A multi-methods, multi-actor exploration of the benefits and barriers to milk recording on Irish farms using the COM-B model.

Milk recording is a critical tool in dairy farming, providing individual cow information. When used effectively, this data contributes to on-farm productivity, herd health management decisions and supports prudent veterinary prescribing of antimicrobials. Although an industry and government priority, uptake has been relatively slow in Ireland. This multi-methods, three-part study aimed to gain a comprehensive understanding of the benefits to farm performance, and factors driving uptake of milk recording on Irish dairy farms. It involved an economic analysis of N=516 farms from 2008-2019, a workshop with N=26 stakeholders and an online survey of N=197 non-milk-recording farmers. Quantitative and qualitative data were analysed using econometric models and thematic analysis respectively. Results were synthesised using the COM-B model to gain a deeper understanding of what drives the target behaviour. The study revealed that agricultural education, farm location, farm specialisation in dairy and membership of a farmer discussion group were the main factors influencing uptake of milk recording. Milk recording was associated with a €39.04/cow increase in gross margin, a 177.58 litres/cow increase in milk yield and a reduction of 13,450 cells/ml in bulk milk tank somatic cell count readings. Infrastructural constraints, cost, lack of benefits and workload were the most reported perceived barriers to milk recording by farmers. The Behaviour Change Wheel illustrates how to utilise findings and systematically develop future interventions to increase milk recording uptake. This study highlights the importance of a multi-methods approach to agricultural technology adoption and the need for evidence-based methodology when developing behaviour change interventions.

Data Driven Identification of Injury Risk Factors During Expansion on Irish Dairy Farms.

OBJECTIVES: This paper sought to determine risk factors of occupational injury in the Irish dairy farming sector and to estimate the roles of both dairying expansion and the discipline of agricultural extension in influencing reducing injury occurrence. METHODS: Data for this study was obtained via the Irish National Farm Survey (NFS). In total, 260 farm (83.6% of NFS dairy farm sample) workplace injury survey questionnaires were completed by NFS recorders by interviewing principal farm operators for year 2017. Injury survey data was analysed for 48 variables in conjunction with NFS core farm socio-economic, physical and financial data. Additionally, core data from 2010 for 78.5% of farms surveyed in 2017 was included in the study. Data were analysed using a three-step statistical testing process which met all Binary Logistic Regression assumptions. RESULTS: The study found that dairy farms had a higher farm workplace occupational injury level compared to a previous study. The study data indicates occurrence of elevated injury levels on farms which expanded and which were intensively managed from a milk production perspective. Farm expansion was associated with increased labor units used and increased investment per hectare. The study also found that use of extension services and farm discussion group participation were not associated with injury occurrence. CONCLUSIONS: This study demonstrates how a retrospective farm workplace occupational injury survey of Irish dairy farms, analysed in combination with farm business data can be used to identify injury risk factors, including those associated with production expansion. Irish dairy farms have a heightened farm workplace occupation injury level while dairy production expansion increased injury levels. Extension engagement did not influence on injury levels. Approaches to improve farm safety on dairy farms are outlined.

Sleep: the neglected life factor in adults with intellectual disabilities.

Sleep is vital for our physical and mental health. Studies have shown that there is a high prevalence of sleep disorders and sleep difficulties amongst adults with intellectual disabilities. Despite this, sleep is often overlooked or its disorders are considered to be difficult to treat in adults with intellectual disabilities. There is a significant amount of research and guidance on management of sleep disorders in the general population. However, the evidence base for sleep disorders in adults with intellectual disabilities is limited. In this review paper, we look at the current evidence base for sleep disorders in adults with an intellectual disability, discuss collaborative working between intellectual disabilities psychiatrists and sleep medicine specialists to manage sleep disorders, and provide recommendations for future directions.

Weather, Workload and Money: Determining and Evaluating Sources of Stress for Farmers in Ireland.

The demands of modern farming can place substantial stress upon the farmer, adversely impacting their wellbeing. This study identifies both the prevalence of stress and assesses the demographic, farm, and social characteristics that impact the incidence of stress. We report the results of a survey of a nationally representative sample of farm enterprises in Ireland undertaken in association with the Teagasc National Farm Survey (NFS) in 2018, which saw 736 questionnaires completed by farm operators. Frequency analysis is used to report the primary sources and prevalence of stress. A probit model is developed identifying and quantifying the factors that impact the incidence of stress. There were 57% of farmers who reported experiencing stress resulting from their farm work. Key sources of stress included "poor weather", (47%), "workload" (32%) and "financial" concerns (28%). The results of the probit model establish that the effect of age on the incidence of stress is significant, positive, and non-linear, indicating as farmers get older they are more likely to experience stress but at a declining rate. Operating a sheep farm system, as opposed to any other type of farm system, reduces the probability of stress. Working off-farm also reduces the probability of stress by 0.097, other things being equal. The findings highlight variance in the levels of stress reported by farmers by age and farm system, and consequently, the need to develop targeted supports that take consideration of differences within the population of farmers and farm enterprises.

