To develop predictive models for early and overall tuberculosis (TB) deaths for prospective use at TB diagnosis in resource-constrained TB programme settings.

Statewide cohort study using routinely captured secondary data.

With the majority of TB deaths being early (within 2 months), India’s TB programme’s information management system (Ni-kshay)-dependent death prediction models (using age, gender, TB site, previous treatment, microbiological confirmation, HIV, diabetes and bank account availability) are not feasible for prospective use, as few variables are captured at diagnosis. Utilising routinely captured triage variables for severe illness at diagnosis (body mass index, pedal oedema, respiratory rate, oxygen saturation and ability to stand without support) from an ongoing statewide and state-specific differentiated TB care initiative to reduce TB deaths in Tamil Nadu state (southern India, 80 million population with 0.1 million annual notifications), robust models for prospective use were developed.

Adults (aged ≥15 years) with TB (not known to be drug-resistant at diagnosis) that were notified from public facilities of Tamil Nadu from July 2022 to June 2023.

Early and overall (within 12 months of notification) TB deaths. Area under the receiver operating characteristic curve (AUC) was used to assess accuracy of models built using modified Poisson regression.

Among 55 971 adults, the overall death rate was 7.4%, and 67.9% of the deaths were early. In predicting overall deaths, accuracy of the model using all Ni-kshay variables (AUC 0.716 (95% CI 0.707 to 0.725)) was as good as the model using triage variables for severe illness only (AUC 0.701 (95% CI 0.691 to 0.711)). To the latter, adding potentially capturable Ni-kshay variables at diagnosis (age, gender, TB site, previous treatment and microbiological confirmation) significantly improved model accuracy (AUC 0.754 (95% CI 0.745 to 0.763)). Further addition of remaining Ni-kshay variables did not improve accuracy significantly. Death prediction equations were generated for these models.

Simple and easily measurable triage variables for severe illness should be routinely captured at TB diagnosis. A death prediction calculator (http://44.208.93.99/) based on these variables (specifically triage variables for severe illness combined with age, gender, TB site, previous treatment and microbiological confirmation) may be used by Indian states and high TB burden countries seeking scalable, data-driven interventions to reduce TB deaths.

Access to musculoskeletal healthcare services in Sub-Saharan Africa is inadequate. As osteoarthritis is the most prevalent chronic osteoarticular disease globally, it’s essential to understand its social and economic impact, as well as the determinants of inequities in access to healthcare services in Sub-Saharan Africa. The absence of systematised knowledge on this topic makes this review pertinent. However, due to data scarcity, assessing this burden is challenging. The objective of this scoping review is to map and summarise the available literature up to 2025 on the socioeconomic burden and health inequity determinants among the Sub-Saharan African population with osteoarthritis.

A predefined search strategy will be applied to MEDLINE (via PubMed), Embase, African Journals Online and African Index Medicus to incorporate articles relevant to adults diagnosed with osteoarthritis who are residents of sub-Saharan Africa. We will also include grey literature sources such as Google Scholar, Research Square, manuals, books, medical society websites, secondary databases, theses and dissertation repositories and conference proceedings. Study selection will be conducted in two stages by a pair of reviewers who will independently screen titles and abstracts according to the eligibility criteria, followed by a full-text review of the selected studies. The search period was from October 2025 to January 2026. Data extraction will be performed using a standardised charting form developed by the review team.

This scoping review maps evidence on OA-related socioeconomic impacts and healthcare inequities in Sub-Saharan Africa. As a secondary data analysis, ethical approval is not required. Findings will be disseminated via peer-reviewed journals and academic conferences to clinicians and policymakers.

Preserved Ratio Impaired Spirometry (PRISm) is a new spirometric entity defined in international guidelines, associated with overall worse outcomes. It remains unclear whether this represents a distinct entity or an early phase of multiple other diseases, such as chronic obstructive pulmonary disease (COPD) and restrictive lung diseases. There is a notable scarcity of data on PRISm, particularly in Lebanon. This study aimed to evaluate the prevalence of PRISm and COPD, and their associated factors, among individuals aged 40 years and above who underwent spirometry in a single university medical centre between 2022 and 2024.

Outpatient Pulmonary Function Tests Laboratory at a Lebanese university medical centre.

