Evidence map›Paper›PMID 36684395›Full record

ArticleEClinicalMedicine2023

Patient-reported usability and satisfaction with electronic medication event reminder and monitor device for tuberculosis: a multicentre, randomised controlled trial.

Tsegahun Manyazewal, Yimtubezinash Woldeamanuel, Tewodros Getinet, Alison Hoover, Kidist Bobosha, Oumer Fuad, Belete Getahun, Abebaw Fekadu, David P Holland, Vincent C Marconi

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04216420 (Electronic Pillbox-enabled Self-administered Therapy Versus Standard Directly Observed Therapy for Tuberculosis Medication Adherence and Treatment Outcomes in Ethiopia), which is not on this map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
5.1field-weighted citation impact, top 4% 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.

NCT04216420 nacompletednot on this map

Electronic Pillbox-enabled Self-administered Therapy Versus Standard Directly Observed Therapy for Tuberculosis Medication Adherence and Treatment Outcomes in Ethiopia: a Multicenter Randomized Controlled Trial

TypeinterventionalSponsorAddis Ababa UniversityRan2020 to 2021Enrolled114ConditionsTuberculosisArmsMERM-observed self-administered therapy
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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  11. PET/CT guided tuberculosis treatment shortening: a randomized trial.medRxiv : the preprint server for health sciences · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 2 countries.

Tsegahun ManyazewalAddis Ababa University, College of Health Sciences, Center for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), Addis Ababa, Ethiopia.
Yimtubezinash WoldeamanuelAddis Ababa University, College of Health Sciences, Center for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), Addis Ababa, Ethiopia.
Tewodros GetinetSt. Paul's Hospital Millennium Medical College, School of Public Health, Addis Ababa, Ethiopia.
Alison HooverEmory University School of Medicine, Division of Infectious Diseases, Global Health Programs, Atlanta, 30322, Georgia, USA.
Kidist BoboshaArmauer Hansen Research Institute (AHRI), Addis Ababa, Ethiopia.
Oumer FuadAddis Ababa University, College of Health Sciences, Center for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), Addis Ababa, Ethiopia.
Belete GetahunFederal Ministry of Health, Addis Ababa, Ethiopia.
Abebaw FekaduAddis Ababa University, College of Health Sciences, Center for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), Addis Ababa, Ethiopia.
David P HollandEmory University School of Medicine and Rollins School of Public Health, Atlanta, 30322, Georgia, USA.
Vincent C MarconiEmory University School of Medicine and Rollins School of Public Health, Atlanta, 30322, Georgia, USA.
Addis Ababa University · ETEmory University · USArmauer Hansen Research Institute · ETFederal Ministry of Health · ETSt. Paul's Hospital Millennium Medical College · ET

Funding

Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Ann M Chahroudi, Colleen F Kelley · 2002 to 2026
$74.0M
Emory/Georgia TB Research Advancement Center (TRAC)P30AI168386 · NIAID · EMORY UNIVERSITY · PI Jeffrey M Collins · 2022 to 2026
$5.8M
Ethiopia-Emory TB Research Training ProgramD43TW009127 · FIC · EMORY UNIVERSITY · PI HENRY M BLUMBERG, Kidist Bobosha · 2013 to 2026
$3.4M
FIC NIH HHS D43 TW009127Medical Research Council MR/M025470/1NIAID NIH HHS P30 AI050409NIAID NIH HHS P30 AI168386
6 · The paper itself

Abstract

Background: The success of a tuberculosis digital adherence technology relies on patients' satisfaction with and the usability of the technology. This study aimed to evaluate treatment satisfaction and usability of a digital medication event reminder and monitor (MERM) device for patients with tuberculosis to address the prespecified secondary endpoint of the SELFTB trial. Methods: In this multicenter, randomised controlled trial, adults (≥18 years) with new or previously treated, bacteriologically-confirmed, drug-sensitive pulmonary tuberculosis who were eligible to start anti-tuberculosis therapy were recruited from 10 healthcare facilities in Ethiopia. With a computer-generated random number sequence, participants were randomly assigned 1:1 to receive a 15-day tuberculosis medication supply dispensed with an evriMED500® MERM device to self-administer and return every 15 days or the standard in-person DOT. Both arms were followed throughout the standard two-month intensive treatment phase. Treatment was based on the WHO-recommended two-month fixed-dose-combination of first-line anti-tuberculosis drug delivered as a single daily dose (2RHZE). Treatment Satisfaction Questionnaire for Medication version 4 (TSQM 1.4©) was used to measure and compare treatment satisfaction between arms. Adapted System Usability Scale (SUS) was used to assess the usability of the device, with emphasis on ease of use, challenges, benefits, motivation, popularity, and recommendation. The findings were correlated with adherence and clinical endpoints including sputum smear conversion and IsoScreen urine isoniazid test results. This trial is registered with ClinicalTrials.gov, NCT04216420. Findings: Between June 2, 2020, and June 15, 2021, 337 patients were screened for eligibility, of whom 109 participants enrolled and completed the satisfaction [control (n = 57) and intervention (n = 52) arms] and usability [intervention arm (n = 52)] questionnaires. TSQM 1.4© geometric mean scores were: Effectiveness 73.25 [geometric standard deviation (GSD) 1.28], Side Effects 100, Convenience 63.31 (GSD 1.45), and Global Satisfaction 77.29 (GSD 1.25). TSQM score was significantly higher in the intervention vs the control: Effectiveness [85.78 vs 63.43, 95% CI 1.35 (1.26-1.45), Interpretation: Our findings suggested that treatment satisfaction scores were superior in the intervention vs control arms and across the domains of Effectiveness, Convenience, and Global Satisfaction. There was excellent usability of the MERM device and a significantly higher number of users likely to promote the device. High tuberculosis burden countries may transform patient-centered care through ongoing evaluation and scale-up of digital health innovations. Funding: U.S. National Institute of Health (NIH) Fogarty International Center and National Institute of Allergy and Infectious Diseases (D43 TW009127) and the Emory Center for AIDS Research (P30 AI050409).

Indexed as

Digital adherence technologyEthiopiaMedication events reminder and monitorPatient-centered careSatisfactionTuberculosisUsability

Identifiers

PMID36684395
PMCPMC9853306
OpenAlexW4316669215

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.