Elsevier

Behaviour Research and Therapy

Volume 75, December 2015, Pages 20-31
Behaviour Research and Therapy

A randomized controlled trial of an internet-delivered treatment: Its potential as a low-intensity community intervention for adults with symptoms of depression

https://doi.org/10.1016/j.brat.2015.10.005Get rights and content

Highlights

  • The study demonstrated the potential of an internet-delivered treatment with support in a community sample.

  • It gives support to a model for delivering population-wide internet-interventions for depression using trained supporters.

  • The volunteers' community of practice may be significant for the success of internet-interventions in the community.

  • Dose and response in internet-delivered interventions is an area that requires further research.

Abstract

Background

Internet-delivered treatments for depression have proved successful, with supported programs offering the potential for improved adherence and outcomes. Internet interventions are particularly interesting in the context of increasing access to interventions, and delivering interventions population-wide.

Methods

The study was a randomized controlled trial of an 7-module internet-delivered cognitive behavioral therapy (iCBT) program for adults with depressive symptoms (n = 96) compared to a waiting-list control group (n = 92). Participants received weekly support from a trained supporter. The primary outcome was depressive symptoms as measured by the Beck Depression Inventory (BDI-II). The program was made available nationwide from an established and recognized charity for depression.

Results

For the treatment group, post-treatment effect sizes reported were large for the primary outcome measure (d = 0.91). The between-group effects were moderate to large and statistically significant for the primary outcomes (d = 0.50) favoring the treatment group. Gains were maintained at 6-month follow-up.

Conclusion

The study has demonstrated the efficacy of the internet-delivered Space from Depression treatment. Participants demonstrated reliable and statistically significant changes in symptoms from pre-to post-intervention. The study supports a model for delivering online depression interventions population-wide using trained supporters.

Trial registration number: Current Controlled Trials ISRCTN03704676. http://dx.doi.org/10.1186/ISRCTN03704676.

Introduction

Depression has been ranked among the leading causes of disease burden throughout the world (Mathers & Loncar, 2006), with high rates of lifetime incidence, early age onset, high chronicity, and role impairment (Richards, 2011). Twelve-month prevalence rates for depression have been estimated at 6.6% in the US (Kessler et al., 2003), 8.5% in Europe and 10.3% in Ireland (Ayuso-Mateos et al., 2001). Further, an overall 12-month prevalence rate of 12.3% for older adults (65+) in Europe has been reported and in Ireland the reported 12-month prevalence has been estimated at 11.9% (Copeland et al., 2004).

Epidemiological studies of the occurrence of depression have highlighted younger age groups, with 15–29 years identified as the peak age of onset (Craighead, Sheets, Brosse, & Ilardi, 2007), suggesting that lifetime prevalence will be higher among future cohorts (Craighead et al., 2007). Prevalence rates are higher for females than males (Ayuso-Mateos et al., 2001, Copeland et al., 2004, Ohayon, 2007) and depression exacts significant economic, personal, intra-personal and societal costs, and is associated with losses in quality of life and increased mortality rates (Cuijpers et al., 2007, Rapaport et al., 2005).

Antidepressants are commonly used to treat depression, however relapse is high following cessation, and many patients prefer psychological therapies (Van Schaik, Klijn, & van Hout, 2004), which have proved equally effective as antidepressants (Cuijpers, van Straten, van Oppen, & Andersson, 2008). Cognitive Behavior Therapy (CBT) is the most extensively researched psychological therapy for depression (National Institute for Health and Clinical Excellence, 2006), and has been shown to maintain post-treatment gains and reduce the risk of future relapses and recurrences of depression (Hollon & DeRubeis, 2006).

Accessing evidence-based treatments such as cognitive behavior therapy can be problematic. The worldwide treatment gap in depression has been estimated at 56.3% (Kohn, Saxena, Levav, & Saraceno, 2004). Several barriers such as waiting lists, cost and/or physical difficulties in accessing services, and personal obstacles such as stigma, lack of motivation for change, negative perception of psychological and/or drug treatments play an important role in choosing to seek diagnosis and access treatment (Kohn et al., 2004, Mohr et al., 2010).

