Elsevier

Behavior Therapy

Volume 46, Issue 2, March 2015, Pages 193-205
Behavior Therapy

Clinical and Cost-Effectiveness of Therapist-Guided Internet-Delivered Cognitive Behavior Therapy for Older Adults With Symptoms of Depression: A Randomized Controlled Trial

https://doi.org/10.1016/j.beth.2014.09.008Get rights and content

Highlights

  • Few older adults with symptoms of depression seek psychological treatment

  • Internet-delivered cognitive behaviour therapy (iCBT) has potential for older adults

  • This study examined the efficacy and cost-effectiveness of iCBT for older adults

  • Large clinical improvements were found in symptoms of depression

  • Evidence of the cost-effectiveness of iCBT was also found

Abstract

Depression is a common and significant health problem among older adults. Unfortunately, while effective psychological treatments exist, few older adults access treatment. The aim of the present randomized controlled trial (RCT) was to examine the efficacy, long-term outcomes, and cost-effectiveness of a therapist-guided internet-delivered cognitive behavior therapy (iCBT) intervention for Australian adults over 60 years of age with symptoms of depression. Participants were randomly allocated to either a treatment group (n = 29) or a delayed-treatment waitlist control group (n = 25). Twenty-seven treatment group participants started the iCBT treatment and 70% completed the treatment within the 8-week course, with 85% of participants providing data at posttreatment. Treatment comprised an online 5-lesson iCBT course with brief weekly contact with a clinical psychologist, delivered over 8 weeks. The primary outcome measure was the Patient Health Questionnaire-9 Item (PHQ-9), a measure of symptoms and severity of depression. Significantly lower scores on the PHQ-9 (Cohen’s d = 2.08; 95% CI: 1.38 – 2.72) and on a measure of anxiety (Generalized Anxiety Disorder-7 Item) (Cohen’s d = 1.22; 95% CI: 0.61 – 1.79) were observed in the treatment group compared to the control group at posttreatment. The treatment group maintained these lower scores at the 3-month and 12-month follow-up time points and the iCBT treatment was rated as acceptable by participants. The treatment group had slightly higher Quality-Adjusted Life-Years (QALYs) than the control group at posttreatment (estimate: 0.012; 95% CI: 0.004 to 0.020) and, while being a higher cost (estimate $52.9 l 95% CI: − 23.8 to 128.2), the intervention was cost-effective according to commonly used willingness-to-pay thresholds in Australia. The results support the potential efficacy and cost-effectiveness of therapist-guided iCBT as a treatment for older adults with symptoms of depression.

Trial Registration

Australian and New Zealand Clinical Trials Registry: ACTRN12611000927921; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=343384.

Section snippets

Participants

A total of 111 individuals applied to participate in the study via the eCentreClinic website (www.ecentreclinic.org) and 54 met the criteria for inclusion into the study. The inclusion criteria were as follows: (a) resident of Australia; (b) 60 years of age and over; (c) reported that they have been assessed by a general practitioner or medical specialist to rule out a reversible physical cause for their depression. An initial additional criterion that applicants had a total score  10 on the

Preliminary Tests

No differences were found between the treatment and control groups in demographic characteristics or in the proportions meeting diagnostic criteria (ps > .05). No differences were found between participants who did and did not complete posttreatment questionnaires (ps > .05). The numbers of treatment group participants meeting diagnostic criteria at pretreatment and at 3-month follow-up are shown in Table 2.

Symptom Outcomes for Overall Sample

Means and standard deviations for the PHQ-9 and the GAD-7 for the treatment and waitlist

Discussion

This RCT examined a new iCBT intervention, the Managing Your Mood Course, for older adults experiencing symptoms of depression. It was hypothesized that (a) the treatment group would report significantly reduced symptoms of depression at posttreatment compared with the waitlist control group, (b) symptom reductions of the treatment group would be sustained at 3-month and 12-month follow-up, and (c) the iCBT treatment would be cost-effective based on QALYs and commonly employed

Conflict of Interest Statement

N. Titov and B. Dear are authors and developers of the Managing Your Mood Course, but derive no personal or financial benefit from it. N. Titov, B. Dear, and B. Klein are funded by the Australian Government to develop and provide a free national internet and telephone-delivered treatment service, the MindSpot Clinic (www.mindspot.org.au), for people with anxiety and depression.

References (55)

  • G. Andersson et al.

    Internet-based and other computerized psychological treatments for adult depression: A meta-analysis

    Cognitive Behaviour Therapy

    (2009)
  • G. Andrews et al.

    Computer therapy for the anxiety and depressive disorders is effective, acceptable and practical health care: A meta-analysis

    PLoS One

    (2010)
  • Australian Government Department of Health

    Medicare benefits schedule book

    (2013)
  • Australian Government Department of Health

    Pharmaceutical benefits schedule

    (2013)
  • C.R. Ayers et al.

