Psychiatric Disorders Mood Clinical Trial
Official title:
The Analysis of Physical Physiological and Behavioral Data Collected From Sensors That Track the Mental Condition of Psychiatric Patients Who Are at Risk for Relapse and Who do Not Abide With Their Medication Treatment
An observational study that uses a digital system to collect physiological, physical and behavioral data using worn sensors on psychiatric patients suffering from schizophrenia, bipolar and schizoaffective disorders. The system will enable to analyze the data using a personal digital algorithm in order to detect changes in mental condition and or changes in adherence to medication treatment, and assist in identification of illegal drug usage.
An observational study that uses a digital system to collect physiological, physical and
behavioral data using worn sensors on psychiatric patients suffering from schizophrenia,
bipolar and schizoaffective disorders. It is a known fact that patients suffering from these
disorders are more prone to changes in their mental health condition. Sometimes this change
is due to change in medical treatment(whether it was the doctor's decision or low adherence
to medication treatment).The mental health condition influences physiological, physical and
behavioral aspects which could be detected through the personal digital algorithm and could
prevent psychiatric deterioration. For example, in a case of a person in a manic episode
investigators would expect to find changes in the personal digital algorithm in physiological
aspects(increased heart rate, elevated Heart Rate Variability), physical aspects such as
increased number of steps per day, and behavioral aspects(increased hours spent outside of
home, excessive activity). An early detection can help in the prevention of psychiatric
deterioration in this case and help minimize the suffering caused to the patient and
caregivers and perhaps assist in minimizing the need for hospitalization.
The data will be collected using wrist watches. The sensors will collect the physiological
data(Heart Rate Variability), physical data(number of steps per day) and the behavioral
data(quality of sleep). This data will then be collected and analyzed through big data
analysis.
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| Status | Clinical Trial | Phase | |
|---|---|---|---|
| Completed |
NCT03736057 -
Genetic Evaluation for Medication Selection (GEMS) Study
|
||
| Recruiting |
NCT05355337 -
Pramipexole for Anhedonic Depression
|
Phase 3 |