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年轻健康女性的社会经济地位、种族和医疗保健可及性

Socioeconomic status, ethnicity, and health care access among young and healthy women.

作者信息

Scarinci I C, Slawson D L, Watson J M, Klesges R C, Murray D M

机构信息

Center for Community Health, University of Memphis, Tennessee 38119, USA.

出版信息

Ethn Dis. 2001 Winter;11(1):60-71.

PMID:11289253
Abstract

This study examined: (a) the relationship between socioeconomic status (SES) and health care access among healthy women; (b) which SES variable(s) were most strongly associated with HCA; and (c) whether the SES/HCA relationship was the same for Black and White women. A total of 383 women (57.4% Whites and 42.6% Blacks) participated in the study. Independent variables included family income, education levels, occupation, median income within zip code of participants' residence, and ethnicity. Dependent variables were the total and subscale scores (accessibility, accommodation, and affordability) on a measure of health care access. Family income was the SES variable that showed the strongest positive association with total health care access, and there was a significant interaction between occupation and ethnicity for total health care access. Unique relationships were observed between each SES variable and each subscale on the health care access measure. The overall patterns between SES and health care access were similar for Blacks and Whites. Results suggest that the relationship between health care access and SES should be investigated through a multi-dimensional approach, and that an array of SES variables must be considered when designing interventions to improve health care access among healthy women.

摘要

本研究考察了

(a)健康女性的社会经济地位(SES)与医疗保健可及性之间的关系;(b)哪些SES变量与医疗保健可及性(HCA)关联最为紧密;以及(c)黑人和白人女性的SES/HCA关系是否相同。共有383名女性参与了该研究(57.4%为白人,42.6%为黑人)。自变量包括家庭收入、教育水平、职业、参与者居住邮编区域内的收入中位数以及种族。因变量是医疗保健可及性测量中的总分及各子量表得分(可及性、便利性和可负担性)。家庭收入是与总体医疗保健可及性呈现最强正相关的SES变量,并且在总体医疗保健可及性方面,职业与种族之间存在显著交互作用。在医疗保健可及性测量中,每个SES变量与每个子量表之间都观察到了独特的关系。黑人和白人在SES与医疗保健可及性之间的总体模式相似。结果表明,应通过多维方法研究医疗保健可及性与SES之间的关系,并且在设计旨在改善健康女性医疗保健可及性的干预措施时,必须考虑一系列SES变量。

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