Barriers to Implementing a Computerized Decision Support System for Depression
Author Information
Author(s): Madhukar H Trivedi, Ella J Daly, Janet K Kern, Bruce D Grannemann, Prabha Sunderajan, Cynthia A Claassen
Primary Institution: University of Texas Southwestern Medical Center at Dallas, TX, USA
Hypothesis
What are the barriers to implementing a computerized decision support system for depression in clinical settings?
Conclusion
The study highlights the importance of addressing organizational factors when implementing evidence-based guidelines or decision support systems.
Supporting Evidence
- Clinicians reported issues with computer literacy and concerns about workflow.
- Technical support was crucial for the smooth operation of the CDSS-D program.
- Buy-in from administration was essential for successful implementation.
Takeaway
This study looked at how hard it is to use a computer program to help doctors treat depression, and found that things like computer skills and support from the clinic are really important.
Methodology
Fifteen clinicians participated across five sites, accruing over 300 outpatient visits on 168 patients to assess the feasibility and effectiveness of the CDSS-D.
Potential Biases
Potential bias due to reliance on informal feedback from clinicians rather than structured surveys.
Limitations
The small sample size and informal feedback may limit the generalizability of the findings.
Participant Demographics
Participants included thirteen physicians and two advanced nurse practitioners from urban public mental health clinics in Texas.
Digital Object Identifier (DOI)
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