Understanding the research and policy needs of English coastal communities: a new coastal classification
了解英国沿海社区的研究和政策需求:新的沿海分类
基本信息
- 批准号:ES/X007855/1
- 负责人:
- 金额:$ 103.95万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2023
- 资助国家:英国
- 起止时间:2023 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This project aims to co-design, implement and make publicly available a geodemographic classification of English coastal communities.Growing awareness of the many challenges facing coastal communities parallels the 're-discovery' of inner-city deprivation in the 1970s. Evidence presented in the 2021 Chief Medical Officer's annual report shows that coastal areas have some of the worst health outcomes in England, with low life expectancy and high rates of many major diseases. The 2022 Levelling up White Paper similarly notes that seaside towns have among the highest levels of community need and poor opportunities for the people who grow up there. While policy attention is starting to be directed towards the needs of coastal communities, there are a number of barriers to developing effective (and cost-effective) policy solutions. We have insufficient knowledge about the nature and diversity of coastal communities; some face serious challenges and are 'lagging', while others are doing very well ('leading'). The potentially causal, dynamic (but modifiable) relationships between key economic, social, cultural, political and historical factors are poorly understood. The funding and implementation of targeted policies are made difficult by the fact that few administrative geographies serve predominately coastal populations. As most routine data on public services are published for LAs, CCGs and, more recently, Integrated Care Systems, the specific needs of coastal communities often go unreported. Coastal communities lack an evidence base detailing their needs, a political 'voice' to articulate their needs, and an organisational context through which to develop policy responses. Against this background, this project aims to co-produce an evidence-based and policy-orientated classification of coastal communities linked to suitably granular data. First, stakeholder engagement will be employed to help identify key variables that may differentiate coastal from non-coastal places; advise on technical and methodological issues; and provide recommendations on how to make the classification relevant, useable and updatable. Second, the project will collate, aggregate and attribute a wide range of economic, social, demographic and administrative data at small area level and, using a coastal 'flag', carry out statistical analyses to explore (a) the distinctive attributes of coastal communities and the extent to which the challenges faced are spacifically related to their coastal location and identity, and (b) the ways in which contextual factors affect outcomes relating to health, education, social mobility and other socio-economic domains in different coastal localities.Third, reflecting stakeholder views on e.g., which clustering methodology using which data, whether to construct a single classification or multiple classifications addressing different domains etc., we will develop a classification of coastal communities, supported by an archive of all collated, aggregated and attributed data, along with all code used in the creation of the classification.Fourth, we will hold a series of stakeholder workshops comprising 'how to' guidance and demonstrations for academics and policy stakeholders who are interested in using the classification in practice.The classification will contribute to a more nuanced understanding of the varied characteristics and needs of coastal communities, and of the causal factors underpinning their diversity. This is a necessary precursor to developing an effective response to coastal communities' needs, including as part of the 'levelling up' agenda. The work will help avoid duplication of effort by local studies/interventions which presently need to establish their own criteria, units of analysis and evidence base. A classification of coastal communities will also facilitate shared learning from applied research and the evaluation of local policies, strategies and interventions.
该项目旨在共同设计、实施并公开英国沿海社区的地理人口分类。人们越来越意识到沿海社区面临的许多挑战,这与20世纪70年代对市中心贫困的“重新发现”如出一辙。2021年首席医疗官年度报告中提供的证据显示,英格兰沿海地区的一些健康状况最差,预期寿命较低,许多重大疾病的发病率很高。《2022年升级白皮书》同样指出,海滨城镇的社区需求水平最高,而在那里长大的人的机会却很少。虽然政策注意力开始转向沿海社区的需求,但在制定有效(和具有成本效益)的政策解决方案方面存在许多障碍。我们对沿海社区的性质和多样性认识不足;一些面临严峻挑战,“落后”,而另一些做得很好(“领先”)。关键的经济、社会、文化、政治和历史因素之间潜在的因果关系,动态的(但可修改的)关系,人们知之甚少。由于很少有行政区域主要为沿海人口服务,因此很难为有针对性的政策提供资金和执行。由于大多数关于公共服务的常规数据都是针对LAs、ccg和最近的综合护理系统发布的,沿海社区的具体需求往往没有报告。沿海社区缺乏详细说明其需求的证据基础、表达其需求的政治“声音”,以及制定政策响应的组织背景。在此背景下,本项目旨在通过适当的细粒度数据,共同制定以证据为基础和政策为导向的沿海社区分类。首先,将采用利益相关者参与来帮助识别可能区分沿海地区和非沿海地区的关键变量;就技术和方法问题提供意见;并就如何使分类具有相关性、可用性和可更新性提供建议。第二,该项目将在小地区一级整理、汇总和归类广泛的经济、社会、人口和行政数据,并使用沿海“旗”进行统计分析,以探讨(a)沿海社区的独特属性以及所面临的挑战在多大程度上与其沿海位置和特性特别相关,以及(b)环境因素如何影响与健康、教育有关的结果;不同沿海地区的社会流动性和其他社会经济领域。第三,反映利益相关者的意见,例如,使用哪种数据的聚类方法,是否构建单个分类或针对不同领域的多个分类等,我们将开发沿海社区的分类,由所有整理,汇总和归属数据的档案支持,以及创建分类时使用的所有代码。第四,我们将举办一系列利益相关者研讨会,为有兴趣在实践中使用分类的学者和政策利益相关者提供“如何”指导和示范。分类将有助于更细致地了解沿海社区的不同特征和需求,以及支撑其多样性的因果因素。这是制定有效应对沿海社区需求的必要前提,包括作为“升级”议程的一部分。这项工作将有助于避免目前需要建立自己的标准、分析单位和证据基础的当地研究/干预工作的重复。沿海社区的分类也将促进从应用研究和对地方政策、战略和干预措施的评价中共同学习。
项目成果
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Sheena Asthana其他文献
Why does the NHS struggle to adopt eHealth innovations? A review of macro, meso and micro factors
- DOI:
10.1186/s12913-019-4790-x - 发表时间:
2019-12-01 - 期刊:
- 影响因子:3.000
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Sheena Asthana;Ray Jones;Rod Sheaff - 通讯作者:
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Policy analytics need more than a spreadsheet: a case study in funding formulae
- DOI:
10.1007/s10479-013-1475-4 - 发表时间:
2013-10-12 - 期刊:
- 影响因子:4.500
- 作者:
Paul Hewson;Joyce Halliday;Alex Gibson;Sheena Asthana - 通讯作者:
Sheena Asthana
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