Shah Tayyab Ikram, Milosavljevic Stephan, Bath Brenna
School of Physical Therapy, College of Medicine, University of Saskatchewan, 104 Clinic Place, Saskatoon, SK S7N 2Z4, Canada.
School of Physical Therapy, College of Medicine, University of Saskatchewan, 104 Clinic Place, Saskatoon, SK S7N 2Z4, Canada.
Spat Spatiotemporal Epidemiol. 2017 Jun;21:87-96. doi: 10.1016/j.sste.2017.04.002. Epub 2017 Apr 24.
This research is focused on methodological challenges and considerations associated with the estimation of the geographical aspects of access to healthcare with a focus on rural and remote areas. With the assumption that GIS-based accessibility measures for rural healthcare services will vary across geographic units of analysis and estimation techniques, which could influence the interpretation of spatial access to rural healthcare services. Estimations of geographical accessibility depend on variations of the following three parameters: 1) quality of input data; 2) accessibility method; and 3) geographical area. This research investigated the spatial distributions of physiotherapists (PTs) in comparison to family physicians (FPs) across Saskatchewan, Canada. The three-steps floating catchment areas (3SFCA) method was applied to calculate the accessibility scores for both PT and FP services at two different geographical units. A comparison of accessibility scores to simple healthcare provider-to-population ratios was also calculated. The results vary considerably depending on the accessibility methods used and the choice of geographical area unit for measuring geographical accessibility for both FP and PT services. These findings raise intriguing questions regarding the nature and extent of technical issues and methodological considerations that can affect GIS-based measures in health services research and planning. This study demonstrates how the selection of geographical areal units and different methods for measuring geographical accessibility could affect the distribution of healthcare resources in rural areas. These methodological issues have implications for determining where there is reduced access that will ultimately impact health human resource priorities and policies.
本研究聚焦于与医疗服务可及性地理方面评估相关的方法挑战与考量因素,重点关注农村和偏远地区。假设基于地理信息系统(GIS)的农村医疗服务可及性度量在不同地理分析单元和估计技术间会有所不同,这可能会影响对农村医疗服务空间可及性的解读。地理可及性估计取决于以下三个参数的变化:1)输入数据质量;2)可及性方法;3)地理区域。本研究调查了加拿大萨斯喀彻温省物理治疗师(PT)与家庭医生(FP)的空间分布情况。采用三步浮动集水区(3SFCA)方法计算了两个不同地理单元中PT和FP服务的可及性得分。还计算了可及性得分与简单医疗服务提供者与人口比例的比较。结果因所使用的可及性方法以及用于衡量FP和PT服务地理可及性的地理区域单元的选择而有很大差异。这些发现引发了关于技术问题的性质和程度以及方法考量因素的有趣问题,这些问题可能会影响卫生服务研究和规划中基于GIS的度量。本研究表明地理区域单元的选择和测量地理可及性的不同方法如何可能影响农村地区医疗资源的分布。这些方法问题对于确定可及性降低的区域具有重要意义,而这最终将影响卫生人力资源的优先事项和政策。