Preventive Medicine Reports

BackgroundArticle 5.3 of the WHO Framework Convention on Tobacco Control requires Parties to protect policies from tobacco industry interference, yet implementation remains weak internationally. Aotearoa New Zealands (Aotearoa NZ) is seen as a leader in tobacco control, yet little is known about its implementation of Article 5.3 protections. This study examines these protections as well as existing transparency measures in light of the 2024 repeal of world-leading tobacco control policies. MethodsInterviews with current and former: public health experts, politicians, officials and political journalists, and analysis of key texts. ResultsAotearoa NZs Article 5.3 implementation and scope is constrained, leaving invisible and exploitable paths of influence. Public health experts argued protections have been neglected from the start. Politicians were unaware of Article 5.3 obligations, and reported limited guidance on industry interactions. These gaps are compounded by non-existent lobbying laws and ill-equipped transparency measures. ConclusionDespite the countrys reputation for strong tobacco controls, structural policy and implementation failures leave Aotearoa NZs health policies vulnerable to industry interference. Aotearoa NZ and other Parties should consider institutionally embedding comprehensive Article 5.3 protections to safeguard policy decisions from tobacco industry influence. WHAT THIS PAPER ADDSO_ST_ABSWhat is already known on this topicC_ST_ABSTobacco industry interference remains the biggest barrier to tobacco control policies, with evidence consistently identifying gaps in Parties implementation of Framework Convention on Tobacco Control Article 5.3 protections. Parties often rely on pre-existing measures such as lobbying laws. What this study addsThis is the first study examing Aotearoa NZs implementation of Article 5.3. It shows that despite its reputation as a tobacco control leader, implementation is severely limited and pre-existing measures are inadequate, enabling a system in which industry interference can go on unseen. How this study might affect research, practice or policyBy identifying how structural policy gaps enable industry interference, this study highlights the need for comprehensive institutional embedding of Article 5.3 protections across government, and consideration of its codification into law.

OBJECTIVEOpioid misuse exacts a tremendous toll on society. Mindfulness-Oriented Recovery Enhancement (MORE) is an efficacious treatment for opioid misuse. Yet, the cost-effectiveness of this intervention remains unknown. METHODSCost-effectiveness and cost-benefit analyses of a randomized clinical trial with enrollment of 250 adults with chronic pain prescribed long-term opioid therapy who were misusing opioids. Participants were randomized to MORE (training in mindfulness, reappraisal, and savoring positive experiences) or supportive group psychotherapy across 8 weekly 2-hour groups. Incremental cost-effectiveness ratios (ICER) and benefit-to-cost ratios (BCRs) were computed using the primary outcome of opioid misuse at 9-month follow-up, as assessed by a composite measure based on self-report, clinical interview, and urine screen. RESULTS250 randomized patients (64.0% female) had an average age of 51.8 years (SD=11.9), were mostly taking oxycodone or hydrocodone (69%), and had mean morphine equivalent opioid dose of 101.0 (IQR=74) mg. At 9-mo. follow-up, the difference in the probability of having a positive Drug Misuse Index (DMI) rating was 0.24 (0.54 for MORE participants vs. 0.78 for controls). The ICER of MORE relative to supportive psychotherapy was $116.3 per averted case of opioid misuse, $8.9 per life-year, and $8.0 per quality-adjusted life-year. MORE is cost-saving vs. supportive psychotherapy after adjusting for healthcare costs. Excluding all benefits associated with averting fatal overdoses results in a BCR of 84.2. CONCLUSIONSGiven MOREs cost-effectiveness, private and public payers should consider disseminating this evidence-based therapy broadly across the nation to reduce mortality and morbidity associated with the ongoing opioid crisis. HIGHLIGHTSO_LIMindfulness-Oriented Recovery Enhancement (MORE) substantially reduced opioid misuse among adults with chronic pain on long-term opioid therapy. C_LIO_LIMORE was highly cost-effective vs. supportive psychotherapy, costing $116 per averted opioid misuse case, and MORE was cost saving when accounting for healthcare costs associated with opioid misuse. C_LIO_LIFindings suggest wide dissemination of this evidence-based treatment could yield major healthcare and other economic benefits in addressing the opioid crisis. C_LI

