JAMA Network Open

Objective: To examine whether Medicaid-enrolled preschoolers with untreated decayed teeth received dental treatment within one year of enrollment and identify the factors associated with a treatment gap. Methods: A retrospective cohort analysis of data from a cluster-randomized trial conducted in 18 community-based pediatric primary care practices in Northeastern Ohio (2017-2022). Treatment receipt was determined using Medicaid claims, with treatment gap defined as fewer teeth with treatment claims than teeth found on baseline exam with decay. Multivariable logistic regression assessed the association of treatment gap with child age, sex, race/ethnicity, caregiver education, and number and location of baseline decayed teeth. Results: Of 766 eligible children, 487 (63.6%) attended the dentist within one year. Among 155/487 (31.8%) with baseline untreated decay, 90/155 (58.1%) had a treatment gap. Odontograms visually showed that decay was concentrated on upper anterior and posterior teeth. A treatment gap was associated with a greater number of decayed posterior teeth (OR = 1.90, 95% CI: 1.60-2.30) and decayed anterior teeth (OR = 2.19, 95% CI: 1.51-3.39), both p < 0.001. Other socio-demographic variables were not significantly associated with a treatment gap. Conclusion: More than half of Medicaid-enrolled children attending well-child visits had a dental treatment gap after 1 year. This pattern may reflect dentists' hesitancy to restore primary teeth nearing exfoliation and needing multiple dental visits to complete needed restorative treatment. To address this gap, non-surgical interventions such as silver diamine fluoride can be applied by pediatric primary care providers to control the bacteria and prevent disease progression.

Objectives To compare hospital claims and costs for major tobacco associated diseases with ICD 10 F17 tobacco dependence coding in Indonesian national health insurance claims and to assess whether the insurer records tobacco addiction or mainly pays for its complications. Design Retrospective claims based observational study using routinely collected administrative claims reported according to STROBE and the RECORD extension. Setting Indonesian national health insurance scheme Jaminan Kesehatan Nasional including referral hospital and primary care claims from 2015 to 2023. Participants A national mental health claims sample of 54820 members with at least one ICD 10 mental or behavioral F code diagnosis weighted to 1032022 members and 2074277 referral hospital visits. Primary and secondary outcome measures The primary outcome was verified claim costs in USD for hospital visits with a primary diagnosis of chronic obstructive pulmonary disease J44 or tracheal bronchial or lung cancer C33 to C34 or ischemic heart disease I20 to I25 or stroke I60 to I69. Secondary outcomes were counts of ICD 10 F17 tobacco dependence coding and the disease to F17 coding ratio. Results The four tobacco associated disease groups accounted for 13946 visits among 5223 patients and USD 4.20 million in verified costs representing 6.0 percent of hospital spending in the sample. Weighted costs were USD 74.7 million of which cardiovascular and cerebrovascular disease accounted for 95 percent. F17 appeared in only 51 referral hospital encounters and 26 primary care encounters. Only 2 of 5223 patients with these tobacco associated diseases or 0.04 percent were ever coded with F17. Conclusions The Indonesian national insurer paid substantially for tobacco associated morbidity while tobacco dependence was almost never coded. Smoking related diseases were reimbursed but tobacco dependence treatment was not captured as a financed care target. Embedding brief cessation care reimbursable pharmacotherapy and routine F17 coding into primary care could help shift tobacco related expenditure from downstream complications toward addiction care. Keywords tobacco dependence smoking cessation F17 coding health expenditure administrative claims Indonesia

