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Introdução: A violência é um problema social de âmbito domiciliário ou comunitário, atinge crianças e adolescentes nas formas física, psicológica, sexual, negligência e exploração comercial ligado a relações de poder. Objetivo: Descrever o perfil da violência perpetrada por adolescentes. Método: Estudo transversal, quantitativo, desenvolvido no período de abril a junho de 2019, com 155 adolescentes. A recolha ocorreu por meio de questionários e a análise dos dados através no programa BioEstat 5.3. Pesquisa aprovada sob parecer nº 3.203.080. Resultados: Em sua maioria os participantes eram do sexo feminino com idade entre 14 a 18 anos, heterossexuais, solteiros, católicos e estudavam pela manhã. Quanto aos agressores destacam-se meninas 51 (57,9%) perpetrando a violência física 34 (65,4%). Houve associação significativa (p

Objetivo: Identificar os domínios das competências essenciais de promoção da saúde do Competencies Health Promotion Project (CompHP) desenvolvidos na formação acadêmica de enfermagem ante a saúde LGBT. Método: Estudo descritivo e qualitativo desenvolvido em três Instituições de Ensino Superior do interior cearense do Brasil, entre julho e dezembro de 2020, com 84 acadêmico(a)s de enfermagem, por meio de questionário on-line. Os dados foram organizados mediante análise de conteúdo temática e analisados pelo aporte teórico metodológico CompHP. Quanto aos aspectos éticos, o estudo obteve parecer satisfatório. Resultados: A idade do(a)s acadêmico(a)s variou entre 21 e 47 anos, em sua maioria do sexo biológico feminino; mulheres cisgênero; heterossexuais; de universidades privadas e matriculado(a)s no nono semestre. Identificaram-se oito domínios do CompHP: Possiblidade de Mudanças; Advocacia em Saúde; Parceria; Comunicação; Liderança; Diagnóstico; Implementação e Avaliação e Pesquisa, sendo o domínio Planejamento não identificado. Os(as) estudantes conseguem identificar as demandas de promoção da saúde do público LGBT, no entanto, mesmo na presença dos domínios, mencionam a necessidade de maior discussão sobre a temática. Conclusão: Identificou-se a presença de oito dos nove domínios do CompHP na formação do(a)s acadêmico(a)s de enfermagem, o que sugere que esse(a)s possam atuar enquanto agentes promotores de saúde à população LGBT.

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This article reviews the elements of continuity in the approach to public service reform in Ireland and of change in expectations of public service performance in Ireland over recent decades. It concludes that supporting democratic governance is the primary goal of public service and that trust in its capacity to meet society’s needs is the most appropriate criterion to assess reform programmes. It also suggests some priorities for future reform effort.

Bupropion SR is approved for the treatment of tobacco dependence in adult smokers. Bupropion SR is an atypical antidepressant that has been shown to double the likelihood of quitting smoking (to roughly 19%-24% six months into a quit attempt), perhaps by acting on dopaminergic and noradrenergic systems and by acting as an antagonist of nicotine acetylcholine receptors. Head-to-head comparisons of bupropion SR and other stop-smoking treatments suggest that bupropion SR is as or more efficacious than nicotine replacement therapies, equally efficacious as nortriptyline, and less efficacious than varenicline. The evidence available regarding the effectiveness of bupropion SR in real-world settings suggests that abstinence rates are similar to those seen in controlled clinical trials. Bupropion SR appears to be safe and efficacious for both men and women and for people with comorbid medical or mental health conditions. Evidence collected to date supports the use of bupropion SR as a safe, tolerable pharmacotherapy for smoking cessation among adult smokers without a predisposition to seizures, but also suggests that benefits in terms of abstinence last only as long as treatment continues. This review focuses on recent evidence regarding bupropion SR effects and highlights important questions regarding the duration of effects, relative efficacy, effectiveness in clinical use, mechanisms of action, and utilization of bupropion SR that remain unanswered. [ABSTRACT FROM AUTHOR]

