PURPOSE: The impact of a quality-assessment dashboard and individualized pharmacist performance feedback on the adherence of order verification was evaluated. METHODS: A before-and-after study was conducted at a 1,440-bed academic medical center. Adherence of order verification was defined as orders verified according to institution-derived, medication-related guidelines and policies. Formulas were developed to assess the adherence of verified orders to dosing guidelines using patient-specific height, weight, and serum creatinine clearance values from the electronic medical record at the time of pharmacist verification. A total of 5 medications were assessed by the formulas for adherence and displayed on the dashboard: ampicillin-sulbactam, ciprofloxacin, piperacillin-tazobactam, acyclovir, and enoxaparin. Adherence of order verification was assessed before (May 1-July 31, 2015) and after (November 1, 2015-January 31, 2016) individualized performance feedback was given based on trends identified by the quality-assessment dashboard. RESULTS: There was a significant increase in the overall adherence rate postintervention (90.1% versus 91.9%, p = 0.040). Among the 34 pharmacists who participated, the percentage of pharmacists with at least 90% overall adherence increased postintervention (52.9% versus 70.6%, p = 0.103). Time to verification was similar before and after the study intervention (median, 6.0 minutes; interquartile range, 3-13 minutes). The rate of documentation for nonadherent orders increased significantly postintervention (57.1% versus 68.5%, p = 0.019). CONCLUSION: The implementation of the quality-assessment dashboard, educational sessions, and individualized performance feedback significantly improved pharmacist order-verification adherence to institution-derived, medication-related guidelines and policies and the documentation rate of nonadherent orders.
PURPOSE: The impact of a quality-assessment dashboard and individualized pharmacist performance feedback on the adherence of order verification was evaluated. METHODS: A before-and-after study was conducted at a 1,440-bed academic medical center. Adherence of order verification was defined as orders verified according to institution-derived, medication-related guidelines and policies. Formulas were developed to assess the adherence of verified orders to dosing guidelines using patient-specific height, weight, and serum creatinine clearance values from the electronic medical record at the time of pharmacist verification. A total of 5 medications were assessed by the formulas for adherence and displayed on the dashboard: ampicillin-sulbactam, ciprofloxacin, piperacillin-tazobactam, acyclovir, and enoxaparin. Adherence of order verification was assessed before (May 1-July 31, 2015) and after (November 1, 2015-January 31, 2016) individualized performance feedback was given based on trends identified by the quality-assessment dashboard. RESULTS: There was a significant increase in the overall adherence rate postintervention (90.1% versus 91.9%, p = 0.040). Among the 34 pharmacists who participated, the percentage of pharmacists with at least 90% overall adherence increased postintervention (52.9% versus 70.6%, p = 0.103). Time to verification was similar before and after the study intervention (median, 6.0 minutes; interquartile range, 3-13 minutes). The rate of documentation for nonadherent orders increased significantly postintervention (57.1% versus 68.5%, p = 0.019). CONCLUSION: The implementation of the quality-assessment dashboard, educational sessions, and individualized performance feedback significantly improved pharmacist order-verification adherence to institution-derived, medication-related guidelines and policies and the documentation rate of nonadherent orders.
Authors: Jung Yin Tsang; Niels Peek; Iain Buchan; Sabine N van der Veer; Benjamin Brown Journal: J Am Med Inform Assoc Date: 2022-05-11 Impact factor: 7.942