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      Wirelessly observed therapy compared to directly observed therapy to confirm and support tuberculosis treatment adherence: A randomized controlled trial

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          Abstract

          Background

          Excellent adherence to tuberculosis (TB) treatment is critical to cure TB and avoid the emergence of resistance. Wirelessly observed therapy (WOT) is a novel patient self-management system consisting of an edible ingestion sensor (IS), external wearable patch, and paired mobile device that can detect and digitally record medication ingestions. Our study determined the accuracy of ingestion detection in clinical and home settings using WOT and subsequently compared, in a randomized control trial (RCT), confirmed daily adherence to medication in persons using WOT or directly observed therapy (DOT) during TB treatment.

          Methods and findings

          We evaluated WOT in persons with active Mycobacterium tuberculosis complex disease using IS-enabled combination isoniazid 150 mg/rifampin 300 mg (IS-Rifamate). Seventy-seven participants with drug-susceptible TB in the continuation phase of treatment, prescribed daily isoniazid 300 mg and rifampin 600 mg, used IS-Rifamate. The primary endpoints of the trial were determination of the positive detection accuracy (PDA) of WOT, defined as the percentage of ingestions detected by WOT administered under direct observation, and subsequently the proportion of prescribed doses confirmed by WOT compared to DOT. Initially participants received DOT and WOT simultaneously for 2–3 weeks to allow calculation of WOT PDA, and the 95% confidence interval (CI) was estimated using the bootstrap method with 10,000 samples. Sixty-one participants subsequently participated in an RCT to compare the proportion of prescribed doses confirmed by WOT and DOT. Participants were randomized 2:1 to receive WOT or maximal in-person DOT. In the WOT arm, if ingestions were not remotely confirmed, the participant was contacted within 24 hours by text or cell phone to provide support. The number of doses confirmed was collected, and nonparametric methods were used for group and individual comparisons to estimate the proportions of confirmed doses in each randomized arm with 95% CIs. Sensitivity analyses, not prespecified in the trial registration, were also performed, removing all nonworking (weekend and public holiday) and held-dose days. Participants, recruited from San Diego (SD) and Orange County (OC) Divisions of TB Control and Refugee Health, were 43.1 (range 18–80) years old, 57% male, 42% Asian, and 39% white with 49% Hispanic ethnicity. The PDA of WOT was 99.3% (CI 98.1; 100). Intent-to-treat (ITT) analysis within the RCT showed WOT confirmed 93% versus 63% DOT ( p < 0.001) of daily doses prescribed. Secondary analysis removing all nonworking days (weekends and public holidays) and held doses from each arm showed WOT confirmed 95.6% versus 92.7% ( p = 0.31); WOT was non-inferior to DOT (difference 2.8% CI [−1.8%, 9.1%]). One hundred percent of participants preferred using WOT. WOT associated adverse events were <10%, consisting of minor skin rash and pruritus associated with the patch. WOT provided longitudinal digital reporting in near real time, supporting patient self-management and allowing rapid remote identification of those who needed more support to maintain adherence. This study was conducted during the continuation phase of TB treatment, limiting its generalizability to the entire TB treatment course.

          Conclusions

          In terms of accuracy, WOT was equivalent to DOT. WOT was superior to DOT in supporting confirmed daily adherence to TB medications during the continuation phase of TB treatment and was overwhelmingly preferred by participants. WOT should be tested in high-burden TB settings, where it may substantially support low- and middle-income country (LMIC) TB programs.

          Trial registration

          ClinicalTrials.gov NCT01960257.

          Author summary

          Why was this study done?
          • TB is the infectious disease that kills the most people annually and is spread by droplets released into the air from persons with TB in their lungs.

          • Multiple antibiotics taken over many months are necessary to cure this infection, and if doses are missed or full treatment is not completed, infected people can continue spreading the disease, and antibiotic resistance may occur.

          • New methods to confirm that all the correct medication doses are taken and support patients over the long treatment course are crucial to saving lives and combatting disease spread.

          What did the researchers do and find?
          • We tested a new FDA-approved technology that uses a sensor made of minerals that is swallowed with TB medication and subsequently records the ingestion on a cellphone.

          • We tested the sensor system accuracy to identify ingestions and we also randomly assigned persons with TB to receive the new system or the standard of care currently available, directly observed therapy, for supporting and confirming medication taking during TB treatment for periods up to 29 weeks.

          • We found the system was highly accurate and that persons using this system were confirmed as taking 93% of their daily prescribed doses as opposed to 63% using directly observed therapy. In this study, the difference observed was mainly driven by the ability of the system to confirm doses 7 days a week compared to only on working days for directly observed therapy.

          What do these findings mean?
          • These findings indicate that novel sensor-based systems that use cell phones to remotely record digital data are as accurate as actually watching a person swallow their medications and can be used to confirm and support TB treatment 7 days a week, compared to 5 days a week for the current standard of care available. However, this technology still needs to be tested over the full course of TB treatment.

