Suppr超能文献

数字依从性技术改善中国结核病治疗结局:一项集群随机优势试验。

Digital adherence technologies to improve tuberculosis treatment outcomes in China: a cluster-randomised superiority trial.

机构信息

National Center for TB Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.

Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

出版信息

Lancet Glob Health. 2023 May;11(5):e693-e703. doi: 10.1016/S2214-109X(23)00068-2.

Abstract

BACKGROUND

Drug-sensitive tuberculosis treatment requires 6 months of therapy, so adherence problems are common. Digital adherence technologies might improve tuberculosis treatment outcomes. We aimed to evaluate the effect of a daily reminder medication monitor, monthly review of adherence data by the health-care provider, and differentiated care for patients with adherence issues, on tuberculosis treatment adherence and outcomes.

METHODS

We did a cluster-randomised superiority trial across four prefectures in China. 24 counties or districts (clusters) were randomly assigned (1:1) to intervention or control groups. We enrolled patients aged 18 years or older with GeneXpert-positive, rifampicin-sensitive pulmonary tuberculosis, who were receiving daily fixed-dose combination treatment. Patients in the intervention group received a medication monitor for daily drug-dosing reminders, monthly review of adherence data by health-care provider, and management of poor adherence; and patients in the control group received routine care (silent-mode monitor-measured adherence). Only the independent endpoints review committee who assessed endpoint data for some participants were masked to study group assignment. Patients were followed up (with sputum solid culture) at 12 and 18 months. The primary outcome was a composite of death, loss to follow-up, treatment failure, switch to multidrug-resistant tuberculosis treatment, or tuberculosis recurrence by 18 months from treatment start, analysed in the intention-to-treat population. Analysis accounted for study design with multiple imputation for the primary outcome. This trial is now complete and is registered with ISRCTN, 35812455.

FINDINGS

Between Jan 26, 2017, and April 3, 2019, 15 257 patients were assessed for eligibility and 3074 were enrolled, 2686 (87%) of whom were included in the intention-to-treat population. 1909 (71%) of 2686 patients were male, 777 (29%) were female, and the median age was 44 years (IQR 29-58). By 18 months from treatment start, using multiple imputation for missing outcomes, 239 (16% [geometric mean of cluster-level proportion]) of 1388 patients in the control group and 224 (16%) of 1298 in the intervention group had a primary composite outcome event (289 [62%] of 463 events were loss to follow-up during treatment and 42 [9%] were tuberculosis recurrence). The intervention had no effect on risk of the primary composite outcome (adjusted risk ratio 1·01, 95% CI 0·73-1·40).

INTERPRETATION

Our digital medication monitor intervention had no effect on unfavourable outcomes, which included loss to follow-up during treatment, tuberculosis recurrence, death, and treatment failure. There was a failure to change patient management following identification of treatment non-adherence at monthly reviews. A better understanding of adherence patterns and how they relate to poor outcomes, coupled with a more timely review of adherence data and improved implementation of differentiated care, may be required.

FUNDING

Bill & Melinda Gates Foundation.

摘要

背景

治疗药敏肺结核需要 6 个月的疗程,因此依从性问题很常见。数字依从性技术可能会改善结核病治疗效果。我们旨在评估每日提醒药物监测、医疗保健提供者每月审查依从性数据以及对依从性问题患者进行差异化护理,对肺结核治疗依从性和结果的影响。

方法

我们在中国四个省份进行了一项集群随机优势试验。24 个县或区(集群)被随机分配(1:1)到干预组或对照组。我们招募了年龄在 18 岁或以上、GeneXpert 阳性、利福平敏感的肺结核患者,他们正在接受每日固定剂量联合治疗。干预组的患者接受药物监测器进行每日药物剂量提醒、医疗保健提供者每月审查依从性数据以及对依从性差的管理;对照组的患者接受常规护理(静默模式监测器测量的依从性)。只有评估部分参与者终点数据的独立终点审查委员会对研究组分配情况不知情。患者在治疗开始后 12 个月和 18 个月进行随访(痰固体培养)。主要结局是治疗开始后 18 个月内死亡、失访、治疗失败、转为耐多药结核病治疗或结核病复发的复合结局,在意向治疗人群中进行分析。分析考虑了研究设计,并对主要结局进行了多重插补。该试验现已完成,并在 ISRCTN 注册,编号为 35812455。

结果

从 2017 年 1 月 26 日至 2019 年 4 月 3 日,评估了 15,257 名患者的入选资格,共纳入了 3,074 名患者,其中 2,686 名(87%)被纳入意向治疗人群。2,686 名患者中,1,909 名(71%)为男性,777 名(29%)为女性,中位年龄为 44 岁(IQR 29-58)。在治疗开始后 18 个月,采用缺失结果的多重插补,对照组 1,388 名患者中有 239 名(16%[簇级比例的几何平均值])和干预组 1,298 名患者中有 224 名(16%)发生了主要复合结局事件(289 名[62%]在治疗期间失访,42 名[9%]为结核病复发)。干预对不良结局的风险没有影响(调整风险比 1.01,95%CI 0.73-1.40)。

解释

我们的数字药物监测干预措施对不良结局没有影响,包括治疗期间失访、结核病复发、死亡和治疗失败。每月审查时发现治疗依从性差后,未能改变患者的管理。可能需要更好地了解依从模式以及它们与不良结局的关系,并更及时地审查依从性数据,以及改进差异化护理的实施。

资金来源

比尔和梅琳达·盖茨基金会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee7f/10126227/541b347fadc2/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验