Computer Science and Engineering Department, Universidad Carlos III de Madrid, Leganés, Madrid, Spain.
Universidad Francisco de Vitoria, Madrid, Spain.
Front Public Health. 2023 Jan 20;10:1085987. doi: 10.3389/fpubh.2022.1085987. eCollection 2022.
In the post-pandemic era, many habits in different areas of our lives have changed. The exponential growth in the use of technology to perform work activities is one of them. At the same time, there has been a marked increase in burnout syndrome. Is this a coincidence? Could they be two interconnected developments? What if they were? Can we use technology to mitigate this syndrome? This article presents the agile Delphi methodology (MAD), an evolved version of the Delphi method, adapted to the needs of modern-day society.
To drive Occupational Health and Safety (OHS) experts to reach a consensus on what technological and non-technological factors could be causing the burnout syndrome experienced by workers in the post-pandemic era, MAD has been used in a specific case study. This study formally presents MAD and describes the stages enacted to run Delphi experiments agilely.
MAD is more efficient than the traditional Delphi methodology, reducing the time taken to reach a consensus and increasing the quality of the resulting products.
OHS experts identified factors that affect and cause an increase in burnout syndrome as well as mechanisms to mitigate their effects. The next step is to evaluate whether, as the experts predict, burnout syndrome decreases with the mechanisms identified in this case study.
在后疫情时代，我们生活的许多领域的习惯都发生了变化。其中之一是使用技术来完成工作活动的指数级增长。与此同时， burnout 综合征的发病率显著上升。这是巧合吗？它们是否可能是两个相互关联的发展？如果是这样的话，我们能否利用技术来缓解这种综合征？本文介绍了敏捷德尔菲法（MAD），这是一种经过改进的德尔菲法，适用于现代社会的需求。
为了让职业健康与安全（OHS）专家就可能导致后疫情时代工人 burnout 综合征的技术和非技术因素达成共识，在一项具体案例研究中使用了 MAD。本研究正式提出了 MAD，并描述了敏捷运行德尔菲实验所采取的阶段。
MAD 比传统的德尔菲方法更有效率，减少了达成共识所需的时间，并提高了最终产品的质量。
OHS 专家确定了影响和导致 burnout 综合征增加的因素，以及减轻其影响的机制。下一步是评估正如专家所预测的那样，在本案例研究中确定的机制是否会降低 burnout 综合征的发病率。
