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Ups and downs of a peer-based smoking cessation intervention help tailored to hospital-employees with low socioeconomic status: The RESPEKT Study.

ABSTRACT: INTRODUCTION:Smoking is one of the most important determinants of socioeconomic inequality in mortality. Few studies have tested which interventions are effective in smokers with low socioeconomic status (SES). METHODS:All hospitals in the Capital Region of Denmark were included and randomized to intervention or control groups. The target-group was smokers with low SES. Intervention hospitals: smokers in the target-group assisted researchers to tailor a group-based smoking cessation intervention. Further they helped recruiting smoking colleagues and motivating them to stay abstinent. Control hospitals: 'as usual'. Unforeseen organizational challenges led to a change of study design; the hospital-level assessment was reduced to two cross-sectional surveys. RESULTS:Response rates in hospitals' smoking status survey were very low. Smoking status was reported by 1876 out of 7003 employees at baseline and 2280 out of 7496 employees at 1-year follow-up. Two cross-sectional surveys showed no significant difference in self-reported smoking at 1-year follow-up between intervention and control hospitals (p=0.262). We recruited 100 smokers in the group-based smoking cessation intervention tailored to smokers with low SES (corresponding to approx. 10% of smokers in target-group); 32.4% of these were validated as continuously abstinent at 6 months follow-up. CONCLUSIONS:Involving smokers with low SES as partners at an early stage of study design facilitated both recruitment and development of the intervention. Despite high validated long-term abstinence rates in smoking cessation groups in the intervention hospitals we found no apparent effect of the intervention at hospital-level after one year. However, larger involvement of the target-group seems feasible and is recommended.

SUBMITTER: Pisinger C

PROVIDER: S-EPMC7205107 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Ups and downs of a peer-based smoking cessation intervention help tailored to hospital-employees with low socioeconomic status: The RESPEKT Study.

Pisinger Charlotta C Koch Maj-Britt Bjerre MB Hjortsø Else E Jørgensen Torben T Glümer Charlotte C

Tobacco prevention & cessation 20180612

<h4>Introduction</h4>Smoking is one of the most important determinants of socioeconomic inequality in mortality. Few studies have tested which interventions are effective in smokers with low socioeconomic status (SES).<h4>Methods</h4>All hospitals in the Capital Region of Denmark were included and randomized to intervention or control groups. The target-group was smokers with low SES. Intervention hospitals: smokers in the target-group assisted researchers to tailor a group-based smoking cessati ...[more]

PMID: 32411850

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Project description:BackgroundSocioeconomic inequalities in smoking cessation have led to development of interventions that are specifically tailored for smokers from disadvantaged groups. We aimed to assess whether the effectiveness of interventions for disadvantaged groups is moderated by tailoring for socioeconomic position.MethodsFor this systematic review and meta-regression, we searched MEDLINE, PsycINFO, Embase, Cochrane Central Register, and Tobacco Addiction Register of Clinical Trials and the IC-SMOKE database from their inception until Aug 18, 2019, for randomised controlled trials of socioeconomic-position-tailored or non-socioeconomic-position-tailored individual-level behavioural interventions for smoking cessation at 6 months or longer of follow-up in disadvantaged groups. Studies measured socioeconomic position via income, eligibility for government financial assistance, occupation, and housing. Studies were excluded if they were delivered at the community or population level, did not report differential effects by socioeconomic position, did not report smoking cessation outcomes from 6 months or longer after the start of the intervention, were delivered at a group level, or provided pharmacotherapy with standard behavioural support compared with behavioural support alone. Individual patient-level data were extracted from published reports and from contacting study authors. Random-effects meta-analyses and mixed-effects meta-regression analyses were done to assess associations between tailoring of the intervention and effectiveness. Meta-analysis outcomes were summarised as risk ratios (RR). Certainty of evidence was assessed within each study using the Cochrane risk-of-bias tool version 2 and the grading of recommendations assessment, development, and evaluation approach. The study is registered with PROSPERO, CRD42018103008.FindingsOf 2376 studies identified by our literature search, 348 full-text articles were retrieved and screened for eligibility. Of these, 42 studies (26 168 participants) were included in the systematic review. 30 (71%) of 42 studies were done in the USA, three (7%) were done in the UK, two (5%) each in the Netherlands and Australia, and one (2%) each in Switzerland, Sweden, Turkey, India, and China. 26 (62%) of 42 studies were trials of socioeconomic-position-tailored interventions and 16 (38%) were non-socioeconomic-position-tailored interventions. 17 (65%) of 26 socioeconomic-position-tailored interventions were in-person or telephone-delivered behavioural interventions, four (15%) were digital interventions, three (12%) involved financial incentives, and two (8%) were brief interventions. Individuals who participated in an intervention, irrespective of tailoring, were significantly more likely to quit smoking than were control participants (RR 1·56, 95% CI 1·39-1·75; I2=54·5%). Socioeconomic-position-tailored interventions did not yield better outcomes compared with non-socioeconomic-position-tailored interventions for disadvantaged groups (adjusted RR 1·01, 95% CI 0·81-1·27; β=0·011, SE=0·11; p=0·93). We observed similar effect sizes in separate meta-analyses of non-socioeconomic-position-tailored interventions using trial data from participants with high socioeconomic position (RR 2·00, 95% CI 1·36-2·93; I2=82·7%) and participants with low socioeconomic position (1·94, 1·31-2·86; I2=76·6%), although certainty of evidence from these studies was graded as low.InterpretationWe found evidence that individual-level interventions can assist disadvantaged smokers with quitting, but there were no large moderating effects of tailoring for disadvantaged smokers. Improvements in tailored intervention development might be necessary to achieve equity-positive smoking cessation outcomes.FundingCancer Research UK.

