Effectiveness of a telephone delivered and a face-to-face delivered counseling intervention for smoking cessation in patients with coronary heart disease: a 6-month follow-up

Differences in the effectiveness of individual-level smoking cessation interventions by socioeconomic status

BACKGROUND

People from lower socioeconomic groups are more likely to smoke and less likely to succeed in achieving abstinence, making tobacco smoking a leading driver of health inequalities. Contextual factors affecting subpopulations may moderate the efficacy of individual-level smoking cessation interventions. It is not known whether any intervention performs differently across socioeconomically-diverse populations and contexts.

OBJECTIVES

To assess whether the effects of individual-level smoking cessation interventions on combustible tobacco cigarette use differ by socioeconomic groups, and their potential impact on health equalities.

SEARCH METHODS

We searched the Cochrane Database of Systematic Reviews from inception to 1 May 2023 for Cochrane reviews investigating individual-level smoking cessation interventions. We selected studies included in these reviews that met our criteria. We contacted study authors to identify further eligible studies.

SELECTION CRITERIA

We included parallel, cluster or factorial randomised controlled trials (RCTs) investigating any individual-level smoking cessation intervention which encouraged complete cessation of combustible tobacco cigarette use compared to no intervention, placebo, or another intervention in adults. Studies must have assessed or reported smoking quit rates, split by any measure of socioeconomic status (SES) at longest follow-up (≥ six months), and been published in 2000 or later.

DATA COLLECTION AND ANALYSIS

We followed standard Cochrane methods for screening, data extraction, and risk of bias assessment. We assessed the availability of smoking abstinence data by SES in lieu of selective reporting. The primary outcome was smoking cessation quit rates, split by lower and higher SES, at the longest follow-up (≥ six months). Where possible, we calculated ratios of odds ratios (ROR) with 95% confidence intervals (CIs) for each study, comparing lower to higher SES. We pooled RORs by intervention type in random-effects meta-analyses, using the generic inverse-variance method. We subgrouped by type of SES indicator and economic classification of the study country. We summarised all evidence in effect direction plots and categorised the intervention impact on health equality as: positive (evidence that the relative effect of the intervention on quit rates was greater in lower rather than higher SES groups), possibly positive, neutral, possibly neutral, possibly negative, negative, no reported statistically significant difference, or unclear. We evaluated certainty using GRADE.

MAIN RESULTS

We included 77 studies (73 from high-income countries), representing 127,791 participants. We deemed 12 studies at low overall risk of bias, 13 at unclear risk, and the remaining 52 at high risk. Included studies investigated a range of pharmacological interventions, behavioural support, or combinations of these. Pharmacological interventions We found very low-certainty evidence for all the main pharmacological interventions compared to control. Evidence on cytisine (ROR 1.13, 95% CI 0.73 to 1.74; 1 study, 2472 participants) and nicotine electronic cigarettes (ROR 4.57, 95% CI 0.88 to 23.72; 1 study, 989 participants) compared to control indicated a greater relative effect of these interventions on quit rates in lower compared to higher SES groups, suggesting a possibly positive impact on health equality. CIs for both estimates included the possibility of no clinically important difference and of favouring higher SES groups. There was a lower relative effect of bupropion versus placebo on quit rates in lower compared to higher SES groups, indicating a possibly negative impact on health equality (ROR 0.05, 95% CI 0.00 to 1.00; from 1 of 2 studies, 354 participants; 1 study reported no difference); however, the CI included the possibility of no clinically important difference. We could not determine the intervention impact of combination or single-form nicotine replacement therapy on relative quit rates by SES. No studies on varenicline versus control were included. Behavioural interventions We found low-certainty evidence of lower quit rates in lower compared to higher SES groups for print-based self-help (ROR 0.85, 95% CI 0.52 to 1.38; 3 studies, 4440 participants) and text-messaging (ROR 0.76, 95% CI 0.47 to 1.23; from 3 of 4 studies, 5339 participants; 1 study reported no difference) versus control, indicating a possibly negative impact on health equality. CIs for both estimates included the possibility of no clinically important difference and of favouring lower SES groups. There was very low-certainty evidence of quit rates favouring higher SES groups for financial incentives compared to balanced intervention components. However, the CI included the possibility of no clinically important difference and of favouring lower SES groups (ROR 0.91, 95% CI 0.45 to 1.85; from 5 of 6 studies, 3018 participants; 1 study reported no difference). This indicates a possibly negative impact on health equality. There was very low-certainty evidence of no difference in quit rates by SES for face-to-face counselling compared to less intensive counselling, balanced components, or usual care. However, the CI included the possibility of favouring lower and higher SES groups (ROR 1.26, 95% CI 0.18 to 8.93; from 1 of 6 studies, 294 participants; 5 studies reported no difference), indicating a possibly neutral impact. We found very low-certainty evidence of a greater relative effect of telephone counselling (ROR 4.31, 95% CI 1.28 to 14.51; from 1 of 7 studies, 903 participants; 5 studies reported no difference, 1 unclear) and internet interventions (ROR 1.49, 95% CI 0.99 to 2.25; from 1 of 5 studies, 4613 participants; 4 studies reported no difference) versus control on quit rates in lower versus higher SES groups, suggesting a possibly positive impact on health equality. The CI for the internet intervention estimate included the possibility of no difference. Although the CI for the telephone counselling estimate only favoured lower SES groups, most studies narratively reported no clear evidence of interaction effects.

