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Tobacco industry data on illicit tobacco trade: a systematic review of existing assessments

机译:烟草行业非法烟草贸易数据:对现有评估的系统回顾

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Objective To examine the quality of tobacco industry-funded data on the illicit tobacco trade (ITT) through a systematic review of existing assessments of industry-funded data on ITT.Data sources Papers and reports assessing tobacco industry-funded data on ITT were obtained via searches of 8 academic databases, Google searches and correspondence with ITT experts.Study selection Inclusion criteria identified 35 English-language papers containing an original assessment of tobacco industry-funded data.Data extraction Using a coding framework, information was extracted from the assessments regarding the quality of tobacco industry data. Documents were second-coded, achieving 94% intercoder reliability with all disagreements resolved.Data synthesis Of the 35 assessments reviewed, 31 argued that tobacco industry estimates were higher than independent estimates. Criticisms identified problems with data collection (29), analytical methods (22) and presentation of results (21), which resulted in inflated ITT estimates or data on ITT that were presented in a misleading manner. Lack of transparency from data collection right through to presentation of findings was a key issue with insufficient information to allow replication of the findings frequently cited.Conclusions Tobacco industry data on ITT are not reliable. At present, the tobacco industry continues to fund and disseminate ITT research through initiatives such as PMI IMPACT. If industry data on ITT cannot meet the standards of accuracy and transparency set by highquality research publications, a solution may be to tax tobacco companies and administer the resulting funds to experts, independent of the tobacco industry, who use previously developed reliable models for measuring ITT.
机译:目的通过系统地审查对ITT的行业资助数据的现有评估,检查烟草业资助的关于非法烟草贸易(ITT)数据的质量。数据来源通过以下途径获得了评估烟草行业资助的ITT数据的论文和报告:检索8个学术数据库,谷歌检索并与ITT专家通信。研究选择纳入标准确定了35篇包含烟草业资助数据原始评估的英语论文数据提取使用编码框架从评估中提取有关烟草业数据质量。文件经过第二次编码,编码器可靠性达到94%,所有分歧均得到解决。数据综合在所审查的35项评估中,有31项认为烟草行业的评估高于独立评估。批评指出了数据收集(29),分析方法(22)和结果表示(21)的问题,这些问题导致以错误的方式提出的夸大的ITT估算或ITT数据。一个关键问题是从数据收集一直到结果的呈现都缺乏透明度,这是一个关键问题,信息不足,无法复制经常被引用的结果。结论ITT的烟草行业数据不可靠。目前,烟草业继续通过PMI IMPACT等计划资助和传播ITT研究。如果有关ITT的行业数据不能满足高质量研究出版物设定的准确性和透明度标准,则解决方案可能是对烟草公司征税,并将所得资金管理给独立于烟草业的专家,他们使用以前开发的可靠模型来衡量ITT 。

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