Detecting and Evaluating Childhood and Anxiety and Depression Effectively in Subspecialties (DECADES)
|Anxiety Depression||Other: Automated Psychology Services Other: Notification of Subspecialist|
|Study Design:||Allocation: Non-Randomized
Intervention Model: Parallel Assignment
Masking: Open Label
Primary Purpose: Treatment
|Official Title:||Detecting and Evaluating Childhood and Anxiety and Depression Effectively in Subspecialties|
- Utilization of endoscopy, emergency services, and radiologic services [ Time Frame: 1 Year ]Whether the patient had endoscopy scheduled, was seen in the emergency department, or had any radiologic testing
- Patient Centered Outcomes determined via patient interviews in Aim 1 of the study [ Time Frame: 1 Year ]Specific outcomes determined via patient interviews in Aim 1 of the study.
|Study Start Date:||September 2016|
|Estimated Study Completion Date:||October 2018|
|Estimated Primary Completion Date:||October 2018 (Final data collection date for primary outcome measure)|
Experimental: Usual Subspecialty Care
Once a subject is screened positive for anxiety or depression, the subspecialty provider is informed of the positive screen, and left to manage or refer the condition as per usual care by that provider.
Intervention: Depression / anxiety screen + clinician informed.
Other: Notification of Subspecialist
The automated screening tool determines a positive or negative screen, then informs the clinician.
Active Comparator: Integrated Psychology Care
Once a subject is screened positive for anxiety or depression, an automated psychology referral occurs, in addition to any intervention determined by the subspecialty provider.
Intervention: Depression / anxiety screen + clinician informed + automated psychologist visit.
Other: Automated Psychology Services
The automated screening tool determines a positive or negative screen, then informs the clinician, and also automates a psychology visit.
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Please refer to this study by its ClinicalTrials.gov identifier: NCT02773706
|Contact: William E Bennett, M.D.||email@example.com|