Department of Geography, Ghent University, Krijgslaan 281, S8, B-9000 Ghent, Belgium.
BMC Fam Pract. 2013 Aug 22;14:122. doi: 10.1186/1471-2296-14-122.
In many countries, financial assistance is awarded to physicians who settle in an area that is designated as a shortage area to prevent unequal accessibility to primary health care. Today, however, policy makers use fairly simple methods to define health care accessibility, with physician-to-population ratios (PPRs) within predefined administrative boundaries being overwhelmingly favoured. Our purpose is to verify whether these simple methods are accurate enough for adequately designating medical shortage areas and explore how these perform relative to more advanced GIS-based methods.
Using a geographical information system (GIS), we conduct a nation-wide study of accessibility to primary care physicians in Belgium using four different methods: PPR, distance to closest physician, cumulative opportunity, and floating catchment area (FCA) methods.
The official method used by policy makers in Belgium (calculating PPR per physician zone) offers only a crude representation of health care accessibility, especially because large contiguous areas (physician zones) are considered. We found substantial differences in the number and spatial distribution of medical shortage areas when applying different methods.
The assessment of spatial health care accessibility and concomitant policy initiatives are affected by and dependent on the methodology used. The major disadvantage of PPR methods is its aggregated approach, masking subtle local variations. Some simple GIS methods overcome this issue, but have limitations in terms of conceptualisation of physician interaction and distance decay. Conceptually, the enhanced 2-step floating catchment area (E2SFCA) method, an advanced FCA method, was found to be most appropriate for supporting areal health care policies, since this method is able to calculate accessibility at a small scale (e.g., census tracts), takes interaction between physicians into account, and considers distance decay. While at present in health care research methodological differences and modifiable areal unit problems have remained largely overlooked, this manuscript shows that these aspects have a significant influence on the insights obtained. Hence, it is important for policy makers to ascertain to what extent their policy evaluations hold under different scales of analysis and when different methods are used.
在许多国家,为奖励在指定短缺地区执业的医生,会提供财政援助,以防止基本医疗服务的可及性不平等。然而,如今政策制定者使用相当简单的方法来定义医疗服务的可及性,他们非常倾向于使用在预先定义的行政边界内的医生与人口比(PPR)。我们的目的是验证这些简单的方法是否足以准确指定医疗短缺地区,并探讨它们相对于更先进的基于 GIS 的方法的表现。
我们使用地理信息系统(GIS)对比利时的初级保健医生的可及性进行了全国性研究,使用了四种不同的方法:PPR、与最近医生的距离、累积机会和浮动捕获区(FCA)方法。
比利时政策制定者使用的官方方法(按医生区域计算 PPR)仅提供了医疗服务可及性的粗略表示,尤其是因为考虑了大的连续区域(医生区域)。当应用不同的方法时,我们发现医疗短缺地区的数量和空间分布存在很大差异。
对空间医疗服务可及性的评估和随之而来的政策举措受到所使用方法的影响和依赖。PPR 方法的主要缺点是其聚合方法,掩盖了细微的局部变化。一些简单的 GIS 方法克服了这个问题,但在医生互动和距离衰减的概念化方面存在局限性。从概念上讲,增强的两步浮动捕获区(E2SFCA)方法,一种先进的 FCA 方法,被发现最适合支持区域医疗政策,因为这种方法能够在小尺度(例如,人口普查区)计算可及性,考虑医生之间的互动,并考虑距离衰减。虽然目前在医疗保健研究中,方法差异和可修改的区域单位问题在很大程度上被忽视,但本文表明,这些方面对所获得的见解有重大影响。因此,政策制定者需要确定在不同的分析尺度和使用不同的方法时,他们的政策评估在多大程度上有效。