          • WOT should be tested in high-burden TB settings, where it may substantially support LMIC TB programs.

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          Most cited references31

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          Adherence interventions and outcomes of tuberculosis treatment: A systematic review and meta-analysis of trials and observational studies

          Background Incomplete adherence to tuberculosis (TB) treatment increases the risk of delayed culture conversion with continued transmission in the community, as well as treatment failure, relapse, and development or amplification of drug resistance. We conducted a systematic review and meta-analysis of adherence interventions, including directly observed therapy (DOT), to determine which approaches lead to improved TB treatment outcomes. Methods and findings We systematically reviewed Medline as well as the references of published review articles for relevant studies of adherence to multidrug treatment of both drug-susceptible and drug-resistant TB through February 3, 2018. We included randomized controlled trials (RCTs) as well as prospective and retrospective cohort studies (CSs) with an internal or external control group that evaluated any adherence intervention and conducted a meta-analysis of their impact on TB treatment outcomes. Our search identified 7,729 articles, of which 129 met the inclusion criteria for quantitative analysis. Seven adherence categories were identified, including DOT offered by different providers and at various locations, reminders and tracers, incentives and enablers, patient education, digital technologies (short message services [SMSs] via mobile phones and video-observed therapy [VOT]), staff education, and combinations of these interventions. When compared with DOT alone, self-administered therapy (SAT) was associated with lower rates of treatment success (CS: risk ratio [RR] 0.81, 95% CI 0.73–0.89; RCT: RR 0.94, 95% CI 0.89–0.98), adherence (CS: RR 0.83, 95% CI 0.75–0.93), and sputum smear conversion (RCT: RR 0.92, 95% CI 0.87–0.98) as well as higher rates of development of drug resistance (CS: RR 4.19, 95% CI 2.34–7.49). When compared to DOT provided by healthcare providers, DOT provided by family members was associated with a lower rate of adherence (CS: RR 0.86, 95% CI 0.79–0.94). DOT delivery in the community versus at the clinic was associated with a higher rate of treatment success (CS: RR 1.08, 95% CI 1.01–1.15) and sputum conversion at the end of two months (CS: RR 1.05, 95% CI 1.02–1.08) as well as lower rates of treatment failure (CS: RR 0.56, 95% CI 0.33–0.95) and loss to follow-up (CS: RR 0.63, 95% CI 0.40–0.98). Medication monitors improved adherence and treatment success and VOT was comparable with DOT. SMS reminders led to a higher treatment completion rate in one RCT and were associated with higher rates of cure and sputum conversion when used in combination with medication monitors. TB treatment outcomes improved when patient education, healthcare provider education, incentives and enablers, psychological interventions, reminders and tracers, or mobile digital technologies were employed. Our findings are limited by the heterogeneity of the included studies and lack of standardized research methodology on adherence interventions. Conclusion TB treatment outcomes are improved with the use of adherence interventions, such as patient education and counseling, incentives and enablers, psychological interventions, reminders and tracers, and digital health technologies. Trained healthcare providers as well as community delivery provides patient-centered DOT options that both enhance adherence and improve treatment outcomes as compared to unsupervised, SAT alone.
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            A patient-level pooled analysis of treatment-shortening regimens for drug-susceptible pulmonary tuberculosis

            Tuberculosis kills more people than any other infectious disease. Three pivotal trials testing 4-month regimens failed to meet non-inferiority margins; however, approximately four-fifths of participants were cured. Through a pooled analysis of patient-level data with external validation, we identify populations eligible for 4-month treatment, define phenotypes that are hard to treat and evaluate the impact of adherence and dosing strategy on outcomes. In 3,405 participants included in analyses, baseline smear grade of 3+ relative to 6 months to cure all. Regimen duration can be selected in order to improve outcomes, providing a stratified medicine approach as an alternative to the ‘one-size-fits-all’ treatment currently used worldwide.
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              Predictors of relapse among pulmonary tuberculosis patients treated in a DOTS programme in South India.

