Building recovery and resilience in severe mental illness: Leveraging the role of social determinants in illness trajectories and interventions

建立严重精神疾病的康复和复原力：利用社会决定因素在疾病轨迹和干预措施中的作用

• 批准号: MR/Z503514/1
• 负责人: Jennifer Lau
• 金额: $ 477.76万
• 依托单位: Queen Mary University of London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FZ503514%2F1
• 关键词: Building; recovery; resilience; severe; mental

Severe Mental Illnesses (SMIs) arise from a complex interplay of biological, psychological, and social factors. Yet most frontline treatments for SMIs target biological and psychological factors. This hub will focus on "social determinants": the conditions in which people are born, grow, work, live, and age, and the wider set of forces and systems that shape the conditions of daily life. We will draw on multi-disciplinary and cross-sectoral expertise and experience, interweaving these insights with lived experiences to a) generate new knowledge on the role of social determinants in influencing the course and outcomes of SMIs and b) explore how we can leverage "protective" social factors to build resilience and recovery in people with SMIs. Three workstreams are planned.Workstream 1 will use machine learning predictive models to analyse longitudinal, secondary datasets containing data on individuals with various SMIs. We will explore how locality-based predictors of structural social determinants cluster and interact to predict the course and outcomes of various SMIs.Workstream 2 will collect new information from a cohort of patients with SMIs to measure how the quantity and quality of interpersonal exchanges, relationships and support networks across social spheres contributes to the recovery journeys of people with SMIs. We will explore the biological and cognitive mechanisms by which social factors exert their effects. Workstream 3 will explore the potential of social prescribing and community organising in supporting patients with SMIs. Creative workshops and sandpits with lived experience participants, community organisations, and other stakeholders will allow participants to share their experiences to shape the development of these protocols/programmes. Addressing key social determinants of SMIs tackles health inequalities invites an opportunity for policy change to collectively support people with SMIs.

严重的精神疾病（SMI）是由生物，心理和社会因素的复杂相互作用引起的。然而，大多数针对SMI的前线治疗目标是生物学和心理因素。该枢纽将重点放在“社会决定因素”上：人们出生，成长，工作，生活和年龄的条件，以及塑造日常生活状况的更广泛的力量和系统。我们将借鉴多学科和跨部门的专业知识和经验，将这些见解与生活经验交织在一起a）关于社会决定因素在影响SMIS和b的结果中的作用的新知识，并探索我们如何利用“保护”社会因素来建立SMIS患者的弹性和恢复。计划了三个工作流。Workstream1将使用机器学习预测模型来分析包含各种SMI的个体数据的纵向辅助数据集。我们将探讨如何基于本地性的结构社会决定因素的预测因素集群并进行互动以预测各种SMIS的过程和结果。Workstream2将从SMIS的一系列患者中收集新信息，以衡量社交领域的人际关系，关系和支持网络的数量和质量如何为SMIS与SMIS的人的恢复期恢复。我们将探索社会因素发挥作用的生物学和认知机制。 Workstream 3将探讨社会处方和社区组织在支持SMIS患者方面的潜力。创意的讲习班和带有经验的经验参与者，社区组织和其他利益相关者的砂锅将允许参与者分享他们的经验，以塑造这些协议/计划的开发。解决SMI的关键社会决定因素应对健康不平等，这为政策变更带来了共同支持SMI的人的机会。