Institute for Global Health, University College London, London, UK.
BMJ Open. 2019 May 28;9(5):e026554. doi: 10.1136/bmjopen-2018-026554.
To progress towards Universal Health Coverage (UHC), countries will need to define a health benefits package of services free at the point of use. Financial risk protection is a core component of UHC and should therefore be considered a key dimension of health benefits packages. Allocative efficiency modelling tools can support national analytical capacity to inform an evidence-based selection of services, but none are currently able to estimate financial risk protection. A review of existing methods used to measure financial risk protection can facilitate their inclusion in modelling tools so that the latter can become more relevant to national decision making in light of UHC.
This protocol proposes to conduct a scoping review of existing methods used to measure financial risk protection and assess their potential to inform the selection of services in a health benefits package. The proposed review will follow the methodological framework developed by Arksey and O'Malley and the subsequent recommendations made by Levac . Several databases will be systematically searched including: (1) PubMed; (2) Scopus; (3) Web of Science and (4) Google Scholar. Grey literature will also be scanned, and the bibliography of all selected studies will be hand searched. Following the selection of studies according to defined inclusion and exclusion criteria, key characteristics will be collected from the studies using a data extraction tool. Key characteristics will include the type of method used, geographical region of focus and application to specific services or packages. The extracted data will then be charted, collated, reported and summarised using descriptive statistics, a thematic analysis and graphical presentations.
The scoping review proposed in this protocol does not require ethical approval. The final results will be disseminated via publication in a peer-reviewed journal, conference presentations and shared with key stakeholders.
为了实现全民健康覆盖（UHC），各国将需要确定免费提供的服务的健康福利包。财务风险保护是 UHC 的核心组成部分，因此应被视为健康福利包的关键维度。分配效率建模工具可以支持国家分析能力，为基于证据的服务选择提供信息，但目前没有工具能够估计财务风险保护。对用于衡量财务风险保护的现有方法进行审查，可以促进将其纳入建模工具，以便根据 UHC 使后者更能为国家决策提供参考。
本方案旨在对用于衡量财务风险保护的现有方法进行范围审查，并评估其在健康福利包中选择服务的潜在用途。拟议的审查将遵循 Arksey 和 O'Malley 制定的方法框架，并遵循随后由 Levac 提出的建议。将系统地搜索多个数据库，包括：（1）PubMed；（2）Scopus；（3）Web of Science 和（4）Google Scholar。还将扫描灰色文献，并对手头所有选定研究的参考书目进行搜索。根据既定的纳入和排除标准选择研究后，将使用数据提取工具从研究中收集关键特征。关键特征将包括使用的方法类型、关注的地理区域以及对特定服务或套餐的应用。然后使用描述性统计、主题分析和图形演示，对提取的数据进行图表、整理、报告和总结。
本方案中提出的范围审查不需要伦理批准。最终结果将通过在同行评议期刊上发表、会议报告和与主要利益相关者分享来传播。