AUTHORS' CONCLUSIONS

Currently, there is no clear evidence to support the use of differential individual-level smoking cessation interventions for people from lower or higher SES groups, or that any one intervention would have an effect on health inequalities. This conclusion may change as further data become available. Many studies did not report sufficient data to be included in a meta-analysis, despite having tested the association of interest. Further RCTs should collect, analyse, and report quit rates by measures of SES, to inform intervention development and ensure recommended interventions do not exacerbate but help reduce health inequalities caused by smoking.

Process and effect evaluation of a referral aid for smoking cessation counselling in primary care: Findings of a randomized controlled trial

INTRODUCTION

This study explored the use and effects of a smoking cessation referral in: 1) practice nurses (PNs), and 2) smokers. The use of evidence-based smoking cessation interventions (EBSCIs) can double the likelihood of a successful smoking cessation attempt. A referral aid was developed to aid Dutch PNs in primary care in deciding which smokers are the most suitable for EBSCI.

METHODS

Two different studies were conducted: 1) a randomized controlled trial with a process evaluation (n=82) and effect evaluation (n=285) among smoking patients recruited by PNs (n=73), and 2) a process evaluation among a subgroup of PNs (n=40) from January 2019 to September 2020.

RESULTS

Overall, the response in both groups was low. PNs found the referral aid materials clear and understandable. Smokers had similar but (slightly) less-positive opinions. The smokers in both groups did not differ in the amount of discussion and use of EBSCIs, nor on smoking abstinence.

CONCLUSIONS

Further research should assess how to better involve PNs and smokers when recruiting for an RCT and how to foster effective counselling. Additional research should also look deeper into barriers to referral of both PNs and smokers, and how to stimulate referral to EBSCIs best and help smokers to make a decision; for example by implementing a simplified strategy both within the primary care setting and outside, by involving other healthcare professionals or options outside healthcare such as the workplace and social domain.

Trial registration

The study was registered at the Netherlands Trial Register (NL7020, https://www.trialregister.nl/trial/7020).

Telephone versus face-to-face consultation on smoking cessation at primary health care centers in Qatar during COVID-19 pandemic

Smoking cessation leads to a reduction in risks of smoking-related morbidity and mortality. During the coronavirus 2019 (COVID-19) pandemic, smoking cessation services were interrupted. Providing smoking cessation counseling by telephone could be a convenient and safe alternative to traditional face-to-face service. However, the effectiveness of telephone smoking cessation counseling has not yet been thoroughly investigated. This study evaluated telephone smoking cessation counseling compared to face-to-face consultations during the COVID-19 era. In addition, it investigated the association between sociodemographic and health-related factors and cessation rates. A retrospective cohort design was used. Participants were randomly selected from two lists: (1) telephone counseling and (2) face-to-face counseling in smoking cessation clinics in five primary health care centers in Qatar between March 2020 and March 2021. Cessation rates were compared between the two groups at 1, 2, 4, 8, and 12 weeks. A multivariable logistic regression analysis was used to identify the significant associations with smoking cessation. Smokers who underwent telephone consultations had significantly lower quit rates at all follow-ups compared to those who attended face-to-face visits. At the 12-week follow-up, the adjusted odd ratio for quitting through face-to-face consultations was 1.96 (95% CI [1.15-3.35]) times higher than that achieved through telephone consultations. In addition to receiving face-to-face counseling, higher self-efficacy to cease smoking was an independent predictor of successful cessation. Providing smoking cessation counseling by telephone could be a safer but less effective mode of delivery versus traditional face-to-face encounters during the pandemic.

Barriers to Building More Effective Treatments: Negative Interactions Amongst Smoking Intervention Components

Meaningfully improved mental and behavioral health treatment is an unrealized dream. Across three factorial experiments, inferential tests in prior studies showed a pattern of negative interactions suggesting that better clinical outcomes are obtained when participants receive fewer rather than more intervention components. Further, relatively few significant main effects were found in these experiments. Modeling suggested that negative interactions amongst components may account for these patterns. This paper evaluates factors that may contribute to such declining benefit: increased attentional or effort burden; components that produce their effects via the same capacity limited mechanisms, making their effects subadditive; and a tipping point phenomenon in which those near a hypothesized "tipping point" for change will benefit markedly from weak intervention while those far from the tipping point will benefit little from even strong intervention. New research should explore factors that cause negative interactions amongst components and constrain the development of more effective treatments.

