A recent study was completed to evaluate three approaches adopting collaborative depression care with Latino type 2 diabetes patients. The study found that using automated assessment calls significantly increased the treatment rate for patients. This approach was also the only one to significantly improve patient diabetes self-care.
The assessment calls included depression screening and monitoring, as well as patient appointment reminders.
Purpose: To evaluate three approaches adopting collaborative depression care model in Los Angeles County safety net clinics with predominantly Latino type 2 diabetes patients. Methods: Pre–post differences in treatment rates and symptom reductions were compared between baseline, 6-month, and 12-month follow-ups for each approach: (a) Multifaceted Depression and Diabetes Program (MDDP) grant–hired social workers dedicated for depression care, (b) Diabetes–Depression Care-
Management Adoption Trial (DCAT) supported care (SC) by clinic social workers in diabetes disease management teams, and (c) DCAT-automated care-management technology-facilitated care (TC) model. All social workers were guided by a depression care protocol. Results: All approaches significantly increased treatment rate, the largest improvement being MDDP (40%), followed by TC (30%) and then SC (20%). Similar patterns were found in symptom improvement (50% depression score reductions) and self-rated health. TC was the only approach to significantly improve patient diabetes self-care. Discussion: Activated social workers and technology facilitation provide promising effective adoption of collaborative depression team care in safety net.