| Literature DB >> 28532990 |
Caroline Millman1, Rob Christley2, Dan Rigby3, Diana Dennis4, Sarah J O'Brien5, Nicola Williams4.
Abstract
Campylobacter contamination of chicken on sale in the UK remains at high levels and has a substantial public health impact. This has prompted the application of many interventions in the supply chain, including enhanced biosecurity measures on-farm. Catching and thinning are acknowledged as threats to the maintenance of good biosecurity, yet the people employed to undertake this critical work (i.e. 'catchers') are a rarely studied group. This study uses a mixed methods approach to investigate catchers' (n=53) understanding of the biosecurity threats posed by the catching and thinning, and the barriers to good biosecurity practice. It interrogated the role of training in both the awareness and practice of good biosecurity. Awareness of lapses in biosecurity was assessed using a Watch-&-Click hazard awareness survey (n=53). Qualitative interviews (n=49 catchers, 5 farm managers) explored the understanding, experience and practice of catching and biosecurity. All of the catchers who took part in the Watch-&-Click study identified at least one of the biosecurity threats with 40% detecting all of the hazards. Those who had undergone training were significantly more likely to identify specific biosecurity threats and have a higher awareness score overall (48% compared to 9%, p=0.03). Crucially, the individual and group interviews revealed the tensions between the high levels of biosecurity awareness evident from the survey and the reality of the routine practice of catching and thinning. Time pressures and a lack of equipment rather than a lack of knowledge appear a more fundamental cause of catcher-related biosecurity lapses. Our results reveal that catchers find themselves in a 'catch-22' situation in which mutually conflicting circumstances prevent simultaneous completion of their job and compliance with biosecurity standards.3 Hence, although education about, and enforcement of, biosecurity protocols has been recommended, our findings suggest that further reforms, including changing the context in which catching occurs by improving the equipment and other resources available to catchers and providing more time for biosecurity, will be essential for successful implementation of existing biosecurity protocols. CrownEntities:
Keywords: Biosecurity; Campylobacter; Catching crew; Hazard awareness; Poultry
Mesh:
Year: 2017 PMID: 28532990 PMCID: PMC5450931 DOI: 10.1016/j.prevetmed.2017.04.002
Source DB: PubMed Journal: Prev Vet Med ISSN: 0167-5877 Impact factor: 2.670
Biosecurity hazards and their identification by catchers (n = 53), including comparison of responses for those with and without (self-reported) biosecurity training. The number in each cell is the percent of respondents that correctly identified each hazard.
| Hazards | Hazard identification (%) | |||||
|---|---|---|---|---|---|---|
| Description | Short | Still from film | Overall n = 53 | With Training n = 42 | No training n = 11 | PR Test |
| The catching crew wear clothes from another farm | clothes | 70 | 76 | 45 | 0.048* | |
| The catching forklift is not sanitised before going onto farm | Forklift | 75 | 83 | 45 | 0.009** | |
| Dirty clothing and boots are put on from the back of the catching van | Dirty | 72 | 71 | 73 | 0.932 | |
| Boots are not dipped on entry to the shed | Dip | 96 | 100 | 82 | 0.005** | |
| The modules/transport crates are dirty | Crates | 87 | 93 | 64 | 0.011* | |
| The forklift is not sanitised before entering another shed | Between | 77 | 83 | 54 | 0.042* | |
| The catching crew sit in their van for their break | Break | 93 | 95 | 82 | 0.134 | |
PR Test = Test of proportions between those with and without (self-reported) biosecurity training* < 0.05; ** < 0.01.
The boot dip was not situated at the entry to the shed as required for biosecurity – the location along a wall is also not permitting proper use. The hazard showed individuals not using this boot dip.
Fig. 1Distribution of total hazard identification scores among 53 catchers, and among those who stated that they had previously received biosecurity training (‘With training’, n = 42) and those reporting never having received training (‘No training’, n = 11). Total score represents the number of hazards identified by each respondent, out of a maximum of 7. The numbers above each bar indicate the number of individuals within that category.
Results of Multiple Correspondence Analysis (MCA) and Hierarchical Clusters Analysis (HCA) of biosecurity hazard identification by catchers (n = 53). The greater the contribution of a hazard to a dimension the greater its influence on this dimension. The significance of each hazard to each dimension is indicated by the v test, with |v test| > 2 indicative of a significant association (highlighted in bold). The percent of catchers correctly identifying each hazard is provided for each of the three main cluster groups suggested by Hierarchical Cluster Analysis.
| Dimensions identified using MCA | Percent correct identification of hazards within the main clusters identified using HCA | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Description | Short name | Identified hazard? | 1 | 2 | 3 | 1 | 2 | 3 | |||
| Cont. | v | Cont. | v | Cont. | v | n = 35 | n = 10 | n = 8 | |||
| The catching crew wear clothes from another farm | Clothes | False | 4.2 | −1.9 | 83 | 50 | 38 | ||||
| True | 1.8 | ||||||||||
| The catching forklift is not sanitised before going onto farm | Forklift | False | 0.8 | 0.8 | 0.0 | −0.1 | 94 | 70 | 0 | ||
| True | 0.3 | 0.0 | |||||||||
| Dirty clothing and boots are put on from the back of the catching van | Dirty | False | 74 | 100 | 25 | ||||||
| True | 3.8 | ||||||||||
| Boots are not dipped on entry to the shed | Dip | False | 100 | 100 | 75 | ||||||
| True | |||||||||||
| The modules/transport crates are dirty | Crates | False | 2.1 | −1.2 | 0.9 | 0.8 | 97 | 80 | 50 | ||
| True | 0.3 | 0.1 | |||||||||
| The forklift is not sanitised before entering another shed | Between | False | 0.6 | 0.7 | 100 | 0 | 75 | ||||
| True | 0.2 | ||||||||||
| The catching crew sit in their van for their break | Break | False | 3.8 | 1.6 | 0.8 | 0.7 | 100 | 100 | 50 | ||
| True | 0.3 | 0.1 | |||||||||
Cont. = Contribution.
Fig. 2Representation of the 7 biosecurity hazards (red) on a plane defined by the two main dimensions identified using Multiple Correspondence Analysis. The axis values are the square of the correlation coefficients between the hazard and the dimension and hence are a measure of the quality of the projection of the hazard on the dimension. Hence, ‘Forklift’ is strongly related to dimension 1 and ‘Between sheds’ with dimension 2. Among the supplementary variables (blue indicates categorical variables and green continuous variables), total biosecurity score (‘total’) is strongly explained by dimensions 1 and training (‘No training’) less so, while ‘company’ is not influenced by either dimension. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)