Large language models (LLMs) are increasingly used for qualitative analysis in substance use research, yet their performance relative to human coders remains underexplored. This study compares ChatGPT-4.0 with human coders in identifying and describing the core innovation of NIH grants focused on reducing opioid overdose. A total of 118 NIH HEAL Initiative grant abstracts were independently coded by ChatGPT and humans to generate innovation descriptions, which were then evaluated by both human raters and ChatGPT for depth/detail and relevance/completeness using 5-point Likert scales. Identical instructions were used across all coding and evaluation stages. ChatGPT-generated descriptions were consistently rated higher than human-generated descriptions on both dimensions. Human evaluators rated ChatGPT outputs at an average of 4.47 for both depth/detail and relevance/completeness, compared to 3.33 and 3.24 for human outputs, respectively (F(1,176)=133.9, p<0.001). These findings suggest that LLMs, when carefully prompted, can enhance the efficiency and quality of qualitative research evaluation.

ObjectivesTo examine associations between cardiometabolic conditions and health-related quality of life (HRQoL) and to evaluate whether condition-associated HRQoL changed from 2001 to 2022. MethodsWe analyzed nationally representative data from U.S. adults aged [&ge;]18 years in the Medical Expenditure Panel Survey, 2001-2022. Survey years without BMI data (2017, 2019, 2021) were excluded. EQ-5D utilities were mapped from SF-12 scores using a validated algorithm. For each survey year, survey-weighted multivariable regression models estimated associations of sociodemographic characteristics, BMI, and cardiometabolic conditions (diabetes, heart disease, high blood pressure, high cholesterol, obesity, stroke) with HRQoL measured by EQ-5D. Temporal changes in condition-associated HRQoL decrements were assessed using meta-regression across years. Associations in recent survey years were summarized using pooled estimates from 2015, 2016, 2018, and 2022. ResultsOverall HRQoL improved from 2001 to 2022 across age groups, with the largest improvement among older adults. In pooled analyses, stroke was associated with the largest adjusted HRQoL decrement (-0.0714), followed by heart disease (-0.0503), diabetes (-0.0427), high blood pressure (-0.0328), obesity (-0.0305), and high cholesterol (-0.0236). Additional adjustment for BMI attenuated condition-associated decrements, most notably for obesity (-0.0305 to -0.0183), diabetes (-0.0427 to -0.0414), and high blood pressure (-0.0328 to -0.0316). Over time, diabetes- and heart disease-associated decrements attenuated linearly (diabetes: - 0.0489 in 2001 to -0.0406 in 2022; heart disease: -0.0591 to -0.0493). High blood pressure (-0.0337 in 2001, -0.0415 in 2012, -0.0306 in 2022) and obesity (-0.0305 in 2001, -0.0283 in 2012, -0.0367 in 2022) showed nonlinear patterns. ConclusionsCondition-associated HRQoL decrements varied over time, and recent-year utility estimates are recommended for population health research. HRQoL decrements for diabetes and heart disease attenuated, consistent with improvements in treatment and survival. High blood pressure-associated were lowest around 2012, and obesity-associated became more negative after 2012, consistent with worsening blood pressure control and obesity severity.

ObjectiveThe study aimed to analyze factors associated with cotinine levels as an early risk indicator for chronic diseases and students readiness to quit smoking in Praya Barat District. MethodsThis study used a cross-sectional design involving 563 high school students in Praya Barat District. Data analysis was performed using the Chi-square test and multiple logistic regression to identify determinants of high cotinine levels. ResultsA total of 67% of subjects had high cotinine levels, indicating high levels of nicotine exposure among students. The results of the analysis showed that the main determinants of high cotinine levels were cigarette consumption of [&ge;]5 cigarettes/day (AOR=2.426; 95% CI=1.534-3.838; p<0.001), male gender (AOR=2.100; 95% CI=1.358-3.250; p=0.001), family members who smoke (AOR=2.149; 95% CI=1.359-3.399; p=0.001), rarely of exercise (AOR=2.155; 95% CI=1.350-3.440; p=0.001), and personal history of chronic disease (AOR=2.646; 95% CI=1.653-4.234; p<0.001). Meanwhile, willingness to participate in a smoking cessation program did not show a significant relationship (p=0.093). ConclusionsMost students showed high cotinine levels, indicating significant exposure to nicotine and a potential risk of chronic disease in the future. The most influential factors were active smoking behavior, a family environment of smokers, and low levels of physical activity.

