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| Name | Class |
|---|---|
| Janssen Research & Development, LLC | INDUSTRY |
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This study is dedicated to achieving a better understanding of how to identify patterns that indicate someone might be at high risk for relapse in schizophrenia or schizoaffective disorder. The investigators are utilizing smartphone technology along with on body sensors to achieve this goal. The study will observe participants behavior in their natural environment for a period of 16 weeks or until a signal of relapse is obtained. Participants will also complete scales in a clinical research environment biweekly.
This study will follow a group of participants who have recently been discharged from the emergency room or the hospital using several new "high-tech" methods, including the use of a smartphone, health and wellness wristbands/watches and an optional arm patch sensor. These devices (some of which are commercially available to the public for purchase), will capture ongoing physiological information including sweat gland activity, movement, skin temperature, heart rate, breathing rate, and sleep. The smart phone, and an installed application, will administer bidaily and weekly symptom assessment, track the general location of the participant, and collect statistics about text messaging and cell phone use.
In addition to the on-body devices participants will come into the clinical research office to complete clinical scales every other week. These scales will be used to determine symptom exacerbation or relapse. This signature will then be utilized as a marker to examine the data collected from the devices.
The investigators hope to go beyond clinical evaluation and identify a signature of relapse that is reliably detected from on body devices in a natural setting. This would cut down on the time it takes to successfully treat psychotic illnesses and would reduce the amount of pain and and suffering experienced by patients during relapse.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| schizophrenia/schizoaffective disorder | Participants with schizophrenia/schizoaffective disorder. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| schizophrenia/schizoaffective disorder. | Device | Participants with schizophrenia/schizoaffective disorder will be observed remotely and at weekly/biweekly laboratory visits over a period of 16 weeks or until relapse occurs. |
| Measure | Description | Time Frame |
|---|---|---|
| Relapse or exacerbation of symptoms in schizophrenia/schizoaffective disorder | To determine patterns of risk for relapse appropriate model will be used considering factors such as, but not limited to, medication compliance, accelerometry / physical activity, skin temperature, continuity of sleep, duration of sleep, engagement with others through text and talk, changes in geographic range, daily questionnaire responses, cognitive symptom, impulsivity and psychosocial functioning scales. | up to 16 weeks |
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Inclusion Criteria:
Exclusion Criteria:
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schizophrenia/schizoaffective disorder
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| Name | Affiliation | Role |
|---|---|---|
| Adrienne C Lahti, MD | University of Alabama at Birmingham | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Alabama at Birmingham | Birmingham | Alabama | 35294 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 34383682 | Derived | Lahti AC, Wang D, Pei H, Baker S, Narayan VA. Clinical Utility of Wearable Sensors and Patient-Reported Surveys in Patients With Schizophrenia: Noninterventional, Observational Study. JMIR Ment Health. 2021 Aug 9;8(8):e26234. doi: 10.2196/26234. |
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| ID | Term |
|---|---|
| D012559 | Schizophrenia |
| D011618 | Psychotic Disorders |
| ID | Term |
|---|---|
| D019967 | Schizophrenia Spectrum and Other Psychotic Disorders |
| D001523 | Mental Disorders |
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