An international collaboration may help to increase the profile of this work and lead to further changes in the care these individuals receive across the diagnostic and treatment spectrum.

The 11th revision of the International Classification of diseases which sets global standards for defining, reporting and managing health conditions is under way. The International Classification of Diseases (ICD) underpinning principle of clinical utility is currently poor for persons with Disorders of Intellectual Development (DID) and mental disorders. This impedes access to healthcare resources; services and social inclusion thereby further aggravating their vulnerability. The purpose of this paper is to present a critical overview and evidence informed recommendations within the context of an international collaborative programme, undertaken by the Faculty of Psychiatry of Intellectual Disability, Royal College of Psychiatrists, UK with support from the World Health Organisation (WHO).

The authors carried out: first, a systematic review (SR) of literature, using PRISMA guidelines regarding the reliability, validity and utility of the ICD-10/Diagnostic and Statistical Manual of Mental Disorders (DSM) diagnostic criteria in people with DID (PWDID); second, a national and international consultation exercise with partners, stakeholders and experts; third, a multicentric survey of problem behaviours in PWDID; and finally, information dissemination/dialogues including presentations and workshops at key scientific events, consultation networking, data gathering and consensus building.

The SR revealed a dearth of robust studies – most consisting of weak research methodologies. Significant difficulties were highlighted regarding the application of diagnostic criteria in the current classificatory systems – particularly in people with severe/moderate DID. Recommendations supported the introduction WHERE APPROPRIATE of modifications based on observed phenomena (signs) in PWDID in lieu of reported symptoms to facilitate DIAGNOSIS AND better access to healthcare and the community. Heterogeneity precluded quantitative pooling and meta-analysis. The consensus building exercise globally revealed that problem behaviours were the commonest reasons for referral to healthcare services with significant numbers without a diagnosed mental disorder being prescribed psychoactive medication.

The consensus gathering exercise WAS SELECTIVE AND did not cover all of the 194 member states of WHO due to resource and time constraints and this constitutes the main limitation of our study. Based on the SR and expert consensus, the authors submitted evidence informed pragmatic proposals to the WHO aimed at addressing the shortcomings of the ICD-10. The key recommendations focused on improving clinical utility within the context of epistemic iteration which would consolidate and strengthen the future evidence base. It was also recommended that self-injurious behaviour should form a standalone sub category in view of its relevance for healthcare services and resources which underpin clinical utility.

The ICD-11 is a global, multidisciplinary and multilingual development for public health benefit with 70 per cent of the world's health expenditures assigned using this system for resource allocation. Currently mental disorders in PWDID can be misinterpreted, unrecognised and under reported resulting in barriers to access to treatment and healthcare resources. Conversely disorders may be over diagnosed when the inherent discrepancies between the chronological age and the developmental level of functioning are not considered. Conclusions and recommendations from this study will result in better diagnosis of mental disorders and healthcare resources in this population.

PWDID are a vulnerable sector of the population with an increased prevalence of mental health problems who are marginalised and discriminated by society. Early detection, treatment and management of these conditions will prevent further decompensation and stigmatisation.

To the best of the authors knowledge this is the first comprehensive, large-scale study which evaluates the ICD classificatory system within the context of clinical utility for PWDID, including experts and stakeholders from both lower/middle- and high-income countries. The international consultation/consensus building process culminating in the formulation of evidence informed recommendations, aimed at improving the clinical utility of the ICD-11 for this population, has the potential to improve access to appropriate healthcare and treatment and consequent enhancement of their quality of life.

The purpose of this paper is to provide a critical overview of some main implications of the neurodevelopmental perspective for the field of the mental health in intellectual disability and autism spectrum disorders.

A discussion surrounding the importance of integrating different approaches in the neurodevelopmental perspective, drawing on sources from the paper proposals to the 10th International Congress of the European Association in Mental Health and Intellectual Disability (EAMHID), and the literature.

At present, the neurodevelopmental perspective seems to be the most appropriate and valued conceptual framework to support multi-level, interdisciplinary approaches in understanding the aetiologies of mental health problems as well as when and how to intervene. It inherently exemplifies a dimensional approach, which can capture variations between individuals, their developmental time course, brain-behaviours associations and functional significance better than categorical approaches, and diagnostic measures.

This editorial outlines a special issue that offers a comprehensive and varied collection of papers from the contributions to the 10th International Congress of the EAMHID.

Adults with autism spectrum disorder (ASD) present with a range of psychiatric disorders. However, making an accurate diagnosis is challenging. It is important to follow a robust and informed process in the assessment of psychopathology that is centred on the individual and their neurodevelopmental difficulties. The purpose of this paper is to provide clinicians with an evidence-based approach to the assessment process for adults with ASD presenting with a possible co-occurrent psychiatric disorder.

A review of the recent literature was undertaken focusing on key papers that describe the assessment of mental health problems in adults with ASD.

The presentation of psychiatric symptoms is influenced by the underlying developmental disorder and it is often quite different from the one of the general population. Thus, it is essential to undertake a comprehensive psychopathological assessment including a diagnostic assessment of ASD. There is a very small evidence base on the use of diagnostic tools in the assessment of adults with ASD.

This is a practice review paper applying recent evidence from the literature.

