Interventions to increase adherence to medications for tobacco dependence

Real-World Treatment Adherence to Smoking Cessation Medications and Association with Treatment Outcome - 27 Centers, China, 2017-2022

What is already known about this topic?

Medication non-adherence significantly impedes smoking cessation efforts. While effective smoking cessation medications are accessible in China, real-world adherence and its correlation with treatment outcomes remain largely unexplored.

What is added by this report?

From December 2017 to January 2022, 1,120 participants were recruited from 27 centers in all seven geographical regions of China. Results revealed that only 38.2% of smokers adhered to the prescribed 12-week smoking cessation treatment and those with a higher education level were more likely to be adherent. In addition, smokers with good adherence were more likely to successfully quit smoking.

What are the implications for public health practice?

The data obtained could enhance our understanding of smoking cessation practices in China. Improving adherence is a crucial strategy to enhance the effectiveness of smoking cessation treatments and management provided to smokers.

Identifying determinants of varenicline adherence using the Theoretical Domains framework: a rapid review

BACKGROUND

Adhering to varenicline has been shown to significantly improve the chances of successfully quitting smoking, with studies indicating a twofold increase in 6-month quit rates. However, despite its potential benefits, many individuals struggle with maintaining good adherence to varenicline; thus there is a need to develop scalable strategies to help people adhere. As a first step to inform the development of an intervention to improve adherence to varenicline, we conducted a rapid literature review to identify: 1) modifiable barriers and facilitators to varenicline adherence, and 2) behaviour change techniques associated with increased adherence to varenicline.

METHODS

We searched MEDLINE, Embase, APA PsycINFO, CINAHL, and the Cochrane Central Register of Controlled Trials for relevant studies published between 2006 and 2022. Search terms included "varenicline," "smoking cessation," and "adherence," and their respective subject headings and synonyms. We screened and included studies reporting modifiable determinants of adherence to varenicline and then assessed quality, extracted modifiable determinants and mapped them to the Theoretical Domains Framework version 2 and the Behaviour Change Technique Taxonomy version 1.

RESULTS

A total of 1,221 titles were identified through the database searches; 61 met the eligibility criteria. Most of the studies were randomized controlled trials and predominantly focused on barriers to varenicline. Only nine studies explicitly mentioned behaviour change techniques used to help varenicline adherence. Eight domains were identified as barriers to varenicline adherence (behavioural regulation, memory, goals, intentions, beliefs about capabilities, beliefs about consequences, optimism/pessimism, and environmental context) and five as facilitators (knowledge, behavioural regulation, beliefs about capabilities, social influences, and environmental context).

CONCLUSIONS

This study identifies barriers and facilitators that should be addressed when developing a complex adherence intervention tailored to patients' needs based on modifiable determinants of medication adherence, some of which are under- used by existing adherence interventions. The findings from this review will inform the design of a theory-based healthbot planned to improve varenicline adherence in people undergoing smoking cessation treatment.

SYSTEMATIC REVIEW REGISTRATION

This study was registered with PROSPERO (# CRD42022321838).

Testing the feasibility of the QuitAid smoking cessation intervention in a randomized factorial design in an independent, rural community pharmacy

BACKGROUND

Adult smoking rates in the USA are highest in economically depressed rural Appalachia. Pharmacist-delivered tobacco cessation support that incorporates medication therapy management (such as the QuitAid intervention) is a promising approach to address this need.

METHODS

Twenty-four adult smokers recruited between September and November 2021 through an independent pharmacy in rural Appalachia were randomized in a non-blinded 2 × 2 × 2 factorial design to (1) pharmacist delivered QuitAid intervention (yes vs. no); (2) combination nicotine replacement therapy (NRT) gum + NRT patch (vs. NRT patch); and/or (3) 8 weeks of NRT (vs. standard 4 weeks). Participants received 4 weeks of NRT patch in addition to the components to which they were assigned. Participants completed baseline and 3-month follow-up assessments. Primary outcomes were feasibility of recruitment and randomization, retention, treatment adherence, and fidelity.

RESULTS

Participants were recruited in 7 weeks primarily through a referral process, commonly referred to as ask-advise-connect (61%). Participants were on average 52.4 years old, 29.2% were male and the majority were white (91.6%) and Non-Hispanic (91.7%). There was a high level of adherence to the interventions, with 85% of QuitAid sessions completed, 83.3% of the patch used, and 54.5% of gum used. Participants reported a high level of satisfaction with the program, and there was a high level of retention (92%).

CONCLUSIONS

This demonstration pilot randomized controlled study indicates that an ask-advise-connect model for connecting rural smokers to smoking cessation support and providing QuitAid for smoking cessation is feasible and acceptable among rural Appalachian smokers and independent pharmacists. Further investigation into the efficacy of a pharmacist-delivered approach for smoking cessation is needed.

TRIAL REGISTRATION

The trial was retrospectively registered at ClinicalTrials.gov. Trial #: NCT05649241.

AI Conversational Agent to Improve Varenicline Adherence: Protocol for a Mixed Methods Feasibility Study

BACKGROUND

Varenicline is a pharmacological intervention for tobacco dependence that is safe and effective in facilitating smoking cessation. Enhanced adherence to varenicline augments the probability of prolonged smoking abstinence. However, research has shown that one-third of people who use varenicline are nonadherent by the second week. There is evidence showing that behavioral support helps with medication adherence. We have designed an artificial intelligence (AI) conversational agent or health bot, called "ChatV," based on evidence of what works as well as what varenicline is, that can provide these supports. ChatV is an evidence-based, patient- and health care provider-informed health bot to improve adherence to varenicline. ChatV has been programmed to provide medication reminders, answer questions about varenicline and smoking cessation, and track medication intake and the number of cigarettes.

OBJECTIVE

This study aims to explore the feasibility of the ChatV health bot, to examine if it is used as intended, and to determine the appropriateness of proceeding with a randomized controlled trial.