Introduction: Breast, cervical, and colorectal cancer screening guidelines changed substantially between 2010 and 2019. We examined trends in the annual utilization of these screenings among commercially insured enrollees in the United States from 2010 to 2019 by age group, geographic region, and screening modality. Methods: We conducted a retrospective, serial cross-sectional analysis of the MarketScan Commercial Claims Database from 2010 through 2019, comprising approximately 141.2 million privately insured enrollees. Annual screening rates, defined as the proportion of eligible enrollees receiving a given test within each calendar year, were estimated for cervical, breast, and colorectal cancer using procedure codes, stratified by age group, screening modality, and geographic residence. These reflect annual utilization rather than up-to-date (guideline-concordant) screening. Temporal trends were evaluated using two-sided Poisson regression, and urban-rural disparities in 2019 were assessed using multivariate generalized estimating equations. Results: Cancer screening utilization remained stagnant or declined across all three cancer types over the study period. Among women aged 30-64 years, cervical cytology alone declined substantially from 28.2% in 2010 to 8.8% in 2019, while co-testing increased from 11.4% to 20.3%. Screening mammography among women aged 50-64 showed minimal change, remaining stable at 45.7% in 2010 and 45.8% in 2019. Colorectal cancer screening across enrollees aged <64 decreased modestly from 7.7% in 2010 to 6.5% in 2019, with a more pronounced decline among adults aged 45-49 years. Across all three cancer types, screening utilization was higher among urban residents than rural residents, with incidence rate ratios ranging from 1.02 to 1.05 in 2019. Conclusions: Utilization of cervical, breast, and colorectal cancer screening among commercially insured adults did not improve between 2010 and 2019. Persistent urban-rural disparities highlight ongoing gaps in preventive care delivery. Targeted interventions may help improve screening utilization, particularly in rural and underserved populations.

Importance: The impact of COVID-19 containment policies (e.g., physical distancing, school closures) on population anxiety has been debated and difficult to resolve. Objective: To estimate the joint effects of state-level COVID-19 containment policies on anxiety symptoms during the early pandemic. Design: Retrospective analysis of a prospective cohort with cross-sectional outcome assessment. Setting: All of Us Research Program, a U.S. national research cohort. Participants: 40,610 adult participants who completed the All of Us COPE survey in July 2020. Exposures: Seven state-level COVID-19 containment policies (school closures, workplace closures, cancellation of public events, restrictions on gatherings, public transport closures, stay-at-home requirements, and restrictions on internal movement) measured from March 22 to May 23, 2020, via the Oxford COVID-19 Government Response Tracker (OxCGRT). Main outcomes and measures: The primary outcome was anxiety symptoms (GAD-7) in July 2020. Using quantile g-computation, we classified policies as anxiety-increasing or anxiety-decreasing by the sign of their training-set contributions, then re-estimated joint effects in a holdout testing set. Results: Among participants (64% female; mean age: 57.8 years), 13.3% (n=5398) reported moderate-to-severe anxiety (GAD-7 score 10-21) in July 2020. The joint effect of all seven containment policies was not significant ({beta} = 1.88, 95% CI: -0.51 to 4.28, p = 0.12). An anxiety-increasing joint effect from 4 policies (school, workplace, public events, internal movement; {beta} = 2.98, 95% CI: 0.30 to 5.66, p = 0.03) and an anxiety-decreasing joint effect from 3 policies (gatherings, public transport, stay-at-home; {beta} = -1.10, 95% CI: -1.75 to -0.44, p = 0.002) reached significance. Effects were largest in adults 18-44 (anxiety-increasing {beta} = 8.93, 95% CI: 1.50 to 16.37, p = 0.02; anxiety-decreasing {beta} = -2.81, 95% CI: -4.98 to -0.64, p = 0.01), with no significant effects in adults 45 and older. Conclusions and Relevance: Modeling seven containment policies jointly showed no net anxiety effect, a result that masked opposing-direction effects. Partitioning by effect direction revealed significant joint effects exceeding single-policy estimates, with young-adult point estimates above the 4-point GAD-7 minimal clinically important difference (MCID) though lower CI bounds fell below it. These findings may inform the use of containment policies in future pandemics, given their differing association with population anxiety

