Evidence map›Paper›PMID 35870478›Full record

Trial reportThe Lancet. Infectious diseases2022

Impact of interactive computerised decision support for hospital antibiotic use (COMPASS): an open-label, cluster-randomised trial in three Swiss hospitals.

Gaud Catho, Julien Sauser, Valentina Coray, Serge Da Silva, Luigia Elzi, Stephan Harbarth, Laurent Kaiser, Christophe Marti, Rodolphe Meyer, Francesco Pagnamenta and 11 more

Registry-linked trialOpen access · bronzeAbstract readMulticenter StudyRandomized Controlled TrialEquivalence Trial
In one paragraph

Trial report in The Lancet. Infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03120975 (Improvement of Antibiotic Use in Hospitals Through Pragmatic, Multifaceted, Computerized Interventions), which is not on this map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 5% 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.

NCT03120975 nacompletednot on this map

Improvement of Antibiotic Use in Hospitals Through Pragmatic, Multifaceted, Computerized Interventions: a Multicentre, Cluster-randomized Trial - COMPASS Study (COMPuterized Antibiotic Stewardship Study)

TypeinterventionalSponsorBenedikt HuttnerRan2018 to 2020Enrolled16,176ConditionsCommunicable DiseasesArmsComputerized decision support and audit & feedback, Audit & Feedback, Standard antibiotic stewardship
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Audit and feedback: effects on professional practice.The Cochrane database of systematic reviews · 2025
    Pooled it
  2. Trial
  3. Article
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  6. [Requirements for the rational use of antibiotics based on antibiotic stewardship].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2026
    Review
  7. Article
  8. Article
  9. Gram-negative bloodstream infections: where can we do better? A retrospective cohort study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Observational
  10. Article
  11. Article
  12. Article
  13. Article
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  15. Article
  16. Article
  17. Review
  18. Observational
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 4 institutions in 1 country.

Gaud CathoDivision of Infectious Diseases, Geneva University Hospital and Faculty of Medicine, University of Geneva, Geneva, Switzerland. Electronic address: gaud.catho@hcuge.ch.
Julien SauserDivision of Infection Control, Geneva University Hospital and Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Valentina CorayDivision of Clinical Informatics, Ente Ospdaliero Cantonale, Bellinzona, Switzerland.
Serge Da SilvaDivision of Informatics, Geneva University Hospital, Geneva, Switzerland.
Luigia ElziDivision of Infectious Diseases, Ospedale San Giovanni, Ente Ospdaliero Cantonale, Bellinzona, Switzerland.
Stephan HarbarthDivision of Infectious Diseases, Geneva University Hospital and Faculty of Medicine, University of Geneva, Geneva, Switzerland; Division of Infection Control, Geneva University Hospital and Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Laurent KaiserDivision of Infectious Diseases, Geneva University Hospital and Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Christophe MartiDivision of Internal Medicine, Geneva University Hospital, Geneva, Switzerland.
Rodolphe MeyerDivision of Informatics, Geneva University Hospital, Geneva, Switzerland.
Francesco PagnamentaDivision of Clinical Informatics, Ente Ospdaliero Cantonale, Bellinzona, Switzerland.
Javier PortelaDivision of Informatics, Geneva University Hospital, Geneva, Switzerland.
Virginie PrendkiDivision of Geriatrics, Geneva University Hospital, Geneva, Switzerland.
Alice RanzaniDivision of Infectious Diseases, Geneva University Hospital and Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Nicolò Saverio CentemeroDivision of Clinical Informatics, Ente Ospdaliero Cantonale, Bellinzona, Switzerland.
Jerome StirnemannDivision of Internal Medicine, Geneva University Hospital, Geneva, Switzerland.
Roberta ValottiDivision of Infectious Diseases, Ospedale Regionale di Lugano, Ente Ospedaliero Cantonale and University of Southern Switzerland, Lugano, Switzerland.
Nathalie VernazMedical Directorate, Geneva University Hospital and Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Brigitte Waldispuehl SuterDivision of Clinical Informatics, Ente Ospdaliero Cantonale, Bellinzona, Switzerland.
Enos BernasconiDivision of Infectious Diseases, Geneva University Hospital and Faculty of Medicine, University of Geneva, Geneva, Switzerland; Division of Infectious Diseases, Ospedale Regionale di Lugano, Ente Ospedaliero Cantonale and University of Southern Switzerland, Lugano, Switzerland.
Benedikt D HuttnerDivision of Infectious Diseases, Geneva University Hospital and Faculty of Medicine, University of Geneva, Geneva, Switzerland.
COMPASS study group
University Hospital of Geneva · CHEnte Ospedaliero Cantonale · CHUniversity of Geneva · CHOspedale San Giovanni Bellinzona · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComputerised decision-support systems (CDSSs) for antibiotic stewardship could help to assist physicians in the appropriate prescribing of antibiotics. However, high-quality evidence for their effect on the quantity and quality of antibiotic use remains scarce. The aim of our study was to assess whether a computerised decision support for antimicrobial stewardship combined with feedback on prescribing indicators can reduce antimicrobial prescriptions for adults admitted to hospital.

