Evidence map›Paper›PMID 41168758›Full record

Observational studyBMC public health2025

A study protocol on assessing the acceptance and effectiveness of a digital adherence technology for TB preventive treatment in Bangladesh.

Pushpita Samina, Md Rifat Haidar, Tasmia Ibrahim, Tanjina Rahman, Mohammad Shahnewaz Sarker, Syada Samsia Noor, Shahriar Ahmed, Mohammad Khaja Mafij Uddin, Senjuti Kabir, Sayera Banu

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Pushpita SaminaInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.ORCID http://orcid.org/0009-0008-9899-4627
Md Rifat HaidarInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Tasmia IbrahimInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Tanjina RahmanInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Mohammad Shahnewaz SarkerInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Syada Samsia NoorInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Shahriar AhmedInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Mohammad Khaja Mafij UddinInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Senjuti KabirInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
Sayera BanuInfectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh. sbanu@icddrb.org.

Funding

Stop TB Partnership's TB REACH Wave 10 initiatives STBP/TBREACH/GSA/W10-10439
6 · The paper itself

Abstract

backgroundAdherence to tuberculosis(TB) preventive treatment (TPT) remains a significant challenge in high-TB burden countries like Bangladesh, where approximately 44 million people are infected with latent tuberculosis. METHODS/

designThis study protocol describes a mixed-methods observational study to evaluate "iDOTS," a locally developed digital adherence technology adapted from 99DOTS, for monitoring and improving TPT adherence among adult household contacts of bacteriologically confirmed pulmonary TB patients. The study will be conducted in two districts in Bangladesh with similar geographical and societal characteristics, with Narsingdi as the intervention site and Manikganj as the control site. Applying the Unified Theory of Acceptance and Use of Technology (UTAUT), we will assess technology acceptance, implementation challenges, and effectiveness through quantitative and qualitative approaches. The mixed method approach will compare TPT adherence between iDOTS users and non-users, and will explore user experiences and attitudes among healthcare providers and patients. Adherence will be verified through a combination of digital records, self-reports, and random isoniazid urine testing. DISCUSSION: With an estimated sample size of 422 patients and 77 healthcare providers, this study aims to generate evidence that if digital adherence technologies can strengthen TPT implementation in resource-limited settings. The findings will address critical gaps in the TPT cascade and inform strategies for scaling up TPT nationally, ultimately supporting global efforts to reduce the TB disease burden through effective preventive measures.

trial registration'Not applicable'.

Indexed as

Antitubercular AgentsMedication AdherenceTuberculosisTuberculosis, PulmonaryAdultBangladeshFemaleHumansMaleAntitubercular AgentsDigital adherence technology (DAT)Mixed methodTB preventative treatment (TPT)Tuberculosis

Identifiers

PMID41168758
PMCPMC12574240

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Registered trials

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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.