Background: Financial toxicity is an increasingly recognized survivorship issue, but whether diabetes identifies a distinct high-risk financial-toxicity phenotype among U.S. cancer survivors is not well characterized. Methods: We conducted a cross-sectional study using pooled 2021-2024 National Health Interview Survey Sample Adult data. Adults were classified into four mutually exclusive groups: neither cancer nor diabetes, diabetes only, cancer only, and cancer plus diabetes. The primary outcome was any financial toxicity, defined as cost-related care disruption or medication underuse in the prior 12 months. Survey-weighted prevalence estimates and multivariable Poisson regression were used to calculate adjusted prevalence ratios (aPRs). Results: The weighted analytic population included 210.4 million adults with neither condition, 20.6 million with diabetes only, 20.9 million with cancer only, and 4.3 million with both cancer and diabetes. Any financial toxicity was present in 18.8%, 18.8%, 11.6%, and 17.2% of these groups, respectively. Among cancer survivors, diabetes was associated with higher prevalence of any financial toxicity (aPR 1.51, 95% CI 1.33-1.73), inability to afford prescriptions (aPR 1.71, 95% CI 1.40-2.08), skipped medication doses (aPR 1.91, 95% CI 1.48-2.46), any emergency department visit (aPR 1.35, 95% CI 1.24-1.47), and [&ge;]2 emergency department visits (aPR 1.55, 95% CI 1.32-1.83). In treatment-stratified analyses, the burden was greatest among insulin-treated survivors. Conclusions: Cancer survivors with diabetes represent a high-risk financial-toxicity phenotype despite frequent healthcare contact.

The US spends more on health care than any other nation, yet tens of millions of Americans are uninsured or underinsured, and coverage retractions enacted in 2025 are widening these gaps. The misalignment between the for-profit insurance architecture and optimal patient care, together with the inefficiencies of a fragmented system, contributes to both unnecessary costs and preventable mortality. We update our previous analyses with the most recent data to project the economic benefits and the number of lives saved that would be achieved by single-payer universal coverage, as proposed in the Medicare for All Act. We estimate that such a system would reduce national health expenditure by $1,041 billion annually. Sources of savings include reductions in administrative overhead, pharmaceutical prices, fraudulent billing, and avoidable emergency care. Combined with the reversal of recent retractions, universal coverage would save over 114,000 lives annually.

Despite known carcinogenic properties, indoor tanning remains popular among young adults and may contribute to early-onset melanoma. Our study aims to compare early-onset melanoma incidence by state availability of tanning beds. We analyzed population-based melanoma incidence data (2019-2023) from the National Program of Cancer Registries and calculated Incidence Rate Ratios (IRR) using verified state-level quintiles of tanning bed availability. Overall, in the Midwest/South regions, melanoma incidence increased with greater tanning-bed availability, from 8.7 cases per 100,000 population in Quintile 1 to 14.8 cases per 100,000 population in Quintile 5 (IRR = 1.69; CI = 1.65-1.74). No such relationship was found in the Northeast/West regions. In conclusion, we found that in Southern and Midwest states, increased availability of tanning beds was associated with higher early-onset melanoma in non-Hispanic White males and females, in both metro and non-metro counties. Policies which reduce tanning bed availability in high utilization regions may have potential to reduce early-onset melanoma.

Objective: To determine whether and to what extent hospitals across the United States vary in their use of late-preterm steroids using a novel data set in which the timing of steroid administration relative to delivery can be observed. Methods: This was a retrospective cohort study of singleton births with known gestational ages identified in the Premier Healthcare Database from 2015 to 2022. The primary variable of interest was hospital-level adoption of antenatal corticosteroids for late-preterm singleton deliveries, calculated as the proportion of late-preterm singleton births (34-36 completed weeks of gestation) with any betamethasone exposure during the same late-preterm period. Hospital adoption was defined as the weighted average rate of ALPS administration among late-preterm infants across the entire post-period. Hospitals were ranked by their late-preterm steroid adoption rates and categorized by quartile based on the empirical distribution. Temporal trends were assessed using annual hospital-level adoption rates and visualized using time-series plots and distributional plots. A logistic regression model was constructed to determine hospital characteristics associated with being a highest-quartile adopting hospital. Results: The analysis cohort included 728 hospitals and 5,452,791 births, of which 361,006 (6.6%) were singleton late preterm births. Hospital steroid exposure rates ranged from 0 to 82% and were categorized into quartiles based on overall exposure rate, with cutoffs at 20.6%, 29.8%, and 40.1%. Median exposure rates increased progressively across quartiles from 14.1% (IQR 9.3-17.4%) in the lowest adopting hospitals (Q1) to 47.6% (IQR 43.7-53.2%) in the highest adopting hospitals (Q4), with substantial within-quartile variation. In the multivariable model, urban location was a strong predictor of high adoption after adjustment (aOR 2.05; 95% CI 1.11-3.83, p=0.02). Compared to Midwest hospitals, Southern hospitals had significantly lower odds of being high adopters (aOR 0.37; 95% CI 0.20-0.69, p<0.01). Among clinical case mix variables, a higher proportion of late preterm births at 34 weeks' gestation was strongly associated with high adoption (aOR 2.21; 95% CI 1.58-3.14, p<0.001). Conclusion: Following publication of the ALPS Trial, there was heterogeneous adoption of late preterm steroids among US hospitals. These findings highlight the need for a more in-depth exploration of local factors that drive the adoption of evidence-based practices outside of observable hospital characteristics.

