Evidence map›Paper›PMID 31584944›Full record

Trial reportPLoS medicine2019

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

Sara H Browne, Anya Umlauf, Amanda J Tucker, Julie Low, Kathleen Moser, Jonathan Gonzalez Garcia, Charles A Peloquin, Terrence Blaschke, Florin Vaida, Constance A Benson

Registry-linked trialOpen access · goldAbstract readComparative StudyMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in PLoS medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01960257 (A Pilot Clinical Trial Characterizing Use of Ingestion Sensor Enabled Rifamate in Comparison to Directly Observed Therapy for the Treatment of Tuberculosis), which is not on this map. Cited by 43 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 9 pooled it
8.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01960257 phase4completednot on this map

A Pilot Clinical Trial Characterizing Use of Ingestion Sensor Enabled Rifamate in Comparison to Directly Observed Therapy for the Treatment of Tuberculosis

TypeinterventionalSponsorUniversity of California, San DiegoRan2013 to 2017Enrolled92ConditionsTuberculosisArmsDigital Health Feedback System, SOC DOT
3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 9 syntheses or guidelines pooled it, 89 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Guideline
  6. Pooled it
  7. Pooled it
  8. eHealth in TB clinical management.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2022
    Pooled it
  9. Pooled it
  10. Trial
  11. Trial
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 1 country.

Sara H BrowneUniversity of California San Diego, La Jolla, California, United States of America.ORCID 0000-0003-0360-3301
Anya UmlaufUniversity of California San Diego, La Jolla, California, United States of America.
Amanda J TuckerUniversity of California San Diego, La Jolla, California, United States of America.
Julie LowOrange County Health Care Agency, Santa Ana, California, United States of America.ORCID 0000-0003-3361-890X
Kathleen MoserHealth and Human Services Agency, San Diego, California, United States of America.
Jonathan Gonzalez GarciaUniversity of California San Diego, La Jolla, California, United States of America.
Charles A PeloquinUniversity of Florida, Gainesville, Florida, United States of America.ORCID 0000-0001-9002-7052
Terrence BlaschkeStanford University, Stanford, California, United States of America.
Florin VaidaUniversity of California San Diego, La Jolla, California, United States of America.
Constance A BensonUniversity of California San Diego, La Jolla, California, United States of America.
University of California San Diego · USHealth and Human Services Agency · USOrange County Healthcare Agency · USStanford University · USUniversity of Florida · US

Funding

A Novel Wireless Ingestible Sensor System for Measurement of Medication Adherence in HIV Treatment and PreventionR01MH110057 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BENSON, CONSTANCE ANN, BROWNE, SARA H. · 2015 to 2019
$5.9M
NIMH NIH HHS R01 MH110057
6 · The paper itself

Abstract

backgroundExcellent 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

findingsWe 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.

conclusionsIn 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 registrationClinicalTrials.gov NCT01960257.

Indexed as

Medication AdherenceWireless TechnologyAdolescentAdultAgedAged, 80 and overAntitubercular AgentsCaliforniaDirectly Observed TherapyDrug Administration ScheduleDrug MonitoringFemaleHumansIsoniazidMaleMiddle AgedAntitubercular AgentsIsoniazidRifampin

Identifiers

PMID31584944
PMCPMC6777756
OpenAlexW2978351943

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.