Using a web app to improve depression treatment in community health centers
Type III Hybrid Effectiveness-Implementation Trial of a Clinical Decision Support System for the Implementation of Problem Solving Treatment in Community Health Centers
This study is testing a new tool called PST-Aid that helps therapists and clients work together better to tackle depression, and it’s for people who are receiving Problem Solving Treatment to see if this tool makes the treatment more effective and engaging.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Washington NIH-funded |
| Lab location | 1 site (Seattle, United States) |
| Project ID | NIH-11087595 on NIH RePORTER |
What this research studies
This research focuses on enhancing the delivery of Problem Solving Treatment (PST) for depression through an automated decision support tool called PST-Aid. The tool is designed to facilitate collaboration between practitioners and clients, helping them set goals and plan actions effectively. By working with community health centers, the study aims to compare traditional PST implementation with the enhanced approach using PST-Aid, assessing its impact on treatment fidelity, client engagement, and overall effectiveness in reducing depressive symptoms. The research involves training practitioners and evaluating the outcomes in real-world settings.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals receiving treatment for depression at participating community health centers.
Not a fit: Patients who are not currently receiving treatment for depression or are not affiliated with the participating health centers may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective and sustained treatment for depression, improving patient outcomes in community health settings.
How similar studies have performed: Previous research has shown promise in using automated decision support tools to enhance clinical interventions, indicating potential for success in this approach.
Where this research is happening
Seattle, United States
- University of Washington — Seattle, United States (Active)
Researchers
- Principal investigator: Bennett, Ian Moore — University of Washington
- Study coordinator: Bennett, Ian Moore
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.