Background: Major soccer tournaments may temporarily change recreational soccer activity, community gatherings, and injury-prevention needs, but evidence for population-level emergency department (ED) injury patterns during these events is limited. Understanding whether ED-treated soccer injury burden changes during Men's FIFA World Cup periods may help inform surveillance readiness and prevention planning for future tournaments. Objective: To evaluate whether Men's FIFA World Cup tournament periods temporally coincided with changes in ED-treated soccer-coded injury burden in the United States and to assess the implications for public health surveillance and injury-prevention preparedness. Methods: We conducted a retrospective, repeated cross-sectional calendar-period analysis of publicly available national ED injury surveillance records from 1999 through 2025. Soccer-coded injuries were identified using product code 1267 in any available product field. The primary exposure was the set of official Men's FIFA World Cup tournament dates from 2002, 2006, 2010, 2014, 2018, and 2022. Tournament dates were compared with matched same-calendar dates in adjacent years, excluding dates that overlapped other FIFA World Cup tournament windows. The primary estimands were the mean daily difference and ratio in weighted national ED-treated soccer-coded injury estimates between tournament and matched-control periods. Results: The analytic cohort included 170,679 soccer-coded ED cases, corresponding to an estimated 5,366,681 ED-treated soccer-coded injuries nationally. Mean daily weighted estimates were 453.1 during Men's World Cup tournament dates and 384.1 during matched control dates. The absolute mean daily difference was 68.9 injuries per day (95% CI, -0.5 to 138.3), and the mean daily ratio was 1.18 (95% CI, 1.00 to 1.39). Tournament-specific estimates were heterogeneous, with a near-null estimate for the 2022 winter tournament and higher estimates for prior summer tournaments. Conclusions: Men's FIFA World Cup periods were associated with a modest, imprecise increase in mean daily ED-treated soccer-coded injury estimates, but the findings were heterogeneous and compatible with no difference to a moderate increase. These results should be interpreted as ecological and hypothesis-generating rather than causal. The primary implication is not that World Cup tournaments directly cause injuries, but that major soccer events provide a practical opportunity for real-time ED injury surveillance, targeted recreational soccer injury-prevention messaging, concussion awareness, and coordinated preparedness for community and fan-event injury patterns during future tournaments.

