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find Keyword "特征分析" 2 results
  • The Characteristics Analysis of 3 030 Hospitalized Death Patients from 2007 to 2011

    目的 了解住院患者病死率以及死亡病例的年龄、性别及主要死因的分布状况,为疾病预防治疗提供科学依据。 方法 对重庆医科大学附属第二医院2007年1月-2011年12月3 030例住院死亡患者进行统计分析,根据国际疾病分类第10版(ICD-10)进行疾病分类,所有资料经SPSS 13.0软件进行统计分析。 结果 该院近5年共有出院患者173 411例,死亡3 030例,病死率1.75%。各年龄段男性患者病死率均高于女性。各年度、不同性别前3位死因均依次为:肿瘤、循环系统疾病、呼吸系统疾病。 结论 慢性非传染性疾病是住院患者的主要死亡原因。提高医疗技术水平、普及群众的预防保健知识、大力开展健康体检是降低病死率的主要措施。

    Release date:2016-09-08 09:16 Export PDF Favorites Scan
  • Characteristics of the methodological studies on patient compliance in clinical trials in China

    ObjectivesTo explore the characteristics of Chinese methodological studies on patient compliance in clinical trials so as to provide reference for clinical trial of patient compliance in future.MethodsCNKI, VIP, CBM and WanFang Data databases were electronically searched to collect methodological studies on patient compliance in clinical trials published in Chinese language from January 2000 to December 2018. Two reviewers independently screened literature, extracted data and then, qualitative analysis of document characteristics was then performed.ResultsA total of 84 articles were included, in which 68 were studies on Western medicine and 16 were studies on traditional Chinese medicine (TCM). The results showed that: the quantity of studies on patient compliance increased along with time. However, those in TCM field did not increase. All included studies summarized their strategies to improve patient compliance, however key information for quality evaluation were missing.ConclusionsThere is still a lack of research on how to improve patients’ compliance in clinical trials to ensure the reliability of the results. Existing studies have not systematically and comprehensively explored the influencing factors of patients’ compliance. Clinical trials researchers in China have not focused sufficiently to patients’ compliance and lack the proper methodology to frame studies.

    Release date:2019-06-25 09:56 Export PDF Favorites Scan
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