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Interpretation of the Expected Value of Perfect Information and Research Recommendations: A Systematic Review and Empirical Investigation

机译:完善信息和研究建议的期望值的解释:系统评价和实证研究

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Background. Expected value of perfect information (EVPI) calculations are increasingly performed to guide and underpin research recommendations. An EVPI value that exceeds the estimated cost of research forms a necessary (although not sufficient) condition for further research to be considered worthwhile. However, it is unclear what factors affect researchers' recommendations and whether there is a notional threshold of positive returns below which research is not recommended. The objectives of this study were to explore whether EVPI and other factors have a bearing on research recommendations and to assess whether there exists a threshold EVPI below which research is typically not recommended. Methods. A systematic literature review was undertaken to identify applied EVPI calculations in the health care field. Study characteristics were extracted, including funder, location, disease group, publication year, primary language, and outcome measure. Population EVPI values and willingness-to-pay thresholds were also extracted alongside verbatim text excerpts describing the authors' research recommendations. Recommendations were classified according to whether further research was recommended (a positive recommendation) or not (negative). Factors affecting the likelihood of a positive recommendation were examined statistically using logistic regression and visually by plotting the results in graphs. Results and Conclusions. Eighty-six articles were included, of which 13 suggested no further research, 66 recommended further research, and 7 gave no recommendation. EVPI appears to be a key driver of researchers' recommendations for further research. Disease area, funder, study location, publication year, and outcome may have a bearing on recommendations, although none of these factors reached statistical significance. A threshold EVPI value below which research is typically not recommended was found at around 1.48 pound million.
机译:背景。完美信息(EVPI)计算的期望值越来越多地用于指导和支持研究建议。 EVPI值超过估计的研究成本构成了进一步研究被认为值得的必要(尽管不足)的条件。但是,尚不清楚哪些因素会影响研究人员的建议,以及是否存在正收益率的理论阈值,低于该阈值则不建议进行研究。这项研究的目的是探讨EVPI和其他因素是否与研究建议有关,并评估是否存在EVPI阈值,通常不建议在该阈值以下进行研究。方法。进行了系统的文献综述,以确定在医疗保健领域中应用的EVPI计算。提取研究特征,包括资助者,位置,疾病类别,出版年份,主要语言和结果测量。人口EVPI值和支付意愿阈值也与描述作者研究建议的逐字记录摘要一起提取。根据是否推荐进一步研究(正面推荐)或不推荐(负面)对推荐进行分类。使用logistic回归对影响肯定推荐的可能性的因素进行统计学检验,并通过将结果绘制在图表中进行直观观察。结果和结论。其中包括86篇文章,其中13篇不建议进一步研究,66篇建议进一步研究,7篇不推荐。 EVPI似乎是研究人员提出的进一步研究建议的主要驱动力。尽管这些因素均未达到统计学意义,但疾病领域,资助者,研究地点,发表年份和结果可能与推荐意见有关。 EVPI阈值约为1.48亿英镑,通常不建议进行研究。

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