Resumo O artigo analisa, à luz da bioética principialista, a experiência de lésbicas, gays, bissexuais, travestis e transexuais, queers, intersexuais, assexuais e outras identidades de gênero e orientações sexuais no acesso a serviços de saúde. Trata-se de pesquisa transversal, de abordagem qualitativa, realizada em 2018, no município de Iguatu/CE, Brasil, com 26 pessoas lésbicas, gays, bissexuais e transexuais, que participaram de grupos focais com entrevistas semiestruturadas. Os resultados apontam graves violações aos princípios básicos da corrente principialista, com violência institucional de cunho psicológico, desrespeito à dignidade, recusa de doação de sangue, não aceitação de nome social, falta de acolhimento e humanização do atendimento. A persistência e a gravidade das situações de discriminação relatadas mostram que, apesar dos avanços e da existência de uma política de saúde específica para essa população, as medidas de combate ao preconceito institucional têm se mostrado insuficientes.

Introduction: Some populations are under-represented in smoking treatment research. Electronic health record (EHR)-enabled referral of patients who smoke may enhance representativeness of clinical trial samples. This study assessed the representativeness of smoking treatment trial electronic referral (e-referral), exclusion, enrollment, and engagement in primary care., Methods: Eighteen adult primary care clinics in 2 healthcare systems offered patients who smoked e-referral to smoking reduction or cessation treatment trials. Extracted EHR data were analyzed to compare rates of e-referral and enrollment across patient groups defined by sex, age, race, ethnicity, and insurance status. Trial eligibility screening data were analyzed to identify differential exclusion of patient groups by sex, race, or neighborhood disadvantage., Results: Overall, 23.3% of eligible patients were e-referred, with elevated e-referral rates among women, African American, Medicaid-eligible, and middle-aged patients. Among e-referred patients, 20.5% were excluded at trial eligibility screening, with exclusions elevated for women, minoritized individuals, and individuals from disadvantaged neighborhoods. Overall, 7.0% of patients who smoked enrolled in a smoking treatment trial, with enrollment rates elevated among women, those over age 44, and, in one health system, African American patients. Most enrollees (>87%) initiated counseling and enrollees completed 52.4%-79.9% of counseling sessions, with older, college-educated, and lower-income enrollees attending more sessions., Conclusions: Proactive e-referral in primary care may improve representation of certain groups (e.g., African American and Medicaid-eligible patients) in smoking treatment trials, but differential exclusion at eligibility screening may reduce sample representativeness. Relaxing non-essential eligibility criteria may enhance inclusion of minoritized and disadvantaged populations in smoking treatment research., Implications: Electronic referral of adult primary care patients who smoke to smoking cessation and reduction trials may enhance referral of high-priority populations (e.g., African American patients and those eligible for Medicaid) to tobacco treatment trials. Relaxing treatment trial inclusion criteria may enhance representation of minoritized and disadvantaged patients in treatment trials., (© The Author(s) 2025. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Importance: A single round of standard tobacco quitline treatment may not be sufficient to sustain abstinence, particularly among people experiencing socioeconomic disadvantage. Adaptive retreatment may help more individuals with socioeconomic disadvantage achieve abstinence and reduce disparities in smoking cessation outcomes., Objective: To evaluate 4 evidence-based strategies for adults with limited education, no insurance, or Medicaid eligibility who continued smoking after quitline treatment., Design, Setting, and Participants: A factorial randomized clinical trial with 4 factors adapting quitline strategies was conducted for participants enrolled from June 7, 2018, to January 25, 2023, with 6-month follow-up. Adults using the Wisconsin Tobacco Quit Line who were smoking cigarettes 3 to 6 months after prior quitline treatment who were uninsured, Medicaid insured, or had no more than a high school education were included., Interventions: Quitline retreatment strategies were (1) increased counseling intensity (4 calls vs 1 call), (2) increased nicotine replacement therapy intensity (4 weeks of combination nicotine patch plus nicotine lozenge vs 2 weeks of nicotine patch), (3) text-message support (National Cancer Institute SmokefreeTXT program vs none), and (4) financial incentives for engagement in counseling and SmokefreeTXT ($30/call and/or 6-week SmokefreeTXT retention vs no incentives)., Main Outcomes and Measures: Primary outcome was 7-day point-prevalence biochemically confirmed abstinence 26 weeks after the target quit day. Intention-to-treat analysis was performed., Results: Of 6019 people assessed for eligibility, 1316 (21.9%) participants were randomized (mean [SD] age, 53.1 [11.9] years; 760 [57.8%] women), and 919 (69.8%) provided final follow-up. Intention-to-treat analyses showed 162 participants (12.3%) had biochemically confirmed abstinence at 26 weeks (368 [28.0% self-reported abstinence]). There were no significant main effects for the primary outcome: 1 call (11.6% [77 of 662]) vs 4 calls (13.0% [85 of 654]) (odds ratio [OR], 1.04; 95% CI, 0.88-1.24), 2-week patch (11.2% [73 of 654]) vs 4-week combination nicotine replacement therapy (13.4% [89 of 662]) (OR, 1.12; 95% CI, 0.94-1.34), no SmokefreeTXT (13.4% [88 of 657]) vs SmokefreeTXT (11.2% [74 of 659]) (OR, 0.88; 95% CI, 0.74-1.05), and no financial incentives (12.8% [85 of 662]) vs financial incentives (11.8% [77 of 654]) (OR, 0.94; 95% CI, 0.78-1.11)., Conclusions and Relevance: In this randomized clinical trial evaluating enhancements to tobacco quitlines for adults with socioeconomic disadvantage who were smoking after quitline treatment, none of the adaptive treatment strategies robustly improved long-term abstinence. Strategies are needed to enhance quitline retreatment effectiveness for adults with socioeconomic disadvantage., Trial Registration: ClinicalTrials.gov Identifier: NCT03538938.

