BACKGROUND: The purpose of this prospective study was to determine the effectiveness of targeted interventions to improve compliance with antibiotic prophylaxis guidelines (timing, spectrum, and discontinuation) at 2 university-affiliated hospitals. METHODS: Based on barriers identified previously, hospital-specific interventions were developed such as educational conferences, standardized forms, an extended time-out, and feedback. Guideline compliance and surgical site infection (SSI) data were recorded on all patients who underwent elective laparotomies for colorectal procedures, vascular operations, and hysterectomies during four 6-month study periods. Prestudy data from July to December 2006 served as a baseline. One year later, a prospective cohort study was performed. The interventions were introduced to the 2 hospitals in a staggered fashion with 2-month implementation periods before reassessing compliance during the 6-month study periods. General linear modeling was performed (P < .05 significant). RESULTS: Compliance with all 3 guidelines combined improved during the year preceding the study, after attention only, at both hospitals. Hospital-specific differences were found in the effectiveness of the intervention package on individual guidelines. Hospital 2 but not 1 improved in timing after the interventions; both hospitals improved in spectrum, and neither hospital improved in discontinuation. Overall compliance with all 3 antibiotic prophylactic measures was greater at hospital 1, but hospital 2 had lower SSI rates. CONCLUSION: Simply increasing attention to a quality problem can result in a significant and sustained improvement. Quality improvement interventions should be evaluated rigorously for effectiveness given hospital-specific differences in effectiveness and for correlation of guideline compliance with outcome. Copyright 2010 Mosby, Inc. All rights reserved.
BACKGROUND: The purpose of this prospective study was to determine the effectiveness of targeted interventions to improve compliance with antibiotic prophylaxis guidelines (timing, spectrum, and discontinuation) at 2 university-affiliated hospitals. METHODS: Based on barriers identified previously, hospital-specific interventions were developed such as educational conferences, standardized forms, an extended time-out, and feedback. Guideline compliance and surgical site infection (SSI) data were recorded on all patients who underwent elective laparotomies for colorectal procedures, vascular operations, and hysterectomies during four 6-month study periods. Prestudy data from July to December 2006 served as a baseline. One year later, a prospective cohort study was performed. The interventions were introduced to the 2 hospitals in a staggered fashion with 2-month implementation periods before reassessing compliance during the 6-month study periods. General linear modeling was performed (P < .05 significant). RESULTS: Compliance with all 3 guidelines combined improved during the year preceding the study, after attention only, at both hospitals. Hospital-specific differences were found in the effectiveness of the intervention package on individual guidelines. Hospital 2 but not 1 improved in timing after the interventions; both hospitals improved in spectrum, and neither hospital improved in discontinuation. Overall compliance with all 3 antibiotic prophylactic measures was greater at hospital 1, but hospital 2 had lower SSI rates. CONCLUSION: Simply increasing attention to a quality problem can result in a significant and sustained improvement. Quality improvement interventions should be evaluated rigorously for effectiveness given hospital-specific differences in effectiveness and for correlation of guideline compliance with outcome. Copyright 2010 Mosby, Inc. All rights reserved.
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