Digital Phenotyping study on Schizophrenia
Not Applicable
- Conditions
- Health Condition 1: F20- Schizophrenia
- Registration Number
- CTRI/2022/10/046200
- Lead Sponsor
- Mannki Health Services Private Ltd.
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot Yet Recruiting
- Sex
- Not specified
- Target Recruitment
- 0
Inclusion Criteria
1. Diagnosed with schizophrenia based on ICD-10 criterion
2. Having an android smartphone with internet connectivity
3. Familiarity with the android operating system
4. Sufficient abilities to use mobile phones
5. Users of WhatsApp or Facebook or any other social networking app
6. Patients with an additional diagnosis of psychoactive substance abuse/ harmful use can be included
Exclusion Criteria
1. Any user not using an Android smartphone, e.g. iOS as the primary device
2. Patients with dual diagnosis
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Bi-variate and Multivariate correlation analysis would be used to measure correlation between EMA inputs, self assessment scores (PHQ9/GAD7/WHO 5) and clinician administered PANSS.Timepoint: 3 months
- Secondary Outcome Measures
Name Time Method Streaming data from various phone sensors like accelerometer, gyroscope, magnetometer, proximity sensor, etc. will be used to compute many variables (mean, standard deviation, 75th percentile etc) and entropy features (time entropy, Shannon entropy etc.) which will be used to build various classifiers (sleep/wake, low/high physical activity, low/high social activity, etc) for predicting the mental wellbeing for each participant. Different behavioural markers (intra-day variability, intra-day stability, relative amplitude, total duration, etc.) will be computed on the users.Timepoint: Active Data: Twice a day <br/ ><br>Passive Data: Automatically