White Rose University Consortium logo
University of Leeds logo University of Sheffield logo York University logo

An Investigation Into E-therapies for Older Adults

Bennion, Matthew R (2018) An Investigation Into E-therapies for Older Adults. PhD thesis, University of Sheffield.

[img] Text (Office 2010 Word Document)
Restricted until 19 March 2020.

Request a copy


This thesis concerns the use of e-therapies, that is, the delivery via a digital platform of a psychotherapeutic intervention. More specifically, it concerns the use of e-therapies for mild to moderate stress, anxiety and depression by older adults, a sector of the population hitherto neglected both in the design of e-therapies and in research of this nature. The primary aim of the work was to explore ways in which the user interface of an e-therapy could be enhanced to improve usability for and promote acceptability by older adults, and hence improve access to this mode of therapy for this particular service user group. Secondary aims were to examine whether perceived usability is associated with other factors that influence the delivery of therapy such as credibility, pre-expectancy and the therapeutic relationship. Phase one, comprising two surveys and a meta-analysis, mapped the landscape of contemporary e-therapy use within NHS England in order to determine: what e-therapies are used; what evidence exists for them; and whether they are suitable for older adults. Findings indicated that e-therapies used in the NHS are broadly effective, but they are less effective with age, and there is a dearth of research on their use in older adults. Following on from this, phase two, comprising three empirical studies, investigated: the relationship between usability and expectancies and acceptability of e-therapies, in older adults. Findings indicated that the perceived therapeutic relationship older adults formed with the e-therapy was related to the e-therapy’s usability, suggesting that usability is an important factor in e-therapy design that requires further research attention.

Item Type: Thesis (PhD)
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Computer Science (Sheffield)
The University of Sheffield > Faculty of Science (Sheffield) > Computer Science (Sheffield)

The University of Sheffield > Faculty of Science (Sheffield) > Psychology (Sheffield)
Depositing User: Dr Matthew R Bennion
Date Deposited: 25 Mar 2019 09:40
Last Modified: 25 Mar 2019 10:44
URI: http://etheses.whiterose.ac.uk/id/eprint/23347

Please use the 'Request a copy' link(s) above to request this thesis. This will be sent directly to someone who may authorise access.
You can contact us about this thesis. If you need to make a general enquiry, please see the Contact us page.

Actions (repository staff only: login required)