              To identify risk factors associated with relapse among cured tuberculosis (TB) patients in a DOTS programme in South India. Sputum samples collected from a cohort of TB patients registered between April 2000 and December 2001 were examined by fluorescence microscopy for acid-fast bacilli and by culture for Mycobacterium tuberculosis at 6, 12 and 18 months after treatment completion. Of the 534 cured patients, 503 (94%) were followed up for 18 months after treatment completion. Of these, 62 (12%) relapsed during the 18-month period; 48 (77%) of the 62 relapses occurred during the first 6 months of follow-up. Patients who took treatment irregularly were twice more likely to have a relapse than adherent patients (20% vs. 9%; adjusted odds ratio [aOR] 2.5; 95% CI 1.4-4.6). Other independent predictors of relapse were initial drug resistance to isoniazid and/or rifampicin (aOR 4.8; 95% CI 2.0-11.6) and smoking (aOR 3.1; 95% CI 1.6-6.0). The relapse rate among non-smoking, treatment adherent patients with drug-sensitive organisms was 4.8%. The relapse rate under the DOTS programme may be reduced by ensuring that patients take their treatment regularly and are counselled effectively about quitting smoking.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draft
                Role: Formal analysisRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: SupervisionRole: Writing – review & editing
                Role: SupervisionRole: Writing – review & editing
                Role: Data curationRole: Investigation
                Role: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: Writing – review & editing
                Role: SupervisionRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                4 October 2019
                October 2019
                : 16
                : 10
                : e1002891
                Affiliations
                [1 ] University of California San Diego, La Jolla, California, United States of America
                [2 ] Orange County Health Care Agency, Santa Ana, California, United States of America
                [3 ] Health and Human Services Agency, San Diego, California, United States of America
                [4 ] University of Florida, Gainesville, Florida, United States of America
                [5 ] Stanford University, Stanford, California, United States of America
                University of Cape Town, SOUTH AFRICA
                Author notes

                CAB serves as the Chair of an Independent Study Monitoring Committee for ViiV-GlaxoSmithKline and on a scientific advisory panel for ViiV. CAB also serves as an expert consultant for NDA Partners, Inc. CAB is the Director of the UCSD Anti-viral Research Center (AVRC) and receives grant/contract support from Gilead for the conduct of a clinical trial and grant support on CAB’s behalf from the National Institutes of Health/National Institute of Allergy and Infectious Diseases and the National Institute on Mental Health. TFB serves as a member of the Board of Directors of Durect Corporation (Cupertino, California), as a scientific advisor to the Guthy Jackson Charitable Foundation (Beverly Hills, California), and as an education advisor to UCSF-Stanford Center of Excellence in Regulatory Science and Innovation (CERSI). TFB also serves as an expert consultant for NDA Partners, LLC., Merck, and for the Bill and Melinda Gates Foundation. CAP, through the University of Florida, has research funding from the NIH, GlaxoSmithKline, and LegoChem. Previously, CAP had funding from the Critical Path for TB Drug Development. AJT serves as an expert consultant for RAND bioPartners, Inc. All the above authors state that none of these activities represent any conflicts or competing interests relevant to this research effort. All other authors declare no competing interests.

                ‡ These authors are joint second authors and contributed equally to this work.

                Author information
                http://orcid.org/0000-0003-0360-3301
                http://orcid.org/0000-0003-3361-890X
                http://orcid.org/0000-0001-9002-7052
                Article
                PMEDICINE-D-18-03894
                10.1371/journal.pmed.1002891
                6777756
                31584944
                0e43a5e2-b1a1-4f87-be92-af78f5d4f4ba
                © 2019 Browne et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 13 November 2018
                : 27 August 2019
                Page count
                Figures: 3, Tables: 4, Pages: 19
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100013591, Alliance Healthcare Foundation;
                Award ID: 20130279
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000025, National Institute of Mental Health;
                Award ID: R01-MH-110057
                Award Recipient :
                Funded by: Specialists in Global Health (SIGH)
                Award Recipient :
                An I2 Innovation Initiative Award from the non-profit Alliance Healthcare Foundation (Grant #20130279) to SHB [ https://alliancehealthcarefoundation.org] principally funded this research. SHB and CAB are supported by National Institute of Mental Health ( www.nimh.nih.gov) of the National Institutes of Health under R01 MH110057 awarded to SHB and CAB. JGG also received support from the non-profit Specialists in Global Health (SIGH) [ https://sigh.global] to enable the inclusion of Bi-national participants. KM and JL received no support for participating in this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Proteus Digital Health, Inc. provided the WOT/DHFS technology.
                Categories
                Research Article
                Medicine and Health Sciences
                Infectious Diseases
                Bacterial Diseases
                Tuberculosis
                Medicine and Health Sciences
                Tropical Diseases
                Tuberculosis
                Biology and Life Sciences
                Physiology
                Physiological Processes
                Ingestion
                Medicine and Health Sciences
                Physiology
                Physiological Processes
                Ingestion
                Medicine and Health Sciences
                Pharmaceutics
                Drug Therapy
                Biology and Life Sciences
                Organisms
                Bacteria
                Actinobacteria
                Mycobacterium Tuberculosis
                Medicine and Health Sciences
                Pharmacology
                Drugs
                Isoniazid
                Medicine and Health Sciences
                Public and Occupational Health
                Medicine and Health Sciences
                Health Care
                Patients
                Research and Analysis Methods
                Research Design
                Clinical Research Design
                Adverse Events
                Custom metadata
                The data files are held by UCSD in a data repository. For access, please email the AVRC Regulatory Group: avrcregulatory@ 123456ucsd.edu .

                Medicine
                Medicine

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