目的:系统评价新入职护士(新护士)工作压力体验的质性研究,以期为新护士的工作压力管理与应对提供参考依据。方法:检索PubMed、Web of Science、中国知网等数据库中关于新护士工作压力的质性研究,采用澳大利亚乔安娜布里格斯研究所(JBI...目的:系统评价新入职护士(新护士)工作压力体验的质性研究,以期为新护士的工作压力管理与应对提供参考依据。方法:检索PubMed、Web of Science、中国知网等数据库中关于新护士工作压力的质性研究,采用澳大利亚乔安娜布里格斯研究所(JBI)循证卫生保健中心质性研究质量评价工具评价文献质量,采取Meta整合方法进行整合。结果:共纳入27项研究,提炼37个主要结果,归纳成11个类别,综合成3个整合结果,即多重因素使新护士工作压力倍增,工作压力使新护士产生躯体和情绪反应,新护士的压力应对资源和应对方式。结论:管理者应重视压力对新护士身心健康及工作的影响,采用多种干预措施积极应对,稳定护理队伍和促进护理专业的可持续发展。展开更多
目的对护士留职意愿的质性研究进行Meta整合,为护士留职策略的制定提供参考。方法计算机检索PubMed、Medline、Embase、Web of Science、PsycINFO、中国生物医学文献数据库、中国知网、维普和万方数据库,收集从建库至2023年4月期间关于...目的对护士留职意愿的质性研究进行Meta整合,为护士留职策略的制定提供参考。方法计算机检索PubMed、Medline、Embase、Web of Science、PsycINFO、中国生物医学文献数据库、中国知网、维普和万方数据库,收集从建库至2023年4月期间关于护士留职意愿的质性研究文献。采用JBI循证卫生保健中心的质性研究质量评价标准及混合方法评价工具进行文献质量评价,并使用Meta整合分析。结果共纳入13项研究,提炼出65个研究结果,归纳为13个新类别,得到4个整合结果,分别是护理专业吸引力(护理专业性、职业发展前景和职业认可度)、护理岗位吸引力(岗位匹配性、岗位稳定性、薪酬水平和家庭工作平衡)、工作环境吸引力(物理环境、与患者和家属的联系、团队合作和氛围、管理)和个人特质(个人特性和内在应对)。结论护士留职意愿对解决护理人力资源短缺问题有重要意义。管理者需要重视影响护士留在护理行业的因素,从护理专业、护理岗位和工作环境等层面制定针对性的策略,以提升护士的留职意愿。展开更多
Cloud computing technology facilitates computing-intensive applications by providing virtualized resources which can be dynamically provisioned. However, user’s requests are varied according to different applications...Cloud computing technology facilitates computing-intensive applications by providing virtualized resources which can be dynamically provisioned. However, user’s requests are varied according to different applications’ computation ability needs. These applications can be presented as meta-job of user’s demand. The total processing time of these jobs may need data transmission time over the Internet as well as the completed time of jobs to execute on the virtual machine must be taken into account. In this paper, we presented V-heuristics scheduling algorithm for allocation of virtualized network and computing resources under user’s constraint which applied into a service-oriented resource broker for jobs scheduling. This scheduling algorithm takes into account both data transmission time and computation time that related to virtualized network and virtual machine. The simulation results are compared with three different types of heuristic algorithms under conventional network or virtual network conditions such as MCT, Min-Min and Max-Min. e evaluate these algorithms within a simulated cloud environment via an abilenenetwork topology which is real physical core network topology. These experimental results show that V-heuristic scheduling algorithm achieved significant performance gain for a variety of applications in terms of load balance, Makespan, average resource utilization and total processing time.展开更多
目的:了解医务工作者职业倦怠与离职意愿的关系及其影响因素,为有效干预提供参考建议。方法:检索中国知网、万方、维普、"Springer Link"、"Elsevier SD"、"EBSCO"、"Web of Science"、"O...目的:了解医务工作者职业倦怠与离职意愿的关系及其影响因素,为有效干预提供参考建议。方法:检索中国知网、万方、维普、"Springer Link"、"Elsevier SD"、"EBSCO"、"Web of Science"、"OvidSP"、"PubMed",Google Scholar等中外文数据库,检索建库以来-2021年3月的研究,进行元分析。结果:纳入了61篇文献,包括63个效果量,涵盖25个省级行政区域,总样本量为47033人。元分析结果发现,医务工作者的职业倦怠与离职意愿呈显著正相关,效果量达到了高相关(r=0.43,P<0.001)。地域和文献发表时间能够显著调节职业倦怠与离职意愿的关系(P<0.05)。结论:医务工作者的职业倦怠与离职意愿联系紧密,地域对二者的关系有调节作用,且两者的关系有随年代变迁加强的趋势。展开更多
文摘目的:系统评价新入职护士(新护士)工作压力体验的质性研究,以期为新护士的工作压力管理与应对提供参考依据。方法:检索PubMed、Web of Science、中国知网等数据库中关于新护士工作压力的质性研究,采用澳大利亚乔安娜布里格斯研究所(JBI)循证卫生保健中心质性研究质量评价工具评价文献质量,采取Meta整合方法进行整合。结果:共纳入27项研究,提炼37个主要结果,归纳成11个类别,综合成3个整合结果,即多重因素使新护士工作压力倍增,工作压力使新护士产生躯体和情绪反应,新护士的压力应对资源和应对方式。结论:管理者应重视压力对新护士身心健康及工作的影响,采用多种干预措施积极应对,稳定护理队伍和促进护理专业的可持续发展。
文摘目的对护士留职意愿的质性研究进行Meta整合,为护士留职策略的制定提供参考。方法计算机检索PubMed、Medline、Embase、Web of Science、PsycINFO、中国生物医学文献数据库、中国知网、维普和万方数据库,收集从建库至2023年4月期间关于护士留职意愿的质性研究文献。采用JBI循证卫生保健中心的质性研究质量评价标准及混合方法评价工具进行文献质量评价,并使用Meta整合分析。结果共纳入13项研究,提炼出65个研究结果,归纳为13个新类别,得到4个整合结果,分别是护理专业吸引力(护理专业性、职业发展前景和职业认可度)、护理岗位吸引力(岗位匹配性、岗位稳定性、薪酬水平和家庭工作平衡)、工作环境吸引力(物理环境、与患者和家属的联系、团队合作和氛围、管理)和个人特质(个人特性和内在应对)。结论护士留职意愿对解决护理人力资源短缺问题有重要意义。管理者需要重视影响护士留在护理行业的因素,从护理专业、护理岗位和工作环境等层面制定针对性的策略,以提升护士的留职意愿。
文摘Cloud computing technology facilitates computing-intensive applications by providing virtualized resources which can be dynamically provisioned. However, user’s requests are varied according to different applications’ computation ability needs. These applications can be presented as meta-job of user’s demand. The total processing time of these jobs may need data transmission time over the Internet as well as the completed time of jobs to execute on the virtual machine must be taken into account. In this paper, we presented V-heuristics scheduling algorithm for allocation of virtualized network and computing resources under user’s constraint which applied into a service-oriented resource broker for jobs scheduling. This scheduling algorithm takes into account both data transmission time and computation time that related to virtualized network and virtual machine. The simulation results are compared with three different types of heuristic algorithms under conventional network or virtual network conditions such as MCT, Min-Min and Max-Min. e evaluate these algorithms within a simulated cloud environment via an abilenenetwork topology which is real physical core network topology. These experimental results show that V-heuristic scheduling algorithm achieved significant performance gain for a variety of applications in terms of load balance, Makespan, average resource utilization and total processing time.
