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.
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.
What it found
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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.
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.
Improvement of Antibiotic Use in Hospitals Through Pragmatic, Multifaceted, Computerized Interventions: a Multicentre, Cluster-randomized Trial - COMPASS Study (COMPuterized Antibiotic Stewardship Study)
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Audit and feedback: effects on professional practice.The Cochrane database of systematic reviews · 2025Pooled it
- Effect of a Feedback Visit and a Clinical Decision Support System Based on Antibiotic Prescription Audit in Primary Care: Multiarm Cluster-Randomized Controlled Trial.Journal of medical Internet research · 2024Trial
- Impact of an integrated electronic Clinical Decision Support System with proactive Antimicrobial Stewardship Feedback on prescribing appropriateness: a 2-year single-centre time-series analysis.JAC-antimicrobial resistance · 2026Article
- A bibliometric analysis of the application trends of information technology in antimicrobial stewardship within hospitals.European journal of hospital pharmacy : science and practice · 2026Article
- Optimizing antimicrobial stewardship in urology: a qualitative study on needs, values and requirements for clinical decision support.Infection prevention in practice · 2026Article
- [Requirements for the rational use of antibiotics based on antibiotic stewardship].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2026Review
- Investigating the Effect of Hospital Infection Control Informatization on Optimizing Microbiological Specimen Submission Before Antibiotic Therapy: Failure Mode and Effects Analysis.Journal of medical Internet research · 2026Article
- Algorithmic antibiotic decision-making in urinary tract infection using prescriber-informed prediction of treatment utility.NPJ digital medicine · 2026Article
- 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 · 2025Observational
- Proactive antimicrobial stewardship with real-time microbiological alerts improves management of bloodstream infections.JAC-antimicrobial resistance · 2025Article
- Leveraging electronic medical records to evaluate a computerized decision support system for staphylococcus bacteremia.NPJ digital medicine · 2025Article
- An AI-Based Clinical Decision Support System for Antibiotic Therapy in Sepsis (KINBIOTICS): Use Case Analysis.JMIR human factors · 2025Article
- AI driven decision support reduces antibiotic mismatches and inappropriate use in outpatient urinary tract infections.NPJ digital medicine · 2025Article
- Applying the Learning Health System framework to overcome barriers in antimicrobial decision support: lessons from the Guidance redesign.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025Article
- Computerized decision support for antimicrobial prescribing: what every antibiotic steward should know.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025Article
- Multidisciplinary administrative-professional-technical interventions to optimize antibiotic use and reduce resistance in a tertiary general hospital.Frontiers in pharmacology · 2025Article
- Ten golden rules for optimal antibiotic use in hospital settings: the WARNING call to action.World journal of emergency surgery : WJES · 2023Review
- Assessing the conversion of electronic medical record data into antibiotic stewardship indicators.The Journal of antimicrobial chemotherapy · 2023Observational
- Machine learning applications on neonatal sepsis treatment: a scoping review.BMC infectious diseases · 2023Article
Corrections and comments
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Authors and funding
21 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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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.