利用经济分析为卫生资源分配提供信息:马拉维的经验教训。

Discover health systems Pub Date : 2024-01-01 Epub Date: 2024-07-15 DOI:10.1007/s44250-024-00115-4
Megha Rao, Dominic Nkhoma, Sakshi Mohan, Pakwanja Twea, Benson Chilima, Joseph Mfutso-Bengo, Jessica Ochalek, Timothy B Hallett, Andrew N Phillips, Finn McGuire, Beth Woods, Simon Walker, Mark Sculpher, Paul Revill
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引用次数: 0

摘要

尽管马拉维在改善卫生成果方面取得了长足进步,但由于财政空间有限和对捐助方的依赖,马拉维面临着能否保持已取得进展的问题。显然,高效的卫生支出势在必行,这就需要将资源战略性地分配到对死亡率和发病率影响最大的领域。一揽子保健福利有望支持有效的资源分配。然而,尽管在过去二十年中确定了这些一揽子计划,但其制定和实施给马拉维带来了重大挑战。为此,马拉维政府与 Thanzi la Onse 计划合作,开发了一套主要基于成本效益分析的工具和框架,以指导设计有可能实现国家卫生目标的一揽子卫生福利。本综述概述了这些工具和框架,并附有其他相关分析,旨在使卫生筹资与卫生福利一揽子计划的优先次序更加一致。本文围绕决策者面临的五个关键政策问题展开:(i) 卫生系统应提供哪些干预措施? (ii) 应如何按地域分配资源? (iii) 应如何优先考虑对卫生系统投入的投资?(iv) 如何将公平因素纳入资源分配决策? (v) 如何优先生成证据,以支持资源分配决策(指导研究)?本文介绍的工具和框架旨在兼容用于非洲各地不同且往往复杂的医疗保健系统,在各国追求全民医保的过程中为医疗资源分配提供支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using economic analysis to inform health resource allocation: lessons from Malawi.

Despite making remarkable strides in improving health outcomes, Malawi faces concerns about sustaining the progress achieved due to limited fiscal space and donor dependency. The imperative for efficient health spending becomes evident, necessitating strategic allocation of resources to areas with the greatest impact on mortality and morbidity. Health benefits packages hold promise in supporting efficient resource allocation. However, despite defining these packages over the last two decades, their development and implementation have posed significant challenges for Malawi. In response, the Malawian government, in collaboration with the Thanzi la Onse Programme, has developed a set of tools and frameworks, primarily based on cost-effectiveness analysis, to guide the design of health benefits packages likely to achieve national health objectives. This review provides an overview of these tools and frameworks, accompanied by other related analyses, aiming to better align health financing with health benefits package prioritization. The paper is organized around five key policy questions facing decision-makers: (i) What interventions should the health system deliver? (ii) How should resources be allocated geographically? (iii) How should investments in health system inputs be prioritized? (iv) How should equity considerations be incorporated into resource allocation decisions? and (v) How should evidence generation be prioritized to support resource allocation decisions (guiding research)? The tools and frameworks presented here are intended to be compatible for use in diverse and often complex healthcare systems across Africa, supporting the health resource allocation process as countries pursue Universal Health Coverage.

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