ABSTRACT
BACKGROUND: Despite significant progress in reducing tobacco use over the past 2 decades, tobacco still kills over 8 million people every year. Digital interventions, such as text messaging, have been found to help people quit smoking. Chatbots, or conversational agents, are new digital tools that mimic instantaneous human conversation and therefore could extend the effectiveness of text messaging. OBJECTIVE: This scoping review aims to assess the extent of research in the chatbot literature for smoking cessation and provide recommendations for future research in this area. METHODS: Relevant studies were identified through searches conducted in Embase, MEDLINE, APA PsycINFO, Google Scholar, and Scopus, as well as additional searches on JMIR, Cochrane Library, Lancet Digital Health, and Digital Medicine. Studies were considered if they were conducted with tobacco smokers, were conducted between 2000 and 2021, were available in English, and included a chatbot intervention. RESULTS: Of 323 studies identified, 10 studies were included in the review (3 framework articles, 1 study protocol, 2 pilot studies, 2 trials, and 2 randomized controlled trials). Most studies noted some benefits related to smoking cessation and participant engagement; however, outcome measures varied considerably. The quality of the studies overall was low, with methodological issues and low follow-up rates. CONCLUSIONS: More research is needed to make a firm conclusion about the efficacy of chatbots for smoking cessation. Researchers need to provide more in-depth descriptions of chatbot functionality, mode of delivery, and theoretical underpinnings. Consistency in language and terminology would also assist in reviews of what approaches work across the field.
Subject(s)
Smoking Cessation , Text Messaging , Communication , Humans , Smokers , Smoking , Smoking Cessation/methodsABSTRACT
OBJECTIVES: The aim of this research was to investigate the possible association between smoking habits and the incidence of adverse effects (AEs) after mRNA COVID-19 vaccine. STUDY DESIGN: A longitudinal observational study was conducted on a sample of Italian healthcare workers. METHODS: Healthcare workers who were administered the mRNA COVID-19 vaccine (either BNT162b2 or mRNA-1273) were evaluated for the occurrence of AEs after three vaccine doses. Multivariate Poisson regression analyses were fitted to predict AE risk according to smoking characteristics - such as number of tobacco cigarettes smoked per day, smoking time, and use of electronic cigarette (e-cig). RESULTS: Of 320 total participants, 72 (22.5%) smoked cigarettes, and 50 (15.6%) used e-cig, 49 of which being dual users. Tobacco smoking significantly increased the risks of muscle and joint pain during the primary COVID-19 vaccination cycle and of chills during the whole vaccination series. The number of cigarettes smoked per day and vaping variously predicted AE onset during the whole cycle, with a tendency to respectively reduce and increase their risks. Duration of smoking did not affect any AE, except for headache after the booster dose. Most results remained significant after Bonferroni adjustment of significance level. CONCLUSION: Our pilot study indicated a possible effect of smoking habits on AE onset. Our research offers evidence that helps understanding possible predictors of the interindividual variability in COVID-19 vaccine response, serving as a reference for further studies on the effect of smoking on vaccine safety and effectiveness.
Subject(s)
COVID-19 , Drug-Related Side Effects and Adverse Reactions , Electronic Nicotine Delivery Systems , Smoking Cessation , Vaccines , Humans , Smoking/epidemiology , COVID-19 Vaccines/adverse effects , Pilot Projects , Smoking Cessation/methods , BNT162 Vaccine , COVID-19/epidemiology , COVID-19/prevention & control , RNA, MessengerABSTRACT
OBJECTIVES: To explore how smokers view common functions and characteristics of smoking cessation apps. DESIGN: Systematic review. SEARCH SOURCES: CINAHL PLUS, MEDLINE, PsycINFO, EMBASE, IEEE Xplore, ACM Digital Library, and Google Scholar. REVIEW METHODS: Seven digital databases were searched separately using relevant search terms. Search results were uploaded to Covidence. Inclusion and exclusion criteria were identified with the expert team in advance. Titles, abstracts, and full texts were screened by two reviewers independently. Any disagreements were discussed in research meetings. Pertinent data were extracted and analysed using qualitative content analysis. Findings were presented in a narrative approach. RESULTS: 28 studies were included in this review. The overarching themes were app functionality and app characteristics. Under app "functionality", six subthemes emerged: 1) education; 2) tracking; 3) social support; 4) compensation; 5) distraction, and 6) reminding. Under "app characteristics", five subthemes emerged: 1) simplification, 2) personalisation, 3) diverse content forms, 4) interactivity, and 5) privacy and security. CONCLUSION: Understanding user needs and expectations is crucial for developing a programme theory for smoking cessation app interventions. Relevant needs identified in this review should be linked to broader theories of smoking cessation and app-based intervention.
