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影响溃疡性结肠炎药物治疗遵医行为的相关因素分析

Analysis on the Relevant Factors Influencing Medicine Compliance Behavior of Ulcerative Colitis Patients
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摘要 为探讨影响溃疡性结肠炎药物治疗遵医行为的相关因素,本研究回顾我科2014年2月至2015年6月收治的90例溃疡性结肠炎患者资料,采用单因素分析及多因素Logistic回归分析法分析遵医行为与患者基本信息及疾病相关信息的相关性。结果显示,本组90例患者中,遵医行为佳者38例(42.22%),遵医行为差者52例(57.78%)。单因素分析显示,遵医行为与患者性别、年龄、受教育程度、医疗费用支付方式、疾病相关知识掌握程度、病程、病情、疾病类型、药物服用种类、不良反应有关,P〈0.05。多因素Logistic分析显示,高龄(≥60岁)、疾病相关知识掌握差、存在药物不良反应、自费是影响溃疡性结肠炎患者遵医行为的独立危险因素。结果表明,影响溃疡性结肠炎药物治疗遵医行为的因素较多,临床应对存在独立危险因素的患者进行重点护理干预,以提高患者药物治疗遵医行为,从而提高临床治疗效果。 This study was to explore the relevant factors influencing medicine compliance behavior of ulcerative colitis (UC) patients~ retrospectively analyzed 90 cases' data who admitted in author's department from Feb.2014 to June 2015 and the relationship between compliance behavior and the basic information of patients & the relevant information of disease by the method of single-variate analysis and multi-variate Logistic regression analysis .As results,in 90 cases,38 cases had good compliance behavior(42.22%);bad compliance behavior was in 52 cases (57.78%). Single-variate analysis was related with gender,age,educated degree,pay method of medical co showed that compliance behavior st, mastery degree of relevant dis-ease knowledge, disease course, pathogenic condition, disease type, medication type, and adverse reaction ( P 〈0.05). Multi-variate Logistic regression analysis showed that the independent risk factors that influ-ence UC were advanced age (≥60 years old), poor mastery about disease knowledge, adverse reaction to medicine,self-paying medical cost. In conclusion, there are a lot of factors that influence medicine compli-ance behavior of UC;the patients that possessing independent risk factors should be emphasized to nurse and intervene in order to improve their medicine compliance behavior,therefore to enhance efficacy of clinical treatment.
作者 徐英
出处 《中国肛肠病杂志》 2016年第8期54-56,共3页 Chinese Journal of Coloproctology
关键词 溃疡性结肠炎 药物治疗 遵医行为 影响因素 分析 Ulcerative colitis Medication Compliance behavior Influence factor Analysis
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