Evidence map›Paper›PMID 33665467›Full record

ArticleContemporary clinical trials communications2021

Antibiotic prescription monitoring and feedback in primary care in Switzerland: Design and rationale of a nationwide pragmatic randomized controlled trial.

Dominik Glinz, Kimberly A Mc Cord, Giusi Moffa, Soheila Aghlmandi, Ramon Saccilotto, Andreas Zeller, Andreas F Widmer, Julia Bielicki, Andreas Kronenberg, Heiner C Bucher

Abstract read
In one paragraph

Article in Contemporary clinical trials communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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

2 citing papers in PubMed.

  1. Trial
  2. Article
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

10 authors.

Dominik GlinzBasel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland.
Kimberly A Mc CordBasel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland.
Giusi MoffaDepartment of Mathematics and Computer Science, University of Basel, Basel, Switzerland.
Soheila AghlmandiBasel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland.
Ramon SaccilottoBasel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland.
Andreas ZellerCentre for Primary Health Care, University of Basel, Basel, Switzerland.
Andreas F WidmerDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland.
Julia BielickiInfectious Diseases and Vaccinology, University of Basel Children's Hospital, Switzerland.
Andreas KronenbergInstitute for Infectious Diseases, University of Bern, Bern, Switzerland.
Heiner C BucherBasel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAntibiotic consumption is highest in primary care, and antibiotic overuse furthers antimicrobial resistance. In our recently published pilot-RCT, we used monthly aggregated claims data to provide personalized antibiotic prescription feedback to general practitioners (GPs). The pilot-RCT has shown that personalized prescription feedback is a feasible and promising low-cost intervention to reduce antibiotic prescribing. Here, we describe the rationale and design of the follow-up RCT with 3426 GPs in Switzerland. We now have access to pseudonymized patient-level data from routinely collected health insurance data of the three largest health insurers in Switzerland. METHODS AND ANALYSIS: 1713 GPs randomized to the intervention group received once evidence-based treatment guidelines at the beginning, including region-specific antibiotic resistance information from the community and personalized feedback of their antibiotic prescribing, followed by quarterly personalized prescription feedback for two years. The first and the last mailings were sent out in December 2017 and September 2019, respectively. The 1713 GPs randomized to the control group were not notified about the study and they received no guidelines and no prescription feedback. The personalized prescription feedbacks and the analyses of the primary and secondary outcomes are entirely based on pseudonymized patient-level data from routinely collected health insurance data. The primary outcome is prescribed antibiotics per 100 patient consultations during the second year of intervention. The secondary outcomes include antibiotic use during the entire two-year trial period, use of broad-spectrum antibiotics, hospitalization rates (all-cause and infection-related), and antibiotic use in different age groups. If the feedback intervention proves to be efficacious, the intervention could be continued systemwide. ETHICS AND DISSEMINATION: The trial is publicly funded by the Swiss National Science Foundation (SNSF, grant number 407240_167066). The trial was approved by the ethics committee "Ethikkommission Nordwest-und Zentralschweiz" (EKNZ Project-ID 2017-00888). Results will be disseminated in peer-reviewed journals and international conferences.

Indexed as

AntibioticsAntimicrobial resistanceCI, confidence intervalClaimsCONSORT, consolidated standards of reporting trialsDRG, Diagnosis Related GroupsEKNZ, Ethikkommission Nordwest-und ZentralschweizFMH, Foederatio Medicorum HelveticorumGP, general practitionersHealth-system levelHospitalizationHRA, Human Research ActHRO, Human Research OrdinanceLow-cost interventionPrescription feedbackPrimary careRCT, randomized controlled trialsRoutinely collected patient dataZSR, Zentralregisternummer

Identifiers

PMID33665467
PMCPMC7897989

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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.