Developing Methodology for Dynamic Predictors of Mental Health Needs and Patients' Outcomes

开发心理健康需求和患者结果动态预测的方法

• 批准号: 2722471
• 金额: --
• 依托单位: Lancaster University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2722471
• 关键词: Developing; Methodology; Dynamic; Predictors; Mental

While the importance of understanding causal mechanisms has been understood for a long time, statistical and data-driven methods to explore these relationships are still in active development. To date, theoretical models in areas such as Psychopathology and Mental Health are often more descriptive. One of the reasons why a detailed assessment of causality has previously been hampered is the lack of time-rich data sources allowing investigation into the order of causes and effects dynamically. However, recently a steep rise in large longitudinal studies and availability of routinely collected health data provide new potential. But data is only part of the solution. This project, in collaboration with Lancashire and South Cumbria National Health Service (NHS) Foundation Trust (LSCFT) will evaluate and develop the methodological tools and frameworks within specific subfields of psychopathology and population mental health to enable researchers and practitioners to harness new datasets and take advantage of temporal aspects to study causality and reciprocity, and provide answers to questions such as 'What comes first?' also known as 'Chicken and Egg' problems within the area of mental health.

虽然理解因果机制的重要性已经被理解了很长一段时间，但探索这些关系的统计和数据驱动的方法仍在积极发展中。到目前为止，在精神病理学和心理健康等领域的理论模型往往更具描述性。因果关系的详细评估以前受到阻碍的原因之一是缺乏时间丰富的数据来源，无法动态地调查因果关系的顺序。然而，最近大规模纵向研究的急剧增加和常规收集的健康数据的可用性提供了新的潜力。但数据只是解决方案的一部分。该项目与兰开夏郡和南坎布里亚郡国家卫生服务（NHS）基金会信托基金（LSCFT）合作，将评估和开发精神病理学和人口心理健康特定子领域内的方法工具和框架，使研究人员和从业人员能够利用新的数据集，并利用时间方面来研究因果关系和互惠关系，并提供诸如“什么是第一位的？”在心理健康领域也被称为“鸡和蛋”问题。