METHODS

We will conduct a mixed methods feasibility study where we will pilot-test ChatV with 40 participants. Participants will be provided with a standard 12-week varenicline regimen and access to ChatV. Passive data collection will include adoption measures (how often participants use the chatbot, what features they used, when did they use it, etc). In addition, participants will complete questionnaires (at 1, 4, 8, and 12 weeks) assessing self-reported smoking status and varenicline adherence, as well as questions regarding the acceptability, appropriateness, and usability of the chatbot, and participate in an interview assessing acceptability, appropriateness, fidelity, and adoption. We will use "stop, amend, and go" progression criteria for pilot studies to decide if a randomized controlled trial is a reasonable next step and what modifications are required. A health equity lens will be adopted during participant recruitment and data analysis to understand and address the differences in uptake and use of this digital health solution among diverse sociodemographic groups. The taxonomy of implementation outcomes will be used to assess feasibility, that is, acceptability, appropriateness, fidelity, adoption, and usability. In addition, medication adherence and smoking cessation will be measured to assess the preliminary treatment effect. Interview data will be analyzed using the framework analysis method.

RESULTS

Participant enrollment for the study will begin in January 2024.

CONCLUSIONS

By using predetermined progression criteria, the results of this preliminary study will inform the determination of whether to advance toward a larger randomized controlled trial to test the effectiveness of the health bot. Additionally, this study will explore the acceptability, appropriateness, fidelity, adoption, and usability of the health bot. These insights will be instrumental in refining the intervention and the health bot.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05997901; https://classic.clinicaltrials.gov/ct2/show/NCT05997901.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/53556.

Attitudes and practices of health care providers towards improving adherence to smoking cessation medications in Australia: A descriptive study

ISSUE ADDRESSED

Adherence to smoking cessation medications is low and predicts the success of quit attempts. Health care providers (HCPs) role in delivering smoking cessation support is crucial. HCPs support to improve adherence to smoking cessation medication has not been evaluated in Australia. This study describes the attitudes and practices of HCPs in Australia towards adherence to smoking cessation medications (nicotine replacement therapies, varenicline and bupropion) and intervention options.

METHODS

A descriptive cross-sectional study was conducted using a convenience sample of 70 HCPs in Australia. Participants were recruited through the social media platforms of professional societies in Australia. Data was collected in the periods between November 2020 and September 2021. Descriptive statistics were performed using SPSS statistical software version 27.0 and data was presented using proportions and percentages.

RESULTS

The majority of participants were doctors, nurses and midwives (82.8%). Almost two-thirds of the participants (68.6%) self-reported that they provided adequate adherence support to individuals taking smoking cessation medications. The majority of participants (87.1%) identified adherence support service as part of their professional role. Only 11.1% of the participants who did not believe supporting medication adherence to be their role reported providing adherence support. The main perceived barriers to adherence support are lack of skill, knowledge, time and resources. HCPs believed that providing additional counselling and monitoring of adherence can improve adherence rates.

CONCLUSIONS

In an online survey conducted in Australia, HCPs indicated multiple barriers to providing adherence support and intervention strategies that should be considered for smoking cessation programs. A higher proportion of participants who perceived adherence support as their professional role reported supporting adherence to smoking cessation medications. SO WHAT?: Considerations should be given to improve HCPs attitudes and practices towards smoking cessation medications adherence support. Smoking cessation programs should consider the issue of adherence support. Further studies with a larger sample size across a broader range of HCPs are needed to extensively understand adherence service provision among HCPs in Australia.

Using the Behaviour Change Wheel and modified Delphi method to identify behavioural change techniques for improving adherence to smoking cessation medications

BACKGROUND

Medication adherence is a crucial component of the pharmacological treatment of smoking. Previous interventions targeted to improve adherence to smoking cessation medications (SCMs) were designed using pragmatic approaches. This study aims to develop a comprehensive intervention strategy to improve adherence to SCMs using the Behaviour Change Wheel (BCW) and a modified Delphi method.

METHODS

Recommendations for the design of intervention strategies were based on the BCW guide and six studies conducted by the research team. Factors related to healthcare providers and consumers (person making a quit attempt) that showed associations with adherence were mapped into the Capability, Opportunity, Motivation, Behaviour (COM-B) model, and corresponding intervention functions and policy categories. Interventions were then represented using the Behaviour Change Technique Taxonomy. Finally, a modified Delphi study using 17 experts was conducted to evaluate the nominated strategies using the Acceptability, Practicability, Effectiveness, Affordability, Side-effects, and Equity (APEASE) criteria.

RESULTS

Following a stepped approach, an adherence support wheel was designed to guide implementation strategies and programmes. Thirteen intervention strategies were selected. The selected interventions include providing detailed instructions on how to use SCMs; establishing realistic expectations from SCMs; and providing training for healthcare providers regarding comprehensive smoking cessation care with specifics on the provision of adherence support.

CONCLUSION

The BCW guide and a modified Delphi were applied successfully to design interventions tailored to improve adherence to SCMs. Improving adherence to SCMs requires a comprehensive intervention approach involving various stakeholders. Future research is needed to assess the effectiveness of the nominated intervention strategies.

Factors associated with quitting among smoking cessation medication-assisted smokers and ex-smokers: A cross-sectional study in Australia

Effective smoking cessation medications (SCM) are available and are recommended for the treatment of tobacco smoking. In this study, we evaluated rate and factors associated with successful quitting among individuals who supported their quit attempt using SCMs in Australia. An observational online cross-sectional survey was conducted using a convenience sample of smokers and ex-smokers in Australia. A self-administered questionnaire was used to evaluate socio-demographic, psychological, smoking, and medication use characteristics. The Fagerstrom Test for Nicotine Dependence scale was used to assess the level of nicotine addiction. Logistic regression used to identify factors associated with smoking cessation. Of the 201 respondents, 33.3% had successfully quit smoking. Nicotine replacement therapy (NRT), varenicline, and bupropion were used by 71.6%, 19.9%, and 8.5% respectively. The rate of quitting was 30.6%, 47.5%, and 23.5% for participants who used NRT, varenicline, and bupropion, respectively. Six in ten (59.6%) of the participants who were adherent to SCMs reported continuous abstinence. Whereas 22.9% reported quitting among participants who were nonadherent to SCMs. Adherence to SCMs was significantly associated with increased rate of quitting (AOR = 2.67, 95% CI of 1.17-6.10). Additionally, having smoke-free home was associated with successful smoking cessation (AOR = 2.34, 95% CI of 1.13-4.90). In conclusion, one in three participants self-reported that they successfully quit smoking. Adherence to SCMs and smoke-free home were strongly associated with quitting. Smoking cessation programs and future studies are recommended to incorporate medication adherence as a core component. Home-targeted and family-inclusive interventions are recommended to manage smoke-free homes and enhance success of quitting attempts.

