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内科住院患者睡眠质量障碍原因分析 被引量:4

Cause analysis of quality of sleep disorders for patients hospitalized in de-partment of internal medicine
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摘要 目的 对内科住院患者的睡眠质量进行评估,分析原因和护理对策.方法 选取浙江省舟山市妇幼保健医院、浙江省台州市立医院在2010年3月~2011年4月收治的100例内科住院患者为研究对象,并对这100例患者采用匹兹堡睡眠质量指数指标量表(PSQI)评估与自拟影响睡眠因素的调查表进行调查.结果 患者的PSQI总分为(9.67±4.93)分,有85%的患者在一定程度上有睡眠质量的问题;周遭环境、疾病疼痛感受、心理因素以及对专业知识是睡眠质量的影响患者因素;通过对患者进行相应的护理,护理后PSQI评分[(6.55±5.01)分]明显低于护理前[(9.67±4.93)分],差异有统计学意义(P<0.05),护理后睡眠质量显著提升.结论 通过对内科患者进行PSQI评分及采用自拟影响睡眠因素的调查表进行分析能够帮助护士制订相关的护理对策,是值得在临床上进行推广的评估与调查方法. Objective To evaluate the sleep quality of patients hospitalized in the department of internal medicine,and analysis the causes of poor sleep quality and nursing countermeasure.Methods 100 cases hospitalized in the department of Internal Medicine of Maternal and Child Health Hospital of Zhoushan City and Taizhou Hospital of Zhejiang Province from March 2010 to April 2011 were selected.Pittsburgh sleep quality index scale (PSQI) was used to assess the sleep quality of these patients and self-made questionnaire of factors that affect sleep was used to analysis the causes of poor sleep quality.Results PSQI total score of these patients was (9.67±4.93) points,indicated that 85% of patients with a certain extent of problems in the quality of sleep; surrounding environment,disease,pain and feelings,as well as expertise in psychological were the influencing factors for sleep quality.Through the appropriate patient care,PSQI score after nursing [(6.55±5.01) points] was lower than that before nursing [(9.67±4.93) points],the difference was statistically significant (P 〈 0.05),the sleep quality significantly improved after nursing.Conclusion Assess the sleep quality by PSQI and analysis the causes of poor sleep quality by self-made questionnaire can help nurses to develop related countermeasures,thus worth for promoting in clinical practice.
出处 《中国医药导报》 CAS 2014年第6期143-145,共3页 China Medical Herald
基金 浙江省医药卫生一般研究计划项目(编号2013 KYB292)
关键词 内科住院患者 睡眠质量 影响分析 Patients hospitalized in department of internal medicine Sleep quality Effect analysis
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