【作者】 史雅翼；

【导师】 谢隆化；

【作者基本信息】 浙江大学 ， 流行病与卫生统计学， 2002， 硕士

【摘要】 目的 研究人群卫生服务需求和利用及其影响因素是卫生服务研究的重要课题，近些年来，我国居民卫生服务的需求和利用发生了十分显著的变化。两周患病与就诊是反映居民医疗服务需求和利用的重要指标，影响两周患病与就诊的因素多且复杂，国内外对此进行了一定的研究，许多因素在已有的研究中结果并不一致。 线性结构方程模型是一种线性统计建模技术，能将显在变量作为隐变量的标识，并允许这两种变量存在测量误差。它不但能研究标志变量，又可研究不能直接观测的隐变量，既可研究变量间的直接作用，又可研究变量间的间接作用。本研究拟采用线性结构方程模型对居民两周患病与就诊的影响因素及其潜在变量与居民两周患病与就诊之间的关系进行分析，一方面，探讨此方法应用于卫生服务研究的适宜性，另一方面，为卫生部门采取对策，改善医疗保健工作提供参考依据。 资料来源与方法 资料来源于1998年浙江省卫生服务调查家庭健康询问调查。该调查按照四阶段整群随机抽样法从全省共抽取12个县7200户住户，本次研究对象为其中15岁及以上居民，城市2906人，农村16278人。家庭健康询问调查的内容包括(1)调查家庭成员的基本情况；(2)家庭经济、住房情况及环境状况；(3)家庭成员享受的医疗保障制度和卫生服务可得性；(4)家庭成员的两周内病伤、半年内慢性病患病及就诊情况等。 本文将整个人群分为城市地区居民和农村地区屠民两个人群，初始模型共设 有生理状态、社会因素、经济状况、居住卫生条件、生活习惯、病残状态、卫生 可得性、两周患病、两周就诊等九个隐变量，分别用年龄、性别等二十个标志变 量来标识。采用SAS6．12对数据进行线性结构方程模型拟合，采用ADF法进行参 数估计。 结 呆 在城市模型中，病残状态和经济状况对两周患病有直接影响，其标化效应系 数分别为0．3854和－0．0604社会因素和生理状态通过病残状态对两周患病有间 接影响，其标化效应系数分别为－0．2012和 0．0513。两周就诊仅受两周患病的直 接影响，其标化效应系数为0．6663；其它各因素均为间接影响，其影响从大到 小依次为病残状态、社会因素、经济状况和生理状态，对两周就诊的标化效应系 数分别为 0．2568、－0．1341、－0．0402和 0．0342。 在农村模型中，病残状态、居住卫生条件和社会因素均为直接影响两周患病 的主要因素，其标化效应系数分别为0．叨15、0．1410和－0．0田6：经济状况除对 两周患病有直接影响外，还通过居住卫生条件和病残状态对两周患病产生间接作 用，其总的标化效应系数为－0．1242；生理状态通过病残状态对两周患病产生间 接影响，其标化效应系数为 0．1581。影响两周就诊的各因素中，两周患病与之 直接相关，其标化效应系数为0．7552；经济状况同时具有直接和间接作用，其 总的标化效应系数为－0．11 54；其它各因素均为间接影响，其影响从大到小依次 为病残状态、生理状态、居住卫生条件和社会因素，对两周就诊的标化效应系数 分别为 0．3334、0．1194、0．1065和－0．0443。 结 论 本文利用线性结构方程模型对居民两周患病与就诊的影响因素进行分析，探 索了各因素之间的直接与间接作用。在城市模型中，病残状态和经济状况对两周 患病起着直接作用，而生理状态和社会因素通过病残状态对两周患病起着间接作 用；各因素通过两周患病对两周就诊间接产生影响。在农村，影响两周患病的直接因素除与城市相同的病残状态和经济状况外，还有社会因素和居住卫生条件，间接因素除生理状态与城市相同外，还有经济状况；除了两周患病外经济状况对两周就诊也起了直接作用外，其它因素对两周就诊的影响主要是通过两周患病起间接作用。线性结构方程模型在卫生服务研究领域中有一定的适用性。更多还原

【Abstract】 ObjectiveIt is important to study the requirements and utilizations of health service including their affecting factors. In recent years, the requirements and utilizations of health service have changed remarkably. Reporting illness and seeking medical care within 2 weeks are important indexes of health service requirements and utilizations, which have many affecting factors and their relationships are complicated. Some researches have been done internal and external but many affecting factors are inconsistent in those researches.Structural equation model is a method of linear statistical modeling, which makes the observed variables indicate the latent variables and allows the observed and latent variables have measurement errors. It can research not only the observed and latent variables but also the direct and indirect effect between these variables. In this study, structural equation model was used to analyze the relationship between the reporting illness > seeking medical care within 2 weeks and their affecting factors ^ latent variables.Materials and methodsThe data in this study came from the family health survey of Zhejiang Province in 1998. 7200 families from 12 counties were selected by four-stage cluster sampling. A total of 2906 residents lived in urban area and 16278 residents lived in rural area aged 15 or over were included for analysis. The content of the survey was composed of (1) general characteristics of family members; (2) economic state > housing conditions and surroundings of the family; (3) health insurance situation andacquirement of health service of family members; (4) circumstance of family members about whether they had illness within 2 weeks and chronic disease within recent half year and whether they went to see doctors.The whole participators were divided into urban population and rural population in analysis. The original model had 9 latent variables, which were indicated by 20 observed variables. SAS 6.12 was used to fit the structural equation model and the parameters were estimated by ADF method.ResultIn urban model, morbid status and economic conditions had direct effect on reporting illness within 2 weeks and the standardized coefficients were 0.3854 and -0.0604. Social factor and physiological conditions influenced reporting illness within 2 weeks indirectly through morbid status, the standardized coefficients were -0.2012 and 0.0513 respectively. Residents’ seeking medical care within 2 weeks was influenced indirectly by all factors except the reporting illness within 2 weeks. The standardized coefficient of reporting illness to it was 0.6663. According to their influence to seeking medical care, those indirect factors were morbid status > social factor ., economy conditions and physiological conditions orderly and their standardized coefficient were 0.2568 > -0.1341 > -0.0402 and 0.0342 respectively.In rural model, morbid status x sanitary conditions of family and social factor influenced the reporting illness within 2 weeks directly and their standardized coefficients were 0.4415s 0.1410 and -0.0586 respectively. Economic conditions not only had direct effect but also had indirect effect on residents’ reporting illness through sanitary conditions of family and morbid status. The total standardized coefficient of economy conditions was -0.1242. Physiological conditions influenced residents’ reporting illness within 2 weeks indirectly through morbid status and the standardized coefficient was 0.1581. Residents’ seeking medical care was influenced by all factors. Reporting illness had direct relationship to it, the standardized coefficient was 0.7552. Economy conditions had both direct and indirect effect on it, the total standardized coefficient was -0.1154. Other factors had indirect effect on it.According to their influence, those indirect factors were morbid status, physiology condition, Sanitary conditions of family and social factor orderly and their standardized coefficients were 0.3334, 0.1194> 0.1065 and -0.0443.ConclusionIn th更多还原