Evidence map›Paper›PMID 40720892›Full record

ArticleJMIR public health and surveillance2025

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.

Jason Alacapa, Amare Worku Tadesse, Natasha Deyanova, Tanyaradzwa Dube, Andrew Mganga, Rachel Powers, Job van Rest, Norma Madden, Egwuma Efo, Salome Charalambous and 3 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
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

13 authors.

Jason AlacapaKNCV Tuberculosis Plus, Manila, Philippines.ORCID 0000-0002-0794-3947
Amare Worku TadesseTB Centre and Department of Infectious Disease Epidemiology and International Health, London School of Hygiene & Tropical Medicine, Keppel St, London, WC1E 7HT, United Kingdom, 44 20 7636 8636, 44 20 7636 8636.ORCID 0000-0002-7805-3191
Natasha DeyanovaProgram for Appropriate Technology in Health (PATH), Kyiv, Ukraine.ORCID 0000-0002-0768-4877
Tanyaradzwa DubeImplementation Research Division, The Aurum Institute, Johannesburg, South Africa.ORCID 0000-0003-3928-7574
Andrew MgangaKNCV Tuberculosis Plus, Dar es Salaam, United Republic of Tanzania.ORCID 0000-0001-7664-8354
Rachel PowersEvidence and Impact, KNCV Tuberculosis Plus, The Hague, The Netherlands.ORCID 0009-0003-5930-7162
Job van RestEvidence and Impact, KNCV Tuberculosis Plus, The Hague, The Netherlands.ORCID 0000-0002-5898-6306
Norma MaddenEvidence and Impact, KNCV Tuberculosis Plus, The Hague, The Netherlands.ORCID 0000-0002-7667-2108
Egwuma EfoEvidence and Impact, KNCV Tuberculosis Plus, The Hague, The Netherlands.ORCID 0009-0004-4723-5955
Salome CharalambousImplementation Research Division, The Aurum Institute, Johannesburg, South Africa.ORCID 0000-0001-7143-1009
Kristian van KalmthoutEvidence and Impact, KNCV Tuberculosis Plus, The Hague, The Netherlands.ORCID 0009-0007-2526-1708
Degu JereneEvidence and Impact, KNCV Tuberculosis Plus, The Hague, The Netherlands.ORCID 0000-0001-7853-4211
Katherine FieldingTB Centre and Department of Infectious Disease Epidemiology and International Health, London School of Hygiene & Tropical Medicine, Keppel St, London, WC1E 7HT, United Kingdom, 44 20 7636 8636, 44 20 7636 8636.ORCID 0000-0002-6524-3754

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital adherence technologies (DATs) are promising tools for supporting tuberculosis (TB) treatment. DATs can serve as reminders for people with TB to take their medication and act as proxies for adherence monitoring. Strong engagement with DATs, from both the person with TB and health care provider (HCP) perspectives, is essential for ensuring intervention fidelity. The Adherence Support Coalition to End TB (ASCENT) project evaluated 2 types of DATs, pillboxes and medication labels (99DOTS), in cluster-randomized trials across 5 countries. Objective: This study aims to investigate participant and HCP engagement with DATs for TB treatment, stratified by DAT type and country. Methods: This study is a subanalysis of data generated through the ASCENT trials, which enrolled adults with drug-susceptible TB. A digital dose was defined as either a pillbox opening (for pillbox users) or a dosing confirmation SMS text message sent by the participant (for label users), both of which were recorded on the adherence platform. Descriptive analysis was used to provide an overview of dose-day outcomes. DAT engagement was assessed from both participant and HCP perspectives. To enhance participant engagement, we summarized the frequency of digital engagement overall and by treatment phase, as well as the frequency of consecutive days without engagement. For HCP engagement, we summarized the frequency of doses added manually, the number of days between the actual dose day and when a manual dose was added, and instances of consecutive manual dosing lasting more than 3 and more than 7 days, where doses were added more than 1 week after the dose day. Results: Of the 9511 participants included, 6719 (70.64%) were using the pillbox, 3544 (37.26%) were female, and the median age was 40 years. Across DAT types, there were 1,384,879 dose days, with 973,876 (70.32%) contributed by pillbox users. Of all dose days, 1,165,195 (84.14%) were recorded as digital, 156,664 (11.31%) as manual, 59,045 (4.26%) had no information, and 3975 (0.29%) were confirmed as missed. Digital dosing decreased slightly from the intensive to the continuation phase. The percentage of digital dose days was higher among pillbox users (851,496/973,876, 87.43%) compared with label users (313,699/411,003, 76.33%). Among label users, manual dosing was most common in the Philippines (37,919/171,786, 22.07%) and least common in Tanzania (11,108/76,231, 14.57%). Among pillbox users, manual dosing was most common in the Philippines (24,015/208,130, 11.54%) and Ukraine (13,209/111,901, 11.80%). Overall, 512 out of 2792 (18.34%) label users and 588 out of 6719 (8.75%) pillbox users experienced a run of more than 7 consecutive nondigital dose days that were resolved more than 1 week after the dose day. The highest occurrence was observed in the Philippines (368/1142, 32.22%, for label users and 224/1351, 16.58%, for pillbox users). Conclusions: There was considerable variation in DAT engagement across countries and DAT types, reflecting differences in how the intervention was implemented. Further refinement of the intervention and improvements in its delivery may be necessary to enhance outcomes.

Indexed as

Digital TechnologyHealth PersonnelMedication AdherenceTuberculosisAdultAntitubercular AgentsCluster AnalysisFemaleHumansMaleMiddle AgedRandomized Controlled Trials as TopicText MessagingAntitubercular AgentsDAT engagementdigital adherence technologydigital dosingintervention fidelitymanual dosingtuberculosis

Identifiers

PMID40720892
PMCPMC12303541

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.