Difficulties in accessing evidence-based treatments are universal and in Ireland, for instance, people with depression encounter additional barriers due to a shortage of trained professionals alongside the relative underdevelopment of health services, which are cause for concern (Department of Health and Children, 2006). The fact that less than one third of GPs have training in psychological therapies is also of concern, especially considering that many people will initially bring their psychological difficulties to their primary care physician (Grandes, Montoya, Arietaleanizbeaskoa, Arce, & Sánchez, 2011). More recently, it has been reported that less than 20% of patients presenting to GPs with mental health difficulties are in receipt of specialist services (Hughes et al., 2010, Tedstone-Doherty et al., 2008).

Recent attempts to overcome barriers to accessing treatment involve the evolution of a new understanding in mental healthcare that recognizes both high-intensity (e.g. face-to-face therapy) and low-intensity (e.g. bibliotherapy) interventions to meet different levels of users' needs. Services deliver interventions in a stepped-care model, matching the level of intensity to a patient's presenting needs and to maximize the use of resources. Low-intensity interventions signify treatments that limit specialist therapist time, or use this time in a cost effective manner, for example, group treatments (Bennett-Levy, Richards, & Farrand, 2010). The Irish Health Service Executive (Health Service Executive, 2012) advocate for the implementation of a stepped-care model.

In the UK, The Improving Access to Psychological Therapies (IAPT) program has successfully implemented such a stepped-care model (Clark et al., 2009). However, in many countries access is severely constrained, and even where stepped care models are implemented, there is a need to expand the evidence base regarding different forms of scalable low-intensity intervention. Given the continued growth in high prevalence disorders (depression and anxiety disorders) there is a real need to increase access.

Clinician-guided and self-administered internet-delivered CBT for specific disorders, are one of a range of interventions that have proved a suitable evidence-based option for integration as a low-intensity intervention within a stepped care model (Bennett-Levy, Richards, Farrand, et al., 2010). Internet-delivered interventions have demonstrated their effectiveness in treating depression (Richards & Richardson, 2012). The provision of human support yields enhanced results compared to unsupported interventions (Andersson and Cuijpers, 2009, Richards and Richardson, 2012).

To date, a number of small-scale studies of internet-delivered treatments have been conducted in Ireland (Richards et al., 2013, Sharry et al., 2013). However, larger community based projects are necessary to assess the effectiveness and scalability of such low-intensity interventions.

While other internet-delivered interventions exist and have shown promise the SilverCloud Space from Depression program has been developed specifically to address historical difficulties with engagement in internet-delivered interventions. The design of the platform was based using user-centered processes (Doherty, Coyle, & Matthews, 2010), and embeds a number of features designed to improve engagement, which have previously been categorized as Social, Interactive, Personal, and Supportive (Doherty et al., 2010).

The aim of this study was to demonstrate the effectiveness and potential of a novel, evidence-based internet-delivered intervention (Space from Depression) as a low-intensity community-based treatment for depression. The present paper reports on the main outcomes from the Irish national randomized control trial of the intervention (Space from Depression1).

Aware is a charity that aims to create a society where those with depression or related mood disorders, and their families, are understood and supported, are free from stigma and have access to a broad range of support options. Their objectives are 1) to provide information and educate people about depression and mood disorders, 2) provide emotional and practical support to individuals and their families and, 3) to support research into understanding and treating depression.

They achieve their objectives through the provision of face-to-face support groups, an online support group, and a low-cost telephone line, all of which are manned by trained volunteers. Aware is a well-recognized and respected brand name in Ireland, with a high number of users nationally. Therefore they are well placed to collaborate in providing a low-intensity depression treatment for the community that will include support for participants.

Section snippets

Design

The study was a randomized controlled trial in which participants were randomized into two groups: 1) the internet-delivered Space from Depression intervention with support and 2) a waiting-list control group.

Research question and hypothesis

The research investigated if Space from Depression, a supported internet-delivered treatment is effective as a low-intensity community-based intervention for adults with depression. Based on previous successes with supported online treatments for depression (Richards & Richardson, 2012),

Screening measure

Sociodemographic Information & History Questionnaire was developed, based on a previous version (Richards et al., 2013) to collect demographic details on the participants. The items on the questionnaire collected data on the presence of a previous diagnosis of depressive disorders, duration of depression symptoms, experience of counseling/therapy and prescription of medication for depression. The presence of a previous diagnosis of an organic mental health disorder and comorbid psychosis, drug

Baseline characteristics

Chi Square tests revealed that at post-randomization (Table 1), there were no significant differences in the sample between the treatment group (TG) and waiting list control group (WL) on any variables. Further on baseline BDI-II scores there were no significant differences between those considered per protocol research completers (M = 20.91, S.D. = 4.03, n = 139) and those non-completers (M = 20.73, S.D. = 3.87, n = 49), χ2(14) = 21.641, p = <0.05.

