METHODS: A total of 167 unit costs were calculated through a context-specific, normative, ingredients-based, and bottom-up economic costing approach. Costs were constructed by determining resource use from descriptions provided by MNHSR&C and validated by technical experts. Price data from publicly available sources were used. Deterministic univariate sensitivity analyses were carried out.
RESULTS: Unit costs ranged from 2019 US$ 0.27 to 2019 US$ 1478. Interventions in the cancer package of services had the highest average cost (2019 US$ 837) while interventions in the environmental package of services had the lowest (2019 US$ 0.68). Cost drivers varied by platform; the two largest drivers were drug regimens and surgery-related costs. Sensitivity analyses suggest our results are not sensitive to changes in staff salary but are sensitive to changes in medicine pricing.
CONCLUSIONS: We estimated a large number of context-specific unit costs, over a six-month period, demonstrating a rapid costing method suitable for EPHS design.
方法:通过特定环境计算了总共167个单位成本,规范性,基于成分,和自下而上的经济成本计算方法。成本是通过根据MNHSR&C提供的描述确定资源使用并由技术专家验证来构建的。使用公开来源的价格数据。进行了确定性单变量敏感性分析。
结果:单位成本从2019年的0.27美元到2019年的1478美元不等。癌症一揽子服务中的干预措施平均成本最高(2019年837美元),而环境一揽子服务中的干预措施最低(2019年0.68美元)。成本驱动因素因平台而异;两个最大的驱动因素是药物治疗和手术相关成本。敏感性分析表明,我们的结果对员工工资的变化不敏感,但对药品价格的变化敏感。
结论:我们估计了大量特定环境的单位成本,在六个月的时间里,展示了一种适用于EPHS设计的快速成本计算方法。