ArticleProceedings of the ACM on human-computer interaction2021
Investigating Self-injury Support Solicitations and Responses on a Mobile Peer Support Application.
Article in Proceedings of the ACM on human-computer interaction, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed.
- Quantifying the Intensity of Online Social Support via Large Language Model-Based Evidence Extraction: Development and Validation Study.Journal of medical Internet research · 2026Article
- Development and initial test of an online self-assessment of nonsuicidal self-injury severity.Journal of affective disorders · 2025Article
- Understanding the Impacts of Online Mental Health Peer Support Forums: Realist Synthesis.JMIR mental health · 2024Article
- Young Adults' Perceptions of 2 Publicly Available Digital Resources for Self-injury: Qualitative Study of a Peer Support App and Web-Based Factsheets.JMIR formative research · 2023Article
- How Technologies Can Support Self-Injury Self-Management: Perspectives of Young Adults With Lived Experience of Nonsuicidal Self-Injury.Frontiers in digital health · 2022Article
- Developing, Deploying, and Evaluating Digital Mental Health Interventions in Spaces of Online Help- and Information-Seeking.Procedia computer science · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Online informal support networks may provide a critical source of support for young people who self-injure. While these platforms are often intended to mitigate digital harm, there is limited understanding of how individuals use peer support venues to seek self-injury related support and the specific contingencies of supportive exchanges. The present mixed-methods study was designed to explore the types of concerns members express on a mobile peer support application and the types of responses that they receive. Specifically, our aims were to (1) understand the prevalence of peer support types exchanged and (2) surface more nuanced themes within these categories of support. We also explore the relationship between support sought through posts and received through comments. Findings have important theoretical implications for understanding support seeking and provision through a mobile peer support app, which can help guide the design and optimization of peer-driven platforms for individuals who self-injure.
Indexed as
Identifiers
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.