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Target prioritization and strategy selection for active case-finding of pulmonary tuberculosis: a tool to support country-level project planning

机译:积极确定肺结核病例的目标优先次序和战略选择:支持国家一级项目规划的工具

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Background Despite the progress made in the past decade, tuberculosis (TB) control still faces significant challenges. In many countries with declining TB incidence, the disease tends to concentrate in vulnerable populations that often have limited access to health care. In light of the limitations of the current case-finding approach and the global urgency to improve case detection, active case-finding (ACF) has been suggested as an important complementary strategy to accelerate tuberculosis control especially among high-risk populations. The present exercise aims to develop a model that can be used for county-level project planning. Methods A simple deterministic model was developed to calculate the number of estimated TB cases diagnosed and the associated costs of diagnosis. The model was designed to compare cost-effectiveness parameters, such as the cost per case detected, for different diagnostic algorithms when they are applied to different risk populations. The model was transformed into a web-based tool that can support national TB programmes and civil society partners in designing ACF activities. Results According to the model output, tuberculosis active case-finding can be a costly endeavor, depending on the target population and the diagnostic strategy. The analysis suggests the following: (1) Active case-finding activities are cost-effective only if the tuberculosis prevalence among the target population is high. (2) Extensive diagnostic methods (e.g. X-ray screening for the entire group, use of sputum culture or molecular diagnostics) can be applied only to very high-risk groups such as TB contacts, prisoners or people living with human immunodeficiency virus (HIV) infection. (3) Basic diagnostic approaches such as TB symptom screening are always applicable although the diagnostic yield is very limited. The cost-effectiveness parameter was sensitive to local diagnostic costs and the tuberculosis prevalence of target populations. Conclusions The prioritization of appropriate target populations and careful selection of cost-effective diagnostic strategies are critical prerequisites for rational active case-finding activities. A decision to conduct such activities should be based on the setting-specific cost-effectiveness analysis and programmatic assessment. A web-based tool was developed and is available to support national tuberculosis programmes and partners in the formulation of cost-effective active case-finding activities at the national and subnational levels.
机译:背景尽管在过去十年中取得了进展,但结核病(TB)的控制仍面临重大挑战。在许多结核病发病率下降的国家中,该疾病往往集中在往往难以获得医疗服务的脆弱人群中。鉴于当前病例发现方法的局限性以及全球改善病例检测的紧迫性,主动性病例发现(ACF)已被建议作为加速结核病控制的重要补充策略,特别是在高危人群中。本练习旨在开发可用于县级项目规划的模型。方法建立了一个简单的确定性模型,以计算诊断出的估计结核病病例数和相关的诊断费用。该模型旨在比较成本效益参数,例如将不同的诊断算法应用于不同的风险人群时,每个案例的成本。该模型已转换为基于Web的工具,可支持国家结核病规划和民间社会合作伙伴设计ACF活动。结果根据模型输出,根据目标人群和诊断策略,积极开展结核病例调查可能是一项代价高昂的工作。分析表明:(1)只有在目标人群中结核病患病率高的情况下,积极的病例调查活动才具有成本效益。 (2)广泛的诊断方法(例如,对整个人群进行X射线筛查,使用痰培养或进行分子诊断)仅适用于极高风险的人群,例如结核病接触者,囚犯或人类免疫缺陷病毒(HIV)感染者) 感染。 (3)尽管诊断率非常有限,但基本的诊断方法(例如结核病症状筛查)始终适用。成本效益参数对当地诊断成本和目标人群的结核病患病率敏感。结论确定适当的目标人群的优先级并仔细选择具有成本效益的诊断策略是合理积极开展病例调查活动的关键先决条件。进行此类活动的决定应基于针对特定场所的成本效益分析和计划评估。开发了一个基于网络的工具,该工具可用于支持国家结核病规划和合作伙伴在国家和国家以下各级开展具有成本效益的积极病例发现活动。

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