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白噪声疗法结合袋鼠式干预在低出生体重儿中的应用
引用本文:郭婉颖,莫蔚农.白噪声疗法结合袋鼠式干预在低出生体重儿中的应用[J].中国现代医生,2023,61(5):83-86.
作者姓名:郭婉颖  莫蔚农
作者单位:台州市第一人民医院心血管内科,浙江台州 318020
基金项目:浙江省医药卫生计划项目(2022KY1385)
摘    要:目的 探讨预警性护理联合动机性访谈在冠心病经皮冠状动脉介入术(percutaneous coronary intervention,PCI)后患者中的应用效果。方法 选取2020年10月至2021年10月台州市第一人民医院收治的接受PCI治疗的冠心病患者180例为研究对象,采用随机数字表法分为对照组(n=90)与研究组(n=90)。两组分别采用常规护理与预警性护理联合动机性访谈模式干预,比较两组患者的西雅图心绞痛量表(Seattle angina questionnaire,SAQ)评分、冠心病自我管理量表(coronary artery disease self-management scale,CSMS)评分、心肺运动试验(cardiopulmonary exercise testing,CPET)、冠心病PCI术后患者赋权护理评价量表和心血管不良事件发生情况。结果 干预后,两组各维度SAQ评分、CSMS评分和总得分、CPET、患者赋权护理评价量表比较,研究组均高于对照组,差异有统计学意义(P<0.05)。干预后,心血管不良事件发生率组间比较,研究组低于对照组,差异有统计学意义(P<0.05)。结论 预警性护理联合动机性访谈,在提高PCI术后患者生活质量、自我管理行为、心肺运动方面均具有显著效果,且还能有效降低血管不良事件发生率,改善护患关系。

关 键 词:冠心病  预警性护理  经皮冠状动脉介入术  动机性访谈  生活质量

Application of white noise therapy combined with kangaroo intervention in low birth weight infants
Abstract:Objective To systematically evaluate the performance of community frailty risk prediction model. Methods PubMed, EMbase, Web of Science, The Cochrane Library, CBM, VIP, WanFang Data and CNKI databases were searched for studies on frailty risk prediction models for the elderly in the community. The search period was from the establishment of the database to August 20, 2022. Two researchers independently screened the literature, extracted the data, and applied the bias risk assessment tool ( PROBAST ) of the prediction model to analyze the bias risk and applicability of the included literature. Results A total of 10 studies, 8 model development studies and 2 model development and validation studies were included. The area under the receiver operating curve of the 10 models was 0.695-0.940. The most predictive factor included in all included models was age. The applicability of the 10 studies was good, but there was a certain bias, mainly due to missing data, insufficient sample size, lack of model performance evaluation and model overfitting. Conclusion There are still some deficiencies in the community frailty risk prediction model. Future research should improve the research design and report according to the prediction model reporting specification, and conduct internal and external validation.
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