The Experiences of People Who Smoke With Type 2 Diabetes: A Qualitative Interview Study Using the Capability, Opportunity, Motivation, and Behavior Model.

ABSTRACT: Few interventions to support smoking cessation include content specifically about diabetes. This is problematic, as people with diabetes face unique challenges when they stop smoking. The purpose of this study was to understand patients' needs and challenges in relation to smoking with Type 2 diabetes and assess the acceptability of a text message intervention to support smoking cessation. People who smoke and have Type 2 diabetes in the United States and the United Kingdom were recruited to participate in semistructured interviews (n = 20), guided by the Capability, Opportunity, Motivation, and Behavior model. A combination of inductive and deductive approaches with framework analysis was used to analyze the data. Results indicated that the participants' experiences related to the constructs of the Capability, Opportunity, Motivation, and Behavior model and the categories of mental health and diabetes distress were also notable parts of their experiences. Results can be used to guide intervention development in this unique group.

Harm perceptions of nicotine-containing products and associated sources of information in UK adults with and without mental ill health: A cross-sectional survey.

BACKGROUND AND AIMS: People with mental ill health are more likely to smoke and experience smoking-related harm than those without. Switching from combustible tobacco to lower-risk nicotine-containing products may be of benefit; however, misperceptions of harm may prevent their use. We aimed to assess, among adults with and without mental ill health, (1) perceptions of harm from nicotine and relative harm and addictiveness of different nicotine-containing products and (2) sources of information associated with harm perceptions. DESIGN: Cross-sectional study. SETTING AND PARTICIPANTS: On-line survey of adults (n = 3400) who smoke cigarettes and/or use e-cigarettes, or have recently stopped, in the United Kingdom. MEASUREMENTS: Outcomes: harm perceptions of nicotine; relative perceived harm and addictiveness of different nicotine-containing products; sources of information for harm perceptions of nicotine, cigarette smoking and e-cigarettes. Demographics: sex, age, education, ethnic group and region. Other measures: self-reported smoking, vaping and mental health status. ANALYSES: frequencies and logistic regressions adjusting for demographic/other measures. FINDINGS: Among those with serious mental distress (versus no/low mental distress): 9.6% [13.9%, adjusted odds ratio (aOR) = 0.69, 95% confidence interval (CI) = 0.50-0.97] correctly identified that none/a very small amount of the health risks of smoking cigarettes come from nicotine; 41.7% (53.5%, aOR = 0.67, 95% CI = 0.54-0.84) perceived e-cigarettes and 53.2% (70.3%, aOR = 0.62, 95% CI = 0.50-0.77) perceived nicotine replacement therapy to be less harmful than cigarettes; and 42.1% (51.3%, aOR = 0.77, 95% CI = 0.62-0.95) perceived e-cigarettes as being less likely than cigarettes to cause cancer, 35.4% (45.5%, aOR = 0.71, 95% CI = 0.57-0.88) heart attacks and 34.9% (42.3%, aOR = 0.80, 95% CI = 0.64-0.99) lung problems. The most popular sources of information for cigarette smoking, e-cigarettes and nicotine were scientific experts' opinions and media reports, with little variation by mental distress. CONCLUSIONS: Among adults with a history of tobacco and/or e-cigarette use, those with serious mental distress appear to have less accurate harm perceptions of nicotine and nicotine-containing products than those with no/low distress, despite reporting similar sources of information.

Heated Tobacco Products and Nicotine Pouches: A Survey of People with Experience of Smoking and/or Vaping in the UK.

Background: To gauge the public health impact of new nicotine products, information is needed on use among different populations. Aims were to assess in adults who smoked, vaped, did both or had recently stopped: (1) awareness, ever and current use of heated tobacco products (HTPs) and nicotine pouches (NP), (2) characteristics associated with ever use, (3) reasons for use of and satisfaction with HTPs, (4) characteristics associated with interest in use of HTPs. Methods: Online survey in the UK in 2019, n = 3883. (1) Proportion aware, ever and current (≥monthly) use; (2) ever use regressed onto socio-demographics and smoking/vaping; (3) frequency of reasons for HTP use and satisfaction; (4) interest in trying HTPs regressed onto socio-demographics and smoking/vaping status. Results: Awareness was 34.8% for HTP and 15.9% for NP; current use was 3.2% and 2.7%. Being <45 years, higher education, living in London and currently both smoking and vaping were associated with ever having used the products. Curiosity was the most common reason for HTP use (79.8%) and 72.0% of ever HTP users found them at least as satisfying as smoking. Among those not currently using HTPs, 48.5% expressed any interest-lower among those aged over 65 and higher among those smoking and vaping. Conclusions: In this sample of adults with a history of nicotine use, very few currently used heated tobacco products or nicotine pouches. Satisfaction with and interest in HTPs were substantial. The low level of use is unlikely to substantially reduce the public health impact of smoking.

