报销
利益相关者
利益相关方参与
医疗保健
业务
公司治理
互操作性
审查
公共关系
真实世界的证据
医学
经济
政治学
财务
经济增长
计算机科学
法学
内科学
操作系统
作者
Don Husereau,Edward Nason,Tarun Ahuja,Enkeleida Nikaï,Eva Tsakonas,Philip Jacobs
出处
期刊:International Journal of Technology Assessment in Health Care
[Cambridge University Press]
日期:2019-01-01
卷期号:35 (03): 181-188
被引量:5
标识
DOI:10.1017/s0266462319000291
摘要
Abstract Background Canada has a long history of the use of clinical evidence to support healthcare decision making. Given improvements in data holdings and analytic capacity in Canada and stakeholder interest, the purpose of this study is to reflect on perceptions of the value of real-world evidence in pricing and reimbursement decisions, barriers to its optimal use in pricing and reimbursement, current initiatives that may lead to its increased use, and what role the pharmaceutical industry may play in this. Methods/Results To capture stakeholder perceptions, ninety-one participants identified as key stakeholders were identified according to background roles and geography and invited to participate in four round table discussions conducted under Chatham House rule. Important themes emerging from these discussions included: (i) the need to understand what “real world” evidence means; (ii) barriers to using real world evidence from differences in access, governance, inter-operability, system structures, expertise, and quality across Canadian health systems; (iii) differing views on industry's role. Conclusions The use of real-world data in Canada to inform pricing and reimbursement decisions is far from routine but nascent and slowly increasing. Barriers, including interoperability concerns, may also apply to other federated health systems that need to focus on the networking of healthcare administrative data across provincial jurisdictional boundaries. There also appears to be a desire to see better use of pragmatic trials linked to these administrative data sets. Emerging initiatives are under way to use real world evidence more broadly, and include identification of common data elements and approaches to networking data.
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