Evidence map›Paper›PMID 40898157›Full record

ArticleBMC nursing2025

Technology-integrated nursing interventions to improve adherence to tuberculosis medication: a scoping review.

Eli Indawati, Cecep Eli Kosasih, Hartiah Haroen, Anastasia Anna

Abstract read
In one paragraph

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

0numbers the graph read from it
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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

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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

4 authors.

Eli IndawatiFaculty of Nursing, Universitas Padjadjaran, Sumedang, Jawa Barat, Indonesia. eli24002@mail.unpad.ac.id.
Cecep Eli KosasihDepartment of Critical Care Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, 45363, Indonesia.
Hartiah HaroenDepartment of Community Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, 45363, Indonesia.
Anastasia AnnaDepartment of Critical Care Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, 45363, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite global efforts, adherence to tuberculosis (TB) treatment remains suboptimal. Nurses play a crucial role in supporting treatment adherence through direct care and the integration of digital health tools. Nursing interventions utilizing technology have great potential to enhance medication adherence by providing education, reminders, and remote monitoring tailored to patient needs.

objectiveTo explore nursing interventions involving technology that improve medication adherence among TB patients.

methodsThis scoping review followed the Arksey and O'Malley framework. Literature was systematically searched through Scopus, PubMed, and Web of Science using keywords such as "nursing intervention," "tuberculosis," and "medication adherence." Inclusion criteria encompassed studies published within the last ten years, involving people with TB, and describing technology-integrated nursing interventions aimed at improving treatment adherence. A total of 12 studies were included and thematically analyzed using a descriptive qualitative approach with NVivo software.

resultsFive main themes were identified: (1) The effectiveness of digital technology in improving medication adherence, (2) Limitations in access to healthcare services and the role of technology as a solution, (3) Video technology for directly observed therapy (VDOT), (4) Interactive reminder system (Two-Way SMS), and (5) Patient motivation in adhering to TB treatment through digital technology. Nurses were central to assessing patients' needs, training them to use digital tools, and maintaining adherence through follow-up and education.

conclusionNursing interventions that incorporate digital technology, such as SMS reminders, VDOT, and mobile health applications are effective in supporting medication adherence among TB patients. These tools empower nurses to extend care beyond the clinical setting, particularly in underserved areas.

Indexed as

Digital healthMedication adherenceNursing interventionTuberculosis

Identifiers

PMID40898157
PMCPMC12406418

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