A PRISMA assessment of the reporting quality of systematic reviews of nursing published in the Cochrane Library and paper-based journals.

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ID: 75049
2019
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Abstract
The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) was released as a standard of reporting systematic reviewers (SRs). However, not all SRs adhere completely to this standard. This study aimed to evaluate the reporting quality of SRs published in the Cochrane Library and paper-based journals.The SRs which evaluate the effectiveness of nursing interventions in 2016 were identified via PubMed. The reporting quality of selected articles was evaluated using the PRISMA checklist. For comparison, we divided these articles into Cochrane review (CR) and non-Cochrane review (NCR). Based on the satisfaction of the applicable criteria, each article is assigned an accumulated score and a total percentage score.Overall, 41.7% articles were concentrated in 19.0 to 22.5 points which represent the moderate quality, 22% articles were high quality. There were still 36.5% articles with low quality. The mean PRISMA score was 20.54 ± 2.367 for CRs, and 18.81 ± 2.536 for NCRs. Although no significant difference was exit between overall CR and NCR scores, there were differences between items 1, 5, 8, 16, 23. Analysis indicated that CR was significantly associated with the overall PRISMA score.Compliance of CR and NCR with PRISMA checklist exhibited different strengths and weaknesses. Our study underscores that nursing researchers should pay more attention to comprehensive reporting of SRs in nursing to follow the PRISMA statement.Nursing researchers who participate in SRs should follow the latest Cochrane Handbook to prepare such study. Meanwhile, the PRISMA statement should be followed strictly to report SRs, so as to improve the quality of SRs.
Reference Key
zhang2019amedicine Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Zhang, Juxia;Han, Lin;Shields, Linda;Tian, Jinhui;Wang, Jiancheng;
Journal Medicine
Year 2019
DOI
10.1097/MD.0000000000018099
URL
Keywords
Bias psychiatry bibliometrics confounding observational studies research reporting

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