Literature DB >> 32686642

Interventions based on early intensive applied behaviour analysis for autistic children: a systematic review and cost-effectiveness analysis.

Mark Rodgers1, David Marshall1, Mark Simmonds1, Ann Le Couteur2, Mousumi Biswas1, Kath Wright1, Dheeraj Rai3, Stephen Palmer4, Lesley Stewart1, Robert Hodgson1.   

Abstract

BACKGROUND: Early intensive applied behaviour analysis-based interventions are intensive interventions for autistic children that are often delivered on a one-to-one basis for 20-50 hours per week.
OBJECTIVES: To evaluate the clinical effectiveness and cost-effectiveness of early intensive applied behaviour analysis-based interventions for autistic children, based on current evidence.
METHODS: A systematic review and individual participant data meta-analysis were conducted to evaluate the clinical effectiveness of an early intensive applied behaviour analysis-based intervention for autistic children. An economic analysis included a review of existing analyses and the development of a new model.
RESULTS: Twenty studies were included in the clinical review. Individual participant data were retrieved from 15 of these studies. Results favoured the interventions when assessing adaptive behaviour after 2 years compared with treatment as usual/eclectic interventions (mean difference 7.00, 95% confidence interval 1.95 to 12.06). In analyses of cognitive ability (intelligence quotient), results favoured the interventions by approximately 10 points after 1 year (mean difference 9.16, 95% confidence interval 4.38 to 13.93) and 2 years (mean difference 14.13, 95% confidence interval 9.16 to 19.10). Evidence for other outcomes was limited and meta-analyses were generally inconclusive. There was no evidence that the effect of the interventions varied with characteristics of the children, but data were limited. Adopting a £30,000 per quality-adjusted life-year threshold, the results of the cost-effectiveness analysis indicate that early intensive applied behaviour analysis-based interventions would need to generate larger benefits or cost savings to be cost-effective. Adopting a public sector perspective and making pessimistic assumptions about long-term effects, the incremental cost-effectiveness ratio for early intensive applied behaviour analysis-based therapy compared with treatment as usual is £189,122 per quality-adjusted life-year. When optimistic assumptions are made, the incremental cost-effectiveness ratio is £46,768 per quality-adjusted life-year. Scenario analyses indicated that these interventions can potentially be cost-effective if long-term improvements persist into adulthood, or if they have significant impact on educational placement. Care should be taken when interpreting these scenarios owing to the limited data. LIMITATIONS: All included studies were at risk of bias, there was substantial heterogeneity and effects varied considerably across studies. The effect of intervention on autism symptom severity, language development and school placement remains uncertain because of the limited data. The long-term effects are unclear owing to a lack of follow-up data.
CONCLUSIONS: This review found limited evidence that early intensive applied behaviour analysis-based interventions may improve cognitive ability and adaptive behaviour, but the long-term impact of the interventions remains unknown. The economic analysis is constrained by the limited effectiveness evidence, but suggests that these interventions are unlikely to be cost-effective unless clear long-term benefits, or a substantial change in which schools children attend, can be identified. FUTURE WORK: Further studies into the effectiveness of early intensive applied behaviour analysis-based interventions may be warranted if they include well-defined, alternative interventions as comparators and collect relevant outcomes. Consideration should be given to future studies that not only address whether or not early intensive applied behaviour analysis-based interventions are clinically effective, but also aim to identify which components of early intensive applied behaviour analysis-based interventions might drive effectiveness. STUDY REGISTRATION: This study is registered as PROSPERO CRD42017068303. FUNDING: This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 24, No. 35. See the NIHR Journals Library website for further project information.

Entities:  

Keywords:  APPLIED BEHAVIOUR ANALYSIS SYSTEMATIC REVIEW; ASD; AUTISM; COST-EFFECTIVENESS; IPD, META-ANALYSIS

Year:  2020        PMID: 32686642      PMCID: PMC7397479          DOI: 10.3310/hta24350

Source DB:  PubMed          Journal:  Health Technol Assess        ISSN: 1366-5278            Impact factor:   4.014


  157 in total

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5.  Service and wider societal costs of very young children with autism in the UK.

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7.  The economic impact of autism in Britain.

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8.  Health-related quality of life in children with high-functioning autism.

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9.  Assessing progress during treatment for young children with autism receiving intensive behavioural interventions.

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1.  Intensive behavioural interventions based on applied behaviour analysis for young children with autism: An international collaborative individual participant data meta-analysis.

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2.  Association of Child and Family Attributes With Outcomes in Children With Autism.

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4.  Intensive behavioural interventions based on applied behaviour analysis (ABA) for young children with autism: A cost-effectiveness analysis.

Authors:  Robert Hodgson; Mousumi Biswas; Stephen Palmer; David Marshall; Mark Rodgers; Lesley Stewart; Mark Simmonds; Dheeraj Rai; Ann Le Couteur
Journal:  PLoS One       Date:  2022-08-16       Impact factor: 3.752

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7.  Applied Behavior Analysis in Children and Youth with Autism Spectrum Disorders: A Scoping Review.

Authors:  Mojgan Gitimoghaddam; Natalia Chichkine; Laura McArthur; Sarabjit S Sangha; Vivien Symington
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8.  A Systematic Review of the MDMA Model to Address Social Impairment in Autism.

Authors:  Devahuti Chaliha; John C Mamo; Matthew Albrecht; Virginie Lam; Ryu Takechi; Mauro Vaccarezza
Journal:  Curr Neuropharmacol       Date:  2021       Impact factor: 7.363

9.  When autism researchers disregard harms: A commentary.

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