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. 2009 Jan 21:9:6.
doi: 10.1186/1472-6947-9-6.

Barriers to implementation of a computerized decision support system for depression: an observational report on lessons learned in "real world" clinical settings

Madhukar H Trivedi  1 , Ella J Daly, Janet K Kern, Bruce D Grannemann, Prabha Sunderajan, Cynthia A Claassen
Affiliations

Barriers to implementation of a computerized decision support system for depression: an observational report on lessons learned in "real world" clinical settings

Madhukar H Trivedi et al. BMC Med Inform Decis Mak. .

Abstract

Background: Despite wide promotion, clinical practice guidelines have had limited effect in changing physician behavior. Effective implementation strategies to date have included: multifaceted interventions involving audit and feedback, local consensus processes, marketing; reminder systems, either manual or computerized; and interactive educational meetings. In addition, there is now growing evidence that contextual factors affecting implementation must be addressed such as organizational support (leadership procedures and resources) for the change and strategies to implement and maintain new systems.

Methods: To examine the feasibility and effectiveness of implementation of a computerized decision support system for depression (CDSS-D) in routine public mental health care in Texas, fifteen study clinicians (thirteen physicians and two advanced nurse practitioners) participated across five sites, accruing over 300 outpatient visits on 168 patients.

Results: Issues regarding computer literacy and hardware/software requirements were identified as initial barriers. Clinicians also reported concerns about negative impact on workflow and the potential need for duplication during the transition from paper to electronic systems of medical record keeping.

Conclusion: The following narrative report based on observations obtained during the initial testing and use of a CDSS-D in clinical settings further emphasizes the importance of taking into account organizational factors when planning implementation of evidence-based guidelines or decision support within a system.

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