CCDSSs to prevent VTE


Title: Use of computerized clinical decision support systems decreases venous thromboembolic events in surgical patients

Clinical Question: Do computerized clinical decision support systems (CCDSSs) decrease the risk of venous thromboembolism (VTE) in surgical patients?

Background: VTE remains the leading preventable cause of death in the hospital. Despite multiple tools that are available to stratify risk of VTE, they are not used uniformly or are used incorrectly. It is unclear whether CCDSSs help prevent VTE compared to standard care.

Study Design: Retrospective systematic review and meta-analysis.

Setting: 188 studies initially screened, 11 studies were included.

Synopsis: Multiple studies relevant to the topic were reviewed; only studies that used an electronic medical record (EMR)–based tool to augment the rate of appropriate prophylaxis of VTE were included. Primary outcomes assessed were rate of appropriate prophylaxis for VTE and rate of VTE events. A total of 156,366 patients were analyzed, of which 104,241 (66%) received intervention with CCDSSs and 52,125 (33%) received standard care (physician judgment and discretion). The use of CCDSSs was associated with a significant increase in the rate of appropriate ordering of prophylaxis for VTE (odds ratio, 2.35; 95% confidence interval, 1.78-3.10; P less than .001) and a significant decrease in the risk of VTE events (risk ratio, 0.78; 95% CI, 0.72-0.85; P less than .001). The major limitation of this study is that it did not evaluate the number of adverse events as a result of VTE prophylaxis, such as bleeding, which may have been significantly increased in the CCDSS group.

Bottom Line: The use of CCDSSs increases the proportion of surgical patients who are prescribed adequate prophylaxis for VTE and correlates with a reduction in VTE events.

Citation: Borab ZM, Lanni MA, Tecce MG, Pannucci CJ, Fischer JP. Use of computerized clinical decision support systems to prevent venous thromboembolism in surgical patients: A systematic review and meta-analysis. JAMA Surg. 2017; doi: 10.1001/jamasurg.2017.0131.

Dr. Shadi Mayasy, assistant professor in the department of hospital medicine at the University of New Mexico

Dr. Shadi Mayasy

Dr. Mayasy is assistant professor in the department of hospital medicine at the University of New Mexico.

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