The Lancet Public Health

Background Meat processing plants in Alberta, Canada experienced among North America's largest COVID-19 outbreaks. We examined health impacts among workers by occupational hierarchy and equity-relevant characteristics. Methods This exploratory sequential mixed-methods study was guided by community-based participatory research and the PROGRESS-Plus framework. Multilingual qualitative interviews and surveys using validated instruments were conducted among meat plant workers who experienced outbreaks. Interviews were analysed using inductive-deductive thematic analysis. Multivariable logistic regression and linear regression estimated associations between occupational group, racialization, facility, and self-reported COVID-19 diagnosis, physical and mental health, and mean Everyday Discrimination Scale score. We integrated findings using joint displays. Findings Qualitative and integrated analysis of thirty-six interviews described occupational hierarchy shaping unequal protection, limited communication, constrained agency, and psychosocial harms, amplified by income insecurity and family separation. Among 187 survey respondents, compared with general labour, skilled labour (aOR 0.38; 95% CI 0.15-0.89) and management (aOR 0.13; 95% CI 0.01-0.75) had lower odds of reported COVID-19 diagnosis. Compared with Black workers, other racialized workers had lower odds of reporting fair or poor mental (aOR 0.24; 95% CI 0.09-0.58) and physical health (aOR 0.20; 95% CI 0.06-0.54). Compared with workers from the primary facility, others reported lower mean everyday discrimination scores ({beta} = -0.54; 95% CI -0.96 to -0.12). Interpretation COVID-19 harms followed workplace social hierarchies. Pandemic preparedness should combine infection-control measures with paid sick leave and income protection, multilingual communication, enforceable anti-discrimination standards, and independent reporting mechanisms. Funding Canadian Institutes for Health Research (CIHR Application no. 469206). Keywords COVID-19, immigrant workers, migrants, essential workers, health equity, occupational health, PROGRESS Plus

Background: Mortality rates have declined across most high-income countries for decades, but recent evidence suggests a slowdown in improvements or a shift to increasing mortality, particularly among working-age populations. The international distribution and drivers of these trends remain incompletely understood. Methods: Mortality trends during 2012-2019 were analysed using all-cause and cause-specific data from 30 countries. Trends were estimated via linear regression. K-means clustering with Dynamic Time Warping identified countries and ICD-10 chapters with similar temporal trajectories. Results: Trends varied substantially by nation. While Japan, Switzerland, and the Republic of Korea maintained consistent declines in all-cause mortality rates, increases were concentrated in the United States, Canada, and the United Kingdom, most prominently in persons aged 30-59 years. However, cause-specific analysis showed that rising mortality was not confined to these countries: most countries exhibited increases in at least one ICD-10 chapter, with several European countries showing increases across multiple chapters. Across countries, a small set of causes recurred among increasing trends, including external causes (self-harm, drug poisoning) at younger ages and chronic conditions (cardiovascular and liver diseases, specific cancers) in mid-life. Notably, ill-defined causes of death consistently appeared among the increasing causes across countries and age groups. Conclusions: Mortality increases in the 2010s were geographically more widespread than previously recognized. The recurrent rise in mortality from ill-defined causes suggests that an important component of mortality change remains poorly characterized. These findings indicate that stalled health progress is a systemic challenge across many high-income societies.

Background Health inequalities between occupational or social class groups are pervasive and persistent. Healthcare professionals have better health outcomes compared to the general population. Whether this is a result of healthcare education, favourable socio-demographic characteristics among professionals or other effects is not certain and the extent to which single healthcare occupational groups exhibit inequalities is unknown. We have described self-rated health and quantified geographic health inequalities among a single occupational group of Registered Nurses compared to the general population. Methods We analysed nationally representative samples from the 2011 UK Censuses across England, Wales and Scotland in the Office for National Statistics Longitudinal Study and Scottish Longitudinal Study. Self-rated health and socio-demographic characteristics for the study population are described. Inequalities in health by area deprivation among Registered Nurses and the General Population are quantified. Logistic regression analysis was used to assess the association between Nurse status and self-rated health, adjusting for socio-demographic variables. Results Among economically active, working age adults (n = 478,802), we identified 9,180 Registered Nurses resident in England, Wales and Scotland. 59% of Registered Nurses reported very good self-rated health, with only 1% reporting poor or very poor health. A smaller proportion of Registered Nurses reported less than good health than the General Population at every level of area deprivation and had smaller absolute (4.1 percentage points vs. 9.1) and relative (RR: 1.5 vs. 2.0) inequalities between residents in the most and least deprived areas. Registered Nurses have an increased likelihood of reporting good or better health compared to the general population (Scotland OR: 1.3, 95% CI: 1.2 - 1.5, England & Wales OR: 1.4, 95% CI: 1.3 - 1.5) after adjusting for socio-demographic factors. Discussion Registered Nurses report better health compared to the general population and have smaller inequalities in health by area deprivation. However, unfair and avoidable geographical differences in health are present even in this socioeconomically privileged professional group. After adjusting for socioeconomic and demographic factors, the positive association between being a Registered Nurse and having good self-rated health remained.