Psychological interventions for improving adherence to inhaled therapies in people with cystic fibrosis

BACKGROUND

Adherence to treatment, including inhaled therapies, is low in people with cystic fibrosis (CF). Although psychological interventions for improving adherence to inhaled therapies in people with CF have been developed, no previous published systematic review has evaluated the evidence for efficacy of these interventions.

OBJECTIVES

The primary objective of the review was to assess the efficacy of psychological interventions for improving adherence to inhaled therapies in people with cystic fibrosis (CF). The secondary objective was to establish the most effective components, or behaviour change techniques (BCTs), used in these interventions.

SEARCH METHODS

We searched the Cochrane Cystic Fibrosis Trials Register, which is compiled from electronic database searches and handsearching of journals and conference abstract books. We also searched databases (PubMed; PsycINFO; EBSCO; Scopus; OpenGrey), trials registries (World Health Organization International Clinical Trials Registry Platform; US National Institutes of Health Ongoing Trials Register ClinicalTrials.gov), and the reference lists of relevant articles and reviews, with no restrictions on language, year or publication status. Date of search: 7 August 2022.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) comparing different types of psychological interventions for improving adherence to inhaled therapies in people with CF of any age, or comparing psychological interventions with usual care. We included quasi-RCTs if we could reasonably assume that the baseline characteristics were similar in both groups.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed trial eligibility and completed data extraction, risk of bias assessments, and BCT coding (using the BCT Taxonomy v1) for all included trials. We resolved any discrepancies by discussion, or by consultation with a third review author as necessary. We assessed the certainty of the evidence using GRADE.

MAIN RESULTS

We included 10 trials (1642 participants) in the review (children and adolescents in four trials; adults in five trials; and children and adults in one trial). Nine trials compared a psychological intervention with usual care; we could combine data from some of these in a number of quantitative analyses. One trial compared a psychological intervention with an active comparator (education plus problem-solving (EPS)). We identified five ongoing trials. Psychological interventions were generally multi-component and complex, containing an average of 9.6 BCTs (range 1 to 28). The two most commonly used BCTs included 'problem-solving' and 'instruction on how to perform the behaviour'. Interventions varied in their type, content and mode of delivery. They included a problem-solving intervention; a paper-based self-management workbook; a telehealth intervention; a group training programme; a digital intervention comprising medication reminders and lung function self-monitoring; a life-coaching intervention; a motivational interviewing (MI) intervention; a brief MI intervention (behaviour change counselling); and a digital intervention combined with behaviour change sessions. Intervention duration ranged from 10 weeks to 12 months. Assessment time points ranged from six to eight weeks up to 23 months. Psychological interventions compared with usual care We report data here for the 'over six months and up to 12 months' time point. We found that psychological interventions probably improve adherence to inhaled therapies (primary outcome) in people with CF compared with usual care (mean difference (MD) 9.5, 95% confidence interval (CI) 8.60 to 10.40; 1 study, 588 participants; moderate-certainty evidence). There was no evidence of a difference between groups in our second primary outcome, treatment-related adverse events: anxiety (MD 0.30, 95% CI -0.40 to 1.00; 1 study, 535 participants), or depression (MD -0.10, 95% CI -0.80 to 0.60; 1 study, 534 participants), although this was low-certainty evidence. For our secondary outcomes, there was no evidence of a difference between groups in terms of lung function (forced expiratory volume in one second (FEV1) % predicted MD 1.40, 95% CI -0.20 to 3.00; 1 study, 556 participants; moderate-certainty evidence); number of pulmonary exacerbations (adjusted rate ratio 0.96, 95% CI 0.83 to 1.11; 1 study, 607 participants; moderate-certainty evidence); or respiratory symptoms (MD 0.70, 95% CI -2.40 to 3.80; 1 study, 534 participants; low-certainty evidence). However, psychological interventions may improve treatment burden (MD 3.90, 95% CI 1.20 to 6.60; 1 study, 539 participants; low-certainty evidence). The overall certainty of the evidence ranged from low to moderate across these outcomes. Reasons for downgrading included indirectness (current evidence included adults only whereas our review question was broader and focused on people of any age) and lack of blinding of outcome assessors. Psychological interventions compared with an active comparator For this comparison the overall certainty of evidence was very low, based on one trial (n = 128) comparing an MI intervention to EPS for 12 months. We are uncertain whether an MI intervention, compared with EPS, improves adherence to inhaled therapies, lung function, or quality of life in people with CF, or whether there is an effect on pulmonary exacerbations. The included trial for this comparison did not report on treatment-related adverse events (anxiety and depression). We downgraded all reported outcomes due to small participant numbers, indirectness (trials included only adults), and unclear risk of bias (e.g. selection and attrition bias).

AUTHORS' CONCLUSIONS

Due to the limited quantity of trials included in this review, as well as the clinical and methodological heterogeneity, it was not possible to identify an overall intervention effect using meta-analysis. Some moderate-certainty evidence suggests that psychological interventions (compared with usual care) probably improve adherence to inhaled therapies in people with CF, without increasing treatment-related adverse events, anxiety and depression (low-certainty evidence). In future review updates (with ongoing trial results included), we hope to be able to establish the most effective BCTs (or 'active ingredients') of interventions for improving adherence to inhaled therapies in people with CF. Wherever possible, investigators should make use of the most objective measures of adherence available (e.g. data-logging nebulisers) to accurately determine intervention effects. Outcome reporting needs to be improved to enable combining or separation of measures as appropriate. Likewise, trial reporting needs to include details of intervention content (e.g. BCTs used); duration; intensity; and fidelity. Large trials with a longer follow-up period (e.g. 12 months) are needed in children with CF. Additionally, more research is needed to determine how to support adherence in 'under-served' CF populations.

