Recording antimicrobial use on Irish dairy farms: Barriers and facilitators to using technology and sharing data.

Antimicrobial use (AMU) data are essential to monitor the effect of AMU reduction strategies in animal health. The use of technology and herd recording software to record AMU will be vital to scale the collation of these data in the future. The aim of this study was to determine the barriers and facilitators to Irish dairy farmers recording their AMU using a herd recording software and sharing AMU data. Thirty-three Irish dairy farmers involved in a study on AMU monitoring were asked to record their AMU using a herd recording software over a 12-mo period. At the end of the 12-mo period, 10 of these farmers were selected to take part in semi-structured interviews exploring their opinions on recording AMU, the use of herd recording software, and sharing AMU data. Interviews were transcribed and qualitatively analyzed using inductive thematic analysis. Several barriers and facilitators to farmers recording their AMU using a herd recording software and sharing AMU data were identified. Barriers included the age and generation of the farmer, farm infrastructure, a lack of training and education, a lack of knowledge around the benefits of digital data, a lack of incentive to digitize records, and a fear of repercussions. Facilitators identified by the farmers included the benefits of having instantly available data for making herd management decisions, reduced paperwork, increased organization for inspections, and a potential positive effect on the image of the dairy industry. To increase the uptake of new technology to record AMU at farm-level, farmers will need support in terms of education and training around the software available to them and reassurance around the perceived risks of repercussions with sharing data in a digital format.

Factors influencing dairy farmers' antibiotic use: An application of the COM-B model.

In dairy farming, mastitis treatment is the most common reason for antimicrobial use. The overuse or misuse of antibiotics in agriculture has been associated with the development and spread of antimicrobial resistance (AMR). Traditionally, blanket dry cow therapy (BDCT), in which all cows receive antibiotic treatment, was used prophylactically to prevent and manage disease spread. In recent years, there has been a move toward selective dry cow therapy (SDCT), in which only clinically infected cows are treated with antibiotics. This study aimed to explore farmer attitudes toward antibiotic use (ABU), using the COM-B (Capability-Opportunity-Motivation-Behavior) model as a framework, to identify predictors of changing behavior toward SDCT and suggest interventions to encourage its uptake. Participant farmers (n = 240) were surveyed online between March and July 2021. Five items were found to be significant predictors of farmers having stopped BDCT: (1) having lower knowledge of AMR, (2) greater awareness of AMR and ABU (Capability), (3) feeling social pressure to reduce ABU (Opportunity), and (4) having greater professional identity, and (5) having positive emotions associated with stopping BDCT (Motivation). Direct logistic regression found that these 5 factors explained between 22 and 34.1% of the variance in making changes to BDCT practices. Additionally, objective knowledge was not correlated with current positive antibiotic practices, and farmers often perceived their antibiotic practices as more responsible than they actually were. A multifaceted approach, encompassing each of the predictors highlighted, should be taken to encourage farmer behavior change in relation to stopping BDCT. Additionally, as farmers' perceptions of their own behaviors may not align with their actual practices, awareness raising of what constitutes "responsible" behavior should be targeted at dairy farmers to motivate them to take action and adopt more responsible antibiotic practices.

Exploring veterinarians' behaviour relating to antibiotic use stewardship on Irish dairy farms using the COM-B model of behaviour change.

Employing a theoretical model of human behaviour (COMB), the current study explores the factors influencing veterinarians' engagement with antibiotic use stewardship on Irish dairy farms. One-to-one semi structured interviews were carried out by telephone with 12 veterinarians whose daily work focused on dairy cattle. A thematic analysis approach was undertaken. The identified themes and sub-themes were then mapped to the COM-B model. This study identified challenges faced by veterinarians when trying to prescribe responsibly which included lack of training to encourage farmer behaviour change, issues with laboratory testing, pressures from farmers to prescribe antimicrobials, concern for animal welfare and farmers going elsewhere for prescriptions. Having a good knowledge of AMR, peers as an advice source, potential financial benefits for farmers as a result of reduced antimicrobial costs and accepting a shared responsibility for AMR, facilitate veterinarians in their role as antimicrobial stewards. The barriers and facilitators identified as influencing veterinarians' capability, opportunity and motivation to responsibly prescribe antimicrobials formed the basis for a number of practical recommendations which should be considered by advisory and policy making teams. Recommendations include; continuous training for veterinarians on AMR and alternatives to overcome the barriers faced when trying to promote reduced AMU, veterinarian peer support groups to improve confidence in their knowledge and decision making to minimise the effect of client pressures/expectations, setting up collaborative farmer and veterinarian working groups to promote a transparent working relationship and the development of affordable and efficient diagnostic and susceptibility testing.

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.

What do self-efficacy items measure? Examining the discriminant content validity of self-efficacy items.

OBJECTIVES: Self-efficacy - an individual's judgement of their ability to successfully perform a behaviour - is commonly used to explain and predict behaviour. It is measured through self-report questionnaires. These scales require good content validity, that is must measure the full scope and content of the construct without contamination from similar constructs. This study uses a systematic, transparent quantitative method (discriminant content validation, DCV) to assess the content validity of a variety of self-efficacy items and qualitatively explores participant interpretations of these items. DESIGN: A quantitative DCV and qualitative think-aloud study of self-efficacy item interpretation. METHODS: Participants (n = 21) were presented with items designed to measure self-efficacy and related constructs following standard DCV methodology. Items were rated against construct definitions to determine whether they measured a particular construct (yes/no). Judges' confidence in each assessment was also assessed (%) and used to establish quantitative estimates of content validity for each item. A qualitative think-aloud study explored the judgements made in a subset of participants. RESULTS: 8/8 self-efficacy items were found to measure self-efficacy; however, 2/8 of these also measured motivation. 6/8 items displayed discriminant content validity and thus can be considered 'pure' measures of self-efficacy. The think-aloud study indicated that item wording is a likely cause of item misinterpretation. CONCLUSIONS: Self-efficacy items vary in terms of their content validity with only some of the items assessed providing 'pure' measures of the self-efficacy construct. Item wording should be considered during study design to avoid misinterpretation. Statement of contribution What is already known on this subject? For decades, questions have been raised relating to the content validity of self-efficacy scales, with suggestions of possible construct contamination. Previous studies have shown that manipulation of the wording of self-efficacy scale items results in varied participant interpretations. While self-efficacy items have been found to be distinguishable from other similar constructs, it is equally important to ensure that they are uncontaminated by different constructs within the same theory. Otherwise, when the theory is used to investigate behaviour, variance attributable to self-efficacy may be attributed to a different construct or vice versa. The present study uses discriminant content validation to test this and a think-aloud study to explore participants' interpretation of classic self-efficacy items. What does this study add? The study uses discriminant content validity methodology to assess the content validity of self-efficacy scales. Self-efficacy items which are contaminated with content from other constructs are identified. Information is presented on 'pure' self-efficacy items which can be used to guide item selection in future studies.