Randomized Effectiveness Trial of an Internet, Pure Self-Help, Cognitive Behavioral Intervention for Depressive Symptoms in Young Adults
Open accessAbstract
This study evaluated an Internet-delivered, cognitive behavioral skills training program versus a treatment-as-usual (TAU) control condition targeting depression symptoms in young adults aged 18 to 24 years. Potential participants were mailed a recruitment brochure; if interested, they accessed the study website to complete an online consent and baseline assessment. Intervention participants could access the website at their own pace and at any time. Reminder postcards were mailed periodically to encourage return use of the intervention. The pure self-help intervention was delivered without contact with a live therapist. The primary depression outcome measure was the Patient Health Questionnaire, administered at 0, 5, 10, 16, and 32 weeks after enrollment. A small but significant between-group effect was found from Week 0 to Week 32 for the entire sample (N = 160, d = .20, 95% confidence interval [CI] 0.00-0.50), with a moderate effect among women (n = 128, d .42, 95%C1 = 0.09-0.77). Greater depression reduction was associated with two measures of lower website usage, total minutes, and total number of page hits. Although intervention effects were modest, they were observed against a background of substantial TAU depression pharmacotherapy and psychosocial services. Highly disseminable, low-cost, and self-help interventions such as this have the potential to deliver a significant public health benefit.
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Specific daily tasks such as self-monitoring features (e.g. mood or symptom diary) or automated reminders are key elements for monitoring symptom improvement (Clarke et al., 2009; Wozney et al., 2017).
“Specific daily tasks such as self-monitoring features (e.g. mood or symptom diary) or automated reminders are key elements for monitoring symptom improvement and should therefore be included (Clarke et al., 2009; Wozney et al., 2017).”
From Involving patients' perspective in the development of an internet- and mobile-based CBT intervention for adolescents with chronic medical conditions: Findings from a qualitative study (2021) · cites this paper as Clarke et al., 2009
The Methods > Intervention passages describe daily mood ratings, activity tracking, and a feature for viewing depression scores over time, supporting the self-monitoring example. Methods > Assessment describes email reminders for study assessments, not automated intervention reminders for monitoring improvement. The paper does not establish that these features are key elements that should be included in interventions. (LLM, conf=0.85)
Experimental — accuracy not yet measuredOverall 76% of the studies included in the review as a whole, and all but 4 studies included in the meta-analysis, had some risk of bias.
“Overall 76% of the studies included in the review as a whole, and all but 4 studies (43, 66, 68, 74) included in the meta-analysis had some risk of bias.”
From What Works and What Doesn’t Work? A Systematic Review of Digital Mental Health Interventions for Depression and Anxiety in Young People (2019) · cites this paper as [43]
The Results (Subject Flow) describe participants in a randomized trial, and the Discussion addresses limitations of that trial, not risk of bias across studies in a review. Searches for the 76% figure and for risk of bias among studies in a meta-analysis found no passage addressing either claim. (LLM, conf=0.77)
Experimental — accuracy not yet measuredTime spent online was not correlated to outcomes in studies that targeted depression and anxiety, but was correlated to outcomes in studies of infertility related distress and body dissatisfaction.
“Time spent online was not correlated to outcomes in studies that targeted depression [58] and anxiety [59], but was correlated to outcomes in studies of infertility related distress [60] and body dissatisfaction [61].”
From A Systematic Review of the Impact of Adherence on the Effectiveness of e-Therapies (2011) · cites this paper as [58]
The number of pages opened was negatively correlated to outcome in 1 study targeting depression but positively related to outcomes in 2 studies targeting body dissatisfaction.
“The number of pages opened was negatively correlated to outcome in 1 study targeting depression [58] but positively related to outcomes in 2 studies targeting body dissatisfaction [62,63].”
From A Systematic Review of the Impact of Adherence on the Effectiveness of e-Therapies (2011) · cites this paper as [58]
The lack of change in help-seeking in the RCTs may have been due to small sample sizes, an active comparison group, mild mental health problems rather than severe symptoms, or participants having previously sought help or being currently in treatment.
