scholarly journals Assessment of the Welfare of Experimental Cattle and Pigs Using the Animal Welfare Assessment Grid

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.

Author(s):  
M.B.M. Bracke ◽  
B.M. Spruijt ◽  
J.H.M. Metz

Several authors have concluded that scientists should not attempt to perform overall animal welfare assessment (OWA). They argue that scientists have continued to fail to make progress in this area and that value judgements are inherently involved in OWA for which science cannot provide answers. We take a more positive attitude toward OWA and argue that scientists should avoid creating a self-fulfilling prophecy. OWA is necessary for making actual moral and political decisions. Science has already accumulated much relevant information about welfare and this information should be applied in decision making. The task of OWA is to assess welfare based on knowledge of the biological needs of animals. Weighting of welfare relevant factors constitutes a problem. However, when scientists cannot provide empirical data to solve weighting issues, this does not mean that rational answers cannot be found, e.g. in the form of procedural rules. OWA is conceived as a problem of multi-criteria decision making with fuzzy information. If focuses on the descriptive aspect of welfare, i.e. on what the welfare status of the animals really is without taking an ethical stance. The welfare status of animals depends on their biology and on the way animals assess their own welfare. It does not depend on how it happens to be perceived by us. Even though OWA necessarily remains a human activity, it is not arbitrary, nor does it allow of multiple 'correct' answers. OWA is a descriptive activity that can achieve more and more accuracy as science proceeds.


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 21 (2) ◽  
pp. 136-142 ◽  
Author(s):  
Tessie W. October ◽  
Amy H. Jones ◽  
Hannah Greenlick Michals ◽  
Lauren M. Hebert ◽  
Jiji Jiang ◽  
...  

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.


Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Lourdes Carhuapoma ◽  
Radhika Avadhani ◽  
Noeleen Ostapkovich ◽  
Karen Lane ◽  
Nichol McBee ◽  
...  

Introduction: Recovery in intracerebral hemorrhage (ICH) is prolonged and unpredictable, resulting in challenges in estimating health-related quality of life (HRQoL). We describe HRQoL and patient disposition for ICH survivors with similar clinical characteristics to ICH patients who had withdrawal of life-sustaining treatment (WoLST). Methods: Using MISTIE III trial data (N = 499), we performed a matched cohort analysis using a published modified severity index (mSI) to compare ICH survivors (N = 379) with WoLST patients (N = 61). We used multivariable logistic regression adjusting for age, Glasgow Coma Score, deep ICH location, stability ICH and intraventricular hemorrhage volume and ≥ 3 comorbidities to create the mSI. After matching survivors with equal mSI to WoLST patients, we compared EuroQoL (EQ) visual analog scale (VAS) scores (US norm 69-76; range 0-100) by mSI quartile and patient disposition. Results: We matched 224 survivors to WoLST patients by mSI (range 0-6.5), with data at all timepoints. Given the large mSI range, EQ VAS scores and patient disposition were evaluated by mSI quartile groups. The median (interquartile range [IQR]) EQ VAS score increase for all mSI groups from day 30 (D30) to 180 (D180) was 20 (0-35.5, p < 0.0001), and 23.5 (5-40, p < 0.0001) for D30 to 365 (D365). The highest percentage of survivors for all mSI groups were home by D365 (G1 55%, G2 88%, G3 84.5%, G4 90%). Median (IQR) EQ VAS scores by mSI quartile, patient disposition and timepoint are reported below. Conclusion: ICH survivors, matching WoLST individuals, in all mSI groups demonstrated improvement in HRQoL over time, and the majority were home by D365. This study challenges current practice of identifying poor outcomes in concert with decision making employing WoLST in ICH. If goals of care are to include return to home and HRQoL, these results strongly suggest that prognostication can be improved. Prospective studies of ICH prognostication and decision making are needed.


2021 ◽  
pp. JDNP-D-20-00078
Author(s):  
Sybilla Myers ◽  
Christopher Kennedy

BackgroundPerceived health-related quality of life (HRQOL) is fundamental to well-being and is a meaningful way to measure physical and mental health.Local ProblemNo standard method exists for measuring perceived HRQOL during the COVID-19 pandemic in participants as they attempt to improve their self-determined wellness goals. An implementation plan that considers the social distancing limitations imposed can be used to predict an individual’s likelihood of long-term success.MethodsDuring the four, 2-week plan-do-study-act (PDSA) cycles, the Social Cognitive Theory model informed the implementation of the four core interventions. To guide iterative changes, the data was analyzed through Excel and run charts.InterventionsThe four core interventions were the shared decision-making tool (SDMT), health mobile app tool (HMAT), wellness tracker tool (WTT), and the team engagement plan.ResultsAmong 28 participants, perceived quality of life increased by 70%, engagement in shared decision-making increased to 82%, app use and confidence increased to 85%, and goal attainment reached 81%.ConclusionsThe SDMT, health app, and wellness tracker created a methodical plan of accountability for increasing participant wellness. The contextual barrier of the COVID-19 pandemic added a negative wellness burden which was mitigated by creating a patient-centered culture of wellness.


Sign in / Sign up

Export Citation Format

Share Document