A reflection on the use of virtual nominal group technique in health policy and research priority consensus studies.

Abstract

Nominal group technique (NGT) is widely used in healthcare research to facilitate decision-making and consensus-building. Traditional NGT requires face-to-face interaction and its limitations include potential biases, logistical challenges and high costs. The COVID-19 pandemic necessitated a shift to virtual methods, which led to the development of virtual nominal group technique (vNGT). Aim To reflect on the use of vNGT, particularly in the context of Ghader et al (2023 ), to understand its effectiveness in overcoming the limitations of traditional NGT and on its applicability in pandemic-affected scenarios. This paper reviews and discusses literature on the use and effectiveness of NGT compared to other consensus-building methods and examines the emergence of vNGT in overcoming the limitations of traditional NGT. The authors also reflect on their use of vNGT in a study to identify cardiovascular research priorities in the UAE and provide details of its implementation. vNGT bridges the gap between the localised nature of traditional NGT and the global reach of the Delphi technique. It allows for the inclusion of diverse participants, saves costs and offers time-efficiency. The study demonstrated vNGT's adaptability, with participants engaging in idea generation, discussion and prioritisation using online tools. However, challenges persist with vNGT, including reduced accessibility for certain demographics, timing issues across time zones and technical difficulties. vNGT successfully integrates the interactive, consensus-building aspects of NGT with the broad reach of Delphi. It can be valuable in research and decision-making, especially in an era of increased remote collaboration. vNGT can significantly impact healthcare research and policy formulation by enabling more inclusive, cost-effective and timely consensus-building processes. However, considerations for accessibility and technical support are crucial for its wider adoption and effectiveness.