All individuals aged 40 years or older who performed spirometry between 2022 and 2024

A retrospective analysis of pulmonary function tests (PFTs) and demographics was performed. Patients were classified based on the spirometry patterns that are consistent with COPD (forced expiratory volume in the first second (FEV₁)/forced vital capacity (FVC)1/FVC≥0.7 and FEV₁1/FVC≥0.7 and FEV₁≥80%). A small number of PFTs did not meet the above criteria and were classified as ‘others’; they were excluded from the main analysis but retained for descriptive estimation of PRISm and COPD prevalence over the past 3 years. The prevalence and associated risk factors of PRISm and COPD were assessed. Descriptive, bivariate and multinomial regression models were performed using IBM’s Statistical Package for the Social Sciences V.29.

A total of 698 PFTs were performed for 639 patients. The prevalence of PRISm and COPD in the centre between 2022 and 2024 was 11% and 17%, respectively. Compared with normal PFTs, subjects with PRISm were older (adjusted OR; aOR (95% CI)=1.03 (1.002 to 1.05); p=0.03) and more likely to be ex-smokers (aOR=2.19 (1.12 to 4.30); p=0.022); patients with COPD were older (aOR 1.09 (1.07 to 1.12); p

These findings highlight PRISm as a potentially relevant pattern within chronic airway disease. Within the context of Sustainable Development Goal 3 on non-communicable diseases, they underscore the importance of identifying this subgroup for closer clinical attention. Further longitudinal and multicentre studies are needed to better understand the clinical significance of PRISm and its relationship to chronic airway diseases.

The Mental health care: Adverse Sequelae of COVID-19 study aimed to (1) compare the consequences of the COVID-19 pandemic for mental health services and people with pre-existing mental health conditions (MHCs) in six low- and middle-income countries and (2) identify good practice to mitigate these impacts.

An observational study, using a mixed-methods convergent design triangulating data from (1) semistructured interviews or focus groups and/or a self-completed survey, (2) routine service utilisation data, (3) local grey literature and (4) expert consultation.

The study was conducted in Chile, Ethiopia, Georgia, Nigeria, South Africa and Sri Lanka.

121 key informants.

We found clear evidence in all sites that the pandemic exacerbated pre-existing disadvantages experienced by people with MHCs and led to a deterioration in the availability and quality of care, especially psychosocial care. Alongside increased vulnerability to COVID-19, people with MHCs faced additional barriers to accessing prevention and treatment interventions compared with the general population. To varying extents, sites showed accelerated implementation of digital technologies, but with evidence of worsening inequities in access. In sites where primary care-based mental healthcare was more developed or prioritised, systems seemed more resilient and adaptive.

Our findings have the following implications. First, these mental health service reductions are clear examples of ‘structural stigma’, namely policy level decisions in healthcare which place a low priority upon services for people with MHCs. Second, integration of mental healthcare into all general healthcare settings is key to ensuring accessibility and parity of physical and mental healthcare. Third, digital innovations should be designed to strengthen and not fragment health systems. We discuss these findings in terms of anticipating such challenges for future pandemics and preparing layers of resilience.

To determine the prevalence, patterns and correlates of medicinal herb use in a rural Iranian population and to evaluate demographic and clinical predictors using adjusted regression models.

Cross-sectional analysis of baseline data from the Fasa Prospective Epidemiological Research Studies in Iran Cohort Study.

Sheshdeh, a rural district in southern Iran.

10 143 adults aged 35–70 years enrolled between 2017 and 2019.

Prevalence of self-reported medicinal herb use during the past year and its associations with demographic variables and non-communicable diseases (NCDs).

Overall, 84.7% of participants (95% CI 83.9% to 85.5%) reported herb use. In multivariable logistic regression, higher educational attainment was positively associated with herb use (university education vs. illiterate: adjusted OR 1.41, 95% CI 1.11 to 1.88). No significant adjusted associations were observed between herb use and major NCDs including diabetes, hypertension, ischaemic heart disease or depression. The most frequently used herbs were Zataria multiflora, Echium amoenum and Matricaria chamomilla, most commonly for anxiety/neurasthenia (81.6%), gastric pain (59.6%) and common cold (49.8%).