ObjectiveTo examine racial and ethnic inequities in wealth and health among New York City adults. MethodsWe conducted the 2024 NYC Racial Wealth and Health Gap Survey using a stratified quota sample of 2,866 adults across 11 racial and ethnic groups. Wealth was measured through self-reported assets and debts, and health through self-reported status and psychological distress. We calculated descriptive statistics across groups and used quantile regression to test for significant differences in assets and debts compared with White respondents. ResultsWhite and Chinese respondents reported the highest median net worth ($142,000 and $320,000), while Other Black and Puerto Rican respondents reported the lowest ($25 and $160). Lower wealth was associated with poorer health and higher psychological distress. Prevalence of excellent or very good health increased from 36% in the lowest wealth quartile to 59% in the highest, with the steepest wealth-health gradients among Chinese and Multiracial respondents. ConclusionWealth inequities are linked to health disparities across racial and ethnic groups in New York City. Surveillance of local wealth data can guide equity-focused policies addressing economic and racial drivers of health disparities.

ObjectivesPeople impacted by the criminal-legal system face significant challenges to securing and sustaining permanent housing. This study was designed to assess housing outcomes of an integrated intervention that offered housing, medical, and behavioral health services to individuals with criminal-legal system involvement. MethodsAfter a baseline needs assessment, participants were linked to services and completed quarterly study visits for up to 12 months. We used descriptive statistics to assess frequency and multivariate logistic regression to assess correlates of being housed at last follow-up. ResultsBetween June 2019 and November 2023, 187 participants were enrolled in Project CHANGE from an area with high incarceration and overdose rates. At baseline, 43% of participants were unstably housed, 37% were homeless, and the remaining resided in a shelter or institution. At the time of last follow-up, 49 participants (26.2%) reported improved housing outcomes, and an additional 121 participants (64.7%) housing situation did not worsen. In multivariate models, individuals who were older (AOR 1.1; 95% CI 1.0-1.1), unstably housed at baseline (AOR 7.2; 95% CI 3.3-16.0), and enrolled in the study for longer (AOR 1.1; 95% CI 1.1-1.3) had higher odds of being housed at last follow-up, whereas those with high severity substance use had lower odds of being housed (AOR 0.3; 95% CI 0.1-0.6.) ConclusionsIn this comprehensive program, integrated housing/health services were time- and cost-intensive to deliver but led to positive housing outcomes. People involved in the criminal-legal system face unique barriers to housing, particularly when compounded by substance use.

Abstract/SummaryFinancial exploitation of older adults is an increasingly prevalent public health concern, yet few have characterized fraud prevalence longitudinally or evaluated whether financial exploitation vulnerability measures prospectively predict fraud outcomes. Using data from the Health and Retirement Study, we examined fraud prevalence across a 14-year period and tested whether the Perceived Financial Vulnerability Scale (PFVS) predicts subsequent fraud victimization among older adults. Fraud prevalence increased steadily over time, rising from 5.0% in 2008 (347 of N=6,920) to a peak of 10.2% in 2022 (448 of N=4,380). Higher PFVS scores measured in 2018 were associated with greater odds of fraud victimization reported in 2022 (OR=1.62, 95% CI [1.25-2.15], p<.001). Most individuals who later reported fraud fell within the highest group of PFVS scores up to five years earlier. Together, these findings highlight financial exploitation as an emerging aging-related vulnerability and support the PFVS as a brief indicator of future fraud risk.