The effectiveness of using e-cigarettes for quitting smoking compared to other cessation methods among adults in the United Kingdom.

BACKGROUND AND AIMS: Evidence on the effectiveness of electronic cigarettes (ECs) to facilitate abstinence from smoking is limited. The current study aimed to estimate the relative effectiveness of ECs and smoking cessation medication compared with using no help, accounting for frequency of use of ECs. DESIGN: Four consecutive wave-to-wave transitions (waves 1-2, 2-3, 3-4 or 4-5) of a longitudinal online survey collected between 2012 and 2017 were analysed. Time between waves ranged between 12 and 17 months. Cigarette smokers at the baseline wave who attempted to quit smoking between waves were included. SETTING: United Kingdom PARTICIPANTS: A total of 1155 respondents (aged 18-81, 56.1% male, 64.6% in social grade C2DE, 93.8% white) provided 1580 pairs of observations for the primary analysis. MEASUREMENTS: Primary outcome: abstinence from smoking for at least 1 month at follow-up; secondary outcome: at least 1 month's abstinence from smoking between baseline and follow-up. The main predictor was stop smoking aid used (No help, nicotine replacement therapy only, smoking cessation medication only, disposable/cartridge EC, refill/modular EC, combination), adjusted for demographics. FINDINGS: Primary Compared with using no help, the odds of abstinence were increased by daily use of disposable/cartridge ECs (OR = 3.31 (1.32, 8.26), P = .010) and daily use of refill/modular ECs (OR = 5.47 (2.70, 11.11), P < .001). Odds were reduced by non-daily use of disposable/cartridge ECs (OR = 0.23 (0.08-0.63), P = .005), and by use of disposable/cartridge ECs to quit and no longer using at follow-up (OR = 0.10 (0.16-0.62), P < .013). Secondary Results were similar to the primary outcome; however, odds of abstinence were also increased by use of smoking cessation medication (OR = 4.15 (1.79, 9.62), P = .001). CONCLUSIONS: When used daily, electronic cigarettes appear to facilitate abstinence from smoking when compared with using no help.

Social norms for e-cigarettes and smoking: associations with initiation of e-cigarette use, intentions to quit smoking and quit attempts: findings from the EUREST-PLUS ITC Europe Surveys.

BACKGROUND: Social norms have received little attention in relation to electronic cigarettes (EC). The current study examine social norms for EC use and smoking tobacco, and their associations with (i) initiation of EC use, (ii) intention to quit smoking and (iii) attempts to quit smoking. METHODS: Cross-sectional and longitudinal data analysis from Waves 1 and 2 of the ITC 6 European Country Survey and corresponding waves from England (the ITC Four Country Smoking and Vaping Survey). Current smokers at baseline, who heard of ECs and provided data at both waves were included (n = 3702). Complex samples logistic regression examined associations between the outcomes and descriptive (seeing EC use in public, close friends using ECs/smoking) and injunctive (public approves of ECs/smoking) norms, adjusting for country, demographics, EC use and heaviness of smoking. RESULTS: In longitudinal analyses, seeing EC use in public at least some days was the only social norm that predicted initiation of EC use between waves (OR = 1.66, 95%CI = 1.08-2.56). In the cross-sectional analysis, having an intention to quit was associated with seeing EC use in public (OR = 1.37, 95%CI = 1.04-1.81) and reporting fewer than three close friends smoke (OR = 0.59, 95%CI = 0.44-0.80). There was no association between any social norm and making a quit attempt between waves. CONCLUSIONS: Initiation of EC use is predicted by seeing EC use in public, which was also associated with greater intention to quit smoking. Friends' smoking was associated with lower intention to quit. These findings may allay concerns that increased visibility of ECs is renormalizing smoking amongst current smokers.

Exposure to and perceptions of health warning labels on nicotine vaping products: findings from the 2016 International Tobacco Control Four Country Smoking and Vaping Survey.

