Influence of professional affiliation on expert’s view on welfare measures

Research output: Contribution to journalJournal articleResearchpeer-review

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Influence of professional affiliation on expert’s view on welfare measures. / Otten, Nina Dam; Rousing, Tine; Forkman, Björn.

In: Animals, Vol. 7, No. 11, 85, 11.2017.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Otten, ND, Rousing, T & Forkman, B 2017, 'Influence of professional affiliation on expert’s view on welfare measures', Animals, vol. 7, no. 11, 85. https://doi.org/10.3390/ani7110085

APA

Otten, N. D., Rousing, T., & Forkman, B. (2017). Influence of professional affiliation on expert’s view on welfare measures. Animals, 7(11), [85]. https://doi.org/10.3390/ani7110085

Vancouver

Otten ND, Rousing T, Forkman B. Influence of professional affiliation on expert’s view on welfare measures. Animals. 2017 Nov;7(11). 85. https://doi.org/10.3390/ani7110085

Author

Otten, Nina Dam ; Rousing, Tine ; Forkman, Björn. / Influence of professional affiliation on expert’s view on welfare measures. In: Animals. 2017 ; Vol. 7, No. 11.

Bibtex

@article{195b69fd07b940b0be885ee27ed67fb8,
title = "Influence of professional affiliation on expert{\textquoteright}s view on welfare measures",
abstract = "The present study seeks to investigate the influence of expert affiliation in the weighing procedures within animal welfare assessments. Experts are often gathered with different backgrounds with differing approaches to animal welfare posing a potential pitfall if affiliation groups are not balanced in numbers of experts. At two time points (2012 and 2016), dairy cattle and swine experts from four different stakeholder groups, namely researchers (RES), production advisors (CONS), practicing veterinarians (VET) and animal welfare control officers (AWC) were asked to weigh eight different welfare criteria: Hunger, Thirst, Resting comfort, Ease of movement, Injuries, Disease, Human-animal bond and Emotional state. A total of 54 dairy cattle experts (RES = 15%, CONS = 22%, VET = 35%, AWC = 28%) and 34 swine experts (RES = 24%, CONS = 35%, AWC = 41%) participated. Between—and within—group differences in the prioritization of criteria were assessed. AWC cattle experts differed consistently from the other cattle expert groups but only significantly for the criteria Hunger (p = 0.04), and tendencies towards significance within the criteria Thirst (p = 0.06). No significant differences were found between expert groups among swine experts. Inter-expert differences were more pronounced for both species. The results highlight the challenges of using expert weightings in aggregated welfare assessment models, as the choice of expert affiliation may play a confounding role in the final aggregation due to different prioritization of criteria.",
keywords = "Animal welfare, Expert opinion, Stakeholders",
author = "Otten, {Nina Dam} and Tine Rousing and Bj{\"o}rn Forkman",
year = "2017",
month = nov,
doi = "10.3390/ani7110085",
language = "English",
volume = "7",
journal = "Animals",
issn = "2076-2615",
publisher = "MDPI",
number = "11",

}

RIS

TY - JOUR

T1 - Influence of professional affiliation on expert’s view on welfare measures

AU - Otten, Nina Dam

AU - Rousing, Tine

AU - Forkman, Björn

PY - 2017/11

Y1 - 2017/11

N2 - The present study seeks to investigate the influence of expert affiliation in the weighing procedures within animal welfare assessments. Experts are often gathered with different backgrounds with differing approaches to animal welfare posing a potential pitfall if affiliation groups are not balanced in numbers of experts. At two time points (2012 and 2016), dairy cattle and swine experts from four different stakeholder groups, namely researchers (RES), production advisors (CONS), practicing veterinarians (VET) and animal welfare control officers (AWC) were asked to weigh eight different welfare criteria: Hunger, Thirst, Resting comfort, Ease of movement, Injuries, Disease, Human-animal bond and Emotional state. A total of 54 dairy cattle experts (RES = 15%, CONS = 22%, VET = 35%, AWC = 28%) and 34 swine experts (RES = 24%, CONS = 35%, AWC = 41%) participated. Between—and within—group differences in the prioritization of criteria were assessed. AWC cattle experts differed consistently from the other cattle expert groups but only significantly for the criteria Hunger (p = 0.04), and tendencies towards significance within the criteria Thirst (p = 0.06). No significant differences were found between expert groups among swine experts. Inter-expert differences were more pronounced for both species. The results highlight the challenges of using expert weightings in aggregated welfare assessment models, as the choice of expert affiliation may play a confounding role in the final aggregation due to different prioritization of criteria.

AB - The present study seeks to investigate the influence of expert affiliation in the weighing procedures within animal welfare assessments. Experts are often gathered with different backgrounds with differing approaches to animal welfare posing a potential pitfall if affiliation groups are not balanced in numbers of experts. At two time points (2012 and 2016), dairy cattle and swine experts from four different stakeholder groups, namely researchers (RES), production advisors (CONS), practicing veterinarians (VET) and animal welfare control officers (AWC) were asked to weigh eight different welfare criteria: Hunger, Thirst, Resting comfort, Ease of movement, Injuries, Disease, Human-animal bond and Emotional state. A total of 54 dairy cattle experts (RES = 15%, CONS = 22%, VET = 35%, AWC = 28%) and 34 swine experts (RES = 24%, CONS = 35%, AWC = 41%) participated. Between—and within—group differences in the prioritization of criteria were assessed. AWC cattle experts differed consistently from the other cattle expert groups but only significantly for the criteria Hunger (p = 0.04), and tendencies towards significance within the criteria Thirst (p = 0.06). No significant differences were found between expert groups among swine experts. Inter-expert differences were more pronounced for both species. The results highlight the challenges of using expert weightings in aggregated welfare assessment models, as the choice of expert affiliation may play a confounding role in the final aggregation due to different prioritization of criteria.

KW - Animal welfare

KW - Expert opinion

KW - Stakeholders

U2 - 10.3390/ani7110085

DO - 10.3390/ani7110085

M3 - Journal article

C2 - 29140262

AN - SCOPUS:85036511138

VL - 7

JO - Animals

JF - Animals

SN - 2076-2615

IS - 11

M1 - 85

ER -

ID: 187047791