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Comparing different technologies for active TB case-finding among the homeless: a transmission-dynamic modelling study

机译:比较不同无家可归者中活动性结核病病例发现的不同技术:传播 - 动态建模研究

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摘要

Homeless persons have elevated risk of tuberculosis (TB) and are under-served by conventional health services. Approaches to active case-finding (ACF) and treatment tailored to their needs are required. A transmission-dynamic model was developed to assess the effectiveness and efficiency of screening with mobile Chest X-ray, GeneXpert, or both. Effectiveness of ACF depends upon the prevalence of infection in the population (which determines screening ‘yield’), patient willingness to wait for GeneXpert results, and treatment adherence. ACF is efficient when TB prevalence exceeds 78/100,000 and 46% of drug sensitive TB cases and 33% of multi-drug resistant TB cases complete treatment. This threshold increases to 92/100,000 if additional post-ACF enhanced case management (ECM) increases treatment completion to 85%. Generally, the most efficient option is one-step screening of all patients with GeneXpert, but if too many patients (>27% without ECM, >19% with ECM) are unwilling to wait the 90 minutes required then two-step screening using chest X-ray (which is rapid) followed by GeneXpert for confirmation of TB is the most efficient option. Targeted ACF and support services benefit health through early successful treatment and averting TB transmission and disease. The optimal strategy is setting-specific, requiring careful consideration of patients’ needs regarding testing and treatment.
机译:无家可归的人患结核病的风险较高,常规医疗服务所提供的服务不足。需要采取主动案例发现(ACF)和针对其需求量身定制的治疗方法。开发了一种传输动力学模型,以评估使用移动式胸部X射线,GeneXpert或两者进行筛查的有效性和效率。 ACF的有效性取决于人群中的感染率(确定筛查的“产量”),患者等待GeneXpert结果的意愿以及治疗依从性。当结核病患病率超过78 / 100,000,并且46%的药物敏感性结核病患者和33%的多药耐药结核病患者完成治疗时,ACF是有效的。如果附加的ACF后增强病例管理(ECM)将治疗完成率提高到85%,则该阈值将增加到92 / 100,000。通常,最有效的选择是对所有患有GeneXpert的患者进行一步筛查,但是如果太多患者(> 27%的患者未接受ECM,> 19%的患者接受ECM)不愿意等待90分钟,则使用胸部两步筛查X射线(快速),然后用GeneXpert进行TB确诊是最有效的选择。有针对性的ACF和支持服务可通过早期成功的治疗以及避免结核病的传播和疾病而使健康受益。最佳策略是针对特定环境的,需要仔细考虑患者在测试和治疗方面的需求。

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