BACKGROUND AND AIMS: The presence and content of health warning labels (HWLs) on nicotine vaping products (NVPs), such as electronic cigarettes, varies by country and manufacturer. We compared proportions of people who report (i) noticing HWLs on NVPs and (ii) feeling concerned having noticed HWLs, by country and by smoking or vaping status. We also examined recall of HWL content and whether this varies by country. DESIGN: Cross-sectional survey. SETTING: Australia (AU), Canada (CA), England (EN) and the United States (US). At the time of data collection, HWLs on NVPs were only mandatory in EN. PARTICIPANTS: A total of 11 561 respondents from the following samples in the 2016 International Tobacco Control Four Country Project: (1) re-contacted smokers and quitters who had participated in the previous wave of the project; (2) newly recruited current smokers and recent quitters; and (3) newly recruited current vapers from CA, EN and US. MEASUREMENTS: Outcomes included: (1) having noticed HWLs on NVPs, (2) feeling concerned having noticed HWLs, and (3) recall of HWL message content. FINDINGS: Compared with respondents in EN, respondents in CA were more likely to report having noticed HWLs [odds ratio (OR) = 1.58, P = 0.02], whereas respondents in AU (OR = 0.76, P = 1.00) and the US (OR = 1.54, P = 0.09) were not significantly more or less likely to report having noticed HWLs. Compared with concurrent smokers and vapers, daily smokers, non-daily smokers and quitters were less likely to report having noticed HWLs (ORs = 0.21, 0.33 and 0.19, respectively, all P < 0.001). There were no significant differences in reports of noticing HWLs when comparing concurrent smokers and vapers with daily (OR = 1.62, P = 0.91) or non-daily (OR = 1.15, P = 1.00) vapers. There were no significant differences by country in reporting that HWLs made them concerned about using NVPs. Daily vapers were less likely to report feeling concerned than concurrent users (OR = 0.11, P = 0.017). Among those who reported reading HWLs (n = 688), there was little evidence of differences in recall of the HWL content. CONCLUSIONS: Respondents in England, where health warning labels on nicotine vaping products are mandatory, were not significantly more likely to report having noticed such warnings than those in Australia, Canada and the United States where warnings are not mandatory.

Evaluating the impact of method bias in health behaviour research: a meta-analytic examination of studies utilising the theories of reasoned action and planned behaviour.

The methods employed to measure behaviour in research testing the theories of reasoned action/planned behaviour (TRA/TPB) within the context of health behaviours have the potential to significantly bias findings. One bias yet to be examined in that literature is that due to common method variance (CMV). CMV introduces a variance in scores attributable to the method used to measure a construct, rather than the construct it represents. The primary aim of this study was to evaluate the impact of method bias on the associations of health behaviours with TRA/TPB variables. Data were sourced from four meta-analyses (177 studies). The method used to measure behaviour for each effect size was coded for susceptibility to bias. The moderating impact of method type was assessed using meta-regression. Method type significantly moderated the associations of intentions, attitudes and social norms with behaviour, but not that between perceived behavioural control and behaviour. The magnitude of the moderating effect of method type appeared consistent between cross-sectional and prospective studies, but varied across behaviours. The current findings strongly suggest that method bias significantly inflates associations in TRA/TPB research, and poses a potentially serious validity threat to the cumulative findings reported in that field.

Intention stability assessed using residual change scores moderates the intention-behaviour association: a prospective cohort study.

Intention stability is considered to be one of the key pre-requisites for a strong association between intention and behaviour. It has been claimed, however, that studies examining the moderating impact of intention stability may be invalid, as they have relied on statistically inferior methods. Residual change scores have been suggested as a more appropriate method of measuring change (or lack thereof) in constructs. The aim of the current study, therefore, is to test whether intention stability, calculated using residual change scores, moderates the intention-physical activity behaviour association. A total of 163 participants (124 women, 39 men) completed questionnaires online at three time points separated by 14 day intervals. The moderating impact of intention stability was assessed using multiple linear regression followed up using simple slope analyses to identify the direction of any effect. The interaction of intention and intention stability was found to significantly improve the overall model fit. Intentions had a stronger positive association with behaviour when intentions were more stable than when they were more unstable. However, sensitivity analyses revealed that the association was not robust and reduced to non-significant with the removal of potential multivariate outliers. Future research should use residual change scores as the preferred method of assessing intention stability.

