绘制加拿大物理治疗使用与物理治疗师分布的关系。

T. Shah, S. Milosavljevic, C. Trask, B. Bath
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引用次数: 18

摘要

目的:在这项横断面研究中,我们研究了加拿大卫生地区物理治疗师的分布与各省和地区自我报告的物理治疗使用情况的关系。方法:我们利用两个数据来源:2014年加拿大社区卫生调查中的物理治疗使用问题和加拿大卫生信息研究所2015年物理治疗师数据库中物理治疗师的主要就业信息。然后,我们将地理空间映射和Pearson相关分析应用于结果变量。结果:物理治疗的使用与物理治疗师的分布有中度相关性(Pearson’s r 92 = 0.581, p < 0.001)。使用和分布变量以国家平均值的标准差0.5作为临界值,将其转换为三类。变量间的交叉分类表明,15.2%的卫生区域具有高使用率-高分布比;使用-分配比低的占18.5%;4.3%具有高使用-低分配比;使用-高分配比低的占2.2%;60.0%为中等使用-中等分配比例。结论:物理治疗师的分布和自我报告的物理治疗使用情况在不同的卫生区域有所不同,表明地理上可能存在不平等。鉴于大多数省份在卫生人力资源和卫生服务提供方面采取了区域化的方法,这些发现可能对管理者和决策者有所帮助,并可能使他们能够对省内和省间差异和潜在差距进行更细致的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mapping Physiotherapy Use in Canada in Relation to Physiotherapist Distribution.
Purpose: In this cross-sectional study, we examined the distribution of physiotherapists at the health region level across Canada in relation to self-reported physiotherapy use across the provinces and territories. Method: We drew on two data sources: the physiotherapy use question from the 2014 Canadian Community Health Survey and physiotherapists' primary employment information, obtained from the Canadian Institute of Health Information's 2015 Physiotherapist Database. We then applied geospatial mapping and Pearson's correlation analysis to the resulting variables. Results: Physiotherapy use is moderately associated with the distribution of physiotherapists (Pearson's r 92 = 0.581, p < 0.001). The use and distribution variables were converted into three categories using SDs of 0.5 from national means as cut-off values. Cross-classification between the variables revealed that 15.2% of health regions have a high use-high distribution ratio; 18.5% have a low use-low distribution ratio; 4.3% have a high use-low distribution ratio; 2.2% have a low use-high distribution ratio; and 60.0% have medium use-medium distribution ratio. Conclusions: The distribution of physiotherapists and self-reported physiotherapy use varies across health regions, indicating a potential inequality in geographical access. Given that most provinces have a regionalized approach to health human resources and health service delivery, these findings may be helpful to managers and policy-makers and may allow them to make a more granular comparison of intra- and inter-provincial differences and potential gaps.
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