Evidence map›Paper›PMID 39897157›Full record

ArticleFrontiers in veterinary science2024

Data recording and use of data tools for pig health management: perspectives of stakeholders in pig farming.

Xiao Zhou, Andrea Knörr, Beatriz Garcia Morante, Carla Correia-Gomes, Lucia Dieste Pérez, Joaquim Segalés, Marina Sibila, Carles Vilalta, Alison Burrell, Tijs Tobias and 2 more

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2024. 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. Article
  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

12 authors.

Xiao ZhouConsumer Behavior, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Andrea KnörrConsumer Behavior, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Beatriz Garcia MoranteInstitute of Agrifood Research and Technology (IRTA), Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB), Cerdanyola del Vallès, Spain.
Carla Correia-GomesAnimal Health Ireland, Carrick-on-Shannon, Ireland.
Lucia Dieste PérezRoyal GD, Deventer, Netherlands.
Joaquim SegalésUnitat Mixta d'Investigació IRTA-UAB en Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), Barcelona, Spain.
Marina SibilaInstitute of Agrifood Research and Technology (IRTA), Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB), Cerdanyola del Vallès, Spain.
Carles VilaltaInstitute of Agrifood Research and Technology (IRTA), Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB), Cerdanyola del Vallès, Spain.
Alison BurrellAnimal Health Ireland, Carrick-on-Shannon, Ireland.
Tijs TobiasRoyal GD, Deventer, Netherlands.
Michael SiegristConsumer Behavior, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Angela BearthConsumer Behavior, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Data-driven strategies might combat the spreading of infectious pig disease and improve the early detection of potential pig health problems. The current study aimed to explore individual views on data recording and use of data tools for pig health management by recruiting stakeholders ( Methods: Questionnaire focused on current on-farm challenges, current status of data recording on farms, and evaluation of the two mock data tools. Particularly, "benchmarking tool" was designed to visualize individual farm's pig mortality, targeting the management of infectious respiratory and gastrointestinal diseases; and "early-warning tool" was designed to generate an alarm through monitoring coughs in pigs, targeting the management of infectious respiratory diseases. Results: Results showed that respiratory and gastrointestinal diseases and aggressive behaviors were the most frequently mentioned health challenge and welfare challenge, respectively. Most of the data was more frequently recorded electronically than on paper. In general, the "benchmarking tool" was perceived as useful for the management of infectious respiratory and gastrointestinal diseases, and the "early-warning tool" was evaluated as useful for the management of infectious respiratory diseases. Several barriers to the perceived usefulness of these two tools were identified, such as the lack of contextual information, inconvenience of data input, limited internet access, reliance on one's own experience and observation, technical hurdles, and mistrust of information output. The perceived usefulness of both tools was higher among highly educated participants, and those who reported being integrators and positive toward technology for disease control. Female participants and those who came from integrated farms evaluated the "early-warning tool" as more useful compared to their counterparts. The perceived usefulness of the "early-warning tool" was negatively affected by age and work experience, but positively affected by extensiveness of data recording, positive attitude toward technology, and the current use of technology. Discussion: In summary, participants showed optimistic views on the use of data tools to support their decision-making and management of infectious pig respiratory and gastrointestinal diseases. It is noteworthy that data tools should not only convey the value of data for informed decision-making but also consider stakeholders' preconditions and needs for data tools.

Indexed as

data toolspig farmingpig healthsensoringsmart farming

Identifiers

PMID39897157
PMCPMC11782995

What OpenQuestion holds

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LicenceCC BY
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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.