Project description:People who smoke make up a significant number of those admitted to hospital (NICE 2014). Being admitted to hospital can present a unique opportunity to attempt to stop smoking. Many smokers find quitting very difficult (Rigotti et al 2007), in large part due to them living and working in environments that contain many cues and triggers associated with nicotine consumption and smoking behaviours. Hospitals generally do not contain such environmental prompts to smoke. In the community, smokers have access to numerous types of support including GP's, pharmacies and Stop Smoking Services (SSS). Once admitted to hospital access to such support is significantly diminished. Given that many patients may be highly motivated to attempt to stop smoking due to heightened concerns about their health and being in an environment not associated with their smoking habits, it seems prudent to ensure there is access to all the levels of smoking cessation support available outside of the hospital. Not providing such support neglects implementing an evidence based, cost-effective health intervention in a major health setting (NICE 2014). A SSS pathway was designed that enabled existing hospital healthcare staff to be trained to identify patients that smoke, ask if the patient is considering quitting or abstaining whilst in hospital. If motivated to quit or abstain, to complete an assessment. This being based around dependence to nicotine and motivation to quit. Access to all available stop smoking medications should be included. Medication should only be provided alongside some level of motivational support up to discharge. Training core staff was felt to be the best option. They are available outside of office hours and access hospital systems such as pharmacy more readily than satellite staff. On discharge the patient is 'handed over' to SSS for continued contact and support once at home. Over 200 staff are trained to complete the assessment and support inpatients to stop or abstain. Approximately 30-35 referrals are made to the local SSS each month, the quit rate at 4 weeks averaging around 40-45%. Most referrals are seen from cardiology and respiratory. All hospital departments should identify staff to be trained to offer cessation support to their patients .

Project description:BackgroundTailored, web-assisted interventions can reach many smokers. Content from other smokers (peers) through crowdsourcing could enhance relevance.PurposeTo evaluate whether peers can generate tailored messages encouraging other smokers to use a web-assisted tobacco intervention (Decide2Quit.org).MethodsPhase 1: In 2009, smokers wrote messages in response to scenarios for peer advice. These smoker-to-smoker (S2S) messages were coded to identify themes. Phase 2: resulting S2S messages, and comparison expert messages, were then e-mailed to newly registered smokers. In 2012, subsequent Decide2Quit.org visits following S2S or expert-written e-mails were compared.ResultsPhase 1: a total of 39 smokers produced 2886 messages (message themes: attitudes and expectations, improvements in quality of life, seeking help, and behavioral strategies). For not-ready-to-quit scenarios, S2S messages focused more on expectations around a quit attempt and how quitting would change an individual's quality of life. In contrast, for ready-to-quit scenarios, S2S messages focused on behavioral strategies for quitting. Phase 2: In multivariable analysis, S2S messages were more likely to generate a return visit (OR=2.03, 95% CI=1.74, 2.35), compared to expert messages. A significant effect modification of this association was found, by time-from-registration and message codes (both interaction terms p<0.01). In stratified analyses, S2S codes that were related more to "social" and "real-life" aspects of smoking were driving the main association of S2S and increased return visits.ConclusionsS2S peer messages that increased longitudinal engagement in a web-assisted tobacco intervention were successfully collected and delivered. S2S messages expanded beyond the biomedical model to enhance relevance of messages.Trial registrationThis study is registered at www.clinicaltrials.gov NCT00797628 (web-delivered provider intervention for tobacco control [QUIT-PRIMO]) and NCT01108432 (DPBRN Hygienists Internet Quality Improvement in Tobacco Cessation [HiQuit]).