Importance: The 2026 public charge rule could discourage immigrants from accessing health coverage programs, creating a chilling effect that potentially leads to negative health outcomes; However, its long-term health impact is poorly understood. Objective: To model potential impacts of the 2026 public charge rule on primary care and premature mortality among immigrants in New York City (NYC). Design, Setting, and Participants: The simulation used a deterministic compartmental model with Ordinary Differential Equations (ODEs) using 2023 NYC Vital statistics data and American Community Survey, and estimates obtained from 2 previous studies about effects of healthcare access on primary care and Medicaid expansion on premature mortality. Main Outcomes and Measures: Rates of primary care outcomes (access, doctor's visits) in 5 years, and premature mortality in 5 and 20 years, projected by the model under conservative, moderate, and aggressive scenarios of avoidance/disenrollment due to the public charge rule, known as the 'chilling effect'. Effects of the avoidance/disenrollment on primary care outcomes and premature mortality were obtained from 2 previous studies. Projected rates of the outcomes under each scenario were compared with counterfactuals to estimate the health impacts of the chilling effect. Results: Implementation of the public charge rule was projected to decrease the primary care access rate by 4.1% (conservative) to 9.9% (aggressive) over 5 years, relative to the counterfactual scenario without the rule. The rate of doctors' visits was projected to decrease over 5 years by 5.1% (conservative) to 12.2% (aggressive). Premature mortality was projected to increase by 4.4% (conservative) to 10.6% (aggressive) in 5 years and 7.4% (conservative) to 17.4% (aggressive) in 20 years. Legal noncitizens and Black immigrant New Yorkers were predicted to experience higher burdens of premature mortality attributed to the chilling effect, compared with other immigrant groups and racial/ethnic groups, respectively. Conclusions and Relevance: This study demonstrates adverse health consequences of federal public charge rule changes among immigrants in NYC. The model projected a decrease in primary care visits and increase in premature mortality across various scenarios. These findings suggest urgent reconsideration of a regulatory change that disproportionately increases risk of premature mortality among immigrants in NYC.

Septic shock caused by fungal organisms is characterized by high mortality and diagnostic complexity. We used the Premier Healthcare Database to characterize antifungal use and fungal diagnoses among adults with septic shock requiring vasopressors admitted between October 2022 through July 2024. Among 12.8 million admission at 886 hospitals, 554,948 met septic shock criteria and were included for analysis. A fungal diagnosis was established in 11,405 (2.1%) of encounters; of these, 3,565 (31.3%) received intravenous antifungal therapy within one day of vasopressor initiation. In the overall cohort, antifungal therapy was initiated in 29,824 (5.5%) within one day of vasopressor initiation; of these, 3,656 (12.2%) were ultimately diagnosed with a fungal infection. In the 116 hospitals reporting microbiological data, a subgroup of 489 encounters with septic shock and culture-confirmed candidemia was identified. In this subgroup, intravenous antifungal therapy was initiated in 43.8% within one day, 63.8% within three days, and 78.9% within seven days. These findings highlight a profound decoupling between fungal diagnosis and treatment--few patients receiving antifungals were diagnosed with an infection that would be treated by these agents, while less than half of patients with septic shock and candidemia received timely treatment. Strategies for greater precision in empiric antifungal use in septic shock are needed to improve safety, stewardship, and outcomes.

Objective To identify optimal initiation ages and screening intervals for low-dose computed tomography (LDCT) screening among never-smoking Asian women using an integrated polygenic risk score (PRS)-environmental tobacco smoke (ETS) risk model, and to evaluate the cost-effectiveness of alternative screening strategies at these optimized ages. Design Integrated PRS-ETS microsimulation modelling. Setting Japan. Participants Never-smoking women stratified into eight risk groups defined by combinations of PRS levels and ETS exposure. Interventions LDCT screening at intervals of 1 to 10 years, annual chest radiography (CXR), or no screening. Main outcome measures Costs, quality-adjusted life years (QALYs), incremental cost-effectiveness ratios (ICERs), net monetary benefits, lung adenocarcinoma incidence and mortality, and optimal LDCT initiation ages. Sensitivity analyses used a willingness-to-pay threshold of US$50,000 per QALY gained. Results Optimal initiation ages ranged from 40 to 55 years across the eight PRS-ETS risk groups, with higher PRS-ETS risk associated with younger optimal initiation ages. Annual LDCT was the most cost-effective strategy across all PRS-ETS risk strata, yielding an ICER of US$40,471 per QALY in the lowest risk stratum and becoming cost-saving in higher risk strata. Over a lifetime, annual LDCT averted 8,534 lung adenocarcinoma deaths compared with annual CXR and 14,940 deaths compared with no screening. Conclusions Tailoring LDCT initiation age across integrated PRS-ETS risk groups maximizes mortality reduction achievable with cost-effective annual LDCT screening among never-smoking Asian women. These findings highlight an urgent limitation of global lung cancer screening guidelines that rely exclusively on smoking history and provide policy-ready evidence supporting the integration of PRS and ETS into future recommendations for precision LDCT screening for never-smoking populations.