The relationship between learning and mental health, as well as a growing body of literature, underscores the need for art therapy in educational settings. This is particularly true for learners with special needs. Shostak et al. (1985) affirmed that “for children with special needs, art therapy in a school setting can offer opportunities to work through obstacles that impede educational success” (p. 19). School art therapy facilitates improved social interaction, increased learning behaviors, appropriate affective development, and increased empathy and personal well-being. It can be adapted to meet the specific developmental needs of individual students and to parallel students’ developmental, learning, and behavioral objectives. This chapter introduces the reader to the history and basic constructs of art therapy as a psychoeducational therapeutic intervention in schools. Model programs are identified, as well as the role of the art therapist within the context of K-12 education settings. Additionally, examples of special populations who benefit from art therapy intervention within school systems are provided, along with considerations for school-wide art therapy.

The purpose of the study is to identify and ascertain if there were any validated tools for diagnosing or screening autism spectrum disorder in adults with ID. The estimated prevalence of intellectual disability (ID) in the general population is about 10.37/1,000 population (Maulik et al., 2011). In total, 1 out of 4 individuals with ID suffers from an autism spectrum disorder (ASD) (Sappok et al., 2010). Early diagnosis and support for ASD is key to having a good quality of life. The diagnosis of ASD in people with an ID presents its own challenges and it is likely under-identification of ASD amongst adults with ID by about 20% to 30% (Emerson and Baines, 2010).

Studies were selected based on the following criteria: studies that reported either screening or diagnostic tools for ASD, participants had an ID i.e. a mean IQ of <70, adults i.e. participants were >18 years of age at the time of entry to the study and articles reported either sensitivity, specificity or area under the curve. Relevant studies that were published up to January 2020 were identified from EMBASE, PsychINFO, CINAHL and PubMed. In total, 75 papers were identified of which 15 papers met the criteria.

The screening or diagnostic tools currently in use is dependant on the degree of ID. A number of the tools had good psychometric properties and utility when used in people with specific degrees of ID or when used in combination with another screening or diagnostic tool. The authors could not identify a diagnostic tool that could be used across all levels of severity of ID unless used in combination. Hence, concluded that there is a need for a diagnostic tool with good psychometric properties for the assessment of ASD in adults with all degree of ID within a reasonable time period without the need for an additional tool to be used in conjunction.

Currently, the “gold standard” for diagnosing ASD is a lengthy and time-consuming process carried out by trained multi-disciplinary team members who assess historical, behavioural and parent/carer report to arrive at a diagnosis. There are a number of tools that have been developed to aid diagnosis. However, it is important to identify the tools that can optimise the procedures and are also time-efficient.

The COVID-19 outbreak has profoundly plagued the world, and current health efforts are focused on providing prevention and ensuring access to intensive services for people with the most severe symptomatology. Many reports have already described substantial psychological distress in the general population. Nevertheless, disasters tend to affect vulnerable subjects disproportionately, and individuals with intellectual disabilities/autism spectrum disorder with high and very high support needs (PwID/ASD-HSN) seem to be counted among the hardest hit populations. The present paper aims to provide a comprehensive discussion and evaluation of COVID-19 related issues specific to PwID/ASD-HSN.

Commentary on available literature and analysis of new preliminary data on PwID/ASD-HSN’s physical and psychic vulnerability factors. This knowledge is fundamental to provide families and caregivers special advice to counteract the risks associated with the current pandemic.

PwID/ASD-HSN represent one of the most vulnerable population to the COVID-19 outbreak and the associated factors of mental distress for several reasons, including multimorbidity, low levels of health literacy, difficulties to understand and communicate, reliance on other people for care, low compliance with complex hygiene rules, the strong need of routine/sameness and low adaptive skills.

In the present work, the authors analyze the specific factors of physical and mental vulnerability in PwID/ASD-HSN, corroborating the dissertation with a discussion on the first data published worldwide and with preliminary data collected on the Italian territory for what concerns prevalence rates of COVID-19 and complications in persons with PwID/ASD-HSN and signs and symptoms of psychic distress during the mass quarantine period.

Students with developmental/intellectual disabilities (ID/DD) often have serious health issues that require additional medical care and supervision. Serious health issues also mean increased absence and additional lags in academic achievement and development of adaptive and social skills. The incorporation of artificial intelligence in the education of a child with ID/DD could ameliorate the educational, adaptive and social skill gaps that occur as a direct result of persistent health problems.

The literature regarding the use of artificial intelligence in education for students with ID/DD was collected systematically from international online databases based on specific inclusion and exclusion criteria. The collected articles were analyzed deductively, looking for the different gaps in the domain. Based on the literature, an artificial intelligence–based architecture is proposed and sketched.

The findings show that there are many gaps in supporting students with ID/DD through the utilization of artificial intelligence. Given that the majority of students with ID/DD often have serious and chronic and comorbid health conditions, the potential use of health information in artificial intelligence is even more critical. Therefore, there is a clear need to develop a system that facilitates communication and access to health information for students with ID/DD, one that provides information to caregivers and education providers, limits errors, and, therefore, improves these individuals' education and quality of life.

This review highlights the gap in the current literature regarding using artificial intelligence in supporting the education of students with ID/DD. There is an urgent need for an intelligent system in collaboration with the updated health information to improve the quality of services submitted for people with intellectual disabilities and as a result improving their quality of life.

This study contributes to the literature by highlighting the gaps in incorporating artificial intelligence and its service to individuals with ID/DD. The research additionally proposes a solution based on the confounding variables of students’ health and individual characteristics. This solution will provide an automated information flow as a functional diagnostic and intervention tool for teachers, caregivers and parents. It could potentially improve the educational and practical outcomes for individuals with ID/DD and, ultimately, their quality of life.