Murray Matthew, Cattamanchi Adithya, Denkinger Claudia, Van't Hoog Anja, Pai Madhukar, Dowdy David
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Division of Pulmonary and Critical Care Medicine, Department of Medicine, San Francisco General Hospital, University of California, San Francisco, California, USA.
BMJ Glob Health. 2016 Sep 28;1(2):e000064. doi: 10.1136/bmjgh-2016-000064. eCollection 2016.
Systematic screening is often proposed as a way to improve case finding for tuberculosis (TB), but the cost-effectiveness of specific strategies for systematic screening remains poorly studied.
We constructed a Markov-based decision analytic model to analyse the cost-effectiveness of triage testing for TB in Uganda, compared against passive case detection with Xpert MTB/RIF. We assumed a triage algorithm whereby all adults presenting to healthcare centres would be screened for cough, and those with cough of at least 2 weeks would receive the triage test, with positive triage results confirmed by Xpert MTB/RIF. We adopted the perspective of the TB control sector, using a primary outcome of the cost per year of life gained (YLG) over a lifetime time horizon.
Systematic screening in a population with a 5% underlying prevalence of TB was estimated to cost US$610 per YLG (95% uncertainty range US$200-US$1859) with chest X-ray (CXR) (US$5 per test, specificity 0.67), or US$588 (US$221-US$1746) with C reactive protein (CRP) (US$3 per test, specificity 0.59). In addition to the cost and specificity of the triage test, cost-effectiveness was most sensitive to the underlying prevalence of TB, monthly risk of mortality in people with untreated TB and the proportion of patients with TB who would be treated in the absence of systematic screening.
To optimise the cost-effectiveness of facility-based systematic screening of TB with a triage test, it must be carried out in a high-risk population, or use triage tests that are cheaper or more specific than CXR or CRP.
系统筛查常被视为改善结核病病例发现的一种方式,但针对系统筛查的具体策略的成本效益仍研究不足。
我们构建了一个基于马尔可夫的决策分析模型,以分析乌干达结核病分流检测的成本效益,并与使用Xpert MTB/RIF进行被动病例检测相比较。我们假设了一种分流算法,即所有前往医疗中心的成年人都将接受咳嗽筛查,咳嗽至少2周的人将接受分流检测,分流检测结果为阳性则通过Xpert MTB/RIF进行确认。我们采用结核病控制部门的视角,以终身时间范围内每获得一年生命的成本(YLG)作为主要结果。
在结核病潜在患病率为5%的人群中,采用胸部X线检查(CXR)(每次检查5美元,特异性0.67)进行系统筛查,估计每获得一年生命的成本为610美元(95%不确定范围为200美元至1859美元),采用C反应蛋白(CRP)(每次检查3美元,特异性0.59)进行系统筛查,每获得一年生命的成本为588美元(221美元至1746美元)。除了分流检测的成本和特异性外,成本效益对结核病的潜在患病率、未治疗结核病患者的每月死亡风险以及在没有系统筛查的情况下将接受治疗的结核病患者比例最为敏感。
为了优化基于机构的结核病系统筛查和分流检测的成本效益,必须在高危人群中进行,或者使用比CXR或CRP更便宜或更具特异性的分流检测。