Shi Chunhu, Zhu Lin, Wang Xue, Qin Chunxia, Xu Qi, Tian Jinhui
Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, China.
Int J Nurs Pract. 2014 Dec;20(6):689-700. doi: 10.1111/ijn.12255.
The importance of systematic reviews (SRs) of nursing interventions' impact on practice makes their methodological quality and reporting characteristics especially important as it directly influence their utility for clinicians, patients and policy makers.The study aims to assess the methodological quality and reporting characteristics of SRs of nursing interventions in Chinese nursing journals. Three Chinese databases were searched for SRs of nursing interventions from inception to October 2011. The assessment of multiple systematic reviews (AMSTAR) and Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) statements were used to assess methodological quality and reporting characteristics. Seventy-four SRs were included. The proportion of SRs complying with AMSTAR checklist items ranged from 0% to 82.4%. No SRs reported an 'a priori' design or conflict of interest. Only four items were found to be reported in more than 50% of the SRs: a list of included and excluded studies, the scientific quality of included studies, the appropriate use of methods to combine findings, and formulating conclusions appropriately. The majority of SRs of nursing interventions in China had major methodological and reporting flaws that limited their value to guide decisions. Chinese authors and journals should adopt and keep up with the AMSTAR and PRISMA statements to improve the quality of SRs in this field.
系统评价（SRs）对护理实践影响的重要性使得其方法学质量和报告特征尤为重要，因为这直接影响到它们对临床医生、患者和政策制定者的实用性。本研究旨在评估中文护理期刊中护理干预系统评价的方法学质量和报告特征。检索了三个中文数据库，以获取从创刊至2011年10月的护理干预系统评价。采用多种系统评价的评估（AMSTAR）和系统评价与Meta分析的首选报告项目（PRISMA）声明来评估方法学质量和报告特征。纳入了74篇系统评价。符合AMSTAR清单条目的系统评价比例从0%到82.4%不等。没有系统评价报告“预先”设计或利益冲突。仅发现超过50%的系统评价报告了四项内容：纳入和排除研究的清单、纳入研究的科学质量、合并结果的方法的适当使用以及结论的恰当形成。中国护理干预的大多数系统评价存在重大的方法学和报告缺陷，限制了它们指导决策的价值。中国作者和期刊应采用并跟上AMSTAR和PRISMA声明，以提高该领域系统评价的质量。