    Evidence-based psychological treatments for late-life anxiety

    Psychology and Aging

    (2007)
  • A.T. Beekman et al.

    The natural history of late-life depression: A 6-year prospective study in the community

    Archives of General Psychiatry

    (2002)
  • J. Brazier

    Measuring and valuing health benefits for economic evaluation

    (2007)
  • G.A. Brenes et al.

    Anxiety, depression and disability across the lifespan

    Aging and Mental Health

    (2008)
  • A.L. Byers et al.

    High occurrence of mood and anxiety disorders among older adults: The National Comorbidity Survey Replication

    Archives of General Psychiatry

    (2010)
  • R.M. Crabb et al.

    Is computerized cognitive-behavioural therapy a treatment option for depression in late-life? A systematic review

    British Journal of Clinical Psychology

    (2012)
  • N.L. Cockayne et al.

    Internet-based treatment for older adults with depression and co-morbid cardiovascular disease: Protocol for a randomised, double-blind, placebo controlled trial

    BMC Psychiatry

    (2011)
  • P. Cuijpers et al.

    Is guided self-help as effective as face-to-face psychotherapy for depression and anxiety disorders? A systematic review and meta-analysis of comparative outcome studies

    Psychological Medicine

    (2010)
  • P. Cuijpers et al.

    Computer-aided psychotherapy for anxiety disorders: A meta-analytic review

    Cognitive Behaviour Therapy

    (2009)
  • B.F. Dear et al.

    Psychometric comparison of the Generalized Anxiety Disorder Scale-7 and the Penn State Worry Questionnaire for measuring response during treatment of generalised anxiety disorder

    Cognitive Behaviour Therapy

    (2011)
  • B.F. Dear et al.

    Internet-delivered cognitive behavioural therapy for depression: a feasibility open trial for older adults

    Australian and New Zealand Journal of Psychiatry

    (2013)
  • Dear, B. F., Zou, J., Ali, S., Lorian, C., Johnston, L., Terides, M. D., … Titov, N. (submitted). Examining self-guided...
  • S. Ewing et al.

    CCi Digital Futures 2012: The Internet in Australia

    (2012)
  • Cited by (117)

    • Economic Evaluation of Cognitive Behavioral Therapy for Depression: A Systematic Review

      2022, Value in Health
      Citation Excerpt :

      Thirty-eight included articles were published between 2004 and 2020. Most of these studies were conducted in the United Kingdom (n = 12),55,59-69 followed by the United States (n = 9),8,23,54,70-75 The Netherlands (n = 5),76-80 Australia (n = 4),56,57,81,82 Canada (n = 2),11,24 Sweden (n = 2),53,83 Germany (n = 1),25 Spain (n = 1),84 Thailand (n = 1),52 and Japan (n = 1).58 Most CUAs were based on primary data from randomized controlled trials (RCTs) (n = 26), and the remaining studies (n = 12)11,23,25,52,56-58,60,64,66,69,71 were modeling studies based on secondary data.

    • Efficacy of internet-based interventions for common mental disorder symptoms and psychosocial problems in older adults: A systematic review and meta-analysis

      2022, Internet Interventions
      Citation Excerpt :

      Seven interventions included some level of therapist involvement (Dear et al., 2015; Jones et al., 2016; Knaevelsrud et al., 2017; Silfvernagel et al., 2018; Titov et al., 2015, 2016; Tomasino et al., 2017), whereas five studies examined self-guided treatment (Cook et al., 2015; Killen and Macaskill, 2015; Proyer et al., 2014; Titov et al., 2016; Wahbeh, 2018). Eight studies tested interventions that were specifically adapted for older adults (e.g., age-appropriate case stories) (Cook et al., 2015; Dear et al., 2015; Jones et al., 2016; Knaevelsrud et al., 2017; Silfvernagel et al., 2018; Titov et al., 2015, 2016; Tomasino et al., 2017), whereas three studies evaluated interventions without adaptations (Killen and Macaskill, 2015; Proyer et al., 2014; Wahbeh, 2018). Intervention duration ranged from one week to 12 weeks (M = 7, SD = 3.19).

    • Technological Interventions for Depression

      2022, Comprehensive Clinical Psychology, Second Edition
    View all citing articles on Scopus

    The authors gratefully acknowledge the participants for their involvement and helpful comments. This research was enabled by a National Priority Driven Research Program Grant from beyondblue. The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript; or decision to submit the manuscript for publication. BFD is supported by a National Health and Medical Research Council (NHMRC) Australian Public Health Fellowship. BFD, MDT, and SA had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

    View full text