methodsThe Computerised Antibiotic Stewardship Study (COMPASS) was a multicentre, cluster-randomised, parallel-group, open-label superiority trial that aimed to assess whether a multimodal computerised antibiotic-stewardship intervention is effective in reducing antibiotic use for adults admitted to hospital. After pairwise matching, 24 wards in three Swiss tertiary-care and secondary-care hospitals were randomised (1:1) to the CDSS intervention or to standard antibiotic stewardship measures using an online random sequence generator. The multimodal intervention consisted of a CDSS providing support for choice, duration, and re-evaluation of antimicrobial therapy, and feedback on antimicrobial prescribing quality. The primary outcome was overall systemic antibiotic use measured in days of therapy per admission, using adjusted-hurdle negative-binomial mixed-effects models. The analysis was done by intention to treat and per protocol. The study was registered with ClinicalTrials.gov (identifier NCT03120975).

findings24 clusters (16 at Geneva University Hospitals and eight at Ticino Regional Hospitals) were eligible and randomly assigned to control or intervention between Oct 1, 2018, and Dec 31, 2019. Overall, 4578 (40·2%) of 11 384 admissions received antibiotic therapy in the intervention group and 4142 (42·8%) of 9673 in the control group. The unadjusted overall mean days of therapy per admission was slightly lower in the intervention group than in the control group (3·2 days of therapy per admission, SD 6·2, vs 3·5 days of therapy per admission, SD 6·8; p<0·0001), and was similar among patients receiving antibiotics (7·9 days of therapy per admission, SD 7·6, vs 8·1 days of therapy per admission, SD 8·4; p=0·50). After adjusting for confounders, there was no statistically significant difference between groups for the odds of an admission receiving antibiotics (odds ratio [OR] for intervention vs control 1·12, 95% CI 0·94-1·33). For admissions with antibiotic exposure, days of therapy per admission were also similar (incidence rate ratio 0·98, 95% CI 0·90-1·07). Overall, the CDSS was used at least once in 3466 (75·7%) of 4578 admissions with any antibiotic prescription, but from the first day of antibiotic treatment for only 1602 (58·9%) of 2721 admissions in Geneva. For those for whom the CDSS was not used from the first day, mean time to use of CDSS was 8·9 days. Based on the manual review of 1195 randomly selected charts, transition from intravenous to oral therapy was significantly more frequent in the intervention group after adjusting for confounders (154 [76·6%] of 201 vs 187 [87%] of 215, +10·4%; OR 1·9, 95% CI 1·1-3·3). Consultations by infectious disease specialists were less frequent in the intervention group (388 [13·4%] of 2889) versus the control group (405 [16·9%] of 2390; OR 0·84, 95% CI 0·59-1·25).

interpretationAn integrated multimodal computerised antibiotic stewardship intervention did not significantly reduce overall antibiotic use, the primary outcome of the study. Contributing factors were probably insufficient uptake, a setting with relatively low antibiotic use at baseline, and delays between ward admission and first CDSS use.

fundingSwiss National Science Foundation. TRANSLATIONS: For the French and Italian translations of the abstract see Supplementary Materials section.

Indexed as

Anti-Infective AgentsAntimicrobial StewardshipAdultAnti-Bacterial AgentsHospitalsHumansSwitzerlandAnti-Bacterial AgentsAnti-Infective Agents

Identifiers

PMID35870478
PMCPMC9491854
OpenAlexW4286264110

What OpenQuestion holds

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Registered trials

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.