Design and Preclinical Evaluation of Nicotine-Stearic Acid Conjugate-Loaded Solid Lipid Nanoparticles for Transdermal Delivery: A Technical Note

This study aimed to develop and evaluate nicotine--stearic acid conjugate-loaded solid lipid nanoparticles (NSA-SLNs) for transdermal delivery in nicotine replacement therapy (NRT). Nicotine conjugation to stearic acid prior to SLN formulation greatly increased drug loading. SLNs loaded with a nicotine-stearic acid conjugate were characterized for size, polydispersity index (PDI), zeta potential (ZP), entrapment efficiency, and morphology. Pilot in vivo testing was carried out in New Zealand Albino rabbits. The size, PDI, and ZP of nicotine-stearic acid conjugate-loaded SLNs were 113.5 ± 0.91 nm, 0.211 ± 0.01, and -48.1 ± 5.75 mV, respectively. The entrapment efficiency of nicotine-stearic acid conjugate in SLNs was 46.45 ± 1.53%. TEM images revealed that optimized nicotine-stearic acid conjugate-loaded SLNs were uniform and roughly spherical in shape. Nicotine-stearic acid conjugate-loaded SLNs showed enhanced and sustained drug levels for up to 96 h in rabbits when compared with the control nicotine formulation in 2% HPMC gel. To conclude, the reported NSA-SLNs could be further explored as an alternative for treating smoking cessation.

Comparison of a Daily Smartphone App and Retrospective Questionnaire Measures of Adherence to Nicotine Replacement Therapy Among Pregnant Women: Observational Study

BACKGROUND

Few studies have investigated how to best measure adherence to smoking cessation medications, but continuous usage measures are recommended.

OBJECTIVE

In this first study of its kind, we compared methods for measuring adherence to nicotine replacement therapy (NRT) among pregnant women, investigating the completeness and validity of data collected from daily assessments using a smartphone app versus data collected from retrospective questionnaires.

METHODS

Women aged ≥16 years who were daily smokers and <25 weeks pregnant were offered smoking-cessation counseling and encouraged to use NRT. For 28 days after setting a quit date (QD), women were asked to report NRT use daily to a smartphone app and to questionnaires administered in person or remotely at 7 and 28 days. For both data collection methods, we provided up to £25 (~US $30) as compensation for the time taken providing research data. Data completeness and NRT use reported to the app and in questionnaires were compared. For each method, we also correlated mean daily nicotine doses reported within 7 days of the QD with Day 7 saliva cotinine concentrations.

RESULTS

Of the 438 women assessed for eligibility, 40 participated and 35 accepted NRT. More participants (31/35) submitted NRT usage data to the app by Day 28 (median 25, IQR 11 days) than completed the Day 28 questionnaire (24/35) or either of the two questionnaires (27/35). Data submitted to the app showed a lower reported duration of NRT use compared to that indicated in the questionnaire (median for app 24 days, IQR 10.25; median for questionnaire 28 days, IQR 4.75; P=.007), and there appeared to be specific cases of overreporting to the questionnaire. Mean daily nicotine doses between the QD and Day 7 were lower when calculated using app data (median for app 40 mg, IQR 52.1; median for questionnaire 40 mg, IQR 63.1; P=.001), and some large outliers were evident for the questionnaire. Mean daily nicotine doses, adjusted for cigarettes smoked, were not associated with cotinine concentrations for either method (app r_s=0.184, P=.55; questionnaire r_s=0.031, P=.92), but the small sample size meant that the analysis was likely underpowered.

CONCLUSIONS

Daily assessment of NRT use via a smartphone app facilitated more complete data (a higher response rate) than questionnaires, and reporting rates over 28 days were encouraging among pregnant women. App data had better face validity; retrospective questionnaires appeared to overestimate NRT use for some participants.

Smoking reduction among homeless smokers in a randomized controlled trial targeting cessation

INTRODUCTION

Homeless populations have high rates of smoking and unique barriers to quitting. General cessation strategies have been unsuccessful in this population. Smoking reduction may be a good intermediate goal. We conducted a secondary analysis to identify predictors of smoking reduction in a cohort of homeless smokers enrolled in a 26-week randomized clinical trial (RCT) targeting smoking cessation.

METHODS

Data are from an RCT comparing motivational interviewing counseling plus nicotine replacement therapy (NRT) to brief advice to quit (standard care) plus NRT among homeless smokers. Using bivariate analyses and multinomial logistic regression, we compared demographics, health and psychosocial variables, tobacco use, substance use, and NRT adherence among those who reported: quitting; reducing smoking by 50-99%; and not reducing smoking by 50%.

RESULTS

Of 324 participants who completed 26-week follow-up, 18.8% and 63.9% self-reported quitting and reducing, respectively. Compared to those who did not reduce smoking, participants reporting reducing indicated higher baseline cigarette use (OR=1.08; CI:1.04-1.12) and menthol use (OR=2.24; CI:1.05-4.77). Compared to participants who reduced, participants reporting quitting were more likely to be male (OR=1.998; CI:1.00-3.98), experience more housing instability (OR=1.97; CI:1.08-3.59), indicate higher importance of quitting (OR=1.27; CI:1.041.55), have higher NRT adherence (OR=1.75; CI:1.00-3.06), and lower odds of reported illicit drug use (OR=0.48; CI:0.24-0.95).

CONCLUSIONS

Over half of participants reduced smoking by at least 50%, indicating reduction is feasible among homeless smokers. Further research is required to understand the impact of reduction on future cessation attempts in homeless smokers. This study shows that reduction is achievable and may be a valid intermediate goal.

The development and acceptability testing of an app-based smart survey system to record smoking behaviour, use of nicotine replacement therapy (NRT) and e-cigarettes

Objective

Nicotine replacement therapy (NRT) helps people stop smoking. Monitoring treatment adherence is important as poor adherence to NRT limits its effectiveness. As e-cigarettes contain nicotine, their use (‘vaping’) is likely to affect both NRT use and smoking. We wished to measure adherence to NRT, and to investigate relationships between NRT, vaping and smoking so we developed ‘NicUse’, a smartphone App linked to a cloud database for collecting data relevant to NRT adherence. We report user-acceptability and investigate data validity among pregnant people by comparing heaviness of smoking reported to NicUse surveys with contemporaneous exhaled carbon monoxide readings.

Results

Thirty five pregnant women participating in a pilot study were asked to install and use NicUse on their smartphones. 32/35 (91%) logged into NicUse, 31 (89%) completed one or more surveys, and 22 (63%) completed these on ≥ 20 of 28 study days. Twenty-four gave end-of-study user acceptability ratings; 23 (96%) agreed or strongly agreed NicUse was ‘Easy to use’ and ‘Instructions were clear’. There was a strong correlation between the number of daily cigarettes reported on NicUse and exhaled CO readings taken on study Day 7 (Pearson’s r = 0.95, p < 0.001). NicUse appears highly acceptable, and smoking data reported to it shows validity.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13104-022-05983-8.