The ubiquitous use of digital tools may be beneficial for improving physical activity across diverse populations. It remains unknown however, how publicly available, cost-free physical activity apps adhere to behaviour change techniques, and how users rate these apps. To explore the number of publicly available physical activity apps and relationships among behaviour science techniques, subjective quality, and user ratings. Exploratory content analysis of 17 apps meeting inclusion criteria. The App Behaviour Change Scale (ABACUS) and Mobile App Rating Scale (MARS) were used to code each downloaded app for behaviour change techniques, app functionality, and subjective quality. App store user ratings were also collected along with descriptive data about each app. All apps were commercially affiliated, targeted adult populations, and centered on changing behaviour, setting goals, and addressing physical health. No apps addressed all 21 ABACUS items; apps included 12.8 {+/-} 2.4 indicators, ranging from 8-18 indicators. The three most common ABACUS indicators were: i) collection of baseline information, ii) instructional PA content, and iii) ability for app to give user feedback. The three least common ABACUS indicators were: i) ability to export data, ii) consequences for physical activity dis/continuance, and iii) allows for planning of barriers. No apps included all 12 MARS focus areas; 94.1% of apps allowed goal setting, 58.8% addressed physical health, and 41.2% included a mindfulness focus. Linear regressions explored relationships for app user ratings; aggregated MARS domains accounted for 54% of the variance. Publicly available physical activity apps may be a useful approach to improving physical activity uptake and adherence among harder-to-reach populations including low socioeconomic status groups. App developers should consider incorporating more behaviour change techniques within cost-free apps to improve user uptake and ultimately improve physical activity associated health outcomes. Author SummaryDigital technology proliferates all facets of life and populations, and may contribute to improved health behaviours including physical activity. However, access to supportive technology may be limited by cost for example, as many popular physical activity apps require paid subscriptions. It is unknown whether cost-free physical activity apps adhere to behaviour change recommendations and how these apps are rated by users. This research explored cost-free, publicly available physical activity apps and their respective relationships with behaviour change techniques as well as app-store user ratings. Only 17 apps met inclusion criteria, and were compared against one behaviour change scale and one app quality scale. All apps had commercial motivations and focused on physical activity for adult populations. Most commonly, apps collected user info at baseline, provided physical activity instructional content, and provided feedback to users. Apps were generally rated positively by users based on app-store star ratings. Cost-free physical activity apps may be useful tools for users looking to improve physical activity for individuals who are limited by their socioeconomic situation. However, greater emphasis on evidence-based behaviour change approaches may be necessary to improve health outcomes for users.

Many Asian American (AA) subgroups experience disproportionate rates of cardiometabolic (CMB) conditions, yet the contextual drivers of these disparities remain unclear. Little is known about the role of Asian residential segregation, often conceptualized as Asian enclaves, with limited prior work largely ignoring region of origin and nativity. Using six years of population-based survey data from New York City (N>6,000 AAs) linked with multiple sources of community data, we examine how residence in ethnicity-specific enclaves relates to CMB risks (obesity, hypertension, and diabetes), whether these associations differ by nativity, and the extent to which neighborhood socioeconomic conditions, the built environment, social cohesion, and institutional support account for observed associations. Our combined concentration-based and spatial clustering analysis identified five East Asian enclaves and six South Asian enclaves, with no geographic overlap between the two. Logistic regression analyses show that residence in an East Asian enclave was associated with lower odds of obesity (OR=0.63), while residence in a South Asian enclave was linked to higher odds of diabetes (OR=1.42) and hypertension (OR=1.46). These associations were present only among foreign-born individuals. After adjusting for neighborhood characteristics, the lower obesity risk in East Asian enclaves persisted, while elevated risks in South Asian enclaves were partly reduced. Both suggest a role for unmeasured enclave factors, including cultural and food environments. Our findings challenge the view that Asian enclaves are monolithically health-promoting and redirects scholarly attention toward disaggregated approaches to investigating AA health disparities.