Project description:INTRODUCTION:Far too few smokers receive recommended interventions at their healthcare visits, highlighting the importance of identifying effective, low-cost smoking interventions that can be readily delivered. Self-help interventions (e.g., written materials) would meet this need, but they have shown low efficacy. The purpose of this RCT was to determine the efficacy of a self-help intervention with increased duration and intensity. DESIGN:Randomized parallel trial design involving enrollment between April 2010 and August 2011 with follow-up data for 24 months. SETTING/PARTICIPANTS:U.S. national sample of daily smokers (N=1,874). INTERVENTION:Participants were randomized to one of three arms of a parallel trial design: Traditional Self-Help (TSH, n=638), Standard Repeated Mailings (SRM, n=614), or Intensive Repeated Mailings (IRM, n=622). TSH received an existing self-help booklet for quitting smoking. SRM received eight different cessation booklets mailed over a 12-month period. IRM received monthly mailings of ten booklets and additional material designed to enhance social support over 18 months. MAIN OUTCOME MEASURES:The primary outcome was 7-day point-prevalence abstinence collected at 6, 12, 18, and 24 months. RESULTS:Data were analyzed between 2013 and 2015. A dose-response effect was found across all four follow-up points. For example, by 24 months, IRM produced the highest abstinence rate (30.0%), followed by SRM (24.4%) and TSH (18.9%). The difference in 24-month abstinence rates between IRM and TSH was 11.0% (95% CI=5.7%, 16.3%). Cost analyses indicated that, compared with TSH, the incremental cost per quitter who received SRM and IRM was $560 and $361, respectively. CONCLUSIONS:Self-help interventions with increased intensity and duration resulted in significantly improved abstinence rates that extended 6 months beyond the end of the intervention. Despite the greater intensity, the interventions were highly cost effective, suggesting that widespread dissemination in healthcare settings could greatly enhance quitting. TRIAL REGISTRATION:This study is registered at www.clinicaltrials.gov NCT01352195.

Project description:Recent genome-wide analyses have uncovered a high accumulation of RNA polymerase II (Pol II) at the 5' end of genes. This elevated Pol II presence at promoters, referred to here as Poll II poising, is mainly (but not exclusively) attributed to temporal pausing of transcription during early elongation which, in turn, has been proposed to be a regulatory step for processes that need to be activated "on demand". Yet, the full genome-wide regulatory role of Pol II poising is yet to be delineated. To elucidate the role of Pol II poising in B cell activation, we compared Pol II profiles in resting and activated B cells. We found that while Pol II poised genes generally overlap functionally among different B cell states and correspond to the functional groups previously identified for other cell types, non-poised genes are B cell state specific. Focusing on the changes in transcription activity upon B cell activation, we found that the majority of such changes were from poised to non-poised state. The genes showing this type of transition were functionally enriched in translation, RNA processing and mRNA metabolic process. Interestingly, we also observed a transition from non-poised to poised state. Within this set of genes we identified several Immediate Early Genes (IEG), which were highly expressed in resting B cell and shifted from non-poised to poised state after B cell activation. Thus Pol II poising does not only mark genes for rapid expression in the future, but it is also associated with genes that are silenced after a burst of their expression. Finally, we performed comparative analysis of the presence of G4 motifs in the context of poised versus non-poised but active genes. Interestingly we observed a differential enrichment of these motifs upstream versus downstream of TSS depending on poising status. The enrichment of G4 sequence motifs upstream of TSS of non-poised active genes suggests a potential role of quadruplexes in expression regulation.

Dataset Information

Ups and downs of a peer-based smoking cessation intervention help tailored to hospital-employees with low socioeconomic status: The RESPEKT Study.

Publications

Ups and downs of a peer-based smoking cessation intervention help tailored to hospital-employees with low socioeconomic status: The RESPEKT Study.

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