Importance. Large language models (LLMs) increasingly inform mental health decisions by patients and clinicians. Inference-time activation steering can shift model behavior on a target dimension without altering weights or prompts and without disclosure to users, allowing treatment recommendations to be silently changed for commercial or ideological reasons. Objective. To determine whether directional activation steering can shift an open-weights LLM's depression treatment recommendations. Design, Setting, and Participants. This non-human subjects study applied directional activation steering to an open-weights LLM (DeepSeek V4 Flash) responding to 12 depression-advice scenarios (4 favoring medication, 4 favoring avoidance, 4 neutral), generated at 30 amplitudes from -1.5 to +1.5 in 0.1 increments plus an unsteered baseline. Exposures. A single steering direction contrasting antidepressant medication with self-directed approaches (diet, exercise, meditation, dietary supplements), constructed from 16 paired training prompts and applied at the attention output of every transformer block; weights and system prompt were held constant. Main Outcomes and Measures. The extent to which medication and four self-care categories were addressed, scored 0 to 3 by a human-validated LLM rater (Claude Opus 4.7), the medication-versus-self-care balance, and clinician referral, estimated per unit of amplitude using mixed-effects models with a scenario random intercept. Results. Across 372 generations, steering produced a graded, dose-dependent shift in the medication-versus-self-care balance, which declined by 0.32 per unit of amplitude (beta=-0.32; 95% CI, -0.39 to -0.25; P < .001); medication extent fell and self-care extent rose. The shift was largest for scenarios with no stated treatment preference (beta = -0.44; 95% CI, -0.54 to -0.34; P < .001). A clinician referral appeared in 322 of 372 responses (87%) and did not vary with steering amplitude (P = .63). Conclusions and Relevance. In this open-weights LLM providing depression treatment information, inference-time activation steering shifted treatment recommendations without altering weights, prompt structure, or safety outputs, with the largest effect among users expressing no treatment preference. These findings suggest a need for LLM disclosure standards and independent auditing as such models inform clinical decisions.

Importance: Religious vaccine exemptions remain central to debates over school-entry immunization mandates, but evidence on exemption repeal outside outbreak-driven policy responses and across communities with different religious contexts remains limited. Objective: To estimate changes in kindergarten vaccination coverage associated with Connecticut's 2021 repeal of religious vaccine exemptions, examine variation by school type and local religious congregation density, and compare trends with states that retained exemptions. Design/Setting/Participants: Interrupted time series analysis using kindergarten vaccination data from 2012-2025. Vaccine coverage trends in Connecticut were compared to Arizona, Louisiana, and Oregon, which retained religious exemptions during the study period. Intervention: The intervention studied was Public Act 21-6, which eliminated religious vaccine exemptions from school-entry immunization requirements. Main Outcomes and Measures: Outcomes included annual coverage for measles-mumps-rubella (MMR), varicella, diphtheria-tetanus-acellular pertussis (DTaP), polio, and hepatitis B vaccines. Models estimated pre-policy trends, immediate level changes, and post-policy slope changes. Analyses were stratified by public and private schools and by county-level religious congregation density. Results: Before policy implementation, kindergarten vaccination coverage in Connecticut declined across all vaccines by 0.16-0.20% per year (p < 0.001). Repeal of the religious exemptions occurred during a period of increasing religious congregation density and was associated with improved school-entry vaccination coverage, with annual coverage increasing 0.88-1.02% per year (p < 0.001). Coverage increased in both public and private schools, with larger post-policy gains in private schools. Coverage increases did not differ significantly between high- and low-religiosity counties. In segmented regression analyses, Connecticut's post-policy MMR slope was significantly higher than those of Arizona, Oregon, and Louisiana by 1.36, 1.71, and 1.15 percentage points per year, respectively (p < 0.001). By 2024/25, Connecticut MMR coverage reached 98.2%, exceeding coverage in comparison states by 5.6-9.6%. Cumulatively, the model-estimated policy impact represented an estimated 2,579 additional kindergarteners immunized against MMR compared with the no-policy counterfactual. Conclusions and Relevance: Connecticut's repeal of religious vaccine exemptions was associated with increases in kindergarten vaccination coverage across public and private schools, independent of local religious congregation density. These findings suggest that removal of religious vaccine exemptions may be an effective policy approach to improve childhood immunization coverage.

