The psychological and social impact of the digital self-support system 'Brain in Hand' on autistic people: prospective cohort study in England and Wales.
BJPsych Open
; 9(3): e96, 2023 May 26.
Article
em En
| MEDLINE
| ID: mdl-37232106
BACKGROUND: Brain in Hand (BIH) is a UK-based digital self-support system for managing anxiety and social functioning. AIMS: To identify the impact of BIH on the psychological and social functioning of adults with autism. METHOD: Adults with diagnosed or suspected DSM-5 (level 1) autism, identified by seven NHS autism services in England and Wales, were recruited for a 12-week prospective mixed-methods cohort study. The primary quantitative outcome measures were the Health of the Nation Outcome Scales for People with Learning Disabilities (HONOS-LD) and the Hospital Anxiety and Depression Scale (HADS). Fisher's exact test explored sociodemographic associations. Paired t-test was utilised for pre-post analysis of overall effectiveness of BIH. Multivariable linear regression models, univariable pre-post analysis, Wilcoxon signed-rank test, logistic regression analysis, Bonferroni correction and normative analysis were used to give confidence in changes identified. A thematic analysis of semi-structured exist interviews following Braun and Clarke's six-step process of 10% of participants who completed the study was undertaken. RESULTS: Sixty-six of 99 participants completed the study. There was significant reduction in mean HONOS-LD scores, with 0.65 s.d. decrease in those who used BIH for 12 weeks. Significant positive changes were identified in HONOS-LD subdomains of 'self-injurious behaviours', 'memory and orientation', 'communication problems in understanding', 'occupation and activities' and 'problems with relationship'. A significant reduction in the anxiety, but not depression, component of the HADS scores was identified. Thematic analysis showed high confidence in BIH. CONCLUSIONS: BIH improved anxiety and other clinical, social and functioning outcomes of adults with autism.
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Base de dados:
MEDLINE
Tipo de estudo:
Etiology_studies
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Observational_studies
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Prognostic_studies
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Qualitative_research
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Risk_factors_studies
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article