Introduction: Smoking is the leading preventable cause of death and disease in the U.S. This study evaluates the cost-effectiveness from a healthcare system perspective of a comprehensive primary care intervention to reduce smoking rates., Methods: This pragmatic trial implemented electronic health record prompts during primary care visits and employed certified tobacco cessation specialists to offer proactive outreach and smoking cessation treatment to patients who smoke. The data, analyzed in 2022, included 10,683 patients in the smoking registry from 2017 to 2020. Pre-post analyses compared intervention costs to treatment engagement, successful self-reported smoking cessation, and acute health care utilization (urgent care, emergency department visits, and inpatient hospitalization). Cost per quality-adjusted life year was determined by applying conversion factors obtained from the tobacco research literature to the cost per patient who quit smoking., Results: Tobacco cessation outreach, medication, and counseling costs increased from $2.64 to $6.44 per patient per month, for a total post-implementation intervention cost of $500,216. Smoking cessation rates increased from 1.3% pre-implementation to 8.7% post-implementation, for an incremental effectiveness of 7.4%. The incremental cost-effectiveness ratio was $628 (95% CI: $568, $695) per person who quit smoking, and $905 (95% CI: $822, $1,001) per quality-adjusted life year gained. Acute health care costs decreased by an average of $42 (95% CI: -$59, $145) per patient per month for patients in the smoking registry., Conclusions: Implementation of a comprehensive and proactive smoking cessation outreach and treatment program for adult primary care patients who smoke meets typical cost-effectiveness thresholds for healthcare., (Copyright © 2023 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

American Indian and Alaska Native (AI/AN) individuals are more likely to die with COVID-19 than other groups, but there is limited empirical evidence to explain the cause of this inequity. The objective of this study was to determine whether medical comorbidities, area socioeconomic deprivation, or access to treatment can explain the greater COVID-19 related mortality among AI/AN individuals. The design was a retrospective cohort study of harmonized electronic health record data of all inpatients with COVID-19 from 21 United States health systems from February 2020 through January 2022. The mortality of AI/AN inpatients was compared to all Non-Hispanic White (NHW) inpatients and to a matched subsample of NHW inpatients. AI/AN inpatients were more likely to die during their hospitalization (13.2% versus 7.1%; odds ratio [OR] = 1.98, 95% confidence interval [CI] = 1.48, 2.65) than their matched NHW counterparts. After adjusting for comorbidities, area social deprivation, and access to treatment, the association between ethnicity and mortality was substantially reduced (OR 1.59, 95% CI 1.15, 2.22). The significant residual relation between AI/AN versus NHW status and mortality indicate that there are other important unmeasured factors that contribute to this inequity. This will be an important direction for future research., (© 2023. The Author(s).)

