Norwich Medical School, University of East Anglia, United Kingdom.
Norwich Medical School, University of East Anglia, United Kingdom.
Soc Sci Med. 2019 Apr;227:93-103. doi: 10.1016/j.socscimed.2018.09.019. Epub 2018 Sep 15.
Geographical deprivation indices such as the English Index of Multiple Deprivation (IMD) have been widely used in healthcare research and planning since the mid-1980s. However, such indices normally provide a measure of disadvantage for the whole population and can be inflexible to adaptation for specific geographies or purposes. This can be an issue, as the measurement of deprivation is subjective and situationally relative, and the type of deprivation experienced within rural areas may differ from that experienced by urban residents. The objective of this study was to develop a Rural Deprivation Index (RDI) using the English county of Norfolk as a case study, but with a view to adopting a flexible approach that could be used elsewhere. It is argued that the model developed in this research gives clarity to the process of populating an index and weighting it for a specific purpose such as rural deprivation. This is achieved by 'bundling' highly correlated indicators that are applicable to both urban and rural deprivation into one domain, and creating a separate domain for indicators relevant to the setting of interest, in this case rural areas. A further domain is proposed to account for population differences in rural areas. Finally, a method was developed to measure variability in deprivation within small areas. The RDI results in more rural areas in Norfolk falling in the most deprived quintile, particularly those classified as 'Rural town and fringe in sparse settings'; these areas also have high levels of heterogeneity of deprivation when using the variability measure created. This model proposed has the potential to provide a starting point for those who wish to create a summary deprivation measure taking into account rurality, or other local geographic factors, and as part of a range of approaches that can be used to allocate, or apply for, resources.
地理剥夺指数,如英国多重剥夺指数(IMD),自 20 世纪 80 年代中期以来,已广泛应用于医疗保健研究和规划。然而,此类指数通常为整个人口提供不利程度的衡量标准,并且难以适应特定地理区域或特定目的的调整。这可能是一个问题,因为剥夺的衡量是主观的,并且与情况相关,农村地区经历的剥夺类型可能与城市居民不同。本研究的目的是使用英国诺福克郡作为案例研究开发农村剥夺指数(RDI),但旨在采用灵活的方法,可以在其他地方使用。有人认为,本研究中开发的模型为为特定目的(如农村贫困)填充指数和对其进行加权的过程提供了清晰的认识。这是通过将适用于城市和农村贫困的高度相关指标“捆绑”到一个领域中,并为相关设置(在这种情况下为农村地区)创建一个单独的指标领域来实现的。建议设立另一个领域,以说明农村地区人口差异。最后,开发了一种方法来衡量小区域内贫困的变异性。RDI 的结果是,诺福克更多的农村地区落入最贫困的五分位数,特别是那些被归类为“农村城镇和边缘地带,人口稀少”的地区;当使用创建的变异性衡量标准时,这些地区的贫困程度也很高。所提出的这种模型有可能为那些希望创建考虑农村或其他地方地理因素的综合贫困衡量标准的人提供一个起点,并作为一系列可用于分配或申请资源的方法之一。