Department of Emergency Medicine, University of Alberta, Edmonton, AB, Canada.
Department of Translational Medicine, Universita' del Piemonte Orientale, Novara, Italy.
Disaster Med Public Health Prep. 2024 Oct 30;18:e115. doi: 10.1017/dmp.2024.88.
While many medical practitioners value the interactive nature of in-person conferences, results of these interactions are often poorly documented. The objective of this study was to pilot the Delphi method for developing consensus following a national conference and to compare the results between experts who did and did not attend.
A 3-round Delphi included experts attending the 2023 Society of Disaster Medicine and Health Preparedness Annual Meeting and experts who were members of the society but did not attend. Conference speakers provided statements related to their presentations. Experts rated the statements on a 1-7 scale for agreement using STAT59 software (STAT59 Services Ltd, Edmonton, Alberta, Canada). Consensus was defined as a standard deviation of ≤ 1.0.
Seventy-five statements were rated by 27 experts who attended and 10 who did not: 2634 ratings in total. There was no difference in the number of statements reaching consensus in the attending group (26/75) versus that of the nonattending group (27/75) ( = 0.89). However, which statements reached consensus differed between the groups.
The Delphi method is a viable method to document consensus from a conference. Advantages include the ability to involve large groups of experts, statistical measurement of the degree of consensus, and prioritization of the results.
尽管许多医学从业者重视面对面会议的互动性质,但这些互动的结果往往记录不佳。本研究的目的是试用 Delphi 方法在全国会议后达成共识,并比较参加和不参加会议的专家的结果。
这是一个包含 3 轮的 Delphi 研究,参与者包括参加 2023 年灾难医学与健康准备学会年会的专家,以及学会成员但未参加会议的专家。会议演讲者提供了与演讲相关的陈述。专家使用 STAT59 软件(加拿大阿尔伯塔省埃德蒙顿的 STAT59 服务有限公司)对陈述进行 1-7 分的同意程度评分。共识定义为标准差≤1.0。
75 项陈述由 27 名参加会议的专家和 10 名未参加会议的专家进行了评分:总共有 2634 项评分。参加组(26/75)和未参加组(27/75)达到共识的陈述数量没有差异(=0.89)。然而,两组达到共识的陈述有所不同。
Delphi 方法是记录会议共识的可行方法。其优点包括能够让大量专家参与、对共识程度进行统计测量以及对结果进行优先级排序。