An estimated 970 million people globally are affected by a mental health condition.
Sensor-based digital health technologies (sDHTs) offer a possible path forward, enabling the continuous monitoring of behaviors and physiological signals that have the potential to transform care for mental health conditions.
This report provides insight into how sDHTs may be appropriate for capturing the symptoms of depression, anxiety, and psychosis, thus facilitating objective assessments, early intervention, and personalized treatments while outlining key technology characteristics and implementation considerations.
Matt Brown, Head of Digital Technology, Mental Health and Discovery Research, Wellcome
Researchers and clinicians
Use this report to
- Discover the value sDHTs could bring to your research or work
- Build on
current evidence and unmet needs identified by lived experience experts, researchers,
and clinicians - Plan how technologies in mental health research and care might be implemented in the future
Funders
Use this report to
- Assess opportunities for investment in the development and implementation of sDHTs in mental health
- Identify key areas for
advancement of sensor-based technologies
Developers
Use this report to
- Assess evidence supporting outcome measures, considerations, and requirements for sDHTs applied in the mental health field
- Find key technology characteristics and outlined steps for developing practical, meaningful, and fit-for-purpose solutions
Communities and people with lived experience
Use this report to
- Deepen understanding of the utility and challenges of sDHTs in mental health research
- Discover how they might be used in a more effective, accessible, and inclusive way
What’s inside the report
Mental health symptoms which are measurable with sDHTs
Technology characteristics important when using sDHTs in mental health research and care
Research and care implementation considerations to successfully use sDHTs in mental health
Barriers and challenges to implementation, with suggested mitigations to support broad adoption and use
Actionable recommendations to guide future innovation, research, development, and funding decisions
Commissioned by
In partnership with