ObjectivesTo examine the extent to which heat-related causes of death are recorded in fatal drug overdoses, how these patterns vary across states and over time, and how overdose characteristics differ between deaths with, versus without, heat involvement recorded. MethodsDeath certificate data for all drug overdose deaths in US residents from 2001 to 2024 (from the National Center for Health Statistics) were analyzed to identify whether a heat-related cause of death was also listed on the death certificate. Joinpoint regression, descriptive statistics, and nonparametric tests were used to examine temporal trends and compare overdose deaths with versus without recorded heat involvement. ResultsIn 2001, fewer than 10 drug overdose deaths with recorded heat involvement were identified, but this number increased to 558 in 2024. From 2013 to 2024, mortality rates increased significantly, with an estimated annual percent change of 30.1 (95% Confidence Interval, 26.5-47.1). The highest mortality rates and numbers of deaths were observed in residents of Arizona and Nevada. American Indian/Alaska Native, Mexican-heritage, and foreign-born populations accounted for larger shares of overdose deaths with, compared to without, heat involvement recorded. A street or highway was more frequently identified as the place of injury in overdose deaths with (18.9%), versus without (2.2%) heat involvement reported. Psychostimulants such as methamphetamine were involved in 85.9% of overdose deaths with, compared to 28.9% without, recorded heat involvement. ConclusionsAlthough representing only a fraction of all overdose deaths, fatal overdoses involving heat exposure have increased markedly over time and disproportionately impact certain states and demographic groups.

Background and Aims: Synthetic opioids cause tens of thousands of deaths each year in North America, and there are indications that synthetic opioids are also becoming increasingly prevalent in the European drug market. This study aimed to examine high-risk substance use in the German drug-using community with a particular focus on the synthetic opioids fentanyl and nitazenes and related awareness, concerns, overdose experiences, and harm-reduction behavior. Design: Cross-sectional, observational online survey. Setting: Open drug-use scenes, addiction clinics, and substitution practices at numerous geographic locations throughout Germany, August to September 2025. Participants: 235 individuals aged 14+ from the drug using community (mean age 43.4 years; 57.9% male), 79.6% recruited by peers in open drug-use scenes. Measurements: The primary outcome was substances used within the past 12 months. In addition, sources, forms, routes of administration, and perceived changes in availability and price of (synthetic) opioids were assessed as well as risk perceptions, fears, harm-reduction behavior, and overdose-related experiences. Findings: 227 respondents reported substance use with an average of 6.2 substances, and 73.1% (95% confidence interval [CI] = 67.0-78.5%) had used at least one opioid in the past year. Synthetic opioids were consumed in many parts of Germany and across all age and gender groups. Among participants who experienced a shortage of their primary opioid in the past year, 25% (95% CI = 15.8-37.2%) reported having used fentanyl instead. 56.5% (95% CI = 36.8-74.3%) of individuals using synthetic opioids reported having experienced an overdose in the past twelve months. Most of the respondents perceived synthetic opioids as posing a high risk, and a substantial proportion expressed fear that they could be mixed into their own substances. However, only 9.9% (95% CI = 6.6-14.7%) use drug checking, although the vast majority stated they would use it if it were available to them. Conclusions: Synthetic opioids, including fentanyl and nitazenes, have entered the German drug scene, with users reporting high rates of overdose and limited access to harm reduction measures. Germany may be in an early phase of a synthetic opioid transition, warranting urgent expansion of surveillance, naloxone distribution, and drug checking services.

