Recession and Mental Health in Scotland: Do Personal or Community Factors promote Resilience to Labour Market Change?

苏格兰的经济衰退与心理健康：个人或社区因素是否会促进劳动力市场变化的恢复力？

• 批准号: ES/P008585/1
• 负责人: Jamie Pearce
• 金额: $ 16.43万
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FP008585%2F1
• 关键词: Recession; Mental; Health; Scotland; Do

This project will examine how, over time, between 2001 and 2014, mental health outcomes and mental health care use in Scotland have related to changes in local labour markets, particularly changing levels of employment during the recent recession. The study will examine mental health outcomes for individuals (including self-reported mental illness and death due to mental illness) and use of NHS care for mental illnesses (including hospital care, outpatient services and prescribed medicines). The study population include about 150,000 people in the Scottish Longitudinal Study and we are able to examine information collected over time for this large group, which makes the study particularly powerful. This project will analyse a new and innovative dataset made up of secondary data from several different sources which have not been combined in this way before. We have permission from the data guardians to use these data in a secure data centre, so that no identifiable information about any individual will be released. Our focus will be especially on patterns of change that we can observe for large groups of people living in different parts of Scotland. The public benefits of this research project will be primarily in providing evidence to inform policy makers and organizations contributing to policies for those affected by mental health issues. When our findings are approved for public release, we anticipate that public interest will focus on the following aspects of our findings:- Relationships between local trends in employment levels during the recession, and mental health and health care outcomes for different social groups in the population. This is of relevance for policy makers in NHS Scotland, and for other agencies, such as Support in Mind, Scotland, and Centre for Welfare Reform, which are concerned to address, and advocate for the needs of those at risk of mental health problems in different parts of the country. - A more complete picture of mental health outcomes for populations in different types of localities, and how these change over time. These findings have potential to contribute to the design of population mental health indicators for localities, relevant for performance monitoring and needs assessment by NHS Scotland.This research project also provides an excellent opportunity to further develop a growing collaboration between two leading research centres concerned with inequalities in health and wellbeing and how we can address these inequalities through policy and action in social and economic sectors as well as through the medical system. It also focuses specifically on one of the research priorities for ESRC relating to mental health in the population. As well as senior academics (Pearce, Dibben and Bambra) our multi-disciplinary team includes two 'Early Career' Academic colleagues (Cunningham, as a Co-I with expertise in application of Geographical Information Systems to explore change in social inequalities and divisions over time and Cherrie as a PDRA with postgraduate and postdoctoral experience in Environmental Epidemiology and Geography and in complex data management and analysis). The project will be supported by an advisory group, including Prof Sarah Curtis, Professor Emeritus, Durham University (internationally recognized for her research in health geography and has been directly involved in helping to develop this project and to prepare the linked dataset on which it will draw), Dr Mylene Riva (Associate Professor, McGill University, Canada, expert in health geography and geospatial analysis and has published research in collaboration with Prof Curtis on employment conditions and health in England), Dr Lynne Friedli (independent mental health specialist and advocate) and Dr Simon John Duffy (Director Centre for Welfare Reform), Dr Andrew Millard and Dr Stuart McTaggart, NHS Health Scotland, Frances Simpson, Chief Executive of Support in Mind Scotland.

