Evidence map›Paper›PMID 40775321›Full record

ArticleBMC veterinary research2025

Quality assessment of antibiotic use data in the Norwegian veterinary prescription register for 2023.

Trishang Udhwani, Kari Grave, Petter Hopp, Kari Olli Helgesen

Abstract read
In one paragraph

Article in BMC veterinary research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Trishang UdhwaniNorwegian Veterinary Institute, Elizabeth Stephansens vei 1, Ås, 1433, Norway.
Kari GraveNorwegian Veterinary Institute, Elizabeth Stephansens vei 1, Ås, 1433, Norway.
Petter HoppNorwegian Veterinary Institute, Elizabeth Stephansens vei 1, Ås, 1433, Norway.
Kari Olli HelgesenNorwegian Veterinary Institute, Elizabeth Stephansens vei 1, Ås, 1433, Norway. kari.helgesen@vetinst.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntibiotic use data in animals is of interest to understand the development and occurrence of antibiotic resistance from a One Health perspective. Since 2023, it has been mandatory to collect and report data on antibiotic use per animal species or subcategory of species for cattle, pigs, chickens and turkeys in all EU and EEA countries. Norway collects data on use of medicines for animals through the Norwegian Veterinary Prescription Register (VetReg). It is mandatory for veterinarians to report the use of all medicines for food-producing animals and for pharmacies to report to VetReg all medicines dispensed to animal owners for all animal species and to veterinarians. The aim of our study was to evaluate the quality of antibiotic VetReg data for 2023, focusing on the information required to fulfill reporting of use data in accordance with the EU-requirements. The quality attributes, accuracy of data and timeliness of reporting, were evaluated using VetReg data, and completeness was evaluated by comparing VetReg data with sales statistics from wholesalers.

resultsIn general, accuracy varied between the variables and within a variable, depending on whether veterinarians or pharmacies were the data source. For example, 97% of veterinary records included the required subcategory of the animal species, while only 17% of the pharmacy's records did. Antibiotic use data in VetReg were calculated to cover 85% of the antibiotics sold by wholesaler to pharmacies. Timeliness also varied - i.e. pharmacies reported almost immediately after dispensing, while 29% of veterinary records were not reported within the deadline of seven days.

conclusionsAntibiotic use data for animals in Norway in 2023 could be reported to EMA using VetReg data. The data were, however, not fully accurate and complete. This study revealed several specific accuracy issues and issues with timeliness of reporting. These findings provide the basis for targeted quality improvement measures and can be transformed to metrics suitable to track the progress of the ongoing quality improvement work.

Indexed as

Anti-Bacterial AgentsRegistriesVeterinary MedicineAnimalsData AccuracyNorwayVeterinary DrugsAnti-Bacterial AgentsVeterinary DrugsAnimal health dataAntibiotic use dataData accuracyData completenessData qualityData timelinessData validationSecondary data

Identifiers

PMID40775321
PMCPMC12333288

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Registered trials

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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.