Draborg Eva, Andersen Christian Kronborg
University of Southern Denmark, Odense C, Denmark.
Int J Technol Assess Health Care. 2006 Spring;22(2):155-60. doi: 10.1017/S0266462306050963.
The objective of this study is to analyze statistically the possible determinants and implications of including or not including recommendations in health technology assessments (HTAs).
A sample of 433 HTAs published by eleven leading institutions or agencies in nine countries was reviewed and analyzed statistically by multiple logistic regression.
The extent of policy and research recommendations in HTAs varies greatly from country to country. The content and scope of HTAs have some impact on recommendations. Extensive assessment of economic and organizational aspects increases the likelihood of including policy recommendations. Extensive assessment of technological and patient aspects increases the likelihood of including research recommendations, whereas extensive focus on economic aspects is negatively related to research recommendations. The most striking result is that the use of external partners for assessment increases the likelihood of including research recommendations in HTAs but not policy recommendations.
HTA commissioners, agencies, institutions, and funding authorities need to be aware of the consequences of the choices they make in advance of assessing health technologies. Outsourcing HTA to external partners suggests a greater likelihood of being told that "more research is needed." The scope and content of HTAs has an impact on the type of recommendations, and country-specific preferences are strong predictors of recommendations in HTAs.
本研究的目的是对卫生技术评估(HTA)中纳入或不纳入建议的可能决定因素及影响进行统计分析。
对九个国家的十一个主要机构或部门发表的433份HTA样本进行回顾,并通过多元逻辑回归进行统计分析。
HTA中政策和研究建议的程度在不同国家之间差异很大。HTA的内容和范围对建议有一定影响。对经济和组织方面进行广泛评估会增加纳入政策建议的可能性。对技术和患者方面进行广泛评估会增加纳入研究建议的可能性,而对经济方面的广泛关注与研究建议呈负相关。最显著的结果是,利用外部合作伙伴进行评估会增加在HTA中纳入研究建议的可能性,但不会增加纳入政策建议的可能性。
HTA委托方、机构、部门和资助机构需要在评估卫生技术之前就意识到他们所做选择的后果。将HTA外包给外部合作伙伴意味着更有可能被告知“需要更多研究”。HTA的范围和内容对建议的类型有影响,特定国家的偏好是HTA中建议的有力预测因素。