Personality and sedentary behavior: A systematic review and meta-analysis.

OBJECTIVE: Too much sitting is associated with an increased risk of chronic disease and premature death. This investigation aimed to systematically review the evidence for personality as a correlate of time spent in sedentary pursuits. METHOD: Electronic databases (PubMed; Science Direct; PsycINFO, PsycARTICLES, and SPORTDiscus via EBSCO; Web of Science; MEDLINE via Ovid; Scopus; ProQuest) were searched in December 2015 for studies reporting an association between at least 1 personality trait and time spent in at least 1 sedentary behavior. Pooled mean effect sizes were computed using inverse-variance weighted random effects meta-analysis. RESULTS: Twenty-six studies (28 samples, 110 effect sizes) met inclusion criteria. Higher levels of sedentary behavior were associated with higher levels of neuroticism (r+ = .08, 95% confidence interval [CI: .05, .10]) and lower levels of conscientiousness (r+ = -.08, 95% CI [-.11, -.06]). Nonsignificant associations were observed for extraversion (r+ = .00, 95% CI [-.07, .06]), openness (r+ = -.02, 95% CI [-.05, .02]), and agreeableness (r+ = -.04, 95% CI [-.09, .00]). Effects for neuroticism and extraversion were moderated by measurement of sedentary behavior, and effects for openness and agreeableness were moderated by participant age and gender. CONCLUSIONS: Findings appear consistent with personality trait associations with other health-related behaviors. More objective measures of sedentary behavior are required to make more definitive conclusions about the contribution of personality to a sedentary lifestyle. (PsycINFO Database Record

Effective techniques for changing physical activity and healthy eating intentions and behaviour: A systematic review and meta-analysis.

PURPOSE: The primary aim of this study was to review the evidence on the impact of a change in intention on behaviour and to identify (1) behaviour change techniques (BCTs) associated with changes in intention and (2) whether the same BCTs are also associated with changes in behaviour. METHODS: A systematic review was conducted to identify interventions that produced a significant change in intention and assessed the impact of this change on behaviour at a subsequent time point. Each intervention was coded using a taxonomy of BCTs targeting healthy eating and physical activity. A series of meta-regression analyses were conducted to identify effective BCTs. RESULTS: In total, 25 reports were included. Interventions had a medium-to-large effect on intentions (d+  = 0.64) and a small-to-medium effect (d+  = 0.41) on behaviour. One BCT, 'provide information on the consequences of behaviour in general', was significantly associated with a positive change in intention. One BCT, 'relapse prevention/coping planning', was associated with a negative change in intention. No BCTs were found to have significant positive effects on behaviour. However, one BCT, 'provide feedback on performance', was found to have a significant negative effect. BCTs aligned with social cognitive theory were found to have significantly greater positive effects on intention (d+  = 0.83 vs. 0.56, p < .05), but not behaviour (d+  = 0.35 vs. 0.23, ns), than those aligned with the theory of planned behaviour. CONCLUSIONS: Although the included studies support the notion that a change in intention is associated with a change in behaviour, this review failed to produce evidence on how to facilitate behaviour change through a change in intention. Larger meta-analyses incorporating interventions targeting a broader range of behaviours may be warranted. Statement of contribution What is already known on this subject? Prior research on the causal relationship between intention and behaviour has produced mixed findings. Further experimental research to determine the precise nature of these variables is clearly warranted. However, precise guidance on how to change intention is still lacking. What does this study add? This study aimed to identify behaviour change techniques associated with changes in intention and behaviour. Techniques with positive effects on intention were identified; however, these did not have an impact on behaviour. Larger meta-analyses incorporating interventions targeting a broader range of behaviours may be warranted.

The moderating impact of temporal separation on the association between intention and physical activity: a meta-analysis.

Previous meta-analyses have estimated that the intention-behaviour association in physical activity (PA) is large in magnitude. However, these prior meta-analyses have also revealed a large degree of heterogeneity, suggesting the presence of moderating variables. This study examines the impact of one such moderator, testing the hypothesis that the magnitude of the association between intention and behaviour decreases as the temporal separation between the two increases. A systematic literature search was used to identify published and unpublished studies that met the inclusion criteria. A random-effects meta-regression was conducted to test the study hypothesis. A total of 78 journal articles and 11 unpublished dissertations were identified, yielding 109 effect sizes. The mean number of weeks between the measurement of intention and behaviour was 5.4 (SD = 6.6, range = .43, 26). The average correlation between intention and behaviour was r = 0.51. In line with theoretical predictions, temporal separation was a significant moderator of the intention-behaviour correlation (B = -.014, p < .001) and explained 24% of the between-study variance. This result remained unchanged when entered simultaneously with several control variables. The results of this analysis have important implications both for researchers and for intervention designers aiming to increase rates of PA.

