SynthesisCurrent psychiatry reports2018
Measuring Psychiatric Symptoms Remotely: a Systematic Review of Remote Measurement-Based Care.
Synthesis in Current psychiatry reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 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
34 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Remote Measurement-Based Care Interventions for Mental Health: Systematic Review and Meta-Analysis.JMIR mental health · 2026Pooled it
- How Are Information and Communication Technologies Supporting Routine Outcome Monitoring and Measurement-Based Care in Psychotherapy? A Systematic Review.International journal of environmental research and public health · 2020Pooled it
- Relationships between smartphone social behavior and relapse in schizophrenia: A preliminary report.Schizophrenia research · 2019Trial
- Patient Preferences for Technology-Assisted Patient-Reported Outcomes Measurement of Mental Health Symptoms Among Veterans: Cross-Sectional Survey.Journal of participatory medicine · 2026Article
- Digital tools for assessing bipolar disorder: A scoping review of the current landscape.Neuroscience applied · 2026Article
- Remote Patient Monitoring and Connected Technologies in Inflammatory Bowel Disease.Gastroenterology & hepatology · 2025Article
- Ecological Momentary Assessment in Palliative Care: A Qualitative Study of Patient and Clinician Perspectives.The American journal of hospice & palliative care · 2025Article
- Mental health provider perspectives on a mobile health application to support remote measurement-based care: Challenges and impacts.Psychological services · 2025Article
- Pre-implementation patient, provider, and administrator perspectives of remote measurement-based care in a safety net outpatient psychiatry department.Learning health systems · 2025Article
- Forecasting mental states in schizophrenia using digital phenotyping data.PLOS digital health · 2025Article
- Digital health monitoring for adults with treatment-resistant depression: Observational feasibility study protocol.PloS one · 2025Article
- A literature review of remote mental health screening: barriers, potential solutions, and tools.Frontiers in digital health · 2025Review
- Integrating Patient-Generated Digital Data Into Mental Health Therapy: Mixed Methods Analysis of User Experience.JMIR mental health · 2024Article
- Putting measurement-based care into action: a multi-method study of the benefits of integrating routine client feedback in coordinated specialty care programs for early psychosis.BMC psychiatry · 2024Article
- Determinants of remote measurement-based care uptake in a safety net outpatient psychiatry department as part of learning health system transition.Learning health systems · 2024Article
- Veteran Experiences With an mHealth App to Support Measurement-Based Mental Health Care: Results From a Mixed Methods Evaluation.JMIR mental health · 2024Article
- Machine-Learning-Based Prediction of Client Distress From Session Recordings.Clinical psychological science : a journal of the Association for Psychological Science · 2024Article
- Putting measurement-based care into action: A mixed methods study of the benefits of integrating routine client feedback in coordinated specialty care programs for early psychosis.Research square · 2024Article
- Validation of Machine Learning-Based Assessment of Major Depressive Disorder from Paralinguistic Speech Characteristics in Routine Care.Depression and anxiety · 2024Article
- Remote measurement based care (RMBC) interventions for mental health-Protocol of a systematic review and meta-analysis.PloS one · 2024Article
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
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewThis article systematically reviews studies examining remote measurement-based care (RMBC), defined as using technology to measure patients' psychiatric symptoms outside the context of a clinical encounter. RECENT
findingsThirty-six studies were identified that measured patients' psychiatric symptoms remotely and provided feedback to treatment providers. The majority were single group designs. There was evidence supporting the short-term feasibility and acceptability of RMBC, although long-term sustainability was less clear. Thirteen randomized controlled trials were identified. RMBC was typically implemented as part of a multicomponent intervention (e.g., internet-based cognitive behavioral therapy with feedback to provider). Three studies experimentally isolated the clinical effects of RMBC, with two reporting no statistically significant differences between the RMBC and control conditions and one reporting greater symptom improvement associated with RMBC. RMBC appears feasible and acceptable and may be a promising intervention for improving mental health care, but additional experimental studies are needed.
Indexed as
Identifiers
30155749What 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.