Northern Faculty, Department of Veterinary and Animal Science, Centre for Epidemiology and Planetary Health, Scotland's Rural College (SRUC), Inverness, United Kingdom.
UHI Inverness, University of the Highlands and Islands, 1 Inverness Campus, Inverness, United Kingdom.
PLoS One. 2024 May 22;19(5):e0304090. doi: 10.1371/journal.pone.0304090. eCollection 2024.
The aim of the How Farm Vets Cope project was to co-design, with farm veterinary surgeons, a set of web-based resources to help them and others deal with the different situations that they can face. As part of the wider project, participants were recruited for one-to-one semi-structured phone interviews. These interviews focused on elements of job satisfaction and how the participants coped during periods of poor mental wellbeing or with setbacks and failure.
Transcripts of these interviews were analysed using both quantitative methods of sentiment analysis and text mining, including term frequency/inverse document frequency and rapid automated keyword extraction, and qualitative content analysis. The twin aims of the analysis were identifying the important themes discussed by the participants and comparing the results of the two methods to see what differences, if any, arose.
Analysis using the afinn and nrc sentiment lexicons identified emotional themes of anticipation and trust. Rapid automated keyword extraction highlighted issues around age of vets and support, whilst using term frequency/inverse document frequency allowed for individual themes, such as religion, not present across all responses, to be identified. Content analysis supported these findings, pinpointing examples of trust around relationships with farmers and more experienced vets, along with some examples of the difference good support networks can make, particularly to younger vets.
This work has confirmed previous results in identifying the themes of trust, communication and support to be integral to the experience of practicing farm veterinary surgeons. Younger or less experienced vets recognised themselves as benefiting from further support and signposting, leading to a discussion around the preparation of veterinary students for entry into a farm animal vet practice. The two different approaches taken showed very good agreement in their results. The quantitative approaches can be scaled to allow a larger number of interviews to be utilised in studies whilst still allowing the important qualitative results to be identified.
How Farm Vets Cope 项目的目的是与兽医合作设计一套基于网络的资源，帮助他们和其他人应对可能面临的不同情况。作为更广泛项目的一部分，招募了参与者进行一对一的半结构化电话访谈。这些访谈侧重于工作满意度的要素，以及参与者在心理健康不佳或遇到挫折和失败时的应对方式。
使用情感分析和文本挖掘的定量方法，包括词频/逆文档频率和快速自动关键词提取，以及定性内容分析，对这些访谈的记录进行了分析。分析的双重目的是确定参与者讨论的重要主题，并比较两种方法的结果，以了解是否存在差异。
使用 afinn 和 nrc 情感词典进行分析，确定了参与者的预期和信任的情感主题。快速自动关键词提取突出了兽医年龄和支持问题，而使用词频/逆文档频率可以识别个别主题，例如不是所有回复都存在的宗教。内容分析支持了这些发现，指出了与农民和经验丰富的兽医的关系中信任的例子，以及良好的支持网络可以产生的一些差异，特别是对年轻的兽医。
这项工作证实了之前的研究结果，即信任、沟通和支持是从事农场兽医工作不可或缺的主题。年轻或经验较少的兽医认识到自己需要更多的支持和指导，从而引发了关于兽医学生如何为进入农场动物兽医实践做好准备的讨论。两种不同的方法在结果上非常一致。定量方法可以扩展，以允许更多的访谈在研究中使用，同时仍然能够确定重要的定性结果。
