Back to Browse Journals » Patient Preference and Adherence » Volume 2

Predictors of adherence among community users of a cognitive behavior therapy website

Authors Philip J Batterham, Alison L Neil, Kylie Bennett, Kathleen M Griffiths, Helen Christensen

Published Date March 2008 Volume 2008:2 Pages 97—105

DOI http://dx.doi.org/

Published 19 March 2008

Philip J Batterham, Alison L Neil, Kylie Bennett, Kathleen M Griffiths, Helen Christensen

Centre for Mental Health Research, The Australian National University, Canberra, ACT, Australia

Objective: To investigate the predictors of early and late dropout among community users of the MoodGYM website, a five module online intervention for reducing the symptoms of depression.

Method: Approximately 82,000 users accessed the site in 2006, of which 27% completed one module and 10% completed two or more modules. Adherence was modeled as a trichotomous variable representing non-starters (0 modules), early dropouts (1 module) and late dropouts (2–5 modules). Predictor variables included age, gender, education, location, referral source, depression severity, anxiety severity, dysfunctional thinking, and change in symptom count.

Results: Better adherence was predicted by higher depression severity, higher anxiety severity, a greater level of dysfunctional thinking, younger age, higher education, being female, and being referred to the site by a mental health professional. In addition, users whose depression severity had improved or remained stable after the first intervention module had higher odds of completing subsequent modules.

Conclusions: While the effect of age and the null effect of location were in accordance with prior adherence research, the significant effects of gender, education and depression severity were not, and may reflect user characteristics, the content of the intervention and unique aspects of online interventions. Further research directions are suggested to investigate the elements of open access online interventions that facilitate adherence.

Keywords: adherence, dropout, cognitive behavior therapy, depression, online interventions

Download Article [PDF] 

Readers of this article also read:

Surface decoration by Spirulina polysaccharide enhances the cellular uptake and anticancer efficacy of selenium nanoparticles

Yang F, Tang Q, Zhong X, Bai Y, Chen T, Zhang Y, Li Y, Zheng W

International Journal of Nanomedicine 2012, 7:835-844

Published Date: 17 February 2012

Comparison of two treatments for coxarthrosis: local hyperthermia versus radio electric asymmetrical brain stimulation

Castagna A, Rinaldi S, Fontani V, Mannu P, Lotti Margotti M

Clinical Interventions in Aging 2011, 6:201-206

Published Date: 25 July 2011

Bioimpedance in monitoring of effects of selective serotonin reuptake inhibitor treatment

Alexeev VG, Kuznecova LV

Psychology Research and Behavior Management 2011, 4:81-86

Published Date: 30 June 2011

Treatment of hemophilia: a review of current advances and ongoing issues

Antonio Coppola, Mirko Di Capua, Matteo Nicola Dario, et al.

Journal of Blood Medicine 2010, 1:183-195

Published Date: 30 August 2010

Health literacy and health seeking behavior among older men in a middle-income nation

Paul A Bourne, Chloe Morris, Christopher AD Charles, et al

Patient Related Outcome Measures 2010, 1:39-49

Published Date: 26 May 2010

Endophthalmitis: Pathogenesis, clinical presentation, management, and perspectives

M Kernt, A Kampik

Clinical Ophthalmology 2010, 4:121-135

Published Date: 5 March 2010

Tinidazole in the treatment of bacterial vaginosis

Nicola R Armstrong, Janet D Wilson

International Journal of Women's Health 2009, 1:59-65

Published Date: 25 June 2009

Evolution of a domain conserved in microtubule-associated proteins of eukaryotes

Alex S Rajangam, Hongqian Yang, Tuula T Teeri, Lars Arvestad

Advances and Applications in Bioinformatics and Chemistry 2008, 1:51-69

Published Date: 23 September 2008