Background: Poor adherence to nicotine replacement therapy (NRT) is associated with low rates of smoking cessation. Hence, this study aims to identify and map patient-related factors associated with adherence to NRT using the capability, opportunity, motivation, and behaviour (COM-B) model. Methods: A systematic review was conducted by searching five databases (MEDLINE, Scopus, EMBASE, CINAHL, and PsycINFO) and grey literature on 30 August 2020. Data were extracted, thematically analysed, and mapped to the COM-B model. The Joanna Briggs Institute (JBI) critical appraisal tool was utilised to assess the quality of studies. Results: A total of 2929 citations were screened, and 26 articles with a total of 13,429 participants included. Thirty-one factors were identified and mapped to COM-B model: psychological capability (forgetfulness, education), physical capability (level of nicotine dependence, withdrawal symptoms), reflective motivation (perception about NRT and quitting), automatic motivation (alcohol use, stress, depression), physical opportunity (cost), and social opportunity (social support). The most prominent element associated with adherence was reflective motivation followed by physical capability and automatic motivation. Conclusions: Multiple personal, social, and environmental factors affect NRT adherence. Hence, it is recommended to implement a multifaceted behavioural intervention incorporating factors categorised under the COM-B model, which is the hub of the behaviour change wheel (BCW) to improve adherence and quitting.

Background: Smoking cessation in pregnancy has unique challenges. Health providers (HP) may need support to successfully implement smoking cessation care (SCC) for pregnant women (PW). We aimed to synthesize qualitative data about views of HPs and PW on SCC during pregnancy using COM-B (Capability, Opportunity, Motivation, Behaviour) framework. Methods: A systematic search of online databases (MEDLINE, EMBASE, PsycINFO and CINAHL) using PRISMA guidelines. PW’s and HPs’ quotes, as well as the authors’ analysis, were extracted and double-coded (30%) using the COM-B framework. Results: Thirty-two studies included research from 5 continents: 13 on HPs’ perspectives, 15 on PW’s perspectives, four papers included both. HPs’ capability and motivation were affected by role confusion and a lack of training, time, and resources to provide interventions. HPs acknowledged that advice should be delivered while taking women’s psychological state (capability) and stressors into consideration. Pregnant women’s physical capabilities to quit (e.g., increased metabolism of nicotine and dependence) was seldom addressed due to uncertainty about nicotine replacement therapy (NRT) use in pregnancy. Improving women’s motivation to quit depended on explaining the risks of smoking versus the safety of quit methods. Women considered advice from HPs during antenatal visits as effective, if accompanied by resources, peer support, feedback, and encouragement. Conclusions: HPs found it challenging to provide effective SCC due to lack of training, time, and role confusion. The inability to address psychological stress in women and inadequate use of pharmacotherapy were additional barriers. These findings could aid in designing training programs that address HPs’ and PW’s attitudes and supportive campaigns for pregnant smokers.

Bushfires substantially increase the environmental health risks for people living in affected areas, especially the disadvantaged (e.g., those experiencing health inequities due to their socio-economic status, racial/ethnic backgrounds, geographic location and/or sexual orientation) and those with pre-existing health conditions. Pregnant women exposed to bushfire smoke are at a greater risk of adverse pregnancy and foetal outcomes, especially if they smoke tobacco, which may compound the toxic impacts. Bushfires may also exacerbate mental stress, leading to an increase in smoking. There are gaps in the evidence and more research is required on the combined effect of bushfire smoke and tobacco smoke on pregnant populations.

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.

Background: Adherence to smoking cessation medications (SCMs) improve the rate of successful quitting. This study aimed to evaluate the level of adherence to SCMs and associated factors among smokers and ex-smokers in Australia. Method: A cross-sectional study using an online survey was conducted in Australia. Descriptive statistics were used to present the overall characteristics of participants. Cross-tabulation with Pearson’s chi-square test was performed to evaluate the possible associations between factors. To explore barriers and facilitators of adherence to SCMs, logistic regressions were conducted. Results: Among 201 participants, 57 (28.4%) were found to be adherent to SCMs. The odds of being adherent were found to be higher among participants with good social support (AOR = 3.28, 95% CI of 2.30–6.27). Participants who did not experience anxiety symptoms had higher odds of being adherent to SCMs as compared to smokers who had anxiety symptoms (AOR = 4.41, 95% CI of 3.64–14.68). Having previous experience of using SCMs improved adherence four-fold (AOR = 3.87, 95% CI of 1.11–13.44). Level of nicotine dependence showed a direct association with adherence (AOR = 3.53, 95% CI of 1.40–8.95). Not relapsing while on the medications improved adherence (AOR = 2.88, 95% CI of 1.21–6.88). Conclusion: In a study of smokers and ex-smokers in Australia, the self-reported level of adherence to SCMs was found to be low. Adherence was associated with social, psychological, and medication-related factors. Smoking cessation interventions are recommended to include strategies that can address medication adherence.