UNASSIGNED: Semi-structured interviews were conducted with n = 18 participants with a lived experience of bipolar and n = 5 healthcare professionals. The interviews comprised open-ended questions and a Likert-item questionnaire. The responses to the interview questions were analysed using content analysis and corpus linguistic methods to develop a classification system of risk-taking behaviours. The Likert-item questionnaire was analysed statistically and insights from the questionnaire were incorporated into the classification system.
UNASSIGNED: Our classification system includes 39 reported risk-taking behaviours which we manually inferred into six domains of risk-taking. Corpus linguistic and qualitative analysis of the interview data demonstrate that people need more support for risk-taking behaviours and that aside from suicide, self-harm and excessive spending, many behaviours are not routinely monitored.
UNASSIGNED: This study shows that people living with bipolar report the need for improved access to psychologically informed care, and that a standardised classification system or risk-taking questionnaire could act as a useful elicitation tool for guiding conversations around risk-taking to ensure that opportunities for intervention are not missed. We have also presented a novel methodological framework which demonstrates the utility of computational linguistic methods for the analysis of health research data.
■对n=18名具有两极生活经验的参与者和n=5名医疗保健专业人员进行了半结构化访谈。访谈包括开放式问题和Likert项目调查表。使用内容分析和语料库语言方法分析了对访谈问题的回答,以开发冒险行为的分类系统。对Likert项目问卷进行了统计分析,并将问卷的见解纳入分类系统。
■我们的分类系统包括39个报告的冒险行为,我们手动将其推断为六个冒险领域。语料库语言和访谈数据的定性分析表明,人们需要更多的支持冒险行为,除了自杀,自我伤害和过度消费,许多行为没有被常规监测。
这项研究表明,患有双相情感障碍的人报告说,需要改善获得心理知情护理的机会,并且标准化的分类系统或风险承担问卷可以作为有用的启发工具,指导围绕风险承担的对话,以确保不会错过干预机会。我们还提出了一种新颖的方法论框架,该框架演示了计算语言方法在分析健康研究数据中的实用性。