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

Data utilisation Focus group Pig health Pig welfare Qualitative study Technology Veterinarians

Journal

Porcine health management
ISSN: 2055-5660
Titre abrégé: Porcine Health Manag
Pays: England
ID NLM: 101684126

Informations de publication

Date de publication:
10 Oct 2024
Historique:
received: 05 06 2024
accepted: 16 09 2024
medline: 11 10 2024
pubmed: 11 10 2024
entrez: 10 10 2024
Statut: epublish

Résumé

Application 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. Generally, 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. It 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.

Sections du résumé

BACKGROUND BACKGROUND
Application 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.
RESULTS RESULTS
Generally, 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.
CONCLUSIONS CONCLUSIONS
It 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.

Identifiants

pubmed: 39390537
doi: 10.1186/s40813-024-00389-3
pii: 10.1186/s40813-024-00389-3
doi:

Types de publication

Journal Article

Langues

eng

Pagination

40

Subventions

Organisme : European Union's Horizon 2020
ID : 101000494

Informations de copyright

© 2024. The Author(s).

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Auteurs

Xiao Zhou (X)

Consumer Behaviour, Institute for Environmental Decisions, ETH Zürich, Universitätstrasse 22, 8092, Zürich, Switzerland. xiao.zhou@hest.ethz.ch.

Beatriz Garcia-Morante (B)

IRTA, Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Spain.
Unitat Mixta d'Investigació IRTA-UAB en Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Spain.
WOAH Collaborating Centre for the Research and Control of Emerging and Re-Emerging Swine Diseases in Europe (IRTA-CReSA), 08193, Bellaterra, Spain.

Alison Burrell (A)

Animal Health Ireland, 2-5 The Archways, Carrick on Shannon, Co. Leitrim, N41 WN27, Ireland.

Carla Correia-Gomes (C)

Animal Health Ireland, 2-5 The Archways, Carrick on Shannon, Co. Leitrim, N41 WN27, Ireland.

Lucia Dieste-Pérez (L)

Royal GD, Arnsbergstraat 7, 7418 EZ, Deventer, The Netherlands.

Karlijn Eenink (K)

Royal GD, Arnsbergstraat 7, 7418 EZ, Deventer, The Netherlands.

Joaquim Segalés (J)

Unitat Mixta d'Investigació IRTA-UAB en Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Spain.
WOAH Collaborating Centre for the Research and Control of Emerging and Re-Emerging Swine Diseases in Europe (IRTA-CReSA), 08193, Bellaterra, Spain.
Departament de Sanitat i Anatomia Animals, Facultat de Veterinària, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.

Marina Sibila (M)

IRTA, Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Spain.
Unitat Mixta d'Investigació IRTA-UAB en Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Spain.
WOAH Collaborating Centre for the Research and Control of Emerging and Re-Emerging Swine Diseases in Europe (IRTA-CReSA), 08193, Bellaterra, Spain.

Michael Siegrist (M)

Consumer Behaviour, Institute for Environmental Decisions, ETH Zürich, Universitätstrasse 22, 8092, Zürich, Switzerland.

Tijs Tobias (T)

Royal GD, Arnsbergstraat 7, 7418 EZ, Deventer, The Netherlands.

Carles Vilalta (C)

IRTA, Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Spain.
Unitat Mixta d'Investigació IRTA-UAB en Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Spain.
WOAH Collaborating Centre for the Research and Control of Emerging and Re-Emerging Swine Diseases in Europe (IRTA-CReSA), 08193, Bellaterra, Spain.

Angela Bearth (A)

Consumer Behaviour, Institute for Environmental Decisions, ETH Zürich, Universitätstrasse 22, 8092, Zürich, Switzerland.

Classifications MeSH