Trial reportJournal of medical Internet research2020
Smartphone-Enhanced Symptom Management In Psychosis: Open, Randomized Controlled Trial.
Trial report in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 11 of them syntheses 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
43 citing papers in PubMed, 11 syntheses or guidelines pooled it, 82 citations in OpenAlex.
- Digital Therapeutics for People with Schizophrenia Spectrum Disorders: A Systematic Literature Review of Their Effect on Symptoms and Functioning.Schizophrenia bulletin · 2026Pooled it
- Digital phenotyping and digital monitoring technologies for relapse detection in mental health: a systematic review.BMC psychiatry · 2026Pooled it
- Remote Measurement-Based Care Interventions for Mental Health: Systematic Review and Meta-Analysis.JMIR mental health · 2026Pooled it
- Efficacy of User Self-Led and Human-Supported Digital Health Interventions for People With Schizophrenia: A Systematic Review and Meta-Analysis.Schizophrenia bulletin · 2025Pooled it
- Digital health interventions for oncofertility in female patients: a systematic review.Women's health nursing (Seoul, Korea) · 2025Pooled it
- Smartphone apps for mental health: systematic review of the literature and five recommendations for clinical translation.BMJ open · 2025Pooled it
- Characteristics and Outcomes of mHealth Interventions in Psychosis: Systematic Mapping Review.Journal of medical Internet research · 2024Pooled it
- Opportunities and challenges in leveraging digital technology for mental health system strengthening: a systematic review to inform interventions in the United Arab Emirates.BMC public health · 2024Pooled it
- User Engagement With mHealth Interventions to Promote Treatment Adherence and Self-Management in People With Chronic Health Conditions: Systematic Review.Journal of medical Internet research · 2024Pooled it
- [Effect of Digital Health Interventions on Psychotic Symptoms among Persons with Severe Mental Illness in Community: A Systematic Review and Meta-Analysis].Journal of Korean Academy of Nursing · 2023Pooled it
- Mobile health in the specific management of first-episode psychosis: a systematic literature review.Frontiers in psychiatry · 2023Pooled it
- Early psychosis service user views on digital remote monitoring: a qualitative study.BMC psychiatry · 2025Trial
- Digital smartphone intervention to recognise and manage early warning signs in schizophrenia to prevent relapse: the EMPOWER feasibility cluster RCT.Health technology assessment (Winchester, England) · 2022Trial
- Feasibility of an Intervention Delivered via Mobile Phone and Internet to Improve the Continuity of Care in Schizophrenia: A Randomized Controlled Pilot Study.International journal of environmental research and public health · 2021Trial
- Preliminary clinical changes during use of a personalized video-based mobile intervention for community-dwelling individuals with severe mental illness: An exploratory randomized crossover trial.Internet interventions · 2026Article
- Response to Lewis et al. (2026): Clarifying the comparative characterization of EMPOWER in the ILIA study protocol.European archives of psychiatry and clinical neuroscience · 2026Article
- Letter to the Editor, European archives of psychiatry and clinical neuroscience 31st May 2026.European archives of psychiatry and clinical neuroscience · 2026Article
- Mobile apps for psychotic disorders: a systematic review protocol.Systematic reviews · 2026Article
- Digital lifelines, data landmines: digital mental health tools for regional and urban families in an age of surveillance.Frontiers in digital health · 2026Article
- Cross-cultural assessment of prolonged grief symptomatology in Switzerland, Rwanda, and Viet Nam: protocol for an experience sampling study.BMC psychology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundImproving recovery from acute symptoms and preventing relapse are two significant challenges in severe mental illness. We developed a personalized smartphone-based app to monitor symptoms in real time and validated its acceptance, reliability, and validity.
objectiveTo assess (i) acceptability of continuous monitoring to SMI patients and health professionals over 3 months; (ii) impact of active self-monitoring on positive psychotic symptoms assessed at 6 and 12 weeks; and (iii) the feasibility of detecting early warning signs of relapse.
methodsThe active symptom monitoring smartphone app was built into an end-to-end system in two NHS Trusts to enable real-time symptom self-monitoring and detection by the clinical team of early signs of relapse in people with severe mental illness. We conducted an open randomized controlled trial of active symptom monitoring compared to usual management to assess: (i) acceptability and safety of continuous monitoring over 3 months; (ii) impact of active self-monitoring on positive psychotic symptoms assessed at 6 and 12 weeks; (iii) feasibility of detecting early warning signs of relapse communicated to the healthcare staff via an app streaming data to the electronic health record. Eligible participants with a Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) diagnosis of schizophrenia and related disorders, and a history of relapse within the previous two years were enrolled from an early intervention team and a community mental health team.
resultsOf 181 eligible patients, 81 (45%) consented and were randomized to either active symptom monitoring or management as usual. At 12 weeks, 90% (33/36) of those in the active monitoring group continued to use the system and exhibited an adherence rate (defined as responding to >33% of alerts) of 84% (30/36}. Active symptom monitoring was associated with no difference on the empowerment scale in comparison to the usual management group at 12 weeks. The pre-planned intent-to-treat analysis of the primary outcome, a positive score on the Positive and Negative Syndrome Scale (PANSS) scale, showed a significant reduction in the active symptom monitoring group over 12 weeks in the early intervention center. Alerts for personalized early warning signs of relapse were built into the workflows of both NHS Trusts, and 100% of health professional staff used the system in a new digital workflow. Qualitative analyses supported the acceptability of the system to participants and staff.
conclusionsThe active smartphone monitoring system is feasible and was accepted by users in a 3-month study of people with severe mental illness, with surprisingly high levels of adherence. App use was associated with psychotic symptom improvement in recent-onset participants, but not those with longstanding illness, supporting the notion of improved self-management. When built into clinical management workflows to enable personalized alerts of symptom deterioration, the app has demonstrated utility in promoting earlier intervention for relapse.
trial registrationISRCTN Registry ISRCTN88145142; http://www.isrctn.com/ISRCTN88145142.
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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.