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地理位置对死亡率有影响吗?对加拿大偏远指数相关的可避免死亡率的分析。

Does geography matter in mortality? An analysis of potentially avoidable mortality by remoteness index in Canada.

机构信息

Health Statistics Division, Statistics Canada, Ottawa, Ontario.

出版信息

Health Rep. 2019 May 15;30(5):3-15. doi: 10.25318/82-003-x201900500001-eng.

Abstract

BACKGROUND

The avoidable mortality rate is a key indicator of overall health and health care utilization. However, the avoidable mortality rate may differ by the relative remoteness of a community. Avoidable mortality rates specific to remote areas cannot be investigated unless there is a clear geographic classification of remoteness. Therefore, this research uses a newly developed remoteness index to explore the geographic variability of avoidable mortality in Canada.

DATA AND METHODS

The remoteness index, Canadian Vital Statistics-Death Database (2011 to 2015), and the 2016 Census of Population are used to understand the geographic variability of preventable and treatable mortality rates in Canada. Descriptive and multivariate data analysis techniques are used to test the hypothesis that remoteness is one of the statistically significant predictors of avoidable mortality rates in Canada.

RESULTS

There is a clear gradient of preventable and treatable mortality rates by relative remoteness. The preventable and treatable mortality rates are significantly higher in more remote areas than in easily accessible areas. The remoteness index is a good predictor of both preventable and treatable causes of mortality for low-Aboriginal census subdivisions but not for high-Aboriginal census subdivisions in Canada.

DISCUSSION

Both preventable and treatable mortality rates vary significantly by remoteness, despite Canada's universal health care system. The remoteness of Canadian communities may have affected health care delivery and utilization.

摘要

背景

可避免死亡率是衡量整体健康水平和医疗保健利用情况的关键指标。然而,可避免死亡率可能因社区的相对偏远程度而有所不同。除非对偏远程度进行明确的地理分类,否则无法调查特定于偏远地区的可避免死亡率。因此,本研究使用新开发的偏远程度指数来探讨加拿大可避免死亡率的地理变化。

数据和方法

利用偏远程度指数、加拿大生命统计-死亡数据库(2011 年至 2015 年)和 2016 年人口普查数据,了解加拿大可避免死亡率的地理变化情况。采用描述性和多变量数据分析技术,检验偏远程度是加拿大可避免死亡率的一个统计学上显著预测因素的假设。

结果

相对偏远程度与可避免和可治疗死亡率之间存在明显梯度。在更偏远地区,可避免和可治疗死亡率明显高于易到达地区。偏远程度指数是加拿大低原住民人口普查细分地区可避免和可治疗死亡率的一个很好的预测指标,但对高原住民人口普查细分地区则不然。

讨论

尽管加拿大拥有全民医疗保健系统,但可避免和可治疗死亡率都因偏远程度而有显著差异。加拿大社区的偏远程度可能影响了医疗保健的提供和利用。

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