Background: Wastewater and environmental surveillance (WES) expanded rapidly during the COVID-19 pandemic and is increasingly proposed for routine public health use across a broader range of pathogens. Yet empirical evidence on how decision-makers judge when WES is actionable, how it integrates with existing surveillance, and how its role varies across resource and epidemiological contexts remains limited. Methods: We conducted three structured tabletop exercises (TTXs) at regional Global Wastewater Surveillance Consortium (GLOWACON) meetings in Singapore, Ethiopia, and Panama between March 2024 and May 2025, engaging more than 1,100 participants from over 60 countries spanning public health, government, research, industry, and international organisations. Standardised scenarios and decision prompts, covering respiratory, contact-transmitted, and vector-borne pathogens across multiple outbreak phases, elicited how participants prioritised, implemented, and responded to WES. Data from structured observation notes, participant worksheets, and post-exercise surveys were systematically analysed using a thematic qualitative approach to identify cross-cutting decision patterns and context-specific considerations across regions. This working paper has not been peer reviewed. Findings: Four cross-cutting decision patterns emerged. First, WES was most actionable when it addressed defined surveillance gaps, particularly during early outbreak phases when clinical testing was limited or delayed. Second, decisions to initiate, scale, or de-escalate WES depended on disease severity, the availability of actionable interventions, and the completeness of existing surveillance, not on pathogen type. Third, participants consistently treated WES as complementary to, not a substitute for, clinical and epidemiological surveillance, with its role evolving over the course of an outbreak. Fourth, implementation considerations, including sewer infrastructure, resource constraints, tourism, and mass gatherings varied substantially by setting, while governance, data-sharing, and trust concerns recurred across all three regions. Interpretation: The value of WES is determined less by pathogen-specific characteristics than by how it is embedded within decision-making frameworks in public health systems. These findings provide empirical evidence on how WES is operationalised across diverse global contexts and underscore an urgent need for clearer governance, integration, and prioritisation frameworks without which WES risks remaining an underutilised or inconsistently applied tool despite its demonstrated potential to strengthen pandemic preparedness and response. Funding: This working paper was independently initiated and conducted within the Center on AI, Security, and Technology using income from operations and gifts and grants from philanthropic supporters. A complete list of donors and funders is available at www.rand.org/CAST. RAND clients, donors, and grantors have no influence over research findings or recommendations.

PurposeOpioid overdose deaths disproportionately affect racial and ethnic minority populations in the United States, yet claims-based evidence characterizing the multi-dimensional structure of these disparities across incidence, treatment access, costs, and insurance coverage remains limited. MethodsWe conducted a retrospective cross-sectional and longitudinal cohort analysis using the HealthVerity Launch Sample, a large administrative claims database. The study population comprised 3,675,823 patients across 5 racial groups enrolled between 2020 and 2024. Eight primary analyses were conducted, including age-sex standardized overdose rates, temporal disparity trends, medication-assisted treatment (MAT) receipt, naloxone access, pharmacy costs, insurance payer type, care setting, and multivariable logistic regression for overdose risk. ResultsBlack patients had the highest age-sex standardized overdose rate (363.4 per 100,000; rate ratio [RR] = 1.27 vs. White), and those with opioid use disorder (OUD) received MAT at a rate 35% lower than White patients (19.8% vs. 30.7%; RR = 0.645), driven primarily by a buprenorphine access deficit. AIAN patients demonstrated consistent multi-dimensional disadvantage across naloxone access, MAT engagement, and pharmacy costs. After adjustment for payer type, age, and sex, all non-White groups showed lower adjusted odds of overdose than White patients (Black OR = 0.87; AIAN OR = 0.25), with Medicaid enrollment carrying 7.06 times the overdose odds of commercial insurance. ConclusionInsurance type is the dominant predictor of overdose risk, and the disproportionate Medicaid enrollment of Black patients is both a consequence of structural disadvantage and access disparities. Targeted interventions such as buprenorphine expansion in Medicaid and enhanced naloxone distribution are recommended.