Evaluating level of adherence to nicotine replacement therapy and its impact on smoking cessation: a systematic review and meta-analysis

Background

Nicotine replacement therapy (NRT) has proven effect in assisting smoking cessation. However, its effectiveness varies across studies and population groups. This may be due to differences in the rate of adherence. Hence, this review aims to examine the level of adherence to NRT and to assess if the level of adherence to NRT affects success of smoking cessation.

Methods

A systematic review and meta-analysis was conducted using studies retrieved from five electronic databases (MEDLINE, Scopus, EMBASE, Web of science, and PsycINFO) and grey literature. Pooled analysis was conducted using Stata version 16 software. Methodological quality and risk of bias were assessed using the NIH Quality Assessment Tool. Analyses were done among those studies that used similar measurements to assess level of adherence and successful smoking cessation. Heterogeneity of studies was assessed using the Higgins’ I² statistical test. Funnel plots and Egger’s regression asymmetry test were used to affirm presence of significant publication bias.

Results

A total of 7521 adult participants of 18 years old and above from 16 studies were included in the analysis. Level of adherence to NRT among participants of randomised controlled trials were found to be 61% (95% CI, 54–68%), p-value of < 0.001 and I² = 85.5%. Whereas 26% of participants were adherent among participants of population-based studies with 95% CI, 20–32%, p-value of < 0.001 and I² = 94.5%. Level of adherence was the lowest among pregnant women (22%) with 95% CI, 18–25%, p-value of 0.31 and I² = 15.8%. Being adherent to NRT doubles the rate of successful quitting (OR = 2.17, 95% CI, 1.34–3.51), p-value of < 0.001 and I² = 77.6%.

Conclusions

This review highlights a low level of adherence to NRT among participants of population-based studies and pregnant women as compared to clinical trials. Moreover, the review illustrated a strong association between adherence and successful smoking cessation. Hence, it is recommended to implement and assess large scale interventions to improve adherence. Health programs and policies are recommended to integrate the issue of adherence to NRT as a core component of smoking cessation interventions.

Trial registration

PROSPERO registration number: CRD42020176749. Registered on 28 April 2020.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13690-021-00550-2.

Behavioural interventions for smoking cessation: an overview and network meta-analysis

BACKGROUND

Smoking is a leading cause of disease and death worldwide. In people who smoke, quitting smoking can reverse much of the damage. Many people use behavioural interventions to help them quit smoking; these interventions can vary substantially in their content and effectiveness.

OBJECTIVES

To summarise the evidence from Cochrane Reviews that assessed the effect of behavioural interventions designed to support smoking cessation attempts and to conduct a network meta-analysis to determine how modes of delivery; person delivering the intervention; and the nature, focus, and intensity of behavioural interventions for smoking cessation influence the likelihood of achieving abstinence six months after attempting to stop smoking; and whether the effects of behavioural interventions depend upon other characteristics, including population, setting, and the provision of pharmacotherapy. To summarise the availability and principal findings of economic evaluations of behavioural interventions for smoking cessation, in terms of comparative costs and cost-effectiveness, in the form of a brief economic commentary.

METHODS

This work comprises two main elements. 1. We conducted a Cochrane Overview of reviews following standard Cochrane methods. We identified Cochrane Reviews of behavioural interventions (including all non-pharmacological interventions, e.g. counselling, exercise, hypnotherapy, self-help materials) for smoking cessation by searching the Cochrane Library in July 2020. We evaluated the methodological quality of reviews using AMSTAR 2 and synthesised data from the reviews narratively. 2. We used the included reviews to identify randomised controlled trials of behavioural interventions for smoking cessation compared with other behavioural interventions or no intervention for smoking cessation. To be included, studies had to include adult smokers and measure smoking abstinence at six months or longer. Screening, data extraction, and risk of bias assessment followed standard Cochrane methods. We synthesised data using Bayesian component network meta-analysis (CNMA), examining the effects of 38 different components compared to minimal intervention. Components included behavioural and motivational elements, intervention providers, delivery modes, nature, focus, and intensity of the behavioural intervention. We used component network meta-regression (CNMR) to evaluate the influence of population characteristics, provision of pharmacotherapy, and intervention intensity on the component effects. We evaluated certainty of the evidence using GRADE domains. We assumed an additive effect for individual components.

MAIN RESULTS

We included 33 Cochrane Reviews, from which 312 randomised controlled trials, representing 250,563 participants and 845 distinct study arms, met the criteria for inclusion in our component network meta-analysis. This represented 437 different combinations of components. Of the 33 reviews, confidence in review findings was high in four reviews and moderate in nine reviews, as measured by the AMSTAR 2 critical appraisal tool. The remaining 20 reviews were low or critically low due to one or more critical weaknesses, most commonly inadequate investigation or discussion (or both) of the impact of publication bias. Of note, the critical weaknesses identified did not affect the searching, screening, or data extraction elements of the review process, which have direct bearing on our CNMA. Of the included studies, 125/312 were at low risk of bias overall, 50 were at high risk of bias, and the remainder were at unclear risk. Analyses from the contributing reviews and from our CNMA showed behavioural interventions for smoking cessation can increase quit rates, but effectiveness varies on characteristics of the support provided. There was high-certainty evidence of benefit for the provision of counselling (odds ratio (OR) 1.44, 95% credibility interval (CrI) 1.22 to 1.70, 194 studies, n = 72,273) and guaranteed financial incentives (OR 1.46, 95% CrI 1.15 to 1.85, 19 studies, n = 8877). Evidence of benefit remained when removing studies at high risk of bias. These findings were consistent with pair-wise meta-analyses from contributing reviews. There was moderate-certainty evidence of benefit for interventions delivered via text message (downgraded due to unexplained statistical heterogeneity in pair-wise comparison), and for the following components where point estimates suggested benefit but CrIs incorporated no clinically significant difference: individual tailoring; intervention content including motivational components; intervention content focused on how to quit. The remaining intervention components had low-to very low-certainty evidence, with the main issues being imprecision and risk of bias. There was no evidence to suggest an increase in harms in groups receiving behavioural support for smoking cessation. Intervention effects were not changed by adjusting for population characteristics, but data were limited. Increasing intensity of behavioural support, as measured through the number of contacts, duration of each contact, and programme length, had point estimates associated with modestly increased chances of quitting, but CrIs included no difference. The effect of behavioural support for smoking cessation appeared slightly less pronounced when people were already receiving smoking cessation pharmacotherapies.

