A Systematic Review of Law Enforcement Training Related to Autism Spectrum Disorder

2020 ◽  
Vol 35 (4) ◽  
pp. 221-233 ◽  
Author(s):  
Kirsten S. Railey ◽  
Abigail M. A. Love ◽  
Jonathan M. Campbell

Although research confirms the effectiveness of training to improve law enforcement officers’ (LEOs) awareness and knowledge of people with intellectual disability and learning disabilities, review of the efficacy of autism-specific law enforcement training is needed. To provide up-to-date information regarding training for LEOs related to autism spectrum disorder (ASD), a systematic review of the literature was conducted. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Protocols (PRISMA), we conducted a search of 13 professional databases and 28 journals using search terms related to both ASD and law enforcement training. From 606 articles identified during the initial search, only two articles met inclusion criteria, which suggests that limited research exists that explores ASD and law enforcement training. Included studies were summarized in terms of participants as well as training format, content, and outcomes. Limitations of the current literature, directions for future research, and current implications for practice are discussed.

2020 ◽  
Vol 218 (1) ◽  
pp. 10-19 ◽  
Author(s):  
Ewelina Rydzewska ◽  
Kirsty Dunn ◽  
Sally-Ann Cooper

BackgroundComorbid physical conditions may be more common in people with autism spectrum disorder (ASD) than other people.AimsTo identify what is and what is not known about comorbid physical conditions in people with ASD.MethodWe undertook an umbrella systematic review of systematic reviews and meta-analyses on comorbid physical conditions in people with ASD. Five databases were searched. There were strict inclusion/exclusion criteria. We undertook double reviewing for eligibility, systematic data extraction and quality assessment. Prospective PROSPERO registration: CRD42015020896.ResultsIn total, 24 of 5552 retrieved articles were included, 15 on children, 1 on adults, and 8 both on children and adults. Although the quality of included reviews was good, most reported several limitations in the studies they included and considerable heterogeneity. Comorbid physical conditions are common, and some are more prevalent than in the general population: sleep problems, epilepsy, sensory impairments, atopy, autoimmune disorders and obesity. Asthma is not. However, there are substantial gaps in the evidence base. Fewer studies have been undertaken on other conditions and some findings are inconsistent.ConclusionsComorbid physical conditions occur more commonly in people with ASD, but the evidence base is slim and more research is needed. Some comorbidities compound care if clinicians are unaware, for example sensory impairments, given the communication needs of people with ASD. Others, such as obesity, can lead to an array of other conditions, disadvantages and early mortality. It is essential that potentially modifiable physical conditions are identified to ensure people with ASD achieve their best outcomes. Heightening clinicians’ awareness is important to aid in assessments and differential diagnoses, and to improve healthcare.


2015 ◽  
Vol 33 (1) ◽  
pp. 25-34 ◽  
Author(s):  
Cathy H. Qi ◽  
Erin E. Barton ◽  
Margo Collier ◽  
Yi-Ling Lin ◽  
Charisse Montoya

The purpose of this systematic review was to synthesize 22 single-case research design (SCRD) studies on social stories intervention for individuals with autism spectrum disorder (ASD). We used the What Works Clearinghouse (WWC) SCRD standards to analyze study rigor and evidence of a causal relation. We calculated four nonoverlap indices to evaluate intervention, maintenance, and generalization effects. Results suggested that all studies met the WWC design standards with or without reservations. Seven studies (32%) provided strong or moderate evidence of a causal relation. Nonoverlap indices calculations indicated social stories intervention was effective. Using the WWC 5-3-20 guidelines to determine evidence of social stories, social stories intervention would not be considered an evidence-based practice (EBP) for individuals with ASD based on visual analysis, but would be deemed an EBP based on nonoverlap indices. It is worth noting that WWC used visual analysis, not nonoveralap indices, to determine whether an intervention meets the 5-3-20 replication rule. Findings of the systematic review showed there were discrepancies. Implications for future research and practice are discussed.


2021 ◽  
Vol 51 ◽  
pp. e153-e154
Author(s):  
Alana Panzenhagen ◽  
Ana Paula Herrmann ◽  
Leandro Bertoglio ◽  
Amanda Cavalcanti ◽  
Dirson Stein ◽  
...  

2019 ◽  
Vol 32 (3) ◽  
pp. 1069-1085
Author(s):  
E. E. Dempsey ◽  
C. Moore ◽  
S. A. Johnson ◽  
S. H. Stewart ◽  
I. M. Smith

AbstractMoral reasoning and decision making help guide behavior and facilitate interpersonal relationships. Accounts of morality that position commonsense psychology as the foundation of moral development, (i.e., rationalist theories) have dominated research in morality in autism spectrum disorder (ASD). Given the well-documented differences in commonsense psychology among autistic individuals, researchers have investigated whether the development and execution of moral judgement and reasoning differs in this population compared with neurotypical individuals. In light of the diverse findings of investigations of moral development and reasoning in ASD, a summation and critical evaluation of the literature could help make sense of what is known about this important social-cognitive skill in ASD. To that end, we conducted a systematic review of the literature investigating moral decision making among autistic children and adults. Our search identified 29 studies. In this review, we synthesize the research in the area and provide suggestions for future research. Such research could include the application of an alternative theoretical framework to studying morality in autism spectrum disorder that does not assume a deficits-based perspective.


