Evidence map›Paper›PMID 34124214›Full record

ArticleFrontiers in veterinary science2021

Using Expert Elicitation to Abridge the Welfare Quality® Protocol for Monitoring the Most Adverse Dairy Cattle Welfare Impairments.

Frank A M Tuyttens, Sophie de Graaf, Sine Norlander Andreasen, Alice de Boyer des Roches, Frank J C M van Eerdenburg, Marie J Haskell, Marlene K Kirchner, Luc Mounier, Miroslav Kjosevski, Jo Bijttebier and 3 more

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
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

13 authors.

Frank A M TuyttensAnimal Sciences Unit, Institute for Agricultural and Fisheries Research (ILVO), Merelbeke, Belgium.
Sophie de GraafAnimal Sciences Unit, Institute for Agricultural and Fisheries Research (ILVO), Merelbeke, Belgium.
Sine Norlander AndreasenDepartment of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark.
Alice de Boyer des RochesUniversité Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France.
Frank J C M van EerdenburgDepartment of Veterinary and Animal Sciences, Section of Animal Welfare and Disease Control, University of Copenhagen, Frederiksberg, Denmark.
Marie J HaskellScotland's Rural College, Department of Population Health Sciences, Section Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands.
Marlene K KirchnerAnimal Behavior and Welfare, Animal and Veterinary Sciences, SRUC, Edinburgh, United Kingdom.
Luc MounierUniversité Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France.
Miroslav KjosevskiAnimal Welfare Center, Faculty of Veterinary Medicine, Ss. Cyril and Methodius University in Skopje, Skopje, North Macedonia.
Jo BijttebierAnimal Sciences Unit, Institute for Agricultural and Fisheries Research (ILVO), Merelbeke, Belgium.
Ludwig LauwersAnimal Sciences Unit, Institute for Agricultural and Fisheries Research (ILVO), Merelbeke, Belgium.
Wim VerbekeDepartment of Agricultural Economics, Ghent University, Ghent, Belgium.
Bart AmpeAnimal Sciences Unit, Institute for Agricultural and Fisheries Research (ILVO), Merelbeke, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Welfare Quality® consortium has developed and proposed standard protocols for monitoring farm animal welfare. The uptake of the dairy cattle protocol has been below expectation, however, and it has been criticized for the variable quality of the welfare measures and for a limited number of measures having a disproportionally large effect on the integrated welfare categorization. Aiming for a wide uptake by the milk industry, we revised and simplified the Welfare Quality® protocol into a user-friendly tool for cost- and time-efficient on-farm monitoring of dairy cattle welfare with a minimal number of key animal-based measures that are aggregated into a continuous (and thus discriminative) welfare index (WI). The inevitable subjective decisions were based upon expert opinion, as considerable expertise about cattle welfare issues and about the interpretation, importance, and validity of the welfare measures was deemed essential. The WI is calculated as the sum of the severity score (i.e., how severely a welfare problem affects cow welfare) multiplied with the herd prevalence for each measure. The selection of measures (lameness, leanness, mortality, hairless patches, lesions/swellings, somatic cell count) and their severity scores were based on expert surveys (14-17 trained users of the Welfare Quality® cattle protocol). The prevalence of these welfare measures was assessed in 491 European herds. Experts allocated a welfare score (from 0 to 100) to 12 focus herds for which the prevalence of each welfare measure was benchmarked against all 491 herds. Quadratic models indicated a high correspondence between these subjective scores and the WI (

Indexed as

aggregationanimal welfarecompensationdairy cattleindexintegrationwelfare assessment

Identifiers

PMID34124214
PMCPMC8193125

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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.