We developed and validated a self-administered clinical vignette platform powered by a large language model (LLM), deployed through a SurveyCTO web survey, to measure primary health care provider competencies in Vietnam. In a pilot focus group, nine physicians rated LLM-simulated patient interactions as realistic (mean 3.78/5) and user-friendly. In the validation phase, 22 providers completed 132 vignette interactions across ten clinical scenarios in Vietnamese. Essential diagnostic checklist scores (human-coded from translated transcripts) correlated with expert clinician evaluations (Pearsons{rho} = 0.55-0.60). LLM-automated coding of checklist items from translated English transcripts correlated reasonably with human coding ({rho} = 0.53), and coding directly from Vietnamese transcripts performed comparably ({rho} = 0.51), suggesting that a separate translation step may not be necessary. The total cost of 132 chatbot interactions was under USD 2. LLM-driven conversational vignettes represent a low-cost and scalable method for assessing provider competencies in respondents local language, eliminating the need for extensive enumeration staffs while preserving the open-ended format critical to vignette validity, and additionally introducing flexible feature extraction from transcripts using grading rubrics. The platform is open-source and designed for replication in other health system contexts. Author summaryMeasuring the clinical skills of healthcare providers is essential for improving the quality of care, but current survey methods are expensive and require trained enumerators to travel to health facilities in person. We developed a new approach that uses large language models (LLMs) - the technology behind tools like ChatGPT and Claude - to simulate patients in realistic clinical conversations that healthcare providers can complete on their phones or laptops over the Internet in their own language. In Vietnam, we tested this tool with 31 physicians across ten clinical scenarios. Providers found the simulated patient conversations realistic and easy to use. We also tested whether LLMs could automatically score the conversations, which showed reasonable agreement with human scoring, and performed nearly as well when scoring directly from Vietnamese, without requiring a separate translation step. When we compared these results from our tool against holistic expert physician ratings of the same conversations, the scores agreed well, suggesting that automatic transcript grading based on rubrics produces meaningful measures of clinical skill. This tool costs less than two US dollars for over a hundred consultations and required no in-person surveyors, making it potentially transformative for routine, large-scale monitoring of healthcare quality in resource-limited settings. The platform and code are openly available for adaptation.

Background. Although health mediation is widely studied in the U.S. through community health worker programs, evidence on their effectiveness in promoting cancer screening in Europe is limited. Since 2022, the "13 en Sante" program has implemented a multicomponent health mediation intervention -combining educational activities, outreach strategies, and navigation support- in socioeconomically disadvantaged neighbourhoods of Marseille, France. This study evaluates the effectiveness of this program in promoting breast, colorectal, and cervical cancer screening. Methods. A controlled before-after design based on two cross-sectional surveys was conducted in 2022 and 2024 in intervention or control neighbourhoods. Individuals aged 18-74 were randomly selected and interviewed via door-to-door questionnaires. Weighting was applied to account for stratified sampling and to align age and sex distributions with census data. Weighted logistic regression models were fitted for each cancer screening to estimate the intervention's effects on uptake and awareness at both individual and population levels. Findings. Overall, 4,523 individuals were included across the two cross-sectional surveys. The program successfully reached individuals facing cumulative socioeconomic barriers to healthcare access. No significant population-level effect was observed. At the individual level, declared exposure to health mediation was associated with significantly higher uptakes of breast and colorectal cancer screenings (breast: 54% vs 74%, OR=2.3 [1.1-4.5]; colorectal: 30% vs 50%, OR=2.8 [1.3-5.8]). In addition, colorectal cancer screening awareness was significantly higher among exposed participants (83% vs 93%, OR=8.1 [2.1-31]). Interpretation. This study provides the first evidence that a multicomponent health mediation intervention could effectively promote breast and colorectal cancer screening in disadvantaged French neighbourhoods. The study highlights screening-specific mechanisms of action that should be considered to further optimize intervention effectiveness. Funding. The survey was funded by the Regional Health Agency of Provence-Alpes-Cote d'Azur and Sante publique France.

