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Latent variable modeling and its implications for institutional review board review: variables that delay the reviewing process

机译:潜在变量建模及其对机构审查委员会审查的影响:延迟审查过程的变量

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Background To investigate the factors related to approval after review by an Institutional Review Board (IRB), the structure equation model was used to analyze the latent variables ‘investigators’, ‘vulnerability’ and ‘review process’ for 221 proposals submitted to our IRB. Methods The vulnerability factor included vulnerable cases, and studies that involved drug tests and genetic analyses. The principal investigator (PI) factor included the license level of the PI and whether they belonged to our institution. The review factor included administration time, total review time, and revision frequency. The revision frequency and total review time influenced the efficiency of review. Results The latent variable of reviewing was the most important factor mediating the PIs and vulnerability to IRB review approval. The local PIs moderated with genetic study and revision frequency had an impact on the review process and mediated non-approval. Conclusions Better guidance of the investigators and reviewers might improve the efficiency with which IRBs function.
机译:背景信息为了调查由机构审查委员会(IRB)审查后与批准相关的因素,使用结构方程模型分析了提交给IRB的221项提案的潜在变量“调查员”,“漏洞”和“审查过程”。方法易损性因素包括易受感染的病例,以及涉及药物测试和基因分析的研究。主要调查人员(PI)的因素包括PI的许可级别以及它们是否属于我们的机构。审查因素包括管理时间,总审查时间和修订频率。修订频率和总审查时间影响了审查的效率。结果审查的潜在变量是中介效绩指标和IRB审查批准脆弱性的最重要因素。通过基因研究和修订频率主持的本地PI对审查过程和未批准的调解有影响。结论更好地指导研究者和审稿人可能会提高IRB运作的效率。

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