Efficacy Study of a Computer Decision Support System to Treat Depression
NCT00551083 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 60
Last updated 2007-10-30
Summary
The purpose of this study was designed to test the feasibility and effectiveness of implementing a Computerized Decision Support System for depression (CDSS-D) during acute care in a primary care setting.
Conditions
- Depressive Disorder
Interventions
- OTHER
-
Computerized Decision Support System for Depression (CDSS-D)
The CDSS for depression was based on an up-to-date model of the Texas Medication Algorithm Project that employs the principles of Measurement Based Care (MBC), while at the same time having a user interface for providers that is easy-to-use. MBC is the systematic use of measuring clinical outcomes at routine visits to guide treatment management. These outcomes may include symptoms, side effects, and medication adherence. Recent efforts from the large, multi-site effectiveness study, Sequenced Treatment Alternatives to Relieve Depression (STAR\*D), show that a treatment plan guided by MBC is integral in implementing algorithm based care.
- OTHER
-
Usual Care (UC)
Usual Care was up to the discretion of the study physician and the patient treated. These physicians were provided with up-to-date treatment protocols for depression, but were not instructed to strictly adhere to a treatment algorithm. Therefore, they treated depressed patients as they "usually" would.
Sponsors & Collaborators
- collaborator INDUSTRY
-
University of Texas Southwestern Medical Center
lead OTHER
Principal Investigators
-
Madhukar H. Trivedi, M.D. · University of Texas Southwestern Medical Center
Study Design
- Allocation
- NON_RANDOMIZED
- Purpose
- TREATMENT
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2005-03-31
- Completion
- 2006-06-30
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