Objectives We aimed to describe the characteristics of children and young people referred to social prescribing across the UK and understand what social prescribing looks like for these young people. Additionally, we aimed to explore whether access to and experiences of social prescribing vary with age and have changed from 2017 to 2025. Overall, we aimed to identify whether social prescribing reduces or exacerbates health inequalities among children and young people, and whether this has changed over time. Design Analysis of social prescribing electronic health records Setting Social prescribing hubs and services across the UK that use Access Elemental (a cloud-based social prescribing platform) Participants 52,585 individuals referred to social prescribing in 2017-2025 aged 4-25 years (mean=20.04, SD=4.71), of whom 57% were female, 39% male, <2% were in other gender groups, and 3% did not disclose their gender Primary and secondary outcome measures We summarised the characteristics of young people and described the care pathway received. We then used regression models to test whether these factors differed by age and over time. Results Most individuals were aged 18 and over, 91% lived in urban areas and 58% lived in the top three most deprived deciles of the UK. Most were referred by GPs or other allied health workers (79%) and mental health was the leading reason for referral (44%). The typical pathway included 4.64 social prescribing contacts (SD=7.70) totalling 66 minutes (SD=108), with 34% receiving an onward referral to community support. The average age of those referred to social prescribing increased over time. Conclusions Our findings indicate that social prescribing currently has limited reach for those under 18 and this disparity may be increasing. It was promising that children and young people referred to social prescribing were more likely to live in deprived areas. However, given current findings, more work is needed to increase the reach of social prescribing for children and young people across the UK.

Background Differential contributions to transmission across age groups have been reported for many respiratory infections, including SARS-CoV-2. They are crucial for estimating the impact of age-specific interventions. Disentangling these age-dependent contributions remains challenging, as they may reflect differences in contact rates, biological susceptibility, or infectiousness. Aim We aim to jointly estimate age-specific per-contact infectiousness and susceptibility and their effect on the impact of age-specific interventions. Methods The age-specific infectiousness and susceptibility were jointly estimated in a Bayesian framework by combining contact data with transmission pair data (who-infected-whom). We applied this approach to 197,840 self-reported household transmission pairs collected in the Netherlands during the COVID-19 pandemic. Using these estimates, we projected the expected impact of school closure and work-from-home measures during the early stages of an epidemic in the absence of other interventions. Results Both infectiousness and susceptibility to SARS-CoV-2 infection were lowest in children aged 0-9 years and highest in adults over 30 years old, with 2- to 4.5-fold differences between these groups. Projected impacts of age-specific interventions indicated that school closures would reduce the reproduction number by 8% or 29% when age-specific susceptibility and infectiousness were or were not considered, respectively. Conversely, working-from-home policies would lead to reductions of 41% with and 20% without age-specific infectiousness and susceptibility. Conclusion Our method enables robust estimation of age-specific infectiousness and susceptibility. Accounting for these age heterogeneities is essential for projecting the impact of age-targeted interventions. Our approach is adaptable to other respiratory infections and can guide more tailored public health responses.

Medical discrimination may alter how patients relate to health information sources following adverse care encounters. We examined whether discrimination experience is associated with selective erosion of institutional health trust and with compensatory digital health engagement, using nationally representative data from the Health Information National Trends Survey (HINTS) 6 (2022; n=6,252) and HINTS 7 (2024; n=7,278). Survey-weighted modified Poisson regression estimated prevalence ratios (PRs) for binary high-trust outcomes, and survey-weighted ordinary least squares estimated coefficients for continuous outcomes; jackknife replicate weights (50 replicates) provided variance estimates. Discrimination was associated with substantially lower probability of high trust in the healthcare system (PR=0.39; 95% CI 0.30-0.52) and physicians (PR=0.85; 95% CI 0.77-0.94), with no significant association for trust in scientists, government, family, or religious organisations. The clinical-institutional pattern replicated in HINTS 6, which additionally showed reduced trust in scientists for race/ethnicity-based discrimination. Contrary to a disengagement hypothesis, discrimination-exposed adults showed higher probability of online health information seeking (PR=1.06), health app use (PR=1.11), and online provider messaging (PR=1.13); these associations persisted after adjustment for trust in physicians. Discrimination was independently associated with lower health self-efficacy (b=-0.271). Medical discrimination selectively erodes trust in clinical institutions while leaving broader epistemic trust largely intact. Despite this, discrimination-exposed patients engage more actively with digital health channels, consistent with compensatory reorientation toward non-clinical information sources. These findings describe engaged but institutionally alienated patients, with implications for restoring clinical trust and for equity-centred digital health design.

