Trial reportBMC health services research2020
A clinical decision support system improves antibiotic therapy for upper urinary tract infection in a randomized single-blinded study.
Trial report in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Factors influencing the implementation of decision support systems for antibiotic prescription in hospitals: a systematic review.BMC medical informatics and decision making · 2023Pooled it
- Performance of a clinical decision-support tool on empirical antibiotic treatment in the emergency department: a retrospective study.JAC-antimicrobial resistance · 2026Article
- Optimizing antimicrobial stewardship in urology: a qualitative study on needs, values and requirements for clinical decision support.Infection prevention in practice · 2026Article
- An AI-Based Clinical Decision Support System for Antibiotic Therapy in Sepsis (KINBIOTICS): Use Case Analysis.JMIR human factors · 2025Article
- The Role of Stratified Cumulative Antibiograms in the (Choice of Appropriate Antibiotics in Urinary Tract Infection) Management of Urinary Tract Infections.Pathogens (Basel, Switzerland) · 2025Article
- Can we rely on artificial intelligence to guide antimicrobial therapy? A systematic literature review.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025Article
- Development and evaluation of a shared decision-making system for choosing the type of bariatric surgery.BMC medical informatics and decision making · 2024Article
- Artificial Intelligence to support ethical decision-making for incapacitated patients: a survey among German anesthesiologists and internists.BMC medical ethics · 2024Article
- Adherence to Antibiotic Prescription Guidelines in Four Community Hospitals in Germany.Antibiotics (Basel, Switzerland) · 2024Article
- Are physicians ready for precision antibiotic prescribing? A qualitative analysis of the acceptance of artificial intelligence-enabled clinical decision support systems in India and Singapore.Journal of global antimicrobial resistance · 2023Article
- [Factors influencing the implementation of AI-based decision support systems for antibiotic prescription in hospitals: a qualitative analysis from the perspective of health professionals].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2023Article
- Comments by Microbiologists for Interpreting Antimicrobial Susceptibility Testing and Improving the Appropriateness of Antibiotic Therapy in Community-Acquired Urinary Tract Infections: A Randomized Double-Blind Digital Case-Vignette Controlled Superiority Trial.Antibiotics (Basel, Switzerland) · 2023Article
- Achieving universal health coverage in low- and middle-income countries through digital antimicrobial stewardship.Frontiers in digital health · 2023Article
- Article
- Decreased Overall and Inappropriate Antibiotic Prescribing in a Veterans Affairs Hospital Emergency Department following a Peer Comparison-Based Stewardship Intervention.Antimicrobial agents and chemotherapy · 2020Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDue to increasing bacterial resistance rates choosing a correct empiric antibiotic therapy is getting more and more complex. Often medical doctors use information tools to make the right treatment choice.
methodsOne hundred sixty six participants (77 medical doctors and 89 medical students) were asked to provide a diagnosis and antibiotic therapy in a simple fictive paper case of upper urinary tract infection (UTI) in a randomized single-blinded study. Participants were randomized to one of four information tools they were allowed to use in the study or control: 1. free internet access, 2. pharmaceutical pocket guide, 3. pocket guide antibiotic therapy, 4. clinical decision support system (CDSS), and control (no information tool). The CDSS was designed for the study. The adherence to the national German UTI guideline was evaluated.
resultsOnly 27.1% (n = 45/166) provided a correct diagnosis of upper UTI and 19.4% (n = 32/166) an antibiotic treatment recommended by national German treatment guidelines indicating their need for information tools. This result was not significantly different between medical doctors and medical students, residents and medical specialists or level of working experience. Using CDSS improved results significantly compared to conventional tools (diagnosis 57.1%; treatment recommendation 40.5%; p < 0,01). Processing time was not different between the use of CDSS and conventional information tools. CDSS users based their decision making on their assigned information tool more than users of conventional tools (73.8% vs. 48.0%; p < 0.01). Using CDSS improved the confidence of participants in their recommendation significantly compared to conventional tools (p < 0.01).
conclusionsOur study suggests that medical professionals require information tools in diagnosing and treating a simple case of upper UTI correctly. CDSS appears to be superior to conventional tools as an information source.
Indexed as
Identifiers
What OpenQuestion holds
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.