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首页> 外文期刊>Parasitology >Operational modelling to guide implementation and scale-up of diagnostic tests within the health system: exploring opportunities for parasitic disease diagnostics based on example application for tuberculosis.
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Operational modelling to guide implementation and scale-up of diagnostic tests within the health system: exploring opportunities for parasitic disease diagnostics based on example application for tuberculosis.

机译:运营建模,以指导卫生系统诊断试验的实施和扩大:探讨基于结核病的综合应用寄生疾病诊断的机会。

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Research and innovation in the diagnosis of infectious and parasitic diseases has led to the development of several promising diagnostic tools, for example in malaria there is extensive literature concerning the use of rapid diagnostic tests. This means policymakers in many low and middle income countries need to make difficult decisions about which of the recommended tools and approaches to implement and scale-up. The test characteristics (e.g. sensitivity and specificity) of the tools alone are not a sufficient basis on which to make these decisions as policymakers need to also consider the best combination of tools, whether the new tools should complement or replace existing diagnostics and who should be tested. Diagnostic strategies need dovetailing to different epidemiology and structural resource constraints (e.g. existing diagnostic pathways, human resources and laboratory capacity). We propose operational modelling to assist with these complex decisions. Projections of patient, health system and cost impacts are essential and operational modelling of the relevant elements of the health system could provide these projections and support rational decisions. We demonstrate how the technique of operational modelling applied in the developing world to support decisions on diagnostics for tuberculosis, could in a parallel way, provide useful insights to support implementation of appropriate diagnostic innovations for parasitic diseases.
机译:传染病和寄生虫病的诊断研究和创新导致了几种有前途的诊断工具的发展,例如在疟疾中有很多关于使用快速诊断测试的文献。这意味着在许多低收入和中等收入国家的政策制定者需要做出难以决定的措施,建议和扩大的哪些推荐的工具和方法。单独的工具的测试特性(例如,灵敏度和特异性)不是一个足够的基础,因为决策者需要考虑最佳工具的最佳组合,新工具是否应该补充或更换现有诊断,谁应该是测试。诊断策略需要燕尾,不同的流行病学和结构资源限制(例如,现有的诊断途径,人力资源和实验室能力)。我们提出了运营建模,以协助这些复杂的决策。患者,卫生系统和成本影响的预测是卫生系统相关要素的必要条件和运营建模可以提供这些预测并支持理性决策。我们展示了在发展中国家应用的运营建模技术如何支持结核病诊断的决策,可以是平行的方式,提供有用的见解,以支持对寄生虫疾病的适当诊断创新实施。

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