ReviewBMJ digital health & AI2025
Next-generation wearable sensors for biopsychosocial care in mental health: a narrative review.
Review in BMJ digital health & AI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Applying a causal biopsychosocial model to guide medicine and psychiatry fifty years after Engel.Communications medicine · 2026Review
- The PTSD-Bone Axis: Evidence, Mechanisms, and Management.Current osteoporosis reports · 2026Review
- Digital biomarkers for brain health: passive and continuous assessment from wearable sensors.NPJ digital medicine · 2026Article
- Reimagining paediatric care: technology, trust, and the global movement for child-centred innovation.Frontiers in medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
12% of the global population experiences mental disorders, contributing to a growing public health crisis. Cognitive-behavioural therapy and interpersonal therapy, combined with pharmacological treatment when indicated, are considered the treatment of choice. However, these classical care approaches are restricted in accessibility and rely primarily on subjective assessments. Next-generation wearable devices enable continuous and lab-independent sensing of biophysical, biochemical, acousto-mechanical and socioenvironmental sources, providing a deeper understanding of a person in its relevant environment. A growing number of studies are demonstrating that these next-generation wearable devices can provide added value in several mental health disorders such as depression, anxiety and schizophrenia. This comprehensive wearable device-generated evidence can be seamlessly integrated into face-to-face and novel therapeutic approaches such as telemental health services, digital therapeutics, including just-in-time-adaptive interventions. Thus, next-generation wearable devices enable and foster biopsychosocial care in mental health.
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.