Table 1 details the characteristics of the

Discussion

The aim of the paper was to evaluate the effectiveness of a newly developed internet-delivered treatment for depressive symptoms (Space from Depression) in a national community sample of adults. The primary outcome measure (BDI-II) assessed depressive symptoms. The results show that the active treatment caused statistically significant decreases in depressive symptoms post-intervention, and these were maintained at 3-month and at 6-month follow-up. The results from the present study show that

Conclusion

The current study showed that the internet-delivered cognitive-behavior therapy program – Space from Depression – could be employed as a population level intervention for mild to moderate symptoms of depression and was effective in improving symptoms of depression and anxiety among many of its users. Importantly, outcomes from the treatment group were maintained into follow up. The figures for reliable change are positive and can be considered appropriate for community-based interventions. The

Conflict of interest

The authors declare no conflict of interest. Derek Richards is Director of Clinical Research and Innovation at SilverCloud Health. Derek Richards is also Research Fellow, School of Psychology, Trinity College Dublin (TCD) and adheres to both research ethics and TCD policy on good research practice.

Acknowledgments

The authors wish to thank all the participants who took part in the research study, and the supporters at Aware. The trial was jointly funded from resources provided by SilverCloud Health Ltd. and Aware Charity, Ireland. The authors wish to thank colleagues at SilverCloud Health and Aware for their support and work on this trial.

References (60)

  • D. Richards et al.

    Computer-based psychological treatments for depression: a systematic review and meta-analysis

    Clinical Psychology Review

    (2012)
  • L.B. Seggar et al.

    Assessing clinical significance: application to the Beck Depression Inventory

    Behavior Therapy

    (2002)
  • R.A. Steer et al.

    Use of the Beck Depression Inventory-II with depressed geriatric inpatients

    Behaviour Research & Therapy

    (2000)
  • D. Van Schaik et al.

    Patients preferences in the treatment of depressive disorders in primary care

    General Hospital Psychiatry

    (2004)
  • L. Warmerdam et al.

    Online cognitive behavioral therapy and problem-solving therapy for depressive symptoms: exploring mechanisms of change

    Journal of Behavior Therapy and Experimental Psychiatry

    (2010)
  • American Psychiatric Association [APA]

    Diagnostic and statistical manual of mental disorders (DSM-IV-TR)

    (2000)
  • 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.

    Up-scaling clinician assisted internet cognitive behavioural therapy (iCBT) for depression: a model for dissemination into primary care

    Clinical Psychology Review

    (2014)
  • 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)
  • R.C. Arnau et al.

    Psychometric evaluation of the Beck Depression Inventory-II with primary care medical patients

    Health Psychology

    (2001)
  • J.L. Ayuso-Mateos et al.

    Depressive disorders in Europe: prevalence figures from the ODIN study

    British Journal of Psychiatry

    (2001)
  • A.T. Beck et al.

    Manual for the BDI-II

    (1996)
  • J. Bennett-Levy et al.

    Low intensity CBT interventions: a revolution in mental healthcare

  • J.R. Copeland et al.

    Depression among older people in Europe: the EURODEP studies

    World Psychiatry

    (2004)
  • W.E. Craighead et al.

    Psychosocial treatments for major depressive disorder

  • P. Cuijpers et al.

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

    Cognitive Behaviour Therapy

    (2009)
  • P. Cuijpers et al.

    Internet interventions for depressive disorders: a review

    Revista de Psicopatología y Psicología Clínica

    (2015)
  • P. Cuijpers et al.

    Economic costs of minor depression: a population-based study

    Acta Psychiatrica Scandinavica

    (2007)
  • P. Cuijpers et al.

    Are psychological and pharmacological interventions equally effective in the treatment of adult depressive disorders? A meta-analysis of comparative studies

    Journal of Clinical Psychiatry

    (2008)
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