A Randomized Trial Using Computerized Decision Support to Improve Treatment of Major Depression in Primary Care.

摘要

OBJECTIVE: To examine whether feedback and treatment advice for depression presented to primary care physicians (PCPs) via an electronic medical record (EMR) system can potentially improve clinical outcomes and care processes for patients with major depression. DESIGN: Randomized controlled trial. SETTING: Academically affiliated primary care practice in Pittsburgh, PA. PATIENTS: Two hundred primary care patients with major depression on the Primary Care Evaluation of Mental Disorders (PRIME-MD) and who met all protocol-eligibility criteria. INTERVENTION: PCPs were randomly assigned to 1 of 3 levels of exposure to EMR feedback of guideline-based treatment advice for depression: "active care" (AC), passive care Patients' 3- and 6-month Hamilton Rating Scale for Depression (HRS-D) score and chart review of PCP reports of depression care in the 6 months following the depression diagnosis. Only 22% of patients recovered from their depressive episode at 6 months (HRS-D /=3 contacts with usual PCP at 6 months: 31% AC, 31% PC, 18% UC; P =.09 and antidepressant medication suggested/prescribed or baseline regimen modified at 6 months: 59% AC, 57% PC, 52% UC; P =.3). CONCLUSIONS: Screening for major depression, electronically informing PCPs of the diagnosis, and then exposing them to evidence-based treatment recommendations for depression via EMR has little differential impact on patients' 3- or 6-month clinical outcomes or on process measures consistent with high-quality depression care.