Evidence map›Paper›PMID 42498468›Full record

ArticleBMJ open2026

Impact evaluation of a Prescription Search Support (PSS) for antimicrobials: protocol for a stepped-wedge cluster randomised trial in Belgian primary care.

Jan Yvan Verbakel, Hannelore Dillen, Annelien Dankaerts, Nele Michiels, Bert Vaes, Tine De Burghgraeve

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07347015 (Impact Evaluation of a Prescription Search Support), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.

NCT07347015 narecruitingnot on this map

Impact Evaluation of a Prescription Search Support (PSS) for Antimicrobials Using a Stepped-Wedge Cluster Randomized Design in Belgian Primary Care

TypeinterventionalSponsorKU LeuvenRan2025 to 2027Enrolled48ConditionsInfectious DiseasesArmsPrescription Support System (PSS)
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Jan Yvan VerbakelLeuven Unit for Health Technology Assessment Research (LUHTAR), Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0002-7166-7211
Hannelore DillenLeuven Unit for Health Technology Assessment Research (LUHTAR), Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium hannelore.dillen@kuleuven.be.ORCID http://orcid.org/0000-0002-3242-2318
Annelien DankaertsLeuven Unit for Health Technology Assessment Research (LUHTAR), Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium.
Nele MichielsFaculty of Medicine, KU Leuven, Leuven, Belgium.
Bert VaesAcademic Centre for General Practice, Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0001-5244-1930
Tine De BurghgraeveLeuven Unit for Health Technology Assessment Research (LUHTAR), Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInappropriate antibiotic prescribing in primary care remains a major driver of antimicrobial resistance, despite national guidelines and audit-and-feedback systems. Digital antimicrobial stewardship tools may support clinicians in making evidence-based prescribing decisions. The Prescription Search Support (PSS) tool translates guideline recommendations into an interactive decision tree integrated into electronic health records (EHR). This project aims to evaluate the impact of implementing the tool on antibiotic prescribing behaviour in Belgian general practice and to understand the contextual factors influencing its adoption. METHODS AND ANALYSIS: This stepped-wedge cluster randomised trial includes four steps over 12 months. Belgian general practices were randomised in a 1:3:3:3 ratio using stratified block randomisation. All practices start in the control condition, where physicians are expected to provide usual care. At each step, one cluster transitions to the intervention, where PSS becomes accessible through the EHR. The primary objective is to assess whether the implementation of the tool reduces practice-level antibiotic prescribing rates. The primary analysis will use generalised linear mixed models with a logit link, accounting for clustering, time effects and relevant covariates. Secondary analyses include subgroup analyses by region, EHR vendor and intensity of tool use. A nested process evaluation, combining user log file analysis and semistructured interviews, will assess usability, acceptability, fidelity and mechanisms of impact. Sample size calculations indicate that at least 36-48 practices are required to detect a 5% absolute reduction in prescribing with 80% power. All quantitative analyses will be performed in R, and qualitative data will be analysed using reflexive thematic analysis. ETHICS AND DISSEMINATION: The study will be conducted in compliance with the principles of the Declaration of Helsinki (current version) and the principles of Good Clinical Practice and in accordance with all applicable regulatory requirements. Ethics approval for this study was obtained on 10 October 2025 from the Ethical Committee Research UZ/KU Leuven under reference MP037810. We will ensure that the findings of the study will be disseminated to relevant stakeholders beyond the scientific world including the public, healthcare providers and policy makers. The process evaluation that is part of this trial will inform the further implementation strategy. It will be essential to educate physicians on using this new PSS tool in daily practice. TRIAL REGISTRATION NUMBER: NCT07347015.

Indexed as

Anti-Bacterial AgentsAntimicrobial StewardshipInappropriate PrescribingPractice Patterns, Physicians'BelgiumCluster AnalysisElectronic Health RecordsGuideline AdherenceHumansPrimary Health CareRandomized Controlled Trials as TopicResearch DesignAnti-Bacterial AgentsAnti-Bacterial AgentsElectronic Health RecordsGeneral PracticePrimary Health CareQuality Improvement

Identifiers

PMID42498468
PMCPMC13404404

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.