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以成本意识促进癌症护理的广泛可及性:对卢旺达的优化建模分析。

Toward Expanded Access to Cancer Care With Cost Awareness: An Optimization Modeling Analysis of Rwanda.

机构信息

H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA.

Institute for Global Health Equity Research, University of Global Health Equity, Kigali, Rwanda.

出版信息

JCO Glob Oncol. 2024 Sep;10:e2400022. doi: 10.1200/GO.24.00022.

Abstract

PURPOSE

Cancers are a growing cause of mortality especially in low- and middle-income countries in Africa. Rwanda is no exception. Two cancer centers currently provide care to the public, but there are both political and human interest in expanding access to tertiary cancer care. Improved geographic access could lead to both better patient outcomes and a better understanding of the existing cancer burden across Rwanda.

METHODS

To identify cost-aware ways of expanding geographic access, we adopt an optimization approach and identify expansion plans that minimize the average travel time to a cancer center across the country while remaining under a given monetary budget.

RESULTS

Three additional hospitals could reduce average travel times by 40%, with the largest decrease in travel times observed in populations with long travel times. However, such an expansion would require a 50% increase in the number of in-country oncologists. We find that oncologist scarcity, as opposed to monetary constraints, is likely to be a limiting factor for improved access to cancer care.

CONCLUSION

We present an array of expansion plans and suggest that further modeling approaches that incorporate oncologist scarcity can help deliver better policy recommendations.

摘要

目的

癌症是导致死亡的一个日益严重的原因,尤其是在非洲的低收入和中等收入国家。卢旺达也不例外。目前有两个癌症中心为公众提供服务,但人们普遍关注扩大获得三级癌症治疗的机会。改善地理可达性可能会带来更好的患者治疗效果,并更好地了解卢旺达现有的癌症负担。

方法

为了找到一种成本意识的方法来扩大地理可达性,我们采用了一种优化方法,确定了在保持给定货币预算的情况下,能够使全国范围内到癌症中心的平均旅行时间最小化的扩展计划。

结果

增加三家额外的医院可以将平均旅行时间缩短 40%,在旅行时间较长的人群中观察到的旅行时间减少幅度最大。然而,这种扩张将需要增加国内肿瘤学家数量的 50%。我们发现,肿瘤学家的稀缺,而不是资金限制,可能是改善癌症治疗机会的一个限制因素。

结论

我们提出了一系列扩展计划,并建议进一步采用纳入肿瘤学家稀缺性的建模方法,可以帮助提供更好的政策建议。

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