Identifying patients at risk for readmission after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection could facilitate care planning and prevention. This retrospective cohort study of 60-day readmission included 105 543 COVID-19 patients at 21 US healthcare systems who were discharged alive between February 2020 and November 2021. Generalized linear mixed regression analyses tested predictors of 60-day readmission and severity. The all-cause readmission rate was 15% (95% confidence interval [CI] = 10%-21%), with 22% (95% CI = 18%-26%) of readmitted patients needing intensive care, and 6% (95% CI = 05%-07%) dying. Factors associated with readmission included male sex, government insurance, positive smoking history, co-morbidity burden, longer index admissions, and diagnoses at index admission (e.g., cancer, chronic kidney disease, and liver disease). Death and intensive care rates at readmission declined postvaccine availability. Receiving at least two COVID-19 vaccine doses, which were more common among older patients and those with comorbid conditions, was not independently associated with readmission but predicted a reduced risk of death at readmission. This retrospective cohort study identified factors associated with all-cause readmission for patients re-admitted to the same health system after hospitalization with SARS-CoV-2 infection. Patients who are male, who smoke, who have a higher comorbidity burden, and have government insurance may benefit from additional postacute care planning., (© 2023 The Authors. Journal of Medical Virology published by Wiley Periodicals LLC.)

Although the harmful effects of smoking after a cancer diagnosis have been clearly demonstrated, many patients continue to smoke cigarettes during treatment and beyond. The NCCN Guidelines for Smoking Cessation emphasize the importance of smoking cessation in all patients with cancer and seek to establish evidence-based recommendations tailored to the unique needs and concerns of patients with cancer. The recommendations contained herein describe interventions for cessation of all combustible tobacco products (eg, cigarettes, cigars, hookah), including smokeless tobacco products. However, recommendations are based on studies of cigarette smoking. The NCCN Smoking Cessation Panel recommends that treatment plans for all patients with cancer who smoke include the following 3 tenets that should be done concurrently: (1) evidence-based motivational strategies and behavior therapy (counseling), which can be brief; (2) evidence-based pharmacotherapy; and (3) close follow-up with retreatment as needed.

