Implementation of low-intensity, evidence-based psychological interventions can help meet the mental health and psychosocial needs of people with cancer, especially in low-resource settings where there is a dearth of mental health specialists. In this study, we will conduct a feasibility randomised controlled trial (RCT) of the stress management intervention Self-Help Plus, which has been translated and adapted to Vietnamese, vSH+, among people newly diagnosed with breast or gynaecological cancer in Viet Nam.

At six participating hospitals, individuals diagnosed with breast or gynaecologic cancer within the past year will be recruited, consented and randomised into either enhanced usual care (EUC) or EUC plus the vSH+ intervention, which consists of four sessions each lasting approximately 75 min. Quantitative surveys will be administered at three time points: enrolment/baseline (T0), after 6 weeks (T1) and after 4 months (T2). A qualitative evaluation component, which will include in-depth interviews with patients, implementers and healthcare staff and managers, as well as focus group discussions with caregivers, will assess the acceptability and feasibility of the vSH+ intervention.

Ethical reviews for the study were obtained from Boston University, Hanoi University of Public Health (HUPH) and all the participating hospital sites. On completion of data collection and analyses, the research team will prepare and submit abstracts to scientific conferences as well as manuscripts to peer-reviewed journals. We will also conduct dissemination events to report the trial results to relevant stakeholders.

NCT06398067.

In 2022, the WHO conditionally recommended the use of treatment decision algorithms (TDAs) for treatment decision-making in children

Within the Decide-TB project (PACT ID: PACTR202407866544155, 23 July 2024), we aim to generate an individual-participant dataset (IPD) from prospective TB diagnostic accuracy cohorts (RaPaed-TB, UMOYA and two cohorts from TB-Speed). Using the IPD, we aim to: (1) assess the diagnostic accuracy of published TDAs using a set of consensus case definitions produced by the National Institute of Health as reference standard (confirmed and unconfirmed vs unlikely TB); (2) evaluate the added value of novel tools (including biomarkers and artificial intelligence-interpreted radiology) in the existing TDAs; (3) generate an artificial population, modelling the target population of children eligible for WHO-endorsed TDAs presenting at primary and secondary healthcare levels and assess the diagnostic accuracy of published TDAs and (4) identify clinical predictors of radiological disease severity in children from the study population of children with presumptive TB.

This study will externally validate the first data-driven WHO TDAs in a large, well-characterised and diverse paediatric IPD derived from four large paediatric cohorts of children investigated for TB. The study has received ethical clearance for sharing secondary deidentified data from the ethics committees of the parent studies (RaPaed-TB, UMOYA and TB Speed) and as the aims of this study were part of the parent studies’ protocols, a separate approval was not necessary. Study findings will be published in peer-reviewed journals and disseminated at local, regional and international scientific meetings and conferences. This database will serve as a catalyst for the assessment of the inclusion of novel tools and the generation of an artificial population to simulate the impact of novel diagnostic pathways for TB in children at lower levels of healthcare. TDAs have the potential to close the diagnostic gap in childhood TB. Further finetuning of the currently available algorithms will facilitate this and improve access to care.