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OBJECTIVE: To estimate the prevalence of depressive symptoms and to determine the impact of socio-demographic variables, chronic diseases and health-related events on depression in a community sample of older adults in Xi'an, Shaanxi Province. METHODS: Cross sectional, multistage community survey. A semi-structured questionnaire including socio-demographic characteristics, physical health, chronic diseases and health-related events was administered to 1587 older adults from eight communities. Depression was assessed using the 30-item Geriatric Depression Scale (GDS) with a threshold of <11/11+. Analysis was conducted using SPSS16.0 Complex Samples Logistic analysis procedure. RESULTS: The prevalence of depression was 27.0% (95% CI 24.7-29.2%). In a univariate analysis, the following variables were significantly associated with depression: female gender, low max income, coronary heart disease, suffering 3 or above chronic diseases and functional impairments, 4 adverse life events (financial problems, death of closely related person, unpleasantness experience and horrifying experience) and suffering 1 or above adverse life events. After adjustment for age and gender, odds ratios for depression were significantly higher for coronary heart disease, suffering 3 or above chronic diseases and functional impairments, adverse life event (financial problems, unpleasantness experience) and suffering 3 or above adverse life events. CONCLUSIONS: According to GDS estimates, 27.0% Chinese urban older adult had depression symptoms. In designing prevention programs, detection and management of older patients with depression should be a high priority in developing countries.

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OBJECTIVES: This study is aimed at developing a set of data groups (DGs) to be employed as reusable building blocks for the construction of the eight most common clinical documents used in China's general hospitals in order to achieve their structural and semantic standardization. METHODS: The Diagnostics knowledge framework, the related approaches taken from the Health Level Seven (HL7), the Integrating the Healthcare Enterprise (IHE), and the Healthcare Information Technology Standards Panel (HITSP) and 1,487 original clinical records were considered together to form the DG architecture and data sets. The internal structure, content, and semantics of each DG were then defined by mapping each DG data set to a corresponding Clinical Document Architecture data element and matching each DG data set to the metadata in the Chinese National Health Data Dictionary. By using the DGs as reusable building blocks, standardized structures and semantics regarding the clinical documents for semantic interoperability were able to be constructed. RESULTS: Altogether, 5 header DGs, 48 section DGs, and 17 entry DGs were developed. Several issues regarding the DGs, including their internal structure, identifiers, data set names, definitions, length and format, data types, and value sets, were further defined. Standardized structures and semantics regarding the eight clinical documents were structured by the DGs. CONCLUSIONS: This approach of constructing clinical document standards using DGs is a feasible standard-driven solution useful in preparing documents possessing semantic interoperability among the disparate information systems in China. These standards need to be validated and refined through further study.

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Objective To construct a safe,stable and credible system for the running of network system and improve its application effect.Method Starting with the information system construction in Xijing hospital,the existent network system was programmed and rebuilt by establishing a assistant switch core and constructing multi-center redundancy link.Conclusion The rebuilt information system of Xijing hospital attains the anticipated effect,and shows rationality and practicability in use.What's more,combined with actual experience,the rebuild of hospital network system was summarized and suggestions were given.