Automated Monitoring of Symptoms Severity (AMoSS)
Research type
Research Study
Full title
Automated Monitoring of Symptoms Severity (AMoSS): remote assessment of mental disorders symptom severity in bipolar disorder and borderline personality disorder with reference to age and gender matched healthy controls
IRAS ID
134223
Contact name
Guy Goodwin
Contact email
Sponsor organisation
University of Oxford
Research summary
Mood instability is a cardinal feature of both Bipolar disorder (BD aka ‘manic depression’) and Borderline Personality disorder (BPD). However, mood instablilty is difficult to record and measure reliably (particularly due to a reliance on recall of past mood states) and has rarely been the focus for treatment. This has meant that the clinical emphasis has been on acute episodes of BD and the behavioural crises of BPD. Arguably this has been to the disadvantage of patients, for whom managing mood stability in the time between such acute break-downs may be critical for a more benign course of illness\n\nWe plan to use mobile phone technology to record mood changes as they happen in order to gain a better insight into the day-to-day experiences of patients. \n\nWe will compare the data from our two clinical groups with healthy age matched controls to whether the groups can be distinguished on the basis of tthe submitted data and explore the extent to which these objective measures can replace subjective/self report measures in predicting longitudinal outcomes. \n
REC name
East of England - Cambridgeshire and Hertfordshire Research Ethics Committee
REC reference
13/EE/0288
Date of REC Opinion
25 Sep 2013
REC opinion
Further Information Favourable Opinion