The theory of planned behaviour and discrete food choices: a systematic review and meta-analysis.

The combination of economic and social costs associated with non-communicable diseases provide a compelling argument for developing strategies that can influence modifiable risk factors, such as discrete food choices. Models of behaviour, such as the Theory of Planned Behaviour (TPB) provide conceptual order that allows program designers and policy makers to identify the substantive elements that drive behaviour and design effective interventions. The primary aim of the current review was to examine the association between TPB variables and discrete food choice behaviours. A systematic literature search was conducted to identify relevant studies. Calculation of the pooled mean effect size (r(+)) was conducted using inverse-variance weighted, random effects meta-analysis. Heterogeneity across studies was assessed using the Q- and I(2)-statistics. Meta-regression was used to test the impact of moderator variables: type of food choice behaviour; participants' age and gender. A total of 42 journal articles and four unpublished dissertations met the inclusion criteria. TPB variables were found to have medium to large associations with both intention and behaviour. Attitudes had the strongest association with intention (r(+) = 0.54) followed by perceived behavioural control (PBC, r(+) = 0.42) and subjective norm (SN, r(+) = 0.37). The association between intention and behaviour was r(+) = 0.45 and between PBC and behaviour was r(+) = 0.27. Moderator analyses revealed the complex nature of dietary behaviour and the factors that underpin individual food choices. Significantly higher PBC-behaviour associations were found for choosing health compromising compared to health promoting foods. Significantly higher intention-behaviour and PBC-behaviour associations were found for choosing health promoting foods compared to avoiding health compromising foods. Participant characteristics were also found to moderate associations within the model. Higher intention-behaviour associations were found for older, compared to younger age groups. The variability in the association of the TPB with different food choice behaviours uncovered by the moderator analyses strongly suggest that researchers should carefully consider the nature of the behaviour being exhibited prior to selecting a theory.

Interventions to increase adherence to medications for tobacco dependence.

