Evaluation and Implementation Science Unit, Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia.
Front Public Health. 2024 Oct 23;12:1426318. doi: 10.3389/fpubh.2024.1426318. eCollection 2024.
Pathogen genomics, where whole genome sequencing technologies are used to produce complete genomic sequences of pathogens, is being increasingly used for infectious disease surveillance and outbreak response. Although proof-of-concept studies have highlighted the viability of using pathogen genomics in public health, few studies have investigated how end-users utilize pathogen genomics in public health. We describe a protocol for a study that aims to identify key factors that influence the use of pathogen genomics to inform public health responses against infectious diseases in Australia and New Zealand.
We will use qualitative comparative analysis (QCA), a case-oriented methodology that systematically compares and analyses multiple cases (or 'units of analysis'), to identify multiple pathways leading to the use of pathogen genomics results in public health actions. As part of the process, we will develop a rubric to identify and define the use of pathogen genomics and individual factors affecting this process. Simultaneously, we will identify cases where pathogen genomics has been used in public health across Australia and New Zealand. Data for these cases will be collected from document review of publicly available and confidential documents and semi-structured interviews with technicians and end-users and summarized in a case report. These case reports will form the basis for scoring each case on the extent of the use of pathogen genomics data and the presence or absence of specific factors such as the ease of extracting essential information from pathogen genomics reports and perceptions toward pathogen genomics. Using the scores, cases will be analyzed using QCA techniques to identify pathways leading to the use of pathogen genomics data. These pathways will be interpreted alongside the cases to provide rich explanations of the use of pathogen genomics in public health.
This study will improve our understanding of the key factors that facilitate or hinder the use of pathogen genomics to inform public health authorities and end-users. These findings may inform ways to enhance the use of pathogen genomics data in public health.
病原体基因组学是指利用全基因组测序技术生成病原体的完整基因组序列,目前正越来越多地被用于传染病监测和疫情应对。虽然概念验证研究已经证明了在公共卫生中使用病原体基因组学的可行性,但很少有研究调查终端用户如何在公共卫生中利用病原体基因组学。我们描述了一项研究方案,旨在确定影响利用病原体基因组学为澳大利亚和新西兰传染病公共卫生应对提供信息的关键因素。
我们将使用定性比较分析(QCA),这是一种面向案例的方法,系统地比较和分析多个案例(或“分析单位”),以确定导致病原体基因组学结果在公共卫生行动中得到利用的多种途径。在此过程中,我们将制定一个准则,以识别和定义病原体基因组学的利用以及影响这一过程的个体因素。同时,我们将确定病原体基因组学在澳大利亚和新西兰公共卫生中的应用案例。这些案例的数据将通过对公开和机密文件的文献回顾以及对技术人员和终端用户的半结构化访谈收集,并在案例报告中总结。这些案例报告将成为对每个案例利用病原体基因组学数据的程度以及特定因素(如从病原体基因组学报告中提取关键信息的难易程度以及对病原体基因组学的看法)的有无进行评分的基础。利用这些评分,将使用 QCA 技术对导致病原体基因组学数据利用的途径进行分析。这些途径将与案例一起进行解释,以提供病原体基因组学在公共卫生中应用的丰富解释。
这项研究将增进我们对促进或阻碍病原体基因组学用于为公共卫生当局和终端用户提供信息的关键因素的理解。这些发现可能为增强病原体基因组学数据在公共卫生中的利用方式提供信息。