ArticleProcedia computer science2022
System design of a text messaging program to support the mental health needs of non-treatment seeking young adults.
Article in Procedia computer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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
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Who cites it
7 citing papers in PubMed.
- Framing Helper Therapy to Support User Engagement: Causal Evidence from a Public Deployment of a Mental Health Support Text Messaging Program.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2026Article
- Investigating the Role of Situational Disruptors in Engagement with Digital Mental Health Tools.CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work · 2025Article
- Designing Digital Mental Health Interventions to Meet the Needs of Older Adolescents: Qualitative Interview and Group Discussion Study.JMIR formative research · 2025Article
- Small Steps over time: A longitudinal usability test of an automated interactive text messaging intervention to support self-management of depression and anxiety symptoms.Journal of affective disorders · 2024Article
- A text messaging intervention to support the mental health of young adults: User engagement and feedback from a field trial of an intervention prototype.Internet interventions · 2023Article
- Investigating the Role of Context in the Delivery of Text Messages for Supporting Psychological Wellbeing.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2023Article
- Text Messages for Depression, Anxiety and Alcohol Abuse Therapy-Are Construction Guidelines Needed?International journal of environmental research and public health · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Young adults (ages 18-25) experience the highest levels of mental health problems of any adult age group, but have the lowest mental health treatment rates. Text messages are the most used feature on the mobile phone and provide an opportunity to reach non-treatment engaged users throughout the day in a conversational manner. We present the design of an automated text message-based intervention for symptom self-management. The intervention comprises: (1) psychological strategies (i.e., types of evidence-based techniques leveraged to achieve symptom reduction) and (2) interaction types or the form that intervention content takes as it is delivered to and elicited from users.
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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.