Sex work is diverse and includes a broad range of people and settings. Over the last thirty years, a large proportion of public health emergencies of international concern (PHEIC) have involved infections transmitted through sexual or close contact and in sexual networks (WHO 2024). Sex workers can face increased disadvantage in relation to these public health emergencies. Given the significant health inequalities sex workers can face, they should be eligible to receive targeted and tailored health support to reduce health protection risks (Hester 2019; Jeal and Salisbury 2004a). However, they are often not explicitly eligible for targeted and tailored support due to a lack of information on incidence, prevalence of disease, and even more basic data such as reliable estimates of the number of sex workers in the UK. Accordingly, the aim of this paper is to determine a population size estimate, with uncertainty, that is more robust than those currently available. In this study, we apply Bayesian Evidence Synthesis to bring together historic estimation efforts with recent ONS National Population Estimates and Genito-Urinary Medicine Clinics Attendance Data (GUMCAD) from the UK Health Security Agency (UKHSA). A key feature of our model is the embedding of uncertainty from each input study in model priors, hence propagating it through to our final estimate. The Bayesian evidence synthesis model estimated a total of 84,000 sex workers in the United Kingdom (95% credible interval: 49,000-130,000), representing 0.121% of the current UK population.

BackgroundWork-related stress (WRS) accounts for 52% of self-reported work-related ill-health. In 2004, the Health and Safety Executive (HSE) developed the Management Standards (MS), aimed at helping organisations reduce WRS. This work investigates WRS post implementation, with reference to six MS risk factor domains: control, support, relationships, demand, change, and role. MethodCases of WRS were extracted from The Health and Occupation Research (THOR) database and mapped to the six domains. Trends in WRS incidence rates attributed to each of the domains were split at 2004 and compared with the overall WRS trend using mixed generalised regression models. ResultsBefore 2004, annual incidence in WRS increased by 1.4%(-0.5%,3.1%), whereas after 2004, there was a decrease of -0.9%(-1.5%,-0.2%), based on 10,815 WRS cases reported between 1996 and 2019. Three of the six MS domains (demands, relationships, and change) were reported in [~]82% of cases. Pre-2004, four of the six domains were observed to be increasing per year. Post 2004, cases increasingly contained multiple precipitating events e.g. demands + another (+2.6% per year) and relationships + another (6.1%). Reports of the two most common domains decreased post 2004 (demands -0.46%, relationships -0.55% per year), whereas incidence in less common domains increased (change 1.1%, support 2.4%, control 4.8%, role 4.7%). ConclusionTrends in WRS, and their common risk factors appear to be decreasing gradually, since introduction of MS in 2004. However, less common risk factors are becoming more prominent, contributing to reporting of WRS with multiple risk factors.

BackgroundBreast cancer is an increasing public health concern in many low- and middle-income countries, yet prevention and care decisions do not consistently rely on evidence. In Mali, patient associations are increasingly visible in cancer advocacy, but their potential role in mediating research and experiential knowledge within decision-making remains poorly understood. This study adopts a systemic perspective on knowledge transfer to examine the conditions under which a patient association-led knowledge intermediation mechanism could plausibly emerge and be embedded within breast cancer governance. MethodsWe conducted a qualitative pre-implementation study based on 29 semi-structured interviews, one focus group, and participant observation involving patient association members and leaders, health professionals, researchers, decision-makers, international partners, and media representatives. Data were analysed using an adapted version of the Consolidated Framework for Implementation Research to guide construct-based coding, followed by cross-domain analysis to identify clusters of interacting determinants synthesised into broader analytical configurations. ResultsAnalysis identified three configurations shaping the plausibility of patient association-led knowledge intermediation in breast cancer governance, across institutional, organisational, and epistemic dimensions. First, fragmented institutional arrangements, project-based financing, and discontinuous coordination limit the stabilisation of interfaces and continuity of interactions, thereby constraining the emergence of sustained knowledge transfer processes. Second, patient associations hold strong experiential legitimacy and mobilisation capacity, but their ability to assume intermediation roles is constrained by stigma, limited confidence in engaging with scientific and policy-relevant knowledge, restricted access to data and analytical resources, and weak integration into institutional decision-making spaces. These constraints are also shaped by gendered illness trajectories and social expectations that affect womens ability to engage publicly and the recognition of experiential knowledge as policy-relevant evidence. Third, competing framings of cancer problems, combined with institutional norms privileging biomedical and quantitative evidence, narrow the range of knowledge considered actionable, limiting the integration of experiential and contextual knowledge into decision-making. Together, these configurations identify the interdependent conditions shaping the emergence, functioning, and durability of association-led knowledge intermediation mechanism. Without simultaneous alignment of institutional, organisational, and epistemic conditions, intermediation is likely to remain partial, episodic, and weakly sustained. ConclusionThese findings suggest that association-led KT cannot rely on patient associations alone, nor on capacity-building alone. It requires implementation strategies that build structured interfaces enabling patient associations, researchers, clinicians, and decision-makers to jointly interpret and translate heterogeneous forms of knowledge into actionable inputs, while addressing the gendered conditions of womens engagement and the uneven recognition of experiential knowledge in institutional evidence use. Further research is needed to test how such relational configurations can be operationalised and sustained in constrained health systems.

