A Vitale
Bath Spa University
14 Papers
76 Citations
A Vitale is an academic researcher from Bath Spa University. The author has contributed to research in topics: Mental health & Refugee. The author has an hindex of 5, co-authored 14 publications. Previous affiliations of A Vitale include University of Limerick & Mary Immaculate College.
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Papers
Facilitating Responding in Accordance with the Relational Frame of Comparison: Systematic Empirical Analyses
TL;DR: In this article, the authors examined patterns of adult responding to different types of more-than and less-than relations, as well as procedures for facilitating re sponding in accordance with these relations.
Promoting male refugees’ mental health after they have been granted leave to remain (refugee status)
TL;DR: The overall findings indicated that being granted Leave to Remain worsened participants’ mental health, as they had to face new challenges such as seeking employment and accommodation, as well as their general struggle to settle in the U.K.
The contribution of relational frame theory to the development of interventions for impairments of language and cognition
Veronica Cullinan,A Vitale +1 more
- 01 Jan 2008
TL;DR: For example, the concept of stimulus equivalence has been studied in the context of human language as discussed by the authors, where a subject is trained to select a visual form from an array of visual forms from a set of possible visual forms.
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Promoting mental health through multidisciplinary care: experience of health professionals working in community mental health teams in Ireland
TL;DR: CMHTs' perspectives and experience of community-based care are explored and their awareness of specific key performance indicators (KPIs) that can monitor their provision of care are examined; it is indicated that having clear KPIs did not represent a priority for a large number of respondents.
Facilitating Responding in Accordance with the Relational Frame of Comparison II: Methodological Analyses
TL;DR: This paper examined patterns of adult responding to arbitrary more-than and less-than relations across a range of real-world tasks and found that these could be significantly improved with feedback and non-arbitrary trial presentations.