Technology-Facilitated Depression Self-Management Linked with Lay Supporters and Primary Care Clinics: Randomized...

Area of Science:

• Primary Care Research
• Digital Health Interventions
• Mental Health Services

Background:

• Depression is a prevalent condition in primary care settings.
• Effective self-management support strategies are crucial for managing depressive symptoms.
• Integrating technology into primary care can enhance patient engagement and outcomes.

Purpose of the Study:

• To evaluate the efficacy of technology-facilitated self-management support for depression in primary care.
• To compare outcomes between an intervention group and a control group receiving usual care.

Main Methods:

• A randomized controlled trial involving 204 low-income primary care patients with moderate depressive symptoms.
• Intervention group received weekly automated interactive voice response (IVR) calls, CarePartner guidance, and clinician notifications.
• Control group received enhanced usual care with printed self-management instructions.

Main Results:

• The intervention group showed a significantly greater reduction in depression symptom severity (PHQ-9 scores) by month 6 and month 12 compared to the control group.
• Intervention participants were more than twice as likely to achieve a 50% reduction in symptom severity by month 6 and a 5-point PHQ-9 decrease by month 12.
• The one-year attrition rate was 14%.

Conclusions:

• Technology-facilitated self-management guidance, incorporating lay support and clinician alerts, effectively improves depression in primary care.
• This intervention model demonstrates potential for broader application in managing chronic conditions.
• Further research is recommended to explore implementation and generalization of these findings.