恶性肿瘤患者入组音乐治疗相关影响因素及生存分析研究

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1、授予单位代码10089学号或申请号20153526中国图书分类号R730.58HebeiMedicalUniversity硕士学位论文专业学位恶性肿瘤患者入组音乐治疗相关影响因素及生存分析研究研究生：王泽群导师：魏素菊教授专业：肿瘤学二级学院：第四医院2018年3月目录中文摘要·······································································································1英文摘要·······

2、································································································3英文缩写·······································································································5研究论文恶性肿瘤患者入组音乐治疗相关影响因素及生存分析研究前言··················

3、·····················································································6材料与方法·······························································································6结果·································································

4、······································7附图·······································································································12附表·······································································································14讨

5、论·······································································································17结论·······································································································21参考文献·····································

6、···························································22附录·······································································································25综述音乐治疗的发展及其在恶性肿瘤中的应用·····································27致谢·························

7、··············································································32个人简历·······································································································33中文摘要恶性肿瘤患者入组音乐治疗相关影响因素及生存分析研究摘要目的：如今，音乐治疗逐渐被人们所了解，但由于很多原因导致音乐治疗的开

8、展并不容易，在进行音乐治疗宣教后，很多患者仍然质疑音乐治疗的疗效，并未入组音乐治疗。本研究通过回顾性分析影响患者入组音乐治疗的相关因素及生存分析研究，为合适的音乐治疗宣教方式提供借鉴。方法：1收集2014年3月-2016年1月就诊于河北医科大学第四医院肿瘤内科经病理确诊的恶性肿瘤患者，共258例。根据是否愿意入组音乐治疗分为两组，不愿意入组患者为对照组，愿意入组患者为干预组。2采用问卷调查的方式对患者进行调查，探讨两组在年龄、性别等9个因素