Efficacy Study of a Computer Decision Support System to Treat Depression
NCT ID: NCT00551083
Last Updated: 2007-10-30
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
60 participants
INTERVENTIONAL
2005-03-31
2006-06-30
Brief Summary
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Detailed Description
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The intervention, CDSS-D, incorporated a pre-existing depression treatment algorithm (Texas Medication Algorithm Project for Depression, Trivedi et al) with computer decision support programming, providing the treatment group physicians with a computerized algorithm.
Conditions
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Study Design
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NON_RANDOMIZED
PARALLEL
TREATMENT
NONE
Study Groups
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CDSS-D
Computer Decision Support System for Depression (CDSS-D) - This arm provided physicians with a computerized treatment algorithm and a decision support system to treat their patients suffering Major Depressive Disorder
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.
UC
Usual Care (UC) - This group of physicians treated their patients suffering from Major Depressive Disorder with their standard treatment as usual, and received no algorithm support with regard to treatment decisions
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.
Interventions
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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.
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.
Eligibility Criteria
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Inclusion Criteria
* Met Criteria for Non-Psychotic Major Depressive Disorder
* Had a baseline HRSD-17 score of at least 14
Exclusion Criteria
* Patients with current alcohol or substance dependence
* Women with a positive pregnancy test or who are lactating
* Women of child-bearing potential who are not practicing a clinically accepted method of contraception
* Patients with general medical conditions that contraindicate antidepressant medications
* Patient whose clinical status requires inpatient or day hospital treatment
18 Years
ALL
No
Sponsors
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Pfizer
INDUSTRY
University of Texas Southwestern Medical Center
OTHER
Principal Investigators
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Madhukar H. Trivedi, M.D.
Role: PRINCIPAL_INVESTIGATOR
University of Texas Southwestern Medical Center
References
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Kurian BT, Trivedi MH, Grannemann BD, Claassen CA, Daly EJ, Sunderajan P. A computerized decision support system for depression in primary care. Prim Care Companion J Clin Psychiatry. 2009;11(4):140-6. doi: 10.4088/PCC.08m00687.
Other Identifiers
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R01 MH-164062-01A1
Identifier Type: -
Identifier Source: secondary_id
S1143107
Identifier Type: -
Identifier Source: org_study_id