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Social capital and administrative contextual determinants of lack of access to a regular doctor: A multilevel analysis in southern Sweden.

机译:无法获得普通医生的社会资本和行政背景决定因素:瑞典南部的多层次分析。

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摘要

Background The aim of this study was to investigate the influence of contextual (social capital and administrative/neo-materialist) and individual factors on lack of access to a regular doctor. Methods The 2000 public health survey in Scania is a cross-sectional study. A total of 13,715 persons answered a postal questionnaire, which is 59% of the random sample. A multilevel logistic regression model, with individuals at the first level and municipalities at the second, was performed. The effect (intra-class correlations, cross-level modification and odds ratios) of individual and municipality (social capital and health care district) factors on lack of access to a regular doctor was analysed using simulation method. The Deviance Information Criterion (DIC) was used as information criterion for the models. Results The second level municipality variance in lack of access to a regular doctor is substantial even in the final models with all individual and contextual variables included. The model that results in the largest reduction in DIC is the model including age, sex and individual social participation (which is a network aspect of social capital), but the models which include administrative and social capital second level factors also reduced the DIC values. Conclusions This study suggests that both administrative health care district and social capital may partly explain the individual's self reported lack of access to a regular doctor.
机译:背景技术这项研究的目的是调查背景因素(社会资本和行政/新物质主义者)和个人因素对无法获得正规医生的影响。方法斯堪尼亚的2000年公共卫生调查是一项横断面研究。共有13,715人回答了邮政问卷,占随机样本的59%。进行了多级逻辑回归模型,其中第一层是个人,第二层是市政当局。使用模拟方法分析了个人和城市(社会资本和医疗保健区)因素对缺乏正规医生的影响(类内相关性,跨级别修改和比值比)。偏差信息准则(DIC)被用作模型的信息准则。结果即使在最终模型中(包括所有个人和背景变量在内),二级市政府在缺乏正规医生帮助下的差异也很大。导致DIC减少最多的模型是包括年龄,性别和个人社会参与(这是社会资本的网络方面)的模型,但是包括行政和社会资本第二级因素的模型也降低了DIC值。结论该研究表明,行政医疗区和社会资本都可以部分解释个人自我报告的缺乏正规医生的情况。

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