The UK Health Security Agency and the National Health Service England (NHSE) led a hepatitis C virus (HCV) patient re-engagement exercise beginning in 2018, which entailed sharing public health surveillance data with NHSE Operational Delivery Networks (ODNs) in England. The ODNs used the data to contact and offer testing and treatment to people historically diagnosed with HCV, but who did not have evidence of successfully clearing the virus. A quantitative evaluation found that of 55 329 individuals whose details were shared with ODNs, around 13% had treatment after the exercise commenced. This qualitative evaluation aims to identify the barriers and facilitators to the re-engagement exercise as reported by ODN staff.

Semistructured interviews. The topic guide and analysis were guided by the Theoretical Domains Framework, using a combined deductive framework and inductive thematic analysis approach.

21 staff from 13 ODNs. The sampling frame was designed to capture participants from all regions of England and with varied outcomes from the re-engagement exercise.

Interviewees reported the most barriers in environmental context and resources (including staffing limitations, interruptions during COVID-19, restricted laboratory access), and social influences (with limited responses from general practitioners and patients). Interviewees discussed whether it was appropriate for ODNs and individual staff to be assigned the data validation work and reported some stress and memory/attention barriers due to the volume of the exercise. They had varied beliefs about the consequences of the exercise, with most believing it was worthwhile due to treatment yield, lessons learnt and confirmation that some people had cleared the virus. Further facilitators included the ODN goals fitting with the exercise, and regional resources such as patient databases. Interviewees also reported adaptations to the exercise that facilitated patient contact, and their ongoing work to re-engage patients emphasised outreach partnerships and peer support.

The evaluation revealed insights into methods for re-engaging patients and of sharing and using public health data to support clinical practice. Government support and funding provision for regionally tailored holistic re-engagement approaches, alongside enhancements to health surveillance data, could enable barriers to re-engagement to be overcome.

Progress at the intersection of artificial intelligence and paediatric neuroimaging necessitates large, heterogeneous datasets to generate robust and generalisable models. Retrospective analysis of clinical brain MRI scans offers a promising avenue to augment prospective research datasets, leveraging the extensive repositories of scans routinely acquired by hospital systems in the course of clinical care. Here, we present a systematic protocol for identifying ‘scans with limited imaging pathology’ through machine-assisted manual review of radiology reports.

The protocol employs a standardised grading scheme developed with expert neuroradiologists and implemented by non-clinician graders. Categorising scans based on the presence or absence of significant pathology and image quality concerns facilitates the repurposing of clinical brain MRI data for brain research. Such an approach has the potential to harness vast clinical imaging archives—exemplified by over 250 000 brain MRIs at the Children’s Hospital of Philadelphia—to address demographic biases in research participation, to increase sample size and to improve replicability in neurodevelopmental imaging research. Ultimately, this protocol aims to enable scalable, reliable identification of clinical control brain MRIs, supporting large-scale, generalisable neuroimaging studies of typical brain development and neurogenetic conditions.

Studies using datasets generated from this protocol will be disseminated in peer-reviewed journals and at academic conferences.

Tobacco use accounts for approximately 1.35 million deaths annually in India, disproportionately affecting low-income individuals, men, rural residents, those without formal education and groups of low socioeconomic status (SES). Despite progress in tobacco control, scalable, low-cost solutions, such as brief advice interventions, are needed. This study explored priority implementation determinants for adapting an evidence-based brief advice/counselling intervention for high-reach, low-resource settings in Mumbai, India. The focal settings (health-focused and tuberculosis-focused non-governmental organisations (Health NGOs and TB NGOs) and dental clinics) served low-SES populations.

Mumbai-based and US-based team members conducted a qualitative study employing semistructured interviews to gather data from four groups connected to Health and TB NGOs and dental clinics: (1) 15 patients, (2) 33 practitioners, (3) nine practice leaders and (4) three policymakers. We used a team-based, critical, reflexive thematic analysis approach to analysis, grounded in the Exploration, Preparation, Implementation and Sustainment framework. We managed data with Nvivo software.

Participants were supportive but highlighted diverse challenges and supports required for implementing the intervention in these diverse settings. First, many noted that societal constraints such as economic insecurity and cultural factors were expected to limit tobacco control efforts for low-SES populations. Second, setting-specific intervention adaptations were identified as necessary to support integration and ensure access to support for all patients. Various participant groups highlighted different adaptation areas. For example, patients noted that tobacco was part of their routines and social lives, practitioners emphasised the need to design implementation plans that support integration alongside existing needs, and policymakers highlighted the need for uniform implementation strategies.

Adapting brief advice/counselling interventions for Health NGOs, TB NGOs and dental clinics in Mumbai will require strategic communication to support buy-in, thoughtful workflow integration and changes to funding and support mechanisms for organisations so meaningful reductions in tobacco use can be achieved among low-SES groups. In other words, there is a need to adapt both the intervention and the implementing system to allow for brief advice/counselling to contribute to broader tobacco control efforts.

R01 CA230355.

This study aimed to investigate the association between food insecurity and dietary intake with anxiety and depression among residents of underserved urban settlements in Bangladesh.

This cross-sectional study was used to collect data from participants through face-to-face interviews using structured questionnaires. Food security status was assessed using the Household Food Insecurity Access Scale, while anxiety and depression levels were measured using the Generalised Anxiety Disorder-7 and Patient Health Questionnaire-9, respectively. Dietary intake was evaluated through a 24-hour dietary recall and Food Frequency Questionnaire method.

Five districts located within the Khulna Division of Bangladesh.

Residents of underserved urban areas in Bangladesh (n=749), aged ≥18 years old.

Results indicated that 22.1%, 74.6% and 44.5% of participants experienced severe food insecurity, mild to moderate food insecurity and low Household Dietary Diversity Score, with a significant portion also showing symptoms of anxiety (57.1%) and depression (57.9%). Food insecurity and Household Dietary Diversity Score were found to be positively associated with both anxiety (p

These findings highlight that food insecurity not only affects dietary habits but also exacerbates mental health outcomes. Addressing food insecurity and balanced dietary intake could therefore contribute to better mental health outcomes and overall well-being in underserved communities. Policymakers should prioritise comprehensive strategies that ensure access to nutritious foods and provide mental health support to vulnerable groups.