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社会经济因素与初级、预防及健康促进服务中反应性差距之间的关系。

The relationship between socio-economic factors and responsiveness gaps in primary, preventative and health promotion services.

作者信息

Zalmanovitch Yair, Vashdi Dana R

机构信息

Division of Public Administration and Policy, School of political Sciences, University of Haifa, Haifa, Israel.

出版信息

Health Expect. 2015 Dec;18(6):2638-50. doi: 10.1111/hex.12238. Epub 2014 Jul 2.

Abstract

OBJECTIVE

To examine whether there are individual level factors such as socio-economic status that may predict disparities in the public's experiences with and expectations of their health-care providers.

DATA SOURCES/STUDY SETTING: Primary data were collected in 2010. The sample comprised of 1211 Israeli citizens above the age of 18.

STUDY DESIGN

Participants were randomly approached at one points in time and presented with statements regarding practices they experience and practices that are important to them related to primary care, preventive care and health promotion. We calculated a difference scores for each health-care area. We measured socio-economic status (SES) with three separate variables relating to income, education and living location.

DATA COLLECTION/EXTRACTION METHODS: Employees of a professional telephone survey firm conducted the survey. Multiple regression was used with the responsiveness gap in each of three health-care areas as the dependent variables.

PRINCIPAL FINDINGS

We found that level of education is negatively related to the extent of the responsiveness gap in both primary and preventive health care and that income is negatively related to the responsiveness gap in health promotion.

CONCLUSIONS

Personal characteristics such as SES are related to people's perceptions about the extent of the responsiveness gap. Policy makers can now expend efforts and resources in minimizing such responsiveness gaps among specific populations.

摘要

目的

探讨是否存在诸如社会经济地位等个体层面的因素,这些因素可能预测公众在与医疗服务提供者的就医经历及期望方面的差异。

数据来源/研究背景:原始数据于2010年收集。样本包括1211名18岁以上的以色列公民。

研究设计

参与者在某一时刻被随机接触,并被问及有关他们所经历的医疗行为以及对他们而言与初级保健、预防保健和健康促进相关的重要医疗行为的陈述。我们计算了每个医疗领域的差异分数。我们用与收入、教育和居住地点相关的三个独立变量来衡量社会经济地位(SES)。

数据收集/提取方法:由一家专业电话调查公司的员工进行调查。多元回归以三个医疗领域各自的反应差距作为因变量。

主要发现

我们发现教育水平与初级和预防保健中反应差距的程度呈负相关,收入与健康促进中的反应差距呈负相关。

结论

诸如社会经济地位等个人特征与人们对反应差距程度的认知有关。政策制定者现在可以投入努力和资源,以尽量缩小特定人群中的此类反应差距。

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