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Published on: August 1, 2019
An evaluation of clinical decision support tools for Patient Health Questionnaire-9 administration
Naweid Maten1, Miranda E Kroehl2, Danielle F Loeb3
1Student, Department of Clinical Pharmacy, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado.
An interruptive clinical decision support (CDS) tool improved Patient Health Questionnaire 9 (PHQ-9) administration for depression screening more than a non-interruptive version. However, non-interruptive tools may reduce alert fatigue.
Area of Science:
- Health Informatics
- Clinical Decision Support Systems
- Mental Health Screening
Background:
- Healthcare institutions increasingly use the Patient Health Questionnaire 9 (PHQ-9) for depression screening and management.
- Clinical decision support (CDS) integrated into Electronic Health Records (EHRs) is a strategy to enhance PHQ-9 use, but effective design and implementation approaches are not well understood.
Purpose of the Study:
- To compare the implementation outcomes of two distinct CDS tool versions designed to improve PHQ-9 administration for patients with depression.
Main Methods:
- A retrospective, observational study compared two CDS versions: one that interrupted clinician workflow (Version 1) and one that did not (Version 2).
- Key outcomes assessed included reach, adoption, and effectiveness, with PHQ-9 administration determined via chart review.
- Chi-square tests analyzed the association between PHQ-9 administration and each CDS version.
Main Results:
- Version 1, the interruptive CDS, resulted in PHQ-9 administration in 15.3% of encounters (77/504).
- Version 2, the non-interruptive CDS, led to PHQ-9 administration in 9.8% of encounters (49/502).
- The difference in PHQ-9 administration rates between the two versions was statistically significant (P = .011).
Conclusions:
- Interruptive CDS tools appear more effective in increasing the administration of the PHQ-9.
- Non-interruptive CDS tools may be preferable for minimizing alert fatigue among clinicians, despite potentially lower effectiveness rates.
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