Behavioural activation for depressive symptoms in adults with severe to profound intellectual disabilities: modelling and initial feasibility study

Gillooly, Amanda, Dagnan, David ORCID: https://orcid.org/0000-0002-5709-1586 , Hastings, Richard, Hatton, Chris, McMeekin, Nicola, Baines, Susie, Cooper, S.‐A., Crawford, Lucy, Gillespie, David, Miller, Jenny and Jahoda, Andrew (2024) Behavioural activation for depressive symptoms in adults with severe to profound intellectual disabilities: modelling and initial feasibility study. Journal of Applied Research in Intellectual Disabilities, 37 (2). e13197.

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Abstract

Background: Almost no research has been published reporting on evaluations of the effectiveness of psychological interventions for people with severe to profound intellectual disabilities and depression. This paper describes the development and initial feasibility testing of an adapted Behavioural Activation therapy (BeatIt2) for this population.

Method: Phase 1 of the study examined participant recruitment and willingness to be randomised in the context of a planned Randomised Controlled Trial (RCT). Phase 2 examined the feasibility of delivering the intervention.

Results: Twenty adults with a severe or profound intellectual disability and clinically significant depression were recruited to Phase 1 of the study. In Phase 2, there was 100% participant retention for those recruited to the study at 6‐month follow‐up. The BeatIt2 therapy was reported to be acceptable for participants.

Conclusion: COVID disruption meant that it was not possible to complete the planned feasibility RCT. The positive findings suggest that additional evaluation of BeatIt2 is warranted.

Item Type:	Article
Journal / Publication Title:	Journal of Applied Research in Intellectual Disabilities
Publisher:	Wiley
ISSN:	1468-3148
Departments:	Institute of Health > Psychology and Psychological Therapies Centre for Research in Health and Society (CRIHS)
Additional Information:	This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Depositing User:	David Dagnan
Date Deposited:	24 Mar 2024 12:29
Last Modified:	01 Sep 2024 08:00
URI:	https://insight.cumbria.ac.uk/id/eprint/7600

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