Enhancing Clinical Depression Treatment Outcomes: A Comprehensive Approach Using Measurement-Based Care, Research Benchmarks, and Systematic Quality Improvements
Depression is a leading cause of global disease burden. Although psychotherapy and pharmacotherapy effectively reduce depressive symptoms, access to high-quality care remains limited. This study examined whether a Continuous Quality Improvement (CQI) process incorporating measurement-based care and benchmarking could enhance depression treatment outcomes in specialized mental healthcare. Data were drawn from two outpatient mental health clinics in Stockholm, Sweden. First, patient-reported outcome measures (PROMs) were used to compare local clinical results with a meta-analytic benchmark. Next, a CQI framework was implemented to improve outcomes. The sample included 415 patients receiving treatment for depression. Compared to the benchmark, the clinical sample had higher pre-treatment depression severity, attended more appointments, and had lower data attrition. Initial year-to-year analyses showed that treatment effects were significantly lower than the benchmark (Hedge’s g = 0.87–1.01 vs. g = 1.51). After implementing the CQI process, treatment effects improved (g = 1.25–1.27) and were no longer inferior to the benchmark. These findings suggest that integrating measurement-based care, benchmarking, and CQI can improve depression treatment outcomes in specialized settings and may help close the gap between real-world care and evidence-based standards.
Authors
- Fabian Lenhard (ORCID: https://orcid.org/0000-0003-0930-6412)
- Ida Viklund
- Lars‐Göran Öst (ORCID: https://orcid.org/0000-0002-4351-2810)
- Erik M Andersson
- Lisa Wahlström Amnéus
Institutions
- Stockholm University (SE)
- Karolinska Institutet (SE)
- WeMind (SE)
- Stockholm Health Care Services (SE)
Publication Details
- Journal
- Administration and Policy in Mental Health and Mental Health Services Research
- Published
- 2026-03-31
- DOI
- https://doi.org/10.1007/s10488-026-01499-6
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Karolinska Institutet