The Effect of Individual and Group Education Done by Nurses on Smoking Dependency and Smoking Cessation Motivation in Patients with Coronary Artery Disease

Background

This study was carried out to reveal the effect of individual and group education done by a nurse on smoking dependency and smoking cessation motivation in patients with coronary artery disease (CAD).

Methods

The present randomized controlled trial study was conducted in Iran. A total of 255 patients were randomly divided into three groups: 1) individual education, 2) group education, and 3) control. Data were collected using the Fagerstrom Test of Nicotine Dependence (FTND) and Smoking Cessation Motivation Questionnaire (Q-MAT) one time before the intervention and two times after intervention (1^st and 3^rd months).

Findings

The mean scores of motivation for smoking cessation and smoking dependency in patients in the individual and group education were significantly better than the control group after the intervention (1^st and 3^rd months) (P < 0.05). Although there was no significant difference in the mean scores of smoking cessation motivation and smoking dependency in patients in the individual education and group education groups after education, the status of the patients in the group education was slightly better.

Conclusion

Education by nurses might have a significant impact on smoking cessation motivation and smoking dependency in patients with CAD. Further studies are recommended.

A Snapshot of Pre- and Post-intervention Changes Among Cardiovascular Disease Patients Participating in the New Smoking Cessation Program

BACKGROUND

The study evaluates the changes of pre and post stages of behavioral change, motivation level, and smoking status among cardiovascular disease patients, participating in the new smoking cessation program in Hospital Tengku Ampuan Afzan, Kuantan.

METHODS

A total of 65 adult cardiac patients were randomly distributed into two groups, i.e., intervention and control group, who were baseline smokers and assessed in three phases. Initially, the first, second, and third phase collected the information about their demographic details, their smoking status, and smoking status using cotinine amylase strip, respectively.

RESULTS

It showed that behavioral change was significant for the control group (P value = 0.031), while motivation level improved for both groups (i.e., control, P value = 0.000 and intervention group, P value = 0.001). The smoke quitting status percentage was higher for intervention group 41.9% and lower for control group 20.6%; however, the P value was insignificant for both control group (1.000) and intervention group (0.250).

CONCLUSIONS

This study suggests a need for more personal testimonial videos to focus on other smoking-related diseases.

Additional behavioural support as an adjunct to pharmacotherapy for smoking cessation

BACKGROUND

Pharmacotherapies for smoking cessation increase the likelihood of achieving abstinence in a quit attempt. It is plausible that providing support, or, if support is offered, offering more intensive support or support including particular components may increase abstinence further.

OBJECTIVES

To evaluate the effect of adding or increasing the intensity of behavioural support for people using smoking cessation medications, and to assess whether there are different effects depending on the type of pharmacotherapy, or the amount of support in each condition. We also looked at studies which directly compare behavioural interventions matched for contact time, where pharmacotherapy is provided to both groups (e.g. tests of different components or approaches to behavioural support as an adjunct to pharmacotherapy).

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register, clinicaltrials.gov, and the ICTRP in June 2018 for records with any mention of pharmacotherapy, including any type of nicotine replacement therapy (NRT), bupropion, nortriptyline or varenicline, that evaluated the addition of personal support or compared two or more intensities of behavioural support.

SELECTION CRITERIA

Randomised or quasi-randomised controlled trials in which all participants received pharmacotherapy for smoking cessation and conditions differed by the amount or type of behavioural support. The intervention condition had to involve person-to-person contact (defined as face-to-face or telephone). The control condition could receive less intensive personal contact, a different type of personal contact, written information, or no behavioural support at all. We excluded trials recruiting only pregnant women and trials which did not set out to assess smoking cessation at six months or longer.

DATA COLLECTION AND ANALYSIS

For this update, screening and data extraction followed standard Cochrane methods. The main outcome measure was abstinence from smoking after at least six months of follow-up. We used the most rigorous definition of abstinence for each trial, and biochemically-validated rates, if available. We calculated the risk ratio (RR) and 95% confidence interval (CI) for each study. Where appropriate, we performed meta-analysis using a random-effects model.