Medicinal herb use is highly prevalent among adults in southern Iran. Educational level, but not chronic disease status, was associated with herb use. These findings highlight the need for integrated public health strategies regarding safe and evidence-based use of medicinal herbs.

Miscarriage, defined in the UK as loss of pregnancy prior to 24 weeks gestation, can have long-term psychological implications. Clinical guidelines for perinatal bereavement care do not provide guidance on how best to support the mental health of women, and their partners, after miscarriage. Peer support (support from those who share common characteristics) is often sought, but there is little understanding of its access and use. We conducted a systematic review to understand the barriers to and facilitators of the implementation of peer support to improve mental health outcomes for parents after miscarriage.

Systematic review and thematic synthesis.

A comprehensive systematic search across nine databases (MEDLINE, CINAHL, APA PsycINFO, Web of Science (all databases), EMBASE, CENTRAL, LENS.org, British Nursing Index and Health Management Information Consortium) was conducted in June 2025. Grey literature was identified through website searching, contact with topic experts and a national Call for Evidence.

Qualitative and mixed-methods studies exploring motivations, experiences and preferences for peer support after miscarriage were included.

Two independent reviewers used standardised methods to search, screen, extract and code included studies. Suitable studies were evaluated using the Critical Appraisal Skills Programme Qualitative Research Checklist. Findings were extracted and subjected to a thematic synthesis.

Across nine studies included in the review, three overarching themes were developed, with seven subthemes, capturing both barriers and facilitators. ‘Engaging in relational recognition’ reflects the validation and connection that arise through experiential resonance, often heightened by the context of exclusion from broader social or clinical support. ‘Mechanisms of Communality’ describe how communality is enacted through dynamic peer interactions, including modelling and facilitating grief, benchmarking physical change and mattering through reciprocity, highlighting mutual support and shared coping. ‘Dynamics of Access’ consider factors which shape engagement, including changing needs of individuals across time and modalities of support and their effects.

These findings form the first synthesis of peer support after miscarriage and bring a nuanced service user perspective of barriers and facilitators by examining evidence from diverse studies. Peer support after miscarriage was seen to be a dynamic, relational process shaped by shared experience, mutual exchange and context-specific factors. Findings underscore key policy and practice considerations, including the use of trauma-informed, loss-sensitive approaches and consideration of intersectionality, that should be reflected when offering peer support services, with and for, those who have experienced miscarriage.

CRD42024518248.

Intracerebral haemorrhage (ICH) accounts for approximately 15% of all strokes in Denmark and remains associated with high mortality and morbidity. It is challenging to distinguish neoplastic from non-neoplastic causes of ICH in the acute setting, and CT findings that may aid early differentiation have not been fully characterised. Existing ICH-classification systems (SMASH-U, H-ATOMIC and CLAS-ICH) have not been directly compared for diagnostic accuracy in this setting. Identifying radiological and clinical factors associated with underlying aetiology may support faster diagnosis, reduce time to workup related to potential underlying cancer and facilitate early targeted treatment of the underlying cause of ICH.

This study is a retrospective observational cohort including all patients admitted with acute ICH to the Department of Neurology, University Hospital of Southern Denmark, Aabenraa between January 2014 and December 2024 (estimated approximately n=610). Medical records and initial non-enhanced CT scans will be reviewed. Two neurologists and two radiologists, blinded to final diagnosis, will independently extract clinical presentation, topographical and volumetric haemorrhage characteristics, and classify each case using the abovementioned ICH-classification systems. Primary analyses will assess associations between clinical and radiological features and underlying neoplastic vs non-neoplastic aetiology. Secondary analyses will compare diagnostic performance of classification systems using sensitivity, specificity and receiver operating characteristic curves. Multivariate logistic regression models will be applied with Holm correction for multiple comparisons.

The study has been submitted to the National Danish Research Ethics Committee and the Danish Data Protection Agency. As data derive from completed disease courses, no patient contact is expected. Results will be disseminated through peer-reviewed journals, conferences and scientific presentations.