“The lack of change in these studies may have been due to small sample sizes, an active comparison group [52], mild mental health problems rather than severe symptoms [79], or the fact that participants had previously sought help or were currently in treatment [78].”
From Do online mental health services improve help-seeking for young people? A systematic review (2014) · cites this paper as [52]
The quasi-experimental study found a slight but significant increase in help-seeking [52,68,78,79].
“The quasi-experimental study found a slight but significant increase in help-seeking [52,68,78,79].”
From Do online mental health services improve help-seeking for young people? A systematic review (2014) · cites this paper as [52]
Seven studies [52,53,55,63,77-79] developed the intervention that they were evaluating, which may have led to a bias towards more favorable reporting.
“Seven studies [52,53,55,63,77-79] developed the intervention that they were evaluating, which may have led to a bias towards more favorable reporting.”
From Do online mental health services improve help-seeking for young people? A systematic review (2014) · cites this paper as [52]
The majority of studies reported small sample size as a limitation.
“small sample size [51,52,55,60,68,78,79]”
From Do online mental health services improve help-seeking for young people? A systematic review (2014) · cites this paper as [52]
No change in help-seeking was found in the three RCTs [52,78,79].
“No change in help-seeking was found in the three RCTs [52,78,79].”
From Do online mental health services improve help-seeking for young people? A systematic review (2014) · cites this paper as [52]
Studies by Isen and colleagues across several patient populations found an overall relationship between change in positive affect and change in health behavior.
“A series of studies by Isen and colleagues provided a self-affirmation, coping, and positive emotion intervention to several different patient populations and found an overall relationship between positive affect change and health behavior change[12,13,14,15].”
From An online positive affect skills intervention reduces depression in adults with type 2 diabetes (2014) · cites this paper as [12]
Previous studies of online intervention for depression in the community using a CBT protocol similar to the current study reported post-treatment effect sizes averaging 1.29 and follow-up effects averaging 1.42, based on samples ranging from 45 to 300.
“An analysis of a number of previous studies of an online intervention for depression in the community and that have used a CBT protocol similar to the intervention in the current study have reported post-treatment effect sizes averaging 1.29, and follow-up effects averaging 1.42, based on samples ranging from 45 – 300 [39,42-48].”
Skills trainings for various psychological problems have increasingly and successfully been offered as scalable online-based interventions.
“Given the rising cost pressure in the mental health domain, skills trainings for various psychological problems have increasingly and successfully been offered as scalable online-based interventions (e.g., Clarke et al., 2009; Rychtarik et al., 2015).”
From Smartphone-Based Emotion Recognition Skills Training for Alexithymia—A Randomized Controlled Pilot Study (2019) · cites this paper as Clarke et al., 2009
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“But for progression of research, both studies with no-active control conditions and studies with active control conditions are necessary [13].”
It's time for disruptive innovation in psychotherapy
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- Authors
- Clarke, G., Kelleher, C., Hornbrook, M., DeBar, L., Dickerson, J., & Gullion, C.
- Affiliations
- Kaiser Permanente (US)
- Venue
- Cognitive Behaviour Therapy
- Publisher
- Informa UK Limited
- Published
- 2009-05-13
- Volume
- 38
- Issue
- 4
- Pages
- 222-234
- ISSN
- 1650-6073 (ISSN-L)
- 1651-2316
- PMC
- PMC2829099
- OpenAlex
- W2017824397
- Cited by
- 154
- References
- 47
- Citations by year
- 2026: 5 · 2025: 11 · 2024: 7 · 2023: 8 · 2022: 9 · 2021: 10 · 2020: 6 · 2019: 9 · 2018: 8 · 2017: 8 · 2016: 7 · 2015: 11 · 2014: 19 · 2013: 9 · 2012: 9
- FWCI
- 10.41
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Cognitive Behaviour Therapy (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (R24MH061422)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Keywords
- online intervention, cognitive behavioral therapy, self-help, depression, young adults, depressive symptoms, medication adherence, website usage, gender differences, dissemination, low-cost interventions
- MeSH terms
- Depressive Disorder, Female, Humans, Male, Patient Acceptance of Health Care, Self-Help Groups, Cognitive Behavioral Therapy, Internet, Young Adult
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