Directly Observed Therapy to Measure Adherence to Tuberculosis Medication in Observational Research: Protocol for a Prospective Cohort Study.
Directly Observed Therapy to Measure Adherence to Tuberculosis Medication in Observational Research: Protocol for a Prospective Cohort Study.
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观察性研究中衡量结核病药物依从性的直接观察疗法：前瞻性队列研究方案。
DOI：
10.2196/24510
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发表时间：
2021-06-16
影响因子：
1.7
通讯作者：
Jacobson KR
中科院分区：
文献类型：
--
作者：
Ragan EJ;Gill CJ;Banos M;Bouton TC;Rooney J;Horsburgh CR;Warren RM;Myers B;Jacobson KR
未来临床结核病(TB)研究的一个主要挑战是准确定义衡量用药依从性的指标。我们的目标是设计一种通过社区工作人员进行的移动卫生来获取直接观察治疗(DOT)的方法。该计划是专门为南非西开普省的一个未来结核病队列衡量结核病用药依从性的。社区工作人员通过移动智能手机收集日常遵守数据。系统地监控参与者级别的遵守情况、计划级别的遵守情况和计划功能，以评估DOT计划的实施情况。数据仪表板允许定期显示指标。许多设计元素旨在防止或限制数据篡改，并确保研究数据的完整性。队列研究正在进行中，数据收集正在进行中。2017年5月16日开始招生，截至2021年1月12日，共录取236人。依从性数据将用于分析研究的主要目标，并将依从性作为主要结果进行调查。DOT计划包括一个用于数据收集的移动健康应用程序，以及一个监测框架和仪表板。这种方法有可能适用于其他环境，以改善临床结核病研究中药物依从性的捕获。ClinicalTrials.gov NCT02840877；https://clinicaltrials.gov/ct2/show/NCT02840877
A major challenge for prospective, clinical tuberculosis (TB) research is accurately defining a metric for measuring medication adherence. We aimed to design a method to capture directly observed therapy (DOT) via mobile health carried out by community workers. The program was created specifically to measure TB medication adherence for a prospective TB cohort in Western Cape Province, South Africa. Community workers collect daily adherence data on mobile smartphones. Participant-level adherence, program-level adherence, and program function are systematically monitored to assess DOT program implementation. A data dashboard allows for regular visualization of indicators. Numerous design elements aim to prevent or limit data falsification and ensure study data integrity. The cohort study is ongoing and data collection is in progress. Enrollment began on May 16, 2017, and as of January 12, 2021, a total of 236 participants were enrolled. Adherence data will be used to analyze the study’s primary aims and to investigate adherence as a primary outcome. The DOT program includes a mobile health application for data collection as well as a monitoring framework and dashboard. This approach has potential to be adapted for other settings to improve the capture of medication adherence in clinical TB research. Clinicaltrials.gov NCT02840877; https://clinicaltrials.gov/ct2/show/NCT02840877
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影响因子：
8.4
作者：
Kidenya, Benson R.;Mshana, Stephen E.;Kasang, Christa
通讯作者：
Kasang, Christa
DOI：
10.3390/ijerph110707406
发表时间：
2014-07-21
影响因子：
--
作者：
Gossage JP;Snell CL;Parry CD;Marais AS;Barnard R;de Vries M;Blankenship J;Seedat S;Hasken JM;May PA
通讯作者：
May PA
影响因子：
3.4
作者：
McLoughlin, Jo-Ann;Little, Francesca;London, Leslie
通讯作者：
London, Leslie
DOI：
10.1093/cid/ciaa333
发表时间：
2020-12-03
期刊：
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
影响因子：
--
作者：
Thomas BE;Kumar JV;Chiranjeevi M;Shah D;Khandewale A;Thiruvengadam K;Haberer JE;Mayer KH;Subbaraman R
通讯作者：
Subbaraman R
影响因子：
3.6
作者：
Shi L;Liu J;Fonseca V;Walker P;Kalsekar A;Pawaskar M
通讯作者：
Pawaskar M