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Developing appropriate methods for handling missing data in health economic evaluation.

制定适当的方法来处理卫生经济评估中的缺失数据。

基本信息

批准号：
MR/K02177X/1
负责人：
Manuel De Oliveira Gomes
金额：
$ 33.84万
依托单位：
London School of Hygiene & Tropical Medicine
依托单位国家：
英国
项目类别：
Fellowship
财政年份：
2013
资助国家：
英国
起止时间：
2013 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=MR%2FK02177X%2F1
关键词：
Developing appropriate methods handling missing

项目摘要

Policy makers worldwide use health economic evaluation to help decide which health care interventions to provide. An important concern faced by economic evaluation studies is that there may be missing data. However, most published studies ignore this or use inappropriate methods to address the problem. If missing data are not addressed appropriately this can lead to misleading cost-effectiveness results and scarce health care resources being misallocated. Careful analytical methods are required to address missing data across different circumstances in health economic evaluation. I propose to conduct a comprehensive programme of research to address this gap in knowledge, using both simulation work and data from clinical areas of high policy relevance. The research will develop and test alternative methods for addressing missing data and show the impact that better methods can have in the evaluation of health interventions and health care providers. Methods will be thoroughly disseminated to applied researchers and policy makers to improve current practice. By helping improve the quality of cost-effectiveness studies which are used to inform policy making, this research will help ensure that scarce resources are allocated in the best ways for improving the population's health.

世界各地的决策者使用卫生经济评价来帮助决定提供哪些卫生保健干预措施。经济评价研究面临的一个重要问题是可能缺少数据。然而，大多数已发表的研究忽略了这一点，或者使用了不恰当的方法来解决问题。如果缺失的数据得不到适当处理，就可能导致具有误导性的成本效益结果，并导致稀缺的卫生保健资源分配不当。需要仔细的分析方法来处理卫生经济评价中不同情况下的缺失数据。我建议开展一项全面的研究计划，利用模拟工作和来自具有高度政策相关性的临床领域的数据来解决这一知识差距。这项研究将开发和测试处理缺失数据的替代方法，并显示更好的方法在评估卫生干预措施和卫生保健提供者方面可能产生的影响。将向应用研究人员和决策者全面传播方法，以改进目前的做法。通过帮助提高用于决策的成本效益研究的质量，这项研究将有助于确保以改善人口健康的最佳方式分配稀缺资源。