The United Nations (UN) Sustainable Development Goal 6 seeks to ensure universal access to safe drinking water by 2030, but vast inequities in access exist, especially among vulnerable communities including limited resource, rural, disaster-affected areas. Flood disasters, exacerbated by the climate crisis, hinder the ability of individuals and families to meet essential drinking water needs and increase their susceptibility to waterborne illnesses. Point-of-use (POU) water treatment is an effective solution for water-insecure populations during and immediately following flood emergencies. However, an initial literature search identified knowledge gaps surrounding implementation of POU water systems. This scoping review aims to synthesise published evidence between January 2015 and July 2025 on barriers and facilitators to utilisation of POU water treatment systems during and immediately following flood-related disasters. The findings will inform efforts to promote resilience and agency among water insecure communities, specifically by equipping them with actionable knowledge on sustainable access to safe drinking water.

This scoping review will be guided by the work of Arksey and O’Malley and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews. Search terms will be identified through an iterative process using the PICOT method and Boolean logic. Four databases—Scopus, PubMed, Web of Science and Google Scholar—with the addition of grey literature from UN agencies and non-governmental organisations focused on water-related issues will be searched. Two independent reviewers will apply a priori eligibility criteria to select studies. Conflicts will be resolved through discussion and a third independent reviewer absent agreement between the first two reviewers. Cohen’s kappa statistic will be calculated to assess inter-rater reliability. Data extraction will be guided by predefined data points, and the Consolidated Framework for Implementation Research will guide evidence synthesis through a solution-based approach.

Institutional research ethics review is not required because no human subjects are involved. Findings will be disseminated through a peer-reviewed publication, a policy brief, conference presentations and infographics for use by organisations serving flood disaster impacted communities.

Care provided in people’s own homes (domiciliary care) is an increasingly important part of long-term care. There are various services, including home visits, live-in care and housing with care. Some people directly employ care staff, called personal assistants. Services vary in quality, price and availability, and there is currently little evidence of the value these services provide to the public purse and individuals. This study protocol presents planned research to fill this important gap.

This will be a cross-sectional study based on surveys of care recipients, their unpaid carers as well as formal care providers. In the first half of 2026, we will survey 1850 people accessing domiciliary care either through a homecare agency, a housing with care scheme or by directly employing personal assistants and 400 unpaid carers, all based in England. We will conduct a cost-effectiveness analysis taking a ‘production function’ approach and use quality of life as measured by the Adult Social Care Outcomes Toolkit as the main outcome of interest.

The study received ethical approval from the School of Social Sciences Staff Review Committee at the University of Kent on 20 May 2025 (reference 1195) and the Health Research Authority, London—Camberwell St Giles Research Ethics Committee on 28 October 2025 (reference 25/LO/0652). Implications around consent, data protection and confidentiality, risk and participant payment are discussed. In addition to academic outputs (eg, academic articles, conference presentations), we aim to coproduce news items and blogs with people with lived experience of accessing long-term care and jointly present findings at events aimed at the care sector. Moreover, we will offer participating care providers benchmarking briefs based on our findings.

Data on medication concentrations in human milk and their potential effects on the breastfed infant remain limited, leaving clinicians with insufficient evidence to guide women who require medication while breastfeeding. The MedMilk study aims to systematically measure medication concentrations in human milk, calculate the relative infant dose (RID) and evaluate infant outcomes.

This observational clinical study will recruit breastfeeding women using prescription and over-the-counter medications. Women will provide milk and urine samples along with self-reported maternal and infant health data. The primary outcome is quantification of medication concentrations in human milk. Secondary outcomes include estimation of the RID based on measured milk concentrations, maternally reported infant symptoms and adverse events potentially related to medication exposure, and pharmacokinetically simulated infant plasma exposure. Analytical methods include solid-phase extraction liquid chromatography-tandem mass spectrometry for quantification combined with descriptive statistics and pharmacokinetic modelling. The study aims to recruit approximately 250 women across medication groups. For the most frequently used medications, we aim to include 20 participants per medication, with each participant contributing four milk samples and a urine sample. Biological samples will be stored in a biobank, and data in a secure database.

The study has been approved by the Regional Research Ethics Committee of the Capital Region of Denmark (Journal no. H-23062687) and the Danish Data Protection Agency (Ref. P-2023-14627). All participants will provide written informed consent before enrolment. Findings will be disseminated through peer-reviewed journal publications and presentations at relevant national and international scientific conferences.

NCT07346716.