Background: The choice of hand-drying method affects microbial contamination levels but its economic consequences have not been systematically quantified. Methods: By applying a quantitative microbial risk assessment framework, we translated the documented contamination differential between jet air dryers and paper towels into infection risk estimates, and embedded these into an established health economic model of healthcare-associated infections in NHS hospitals and an illustrative productivity analysis for the EU workforce. Results: The median estimated avoidable HCAI cost attributable to jet air dryer presence in UK NHS clinical areas was 58 million pounds per year, representing 2.1% of total HCAI expenditure for the affected hospital population, with a 50% certainty interval of 33-84 million pounds. Extended to the EU workforce, the same contamination differential implied a median of 1.7 billion euros in annual productivity gains, due to reduced absenteeism, for a shift to use of paper towels in public restrooms. Conclusions: These findings suggest that hand-drying method selection carries measurable economic implications that are not currently reflected in facility management practice. The evidence supports the prioritisation of paper towels in clinical and public settings as a cost-effective infection control measure

Background: Wearing facemasks and practising social distancing slow the spread of respiratory pathogens. However, in the event of a new pandemic emerging, the willingness of populations to voluntarily adopt these behaviours is unclear. Methods: A discrete choice experiment was conducted among 2,006 UK-based adults. Participants were presented with hypothetical scenarios describing the emergence of a respiratory virus pandemic and were asked to choose when they would wear facemasks and practise social distancing. A mixed multinomial logit model was used to jointly estimate how disease severity and prevalence, uncertainty in these quantities, and individual-level characteristics influence behavioural choices. Findings: Participants were averse to facemasks and social distancing in the absence of pandemic risk. For each ten-unit increase in severity (10 additional hospitalisations/1,000 infections), the odds of always wearing a facemask outside the home increased by 15.9% (95%CI: 14.3%, 17.5%), relative to rarely/never, and the odds of avoiding all people as much as possible increased by 16.4% (14.6%, 18.2%), relative to not avoiding anyone. Greater disease prevalence, uncertainty in disease severity or disease prevalence, a university education, prior COVID-19 vaccination and non-white ethnicity were also associated with choosing to always wear facemasks and avoid all people as much as possible. The probability of participants choosing to rarely/never wear facemasks varied from 13.4% (11.9%, 14.9%) in the lowest-risk scenario to 1.4% (1.2%, 1.7%) in the highest-risk scenario. Interpretation: Perceived risks of disease and associated uncertainty drive intention of UK adults to adapt their behaviour in a future pandemic.

Objectives: To describe secondary mental healthcare utilisation and associated costs among patients diagnosed with dementia or mild cognitive impairment (MCI). Design: Retrospective cohort study using routinely collected electronic health record data. Setting: Secondary mental healthcare services within a large NHS mental health provider in South London, UK. Participants: Adults aged 18 years or older with a recorded diagnosis of dementia or MCI between 1 January 2010 and 31 December 2020. Patients surviving less than one year after diagnosis were excluded. The final cohort comprised 16,081 individuals. Primary and secondary outcome measures: Service utilisation and NHS mental health service costs during the 12 months before and after diagnosis, including inpatient, outpatient and memory clinic contacts. Results: The proportion of patients with at least one recorded mental health service contact declined from 91% in the 12 months before diagnosis to 69% after diagnosis. Among service users, mean NHS mental health costs increased from GBP 1,497 to GBP 2,177 per person following diagnosis (mean increase GBP 680; p<0.001), driven primarily by inpatient care. Dementia diagnosis, younger age, male gender, living alone, greater cognitive impairment and higher clinical symptom burden were independently associated with higher costs. Ethnic differences in service use and costs were also observed. Conclusions: Although overall service engagement declined following diagnosis, costs increased among those continuing to access care, indicating greater intensity of service use. Understanding patterns of secondary mental healthcare utilisation and associated costs may help inform planning and resource allocation within dementia services.