MAIN RESULTS

Eighty-three studies, 36 of which were new to this update, met the inclusion criteria, representing 29,536 participants. Overall, we judged 16 studies to be at low risk of bias and 21 studies to be at high risk of bias. All other studies were judged to be at unclear risk of bias. Results were not sensitive to the exclusion of studies at high risk of bias. We pooled all studies comparing more versus less support in the main analysis. Findings demonstrated a benefit of behavioural support in addition to pharmacotherapy. When all studies of additional behavioural therapy were pooled, there was evidence of a statistically significant benefit from additional support (RR 1.15, 95% CI 1.08 to 1.22, I² = 8%, 65 studies, n = 23,331) for abstinence at longest follow-up, and this effect was not different when we compared subgroups by type of pharmacotherapy or intensity of contact. This effect was similar in the subgroup of eight studies in which the control group received no behavioural support (RR 1.20, 95% CI 1.02 to 1.43, I² = 20%, n = 4,018). Seventeen studies compared interventions matched for contact time but that differed in terms of the behavioural components or approaches employed. Of the 15 comparisons, all had small numbers of participants and events. Only one detected a statistically significant effect, favouring a health education approach (which the authors described as standard counselling containing information and advice) over motivational interviewing approach (RR 0.56, 95% CI 0.33 to 0.94, n = 378).

AUTHORS' CONCLUSIONS

There is high-certainty evidence that providing behavioural support in person or via telephone for people using pharmacotherapy to stop smoking increases quit rates. Increasing the amount of behavioural support is likely to increase the chance of success by about 10% to 20%, based on a pooled estimate from 65 trials. Subgroup analysis suggests that the incremental benefit from more support is similar over a range of levels of baseline support. More research is needed to assess the effectiveness of specific components that comprise behavioural support.

Telephone counselling for smoking cessation

BACKGROUND

Telephone services can provide information and support for smokers. Counselling may be provided proactively or offered reactively to callers to smoking cessation helplines.

OBJECTIVES

To evaluate the effect of telephone support to help smokers quit, including proactive or reactive counselling, or the provision of other information to smokers calling a helpline.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register, clinicaltrials.gov, and the ICTRP for studies of telephone counselling, using search terms including 'hotlines' or 'quitline' or 'helpline'. Date of the most recent search: May 2018.

SELECTION CRITERIA

Randomised or quasi-randomised controlled trials which offered proactive or reactive telephone counselling to smokers to assist smoking cessation.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures expected by Cochrane. We pooled studies using a random-effects model and assessed statistical heterogeneity amongst subgroups of clinically comparable studies using the I2 statistic. In trials including smokers who did not call a quitline, we used meta-regression to investigate moderation of the effect of telephone counselling by the planned number of calls in the intervention, trial selection of participants that were motivated to quit, and the baseline support provided together with telephone counselling (either self-help only, brief face-to-face intervention, pharmacotherapy, or financial incentives).

MAIN RESULTS

We identified 104 trials including 111,653 participants that met the inclusion criteria. Participants were mostly adult smokers from the general population, but some studies included teenagers, pregnant women, and people with long-term or mental health conditions. Most trials (58.7%) were at high risk of bias, while 30.8% were at unclear risk, and only 11.5% were at low risk of bias for all domains assessed. Most studies (100/104) assessed proactive telephone counselling, as opposed to reactive forms.Among trials including smokers who contacted helplines (32,484 participants), quit rates were higher for smokers receiving multiple sessions of proactive counselling (risk ratio (RR) 1.38, 95% confidence interval (CI) 1.19 to 1.61; 14 trials, 32,484 participants; I2 = 72%) compared with a control condition providing self-help materials or brief counselling in a single call. Due to the substantial unexplained heterogeneity between studies, we downgraded the certainty of the evidence to moderate.In studies that recruited smokers who did not call a helpline, the provision of telephone counselling increased quit rates (RR 1.25, 95% CI 1.15 to 1.35; 65 trials, 41,233 participants; I2 = 52%). Due to the substantial unexplained heterogeneity between studies, we downgraded the certainty of the evidence to moderate. In subgroup analysis, we found no evidence that the effect of telephone counselling depended upon whether or not other interventions were provided (P = 0.21), no evidence that more intensive support was more effective than less intensive (P = 0.43), or that the effect of telephone support depended upon whether or not people were actively trying to quit smoking (P = 0.32). However, in meta-regression, telephone counselling was associated with greater effectiveness when provided as an adjunct to self-help written support (P < 0.01), or to a brief intervention from a health professional (P = 0.02); telephone counselling was less effective when provided as an adjunct to more intensive counselling. Further, telephone support was more effective for people who were motivated to try to quit smoking (P = 0.02). The findings from three additional trials of smokers who had not proactively called a helpline but were offered telephone counselling, found quit rates were higher in those offered three to five telephone calls compared to those offered just one call (RR 1.27, 95% CI 1.12 to 1.44; 2602 participants; I2 = 0%).

AUTHORS' CONCLUSIONS

There is moderate-certainty evidence that proactive telephone counselling aids smokers who seek help from quitlines, and moderate-certainty evidence that proactive telephone counselling increases quit rates in smokers in other settings. There is currently insufficient evidence to assess potential variations in effect from differences in the number of contacts, type or timing of telephone counselling, or when telephone counselling is provided as an adjunct to other smoking cessation therapies. Evidence was inconclusive on the effect of reactive telephone counselling, due to a limited number studies, which reflects the difficulty of studying this intervention.