BACKGROUND: Pharmacological treatments for tobacco dependence, such as nicotine replacement therapy (NRT), have been shown to be safe and effective interventions for smoking cessation. Higher levels of adherence to these medications increase the likelihood of sustained smoking cessation, but many smokers use them at a lower dose and for less time than is optimal. It is therefore important to determine the effectiveness of interventions designed specifically to increase medication adherence. Such interventions may include further educating individuals about the value of taking medications and providing additional support to overcome problems with maintaining adherence. OBJECTIVES: The primary objective of this review was to assess the effectiveness of interventions to increase adherence to medications for smoking cessation, such as NRT, bupropion, nortriptyline and varenicline (and combination regimens). This was considered in comparison to a control group, typically representing standard care. Secondary objectives were to i) assess which intervention approaches are most effective; ii) determine the impact of interventions on potential precursors of adherence, such as understanding of the treatment and efficacy perceptions; and iii) evaluate key outcomes influenced by prior adherence, principally smoking cessation. SEARCH METHODS: We searched the following databases using keywords and medical subject headings: Cochrane Central Register of Controlled Trials (CENTRAL, The Cochrane Library), MEDLINE (OVID SP) (1946 to July Week 3 2014), EMBASE (OVID SP) (1980 to Week 29 2014), and PsycINFO (OVID SP) (1806 to July Week 4 2014). The Cochrane Tobacco Addiction Group Specialized Register was searched on 9th July 2014. We conducted forward and backward citation searches. SELECTION CRITERIA: Randomised, cluster-randomised or quasi-randomised studies in which participants using active pharmacological treatment for smoking cessation are allocated to an intervention arm or a control arm. Eligible participants were adult (18+) smokers. Eligible interventions comprised any intervention that differed from standard care, and where the intervention content had a clear principal focus on increasing adherence to medications for tobacco dependence. Acceptable comparison groups were those that provided standard care, which depending on setting may comprise minimal support or varying degrees of behavioural support. Included studies used a measure of adherence behaviour that allowed some assessment of the degree of adherence. DATA COLLECTION AND ANALYSIS: Two review authors searched for studies and independently extracted data for included studies. Risk of bias was assessed according to the Cochrane Handbook guidance. For continuous outcome measures, we report effect sizes as standardised mean differences (SMDs). For dichotomous outcome measures, we report effect sizes as relative risks (RRs). We obtained pooled effect sizes with 95% confidence intervals (CIs) using the fixed effects model. MAIN RESULTS: Our search strategy retrieved 3165 unique references and we identified 31 studies as potentially eligible for inclusion. Of these, 23 studies were excluded at full-text screening stage or identified as studies awaiting classification subject to further information. We included eight studies involving 3336 randomised participants. The interventions were all additional to standard behavioural support and typically provided further information on the rationale for, and emphasised the importance of, adherence to medication, and supported the development of strategies to overcome problems with maintaining adherence.Five studies reported on whether or not participants achieved a specified satisfactory level of adherence to medication. There was evidence that adherence interventions led to modest improvements in adherence, with a relative risk (RR) of 1.14 (95% CI, 1.02 to 1.28, P = 0.02, n = 1630). Four studies reported continuous measures of adherence to medication. Although the standardised mean difference (SMD) favoured adherence interventions, the effect was small and not statistically significant (SMD 0.07, 95% CI, -0.03 to 0.17, n = 1529). Applying the GRADE system, the quality of evidence for these results was assessed as moderate and low, respectively.There was evidence that adherence interventions led to modest improvements in rates of cessation. The relative risk for achieving abstinence was similar to that for improved adherence. It was not significant in meta-analysis of four studies providing short-term abstinence: RR = 1.07 (95% CI 0.95 to 1.21, n = 1755), but there was statistically significant evidence of improved abstinence at six months or more from a different set of four studies: RR = 1.16 (95% CI, 1.01 to 1.34, P = 0.03, n = 3049). Applying the GRADE system, the quality of evidence for these results was assessed as low for both.As interventions were similar in nature and the number of studies was low, it was not possible to investigate whether different types of intervention approaches were more effective than others. Relevant outcomes other than adherence or cessation were not reported.There was no evidence that interventions to increase adherence to medication led to any adverse events. All included studies were assessed as at high or unclear risk of bias. This was often due to a lack of clarity in reporting - meaning assessments were unclear - rather than clear evidence of failing to sufficiently safeguard against the risk of bias. AUTHORS' CONCLUSIONS: There is some evidence that interventions that devote special attention to improving adherence to smoking cessation medication through providing information and facilitating problem-solving can improve adherence, though the evidence for this is not strong and is limited in both quality and quantity. There is some evidence that such interventions improve the chances of achieving abstinence but again the evidence for this is relatively weak.

Do doctors' smoking habits influence their smoking cessation practices? A systematic review and meta-analysis.

AIMS: To assess the association between doctors' smoking status and the use of the '5As' of smoking cessation. METHODS: A systematic search of 11 databases covering English and Spanish language publications since 1996 was undertaken. Studies were included if they reported doctors' smoking status (current, former or never smoker) and rates of practising any of the 5As of smoking cessation (Ask; Advise; Assess; Assist; and Arrange). Frequencies and proportions were extracted from individual papers and risk ratios (RR) were calculated. A random-effects meta-analysis model was used to assess the effect of the doctor's personal smoking history. Covariate effects were explored using meta-regression for three pre-specified study characteristics: doctors' role, smoking prevalence of the sample and study quality. RESULTS: Twenty studies were included in this systematic review. The RR of always asking patients about their smoking was not associated significantly with doctors' smoking status [RR = 0.98; 95% confidence interval (CI) = 0.94-1.02; P = 0.378; I(2) = 0.00%; 10 studies]. Meta-analysis suggested that doctors who were current smokers had a 17% increased risk of not advising their patients to quit compared with never-smokers (RR = 0.83; 95% CI = 0.77-0.90; P < 0.000; I(2) = 82.14%; 14 studies). However, high levels of heterogeneity were found that were not explained by the meta-regression. Regarding assisting patients to quit, never smokers were more likely to counsel than current smokers (RR = 0.92; 95% CI = 0.85-0.99; P = 0.036; I(2) = 0.00%; three studies) but less likely to make a referral (RR = 1.40; 95% CI = 1.09-1.79; P = 0.009; I(2) = 0.00%; five studies). No statistically significant differences were found in arranging future contact by smoking status (RR = 0.80; 95% CI = 0.52-1.23; P = 0.315; I(2) = 47.03%; four studies). CONCLUSIONS: Smoking status of doctors may affect their delivery of smoking cessation treatments to patients, with smokers being less likely than non-smokers or ex-smokers to advise and counsel their patients to quit but more likely to refer them to smoking cessation programmes.