ABSTRACT Background: Despite its high prevalence and established impact on women's health, the long-term biological effects of Intimate Partner Violence (IPV) remain poorly understood. In particular, its potential role in increasing cancer risk has received limited attention. This review examines whether IPV may be associated with elevated cancer risk in women. Methods: We conducted a systematic review and meta-analysis in accordance with PRISMA and MOOSE guidelines to evaluate whether IPV may be associated with cancer risk. Eligible studies included adult women ([&ge;]18 years) with documented IPV exposure and cancer or precancerous outcomes. We searched PubMed, Web of Science, Scopus, and Google Scholar for articles published from 2000 to 2025. Study quality was assessed using the Newcastle-Ottawa Scale (NOS). A random-effects meta-analysis was performed on longitudinal studies reporting adjusted risk estimates. Results: Thirteen studies were included in the qualitative synthesis, but only two met criteria for meta-analysis, both reporting on cervical cancer. The pooled odds ratio was 3.00 (95% CI: 2.05 - 4.38; I2 = 0%). A separate pooled prevalence analysis of six retrospective studies showed that 32.2% of women with cancer reported a lifetime history of IPV. Study quality ranged from low to high. Conclusions: This review underscores the limited and heterogeneous nature of the existing evidence on IPV as a potential cancer risk factor. While preliminary findings suggest a possible association, particularly with cervical cancer, the scarcity of high-quality longitudinal studies and the methodological variability in the studies reviewed prevent definitive conclusions regarding causal linkage. Further research, particularly prospective and mechanistic studies, is needed to clarify the relationship between IPV and oncogenesis across different cancer types and to identify underlying biological pathways.

Purpose: Lung cancer screening (LCS) with low-dose computed tomography (LDCT) reduces lung cancer mortality, yet screening participation remains low. We evaluated whether a brief informational video nudge delivered immediately before a scheduled clinical encounter increased LCS ordering and baseline LCS completion. Patients and Methods: We conducted a randomized feasibility trial within Kaiser Permanente Colorado from March through October 2025. LCS-eligible patients with an upcoming primary care or pulmonology appointment were assigned to intervention or usual care based on birth month. Intervention patients were split into two group, a group who received the LCS informational video nudge via text message within 24 hours of an eligible appointment; and second group who received the text plus a QR code video link during appointment rooming. Outcomes included LCS orders, baseline LCS-LDCT completion, and video engagement. Multivariable logistic regression was used to evaluate factors associated with LCS ordering. Results: Among 1,093 patients, 549 were assigned to intervention and 544 to usual care. Intervention patients were more likely to receive an LCS order within 1 day of their appointment (22.6% vs 16.4%; p=.010) and any time during follow-up (32.6% vs 24.1%; p=.002). Baseline LCS-LDCT completion was 51% higher in the intervention group, although the difference was not statistically significant (8.6% vs 5.7%; p=.078). Among the intervention group, 93 individuals (17%) viewed the video, generating 114 total views, and viewers watched an average of 79% of the video. Most views (82.5%) occurred through text-message delivery rather than QR codes. Conclusion: A brief, low-burden LCS informational video delivered immediately before a clinical encounter and integrated into existing workflows significantly increased LCS ordering and was associated with higher screening completion. Timely, scalable digital nudges may provide an effective strategy for improving LCS participation. Based on the observed effectiveness, feasibility, and efficiency of the intervention, KPCO incorporated the behavioral nudge into standard clinical care in February 2026.

