MRC North West Hub for Trials Methodology Research, Department of Biostatistics, University of Liverpool, Liverpool, UK.
Department of Biostatistics, University of Liverpool, Liverpool, UK.
J Clin Epidemiol. 2019 Apr;108:110-120. doi: 10.1016/j.jclinepi.2018.12.010. Epub 2018 Dec 15.
The Delphi method is commonly used to achieve consensus in core outcome set (COS) development. It is important to try to maximize response rates to Delphi studies and minimize attrition rates and potential for bias. The factors that impact response rates in a Delphi study used for COS development are unknown. The objective of this study was to explore the impact of design characteristics on response rates in Delphi surveys within COS development.
Published and ongoing studies that included Delphi to develop a COS were eligible. Second round voting response rates were analyzed, and multilevel linear regression was conducted to investigate whether design characteristics were associated with the response rate.
Thirty-one studies were included. Two characteristics were significantly associated with a lower response rate: larger panels and studies with more items included.
COS developers should pay attention to methods when designing a COS development study; in particular, the size of the panels and the size of the list of outcomes. We identified other potential design characteristics that might influence response rates but were unable to explore them in this analysis. These should be reported in future reports to allow for further investigation.
德尔菲法常用于核心结局集(COS)的开发以达成共识。在德尔菲研究中,重要的是尽量提高回复率,降低失访率和潜在的偏倚。用于 COS 开发的德尔菲研究中影响回复率的因素尚不清楚。本研究的目的是探讨设计特征对 COS 开发中德尔菲调查回复率的影响。
符合条件的研究包括已发表和正在进行的使用德尔菲法开发 COS 的研究。分析第二轮投票的回复率,并进行多水平线性回归,以调查设计特征是否与回复率相关。
共纳入 31 项研究。有两个特征与较低的回复率显著相关:较大的小组和纳入更多条目的研究。
COS 开发者在设计 COS 开发研究时应注意方法;特别是小组的规模和结局清单的大小。我们确定了其他可能影响回复率的潜在设计特征,但在本分析中无法对其进行探讨。在未来的报告中应报告这些特征,以便进一步调查。