Stinnett A A, Paltiel A D
Department of Health Policy and Management, Harvard School of Public Health, Boston, MA, USA.
J Health Econ. 1996 Oct;15(5):641-53. doi: 10.1016/s0167-6296(96)00493-6.
Previous discussions of methods for the efficient allocation of health care resources subject to a budget constraint have relied on unnecessarily restrictive assumptions. This paper makes use of established optimization techniques to demonstrate that a general mathematical programming framework can accommodate much more complex information regarding returns to scale, partial and complete indivisibility and program interdependence. Methods are also presented for incorporating ethical constraints into the resource allocation process, including explicit identification of the cost of equity.
以往关于在预算约束下有效分配医疗保健资源的方法的讨论依赖于不必要的严格假设。本文利用既定的优化技术来证明，一个通用的数学规划框架可以容纳关于规模收益、部分和完全不可分性以及项目相互依存性的更为复杂的信息。还提出了将伦理约束纳入资源分配过程的方法，包括明确确定公平成本。
