C4C: Sleepsight - remote sleep monitoring in psychosis. | C4C

  • Applicant: Nicholas Meyer
  • Project ID: 15-097

We would like to use CRIS to identify and recruit consenting participants with stable schizophrenia, living in their homes. Around 80% of individuals who develop schizophrenia will experience at least one further episode within five years of the first episode. Each episode of relapse carries serious implications for the sufferer and their carers. Early detection and prevention are therefore important goals in reducing the burden associated with schizophrenia, however no clinically useful, objective methods of detecting relapse exist. There is clinical consensus that sleep disturbance is commonly observed in relapse, and monitoring of sleep-wake activity may therefore serve as an effective early warning sign. In a pilot study, we are monitoring sleep-wake patterns using a proprietary, commercially available wrist-worn activity tracker (a Fitbit) communicating wirelessly with a smartphone. Data will be uploaded automatically and securely via the smartphone to the research team.

The Clinical Record Interactive Search (CRIS) system is a computer system that allows researchers at the NIHR Maudsley Biomedical Research Centre (BRC) to carry out research using information from South London and Maudsley NHS Foundation Trust clinical records.

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The Clinical Record Interactive Search has been developed in collaboration with:

South London and Maudsley NHS Foundation Trust
NIHR Maudsley BRC