OBJECTIVE: Lack of dose adjustment for renally cleared drugs in the presence of poor renal function is a common problem in the hospital setting. The absence of a clinical decision support system (CDSS) from direct clinician workflows such as computerized provider order entry (CPOE) hinders the uptake of CDSS. This study implemented CDSS in an environment independent of CPOE, introduced to prescribers via academic detailing, to address the dosing of renally cleared drugs. DESIGN: GFR+ was designed to automatically calculate and update renal function, doses of key drugs adjusted for renal function, and highlight clinically significant decreases in renal function. Prescribers were made aware of GFR+, its navigation, and surrounding clinical issues, using academic detailing. MEASUREMENT: The rate of dosing conformity and management for key renally cleared drugs in hospitalized patients, before and after GFR+ implementation. RESULTS: Improvements were seen in dosing conformity for enoxaparin (from 68% to 86%, p=0.03), gentamicin (63-87%, p=0.01), and vancomycin (47-77%, p=0.07), as well as the appropriate use of gentamicin therapeutic drug monitoring (70-90%, p=0.02). During episodes of acute renal impairment, renally cleared drugs were held on 38% of instances in the pre-intervention period compared with 62% post-intervention (p=0.01). CONCLUSION: Clinical decision support implemented with academic detailing improved dosing conformity and management of key renally cleared drugs in a hospitalized population. Academic detailing should be strongly considered to facilitate the introduction of CDSS systems that cannot be placed directly into the clinician workflow.
OBJECTIVE: Lack of dose adjustment for renally cleared drugs in the presence of poor renal function is a common problem in the hospital setting. The absence of a clinical decision support system (CDSS) from direct clinician workflows such as computerized provider order entry (CPOE) hinders the uptake of CDSS. This study implemented CDSS in an environment independent of CPOE, introduced to prescribers via academic detailing, to address the dosing of renally cleared drugs. DESIGN: GFR+ was designed to automatically calculate and update renal function, doses of key drugs adjusted for renal function, and highlight clinically significant decreases in renal function. Prescribers were made aware of GFR+, its navigation, and surrounding clinical issues, using academic detailing. MEASUREMENT: The rate of dosing conformity and management for key renally cleared drugs in hospitalized patients, before and after GFR+ implementation. RESULTS: Improvements were seen in dosing conformity for enoxaparin (from 68% to 86%, p=0.03), gentamicin (63-87%, p=0.01), and vancomycin (47-77%, p=0.07), as well as the appropriate use of gentamicin therapeutic drug monitoring (70-90%, p=0.02). During episodes of acute renal impairment, renally cleared drugs were held on 38% of instances in the pre-intervention period compared with 62% post-intervention (p=0.01). CONCLUSION: Clinical decision support implemented with academic detailing improved dosing conformity and management of key renally cleared drugs in a hospitalized population. Academic detailing should be strongly considered to facilitate the introduction of CDSS systems that cannot be placed directly into the clinician workflow.
Authors: G M Chertow; J Lee; G J Kuperman; E Burdick; J Horsky; D L Seger; R Lee; A Mekala; J Song; A L Komaroff; D W Bates Journal: JAMA Date: 2001-12-12 Impact factor: 56.272
Authors: G Montalescot; J P Collet; M L Tanguy; A Ankri; L Payot; R Dumaine; R Choussat; F Beygui; V Gallois; D Thomas Journal: Circulation Date: 2004-07-12 Impact factor: 29.690
Authors: Ayub Akbari; Peter J Swedko; Heather D Clark; William Hogg; Jacques Lemelin; Peter Magner; Lisa Moore; Daylily Ooi Journal: Arch Intern Med Date: 2004-09-13
Authors: Adam Wright; Dean F Sittig; Joan S Ash; Joshua Feblowitz; Seth Meltzer; Carmit McMullen; Ken Guappone; Jim Carpenter; Joshua Richardson; Linas Simonaitis; R Scott Evans; W Paul Nichol; Blackford Middleton Journal: J Am Med Inform Assoc Date: 2011-03-17 Impact factor: 4.497