Extending ideas about animal welfare assessment to include ‘quality of life’ and related concepts

2011 ◽  
Vol 59 (6) ◽  
pp. 263-271 ◽  
Author(s):  
TC Green ◽  
DJ Mellor
Animals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 999
Author(s):  
Molly Ryan ◽  
Ryan Waters ◽  
Sarah Wolfensohn

The Animal Welfare Assessment Grid (AWAG) is a method for assessing quality of life, originally designed for experimental primates. This study adapts the AWAG for use in cattle and pigs, by adapting the factors included for these species and including data which had been collected previously as the standard approach to monitoring these species in research. The intention is that the results presented here will allow the future data collected for experimental cattle and pigs to be optimised for inclusion in an AWAG. Data were collected from two vaccine assessment studies at the Pirbright Institute. Factors were scored for every recorded event using retrospective data and CCTV clips. There was a lack of behavioural data recorded in both studies, which limited the accuracy of assessing each animal’s welfare. This paper emphasises the importance of including behavioural information when assessing welfare and not simply relying on assessment of physical condition. Scores peaked following an exponential rise as animals reached set humane end points. This demonstrated the potential of using the AWAG to aid the decision-making of when euthanasia should be performed. Our study shows the AWAG to be a useful tool for assessing welfare, which can be used in harm:benefit assessment.


Animals ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 1054 ◽  
Author(s):  
Sarah Wolfensohn

The recognition of animal suffering is influenced by cultural and societal prejudices and the cuteness of an animal leads to bias in the way it is treated. It is important to consider the animal’s behaviour and its environment—not just its physical condition—when assessing its quality of life. The Animal Welfare Assessment Grid (AWAG) is a useful tool for this purpose. The AWAG offers an evidence-based tool for continual welfare assessment, using technology where appropriate, such as digital activity recording, to facilitate decision-making and lead to improvements in the animals’ quality of life. It is highly adaptable to any species by assessing the four parameters of physical health, psychological wellbeing, environmental quality, and clinical and management procedural events. The outcome of assessing welfare should be action to improve it. Societal ethics and policy-making lead to legislation balancing the values we hold for different species. Influencing policy development in such matters as animal welfare, ecological conservation, and risks to humans requires a focus on public attitudes to, and understanding of, science, as well as consideration of potential unforeseen consequences of the social/environmental/economic impacts of policies.


2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 468-468
Author(s):  
Sharon Kuca ◽  
Lindsey McKinney ◽  
Cia Johnson

Abstract Established in 2001, the Animal Welfare Assessment Contest® (AWJAC®) aims to be an innovative educational tool for enhancing understanding and awareness of welfare issues affecting animals used for human purposes (e.g., research, agriculture, entertainment, companionship). The contest is open to participation by veterinary, undergraduate, and graduate students who may participate as individuals or as part of a team. A limited number of veterinarians are also eligible to compete as non-placing participants. Participation in the contest entails assessment of live and computer-based scenarios encompassing data, photographs, and videos of animals in comparable situations. Students then use the information obtained to rank the welfare of the animals in those situations on the basis of physiologic and behavioral indicators, with attention to facilities and management, and present their analyses orally to expert judges. The species featured change each year of the contest. At the completion of each contest, participants and coaches are asked to anonymously complete a written survey. The quantitative and qualitative results of this survey are used to determine if the contest has achieved its aims and incorporate suggestions for improvement of future contests. The majority of survey respondents from the five contests held between 2014–2018 report they either strongly agree or agree that the AWJAC increased their knowledge of animal welfare science (98%, n = 549) and was an overall valuable experience (99%, n = 547) that they would recommend to their peers (98%, n = 550). Respondents cited networking opportunities and diversity of species featured in the contest as key reasons the contest is valuable. Given these results, the AWJAC is successfully achieving its aims to increase animal welfare knowledge in an innovative way.


2018 ◽  
Vol 101 (3) ◽  
pp. 2359-2369 ◽  
Author(s):  
M. Villettaz Robichaud ◽  
J. Rushen ◽  
A.M. de Passillé ◽  
E. Vasseur ◽  
D.B. Haley ◽  
...  

2018 ◽  
Vol 182 (5) ◽  
pp. 148.1-148

Every veterinary professional dedicates their career to ensuring the health and welfare of animals committed to their care. But what does this mean for the modern vet? This question, explains Erika Singh, Animal Welfare Foundation (AWF) Manager, will be explored at this year’s AWF Discussion Forum.


2021 ◽  
pp. 125-140
Author(s):  
Jacky Reid ◽  
Andrea Nolan ◽  
Marian Scott

Abstract Animal welfare research is gradually moving towards inclusion of positive welfare, with the consideration of how animals can be provided a good life or a life worth living. The concept of quality of life, which originates from human medical sciences, definitely contributes to this. In this chapter the developers of the health-related quality of life tool for dogs share their expertise.


Animals ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 398 ◽  
Author(s):  
Friedrich ◽  
Krieter ◽  
Kemper ◽  
Czycholl

The present study’s aim was to assess the test−retest reliability (TRR) of the ‘Welfare Quality® animal welfare assessment protocol for sows and piglets’ focusing on the welfare principle ‘appropriate behavior’. TRR was calculated using Spearman’s rank correlation coefficient (RS), intraclass correlation coefficient (ICC), smallest detectable change (SDC), and limits of agreement (LoA). Principal component analysis (PCA) was used for deeper analysis of the Qualitative Behavior Assessment (QBA). The study was conducted on thirteen farms in Northern Germany, which were visited five times by the same observer. Farm visits 1 (F1; day 0) were compared to farm visits 2 to 5 (F2–F5). The QBA indicated no TRR when applying the statistical parameters introduced above (e.g., ‘playful‘ (F1–F4) RS 0.08 ICC 0.00 SDC 0.50 LoA [−0.62, 0.38]). The PCA detected contradictory TRR. Acceptable TRR could be found for parts of the instantaneous scan sampling (e.g., negative social behavior (F1–F3) RS 0.45 ICC 0.37 SDC 0.02 LoA [−0.03, 0.02]). The human−animal relationship test solely achieved poor TRR, whereas scans for stereotypies showed sufficient TRR (e.g., floor licking (F1–F4) RS 0.63 ICC 0.52 SDC 0.05 LoA [−0.08, 0.04]). Concluding, the principle ‘appropriate behavior’ does not represent TRR and further investigation is needed before implementation on-farm.


Animals ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1597 ◽  
Author(s):  
Y. Baby Kaurivi ◽  
Richard Laven ◽  
Rebecca Hickson ◽  
Tim Parkinson ◽  
Kevin Stafford

Potential measures suitable for assessing welfare in pasture-based beef cow–calf systems in New Zealand were identified from Welfare Quality and UC Davis Cow-Calf protocols. These were trialled on a single farm and a potential protocol of 50 measures created. The aim of this study was to assess the feasibility of the measures included in this protocol on multiple farms in order, to develop a credible animal welfare assessment protocol for pasture-based cow–calf farms systems in New Zealand. The assessment protocol was trialled on 25 farms over two visits and took a total of 2.5 h over both visits for a 100-cow herd. The first visit in autumn included an animal welfare assessment of 3366 cows during pregnancy scanning, while the second visit in winter included a questionnaire-guided interview to assess cattle management and health, and a farm resource evaluation. Through a process of eliminating unsuitable measures, adjustments of modifiable measures and retaining feasible measures, a protocol with 32 measures was created. The application of the protocol on the farms showed that not all measures are feasible for on-farm assessment, and categorisation of identified animal welfare measures into scores that indicate a threshold of acceptable and non-acceptable welfare standards is necessary.


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