Identifying factors that influence how individuals who smoke cigarettes respond to stress is important as stress is a risk factor for smoking and its maintenance. This study examined the modulatory role of cardiac vagal control (CVC), a physiological correlate of self-regulation, on cognitive stress appraisal processes of adults who smoke. Sixty daily cigarette smokers were randomized to receive positive or negative feedback during a modified Trier Social Stress Test. Pre- and post-task stress appraisals were assessed and resting and reactivity CVC measures were computed. Moderated regression models assessed if the relation between feedback condition and post-task stress appraisal varied as a function of CVC. We hypothesized that participants receiving negative feedback would report greater post-task stress appraisal compared to participants receiving positive feedback, and the strength of the effect of both feedback groups would be greater at higher levels of CVC. All models showed significant main effects of feedback condition (b =  - 0.42, p = 0.01; b =  - 0.45, p = 0.01) on post-task stress appraisal: participants receiving negative feedback reported greater post-task stress appraisal. No significant main or interactive effects of CVC and feedback condition on post-task stress appraisal were observed. This study demonstrates that stress appraisals of daily cigarette smokers are sensitive to social feedback, but are not moderated by individual differences in CVC. Future investigations are needed to clarify whether this finding is explained by smoking-specific impairments in CVC as well as the distinct and interactive effects of physiological and psychological processes implicated in stress and smoking risk., (© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Effective treatments for smoking cessation exist but are underused. Proactive chronic care approaches may enhance the reach of cessation treatment and reduce the prevalence of smoking in healthcare systems. This pragmatic study evaluated a population-based Comprehensive Tobacco Intervention Program (CTIP) implemented in all (6) adult primary care clinics in a Madison, Wisconsin, USA healthcare cooperative, assessing treatment reach, reach equity, and effectiveness in promoting smoking cessation. CTIP launched in 3 waves of 2 clinics each in a multiple baseline design. Electronic health record (EHR) tools facilitated clinician-delivered pharmacotherapy and counseling; guiding tobacco care managers in phone outreach to all patients who smoke; and prompting multimethod bulk outreach to all patients on a smoking registry using an opt-out approach. EHR data were analyzed to assess CTIP reach and effectiveness among 6894 adult patients between January 2018 and February 2020. Cessation treatment reach increased significantly after CTIP launch in 5 of 6 clinics and was significantly higher when clinics were active vs. inactive in CTIP [Odds Ratio (OR) range = 2.0-3.0]. Rates of converting from current to former smoking status were also higher in active vs. inactive clinics (OR range = 2.2-10.5). Telephone treatment reach was particularly high in historically underserved groups, including African-American, Hispanic, and Medicaid-eligible patients. Implementation of a comprehensive, opt-out, chronic-care program aimed at all patients who smoke was associated with increases in the rates of pharmacotherapy and counseling delivery and quitting smoking. Proactive outreach may help reduce disparities in treatment access., Competing Interests: Declaration of Competing Interest Danielle E. McCarthy, Michael C. Fiore, and Timothy B. Baker have all received grant funding from NCI, the institute that sponsors SmokefreeTXT. Michael C. Fiore serves as a consultant to the National Cancer Institute (NCI) on tobacco cessation policy issues. Timothy B. Baker has served as a paid consultant to ICF to evaluate the portfolio of Smokefree resources via monies supplied by NCI. His consulting activities involved suggesting new research directions for digital health interventions and providing feedback to ICF and NCI on research products on such interventions. The research reported in this report was not part of his consulting work with ICF/NCI. Timothy B. Baker is Principal Investigator on a project funded by NHLBI for which Pfizer provided free active and placebo varenicline. Pfizer played no role in the design, implementation, or analysis of the project described in the present manuscript. All other authors have no conflicts to report. The electronic health record tools described in this manuscript are marketed by Epic Systems Corporation., (Copyright © 2022. Published by Elsevier Inc.)

Background: Health system change can increase the reach of evidence-based smoking cessation treatments. Proactive electronic health record (EHR)-enabled, closed-loop referral ("eReferral") to state tobacco quitlines increases the rates at which patients who smoke accept cessation treatment. Implementing such system change poses many challenges, however, and adaptations to system contexts are often required, but are understudied. This retrospective case study identified adaptations to eReferral EHR tools and implementation strategies in two healthcare systems., Methods: In a large clustered randomized controlled trial (C-RCT; NCT02735382) conducted in 2016-2017, 11 primary care clinics in two healthcare systems implemented quitline eReferral, starting with 1 pilot clinic per system followed by 2 phases of implementation (an experimental phase in 5-6 test clinics per system and then a system-wide dissemination phase in both systems). Adaptations were informed by stakeholder input from live trainings, follow-up calls and meetings in the first month after eReferral launch, emails, direct observation by researchers, and clinic staff survey responses. Retrospective, descriptive analysis characterized implementation strategy modifications and adaptations using the Framework for Reporting Adaptations and Modifications to Evidence-based Implementation Strategies (FRAME-IS). A pre- and post-implementation survey assessed staff ratings of eReferral acceptability and implementation barriers and facilitators., Findings: Major modifications to closed-loop eReferral implementation strategies included aligning the eReferral initiative with other high-priority health system objectives, modifying eReferral user interfaces and training in their use, modifying eReferral workflows and associated training, and maintaining and enhancing interoperability and clinician feedback functions. The two health systems both used Epic EHRs but used different approaches to interfacing with the quitline vendor and integrating eReferral into clinician workflows. Both health systems engaged in iterative refinement of the EHR alert prompting eReferral, the eReferral order, trainings, and workflows. Staff survey comments suggested moderate acceptability of eReferral processes and identified possible targets for future modifications in eReferral, including reducing clinician burden related to EHR documentation and addressing clinicians' negative beliefs about patient receptivity to cessation treatment., Conclusions: System-wide implementation of tobacco quitline eReferral in primary care outpatient clinics is feasible but requires extensive coordination across stakeholders, tailoring to local health system EHR configurations, and sensitivity to system- and clinic-specific workflows., Trial Registration: www., Clinicaltrials: gov, NCT02735382 . Registered on 12 August 2016., (© 2022. The Author(s).)

