Cited by 27Tuberculosis Research and EpidemiologyMobile Health and mHealth ApplicationsMedication Adherence and Compliance

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Effectiveness of digital adherence technologies in improving tuberculosis treatment outcomes in four countries: a pragmatic cluster randomised trial protocol

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Abstract

INTRODUCTION: Successful treatment of tuberculosis depends to a large extent on good adherence to treatment regimens, which relies on directly observed treatment (DOT). This in turn requires frequent visits to health facilities. High costs to patients, stigma and burden to the health system challenged the DOT approach. Digital adherence technologies (DATs) have emerged as possibly more feasible alternatives to DOT but there is conflicting evidence on their effectiveness and feasibility. Our primary objective is to evaluate whether the implementation of DATs with daily monitoring and a differentiated response to patient adherence would reduce poor treatment outcomes compared with the standard of care (SOC). Our secondary objectives include: to evaluate the proportion of patients lost to follow-up; to compare effectiveness by DAT type; to evaluate the feasibility and acceptability of DATs; to describe factors affecting the longitudinal engagement of patients with the intervention and to use a simple model to estimate the epidemiological impact and cost-effectiveness of the intervention from a health system perspective. METHODS AND ANALYSIS: This is a pragmatic two-arm cluster-randomised trial in the Philippines, South Africa, Tanzania and Ukraine, with health facilities as the unit of randomisation. Facilities will first be randomised to either the DAT or SOC arm, and then the DAT arm will be further randomised into medication sleeve/labels or smart pill box in a 1:1:2 ratio for the smart pill box, medication sleeve/label or the SOC respectively. We will use data from the digital adherence platform and routine health facility records for analysis. In the main analysis, we will employ an intention-to-treat approach to evaluate treatment outcomes. ETHICS AND DISSEMINATION: The study has been approved by the WHO Research Ethics Review Committee (0003296), and by country-specific committees. The results will be shared at national and international meetings and will be published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: ISRCTN17706019.

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Crossref · 10.1136/bmjopen-2022-068685

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Figure 1 Overview of the study design.
Figure 1 Overview of the study design.CC BY-NC · PubMed Central

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Cites

Research works printed but not linked: 14

  1. 10.1016/S0140-6736(95)91090-5 · DOI
  2. Getahun, 2017, Is directly observed tuberculosis treatment strategy patient-centered? a mixed method study in Addis ababa, Ethiopia, PLoS One, 12, 10.1371/journal.pone.0181205 · DOI
  3. Karumbi, 2015, Directly observed therapy for treating tuberculosis, Cochrane Database Syst Rev, 2015
  4. Bediang, 2018, SMS reminders to improve adherence and cure of tuberculosis patients in cameroon (TB-SMS cameroon): a randomised controlled trial, BMC Public Health, 18, 10.1186/s12889-018-5502-x · DOI
  5. Fang, 2017, Effect of short message service on management of pulmonary tuberculosis patients in anhui Province, China: a prospective, randomized, controlled study, Med Sci Monit, 23, 2465, 10.12659/MSM.904957 · DOI
  6. Gashu, 2021, Effect of a phone reminder system on patient-centered tuberculosis treatment adherence among adults in Northwest Ethiopia: a randomised controlled trial, BMJ Health Care Inform, 28, 10.1136/bmjhci-2020-100268 · DOI
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  10. Liu, 2017, Usability of a medication event reminder monitor system (MERM) by providers and patients to improve adherence in the management of tuberculosis, Int J Environ Res Public Health, 14, 10, 10.3390/ijerph14101115 · DOI
  11. Subbaraman, 2018, Digital adherence technologies for the management of tuberculosis therapy: mapping the landscape and research priorities, BMJ Glob Health, 3, 10.1136/bmjgh-2018-001018 · DOI
  12. Thomas, 2020, Explaining differences in the acceptability of 99DOTS, a cell phone-based strategy for monitoring adherence to tuberculosis medications: qualitative study of patients and health care providers, JMIR Mhealth Uhealth, 8, 10.2196/16634 · DOI
  13. Ridho, 2022, Digital health technologies to improve medication adherence and treatment outcomes in patients with tuberculosis: systematic review of randomized controlled trials, J Med Internet Res, 24, 10.2196/33062 · DOI
  14. Tadesse, 2021, Evaluation of implementation and effectiveness of digital adherence technology with differentiated care to support tuberculosis treatment adherence and improve treatment outcomes in Ethiopia: a study protocol for a cluster randomised trial, BMC Infect Dis, 21, 10.1186/s12879-021-06833-x · DOI

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Metadata

Authors
Jerene, D., Levy, J., van Kalmthout, K., Rest, J. V., McQuaid, C. F., Quaife, M., Charalambous, S., Gamazina, K., Garfin, A. M. C., Mleoh, L., Terleieva, Y., Bogdanov, A., Maraba, N., & Fielding, K.
Affiliations
  • KNCV TB Plus (NL)
  • Division of Tuberculosis Elimination and Health Systems Strengthening, KNCV Tuberculosis Foundation, The Hague, Netherlands
  • London School of Hygiene & Tropical Medicine (GB)
  • Aurum Institute (ZA)
  • Program for Appropriate Technology in Health (IN)
  • Department of Health (PH)
  • Government of Tanzania (TZ)
  • Department of Coordination of TB Treatment Programs, Kyiv, Ukraine
Corresponding author
Jerene, Degu
Venue
BMJ Open
Publisher
BMJ
Published
2023-03
Volume
13
Issue
3
Pages
e068685
ISSN
2044-6055 (ISSN-L)
OpenAlex
W4324311101
Cited by
27
References
3
Citations by year
2026: 4 · 2025: 12 · 2024: 9 · 2023: 2
FWCI
5.59
Type
journal article
Language
en
Open access
Locations
  • BMJ Open (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion, other-oa)
  • HighWire Press Open Archive (acceptedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Unitaid (2019-33-ASCENT)
Topics
  • Health Sciences › Medicine › Infectious Diseases › Tuberculosis Research and Epidemiology
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
Keywords
tuberculosis, medication adherence, digital adherence technologies, directly observed therapy, smart pillbox, treatment outcomes, loss to follow-up, patient engagement, cost-effectiveness, health system perspective, feasibility and acceptability
MeSH terms
Humans, Patient Compliance, South Africa, Tanzania, Tuberculosis, Treatment Outcome, Pragmatic Clinical Trials as Topic

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