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资源分配

Resource allocation.

作者信息

McConnell Paul, Einav Sharon

机构信息

Department of Anaesthesia and Critical Care, Royal Alexandra Hospital, Paisley, UK.

Surgical ICU, Shaare Zedek Medical Centre and Hebrew University Faculty of Medicine, Jerusalem, Israel.

出版信息

Curr Opin Anaesthesiol. 2023 Apr 1;36(2):246-251. doi: 10.1097/ACO.0000000000001254.

Abstract

PURPOSE OF REVIEW

The coronavirus disease 2019 pandemic and recent global recessions have brought to the forefront of the medical-political discussion the fact that medical resources are finite and have focused a spotlight on fair allocation and prioritization of healthcare resources describe why this review is timely and relevant.

RECENT FINDINGS

This review presents past and present concepts related to the ethics of resource allocation. Included are discussions regarding the topics of who should determine resource allocation, what types of research require allocation, methods currently in use to determine what resources are appropriate and which should be prioritized.describe the main themes in the literature covered by the article.

SUMMARY

Models for resource allocation must differentiate between different types of resources, some of which may require early preparation or distribution. Local availability of specific resources, supplies and infrastructure must be taken into consideration during preparation. When planning for long durations of limited resource availability, the limitations of human resilience must also be considered. Preparation also requires information regarding the needs of the specific population at hand (e.g. age distributions, disease prevalence) and societal preferences must be acknowledged within possible limits.

摘要

综述目的

2019年冠状病毒病大流行和近期的全球经济衰退使医疗资源有限这一事实成为医学政治讨论的焦点,并将聚光灯投向了医疗资源的公平分配和优先排序。阐述本次综述为何及时且具有相关性。

最新发现

本综述介绍了过去和现在与资源分配伦理相关的概念。其中包括关于谁应决定资源分配、哪些类型的研究需要分配资源、目前用于确定哪些资源合适以及哪些应优先考虑等主题的讨论。描述文章所涵盖文献中的主要主题。

总结

资源分配模型必须区分不同类型的资源,其中一些可能需要提前准备或分配。在准备过程中,必须考虑特定资源、物资和基础设施的本地可用性。在规划资源长期有限的情况时,还必须考虑人类恢复力的局限性。准备工作还需要有关手头特定人群需求的信息(例如年龄分布、疾病患病率),并且必须在可能的范围内承认社会偏好。

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