Evidence map›Paper›PMID 25534209›Full record

Observational studyBMJ open2014

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

I Nachtigall, S Tafelski, M Deja, E Halle, M C Grebe, A Tamarkin, A Rothbart, A Uhrig, E Meyer, L Musial-Bright and 2 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMJ open, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 4 pooled it
6.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 4 syntheses or guidelines pooled it, 70 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

I NachtigallDepartment of Anaesthesiology and Intensive Care, Charité-Universitaetsmedizin Berlin, Berlin, Germany.
S TafelskiDepartment of Anaesthesiology and Intensive Care, Charité-Universitaetsmedizin Berlin, Berlin, Germany.
M DejaDepartment of Anaesthesiology and Intensive Care, Charité-Universitaetsmedizin Berlin, Berlin, Germany.
E HalleCharité-Universitaetsmedizin Berlin, Institute for Microbiology and Hygiene, Berlin, Germany.
M C GrebeDepartment of Anaesthesiology and Intensive Care, Charité-Universitaetsmedizin Berlin, Berlin, Germany.
A TamarkinDepartment of Anaesthesiology and Intensive Care, Charité-Universitaetsmedizin Berlin, Berlin, Germany.
A RothbartDepartment of Anaesthesiology and Intensive Care, Charité-Universitaetsmedizin Berlin, Berlin, Germany.
A UhrigDepartment of Internal Medicine, Infectious Diseases and Respiratory Medicine, Charité-Universitaetsmedizin Berlin, Berlin, Germany.
E MeyerCharité Universitaetsmedizin Berlin, Institute of Hygiene and Environmental Medicine, Berlin, Germany.
L Musial-BrightDepartment of Cardiology, Charité-Universitaetsmedizin Berlin, Berlin, Germany.
K D WerneckeCharité-Universitaetsmedizin Berlin, Institute of Medical Biometrics, and SOSTANA GmbH, Berlin, Germany.
C SpiesDepartment of Anaesthesiology and Intensive Care, Charité-Universitaetsmedizin Berlin, Berlin, Germany.
Charité - Universitätsmedizin Berlin · DEBerlin Institute of Health at Charité - Universitätsmedizin Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAntibiotic 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.

designThis 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.

settingFive anaesthesiological-managed intensive care units (ICU) (one cardiosurgical, one neurosurgical, two interdisciplinary and one intermediate care) at a university hospital.

participantsAdult 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.

interventionImplementation 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

resultsAdherence 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).

conclusionsImplementation 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.

Indexed as

Anti-Bacterial AgentsBacterial InfectionsCritical IllnessDecision Making, Computer-AssistedGuideline AdherenceAgedFemaleFollow-Up StudiesGermanyHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedProspective StudiesSurvival RateAnti-Bacterial AgentsAntibiotic therapyComputer-assisted decision support systemsEvidence based medicineStewardship program

Identifiers

PMID25534209
PMCPMC4275685
OpenAlexW2103672029

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.