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地理因素对澳大利亚原住民和非原住民之间可预防住院治疗差异的贡献。

The contribution of geography to disparities in preventable hospitalisations between indigenous and non-indigenous Australians.

机构信息

Centre for Health Research, University of Western Sydney, Sydney, New South Wales, Australia.

出版信息

PLoS One. 2014 May 23;9(5):e97892. doi: 10.1371/journal.pone.0097892. eCollection 2014.

Abstract

OBJECTIVES

To quantify the independent roles of geography and Indigenous status in explaining disparities in Potentially Preventable Hospital (PPH) admissions between Indigenous and non-Indigenous Australians.

DESIGN, SETTING AND PARTICIPANTS: Analysis of linked hospital admission data for New South Wales (NSW), Australia, for the period July 1 2003 to June 30 2008.

MAIN OUTCOME MEASURES

Age-standardised admission rates, and rate ratios adjusted for age, sex and Statistical Local Area (SLA) of residence using multilevel models.

RESULTS

PPH diagnoses accounted for 987,604 admissions in NSW over the study period, of which 3.7% were for Indigenous people. The age-standardised PPH admission rate was 76.5 and 27.3 per 1,000 for Indigenous and non-Indigenous people respectively. PPH admission rates in Indigenous people were 2.16 times higher than in non-Indigenous people of the same age group and sex who lived in the same SLA. The largest disparities in PPH admission rates were seen for diabetes complications, chronic obstructive pulmonary disease and rheumatic heart disease. Both rates of PPH admission in Indigenous people, and the disparity in rates between Indigenous than non-Indigenous people, varied significantly by SLA, with greater disparities seen in regional and remote areas than in major cities.

CONCLUSIONS

Higher rates of PPH admission among Indigenous people are not simply a function of their greater likelihood of living in rural and remote areas. The very considerable geographic variation in the disparity in rates of PPH admission between Indigenous and non-Indigenous people indicates that there is potential to reduce unwarranted variation by characterising outlying areas which contribute the most to this disparity.

摘要

目的

定量分析地理因素和原住民身份在解释澳大利亚原住民和非原住民之间潜在可预防住院(PPH)入院率差异方面的独立作用。

设计、设置和参与者:对澳大利亚新南威尔士州(NSW)2003 年 7 月 1 日至 2008 年 6 月 30 日期间的住院数据进行分析。

主要结果测量

使用多水平模型,根据年龄、性别和居住的统计区域(SLA)调整年龄标准化入院率和调整率比。

结果

在研究期间,PPH 诊断在新南威尔士州共导致 987604 例住院,其中 3.7%为原住民。原住民的年龄标准化 PPH 入院率分别为每 1000 人 76.5 和 27.3。与居住在同一 SLA 的同年龄和性别组的非原住民相比,原住民的 PPH 入院率高 2.16 倍。PPH 入院率的最大差异见于糖尿病并发症、慢性阻塞性肺疾病和风湿性心脏病。原住民的 PPH 入院率和原住民与非原住民之间的差异率都因 SLA 而有显著差异,在偏远地区和农村地区的差异比在主要城市地区更大。

结论

原住民的 PPH 入院率较高,不仅仅是因为他们更有可能居住在农村和偏远地区。原住民和非原住民之间 PPH 入院率差异的地理分布差异很大,这表明通过确定对这种差异贡献最大的偏远地区,可以减少不必要的差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e9e/4032338/3b42d900612b/pone.0097892.g001.jpg

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