Nursing interventions for smoking cessation

BACKGROUND

Healthcare professionals, including nurses, frequently advise people to improve their health by stopping smoking. Such advice may be brief, or part of more intensive interventions.

OBJECTIVES

To determine the effectiveness of nursing-delivered smoking cessation interventions in adults. To establish whether nursing-delivered smoking cessation interventions are more effective than no intervention; are more effective if the intervention is more intensive; differ in effectiveness with health state and setting of the participants; are more effective if they include follow-ups; are more effective if they include aids that demonstrate the pathophysiological effect of smoking.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialized Register and CINAHL in January 2017.

SELECTION CRITERIA

Randomized trials of smoking cessation interventions delivered by nurses or health visitors with follow-up of at least six months.

DATA COLLECTION AND ANALYSIS

Two review authors extracted data independently. The main outcome measure was abstinence from smoking after at least six months of follow-up. We used the most rigorous definition of abstinence for each trial, and biochemically-validated rates if available. Where statistically and clinically appropriate, we pooled studies using a Mantel-Haenszel fixed-effect model and reported the outcome as a risk ratio (RR) with a 95% confidence interval (CI).

MAIN RESULTS

Fifty-eight studies met the inclusion criteria, nine of which are new for this update. Pooling 44 studies (over 20,000 participants) comparing a nursing intervention to a control or to usual care, we found the intervention increased the likelihood of quitting (RR 1.29, 95% CI 1.21 to 1.38); however, statistical heterogeneity was moderate (I² = 50%) and not explained by subgroup analysis. Because of this, we judged the quality of evidence to be moderate. Despite most studies being at unclear risk of bias in at least one domain, we did not downgrade the quality of evidence further, as restricting the main analysis to only those studies at low risk of bias did not significantly alter the effect estimate. Subgroup analyses found no evidence that high-intensity interventions, interventions with additional follow-up or interventions including aids that demonstrate the pathophysiological effect of smoking are more effective than lower intensity interventions, or interventions without additional follow-up or aids. There was no evidence that the effect of support differed by patient group or across healthcare settings.

AUTHORS' CONCLUSIONS

There is moderate quality evidence that behavioural support to motivate and sustain smoking cessation delivered by nurses can lead to a modest increase in the number of people who achieve prolonged abstinence. There is insufficient evidence to assess whether more intensive interventions, those incorporating additional follow-up, or those incorporating pathophysiological feedback are more effective than one-off support. There was no evidence that the effect of support differed by patient group or across healthcare settings.

The effect of hydroxy safflower yellow A on coronary heart disease through Bcl-2/Bax and PPAR-γ

The aim of the present study was to investigate the effect of hydroxy safflower yellow A (HSYA) on coronary heart disease through assessing the expression of B-cell lymphoma 2 (Bcl-2)/Bcl-2-like protein 4 (Bax) and peroxisome proliferator-activated receptor (PPAR)-γ. Coronary heart disease was induced in male Bama miniature swines via thoracoscope to serve as an animal model. Coronary heart disease swine were lavaged with 20 or 40 mg/kg HSYA. The mRNA levels of tumor necrosis factor (TNF)-α, interleukin (IL)-1β, IL-6, IL-10, cyclooxygenase-2 (COX-2) and inducible nitric oxide synthase (iNOS) were detected using reverse transcription-quantitative polymerase chain reaction. The protein expression of Bcl-2, Bax, PPAR-γ, phosphorylation of Janus kinase (JAK)2 and phosphorylation of signal transducer and activator of transcription (STAT)3 were detected using western blot analysis. Treatment with HSYA significantly suppressed the mRNA levels of IL-1β (P<0.01), IL-6 (P<0.01), TNF-α (P<0.01), COX-2 (P<0.01) and iNOS (P<0.01), and significantly increased IL-10 mRNA level in the coronary heart disease model (P<0.01). Furthermore, HSYA treatment significantly decreased the Bcl-2/Bax ratio (P<0.01) in the coronary heart disease model group, and enhanced the phosphorylation of JAK2/STAT3 pathway (P<0.01). However, HSYA had no significant effect on the expression of PPAR-γ protein. The results of the present study suggest that HSYA is able to weaken coronary heart disease via inflammation, Bcl-2/Bax and the PPAR-γ signaling pathway.

Individual behavioural counselling for smoking cessation

BACKGROUND

Individual counselling from a smoking cessation specialist may help smokers to make a successful attempt to stop smoking.

OBJECTIVES

The review addresses the following hypotheses:1. Individual counselling is more effective than no treatment or brief advice in promoting smoking cessation.2. Individual counselling is more effective than self-help materials in promoting smoking cessation.3. A more intensive counselling intervention is more effective than a less intensive intervention.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialized Register for studies with counsel* in any field in May 2016.