The importance of practitioner smoking status: a survey of NHS Stop Smoking Service practitioners.

OBJECTIVE: To investigate the smoking status of stop smoking practitioners, the impact of this on their practice, and clients' quit rates. METHODS: Smoking cessation practitioners in the UK NHS Stop Smoking Service were asked about their smoking status, client quit rates and practitioner-client interaction, using an online survey. Associations between responses were investigated using logistic regression. RESULTS: 51% of the sample (N=484) were ex-smokers. Most practitioners had been questioned about their smoking status by clients, with more never than ex-smokers claiming that this reduced their confidence when advising. Never smokers more frequently reported that clients questioned their ability as a practitioner, but no significant difference in quit rates was reported between never and ex-smokers. CONCLUSION: Although evidence suggests smokers believe many practitioners are never smokers, this survey found that this is not true. Research investigating how many smokers might not be seeking support to quit because of this could be beneficial. PRACTICE IMPLICATIONS: Raising awareness of the similarity of quit rates achieved by never and former smoker practitioners, and the experience practitioners draw upon when offering advice, might encourage greater use of the NHS SSS. It could also be beneficial to improve training in never smokers to address confidence issues.

Maximizing the healthcare environment: a systematic review exploring the potential of computer technology to promote self-management of chronic illness in healthcare settings.

OBJECTIVE: The aim of this systematic review is to investigate the effectiveness of using computers to deliver patient self-management programs (PSMPs) to patients with chronic illness in health supported settings. METHODS: We included randomized controlled trials (RCTs), where the experimental intervention was compared either with an equivalent 'standard' PSMP delivered by staff, usual care or no intervention and reported data either on clinical or behavioral outcomes. We conducted a narrative synthesis, incorporating a small quantitative analysis to enable comparisons across studies. RESULTS: A total of 11 studies met the inclusion criteria. There was insufficient evidence to determine whether computer-based PSMPs were superior to standard programs. However, it appeared that these interventions were effective when compared to no intervention. Interventions incorporating behavior change techniques beyond the provision of information appeared more effective than those that did not. CONCLUSION: Evidence from the current review, whilst limited, suggests that computer-based PSMPs, delivered in health-supported settings, show potential for changing health behaviors and improving clinical outcomes in patients with chronic illness. PRACTICE IMPLICATIONS: Although the approach shows promise, it is premature to recommend the integration of these interventions into clinical practice. However, more well designed trials are warranted to test their efficacy and cost-benefit.

Adherence to and consumption of nicotine replacement therapy and the relationship with abstinence within a smoking cessation trial in primary care.

INTRODUCTION: Nicotine replacement therapy (NRT) medications have been shown to be effective in increasing smoking cessation rates. There is, however, a lack of good evidence describing how individuals in primary care use these medications and which factors are likely to affect this. The study objectives are to describe adherence and consumption, examine key factors that may determine use, and examine the relationship between consumption of NRT and abstinence from smoking. METHODS: Secondary analysis of data from a randomized controlled trial conducted in smoking cessation services in primary care. Adult smokers (n = 633) starting a quit attempt within smoking cessation clinics were followed for 6 months, with NRT use closely monitored for an initial treatment period of 4 weeks. The main outcomes were 4-week adherence to prescribed NRT, mean daily consumption of NRT over the 4-week period, and abstinence from smoking at 4 weeks. RESULTS: Levels of adherence to prescribed NRT were high: more than 94% in participants who completed the treatment period. After controlling for possible confounders, prescribing higher doses of patch and oral NRT was associated with higher mean daily consumption of NRT. Using an inhalator to deliver oral NRT was associated with both higher adherence and higher consumption. The amount of NRT consumed predicted future abstinence when reverse causation was accounted for. CONCLUSIONS: Most individuals within a clinical trial in primary care who persisted with a quit attempt adhered closely to their prescription. Prescribing higher doses of NRT led to higher consumption and higher consumption to higher abstinence.

