文章摘要
高秋芳邢金燕孙运波△ 王惠芬刘冰杜伟.ICU 患者焦虑状况及其相关因素分析[J].,2012,12(15):2931-2933
ICU 患者焦虑状况及其相关因素分析
Investigation of Anxiety and Influencing Factors of ICU Patients
  
DOI:
中文关键词: 重症监护病房  ICU 患者  焦虑  相关因素
英文关键词: Intensive care unit(ICU)  ICU patients  Anxiety  Influence factors
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作者单位
高秋芳邢金燕孙运波△ 王惠芬刘冰杜伟 青岛大学医学院附属医院综合ICU 
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中文摘要:
      目的:调查ICU 患者的焦虑状况,并分析其相关因素,以明确ICU 患者心理健康状况及常见的引起ICU 患者不良情绪反应 的因素。方法:在转出ICU 前12 小时内,对108 名患者进行焦虑自评量表、一般情况调查表的调查。结果:ICU 患者焦虑自评量表 标准分高于国内常模(P<0.001),焦虑发生率为37.0% ;女性、未镇静镇痛、感到孤独渴望家属陪护的患者评分较高(P<0.05);患 者评分随年龄、住ICU 天数、戴呼吸机天数、管路数量、受教育程度、疾病严重程度增加而增高(P<0.05);不同职业的患者评分不 同(P<0.05);能否自由表达和不同医保类型的患者评分无显著差异(P>0.05)。结论:ICU 患者存在明显的焦虑状况,女性、未予 镇静镇痛、感到孤独渴望家属陪护的患者更易出现焦虑;随年龄、住ICU 天数、戴呼吸机天数、管路数量、受教育程度、疾病严重程 度增加焦虑状况加重,不同职业患者焦虑状况不同。
英文摘要:
      Objective: To investigate the current situation of anxiety of ICU patients, analyze factors may influence anxiety situation of them, to understand the psychological health condition of ICU patients and identify the influencing factors. Methods: During the 12 hours before they left ICU, 108 patients were enrolled to complete the questionnaire of the SAS and the general data. Results: ICU patients' score of SAS was above the domestic constant (P<0.001), the incidence rate of anxiety is 37.0%; Female patients, patients without sedation and analgesia and patients with lonely feelings desiring for family member' accompany gained a higher score (P<0.05); As their age,number of days in ICU, number of days using life-support machine, number of pipelines, educational status, severity of illness grows, the ICU patients gained higher scores (P<0.05). Patients with different professions scored differently (P<0.05). Expression and medical insurance didn't affect the score (P>0.05). Conclusions: There exists an obvious problem of anxiety in ICU patients; Female patients, patients without sedation and analgesia and patients with lonely feelings desiring for family member' accompany are more likely to be anxiety; Anxiety problems become more serious as patients' age,number of days in ICU, number of days using life-support machine, number of pipelines, educational status, severity of illness grows. Profession conditions influence patients' anxiety.
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