Exploring the relationship between mastitis risk perceptions and farmers' readiness to engage in milk recording.

The need to move towards Selective Dry Cow Therapy (SDCT) has become increasingly pertinent as a means to reduce the use of antibiotics in the dairy sector. With the EU 2022 ban on prophylactic antibiotics at drying off, practices on some farms will need to drastically change. In Ireland, one particular challenge to the sector-wide transition to SDCT is the lack of widespread uptake of milk recording across dairy farms, a decision support tool which can support mastitis control and help identify cows to select for SDCT. The current study examined readiness to engage in milk recording amongst Irish dairy farmers, and specifically investigated the role of mastitis risk perceptions in shaping farmers' readiness. The study explores the multifaceted nature of risk perception as a construct shaping farmers' attitudes. An online survey was carried out with 197 Irish dairy farmers exploring their attitudes towards mastitis and milk recording. A cluster analysis classified farmers according to their mastitis risk perceptions, with 3 segments identified with differing risk perception profiles. Elevated mastitis risk perceptions were linked to an increased readiness to milk record. However, this relationship was not universal across all farmers. One segment of farmers in the current study maintain low mastitis risk perceptions and remain unmotivated to engage in milk recording. The study concludes that targeted risk communication strategies related to mastitis and milk recording are needed to encourage the move towards SDCT and reduced AMR. Results suggest that the types of risk communication strategies - message framing and two-way risk communication - should reflect farmers' types of mastitis risk perceptions to have the most effective impact on milk recording uptake.

Can technology help achieve sustainable intensification? Evidence from milk recording on Irish dairy farms.

This article explores the potential of a farm technology to simultaneously improve farm efficiency and provide wider environmental and social benefits. Identifying these 'win-win-win' strategies and encouraging their widespread adoption is critical to achieve sustainable intensification. Using a nationally representative sample of 296 Irish dairy farms from 2015, propensity score matching is applied to measure the impact of milk recording on a broad set of farm sustainability indicators. The findings reveal that the technology enhances economic sustainability by increasing dairy gross margin and milk yield per cow. Furthermore, social sustainability is improved through a reduction in milk bulk tank somatic cell count (an indicator of animal health and welfare status). Conversely, milk recording (as it is currently implemented) does not impact farm environmental sustainability, represented by greenhouse gas emission efficiency. While the study shows that milk recording is a 'win-win' strategy, ways of improving current levels of utilisation are discussed so that milk recording achieves its 'win-win-win' potential in the future.

Potential development of Irish agricultural sustainability indicators for current and future policy evaluation needs.

There is a significant and detailed range of sustainability indicators for Irish agri-food production, but there remain areas where further indicator development or new indicators could prove valuable. This review provides an outline of potential developments in Irish assessment of agricultural sustainability following the latest research and in order to meet policy demands. Recent research findings have suggested means of improved quantitative modelling of greenhouse gas emissions, but additional dietary and soil data may be important for this, especially for the potential inclusion of any soil sequestration. This information could also benefit more detailed modelling of nutrient losses to water. Specific concerns over pesticide and antibiotic use may require additional survey work on the particular locations or types of farms of interest. Biodiversity monitoring could be improved by expanding the range of results-oriented agri-environment schemes or employing remote-sensing habitat monitoring, likely supplemented with targeted field surveys for specific objectives. Farm-level economic sustainability is largely well-covered, but additional data collection may be of benefit to address specific issues such as labour costs. Recent additional surveys on farm-level social sustainability have addressed important social indicators of isolation and access to local services, and could be rolled out on a larger number of farms in the future. Wider societal concerns such as animal welfare, genetically modified materials in foodstuffs and antibiotic resistance have limited indicators currently available, and could also benefit from additional surveys. The breadth and detail required in agri-food sustainability indicators present a significant challenge to survey design and implementation, but many developments can be achieved without additional surveys through the use of remote sensing and geospatial technologies and integration of existing datasets. Despite the important benefits of further developments in Irish sustainability indicators, consideration must also be given to farmer confidentiality and survey fatigue.

Complexity and conundrums. Citizens' evaluations of potentially contentious novel food technologies using a deliberative discourse approach.

This research considers the processes involved in the formation of attitudes by citizens on potentially contentious novel food technologies (NFTs). Observations of one-to-one deliberative discourses between food scientists and citizens, during which they discussed these technologies, form the basis of this enquiry. This approach enables an exploration of how individuals construct meaning around as well as interpret information about the technologies. Thematic analysis identifies key features that provide the frameworks for citizens' evaluations. How individuals make sense of these technologies is shaped by their beliefs, values and personal characteristics; their perceptions of power and control over the development and sale of NFT related products; and, the extent to which these products are relevant to their personal lives. Internal negotiations between these influences are evident, and evaluations are based on the relative importance of each influence to the individual. Internal conflicts and tensions are associated with citizens' evolving evaluative processes, which may in turn present as attitude ambivalence and instability. Many challenges are linked with engaging with the general public about these technologies, as levels of knowledge, understanding and interest vary.