ArticleInternet interventions2014
Results from a trial of an unsupported internet intervention for depressive symptoms.
Article in Internet interventions, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- eHealth interventions for the prevention of depression and anxiety in the general population: a systematic review and meta-analysis.BMC psychiatry · 2017Pooled it
- A smartphone application for treating depressive symptoms: study protocol for a randomised controlled trial.BMC psychiatry · 2018Trial
- An Online Intervention for Co-Occurring Depression and Problematic Alcohol Use in Young People: Primary Outcomes From a Randomized Controlled Trial.Journal of medical Internet research · 2016Trial
- Emotional engagement and perceived empathy in live vs. automated psychological interviews.PloS one · 2025Article
- A personalized intervention to prevent depression in primary care based on risk predictive algorithms and decision support systems: protocol of the e-predictD study.Frontiers in psychiatry · 2023Article
- Feasibility and Preliminary Efficacy of a New Online Self-Help Intervention for Depression among Korean College Students' Families.International journal of environmental research and public health · 2022Article
- Can Your Phone Be Your Therapist? Young People's Ethical Perspectives on the Use of Fully Automated Conversational Agents (Chatbots) in Mental Health Support.Biomedical informatics insights · 2019Article
- Smartphone application for preventing depression: study protocol for a workplace randomised controlled trial.BMJ open · 2018Article
- Comparing Amazon Mechanical Turk with unpaid internet resources in online clinical trials.Internet interventions · 2018Article
- Microinterventions produce immediate but not lasting benefits in mood and distress.Internet interventions · 2017Article
- The effectiveness of unguided internet cognitive behavioural therapy for mixed anxiety and depression.Internet interventions · 2017Article
- Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression.Journal of medical Internet research · 2017Article
- WittyFit-Live Your Work Differently: Study Protocol for a Workplace-Delivered Health Promotion.JMIR research protocols · 2017Article
- An Internet-based program for depressive symptoms using human and automated support: a randomized controlled trial.Neuropsychiatric disease and treatment · 2017Article
- Mood management effects of brief unsupported internet interventions.Internet interventions · 2016Article
- Using Behavioral Intervention Technologies to Help Low-Income and Latino Smokers Quit: Protocol of a Randomized Controlled Trial.JMIR research protocols · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Internet interventions provide an option for those who either cannot or choose not to engage with traditional treatments. Most research on internet interventions involves guided or supported interventions. However, unsupported interventions offer considerably more scalability and cost-effectiveness, which makes them attractive for large-scale implementation. In this study, 309 participants recruited via Google AdWords entered an unsupported cognitive-behavioral internet intervention for depressive symptoms. To maximize the ecological validity of the study, participants received no incentives or live contact with study personnel. Furthermore, the study was open to individuals at any level of depressive symptoms, and all participants received the active intervention. The main outcome measures were depressive symptom level and self-efficacy in managing depressive symptoms. At follow-up, depression scores were significantly lower than baseline scores at each follow-up point (1, 2, 4, and 7 months), with pre-post effect sizes ranging from medium to large. Follow-up depression self-efficacy scores were significantly higher than baseline scores at each follow-up point, with pre-post effect sizes in the medium range. The results remained significant when analyzing only participants with depression scores indicative of a presence of a major depressive episode; results likewise remained significant when employing the conservative last observation carried forward convention, even in the presence of high attrition observed in this study. The results illustrate the potential of unsupported internet intervention to address the health needs of the global community.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.