Evidence map›Paper›PMID 39390537›Full record

ArticlePorcine health management2024

How do pig veterinarians view technology-assisted data utilisation for pig health and welfare management? A qualitative study in Spain, the Netherlands, and Ireland.

Xiao Zhou, Beatriz Garcia-Morante, Alison Burrell, Carla Correia-Gomes, Lucia Dieste-Pérez, Karlijn Eenink, Joaquim Segalés, Marina Sibila, Michael Siegrist, Tijs Tobias and 2 more

Abstract read
In one paragraph

Article in Porcine health management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

12 authors.

Xiao ZhouConsumer Behaviour, Institute for Environmental Decisions, ETH Zürich, Universitätstrasse 22, 8092, Zürich, Switzerland. xiao.zhou@hest.ethz.ch.
Beatriz Garcia-MoranteIRTA, Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Spain.
Alison BurrellAnimal Health Ireland, 2-5 The Archways, Carrick on Shannon, Co. Leitrim, N41 WN27, Ireland.
Carla Correia-GomesAnimal Health Ireland, 2-5 The Archways, Carrick on Shannon, Co. Leitrim, N41 WN27, Ireland.
Lucia Dieste-PérezRoyal GD, Arnsbergstraat 7, 7418 EZ, Deventer, The Netherlands.
Karlijn EeninkRoyal GD, Arnsbergstraat 7, 7418 EZ, Deventer, The Netherlands.
Joaquim SegalésUnitat Mixta d'Investigació IRTA-UAB en Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Spain.
Marina SibilaIRTA, Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Spain.
Michael SiegristConsumer Behaviour, Institute for Environmental Decisions, ETH Zürich, Universitätstrasse 22, 8092, Zürich, Switzerland.
Tijs TobiasRoyal GD, Arnsbergstraat 7, 7418 EZ, Deventer, The Netherlands.
Carles VilaltaIRTA, Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Spain.
Angela BearthConsumer Behaviour, Institute for Environmental Decisions, ETH Zürich, Universitätstrasse 22, 8092, Zürich, Switzerland.

Funding

European Union's Horizon 2020 101000494
6 · The paper itself

Abstract

backgroundApplication of data-driven strategies may support veterinarians' decision-making, benefitting pig disease prevention and control. However, little is known about veterinarians' need for data utilisation to support their decision-making process. The current study used qualitative methods, specifically focus group discussions, to explore veterinarians' views on data utilisation and their need for data tools in relation to pig health and welfare management in Spain, the Netherlands, and Ireland.

resultsGenerally, veterinarians pointed out the potential benefits of using technology for pig health and welfare management, but data is not yet structurally available to support their decision-making. Veterinarians pointed out the challenge of collecting, recording, and accessing data in a consistent and timely manner. Besides, the reliability, standardisation, and the context of data were identified as important factors affecting the efficiency and effectiveness of data utilisation by veterinarians. A user-friendly, adaptable, and integrated data tool was regarded as potentially helpful for veterinarians' daily work and supporting their decision-making. Specifically, veterinarians, particularly independent veterinary practitioners, noted a need for easy access to pig information. Veterinarians such as those working for integrated companies, corporate veterinarians, and independent veterinary practitioners expressed their need for data tools that provide useful information to monitor pig health and welfare in real-time, to visualise the prevalence of endemic disease based on a shared report between farmers, veterinarians, and other professional parties, to support decision-making, and to receive early warnings for disease prevention and control.

conclusionsIt is concluded that the management of pig health and welfare may benefit from data utilisation if the quality of data can be assured, the data tools can meet veterinarians' needs for decision-making, and the collaboration of sharing data and using data between farmers, veterinarians, and other professional parties can be enhanced. Nevertheless, several notable technical and institutional barriers still exist, which need to be overcome.

Indexed as

Data utilisationFocus groupPig healthPig welfareQualitative studyTechnologyVeterinarians

Identifiers

PMID39390537
PMCPMC11468428

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.