649
Views
27
CrossRef citations to date
0
Altmetric
Articles

The acceptability of an Internet-based self-help treatment for fear of public speaking

, , , , &
Pages 297-311 | Received 12 Sep 2008, Published online: 22 Jul 2009
 

ABSTRACT

Several randomised controlled studies have shown the efficacy of Internet-based self-help treatments. These studies have centred their attention on axis I (efficacy) of the Guidelines for Empirically Validated Treatments, although there are a few studies that also take into account axis II (effectiveness). The aim of the present work was to test the acceptability of an Internet-based self-help program for fear of public speaking and to compare its acceptability with the same treatment administered by a therapist. Fifty-two participants suffering from social phobia were randomly selected to take part in one of these treatments. All participants reported being satisfied with the treatment received, and results did not show significant differences between both treatments. These outcomes were maintained at 12-month follow-ups.

Acknowledgements

The research presented in this paper was funded in part by Ministerio de Educación y Ciencia, Spain, PROYECTOS CONSOLIDER-C (SEJ2006-14301/PSIC), by Programa de Acciones Integradas con Sudáfrica (HS2006-0001), and by Universitat Jaume I – Fundació Caixa Castelló (P1 1A2005-06). CIBER Fisiopatología de la Obesidad y Nutrición is an initiative of ISCIII.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 463.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.