Montreal Chest Institute, Montreal, QC, Canada.
Respiratory Epidemiology and Clinical Research Unit, Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Eur Respir J. 2018 Nov 1;52(5). doi: 10.1183/13993003.01363-2018. Print 2018 Nov.
Ensuring adherence and support during treatment of tuberculosis (TB) is a major public health challenge. Digital health technologies could help improve treatment outcomes. We considered their potential cost and impact on treatment for active or latent TB in Brazil.Decision analysis models simulated two adult cohorts with 1) drug-susceptible active TB, and 2) multidrug-resistant TB, and two cohorts treated with isoniazid for latent TB infection (LTBI): 1) close contacts of persons with active TB, and 2) others newly diagnosed with LTBI. We evaluated four digital support strategies: two different medication monitors, synchronous video-observed therapy (VOT), and two-way short message service (SMS). Comparators were standard directly observed treatment for active TB and self-administered treatment for LTBI. Projected outcomes included costs (2016 US dollars), plus active TB cases and disability-adjusted life years averted among persons with LTBI.For individuals with active TB, medication monitors and VOT are projected to lead to substantial (up to 58%) cost savings, in addition to alleviating inconvenience and cost to patients of supervised treatment visits. For LTBI treatment, SMS and medication monitors are projected to be the most cost-effective interventions. However, all projections are limited by the scarcity of published estimates of clinical effect for the digital technologies.
确保在治疗结核病(TB)期间的依从性和支持是一个主要的公共卫生挑战。数字健康技术可以帮助改善治疗效果。我们考虑了它们在巴西治疗活动性或潜伏性 TB 的潜在成本和影响。决策分析模型模拟了两个成人队列:1)药物敏感的活动性 TB,和 2)耐多药 TB,以及两个队列接受异烟肼治疗潜伏性 TB 感染(LTBI):1)活动性 TB 患者的密切接触者,和 2)其他新诊断的 LTBI。我们评估了四种数字支持策略:两种不同的药物监测器、同步视频观察治疗(VOT)和双向短消息服务(SMS)。比较组为活动性 TB 的标准直接观察治疗和 LTBI 的自我管理治疗。预计结果包括成本(2016 年美元),以及 LTBI 患者中活动性 TB 病例和避免的残疾调整生命年。对于活动性 TB 患者,药物监测器和 VOT 预计将在减轻患者监督治疗就诊的不便和成本的基础上,大幅(高达 58%)节省成本。对于 LTBI 治疗,SMS 和药物监测器预计是最具成本效益的干预措施。然而,所有预测都受到数字技术临床效果的出版估计数据稀缺的限制。