Battesini Marcelo, Coelho Hellen Dos Santos, Seta Marismary Horsth De
Universidade Federal de Santa Maria, Santa Maria, Brasil.
Escola Nacional de Saúde Pública Sérgio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.
Cad Saude Publica. 2018 Jul 23;34(7):e00055017. doi: 10.1590/0102-311X00055017.
This article discusses the configuration of specialized healthcare networks and aims to analyze the potential for optimization of geographic access in the chemotherapy network of the Brazilian Unified National Health System (SUS) in Rio Grande do Sul State, Brazil, using linear programming. The study used ex post facto mathematical modeling with an analytical objective and a qualitative-quantitative approach, using data collection and literature and document searches as the procedures. The potential for optimization was assessed by the percentage difference between the total distances traveled under the current situation and the optimum solution obtained. The results with the optimized situation included a decrease of 293,246km (14.4%) in the total monthly distance traveled in the network, or a mean reduction of 13.02km per procedure performed, compared to the current distance traveled. This gain would be obtained by redistribution of the municipalities of origin and the referral services' capacity to supply procedures. The results point to great potential for optimization of the target network, proving that linear programming can provide technical support for the configuration of new specialized thematic healthcare networks and optimization of the existing networks.
本文讨论了专业医疗网络的配置，旨在运用线性规划分析巴西南里奥格兰德州巴西统一国家卫生系统（SUS）化疗网络中地理可达性的优化潜力。该研究采用了具有分析目标的事后数学建模以及定性-定量方法，将数据收集、文献和文件检索作为程序。通过当前情况下的总行程距离与获得的最优解之间的百分比差异来评估优化潜力。与当前行程距离相比，优化后的结果包括网络每月总行程距离减少293,246公里（14.4%），即每次执行程序的平均距离减少13.02公里。这一收益将通过重新分配源市和转诊服务提供程序的能力来实现。结果表明目标网络具有很大的优化潜力，证明线性规划可为新的专业主题医疗网络配置和现有网络优化提供技术支持。
