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Long-term effect of computer-assisted decision support for antibiotic treatment in critically ill patients: a prospective ‘before/after’ cohort study

OBJECTIVES: Antibiotic resistance has risen dramatically over the past years. For individual patients, adequate initial antibiotic therapy is essential for clinical outcome. Computer-assisted decision support systems (CDSSs) are advocated to support implementation of rational anti-infective treatmen...

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Autores principales: Nachtigall, I, Tafelski, S, Deja, M, Halle, E, Grebe, M C, Tamarkin, A, Rothbart, A, Uhrig, A, Meyer, E, Musial-Bright, L, Wernecke, K D, Spies, C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4275685/
https://www.ncbi.nlm.nih.gov/pubmed/25534209
http://dx.doi.org/10.1136/bmjopen-2014-005370
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author Nachtigall, I
Tafelski, S
Deja, M
Halle, E
Grebe, M C
Tamarkin, A
Rothbart, A
Uhrig, A
Meyer, E
Musial-Bright, L
Wernecke, K D
Spies, C
author_facet Nachtigall, I
Tafelski, S
Deja, M
Halle, E
Grebe, M C
Tamarkin, A
Rothbart, A
Uhrig, A
Meyer, E
Musial-Bright, L
Wernecke, K D
Spies, C
author_sort Nachtigall, I
collection PubMed
description OBJECTIVES: Antibiotic resistance has risen dramatically over the past years. For individual patients, adequate initial antibiotic therapy is essential for clinical outcome. Computer-assisted decision support systems (CDSSs) are advocated to support implementation of rational anti-infective treatment strategies based on guidelines. The aim of this study was to evaluate long-term effects after implementation of a CDSS. DESIGN: This prospective ‘before/after’ cohort study was conducted over four observation periods within 5 years. One preinterventional period (pre) was compared with three postinterventional periods: directly after intensive implementation efforts (post1), 2 years (post2) and 3 years (post3) after implementation. SETTING: Five anaesthesiological-managed intensive care units (ICU) (one cardiosurgical, one neurosurgical, two interdisciplinary and one intermediate care) at a university hospital. PARTICIPANTS: Adult patients with an ICU stay of >48 h were included in the analysis. 1316 patients were included in the analysis for a total of 12 965 ICU days. INTERVENTION: Implementation of a CDSS. OUTCOME MEASURES: The primary end point was percentage of days with guideline adherence during ICU treatment. Secondary end points were antibiotic-free days and all-cause mortality compared for patients with low versus high guideline adherence. MAIN RESULTS: Adherence to guidelines increased from 61% prior to implementation to 92% in post1, decreased in post2 to 76% and remained significantly higher compared with baseline in post3, with 71% (p=0.178). Additionally, antibiotic-free days increased over study periods. At all time periods, mortality for patients with low guideline adherence was higher with 12.3% versus 8% (p=0.014) and an adjusted OR of 1.56 (95% CI 1.05 to 2.31). CONCLUSIONS: Implementation of computerised regional adapted guidelines for antibiotic therapy is paralleled with improved adherence. Even without further measures, adherence stayed high for a longer period and was paralleled by reduced antibiotic exposure. Improved guideline adherence was associated with reduced ICU mortality. TRIAL REGISTRATION NUMBER: ISRCTN54598675.
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spelling pubmed-42756852014-12-31 Long-term effect of computer-assisted decision support for antibiotic treatment in critically ill patients: a prospective ‘before/after’ cohort study Nachtigall, I Tafelski, S Deja, M Halle, E Grebe, M C Tamarkin, A Rothbart, A Uhrig, A Meyer, E Musial-Bright, L Wernecke, K D Spies, C BMJ Open Evidence Based Practice OBJECTIVES: Antibiotic resistance has risen dramatically over the past years. For individual patients, adequate initial antibiotic therapy is essential for clinical outcome. Computer-assisted decision support systems (CDSSs) are advocated to support implementation of rational anti-infective treatment strategies based on guidelines. The aim of this study was to evaluate long-term effects after implementation of a CDSS. DESIGN: This prospective ‘before/after’ cohort study was conducted over four observation periods within 5 years. One preinterventional period (pre) was compared with three postinterventional periods: directly after intensive implementation efforts (post1), 2 years (post2) and 3 years (post3) after implementation. SETTING: Five anaesthesiological-managed intensive care units (ICU) (one cardiosurgical, one neurosurgical, two interdisciplinary and one intermediate care) at a university hospital. PARTICIPANTS: Adult patients with an ICU stay of >48 h were included in the analysis. 1316 patients were included in the analysis for a total of 12 965 ICU days. INTERVENTION: Implementation of a CDSS. OUTCOME MEASURES: The primary end point was percentage of days with guideline adherence during ICU treatment. Secondary end points were antibiotic-free days and all-cause mortality compared for patients with low versus high guideline adherence. MAIN RESULTS: Adherence to guidelines increased from 61% prior to implementation to 92% in post1, decreased in post2 to 76% and remained significantly higher compared with baseline in post3, with 71% (p=0.178). Additionally, antibiotic-free days increased over study periods. At all time periods, mortality for patients with low guideline adherence was higher with 12.3% versus 8% (p=0.014) and an adjusted OR of 1.56 (95% CI 1.05 to 2.31). CONCLUSIONS: Implementation of computerised regional adapted guidelines for antibiotic therapy is paralleled with improved adherence. Even without further measures, adherence stayed high for a longer period and was paralleled by reduced antibiotic exposure. Improved guideline adherence was associated with reduced ICU mortality. TRIAL REGISTRATION NUMBER: ISRCTN54598675. BMJ Publishing Group 2014-12-22 /pmc/articles/PMC4275685/ /pubmed/25534209 http://dx.doi.org/10.1136/bmjopen-2014-005370 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Evidence Based Practice
Nachtigall, I
Tafelski, S
Deja, M
Halle, E
Grebe, M C
Tamarkin, A
Rothbart, A
Uhrig, A
Meyer, E
Musial-Bright, L
Wernecke, K D
Spies, C
Long-term effect of computer-assisted decision support for antibiotic treatment in critically ill patients: a prospective ‘before/after’ cohort study
title Long-term effect of computer-assisted decision support for antibiotic treatment in critically ill patients: a prospective ‘before/after’ cohort study
title_full Long-term effect of computer-assisted decision support for antibiotic treatment in critically ill patients: a prospective ‘before/after’ cohort study
title_fullStr Long-term effect of computer-assisted decision support for antibiotic treatment in critically ill patients: a prospective ‘before/after’ cohort study
title_full_unstemmed Long-term effect of computer-assisted decision support for antibiotic treatment in critically ill patients: a prospective ‘before/after’ cohort study
title_short Long-term effect of computer-assisted decision support for antibiotic treatment in critically ill patients: a prospective ‘before/after’ cohort study
title_sort long-term effect of computer-assisted decision support for antibiotic treatment in critically ill patients: a prospective ‘before/after’ cohort study
topic Evidence Based Practice
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4275685/
https://www.ncbi.nlm.nih.gov/pubmed/25534209
http://dx.doi.org/10.1136/bmjopen-2014-005370
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