Importance: Problematic use of the internet (PUI) behaviors, including problematic gaming, social media use, smartphone use, and general internet use, have been increasingly studied worldwide. So far, it is unclear what the global prevalence of PUI is. Objective: To critically appraise existing systematic reviews and meta-analyses on the prevalence of PUI behaviors and generate aggregated global prevalence estimates across different manifestations and definitions. Data Sources: MEDLINE (Ovid), Embase (Ovid), Scopus, Web of Science, CINAHL, and the Cochrane Review Library were searched for relevant articles from database inception to the most recent available search prior to manuscript preparation. Searches targeted systematic reviews and meta-analyses reporting prevalence for PUI-related behaviors. Study Selection: Systematic reviews and meta-analyses of observational studies reporting prevalence estimates for problematic gaming, problematic internet use, problematic smartphone use, problematic social media use, or sexting were included. Scoping reviews were retained for descriptive synthesis only. Data Extraction and Synthesis: An umbrella review methodology was used. Data extraction and methodological appraisal were conducted using AMSTAR-2 to assess the quality of included systematic reviews up to February 2026. Primary studies included in each review were extracted and pooled using random-effects meta-analysis. Analyses were conducted to estimate pooled prevalence with 95% confidence intervals (CIs) and heterogeneity across non-overlapping primary studies. Small-study effects were examined. Main Outcomes and Measures: Global pooled prevalence estimates for PUI behaviors, including problematic gaming, problematic internet use, problematic smartphone use, problematic social media use, and sexting. Results: Eleven reviews, including 10 systematic reviews and 1 scoping review, met inclusion criteria, representing data from 3,145,428 individuals, of whom 3,030,023 were included in pooled prevalence analyses. Across regions, pooled prevalence estimates were 6% (95% CI, 5%-7%) for problematic gaming, 16% (95% CI, 15%-17%) for problematic internet use, 32% (95% CI, 28%-35%) for problematic smartphone use, and 23% (95% CI, 19%-28%) for problematic social media use. Substantial heterogeneity (I2 > 99%) was observed across primary studies, reflecting variation in study methodologies, sampled populations, and definitions of PUI behaviors. Conclusions and Relevance: PUI behaviors appear to affect a substantial proportion of the global population. However, methodological concerns were common, with 9 of 10 systematic reviews rated as having low or critically low confidence according to AMSTAR-2. Evidence remains concentrated in East Asia and Europe, and many reviews combine heterogeneous populations and sampling strategies. Additional high-quality epidemiological research, including studies in underrepresented regions, is needed to refine prevalence estimates, clarify risk factors, and support the development of standardized criteria for PUI behaviors.

BackgroundTuberculosis (TB) incidence in the United States has remained elevated above pre-pandemic levels since 2021, with over 85% of cases resulting from reactivation of Mycobacterium tuberculosis (Mtb) infection. New vaccines that would prevent TB in adults are under development, but the potential health impact of a program prioritizing non-U.S.-born persons and persons with medical comorbidities, including persons living with HIV (PLWH), has not been evaluated. MethodsWe developed a deterministic compartmental transmission model that simulates Mtb infection, transmission, and progression to TB in the U.S., both in the general population and in key high-risk groups. We calibrated the model to 2024 U.S. TB surveillance data and estimated annual cases prevented, percent reduction in annual TB cases, and number needed to vaccinate (NNV, a measure of vaccine program efficiency) at equilibrium conditions for targeted vaccination strategies under optimistic and plausible scenarios, varying assumptions of vaccine efficacy, duration of protection, and achieved vaccination coverage in high-risk groups. FindingsUnder an optimistic scenario, vaccinating PLWH, non-U.S.-born persons, and persons with medical comorbidities (all high-risk groups) prevented 5,385 cases per year (51{middle dot}8% reduction, NNV = 366). Under a more conservative plausible scenario, the same strategy prevented 1,348 cases per year (13{middle dot}0% reduction, NNV = 510). The efficiency and impact of targeting strategies we considered were preserved across all sensitivity and uncertainty analyses. InterpretationTargeted vaccination of persons with Mtb infection in population subgroups recognized to be at high-risk for TB can reduce incidence substantially. Strategies that include non- U.S.-born persons and PLWH are most efficient and impactful. FundingAmerican Lung Association, U.S. National Institutes of Health, and the Ferguson Fellowship.

