The Northern Institute, Charles Darwin University, Darwin, Northern Territory, Australia.
Faculty of Science and Technology, Nusa Cendana University, Kupang, Nusa Tenggara Timur, Indonesia.
PLoS One. 2021 Jun 9;16(6):e0251869. doi: 10.1371/journal.pone.0251869. eCollection 2021.
The rate of maternal deaths in remote areas in eastern Indonesia-where geographic conditions are difficult and the standard of infrastructure is poor-is high. Long travel times needed to reach emergency obstetric care (EMOC) is one cause of maternal death. District governments in eastern Indonesia need effective planning to improve access to EMOC. The aim of this study was to develop a scenario modelling tool to be used in planning to improve access to EMOC in eastern Indonesia. The scenario model was developed using the geographic information system tool in NetLogo. This model has two inputs: the location of the EMOC facility (PONED) and the travel cost of moving across geographical features in the rainy and dry seasons. We added a cost-benefit analysis to the model: cost is the budget for building the infrastructure; benefit is the number of people who can travel to the EMOC in less than 1 hour if the planned infrastructure is built. We introduced the tool to representative midwives from all districts of Nusa Tenggara Timur province and to staff of Kupang district planning agency. We found that the tool can model accessibility to EMOC based on weather conditions; compare alternative infrastructure planning scenarios based on cost-benefit analysis; enable users to identify and mark poor infrastructure; and model travel across the ocean. Lay people can easily use the tool through interactive scenario modelling: midwives can use it for evidence to support planning proposals to improve access to EMOC in their district; district planning agencies can use it to choose the best plan to improve access to EMOC. Scenario modelling has potential for use in evidence-based planning to improve access to EMOC in low-income and lower-middle-income countries with poor infrastructure, difficult geography conditions, limited budgets and lack of trained personnel.
印度尼西亚东部偏远地区的孕产妇死亡率很高——那里的地理条件困难,基础设施标准较差。前往紧急产科护理(EMOC)的长途旅行时间是导致孕产妇死亡的原因之一。印度尼西亚东部地区的地方政府需要进行有效的规划,以改善获得 EMOC 的机会。本研究旨在开发一种情景建模工具,用于规划改善印度尼西亚东部获得 EMOC 的机会。该情景模型是使用 NetLogo 中的地理信息系统工具开发的。该模型有两个输入:EMOC 设施(PONED)的位置和在雨季和旱季穿越地理特征的移动成本。我们在模型中添加了成本效益分析:成本是建设基础设施的预算;效益是如果规划的基础设施建成,在 1 小时内可以前往 EMOC 的人数。我们向来自东努沙登加拉省所有地区的助产士代表以及古邦规划机构的工作人员介绍了该工具。我们发现该工具可以根据天气条件模拟 EMOC 的可达性;根据成本效益分析比较替代基础设施规划方案;使用户能够识别和标记基础设施较差的地区;并模拟跨海洋的旅行。非专业人员可以通过交互式情景建模轻松使用该工具:助产士可以使用该工具为改善所在地区获得 EMOC 的机会的规划提案提供证据;地区规划机构可以使用该工具选择改善获得 EMOC 的最佳计划。情景建模有可能用于基于证据的规划,以改善基础设施较差、地理条件困难、预算有限且缺乏训练有素的人员的低收入和中低收入国家获得 EMOC 的机会。