AUTHORS' CONCLUSIONS

Behavioural support for smoking cessation can increase quit rates at six months or longer, with no evidence that support increases harms. This is the case whether or not smoking cessation pharmacotherapy is also provided, but the effect is slightly more pronounced in the absence of pharmacotherapy. Evidence of benefit is strongest for the provision of any form of counselling, and guaranteed financial incentives. Evidence suggested possible benefit but the need of further studies to evaluate: individual tailoring; delivery via text message, email, and audio recording; delivery by lay health advisor; and intervention content with motivational components and a focus on how to quit. We identified 23 economic evaluations; evidence did not consistently suggest one type of behavioural intervention for smoking cessation was more cost-effective than another. Future reviews should fully consider publication bias. Tools to investigate publication bias and to evaluate certainty in CNMA are needed.

Reasons for and Scenarios Associated with Failure to Cease Smoking: Results from a Qualitative Study Among Polish Smokers Who Had Unsuccessfully Attempted to Quit

PURPOSE

Most smokers attempt to quit smoking, but few are successful. Data regarding the reasons for this relapse and the course of the relapse process may be helpful for determining efficient methods of smoking cessation. This study aimed to identify the causes of and scenarios associated with smoking relapse after effective smoking cessation.

PATIENTS AND METHODS

We conducted 20 semi-structured interviews with smokers who had previously unsuccessfully attempted to quit. The data underwent qualitative content analysis.

RESULTS

Three major themes were identified: reasons for smoking relapse; smoking relapse scenarios; and perception of the influence of personal environments, including family and physicians, on refraining from smoking after cessation. The first theme comprised the following subthemes: insufficient willpower and self-discipline, contact with smokers, exposure to stressful situations, lack of family support, weight gain, and insufficient improvement in one's mental and physical well-being. The second theme contained enjoyable social events, professional life, critical events, and encouragement to smoke from family members. The respondents frequently emphasized the large role of interaction with other smokers.

CONCLUSION

The predominant factors underlying smoking relapse include insufficient willpower and self-discipline and exposure to stress. The most frequent relapse scenario concerned experiencing negative or positive emotions when interacting with other smokers.

Quality of smoking cessation advice in guidelines of tobacco-related diseases: An updated systematic review

Tobacco smoking is a major risk factor for a wide range of diseases, and smoking cessation significantly reduces these risks. Clinical guidelines for diseases associated with smoking should therefore include guidance on smoking cessation. This review updated evidence on the proportion of clinical guidelines that do so. We conducted a systematic review investigating clinical guidelines and recommendations developed by UK national or European transnational medical specialty associations and societies between January 2014 and October 2019 on 16 diseases to be at least twice as common among smokers than non-smokers. Outcomes of interest were the reporting of smoking as a risk factor, and the inclusion either of smoking cessation advice or referral to other cessation guidance. We compared our findings with an earlier review of guidelines published between 2000 and 2013. We identified 159 clinical guidelines/recommendations. Over half (51%) made no mention of smoking, while 43% reported smoking as a risk factor for the development of the disease, 31% recommended smoking cessation and 19% provided detailed information on how to deliver smoking cessation support. These proportions were similar to those in our earlier review. Smoking cessation continues to be neglected in clinical management guidance for diseases caused by smoking.

Electronically Monitored Nicotine Gum Use Before and After Smoking Lapses: Relationship With Lapse and Relapse

INTRODUCTION

Greater use of nicotine replacement therapy (NRT) is related to smoking cessation success, but the causal direction is unclear. This study characterized the relationship between NRT use and smoking lapse and relapse.

METHODS

Participants (N = 416 smokers; 57% female, 85% White) were recruited from primary care for a smoking cessation factorial experiment and analyzed if abstaining ≥1 day in the first 2 weeks post-target quit day (TQD). Participants were randomized to counseling and 8 versus 26 weeks of nicotine patch plus nicotine gum post-TQD. Participants carried electronic dispensers that timestamped each gum use. Participants who lapsed (smoked after abstaining) within 6 weeks post-TQD were matched with nonlapsers (n = 146 pairs) on multiple variables. We compared lapsers' versus matched nonlapsers' gum use in the 5 days before and after the lapsers' first lapse.

RESULTS

By week 6 post-TQD, 63% of participants lapsed. Compared with nonlapsers, lapsers used less gum 1 and 2 days pre-"lapse" and on the 5 days post-lapse. Lapsers used less gum during the 5 days post-lapse than the 5 days pre-lapse. Univariate survival analyses with lapsers showed greater gum use during both pre- and post-lapse periods predicted longer latency to relapse in the first 6 weeks.

CONCLUSIONS

In a smoking cessation attempt using nicotine patch plus gum, lapsers versus matched nonlapsers used less gum immediately preceding and following their first lapse. Lower mean gum use before and after lapses predicted a more rapid escalation to relapse. Decreased nicotine gum use both precedes and follows returns to smoking during cessation attempts.

IMPLICATIONS

This research examined electronically monitored nicotine gum use collected in real time and found that among smokers engaged in a quit attempt, lapsers (vs. matched nonlapsers) tended to decrease their gum use 1-2 days prior to lapsing and to further decrease their gum use from pre- to post-lapse. Decreased gum use pre-lapse may signal heightened lapse risk in 1-2 days, with lower level of gum use predicting a more precipitous course of relapse. These results encourage further exploration of objective measures of smoking medication use patterns to examine their signaling properties and to inform understanding of cessation failure.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov NCT01120704.

Effects of active referral combined with a small financial incentive on smoking cessation: study protocol for a cluster randomised controlled trial

INTRODUCTION

Evidence-based smoking cessation treatments are effective but underutilised, accentuating the need for novel approaches to increase use. This trial investigates the effects of active referral combined with a financial incentive to use smoking cessation services on smoking abstinence among community smokers.

METHODS AND ANALYSIS

This ongoing study is a two-arm, assessor-blinded, pragmatic, cluster randomised controlled trial with follow-ups at 1, 2, 3 and 6 months after randomisation. We aim to enrol 1134 daily smokers from 70 community sites (clusters) in Hong Kong. All participants receive Ask, Warn, Advise, Refer, Do-it-again (AWARD) guided advice and a self-help booklet at baseline. Additionally, participants in the intervention group receive an offer of referral to smoking cessation services at baseline and a small financial incentive (HK$300≈US$38) contingent on using any of such services within 3 months. The primary outcomes are bioverified abstinence (exhaled carbon monoxide <4 ppm and salivary cotinine <10 ng/mL) at 3 and 6 months. Secondary outcomes include self-reported 7-day point prevalence of abstinence, smoking reduction rate, quit attempts and the use of smoking cessation services at 3 and 6 months. Intention-to-treat approach and regression models will be used in primary analyses.

