College of Public Health, The Ohio State University, Columbus, OH, USA.
College of Public Health, The Ohio State University, Columbus, OH, USA.
Soc Sci Med. 2018 Oct;215:123-132. doi: 10.1016/j.socscimed.2018.09.005. Epub 2018 Sep 8.
The purpose of this study was to develop and test a new continuous measure for rural health disparities research that characterizes geographic areas according to a perspective of access to resources. We call the measure Isolation and anticipate it will be useful as an alternative to commonly used rural classification schemes (e.g., the Census Bureau's measure). Following the best known standards for measuring rurality, it captures the trade-off between access to resource-rich, high-population-density areas and the cost of travel to those areas; thus even intrinsically low-resource areas may have high access to nearby resources. Validity was tested with proxies such as distance to hospitals, physician availability, and access to high quality food. The Isolation scale demonstrated good construct validity (i.e., both convergent and criterion validity). Fit statistics indicated that, compared to other commonly-used urban/rural definitions, the Isolation scale was the best overall measure when predicting several proxies for rurality, even when categorized. We also show that the measure does a substantially better job at explaining national health outcome data at the state level. This new continuous Isolation scale shows considerable promise for improving our conceptualization, theorization, and measurement of the features of rurality that are pertinent to rural health disparities research, and can also be useful to policy makers who may find value in using isolation thresholds that are most relevant to their policy planning needs.
本研究旨在开发和测试一种新的农村卫生差异研究的连续衡量标准,该标准根据资源获取的角度来描述地理区域。我们称之为“隔离度”,预计它将作为常用农村分类方案(例如,人口普查局的方案)的替代方案非常有用。它遵循衡量农村性的最知名标准,捕捉了在资源丰富、人口密度高的地区获得资源与前往这些地区的成本之间的权衡;因此,即使是资源本来就匮乏的地区,也可能拥有接近附近资源的高机会。其有效性通过医院距离、医生的可用性和获取高质量食物等指标进行了测试。隔离度量表表现出良好的结构有效性(即收敛有效性和标准有效性)。拟合统计数据表明,与其他常用的城乡定义相比,在预测农村性的几个替代指标时,隔离度量表是整体上最好的衡量标准,即使进行了分类。我们还表明,该衡量标准在解释国家卫生结果数据方面在州一级表现出色。这种新的连续隔离度量表在改善我们对与农村卫生差异研究相关的农村特征的概念化、理论化和衡量方面显示出很大的潜力,对于政策制定者也可能很有用,他们可能会发现使用最符合其政策规划需求的隔离阈值具有价值。