Data for: "Engagement with digital adherence technologies among adults with drug-susceptible tuberculosis: data from cluster randomized trials in five countries"
; Tadesse, AW and Jerene, D
(2025).
Data for: "Engagement with digital adherence technologies among adults with drug-susceptible tuberculosis: data from cluster randomized trials in five countries".
[Dataset].
London School of Hygiene & Tropical Medicine, London, United Kingdom.
10.17037/DATA.00004695.
This dataset was produced as part of five pragmatic cluster-randomised trials, with health facilities (rayon in Ukraine) as the unit of randomisation, conducted in Ethiopia (trial registration: PACTR2020087766949990), Ukraine, Tanzania, South Africa, and the Philippines (trial registration four countries ISRCTN17706019). The trials enrolled adults starting treatment for drug-susceptible tuberculosis. The dataset consists of two data tables: a "baseline" table that lists participant characteristics collected at enrolment; and the "doseday" table containing data on daily treatment adherence based on a proxy of participant engagement with a digital adherence technology (either a smart pillbox or medications-labels/text). These data underpin analysis reported in a JMIR Public Health and Surveillance 2025 paper.
Additional Information
Data access is embargoed until 1 October 2025.
Keywords
tuberculosis treatment; Adherence; digital health; digital adherence technology| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Capture method | Computer-based observation |
| Collection Period |
From To 1 June 2021 15 November 2022 |
| Date | 6 June 2025 |
| Language(s) of written materials | English |
| Creator(s) |
Fielding, K; Tadesse, AW and Jerene, D
|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & International Health (2023-) |
| Research Centre |
International Statistics and Epidemiology Group TB Centre |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom; KNCV Tuberculosis Foundation, The Hague, Netherlands; The Aurum Institute, South Africa; Organization for Appropriate Technology in Health, Kyiv, Ukraine; National TB Program in the Philippines; National TB Program in South Africa; National TB and Leprosy Programme Tanzania; National TB Program in Ukraine; National TB Program in Ethiopia; KNCV Tuberculosis Plus, Addis Ababa, Ethiopia; KNCV Tuberculosis Foundation Manila, the Philippines; KNCV Tuberculosis Foundation, Dar es Salaam, Tanzania |
| Funders |
Project Funder Grant Number Funder URI |
| Date Deposited | 23 Jun 2025 09:24 |
| Last Modified | 14 Aug 2025 08:33 |
| Publisher | London School of Hygiene & Tropical Medicine |
Explore Further
- 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
- Effectiveness of digital adherence technologies in improving tuberculosis treatment outcomes in four countries: a pragmatic cluster randomised trial protocol
- Engagement With Digital Adherence Technologies as Measures of Intervention Fidelity Among Adults With Drug-Susceptible Tuberculosis and Health Care Providers: Descriptive Analysis Using Data From Cluster-Randomized Trials in Five Countries
Data / Code
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subject - Data
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lock - Restricted to Request access for all
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copyright - Available under Data Sharing Agreement
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info - Participant-level baseline data
description - text/plain
- folder_info
- 72B
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subject - Data
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lock - Restricted to Request access for all
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copyright - Available under Data Sharing Agreement
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info - Dose-day digital adherence technology engagement data (proxy for treatment adherence)
description - text/plain
- folder_info
- 126B
Documentation
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subject - Documentation
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- Available under Creative Commons: Attribution 4.0
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info - Codebook for participant and dose day datasets
html - text/html
- folder_info
- 8kB