ETHICS AND DISSEMINATION

This protocol has been approved by the Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West Cluster (IRB reference number: UW 18-318). The results of this trial will be submitted for publication in peer-reviewed journals, and the key findings will be presented at national and international conferences.

TRIAL REGISTRATION NUMBER

ClinicalTrials.gov Registry NCT03565796.

Evaluating level of adherence to nicotine replacement therapy and its impact on smoking cessation: a protocol for systematic review and meta-analysis

INTRODUCTION

Nicotine replacement therapy (NRT) has proven effective for smoking cessation in clinical trials, however it was found less effective in population-based studies, potentially due to inconsistent or incorrect use of NRT. The aim of this paper is to describe a systematic review protocol to evaluate level of adherence to NRT; the discrepancy of adherence to NRT in clinical and population-based studies and degree of association between level of adherence and success of smoking cessation.

METHODS AND ANALYSIS

Literature search will use five databases (Medline, Scopus, Embase, CINAHL and PsycINFO). Studies will be appraised for methodological quality using National Institutes of Health Quality Assessment Tool. To reduce heterogeneity, we will analyse clinical trials and population-based studies separately; pooled analyses will be done among studies that used similar measurements. Heterogeneity of studies will be assessed by Higgins' I² statistical test. When studies are adequately homogeneous, results will be pooled using random-effects model with proportion and ORs with 95% CIs and p values for each outcome. We will explain sources of heterogeneity by subgroup analysis or sensitivity analysis. Funnel plots and Egger's regression asymmetry test with p<0.05 will be used as a cut-off point to affirm presence of statistically significant publication bias. Statistical analyses will be carried out using Stata V.16 software. Only studies reporting a valid strategy to control for reverse causality will be included.

DISCUSSION

This review will provide evidence to support the importance of adherence on rate of smoking cessation and level of adherence to NRT. The findings will be used to inform smoking cessation interventions, researchers and policymakers.

ETHICS AND DISSEMINATION

As a systematic literature review, this protocol does not require ethics approval. Research outcomes will be presented at relevant conferences and findings will be published in a relevant peer-reviewed journal.

PROSPERO REGISTRATION NUMBER

CRD42020176749.

Proactively Offered Text Messages and Mailed Nicotine Replacement Therapy for Smokers in Primary Care Practices: A Pilot Randomized Trial

INTRODUCTION

Proactive, population health cessation programs can guide efforts to reach smokers outside of the clinic to encourage quit attempts and treatment use.

AIMS AND METHODS

This study aimed to measure trial feasibility and preliminary effects of a proactive intervention offering text messages (TM) and/or mailed nicotine replacement therapy (NRT) to smokers in primary care clinics. From 2017 to 2019 we performed a pilot randomized trial comparing brief telephone advice (control: BA), TM, 2 weeks of mailed NRT, or both interventions (TM + NRT). Patients were identified using electronic health records and contacted proactively by telephone to assess interest in the study. We compared quit attempts, treatment use, and cessation in the intervention arms with BA.

RESULTS

Of 986 patients contacted, 153 (16%) enrolled (mean age 53 years, 57% female, 76% white, 11% black, 8% Hispanic, 52% insured by Medicaid) and 144 (94%) completed the 12-week assessment. On average, patients in the TM arms received 159 messages (99.4% sent, 0.6% failed), sent 19 messages, and stayed in the program for 61 days. In all groups, a majority of patients reported quit attempts (BA 67% vs. TM 86% [p = .07], NRT 81% [p = .18], TM + NRT 79% [p = .21]) and NRT use (BA 51% vs. NRT 83% [p = .007], TM 65% [p = .25], TM + NRT 76% [p = .03]). Effect estimates for reported 7-day abstinence were BA 10% versus TM 26% (p = .09), NRT 28% (p = .06), and TM + NRT 23% (p = .14).

CONCLUSIONS

Proactively offering TM or mailed nicotine medications was feasible among primary care smokers and a promising approach to promote quit attempts and short-term abstinence.

IMPLICATIONS

Proactive intervention programs to promote quit attempts outside of office visits among smokers enrolled in primary care practices are needed. TM have potential to engage smokers not planning to quit or to support smokers to make a planned quit attempt. This pilot study demonstrates the feasibility of testing a proactive treatment model including TM and/or mailed NRT to promote quit attempts, treatment use, and cessation among nontreatment-seeking smokers in primary care.

CLINICALTRIALS.GOV IDENTIFIER

NCT03174158.

Enhancing nicotine replacement therapy usage and adherence through a mobile intervention: Secondary data analysis of a single-arm feasibility study in Mexico

INSTRODUCTION

Nicotine Replacement Therapy (NRT) is an effective treatment for smoking cessation. However, medication usage and adherence remain a challenge that contributes to low smoking cessation rates. In Mexico, 8 in 10 smokers are interested in quitting. However, only 6% of Mexican smokers use medication for smoking cessation. The objective of this study is to assess the feasibility and acceptability of a mobile health (mHealth) intervention to increase usage and adherence of NRT in Mexico.

METHODS

The study involves a secondary data analysis. Forty smokers were recruited to participate in a single-arm pilot study. Participants received an mHealth intervention that uses tablet-based decision support software to drive a 12-week text messaging smoking cessation program and pharmacotherapy support. The intervention allows two-way interactivity text messaging between participants and a tobacco treatment specialist. NRT was offered to participants in accordance with practice guidelines in Mexico. Outcome measures included utilization of NRT, text messaging interactivity with the program, and biochemically verified abstinence at 12 weeks.

RESULTS

Thirty smokers met the criteria for use of NRT. Average age of participants was 38.1 years (SD=10.7), and they were primarily male (56.7%) with at least an undergraduate degree (60%). All participants requested NRT at baseline, and 60% requested a refill at week 4. During the 12-week intervention period, participants sent 620 messages to the program (mean=20.6, SD=18.34) of which 79 messages (12.7%) were related to NRT. Three themes were identified in the messages related to NRT: enthusiasm, instructions, and side effects. At 12 weeks, 40% of participants reported using NRT <75% of the days. Finally, 30% of participants (9/30) were biochemically verified abstinent using intention-to-treat analysis at 12 weeks.