Cigarette smoking disproportionately affects individuals with mood disorders, but smoking cessation interventions have modest effects in this population. Home mindfulness practice during abstinence incentivized via contingency management (CM) may help those in affective distress quit smoking., Method: Adult smokers receiving outpatient psychiatric treatment for mood disorders were randomized to receive a smartphone-assisted mindfulness-based smoking cessation intervention with contingency management (SMI-CM, n = 25) or enhanced standard treatment (EST, n = 24) with noncontingent rewards. Participants in SMI-CM were prompted to practice audio-guided mindfulness five times per day for 38 days (vs. no comparison intervention in EST), and received monetary incentives for carbon monoxide (CO) ≤ 6 ppm. The primary outcome was biochemically verified 7-day point prevalence abstinence rates 2, 4, and 13 weeks after a target quit day., Results: Of the 49 participants, 63.3% were Latinx and 30.6% Black; 75.5% reported household incomes < $25,000. Abstinence rates for SMI-CM were 40.0%, 36.0%, and 16.0% versus 4.2%, 8.3%, and 4.2% in EST at weeks 2, 4, and 13. A generalized estimating equations (GEE) model showed significant overall differences in abstinence rates in SMI-CM versus EST (adjusted odds ratio [A OR ] = 8.12, 95% CI = 1.42-46.6, p = .019). Those who received SMI-CM reported significantly greater reduction in smoking-specific experiential avoidance from baseline to 3 days prior to quit date (β = -7.21, 95% CI = -12.1-2.33, p = .006)., Conclusions: SMI-CM may increase cessation rates among smokers with mood disorders, potentially through reduced smoking-specific experiential avoidance. SMI-CM is a promising intervention, and warrants investigation in a fully powered randomized controlled trial (RCT). (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Purpose: Hospitalization affords an opportunity to reduce smoking, but fewer than half of patients who smoke receive evidence-based cessation treatment during inpatient stays. This study evaluated a pharmacist-led, electronic health record (EHR)-facilitated opt-out smoking cessation intervention designed to address this need., Methods: Analyses of EHR records for adult patients who smoked in the past 30 days admitted to an academic medical center in the upper Midwest were conducted using the Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) framework. The reach of a pharmacist-led, EHR-facilitated protocol for smoking cessation treatment was assessed by comparing patients' receipt of nicotine replacement therapy (NRT) and tobacco quitline referral before and after implementation. χ2 tests, t tests, and multiple logistic regression models were used to compare reach across patient demographic groups to assess treatment disparities and the representativeness of reach. Adoption of the program by hospital services was also assessed., Results: Of the 70 hospital services invited to implement the program, 88.6% adopted it and 78.6% had eligible admissions. Treatment reach increased as rates of delivering NRT rose from 43.6% of eligible patients before implementation to 50.4% after implementation (P < 0.0001) and quitline referral rates rose from 0.9% to 11.9% (P < 0.0001). Representativeness of reach by sex and ethnicity improved after implementation, although disparities by race and age persisted after adjustment for demographics, insurance, and primary diagnosis. Pharmacists addressed tobacco use for eligible patients in 62.5% of cases after protocol implementation., Conclusion: Smoking cessation treatment reach and representativeness of reach improved after implementation of a proactive, pharmacist-led, EHR-facilitated opt-out smoking cessation treatment protocol in adult inpatient services., (© American Society of Health-System Pharmacists 2021. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Although people who smoke cigarettes are overrepresented among hospital inpatients, few are connected with smoking cessation treatment during their hospitalization. Training, accountability for medication use, and monitoring of all patients position pharmacists well to deliver cessation interventions to all hospitalized patients who smoke. Methods: A large Midwestern University hospital implemented a pharmacist-led smoking cessation intervention. A delegation protocol for hospital pharmacy inpatients who smoked cigarettes gave hospital pharmacists the authority to order nicotine replacement therapy (NRT) during hospitalization and upon discharge, and for referral to the Wisconsin Tobacco Quit Line (WTQL) at discharge. Eligible patients received the smoking cessation intervention unless they actively refused (ie, "opt-out"). The program was pilot tested in phases, with pharmacist feedback between phases, and then implemented hospital-wide. Interviews, surveys, and informal mechanisms identified ways to improve implementation and workflows. Results: Feedback from pharmacists led to changes that improved workflow, training and patient education materials, and enhanced adoption and reach. Refining implementation strategies across pilot phases increased the percentage of eligible smokers offered pharmacist-delivered cessation support from 37% to 76%, prescribed NRT from 2% to 44%, and referred to the WTQL from 3% to 32%. Conclusion: Hospitalizations provide an ideal opportunity for patients to make a tobacco quit attempt, and pharmacists can capitalize on this opportunity by integrating smoking cessation treatment into existing inpatient medication reconciliation workflows. Pharmacist-led implementation strategies developed in this study may be applicable in other inpatient settings., Competing Interests: Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2021.)