IntroductionTobacco smoking is especially high among males in the Kingdom of Saudi Arabia (KSA). In 2019, 27.5% of males ages 15+ reported smoking. Despite a minimum age requirement of 18 years, data indicate that 6.8% of youth ages 13-15 currently smoke tobacco products. To reduce youth smoking, countries have raised the minimum purchase age to 21, also referred to as Tobacco 21. Except for Kuwait, no other Middle Eastern country has done so. We develop a tobacco smoking simulation model to project the potential impact of a national Tobacco 21 policy in Saudi Arabia. MethodsWe used data from three nationally representative health surveys in Saudi Arabia to develop the KSA Tobacco Control Policy (TCP) model, estimating smoking initiation and cessation rates for males, as smoking rates are low among females. A national Tobacco 21 policy was operationalized as a 34% (15%-53%) reduction to smoking initiation for ages 18-20. Economic impact was evaluated using the 2024 KSA value of a statistical life which ranges from $1.65 million to $5.15 million USD. ResultsUnder a status quo scenario, tobacco smoking prevalence in males would decrease to 10.2% by 2100. Implementation of Tobacco 21 in 2026 would decrease smoking prevalence to 9.4% (8.9%, 9.8%) by 2100. While modest, these reductions would eventually translate into nearly 5000 (2200, 7800) premature deaths averted with up to 155000 (69000, 241000) life years gained from 2026-2100, respectively. The total expected economic benefit ranges from $1.67 to $5.19 billion USD, equivalent to 6.25 to 19.45 billion SAR. DiscussionTimely implementation would support the KSA in its goals to reduce non-communicable disease and death; however, even under best-case conditions, a Tobacco 21 alone would not achieve the Vision 2030 smoking prevalence target of 9%. Additional policies that substantially increase smoking cessation are needed. What is already known on this topicThe leading causes of death in Saudi Arabia are all linked to tobacco smoking. Tobacco 21 policies have been pursued by numerous governments to reduce youth smoking, but such policies are lacking in Middle Eastern nations. What this study addsA nationwide Tobacco 21 policy in Saudi Arabia would reduce smoking initiation, smoking prevalence, and smoking-related mortality. Overall smoking prevalence among males ages 15+ would decline, and nearly 5000 premature deaths would be averted with up to 155,000 life years gained from 2026-2100, valued at 6.25 to 19.45 billion SAR. How this study might affect research, practice or policyThis study quantified for the first time the potential long-term benefits of a Tobacco 21 policy in Saudi Arabia for the male population. A Tobacco 21 policy would benefit future generations of young people by reducing their risk for heart disease, stroke, and cancer, currently the leading causes of death in the nation. However, additional efforts are needed in addition to Tobacco 21 policies to achieve tobacco smoking reduction goals.

ObjectiveTo characterize associations between tattooing and health status. MethodsWe used data from [~]27,000 respondents to the 2020-2022 Utah Behavioral Risk Factor Surveillance System (BRFSS). Multivariable Poisson regression was used to calculate prevalence ratios (PR) and 95% confidence intervals (CI) associating ever receiving a tattoo with physical/mental health status. ResultsIn this cross-sectional study, ever receiving a tattoo was associated with self-reported "poorer" vs. "excellent" overall health, particularly among women (PR=3.08 [95% CI: 2.26- 4.21]). Tattooing was also associated with obesity (women, PR=1.40 [95% CI: 1.22-1.61]; men, PR=1.21 [95% CI: 1.04-1.40]) and chronic pain (women, PR=1.59 [95% CI: 1.43-1.77]; men, PR=1.55 [95% CI: 1.37-1.76]). Tattooed individuals were more likely to have been diagnosed with a depressive disorder (women, PR=1.64 [95% CI: 1.53-1.75]; men, PR=1.55 [95% CI: 1.39-1.73]) and to have had six or more teeth removed, vs. none (women, PR=2.18 [95% CI: 1.61-2.96]; men, PR=2.88 [95% CI: 2.10-3.95]). ConclusionsPublic health entities may consider partnering with tattoo studios and conventions to provide information about nutrition, exercise, dental care, mental health resources, and health screenings.

