ArticlePloS one2019
Young adults' perceptions of using wearables, social media and other technologies to detect worsening mental health: A qualitative study.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 5 of them syntheses that pooled it.
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
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.
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Who cites it
32 citing papers in PubMed, 5 syntheses or guidelines pooled it, 74 citations in OpenAlex.
- Perceptions on mental health and depression by adolescents, a systematic review of qualitative studies.BMC public health · 2025Pooled it
- Utility of Consumer-Grade Wearable Devices for Inferring Physical and Mental Health Outcomes in Severe Mental Illness: Systematic Review.JMIR mental health · 2025Pooled it
- Youth engagement in mental health research: A systematic review.Health expectations : an international journal of public participation in health care and health policy · 2023Pooled it
- Self-Management of Subclinical Common Mental Health Disorders (Anxiety, Depression and Sleep Disorders) Using Wearable Devices.International journal of environmental research and public health · 2023Pooled it
- Detecting signs of deterioration in young patients with serious mental illness: a systematic review.Systematic reviews · 2021Pooled it
- [Digital applications in the treatment of adolescent patients with borderline personality disorder].Der Nervenarzt · 2026Review
- Co-production in sleep research: A scoping review of current practices and future directions.Journal of sleep research · 2025Article
- The Digital Therapeutic Alliance With Mental Health Chatbots: Diary Study and Thematic Analysis.JMIR mental health · 2025Article
- A Survey of Preferences for Sensing Technologies in People with Severe Mental Illness Admitted to an Acute Psychiatric Unit.Annals of biomedical engineering · 2025Article
- Students' Perceptions of Learning Analytics for Mental Health Support: Qualitative Study.JMIR formative research · 2025Article
- Neuro-Nutrition and Exercise Synergy: Exploring the Bioengineering of Cognitive Enhancement and Mental Health Optimization.Bioengineering (Basel, Switzerland) · 2025Review
- Anything goes for participant, patient and public involvement in youth mental health research.JCPP advances · 2024Article
- Benefits, barriers and recommendations for youth engagement in health research: combining evidence-based and youth perspectives.Research involvement and engagement · 2024Review
- Change, Adversity, and Adaptation: Young People's Experience of the COVID-19 Pandemic Expressed through Artwork and Semi-Structured Interviews.International journal of environmental research and public health · 2024Article
- A collaborative realist review of remote measurement technologies for depression in young people.Nature human behaviour · 2024Review
- Evaluating the Effectiveness of the SleepTracker App for Detecting Anxiety- and Depression-Related Sleep Disturbances.Sensors (Basel, Switzerland) · 2024Article
- A service evaluation of passive remote monitoring technology for patients in a high-secure forensic psychiatric hospital: a qualitative study.BMC psychiatry · 2023Article
- 'Building bridges': reflections and recommendations for co-producing health research.Research involvement and engagement · 2023Article
- The Feasibility of Using Smartphone Sensors to Track Insomnia, Depression, and Anxiety in Adults and Young Adults: Narrative Review.JMIR mHealth and uHealth · 2023Review
- School-based screening for childhood anxiety problems and intervention delivery: a codesign approach.BMJ open · 2022Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundTechnological interventions may help support and improve mental health. However young peoples' perspectives on using different technologies to detect deteriorating mental health in those already diagnosed with a mental health condition is lacking. The study aim was to explore the perspectives of young patients on the feasibility and acceptability of using wearables, social media and technologies to detect mental health deterioration.
methodsThe study was co-produced with young adults with past mental health difficulties. Semi-structured interviews were conducted with young adults with a severe mental health condition in a private room at a community mental health site. Data was triangulated by comparing codes and ideas across the two co-researchers and two researchers over two virtual meetings. Themes were finalised and presented in a thematic map.
resultsSixteen participants were interviewed (81% female). There were four main themes: dealing with mental health symptoms, signs of mental health deterioration, technology concerns and technological applications to identify worsening mental health. Wearables and mobile apps were considered acceptable and feasible to detect mental health deterioration in real-time if they could measure changes in sleep patterns, mood or activity levels as signs of deterioration. Getting help earlier was deemed essential particularly in reference to dissatisfaction with the current non-technological mental health services. However, patients identified issues to consider before implementation including practicality, safeguarding and patient preference.
conclusionWearables and mobile apps could be viable technological options to help detect deterioration in young people in order to intervene early and avoid delay in accessing mental health services. However, immediate action following detection is required for the patient to trust and use the intervention.
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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.