Evidence map›Paper›PMID 40330177›Full record

ReviewIranian journal of public health2025

Effectiveness and Acceptability of Video-Observed Therapy for Tuberculosis Treatment Monitoring: A Scoping Review.

Rahayu Othman, Nazarudin Safian, Mohd Rohaizat Hassan

Abstract readReview
In one paragraph

Review in Iranian journal of 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.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

3 authors.

Rahayu OthmanDepartment of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, Kuala Lumpur, Malaysia.
Nazarudin SafianDepartment of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, Kuala Lumpur, Malaysia.
Mohd Rohaizat HassanDepartment of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tuberculosis (TB) control programs confront a significant challenge in ensuring patients fully adhere to their treatment regimens. Video-observed therapy (VOT) is an alternative digital technology for monitoring tuberculosis treatment that may potentially improve adherence and clinical outcomes. However, there is limited evidence supporting the effectiveness and acceptability of VOT. This scoping review aimed to summarize the characteristics of existing evidence-based VOT for tuberculosis treatment monitoring and to describe the evidence for their effectiveness and acceptability. Methods: This review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) extension for scoping review protocol in Jan 2023. Three databases, namely PubMed, Web of Science, and SCOPUS, were used in this review. Results: The search identified 170 articles, and after the identification and screening process, 22 articles were included in this review. The findings were categorized into effectiveness and acceptability. Conclusion: There is a progressively growing body of evidence, particularly in treating and monitoring TB using VOT, which has a positive impact on improving effectiveness regarding health outcomes and is widely accepted to implement. Future studies, such as non-inferiority trials and cost-effectiveness evaluations, will help improve tuberculosis strategies and management.

Indexed as

AcceptabilityAdherenceEffectivenessVideo-observed therapy

Identifiers

PMID40330177
PMCPMC12051805

What OpenQuestion holds

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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 OpenQuestion graph.