Objective To test the effectiveness of a postpartum behavioural intervention delivered by automated text messaging in reducing weight. Design Two parallel group, multicentre, randomised controlled trial. Setting Recruitment from five areas across the United Kingdom (Belfast, Bradford, Stirling, London and Cardiff) through healthcare and community pathways, including social media. Participants A diverse sample of 892 women between 6 weeks and 24 months postpartum, aged 18 years or more and with a body mass index of 25 kg/m2 or more, enrolled between May 2022 and May 2023: 445 were randomised to the intervention and 447 to an active control (comparator). Interventions Twelve months of fully automated text messages with embedded behaviour change techniques and two-way messaging components to support weight loss and maintenance of weight loss in the postpartum period by targeting dietary, physical activity and weight management behaviours. The comparator group received 12 months of text messages on child health and development tailored to child age. Main outcome measures Primary outcome: weight in kilograms at 12 months (end of intervention). Secondary outcomes recorded at 6 and 12 months were changes in weight (at 6 months), body mass index, proportions of women with weight gain or loss of 5 kg or more, waist circumference, self-reported dietary intake, physical activity and infant feeding practices. Results 674 (75.6%) participants were included in the primary analysis. There was no statistically significant difference found in the adjusted mean weight change between the intervention and active control groups (-0.1 kg (95% confidence interval -1.0 to 0.8, P= 0.84). Sensitivity analyses did not change these results. There was a small statistically significant improvement in Fat and Fibre Barometer scores at 12 months in the intervention compared with control group (adjusted mean difference 0.09, 95% CI: 0.04 to 0.14; P <0.001) and a statistically significant increase in physical activity scores (International Physical Activity Questionnaire Short Form) at 12 months in the intervention group compared with the control group (adjusted mean difference 405.3 total MET minutes/week, 95% CI: 141.3 to 669.3; P= 0.003). Conclusions A 12 month automated, interactive behavioural weight management intervention delivered by text message did not support weight loss for postpartum women but did have a positive impact on diet and physical activity behaviours.

BackgroundEHR documentation and chart review contribute to clinician workload and burnout. To alleviate pre-charting burden, Epic has released a new generative AI chart summarizer tool, which has become widely adopted; however, its impact has not been examined in randomized trials. ObjectiveTo evaluate whether access to an Epic generative AI chart summarization tool reduces cognitive task load among ambulatory providers compared with usual care. MethodsTwo-arm, parallel-group randomized controlled trial among ambulatory clinicians across multiple specialties. Clinicians will be randomized 1:1 to tool access versus usual care for 90 days. The primary outcome is change in a 4-item physician task load (PTL) adapted for the pre-charting task. Exploratory outcomes include EHR-derived time metrics (Caboodle and Signal), professional fulfillment/burnout (PFI), usability (SUS), clinician satisfaction, aggregated patient experience item from CG-CAHPS, and reported safety related metrics. Ethics and DisseminationAnalyses will use clinician-level survey responses and aggregated EHR metrics; no patient-level protected health information will be included in the analytic dataset. Results will be disseminated via preprint and peer-reviewed publication. Article summary - Strengths and limitations of this studyO_LIThis study is a 3-month pragmatic randomized controlled trial evaluating a native EHR-embedded generative AI tool that summarizes prior clinical notes for ambulatory encounters. C_LIO_LIThe primary outcome uses a validated cognitive task load instrument adapted specifically for pre-charting activities. C_LIO_LIExploratory outcomes include objective EHR-derived time metrics, validated psychometric measures of burnout and professional fulfillment, and clinician-reported survey measures assessing perceived usefulness of the tool. C_LIO_LIThe trial is single-centered, which may limit generalizabilty, and the intervention is optional-use and unblinded, which may attenuate observed effects and introduce performance bias. C_LI

ObjectiveExplore self-reported racial discrimination in healthcare. MethodsRepresentative population sample, Switzerland, repeated cross-sectional data 2016 to 2024 (N=15,525). ResultsContrary to expectation, respondents from the migration-related population (foreign citizens, foreign born, migration background, first/second generation) report less racial discrimination than members of the majority population. Over time, we see an increase in the non migration-related population reporting (racial) discrimination in healthcare, while the share for the migration-related population is constant. The validity of the instrument is demonstrated with reported discrimination at work and in housing and the results are reliable across specifications and statistical controls. ConclusionWe speculate that in some cases, reported racial discrimination may express unmet expectations in healthcare more generally.

