治疗性沟通对肿瘤患者围手术期焦虑影响的Meta分析

发布时间：2018-03-18 00:29

  本文选题：护理　切入点：治疗性沟通　出处：《重庆医科大学》2015年硕士论文　论文类型：学位论文

【摘要】：目的采用Meta分析的方法对有关治疗性沟通干预效果的对照研究进行分析,探讨治疗性沟通对肿瘤患者围手术期焦虑的影响效果,为治疗性沟通的应用提供循证依据。方法制定检索策略后,计算机检索Pubmecd、。EMbase、Cochrane Library、中国生物医学文献数据库(CBM)、中国知网(CNKI)、中文科技期刊数据库(CSJD)和万方期刊全文数据库,同时辅以手工检索相关文献,全面收集有关治疗性沟通对肿瘤患者围手术期焦虑影响的对照研究。制定文献纳入及排除标准。由2名研究者分别独立筛选文献,对符合纳入标准的文献进行质量评价。应用Review Manager5.2软件进行Meta分析。采用加权均数差(WMD)及95%可信区间(CI)表示计量资料。在对数据分析前,对纳入研究进行异质性检验,当异质性检验P0.05,则认为纳入研究间具有统计学同质性,结果采用固定效应模型(fixed effects model)分析；当P≤0.05,则认为纳入研究间存在统计学异质性,结果采用随机效应模型(random effects model)分析。结果共纳入7篇文献,纳入研究对象506例,其中治疗性沟通和常规护理干预组256例,常规护理对照组250例。Meta分析结果显示,治疗性沟通可改善肿瘤患者围手术期的焦虑[MD=-8.00,95%CI(-8.91,-7.10), P 0.00001],提高肿瘤患者围手术期积极应对[MD=5.50,95%CI (4.05,6.95), P0.00001],降低肿瘤患者围手术期消极应对[MD=-7.62,95%CI (-9.13,-6.11), P0.00001],提升肿瘤患者的护理满意度[MD=0.55,95%CI (0.33,0.77), P0.00001],差异有统计学意义。结论本文汇总分析了多项与治疗性沟通有关的研究,Meta分析显示,治疗性沟通与常规护理相比,前者有助于减轻肿瘤患者围手术期的焦虑,改善肿瘤患者的特质应对方式,提高肿瘤患者对护理服务的满意度。由于纳入本研究的数量尚有限,需要后续大样本研究以进一步深入探讨并明确治疗性沟通对肿瘤患者围手术期焦虑的干预效果,必要时可将该方法更广泛应用于其他患者的辅助性治疗。
[Abstract]:Objective to investigate the effect of therapeutic communication on perioperative anxiety of tumor patients by using Meta analysis. Methods after formulating search strategy, we searched Pubmecdr. EMbase Cochrane Library, Chinese Biomedical Literature Database (CBMN), Chinese Journal of Science and Technology (CNKI), Chinese Journal of Science and Technology (CSJDD) and Wanfang Journal Full-text Database. At the same time, the related literature was retrieved by hand, and a comparative study on the effect of therapeutic communication on perioperative anxiety of tumor patients was collected. The criteria for inclusion and exclusion of the literature were established. The literature was independently screened by two researchers. To evaluate the quality of the literature that meets the inclusion criteria. Meta analysis was carried out with Review Manager5.2 software. The weighted mean difference (WMD) and the 95% confidence interval (CI) were used to represent the measurement data. Before the data were analyzed, the heterogeneity of the inclusion study was tested. When the heterogeneity test is P0.05, it is considered that there is statistical homogeneity among the inclusion studies, and the results are analyzed by fixed effect model fixed effects model, and when P 鈮，

本文编号：1627202