本文選題：護理　切入點：治療性溝通　出處：《重慶醫(yī)科大學》2015年碩士論文　論文類型：學位論文

【摘要】：目的采用Meta分析的方法對有關治療性溝通干預效果的對照研究進行分析,探討治療性溝通對腫瘤患者圍手術期焦慮的影響效果,為治療性溝通的應用提供循證依據。方法制定檢索策略后,計算機檢索Pubmecd、。EMbase、Cochrane Library、中國生物醫(yī)學文獻數據庫(CBM)、中國知網(CNKI)、中文科技期刊數據庫(CSJD)和萬方期刊全文數據庫,同時輔以手工檢索相關文獻,全面收集有關治療性溝通對腫瘤患者圍手術期焦慮影響的對照研究。制定文獻納入及排除標準。由2名研究者分別獨立篩選文獻,對符合納入標準的文獻進行質量評價。應用Review Manager5.2軟件進行Meta分析。采用加權均數差(WMD)及95%可信區(qū)間(CI)表示計量資料。在對數據分析前,對納入研究進行異質性檢驗,當異質性檢驗P0.05,則認為納入研究間具有統(tǒng)計學同質性,結果采用固定效應模型(fixed effects model)分析；當P≤0.05,則認為納入研究間存在統(tǒng)計學異質性,結果采用隨機效應模型(random effects model)分析。結果共納入7篇文獻,納入研究對象506例,其中治療性溝通和常規(guī)護理干預組256例,常規(guī)護理對照組250例。Meta分析結果顯示,治療性溝通可改善腫瘤患者圍手術期的焦慮[MD=-8.00,95%CI(-8.91,-7.10), P 0.00001],提高腫瘤患者圍手術期積極應對[MD=5.50,95%CI (4.05,6.95), P0.00001],降低腫瘤患者圍手術期消極應對[MD=-7.62,95%CI (-9.13,-6.11), P0.00001],提升腫瘤患者的護理滿意度[MD=0.55,95%CI (0.33,0.77), P0.00001],差異有統(tǒng)計學意義。結論本文匯總分析了多項與治療性溝通有關的研究,Meta分析顯示,治療性溝通與常規(guī)護理相比,前者有助于減輕腫瘤患者圍手術期的焦慮,改善腫瘤患者的特質應對方式,提高腫瘤患者對護理服務的滿意度。由于納入本研究的數量尚有限,需要后續(xù)大樣本研究以進一步深入探討并明確治療性溝通對腫瘤患者圍手術期焦慮的干預效果,必要時可將該方法更廣泛應用于其他患者的輔助性治療。
[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，

本文編號：1627202