OBJECTIVE: To determine whether a computerized decision support system could increase the proportion of oral quinolone antibiotic orders placed for hospitalized patients. DESIGN: Prospective, interrupted time-series analysis. SETTING: University hospital in the south-eastern United States. SUBJECTS: Inpatient quinolone orders placed from 1 February 2001 to 31 January 2003. INTERVENTION: A web-based intervention was deployed as part of an existing order entry system at a university hospital on 5 February 2002. Based on an automated query of active medication and diet orders, some users ordering intravenous quinolones were presented with a suggestion to consider choosing an oral formulation. MAIN OUTCOME MEASURE: The proportion of inpatient quinolone orders placed for oral formulations before and after deployment of the intervention. RESULTS: There were a total of 15 194 quinolone orders during the study period, of which 8962 (59%) were for oral forms. Orders for oral quinolones increased from 4202 (56%) before the intervention to 4760 (62%) after, without a change in total orders. In the time-series analysis, there was an overall 5.6% increase (95% CI 2.8-8.4%; P < 0.001) in weekly oral quinolone orders due to the intervention, with the greatest effect on nonintensive care medical units. CONCLUSIONS: A web-based intervention was able to increase oral quinolone orders in hospitalized patients. This is one of the first studies to demonstrate a significant effect of a computerized intervention on dosing route within an antibiotic class. This model could be applied to other antibiotics or other drug classes with good oral bioavailability.
OBJECTIVE: To determine whether a computerized decision support system could increase the proportion of oral quinolone antibiotic orders placed for hospitalized patients. DESIGN: Prospective, interrupted time-series analysis. SETTING: University hospital in the south-eastern United States. SUBJECTS: Inpatient quinolone orders placed from 1 February 2001 to 31 January 2003. INTERVENTION: A web-based intervention was deployed as part of an existing order entry system at a university hospital on 5 February 2002. Based on an automated query of active medication and diet orders, some users ordering intravenous quinolones were presented with a suggestion to consider choosing an oral formulation. MAIN OUTCOME MEASURE: The proportion of inpatient quinolone orders placed for oral formulations before and after deployment of the intervention. RESULTS: There were a total of 15 194 quinolone orders during the study period, of which 8962 (59%) were for oral forms. Orders for oral quinolones increased from 4202 (56%) before the intervention to 4760 (62%) after, without a change in total orders. In the time-series analysis, there was an overall 5.6% increase (95% CI 2.8-8.4%; P < 0.001) in weekly oral quinolone orders due to the intervention, with the greatest effect on nonintensive care medical units. CONCLUSIONS: A web-based intervention was able to increase oral quinolone orders in hospitalized patients. This is one of the first studies to demonstrate a significant effect of a computerized intervention on dosing route within an antibiotic class. This model could be applied to other antibiotics or other drug classes with good oral bioavailability.
Authors: K de With; F Allerberger; S Amann; P Apfalter; H-R Brodt; T Eckmanns; M Fellhauer; H K Geiss; O Janata; R Krause; S Lemmen; E Meyer; H Mittermayer; U Porsche; E Presterl; S Reuter; B Sinha; R Strauß; A Wechsler-Fördös; C Wenisch; W V Kern Journal: Infection Date: 2016-06 Impact factor: 3.553
Authors: Peter Davey; Charis A Marwick; Claire L Scott; Esmita Charani; Kirsty McNeil; Erwin Brown; Ian M Gould; Craig R Ramsay; Susan Michie Journal: Cochrane Database Syst Rev Date: 2017-02-09
Authors: H Akhloufi; R H Streefkerk; D C Melles; J E M de Steenwinkel; C A M Schurink; R P Verkooijen; C P van der Hoeven; A Verbon Journal: Eur J Clin Microbiol Infect Dis Date: 2015-05-28 Impact factor: 3.267
Authors: Sallie-Anne Pearson; Annette Moxey; Jane Robertson; Isla Hains; Margaret Williamson; James Reeve; David Newby Journal: BMC Health Serv Res Date: 2009-08-28 Impact factor: 2.655