Physician champions are key to improving antibiotic prescribing quality.

BACKGROUND: The previously reported IMPAACT study was a cluster randomized controlled trial of a patient and physician educational intervention designed to reduce antibiotic prescribing for acute respiratory tract infections (ARIs) in emergency departments (EDs) in the United States. On average, the intervention resulted in a modest improvement in antibiotic prescribing behavior at the end of Year 1 and further improvement after Year 2. Yet the intervention's impact was large at some sites but minimal or even negative at others. A study was undertaken to identify organizational factors that influenced the effectiveness (Organizational Effect Modifiers [OEMs]) of the intervention. METHODS: Focus groups of nurses and ED staff and semistructured interviews of local project leaders, nurse managers, and quality improvement (QI) officers were performed at seven EDs across the United States. Effectiveness of the local project leader, institutional emphasis on patient satisfaction ratings, and institutional history with and approach to QI were initially identified as key potential OEMs. Two investigators independently read the transcripts for each site and, using prespecified rating scales, rated the presence of each OEM. FINDINGS: The perceived effectiveness of the local project leader was most strongly linked to the effectiveness of the intervention. Perceived institutional emphasis on patient satisfaction and institutional history of and approach to QI (top down or bottom up) did not appear to be closely linked with intervention effectiveness. DISCUSSION: An effective local leader to serve as a physician champion was key to the success of this project. Organizational factors modify the effectiveness of QI interventions targeting individual physician performance and should be addressed during program implementation.

Identifying and quantifying medication errors: evaluation of rapidly discontinued medication orders submitted to a computerized physician order entry system.

All methods of identifying medication prescribing errors are fraught with inaccuracies and systematic bias. A systematic, efficient, and inexpensive way of measuring and quantifying prescribing errors would be a useful step for reducing them. We ask if rapid discontinuations of prescription-orders--where physicians stop their orders within 2 hours--would be an expedient proxy for prescribing errors? To study this we analyzed CPOE-system medication orders entered and then discontinued within 2 hours. We investigated these phenomena in real time via interviews with corresponding ordering physicians. Each order was also independently reviewed by a clinical pharmacist or physicians. We found that of 114 rapidly discontinued orders by 75 physicians, two-thirds (35 of 53, PPV = 66; 95% CI = 53-77) of medication orders discontinued within 45 minutes were deemed inappropriate (overdose, underdose, etc.). Overall, 55% (63 of 114; 95% CI = 46-64%) of medication orders discontinued within 2 hours were deemed inappropriate. This measure offers a rapid, constant, inexpensive, and objective method to identify medication orders with a high probability of error. It may also serve as a screening and teaching mechanism for physicians-in-training.