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The Care Life Cycle: Responding to the Health and Social Care Needs of an Ageing Society

护理生命周期：应对老龄化社会的健康和社会护理需求

基本信息

批准号：
EP/H021698/1
负责人：
Jane Falkingham
金额：
$ 357.83万
依托单位：
University of Southampton
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2010
资助国家：
英国
起止时间：
2010 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FH021698%2F1
关键词：
Care Life Cycle Responding Health

项目摘要

The UK's population is ageing, and this presents a major problem for government since older people are the major users of health and social care services. As well as increasing the demand for care, population ageing is affecting the supply of care professionals, as the health workforce itself ages. However, ageing is only one factor in a complex set of issues influencing both the supply of and demand for health and social care. These include changes in the profile of disability and disease, the development of new technologies, and changes in levels of income and wealth. The workforce is influenced by many demographic, political and economic factors. The challenges in forecasting the future health workforce have been frequently highlighted, but no research to date has dealt comprehensively with both the demand and supply side of health and social care. To achieve this will require more than simply adding together models of the different sub-systems - what is important is the way that these sub-systems interact and feedback on each other. In order to make progress on understanding the whole system, a complexity science approach must be taken. Complexity science is an emerging discipline that attempts to model, understand and manage systems that combine scale and connectivity of the kind exhibited by the UK's health and social care systems. It has very broad application to biological, environmental, and physical systems, but here we are interested in applying it within a social science domain that poses unique challenges.In this research programme, we shall bring together teams of researchers from both social science and complexity science in order to work side by side to develop models of the socio-economic processes and organisations implicated in the UK's health care and social care systems. This research addresses the key challenges of developing effective novel modelling tools and techniques, and encouraging more sophisticated ways of carrying this science forward to inform policy on this vital real-world problem. In general then, the pay-off for complexity science offered by this research is to be found partly in the new tools and methodological advances that will be generated in the course of building, analysing and understanding the proposed models, and the pay-off for social science is to be found partly in the new understanding of health and social care that the models generate. But there will also be significant pay-off for both fields in the discoveries made at the interface between modellers and policy makers. In particular, there is a real opportunity to make progress on how complexity scientists can direct, present, and describe their work to maximum effect, something that the field has not always been able to do.Our ambitious programme of work aims to meet the research challenges described above, integrating rigorous empirical studies, sophisticated modelling and reflective engagement with relevant policy makers and planners, under a single framework informed both by modern complexity science and a long-standing track record in the social sciences. We will deliver a step change in the degree to which our understanding of the health care cycle can inform policy change in the form of models, papers, datasets, theory, public engagement and knowledge exchange, PhD and post-doctoral training, conferences and workshops. Simultaneously, we will make progress in developing the fundamental tools, concepts and methodologies of complexity science, particularly in the context of policy making for real-world multi-scale social systems.

英国的人口正在老龄化，这给政府带来了一个重大问题，因为老年人是医疗和社会护理服务的主要用户。除了增加对护理的需求外，人口老龄化还影响到护理专业人员的供应，因为卫生工作人员本身也在老龄化。然而，老龄化只是影响保健和社会护理供求的一系列复杂问题中的一个因素。这些变化包括残疾和疾病状况的变化、新技术的发展以及收入和财富水平的变化。劳动力受到许多人口、政治和经济因素的影响。在预测未来卫生人力方面的挑战经常被强调，但到目前为止还没有一项研究全面地处理卫生和社会保健的需求和供应方。要做到这一点，需要的不仅仅是简单地将不同子系统的模型加在一起--重要的是这些子系统相互作用和反馈的方式。为了在理解整个系统方面取得进展，必须采用复杂性科学的方法。复杂性科学是一门新兴学科，它试图对系统进行建模、理解和管理，这些系统结合了英国医疗和社会保健系统所展示的那种规模和连通性。它在生物、环境和物理系统中有非常广泛的应用，但在这里，我们感兴趣的是将其应用于构成独特挑战的社会科学领域。在这个研究计划中，我们将汇集来自社会科学和复杂性科学的研究人员团队，以便并肩工作，开发涉及英国医疗保健和社会保健系统的社会经济过程和组织的模型。这项研究解决了开发有效的新颖建模工具和技术的关键挑战，并鼓励以更复杂的方式推进这一科学，为这一关键的现实世界问题提供政策信息。因此，总的来说，这项研究为复杂性科学提供的回报部分在于在构建、分析和理解拟议的模型的过程中产生的新工具和方法进步，而社会科学的回报部分在于模型产生的对卫生和社会保健的新理解。但这两个领域在模型师和政策制定者之间的界面上的发现也将带来可观的回报。特别是，在复杂性科学家如何以最大限度地指导、展示和描述他们的工作方面取得进展是一个真正的机会，这一领域并不总是能够做到这一点。我们雄心勃勃的工作计划旨在应对上述研究挑战，将严格的实证研究、复杂的模型以及与相关政策制定者和规划者的反思性接触整合在一个单一框架下，既有现代复杂性科学的信息，也有社会科学的长期记录。我们将通过模型、论文、数据集、理论、公众参与和知识交流、博士和博士后培训、会议和研讨会的形式，在多大程度上改变我们对卫生保健周期的理解，从而为政策变化提供信息。同时，我们将在发展复杂性科学的基本工具、概念和方法方面取得进展，特别是在为现实世界多尺度社会系统制定政策的背景下。