Purpose: Population-level lung cancer screening programs require denominators that reflect age, smoking history, geography, and changing eligibility over time. We estimated annual prevalent and 20-year cumulative unique low-dose computed tomography screening eligibility for Maryland residents under alternative screening criteria. Methods: We built a deterministic cohort-cell stock-flow simulation using Maryland county-equivalent jurisdiction projections by age, sex, and race/ethnicity, with ACS socioeconomic/nativity covariates and smoking-history priors for ever-smoked status, pack-years, and quit-years. Scenarios included USPSTF 2013 legacy, USPSTF 2021, ACS 2023/2024, a risk-model-expanded sensitivity, and ever-smoked-only capacity stress tests. Cumulative unique eligibility counted people once at first eligibility rather than summing annual prevalent person-years. Results: Under USPSTF 2021, an estimated 238,346 Maryland residents were eligible in 2026 and 245,326 in 2045. The 20-year cumulative unique denominator was 768,668, whereas naively summing annual prevalent counts produced 4,850,735 person-years, a 6.31-fold overcount. ACS 2023/2024 expanded annual eligibility to 314,616 in 2026 and cumulative unique eligibility to 902,796 by adding remote former smokers. Ever-smoked-only adult eligibility was 1,957,699 in 2026 and 3,383,683 cumulative unique over 20 years. Conclusion: A Maryland statewide screening initiative should plan from cumulative unique eligibility and county-equivalent jurisdiction-specific burden rather than annual prevalence alone. Explicit pack-year and quit-year modeling materially changes statewide and county allocation compared with current-smoking proxy models.

Evidence on vaccine effectiveness (VE) of 2025-26 COVID-19 vaccines is limited. We estimated VE of BNT162b2 LP.8.1-adapted vaccine among non-immunocompromised adults [&ge;]65 years through December 2025 using linked claims and immunization registry data from two U.S. states. VE against COVID-19-related ED/UC encounters was 48% (95% CI:19, 66).

Objective: Genomic research using electronic health record (EHR)-linked biobanks is influenced by heterogeneity in the clinical settings (care sites) where encounters occur. We developed two methods leveraging care site data: ClinicScan identifies where phenotype documentation occurs, and ClinicWAS identifies specialty utilization patterns associated with a risk factor. Materials and Methods: We extracted care sites for each clinical encounter at an academic medical center and mapped each to a clinical specialty. ClinicScan summarizes the specialty distribution of a user-specified diagnosis; ClinicWAS fits a logistic regression for each care site to identify specialty encounters associated with a user-specified risk factor. We applied ClinicScan to depression to test whether requiring a psychiatry encounter strengthened the association between a polygenic risk score (PRS) and a depression phenotype, and ClinicWAS to a coronary heart disease (CHD) PRS to identify sites enriched for high-risk patients. Results: Across 64,983,257 encounters, 2,544 care sites mapped to 57 specialties. Most depression diagnoses occurred in primary care (30.3%) and psychiatry (19.8%). Requiring a psychiatry encounter strengthened the PRS-phenotype association (OR=1.30, 95% CI 1.26-1.35) versus two or more diagnosis codes alone (OR=1.21, 95% CI 1.19-1.24). CHD ClinicWAS identified 19 associated care sites, including 5 catheterization labs. Men and women with high genetic risk (PRS[&ge;]95th percentile) underwent catheterization for CHD 3.1 (1.5-4.6) and 4.6 (2.5-6.7) years earlier than normal-risk participants, respectively. Discussion: Care site data capture phenotype heterogeneity that otherwise distorts EHR-based phenotypes and obscures high-risk subpopulations. Conclusion: Clinical care site data are an under-utilized resource in EHR-linked biobanks.

Stigmatizing language in medical documentation may reflect and perpetuate bias, but its prevalence in obstetrics has not been systematically quantified. We applied a keyword-guided BERT classifier to 640,345 obstetric notes from 26,178 pregnancies at an academic medical center. Stigmatizing language was detected in 47% of 26,178 pregnancies. Black pregnancies had significantly higher odds of stigmatizing language compared with Asian (aOR=1.5, p=3x10-8) or White (aOR=1.4, p=6x10-6). Indicated and spontaneous preterm births were also significantly associated with stigmatizing language compared to term (aORs=1.5, 1.2; p=7x10-12, 0.01). Pregnant individuals with only 12th-grade maternal education were more likely to experience stigma than those with college (aOR=1.5; p=4x10-14). These findings provide evidence of differences in clinical documentation across race, education levels, and clinical conditions. They also demonstrate how automated natural language processing can enable systematic monitoring of bias in healthcare language at scale.