SELECTION CRITERIA

Randomized or quasi-randomized trials with at least one treatment arm consisting of face-to-face individual counselling from a healthcare worker not involved in routine clinical care. The outcome was smoking cessation at follow-up at least six months after the start of counselling.

DATA COLLECTION AND ANALYSIS

Both authors extracted data in duplicate. We recorded characteristics of the intervention and the target population, method of randomization and completeness of follow-up. We used the most rigorous definition of abstinence in each trial, and biochemically-validated rates where available. In analysis, we assumed that participants lost to follow-up continued to smoke. We expressed effects as a risk ratio (RR) for cessation. Where possible, we performed meta-analysis using a fixed-effect (Mantel-Haenszel) model. We assessed the quality of evidence within each study using the Cochrane 'Risk of bias' tool and the GRADE approach.

MAIN RESULTS

We identified 49 trials with around 19,000 participants. Thirty-three trials compared individual counselling to a minimal behavioural intervention. There was high-quality evidence that individual counselling was more effective than a minimal contact control (brief advice, usual care, or provision of self-help materials) when pharmacotherapy was not offered to any participants (RR 1.57, 95% confidence interval (CI) 1.40 to 1.77; 27 studies, 11,100 participants; I2 = 50%). There was moderate-quality evidence (downgraded due to imprecision) of a benefit of counselling when all participants received pharmacotherapy (nicotine replacement therapy) (RR 1.24, 95% CI 1.01 to 1.51; 6 studies, 2662 participants; I2 = 0%). There was moderate-quality evidence (downgraded due to imprecision) for a small benefit of more intensive counselling compared to brief counselling (RR 1.29, 95% CI 1.09 to 1.53; 11 studies, 2920 participants; I2 = 48%). None of the five other trials that compared different counselling models of similar intensity detected significant differences.

AUTHORS' CONCLUSIONS

There is high-quality evidence that individually-delivered smoking cessation counselling can assist smokers to quit. There is moderate-quality evidence of a smaller relative benefit when counselling is used in addition to pharmacotherapy, and of more intensive counselling compared to a brief counselling intervention.

High intensity smoking cessation interventions: Cardiac patients of low socioeconomic status and low intention to quit profit most

Background

Without assistance, smokers being admitted to the hospital for coronary heart disease often return to regular smoking within a year.

Objective

This study assessed the 12-month effectiveness of a telephone and a face-to-face counselling intervention on smoking abstinence among cardiac patients. Differential effects for subgroups varying in their socioeconomic status and intention to quit smoking were also studied.

Methods

A randomised controlled trial was used. During hospital stay, smokers hospitalised for coronary heart disease were assigned to usual care (n = 245), telephone counselling (n = 223) or face-to-face counselling (n = 157). Eligible patients were allocated to an intervention counselling group and received nicotine patches. After 12 months, self-reported continued abstinence was assessed and biochemically verified in quitters. Effects on smoking abstinence were tested using multilevel logistic regression analyses applying the intention-to-treat approach.

Results

Compared with usual care, differential effects of telephone and face-to-face counselling on continued abstinence were found in patients with a low socioeconomic status and in patients with a low quit intention. For these patients, telephone counselling increased the likelihood of abstinence threefold (OR = 3.10, 95 % CI 1.32–7.31, p = 0.01), whereas face-to-face counselling increased this likelihood fivefold (OR = 5.30, 95 % CI 2.13–13.17, p < 0.001). Considering the total sample, the interventions did not result in stronger effects than usual care.

Conclusion

Post-discharge telephone and face-to-face counselling interventions increased smoking abstinence rates at 12 months compared with usual care among cardiac patients of low socioeconomic status and low quit intentions. The present study indicates that patients of high socioeconomic status and high quit motivation require different cessation approaches.

Can We Identify the Active Ingredients of Behaviour Change Interventions for Coronary Heart Disease Patients? A Systematic Review and Meta-Analysis

Background

The main behaviour change intervention available for coronary heart disease (CHD) patients is cardiac rehabilitation. There is little recognition of what the active ingredients of behavioural interventions for CHD might be. Using a behaviour change technique (BCT) framework to code existing interventions may help to identify this. The objectives of this systematic review are to determine the effectiveness of CHD behaviour change interventions and how this may be explained by BCT content and structure.