Background. The emergency department in the United States of America functions as a residual access point for healthcare and social services for populations including rural communities, the uninsured, mental health and addiction patients, and the unhoused. The workforce variable that determines unit function (experience density, the concentration of accumulated clinical judgment within a unit workforce) is not measured in hospital accounting systems. Objective. To document workforce composition changes in U.S. emergency nursing across the 2018 and 2022 cycles of the National Sample Survey of Registered Nurses (NSSRN), and to specify falsifiable predictions for the 2026 cycle. Methods. We analyzed NSSRN public-use files using a four-way ED definition extending Castner et al. (2024) and a hospital-bedside-restricted comparator. Variance estimation used jackknife replicate weights for 2018 and Successive Differences Replication for 2022. Burnout was operationalized using the Norful et al. (2023) leaving-reasons proxy across cycles, with sensitivity analysis using the 2022 direct burnout item. Results. A 15-year trajectory (2008-2022) documents progressive experience-density compression: the ED's 15+ year veteran cohort fell from 41.9% to 28.0% over the decade preceding the pandemic, a loss of nearly a third of the senior cohort and a 19.6% decline in mean experience density, before recovering modestly to 33.3% as veteran nurses remained through the pandemic acute phase, leaving the ED as the youngest hospital setting throughout. Hospital non-ED bedside nurses lost senior tenure between cycles (mean 15.65[-&gt;]14.06 years since first licensure; 15+ year share 43.5%[-&gt;]38.7%), while ED nurses retained their senior tail (mean 11.60[-&gt;]12.58). Burnout endorsement rose sharply in both populations (non-ED 27.3%[-&gt;]46.0%; ED 34.2%[-&gt;]61.2%), with the ED-vs-non-ED gap more than doubling. Controlling for tenure, ED status was not independently associated with burnout in 2018 (OR 1.15, 95% CI 0.83-1.59) but was strongly associated in 2022 (OR 1.92, 95% CI 1.44-2.55; p<.001). The direct burnout item showed a parallel pattern (OR 2.92, 95% CI 1.62-5.28). Conclusions. A pandemic-era setting-specific burnout effect emerged in emergency nursing that workforce-composition controls cannot explain. The 2022 cycle establishes a pre-exit baseline against which the 2026 NSSRN will serve as the falsifiable test of post-Omicron veteran exit. Nursing pipeline replacement lag exceeds the interval before 2026 data arrives; the consequences of inaction fall on populations dependent on ED-based residual access.

Abstract Background. Area-level cancer disparities are routinely estimated from public county data in which rates based on small counts (fewer than 16 cases or deaths) are suppressed. Analysts typically drop suppressed counties (complete-case analysis). Because suppression depends on case counts tied to population size and demographic composition, this missingness may be informative, but its effect on the disparity estimate has not, to our knowledge, been quantified. Methods. In a cross-sectional ecological study of 3,143 U.S. counties (analytic sample 3,018 with computable exposure) using one frozen public release of NCI State Cancer Profiles incidence and mortality data and ACS 2018-2022 5-year data, we estimated the most- versus least-deprived ICE(race+income) quintile rate ratio (RR) and rate difference for female breast, stomach, and cervix cancers under four suppression-handling methods: complete-case, available-case, bounding, and model-based small-area estimation. We characterized which counties were erased, and, following the ADEMP framework, ran a Monte Carlo simulation (1,000 replicates per cell; Monte Carlo standard error of bias approximately 0.0025) calibrated to the release to measure bias against a known truth. Analyses were pre-registered. Results. The suppressed fraction rose with rarity: 7.4% of counties for breast, 61.3% for stomach, and 75.7% for cervix incidence. Suppression was concentrated in the most-deprived quintile (cervix, 81.8% suppressed vs 63.8% least-deprived) and overwhelmingly removed rural rather than minority residents (cervix: 81% of the rural but 9% of the minority population erased). For breast (little suppression) the RR was 0.87 (95% CI 0.85-0.89) and identical across methods; for cervix incidence the complete-case RR (1.56) exceeded the model-based estimate (1.50), and for cervix mortality (91% suppressed) complete-case (1.86) exceeded model-based (1.56) by 16% with a wide bounding interval (1.88-2.62). In calibrated simulation, population-weighted complete-case bias was small (less than 2%) at the observed deprivation-county-size correlation and grew with rarity, threshold, and unweighted aggregation; its direction was conditional, becoming positive (over-estimation) as deprived counties became smaller. Conclusions. Complete-case handling of suppressed counties over-estimates rare-cancer area disparities relative to methods that retain them, while silently erasing most of the rural and most-deprived communities the estimate is meant to represent. The effect is negligible for common cancers and grows with rarity. Public-data disparity analyses should report the suppressed fraction and use bounded or model-based estimates by default. Keywords: cancer disparities; small-count suppression; Index of Concentration at the Extremes; informative missingness; small-area estimation; rural health.