Impacts of Evidence-Based Quality Improvement on Depression in Primary Care
A Randomized Experiment
Published in: Journal of General Internal Medicine, v. 21, no. 10, Oct. 2006, p. 1027-1035
Posted on RAND.org on January 01, 2006
CONTEXT: Previous studies testing continuous quality improvement (CGI) for depression showed no effects. Methods for practices to self-improve depression care performance are needed. The authors assessed the impacts of evidence-based quality improvement (EBGI), a modification of CGI, as carried out by 2 different health care systems, and collected qualitative data on the design and implementation process. OBJECTIVE: Evaluate impacts Of EBGI on practice-wide depression care and outcomes. DESIGN: Practice-level randomized experiment comparing EBGI With usual Care. SETTING: Six Kaiser Permanente of Northern California and 3 Veterans Administration primary care practices randomly assigned to EBGI teams (6 practices) or usual care (3 practices). Practices included 245 primary care clinicians and 250,000 patients. INTERVENTION: Researchers assisted system senior leaders to identify priorities for EBGI teams; initiated the manual-based EBGI process; and provided references and tools. EVALUATION PARTICIPANTS: Five hundred and sixty-seven representative patients with major depression. MAIN OUTCOME MEASURES: Appropriate treatment, depression, functional status, and satisfaction. RESULTS: Depressed patients In EBGI practices showed a trend toward more appropriate treatment compared with those in usual care (46.0% vs 39.9% at 6 months, P=.07), but no significant improvement in 12-month depression symptom outcomes (27.0% vs 36.1% poor depression outcome, P=.18). Social functioning improved significantly (mean score 65.0 vs 56.8 at 12 months, P=.02); physical functioning did not. CONCLUSION: Evidence-based quality improvement had perceptible, but modest, effects on practice performance for patients with depression. The modest improvements, along with qualitative data, identify potential future directions for improving CGI research and practice.