Methods and Findings

A systematic search of Medline, EMBASE and PsycInfo electronic databases was conducted over a twelve year period (2003–2015) to identify studies which reported on behaviour change interventions for CHD patients. The content of the behaviour change interventions was coded using the Coventry Aberdeen and London—Refined (CALO-RE) taxonomy. Meta-regression analyses examined the BCT content as a predictor of mortality. Twenty two papers met the criteria for this review, reporting data on 16,766 participants. The most commonly included BCTs were providing information, and goal setting. There was a small but significant effect of the interventions on smoking (risk ratio (RR) = 0.89, 95% CI 0.81–0.97). The interventions did not reduce the risk of CHD events (RR = 0.86, 95% CI 0.68, 1.09), but significantly reduced the risk of mortality (RR = 0.82, 95% CI 0.69, 0.97). Sensitivity analyses did not find that any of the BCT variables predicted mortality and the number of BCTs included in an intervention was not associated with mortality (β = -0.02, 95% CI -0.06–0.03).

Conclusions

Behaviour change interventions for CHD patients appear to have a positive impact on a number of outcomes. Using an existing BCT taxonomy to code the interventions helped us to understand which were the most commonly used techniques, providing information and goal setting, but not the active components of these complex interventions.

The effect of a text message and telephone follow-up program on cardiac self-efficacy of patients with coronary artery disease: A randomized controlled trial

Background:

Cardiac self-efficacy is an essential factor in persistence of healthy behaviors in patients with coronary artery disease (CAD). Today, telenursing methods have numerous applications in health care. Therefore, this study aimed to determine the effect of a text message and telephone follow-up program on cardiac self-efficacy of patients with CAD.

Materials and Methods:

This was a randomized controlled trial on 70 patients with CAD who were hospitalized in Shahid Chamran Hospital (Isfahan, Iran). The participants were randomly assigned to the experimental and control groups. Collection of data on cardiac self-efficacy was performed before, 3 months after, and 4 months after the beginning of the intervention using Cardiac Self-Efficacy Scale designed by Sullivan et al. During the 3 months of intervention, six messages were sent to the subjects each week and calls were made twice a week in the first month and once a week during the second and third months. The statistical analysis of data was performed using independent t-test, Chi-square, Mann-Whitney U test, and repeated measures analysis of variance (ANOVA).

Results:

Before the intervention, there was no significant difference between the mean scores of cardiac self-efficacy of the two groups. However, 3 months and 4 months after the beginning of the intervention, the mean score of cardiac self-efficacy in the experimental group was significantly higher than in the control group (P < 0.001).

Conclusions:

The text message and telephone follow-up program is effective in promoting the cardiac self-efficacy of patients with CAD.

Effectiveness of additional follow-up telephone counseling in a smoking cessation clinic in Beijing and predictors of quitting among Chinese male smokers

BACKGROUND

No previous studies have investigated whether additional telephone follow-up counseling sessions after face-to-face counseling can increase quitting in China, and whether this strategy is feasible and effective for promoting smoking cessation is still unclear.

METHODS

A non-randomized controlled study was conducted in Beijing. We compared the quit rates of one group which received face-to-face counseling (FC) alone (one session of 40 min) to another group which received the same face-to-face counseling plus four follow-up sessions of brief telephone counseling (15-20 min each) at 1 week, 1, 3 and 6 month follow-up (FCF). No smoking cessation medication was provided. From October 2008 to August 2013, Chinese male smokers who sought treatment in a part-time regular smoking cessation clinic of a large general hospital in Beijing were invited to participate in the present study. Eligible male smokers (n = 547) were divided into two groups: FC (n = 149) and FCF (n = 398). Main outcomes were self-reported 7-day point prevalence and 6 month continuous quit rates at 12 month follow-up.

RESULTS

By intention to treat, at 12 month follow-up, the 7-day point prevalence and 6 month continuous quit rates of FC and FCF were 14.8 % and 26.4 %, and 10.7 % and 19.6 % respectively. The adjusted odds ratios (95 % confidence intervals) of quitting in FCF compared to FC was 2.34 (1.34-4.10) (P = 0.003) and 2.41 (1.28-4.52) (P = 0.006), respectively. Stepwise logistic regression showed that FCF, being married, unemployed and a lower Fagerström score were significant independent predictors of 6 month continuous quitting at 12 month follow-up.

CONCLUSIONS

Using systematically collected data from real-world practice, our smoking cessation clinic has shown that the additional telephone follow-up counseling sessions doubled the quit rate.

Prevalence and correlates of healthy lifestyle behaviors among early cancer survivors

Background

Healthy lifestyle behaviors have been demonstrated to be beneficial for positive health outcomes and the quality of life in cancer survivors. However, adherence to recommendations is low. More insight is needed in factors that may explain engagement in lifestyle behaviors to develop effective cancer aftercare interventions. This study assessed different factors, namely socio-demographic, cancer-related, psychological, social cognitive factors (attitude, social support, self-efficacy) and intention, in relationship to five lifestyle behaviors (smoking, physical activity, alcohol, and fruit and vegetable consumption).