Objective: Fostering practice quit attempts (PQAs)--that is, attempts to not smoke for a few hours or days, without pressure to permanently quit--represents a potential means to engage more individuals who smoke in efforts to change their smoking. However, little is known about interventions designed to foster PQAs. We aimed to identify the available evidence on PQA-focused intervention strategies and their impact on quit attempt and cessation outcomes., Method: We conducted a scoping review of behavioral and pharmacological treatment studies targeting PQAs among adult cigarette smokers., Results: The systematic literature search yielded 3,879 articles, and the full-text review was narrowed to 86. Twenty-three studies were deemed relevant, and 5 were added through other sources, yielding 28 studies total. Fifteen studies included behavioral intervention techniques focused on the development and rehearsal of individualized coping skills, whereas eight studies provided brief advice/instruction. More than half of the PQA-focused interventions incorporated sampling of nicotine replacement products, through either guided or ad lib use. Five studies reported on PQA-focused digital health interventions that prompted brief abstinence challenges. Of eight large-scale controlled trials, six demonstrated an increase in quit attempt and cessation outcomes among the PQA-focused intervention group., Conclusions: Fostering PQAs through behavioral and pharmacological interventions offers a promising technique for cessation induction that warrants future research.

Adolescents are particularly vulnerable to tobacco initiation and escalation. Identifying factors associated with adolescent tobacco susceptibility and use can guide tobacco prevention efforts. Novel machine learning (ML) approaches efficiently identify interactive relations among factors of tobacco risks and identify high-risk subpopulations that may benefit from targeted prevention interventions. Nationally representative cross-sectional 2013-2017 Global Youth Tobacco Survey (GYTS) data from 97 countries (28 high-income and 69 low-and middle-income countries) from 342,481 adolescents aged 13-15 years (weighted N = 52,817,455) were analyzed using ML regression tree models, accounting for sampling weights. Predictors included demographics (sex, age), geography (region, country-income), and self-reported exposure to tobacco marketing, secondhand smoke, and tobacco control policies. 11.9% (95% CI 11.1%-12.6%) of tobacco-naïve adolescents were susceptible to tobacco use and 11.7% (11.0%-12.5%) of adolescents reported using any tobacco product (cigarettes, other smoked tobacco, smokeless tobacco) in the past 30 days. Regression tree models found that exposure or receptivity to tobacco industry promotions and secondhand smoke exposure predicted increased risks of susceptibility and use, while support for smoke-free air policies predicted decreased risks of tobacco susceptibility and use. Anti-tobacco school education and health warning messages on product packs predicted susceptibility or use, but their protective effects were not evident across all adolescent subgroups. Sex, region, and country-income moderated the effects of tobacco promotion and control factors on susceptibility or use, showing higher rates of susceptibility and use in males and high-income countries, Africa and the Americas (susceptibility), and Europe and Southeast Asia (use). Tobacco policy-related factors robustly predicted both tobacco susceptibility and use in global adolescents, and interacted with adolescent characteristics and other environments in complex ways that stratified adolescents based on their tobacco risk. These findings emphasize the importance of efficient ML modeling of interactions in tobacco risk prediction and suggest a role for targeted prevention strategies for high-risk adolescents., Competing Interests: The authors declare no competing interests., (Copyright: © 2021 Kim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)