CONCLUSIONS

An mHealth intervention appears to offer a promising strategy to increase usage and adherence of NRT in Mexico. Additional testing as a formal randomized clinical trial appears warranted.

Evaluation of nicotine patch adherence measurement using self-report and saliva cotinine among abstainers in a smoking cessation trial

BACKGROUND

Adherence to nicotine patches relates to cessation. This is the first study to examine the validity of self-reported nicotine patch adherence relative to saliva cotinine.

METHODS

We used data from 198 clinical trial participants who received 11 weeks of nicotine patches, self-reported patch use, had saliva cotinine 1-week after the start of treatment assessed, and were not smoking when saliva was collected (CO < 6). Self-reported patch adherence was defined as: 3-day (before saliva collection), 7-day (before saliva collection), 3-week use (7 days before, and 14 days after, saliva collection), and 11-week use (7 days before, and 10 weeks after, saliva collection). Analyses, including receiver operating characteristic curves, considered differences in nicotine metabolism. Sensitivity, specificity and positive (PPV) and negative predictive value (NPV) assessed optimal cotinine cut-point for adherence.

RESULTS

Self-reported 7-day (r = 0.13) and 3-week (r = 0.13) patch use marginally correlated with week 1 cotinine (p's = 0.08) but not 3-day or 11-week. Significant area under the curve (AUC) values of 0.67 (95 %CI: 0.55-0.79) and 0.72 (95 %CI: 0.57-0.88) were found using 7-day self-report for the overall sample and for slow metabolizers (p's<0.01), but not for normal metabolizers. Optimal 1-week cotinine cut-points using 7-day self-report were 170 ng/mL (overall) and 184 ng/mL (slow), with sensitivity = 0.56-0.62, specificity = 0.69-0.78, PPV = 0.96-0.97, and NPV = 0.13-0.14.

CONCLUSIONS

Among CO-confirmed abstainers, self-reported patch use and saliva cotinine assessed 1-week into treatment, were modestly correlated and optimal cotinine cut-point differed by rate of nicotine metabolism. Seven-day patch use may be a more valid self-report measure of patch adherence based on cotinine than 3-day, 3-week, or 11-week. Rate of nicotine metabolism may affect this relationship.

Predictors of adherence to nicotine replacement therapy: Machine learning evidence that perceived need predicts medication use

BACKGROUND

Nonadherence to smoking cessation medication is a frequent problem. Identifying pre-quit predictors of nonadherence may help explain nonadherence and suggest tailored interventions to address it.

AIMS

Identify and characterize subgroups of smokers based on adherence to nicotine replacement therapy (NRT).

METHOD

Secondary classification tree analyses of data from a 2-arm randomized controlled trial of Recommended Usual Care (R-UC, n = 315) versus Abstinence-Optimized Treatment (A-OT, n = 308) were conducted. R-UC comprised 8 weeks of nicotine patch plus brief counseling whereas A-OT comprised 3 weeks of pre-quit mini-lozenges, 26 weeks of nicotine patch plus mini-lozenges, 11 counseling contacts, and 7-11 automated reminders to use medication. Analyses identified subgroups of smokers highly adherent to nicotine patch use in both treatment conditions, and identified subgroups of A-OT participants highly adherent to mini-lozenges.

RESULTS

Varied facets of nicotine dependence predicted adherence across treatment conditions 4 weeks post-quit and between 4- and 16-weeks post-quit in A-OT, with greater baseline dependence and greater smoking trigger exposure and reactivity predicting greater medication use. Greater quitting motivation and confidence, and believing that stop smoking medication was safe and easy to use were associated with greater adherence.

CONCLUSION

Adherence was especially high in those who were more dependent and more exposed to smoking triggers. Quitting motivation and confidence predicted greater adherence, while negative beliefs about medication safety and acceptability predicted worse adherence. Results suggest that adherent use of medication may reflect a rational appraisal of the likelihood that one will need medication and will benefit from it.

Community pharmacy personnel interventions for smoking cessation

BACKGROUND

Community pharmacists could provide effective smoking cessation treatment because they offer easy access to members of the community. They are well placed to provide both advice on the correct use of smoking cessation products and behavioural support to aid smoking cessation.

OBJECTIVES

To assess the effectiveness of interventions delivered by community pharmacy personnel to assist people to stop smoking, with or without concurrent use of pharmacotherapy.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register, along with clinicaltrials.gov and the ICTRP, for smoking cessation studies conducted in a community pharmacy setting, using the search terms pharmacist* or pharmacy or pharmacies. Date of the most recent search: January 2019.

SELECTION CRITERIA

Randomised controlled trials of interventions delivered by community pharmacy personnel to promote smoking cessation amongst their clients who were smokers, compared with usual pharmacy support or any less intensive programme. The main outcome measure was smoking cessation rates at six months or more after the start of the intervention.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures expected by Cochrane for study screening, data extraction and management. We conducted a meta-analysis using a Mantel-Haenszel random-effects model to generate risk ratios (RRs) and 95% confidence intervals (CIs).

MAIN RESULTS

We identified seven studies including 1774 participants. We judged three studies to be at high risk of bias and four to be at unclear risk. Each study provided face-to-face behavioural support delivered by pharmacy staff, and required pharmacy personnel training. Typically such programmes comprised support starting before quit day and continuing with weekly appointments for several weeks afterwards. Comparators were either minimal or less intensive behavioural support for smoking cessation, typically comprising a few minutes of one-off advice on how to quit. Participants in both intervention and control arms received equivalent smoking cessation pharmacotherapy in all but one study. All studies took place in high-income countries, and recruited participants visiting pharmacies. We pooled six studies of 1614 participants and detected a benefit of more intensive behavioural smoking cessation interventions delivered by community pharmacy personnel compared with less intensive cessation interventions at longest follow-up (RR 2.30, 95% CI 1.33 to 3.97; I² = 54%; low-certainty evidence).

AUTHORS' CONCLUSIONS

Community pharmacists can provide effective behavioural support to people trying to stop smoking. However, this conclusion is based on low-certainty evidence, limited by risk of bias and imprecision. Further research could change this conclusion.