Methods

Early survivors of various types of cancer were recruited from eighteen Dutch Hospitals (n = 255). Distal factors (socio-demographic, cancer related, psychological), proximal factors (social cognitive), intention and five lifestyle behaviors (smoking, physical activity, alcohol, fruit and vegetable consumption) were assessed through a self-reported questionnaire. Cross-sectional analyses (correlations and regression analyses) were conducted.

Results

The lifestyle of a small group (11 %) of the cancer survivors was coherent with all five health recommendations, the majority (>80 %) adhered to two, three of four recommendations, and only few (<7 %) adhered to one or none recommendation. The highest prevalence in followed recommendations have been detected in physical activity (87.4 %), refrain from smoking (82 %), and alcohol consumption (75.4 %). There was low adherence to the fruit recommendation (54.8 %) and to the vegetable recommendation (27.4 %). Only weak associations were found between the different behaviors. Each separate lifestyle behavior was influenced by different patterns of correlates. Self-efficacy, attitude, and intention were the strongest correlates in all examined behaviors, although with various contributions, while socio-demographic, cancer-related and psychological factors provided a much smaller contribution.

Conclusions

Outcomes of engagement in healthy lifestyle behaviors were more positive in this study compared to other research in cancer survivors; however, there is room for improvements in adherence to all five lifestyle behaviors. Especially fruit consumption was poor and vegetable consumption even worse. Our findings emphasized that all examined lifestyle behaviors need to be encouraged, with taken into account that each lifestyle behavior may be influenced by a specific set of mainly social cognitive factors or intention.

Relationship between education levels and booster counselling sessions on smoking cessation among Chinese smokers

OBJECTIVES

Although various effective interventions are available to help individuals quit smoking, the effect of educational levels on cessation rates has rarely been studied, and of the few intervention studies on this topic, the results have been conflicting.

DESIGN AND SETTING

From October 2008 to August 2013, a partly retrospective non-randomised study was conducted in a smoking cessation clinic of a large general hospital in Beijing, China.

PARTICIPANTS

In total, 547 Chinese smokers who sought treatment were divided into two groups: a face-to-face counselling group (FC, n=149) and an FC group subjected to four telephone follow-up sessions (FCF, n=398).

OUTCOMES

We evaluated self-reported cessation rates by day 7 and after 6 and 12 months and stratified the two groups by education levels.

RESULTS

The 7-day and 6-month and 12-month continuous cessation rates of smokers of low education levels in the FC group at the time of the 12-month follow-up were 12.5%, 7.1% and 7.1%, respectively, which were lower than those of the highly educated smokers (16.1%, 12.9% and 9.7%, respectively). The results were opposite for the FCF group. The corresponding results for the highly educated smokers of the FCF group were 25.0%, 17.2% and 10.3%, respectively, which were lower than those for the smokers of low education levels (28.3%, 22.9% and 18.1%, respectively). However, significant differences were observed only among the FCF group participants who had experienced 12 months of continuous abstinence, and the crude OR for these individuals was recorded at 0.52 (0.29 to 0.93), p=0.03. A stepwise logistic regression showed that education levels may play a role in various intervention methods. Being married and higher Fagerström test scores were also predictors of cessation tendencies.

CONCLUSIONS

Education levels may affect the benefits of booster counselling sessions on smoking cessation among Chinese smokers.

Effect of self - care education on quality of life in patients with primary hypertension: comparing lecture and educational package

Background:

Hypertension is a dangerous risk factor for public health. It profoundly affects the patients’ quality of life. However, there is lack of agreement on the best method for self-care management in patients with hypertension.

Objectives:

This study was conducted to compare the effect of lecture and educational pamphlets on quality of life (QOL) in patients with primary hypertension.

Patients and Methods:

A quasi-experimental study was performed on 90 patients with chronic primary hypertension referred to two outpatient clinics in Kashan city. Patients were randomly divided into three groups including lecture group, educational package group, and control group. The participants’ quality of life was measured using the SF-36 questionnaire at the beginning of the study, and two months later. Data was analyzed using ANOVA and Chi-Square tests.

Results:

No significant differences were observed between the three groups for demographics characteristics and QOL before the intervention except for marital status. Mean scores of QOL dimensions of the intervention groups were increased at the end of the study, except for the dimension of bodily pain. Tukey post-Hoc test showed that except for general health, the two intervention groups were not significantly different in other dimensions, and significant differences were observed between the control group and the two intervention groups (P < 0.05). At start and the end of the study, the mean differences in the general health dimension in three groups were 2.25 ± 0.1, 0.07 ± 0.01, and -1.70 ± 0.01 respectively. There were significant differences among groups (P = 0.04).

Conclusions:

Lecture and educational package can both improve some dimensions of the QOL in patients with hypertension. However, as pamphlets are cheap and easy to use, this method may be used as an effective method for self-care education in health care settings in Iran, where the system is faced with nursing shortage.