Autism ◽  
2016 ◽  
Vol 21 (8) ◽  
pp. 929-941 ◽  
Author(s):  
Darren Hedley ◽  
Mirko Uljarević ◽  
Lauren Cameron ◽  
Santoshi Halder ◽  
Amanda Richdale ◽  
...  

Individuals with autism spectrum disorder face significant challenges entering the workforce; yet research in this area is limited and the issues are poorly understood. In this systematic review, empirical peer-reviewed studies on employment programmes, interventions and employment-related outcomes in individuals with autism spectrum disorder over 18 years with and without intellectual disability were identified and evaluated. The review was prefaced by a summary of previous systematic reviews in the area. Web of Science, Medline, PsychINFO, ERIC and Scopus databases were systematically searched through to October 2015. From 32,829 records identified in the initial search, 10 review and 50 empirical articles, comprising N = 58,134 individuals with autism spectrum disorder, were included in the review. Selected articles were organised into the following themes: employment experiences, employment as a primary outcome, development of workplace skills, non-employment-related outcomes, assessment instruments, employer-focused and economic impact. Empirical studies were limited by poor participant characterisation, small sample size and/or a lack of randomisation and use of appropriate controls. Poor conceptualisation and measurement of outcomes significantly limited study quality and interpretation. Future research will require a multidisciplinary and multifaceted approach to explore employment outcomes on the individual, the family system, co-workers and the employer, along with the impact of individual differences on outcome.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Ryan Anthony J. de Belen ◽  
Tomasz Bednarz ◽  
Arcot Sowmya ◽  
Dennis Del Favero

Abstract The current state of computer vision methods applied to autism spectrum disorder (ASD) research has not been well established. Increasing evidence suggests that computer vision techniques have a strong impact on autism research. The primary objective of this systematic review is to examine how computer vision analysis has been useful in ASD diagnosis, therapy and autism research in general. A systematic review of publications indexed on PubMed, IEEE Xplore and ACM Digital Library was conducted from 2009 to 2019. Search terms included [‘autis*’ AND (‘computer vision’ OR ‘behavio* imaging’ OR ‘behavio* analysis’ OR ‘affective computing’)]. Results are reported according to PRISMA statement. A total of 94 studies are included in the analysis. Eligible papers are categorised based on the potential biological/behavioural markers quantified in each study. Then, different computer vision approaches that were employed in the included papers are described. Different publicly available datasets are also reviewed in order to rapidly familiarise researchers with datasets applicable to their field and to accelerate both new behavioural and technological work on autism research. Finally, future research directions are outlined. The findings in this review suggest that computer vision analysis is useful for the quantification of behavioural/biological markers which can further lead to a more objective analysis in autism research.


2021 ◽  
Author(s):  
Judy Seesahai ◽  
Paige Church ◽  
Lina Patel ◽  
Thomas Rotter ◽  
Elizabeth Asztalos ◽  
...  

Abstract BACKGROUNDTraditionally, autism spectrum disorder in people with Down syndrome was believed to be uncommon. This misconception is rooted in the challenges that a dual diagnosis poses. In fact, evidence indicates that children with Down syndrome are at risk for autism spectrum disorder with a potentially higher prevalence than the typically developing population. The purpose of this review is to determine the reported prevalence rate of autism spectrum disorder in all individuals with Down syndrome in comparison to the prevalence rate of autism spectrum disorder in the typical population when specific diagnostic tools are used. METHODSWe will conduct a systematic review of the prevalence and incidence data and perform a meta-analysis on these results. This study will consider all studies that reported on children and adults with an existing diagnosis of Down syndrome and diagnosed by the standardized assessments for autism spectrum disorder. We will also consider the diagnoses made by team assessment (psychologist, psychiatrist & developmental pediatrician), according to DSM-III, DSM-IV or DSM-V criteria for diagnosing autism spectrum disorder or if they use autism spectrum disorder screeners. Studies will be considered from all countries that have data reporting prevalence on this topic. We will not apply language restrictions, attempting to translate studies that are not in English. We will search five databases (MEDLINE, Embase, PsychINFO, Scopus, and CINAHL). Two reviewers will conduct all screening and data extraction independently. The articles will be categorized according to key findings and a critical appraisal performed.DISCUSSIONThe results of this review will bring increased awareness of the presence of autism spectrum disorder in individuals with Down syndrome. In doing so, this may facilitate a recommendation for screening and diagnosis for autism spectrum disorder in all individuals with Down syndrome. Based on the research demonstrating the benefits of early identification and intervention on the outcomes of children with autism, we anticipate similar benefits in this population. This will guide the allocation of resources and direct future research.SYSTEMATIC REVIEW REGISTRATIONWe registerd the review title prospectively on PROSPERO on November 8, 2021. Registration number: CRD42020213282


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