Vally H, Glass K, Ford L, Hall G, Kirk M D, Shadbolt C, Veitch M G K, Fullerton K E, Musto J, Becker N
School of Psychology and Public Health,La Trobe University,Melbourne,Australia.
National Centre for Epidemiology and Population Health,The Australian National University,Canberra,Australia.
Epidemiol Infect. 2016 Apr;144(5):897-906. doi: 10.1017/S0950268815002435. Epub 2015 Oct 12.
Estimates of the proportion of illness transmitted by food for different enteric pathogens are essential for foodborne burden-of-disease studies. Owing to insufficient scientific data, a formal synthesis of expert opinion, an expert elicitation, is commonly used to produce such estimates. Eleven experts participated in an elicitation to estimate the proportion of illnesses due to food in Australia for nine pathogens over three rounds: first, based on their own knowledge alone; second, after being provided with systematic reviews of the literature and Australian data; and finally, at a workshop where experts reflected on the evidence. Estimates changed significantly across the three rounds (P = 0·002) as measured by analysis of variance. Following the workshop in round 3, estimates showed smoother distributions with significantly less variation for several pathogens. When estimates were combined to provide combined distributions for each pathogen, the width of these combined distributions reflected experts' perceptions of the availability of evidence, with narrower intervals for pathogens for which evidence was judged to be strongest. Our findings show that the choice of expert elicitation process can significantly influence final estimates. Our structured process - and the workshop in particular - produced robust estimates and distributions appropriate for inclusion in burden-of-disease studies.
对于食源性疾病负担研究而言,估算不同肠道病原体通过食物传播的疾病比例至关重要。由于科学数据不足,通常采用专家意见的正式综合方法,即专家征询,来得出此类估算值。11位专家参与了一项征询,分三轮估算澳大利亚九种病原体因食物导致的疾病比例:第一轮,仅基于他们自己的知识;第二轮,在提供了文献系统综述和澳大利亚数据之后;最后一轮,在一个专家们对证据进行思考的研讨会上。通过方差分析测量,三轮估算值有显著变化(P = 0·002)。在第三轮研讨会之后,几种病原体的估算值分布更平滑,变异显著减少。当将估算值合并以提供每种病原体的合并分布时,这些合并分布的宽度反映了专家对证据可得性的认知,证据被判定最强的病原体的区间更窄。我们的研究结果表明,专家征询过程的选择会显著影响最终估算值。我们的结构化过程——尤其是研讨会——得出了适用于纳入疾病负担研究的可靠估算值和分布。