Amy L Brotherton1, Saira Rab2, Sheetal Kandiah3, Jane Kriengkauykiat2, Jordan R Wong2. 1. Department of Pharmacy, The Miriam Hospital, 164 Summit Avenue, Providence, RI 02906, USA. 2. Department of Pharmacy and Drug Information, Grady Health System, 80 Jesse Hill Jr. Drive, SE, Atlanta, GA 30303, USA. 3. Department of Medicine Division of Infectious Diseases, Emory University School of Medicine, 201 Dowman Drive, Atlanta, GA 30322, USA.
Abstract
BACKGROUND: Staphylococcus aureus bacteraemia (SAB) management bundles have been shown to improve performance measures and clinical outcomes. SAB bundles often require direct intervention by infectious diseases (ID) physicians or antibiotic stewardship programme (ASP) members or pharmacists. The purpose of this study was to evaluate an automated, real-time ASP intervention utilizing clinical decision support (CDS) in the electronic health record (EHR) for the management of SAB. METHODS: A retrospective, single-centre quasi-experimental study of hospitalized patients with known SAB was conducted. The intervention was the implementation of a hard-stop best practice advisory (BPA) alert that would prompt physicians to use an electronic order set, on identification of SAB, with management recommendations, including ID consultation. The primary outcome was overall adherence to six institutional ASP SAB bundle elements. Secondary outcomes included both clinical and process outcomes. RESULTS: A total of 227 patients were included, 111 in the pre-intervention and 116 in the post-intervention period. Completion of all six bundle elements improved by 27.2% in the post-intervention group (29.7% versus 56.9%, P < 0.001). BPA activation and order-set utilization occurred in 95.7% and 57.8% in the post-intervention group, respectively. Composite outcome of 30 day mortality or 90 day readmission with SAB complication decreased in the post-intervention group by 9.6% (24.3% versus 14.7%, P = 0.092). CONCLUSIONS: Optimization of CDS within the EHR, using real-time BPA alert and order set, demonstrated an immediate, sustainable intervention that improved adherence to institutional performance measures for SAB management without direct prospective audit with intervention and feedback.
BACKGROUND:Staphylococcus aureus bacteraemia (SAB) management bundles have been shown to improve performance measures and clinical outcomes. SAB bundles often require direct intervention by infectious diseases (ID) physicians or antibiotic stewardship programme (ASP) members or pharmacists. The purpose of this study was to evaluate an automated, real-time ASP intervention utilizing clinical decision support (CDS) in the electronic health record (EHR) for the management of SAB. METHODS: A retrospective, single-centre quasi-experimental study of hospitalized patients with known SAB was conducted. The intervention was the implementation of a hard-stop best practice advisory (BPA) alert that would prompt physicians to use an electronic order set, on identification of SAB, with management recommendations, including ID consultation. The primary outcome was overall adherence to six institutional ASP SAB bundle elements. Secondary outcomes included both clinical and process outcomes. RESULTS: A total of 227 patients were included, 111 in the pre-intervention and 116 in the post-intervention period. Completion of all six bundle elements improved by 27.2% in the post-intervention group (29.7% versus 56.9%, P < 0.001). BPA activation and order-set utilization occurred in 95.7% and 57.8% in the post-intervention group, respectively. Composite outcome of 30 day mortality or 90 day readmission with SAB complication decreased in the post-intervention group by 9.6% (24.3% versus 14.7%, P = 0.092). CONCLUSIONS: Optimization of CDS within the EHR, using real-time BPA alert and order set, demonstrated an immediate, sustainable intervention that improved adherence to institutional performance measures for SAB management without direct prospective audit with intervention and feedback.
Authors: Kellie Arensman; Jennifer Dela-Pena; Jessica L Miller; Erik LaChance; Maya Beganovic; Morgan Anderson; Anne Rivelli; Sarah M Wieczorkiewicz Journal: Open Forum Infect Dis Date: 2020-05-21 Impact factor: 3.835