BackgroundWorking while sick (presenteeism) with an infectious disease contributes to the spread of infections and is detrimental to productivity. Respiratory illnesses are a common cause of sickness in the working population and understanding the prevalence of presenteeism linked to respiratory illness is therefore important. MethodsWinter Covid Infection Study (WCIS) panel members in work aged 18-64 were surveyed in February - March 2024 and asked about presenteeism in the previous 28 days. Multilevel regression and poststratification was used to estimate the prevalence and length of presenteeism and its effect on productivity in the English workforce, as approximated using the WCIS survey sample calibrated to census proportions. Differences by demographic groups and work sector were also analysed. ResultsAround one in six working adults in England worked while sick with a respiratory infection during the study period, and one in ten attended a non-home workplace. Overall, around one day per adult was spent working while sick with a respiratory infection, approximately half of which was non-home working. Respondents felt they were able to work at around three-quarters of their usual capacity while sick. Presenteeism was more common among respondents who were younger, White, worked in a hybrid pattern, lived in larger households, had Long COVID-19, or worked in teaching and education. ConclusionWorking while sick with a respiratory infection is relatively common, including among those who primarily work away from the home. Key messagesAround one in six working-age adults in employment worked while sick with a respiratory infection during the study period (Feb-Mar 2024). - The likelihood of working while sick with a respiratory infection varied by demographic group and work sector. - On average, survey respondents said they could work at around three quarters their normal effectiveness while sick with a respiratory infection.

Background and ObjectivesDecision-making about resuscitating a critically ill child is complex yet common. We aimed to study the survival thresholds at which physicians, compared to parents, decide to treat or withhold resuscitating a child. Moreover, we aimed to compare physicians survival estimates with those from a nationwide registry. MethodsWe conducted a cross-sectional survey-based study in the United States. Clinical vignettes based on hypothetical survival probabilities were used to study and compare the decision thresholds for parents and physicians. Vignettes developed using the Get-With-The-Guidelines-Resuscitation registry were used to explore physicians decision thresholds and compare their survival estimates with those from the data. Thresholds were determined using mixed-effect logistic regression models. ResultsWe had decisions for 501 and 257 vignettes from 167 parents and 43 physicians, respectively. The decision threshold for survival to discharge was 5.3% (95% CI: 3.7 to 7.0) for physicians and 1.2% (95% CI: -0.8 to 3.0) for parents. Whereas the decision threshold for survival to discharge with PCPC 1 or 2 was 3.5% (95% CI: 1.1 to 7.1) for physicians and 0.6% (95% CI: -1.2 to 1.8) for parents. About 58% of the physicians overestimated the likelihood of survival. ConclusionsThe study found that the decision threshold for the physicians was higher than that for the parents (5.3% vs. 1.2%). This illustrates that parents still want to attempt resuscitation at a survival probability where physicians would recommend withholding resuscitation. These findings have implications for clinical practice and counseling the parents of critically ill hospitalized children.

IntroductionNational trends in youth suicide risk may mask significant regional variations within a country. This article attempts to account for spatio-temporal trends through a comparative analysis across South America and Europe. This paper analyzes the spatiotemporal patterns in suicide mortality among young people (10-29 years) in Argentina, Chile, Spain, and Uruguay during the period 1997-2021. MethodsOfficial data from vital statistics and population censuses of the four countries were analyzed. Spatiotemporal clusters were detected using Poisson-based scan statistics. Sociodemographic characteristics of high-and low-mortality clusters were compared with the rest of each country using Kruskal-Wallis and Wilcoxon tests. ResultsWith the exception of Chile, each country showed the emergence of spatiotemporal suicide clusters extending through 2021. Indicators of social fragmentation and lower socioeconomic status were most consistently associated with the formation of high-risk youth suicide clusters. ConclusionRecent national increases in youth suicide rates appear to be concentrated in specific sub-national regions, underscoring the need to target resources toward improving living conditions and mental healthcare access for young people in these areas.