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.

The research project 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. The basic experimental design was a two-group, two-site study design. Three different clinics with a total of 4 primary care physicians agreed and provided informed consent and participated in the study. Half of the physicians used the CDSS-D to treat patients with MDD and the other half provided Usual Care (UC) treatment.

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.

Inclusion Criteria:

• Outpatients aged 18 and over
• Met Criteria for Non-Psychotic Major Depressive Disorder
• Had a baseline HRSD-17 score of at least 14

Exclusion Criteria:

• Patients with a current Axis I diagnosis of somatization disorder, anorexia nervosa, bulimia, or obsessive-compulsive disorder
• 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