该项目将研究如何，随着时间的推移，在2001年至2014年期间，心理健康的结果和精神卫生保健的使用在苏格兰与当地劳动力市场的变化，特别是在最近的经济衰退期间不断变化的就业水平。该研究将检查个人的心理健康结果（包括自我报告的精神疾病和因精神疾病而死亡）以及使用NHS治疗精神疾病（包括医院护理，门诊服务和处方药）。研究人群包括苏格兰纵向研究中的大约15万人，我们能够检查随着时间的推移为这个大群体收集的信息，这使得这项研究特别强大。该项目将分析一个新的和创新的数据集，该数据集由来自几个不同来源的二手数据组成，这些数据以前从未以这种方式合并。我们已获得数据监护人的许可，可以在安全的数据中心使用这些数据，因此不会发布任何个人的身份信息。我们的重点将特别放在我们可以观察到的生活在苏格兰不同地区的大量人群的变化模式上。该研究项目的公共利益将主要是提供证据，为决策者和组织提供信息，为受心理健康问题影响的人制定政策。当我们的调查结果被批准公开发布时，我们预计公众的兴趣将集中在我们调查结果的以下方面：-经济衰退期间当地就业水平趋势与人口中不同社会群体的心理健康和医疗保健结果之间的关系。这对苏格兰国民保健服务的决策者以及其他机构，如苏格兰心理支持和福利改革中心具有重要意义，这些机构关心解决和倡导全国不同地区面临心理健康问题风险的人的需求。- 更完整地了解不同类型地区人群的心理健康结果，以及这些结果如何随时间变化。这些发现有可能有助于为地方设计人口心理健康指标，该研究项目还提供了一个极好的机会，进一步发展两个主要研究中心之间日益增长的合作，这些研究中心关注健康和福祉方面的不平等，以及我们如何通过社会和经济部门的政策和行动来解决这些不平等问题。以及通过医疗系统。它还特别侧重于ESRC与人口心理健康有关的研究优先事项之一。以及资深学者（皮尔斯，Dibben和Bambra）我们的多学科团队包括两个“早期职业生涯”学术同事（坎宁安，作为一个Co-I与地理信息系统的应用专业知识，探索随着时间的推移社会不平等和分工的变化和Cherrie作为PDRA与研究生和博士后环境流行病学和地理学的经验，并在复杂的数据管理和分析）。该项目将得到一个咨询小组的支持，其中包括达勒姆大学名誉教授萨拉柯蒂斯教授Mylene Riva博士（因其在健康地理学方面的研究而获得国际认可，并直接参与帮助开发该项目并准备该项目将利用的相关数据集）（加拿大麦吉尔大学副教授，他是健康地理学和地理空间分析方面的专家，并与Curtis教授合作发表了关于就业条件和健康的研究，英格兰），林恩·弗里德利博士（独立心理健康专家和倡导者）和西蒙·约翰·达菲博士（福利改革中心主任），安德鲁·米勒德博士和斯图尔特·麦克塔加特博士，苏格兰国民保健服务卫生部，弗朗西斯·辛普森，苏格兰心灵支持首席执行官。

项目成果

Changing levels of local crime and mental health: a natural experiment using self-reported and service use data in Scotland.

• DOI: 10.1136/jech-2020-213837
• 发表时间: 2020-10
• 期刊: Journal of epidemiology and community health
• 影响因子: 6.3
• 作者: Baranyi G;Cherrie M;Curtis SE;Dibben C;Pearce J
• 通讯作者: Pearce J

Use of sequence analysis for classifying individual antidepressant trajectories to monitor population mental health.

• DOI: 10.1186/s12888-020-02952-y
• 发表时间: 2020-11-23
• 期刊: BMC psychiatry
• 影响因子: 4.4
• 作者: Cherrie M;Curtis S;Baranyi G;McTaggart S;Cunningham N;Licence K;Dibben C;Bambra C;Pearce J
• 通讯作者: Pearce J

Use of sequence analysis for classifying individual antidepressant trajectories to monitor population mental health

使用序列分析对个体抗抑郁药轨迹进行分类，以监测人群心理健康状况

• DOI: 10.21203/rs.3.rs-15826/v2
• 发表时间: 2020
• 作者: Cherrie M

A data linkage study of the effects of the Great Recession and austerity on antidepressant prescription usage

• DOI: 10.1093/eurpub/ckaa253
• 发表时间: 2021-02-07
• 期刊: EUROPEAN JOURNAL OF PUBLIC HEALTH
• 影响因子: 4.4
• 作者: Cherrie, Mark;Curtis, Sarah;Pearce, Jamie
• 通讯作者: Pearce, Jamie