Increasing value and reducing waste: addressing inaccessible research.
Increasing value and reducing waste: addressing inaccessible research.
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DOI：
10.1016/s0140-6736(13)62296-5
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发表时间：
2014-01-18
期刊：
影响因子：
--
通讯作者：
van der Worp HB
中科院分区：
文献类型：
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作者：
Chan AW;Song F;Vickers A;Jefferson T;Dickersin K;Gøtzsche PC;Krumholz HM;Ghersi D;van der Worp HB
研究方案、出版物、详细说明所有分析的完整研究报告和参与者水平的数据集构成了健康研究方法和结果的主要文件。然而，只有一半的研究可获得期刊出版物，并且受到方法和结果选择性报告的困扰。方案、完整的研究报告和参与者水平的数据集很少可用。研究方案和报告中提供的信息质量参差不齐，而且往往不完整。无法获得绝大多数研究的全部信息会浪费数十亿美元，引入偏见，并对患者护理和研究产生不利影响。为了在系统一级帮助改善这种情况，有必要采取三项主要行动。首先，学术机构和资助者应该奖励那些充分传播其研究方案、报告和参与者数据集的研究人员。其次，应严格制定方案内容、完整研究报告和数据共享做法的标准，并将其用于所有类型的健康研究。最后，期刊、资助者、赞助商、研究伦理委员会、监管机构和立法者应实施和执行支持研究注册和期刊出版物、完整研究报告和参与者级数据集可用性的政策。
The study protocol, publications, full study report detailing all analyses, and participant-level dataset constitute the main documentation of methods and results for health research. However, journal publications are available for only half of all studies and are plagued by selective reporting of methods and results. The protocol, full study report, and participant-level dataset are rarely available. The quality of information provided in study protocols and reports is variable and often incomplete. Inaccessibility of full information for the vast majority of studies wastes billions of dollars, introduces bias, and has a detrimental impact on patient care and research. To help improve this situation at a systemic level, three main actions are warranted. Firstly, it is important that academic institutions and funders reward investigators who fully disseminate their research protocols, reports, and participant-level datasets. Secondly, standards for the content of protocols, full study reports, and data sharing practices should be rigorously developed and adopted for all types of health research. Finally, journals, funders, sponsors, research ethics committees, regulators, and legislators should implement and enforce policies supporting study registration and availability of journal publications, full study reports, and participant-level datasets.