Change in anxiety following successful and unsuccessful attempts at smoking cessation: cohort study.

BACKGROUND: Despite a lack of empirical evidence, many smokers and health professionals believe that tobacco smoking reduces anxiety, which may deter smoking cessation. AIMS: The study aim was to assess whether successful smoking cessation or relapse to smoking after a quit attempt are associated with changes in anxiety. METHOD: A total of 491 smokers attending National Health Service smoking cessation clinics in England were followed up 6 months after enrolment in a trial of pharmacogenetic tailoring of nicotine replacement therapy (ISRCTN14352545). RESULTS: There was a points difference of 11.8 (95% CI 7.7-16.0) in anxiety score 6 months after cessation between people who relapsed to smoking and people who attained abstinence. This reflected a three-point increase in anxiety from baseline for participants who relapsed and a nine-point decrease for participants who abstained. The increase in anxiety in those who relapsed was largest for those with a current diagnosis of psychiatric disorder and whose main reason for smoking was to cope with stress. The decrease in anxiety on abstinence was larger for these groups also. CONCLUSIONS: People who achieve abstinence experience a marked reduction in anxiety whereas those who fail to quit experience a modest increase in the long term. These data contradict the assumption that smoking is a stress reliever, but suggest that failure of a quit attempt may generate anxiety.

Factors associated with differences in quit rates between "specialist" and "community" stop-smoking practitioners in the english stop-smoking services.

INTRODUCTION: Behavioral support improves smokers' chances of quitting, but quit rates are typically lower for smokers supported by "community practitioners" for whom smoking cessation is a small part of their job than for those supported by "specialist practitioners" for whom it is the main role. This article examined the factors that might contribute to this. METHOD: A total of 573 specialist practitioners and 466 community practitioners completed a 42-item online survey that covered demographic and employment information, current practices, levels of training, and 4-week CO-verified quit rates. Responses were compared for community and specialist practitioners. Mediation analysis was undertaken to assess how far "structural" and "modifiable" variables account for the difference in quit rates. RESULTS: Specialist practitioners reported higher 4-week CO-verified quit rates than community practitioners (63.6% versus 50.4%, p < .001). Practitioners also differed significantly in employment variables, evidence-based practices, and levels of training. Six "modifiable" variables (proportion of clients using an "abrupt" quit model, duration of first session, always advising on medications, number of days training received, number of sessions observed when starting work, and number of sessions having been observed in practice and received feedback) mediated the association between practitioners' role and quit rates over and above the "structural" variables, explaining 14.3%-35.7% of the variance in the total effect. CONCLUSIONS: "Specialist" practitioners in the English stop-smoking services report higher success rates than "community" practitioners and this is at least in part attributable to more extensive training and supervision and greater adherence to evidence-based practice including advising on medication usage and promoting abrupt rather than gradual quitting.

Translating evidence-based guidelines into practice: a survey of practices of commissioners and managers of the English stop smoking services.

BACKGROUND: The English National Health Service's (NHS) Stop Smoking Services (SSSs) constitute one of the most highly developed behavioural support programmes in the world. However, there is significant variation in success rates across the approximately 150 services, some of which may be due to variation in practice. This study aimed to assess these differences in practice. METHODS: Two online surveys were administered. All commissioners (people who purchase services for the NHS) and managers (those who run the services) of NHS SSSs in England were invited to participate. Items included details of current practices and services provided, what informed the commissioning of SSSs, what targets were included within service specifications and whether the types of treatment model to be delivered were specified. RESULTS: Both surveys had a response rate of 35%, with 50 commissioners and 58 managers participating. There were no significant differences between the characteristics of the Primary Care Trusts (PCTs) from which commissioners and managers responded to this survey and those PCTs from which there was no response. Managers reported that the treatment model most frequently offered by SSSs was one-to-one (98%). A total of 16% of managers reported that some approved medications were not available as first-line treatments. Just over one third (38%) of commissioners reported consulting national guidelines or best evidence to inform local commissioning. Almost one third (30%) of commissioners reported that they specified the types of stop smoking interventions to be delivered by the providers. CONCLUSIONS: A substantial part of commissioning of Stop Smoking Services in England appears to take place without adequate consultation of evidence-based guidelines or specification of the service to be provided. This may account for at least some of the variation in success rates.