Evidence map›Paper›PMID 38081668›Full record

ArticleBMJ open2023

mHealth application for improving treatment outcomes for patients with multidrug-resistant tuberculosis in Vietnam: an economic evaluation protocol for the V-SMART trial.

Qinglu Cheng, Tho Dang, Thu-Anh Nguyen, Kavindhran Velen, Viet Nhung Nguyen, Binh Hoa Nguyen, Dinh Hoa Vu, Chuong Huynh Long, Thu Thuong Do, Truong-Minh Vu and 4 more

Abstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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

14 authors.

Qinglu Cheng *Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia qcheng@kirby.unsw.edu.au.ORCID 0000-0002-3701-8760
Tho Dang *Woolcock Institute of Medical Research, Hanoi, Vietnam.
Thu-Anh NguyenWoolcock Institute of Medical Research, Hanoi, Vietnam.ORCID 0000-0002-2089-2902
Kavindhran VelenFaculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
Viet Nhung NguyenVietnam National Tuberculosis Control Program, Hanoi, Vietnam.
Binh Hoa NguyenVietnam National Tuberculosis Control Program, Hanoi, Vietnam.ORCID 0000-0002-1543-4907
Dinh Hoa VuHanoi University of Pharmacy, Hanoi, Vietnam.
Chuong Huynh LongWoolcock Institute of Medical Research, Hanoi, Vietnam.
Thu Thuong DoVietnam National Tuberculosis Control Program, Hanoi, Vietnam.
Truong-Minh VuHo Chi Minh City Institute for Development Studies, Ho Chi Minh City, Vietnam.
Guy B MarksWoolcock Institute of Medical Research, Hanoi, Vietnam.ORCID 0000-0002-8976-8053
Manisha YapaFaculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
Gregory J FoxWoolcock Institute of Medical Research, Hanoi, Vietnam.
Virginia WisemanKirby Institute, University of New South Wales, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Strengthen the Management of Multidrug-Resistant Tuberculosis in Vietnam (V-SMART) trial is a randomised controlled trial of using mobile health (mHealth) technologies to improve adherence to medications and management of adverse events (AEs) in people with multidrug-resistant tuberculosis (MDR-TB) undergoing treatment in Vietnam. This economic evaluation seeks to quantify the cost-effectiveness of this mHealth intervention from a healthcare provider and societal perspective. METHODS AND ANALYSIS: The V-SMART trial will recruit 902 patients treated for MDR-TB across seven participating provinces in Vietnam. Participants in both intervention and control groups will receive standard community-based therapy for MDR-TB. Participants in the intervention group will also have a purpose-designed App installed on their smartphones to report AEs to health workers and to facilitate timely management of AEs. This economic evaluation will compare the costs and health outcomes between the intervention group (mHealth) and the control group (standard of care). Costs associated with delivering the intervention and health service utilisation will be recorded, as well as patient out-of-pocket costs. The health-related quality of life (HRQoL) of study participants will be captured using the 36-Item Short Form Survey (SF-36) questionnaire and used to calculate quality-adjusted life-years (QALYs). Incremental cost-effectiveness ratios (ICERs) will be based on the primary outcome (proportion of patients with treatment success after 24 months) and QALYs gained. Sensitivity analysis will be conducted to test the robustness of the ICERs. A budget impact analysis will be conducted from a payer perspective to provide an estimate of the total budget required to scale-up delivery of the intervention. ETHICS AND DISSEMINATION: Ethical approval for the study was granted by the University of Sydney Human Research Ethics Committee (2019/676), the Scientific Committee of the Ministry of Science and Technology, Vietnam (08/QD-HDQL-NAFOSTED) and the Institutional Review Board of the National Lung Hospital, Vietnam (13/19/CT-HDDD). Study findings will be published in peer-reviewed journals and conference proceedings. TRIAL REGISTRATION NUMBER: ACTRN12620000681954.

Indexed as

Mobile ApplicationsTelemedicineTuberculosis, Multidrug-ResistantCost-Benefit AnalysisHumansQuality of LifeRandomized Controlled Trials as TopicTreatment OutcomeVietnamclinical trialhealth economicsquality of lifetuberculosis

Identifiers

PMID38081668
PMCPMC10729151

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.