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.


Journal

BMC infectious diseases
ISSN: 1471-2334
Titre abrégé: BMC Infect Dis
Pays: England
ID NLM: 100968551

Informations de publication

Date de publication:
10 Nov 2021
Historique:
received: 11 10 2021
accepted: 29 10 2021
entrez: 11 11 2021
pubmed: 12 11 2021
medline: 16 11 2021
Statut: epublish

Résumé

Digital adherence technologies (DATs) are recommended to support patient-centred, differentiated care to improve tuberculosis (TB) treatment outcomes, but evidence that such technologies improve adherence is limited. We aim to implement and evaluate the effectiveness of smart pillboxes and medication labels linked to an adherence data platform, to create a differentiated care response to patient adherence and improve TB care among adult pulmonary TB participants. Our study is part of the Adherence Support Coalition to End TB (ASCENT) project in Ethiopia. We will conduct a pragmatic three-arm cluster-randomised trial with 78 health facilities in two regions in Ethiopia. Facilities are randomised (1:1:1) to either of the two intervention arms or standard of care. Adults aged ≥ 18 years with drug-sensitive (DS) pulmonary TB are enrolled over 12 months and followed-up for 12 months after treatment initiation. Participants in facilities randomised to either of the two intervention arms are offered a DAT linked to the web-based ASCENT adherence platform for daily adherence monitoring and differentiated response to patient adherence for those who have missed doses. Participants at standard of care facilities receive routine care. For those that had bacteriologically confirmed TB at treatment initiation and can produce sputum without induction, sputum culture will be performed approximately 6 months after the end of treatment to measure disease recurrence. The primary endpoint is a composite unfavourable outcome measured over 12 months from TB treatment initiation defined as either poor end of treatment outcome (lost to follow-up, death, or treatment failure) or treatment recurrence measured 6 months after the scheduled end of treatment. This study will also evaluate the effectiveness, feasibility, and cost-effectiveness of DAT systems for DS-TB patients. This trial will evaluate the impact and contextual factors of medication label and smart pillbox with a differentiated response to patient care, among adult pulmonary DS-TB participants in Ethiopia. If successful, this evaluation will generate valuable evidence via a shared evaluation framework for optimal use and scale-up. Pan African Clinical Trials Registry PACTR202008776694999, https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=12241 , registered on August 11, 2020.

Sections du résumé

BACKGROUND BACKGROUND
Digital adherence technologies (DATs) are recommended to support patient-centred, differentiated care to improve tuberculosis (TB) treatment outcomes, but evidence that such technologies improve adherence is limited. We aim to implement and evaluate the effectiveness of smart pillboxes and medication labels linked to an adherence data platform, to create a differentiated care response to patient adherence and improve TB care among adult pulmonary TB participants. Our study is part of the Adherence Support Coalition to End TB (ASCENT) project in Ethiopia.
METHODS/DESIGN METHODS
We will conduct a pragmatic three-arm cluster-randomised trial with 78 health facilities in two regions in Ethiopia. Facilities are randomised (1:1:1) to either of the two intervention arms or standard of care. Adults aged ≥ 18 years with drug-sensitive (DS) pulmonary TB are enrolled over 12 months and followed-up for 12 months after treatment initiation. Participants in facilities randomised to either of the two intervention arms are offered a DAT linked to the web-based ASCENT adherence platform for daily adherence monitoring and differentiated response to patient adherence for those who have missed doses. Participants at standard of care facilities receive routine care. For those that had bacteriologically confirmed TB at treatment initiation and can produce sputum without induction, sputum culture will be performed approximately 6 months after the end of treatment to measure disease recurrence. The primary endpoint is a composite unfavourable outcome measured over 12 months from TB treatment initiation defined as either poor end of treatment outcome (lost to follow-up, death, or treatment failure) or treatment recurrence measured 6 months after the scheduled end of treatment. This study will also evaluate the effectiveness, feasibility, and cost-effectiveness of DAT systems for DS-TB patients.
DISCUSSION CONCLUSIONS
This trial will evaluate the impact and contextual factors of medication label and smart pillbox with a differentiated response to patient care, among adult pulmonary DS-TB participants in Ethiopia. If successful, this evaluation will generate valuable evidence via a shared evaluation framework for optimal use and scale-up.
TRIAL REGISTRATION BACKGROUND
Pan African Clinical Trials Registry PACTR202008776694999, https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=12241 , registered on August 11, 2020.

Identifiants

pubmed: 34758737
doi: 10.1186/s12879-021-06833-x
pii: 10.1186/s12879-021-06833-x
pmc: PMC8579414
doi:

Substances chimiques

Antitubercular Agents 0

Types de publication

Clinical Trial Protocol Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1149

Subventions

Organisme : Medical Research Council
ID : MR/R010161/1
Pays : United Kingdom
Organisme : UNITAID
ID : 2019-33-ASCENT

Informations de copyright

© 2021. The Author(s).

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Auteurs

Amare W Tadesse (AW)

TB Centre, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine (LSHTM), London, UK. amare.tadesse@lshtm.ac.uk.

Zemedu Mohammed (Z)

KNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.

Nicola Foster (N)

TB Modelling Group, TB Centre, and Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine (LSHTM), London, UK.

Matthew Quaife (M)

TB Modelling Group, TB Centre, and Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine (LSHTM), London, UK.

Christopher Finn McQuaid (CF)

TB Modelling Group, TB Centre, and Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine (LSHTM), London, UK.

Jens Levy (J)

KNCV Tuberculosis Foundation, The Hague, the Netherlands.

Kristian van Kalmthout (K)

KNCV Tuberculosis Foundation, The Hague, the Netherlands.

Job van Rest (J)

KNCV Tuberculosis Foundation, The Hague, the Netherlands.

Degu Jerene (D)

KNCV Tuberculosis Foundation, The Hague, the Netherlands.

Tofik Abdurhman (T)

KNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.

Hiwot Yazew (H)

KNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.

Demekech G Umeta (DG)

KNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.

Demelash Assefa (D)

KNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.

Gedion T Weldemichael (GT)

KNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.

Ahmed Bedru (A)

KNCV Tuberculosis Foundation, Addis Ababa, Ethiopia.

Taye Letta (T)

National Tuberculosis Control Program, Ethiopian Ministry of Health, Addis Ababa, Ethiopia.

Katherine L Fielding (KL)

TB Centre, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine (LSHTM), London, UK.
School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.

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