Subject(s)
Mobile Applications , Smoking Cessation , Text Messaging , Humans , Smoking Cessation/methods , Smokers , Qualitative ResearchABSTRACT
INTRODUCTION: People with disabilities have a higher prevalence of cigarette smoking than people without disabilities. However, little information exists on smoking cessation interventions tailored to address the unique needs of people with disabilities. This paper describes a systematic review protocol to identify and evaluate tobacco smoking cessation interventions designed to improve outcomes for people with disabilities. METHODS AND ANALYSIS: We will conduct a systematic review of the literature using the procedures outlined by Cochrane. We will search four electronic databases (CINAHL Plus (EBSCO), Embase (Ovid), Medline (Ovid) and PsycINFO (Ovid)) with no date restriction to identify tobacco cessation interventions tailored to meet the needs of people with disabilities. We will extract data and assess risk of bias using the RoB2 and ROBINS-I for included studies using Covidence systematic review software. Quantitative and qualitative syntheses will summarise key study characteristics and outcomes with text, tables and forest plots; a meta-analysis will be conducted, if appropriate. ETHICS AND DISSEMINATION: Ethical approval is not required as there are no primary data associated with the study. Data will be disseminated through a peer-reviewed articles and conference presentations. PROSPERO REGISTRATION NUMBER: CRD42022337434.
Subject(s)
Cigarette Smoking , Smoking Cessation , Text Messaging , Humans , Adult , Smoking Cessation/methods , Behavior Therapy , Software , Review Literature as Topic , Meta-Analysis as TopicABSTRACT
E-cigarette use has been increasing globally over the past decade. Many use e-cigarettes as an alternative or method to quit cigarette smoking, whereas others use these products recreationally. As technology has advanced, many individuals have reported symptoms of dependence on these products and continue to use them beyond achieving abstinence from smoking. Despite individuals reporting interest in quitting, little is known about e-cigarette cessation. This systematic review sought to identify and evaluate all human subjects literature published on the outcome of e-cigarette cessation through September 2021. Of the 79 articles identified, 56 were cross-sectional, 6 were qualitative, 5 were cohort studies, 3 were experimental, 2 were mixed methods, and 7 reported intervention or case studies of e-cigarette cessation. Results showed youth generally had high intent to quit e-cigarettes, whereas results were mixed with adult samples. Youth were motivated to quit e-cigarettes by health concerns, whereas adults were motivated to quit e-cigarettes by cost, lack of satisfaction, and psychologic factors. Adults were more likely to report past e-cigarette quit attempts, most commonly "cold turkey." Few interventions tested strategies for e-cigarette cessation, with a majority targeted for youth. Given the lack of information on e-cigarette cessation, recommendations for future studies are outlined.
Subject(s)
Cigarette Smoking , Electronic Nicotine Delivery Systems , Smoking Cessation , Tobacco Products , Vaping , Adolescent , Adult , Cigarette Smoking/therapy , Humans , Smoking Cessation/methods , Vaping/adverse effectsABSTRACT
The steady increase in smoking rates has led to a call for wide-reaching and scalable interventions for smoking cessation in Qatar. This study examined the feasibility and acceptability of an evidence-based smoking cessation program delivered by telephone for Qatari residents. A total of 248 participants were recruited through primary care centers and received five weekly scheduled proactive behavioral counseling calls from personnel trained in tobacco cessation and navigation to obtain cessation pharmacotherapy from clinics. Outcomes were assessed at end of treatment (EOT), and 1- and-3-month follow up. The Mann-Whitney test was used to compare the average number of participants recruited per month pre- and post-COVID. We recruited 16 participants/month, the majority (85.5%) attended at least one counselling session, and 95.4% used some of pharmacotherapy. Retention rates were 70% at EOT, 64.4% and 71.7% at 1- and 3-month follow up, respectively; 86% reported being 'extremely satisfied' by the program. Our ITT 7-day point prevalence abstinence was 41.6% at EOT, 38.4% and 39.3% at 1-and 3-month, respectively. The average number of participants recruited per month was significantly higher for pre vs. post-COVID (18.9 vs. 10.0, p-value = 0.02). Average number of participants retained at EOT per recruitment month showed a slight decrease from 8.6 pre- to 8.2 post-COVID; average number who quit smoking at EOT per recruitment month also showed a decrease from 6 to 4.6. The study results indicated that our telephone-based intervention is feasible and acceptable in this population and presents a new treatment model which can be easily disseminated to a broad population of Qatari smokers.
Subject(s)
COVID-19 , Smoking Cessation , Humans , Smoking Cessation/methods , Feasibility Studies , Smoking , Telephone , Counseling/methodsABSTRACT
Background: Implementation mapping (IM) is a promising five-step method for guiding planning, execution, and maintenance of an innovation. Case examples are valuable for implementation practitioners to understand considerations for applying IM. This pilot study aimed to determine the feasibility of using IM within a federally qualified health center (FQHC) with limited funds and a 1-year timeline. Methods: An urban FQHC partnered with an academic team to employ IM for implementing a computerized strategy of tobacco cessation: the 5A's (Ask, Advise, Assess, Assist, Arrange). Each step of IM was supplemented with theory-driven methods and frameworks. Data collection included surveys and interviews with clinic staff, analyzed via rapid data analysis. Results: Medical assistants and clinicians were identified as primary implementers of the 5A's intervention. Salient determinants of change included the perceived compatibility and relative priority of 5A's. Performance objectives and change objectives were derived to address these determinants, along with a suite of implementation strategies. Despite indicators of adoptability and acceptability of the 5A's, reductions in willingness to adopt the implementation package occurred over time and the intervention was not adopted by the FQHC within the study timeframe. This is likely due to the strain of the COVID-19 pandemic altering health clinic priorities. Conclusions: Administratively, the five IM steps are feasible to conduct with FQHC staff within 1 year. However, this study did not obtain its intended outcomes. Lessons learned include the importance of re-assessing barriers over time and ensuring a longer timeframe to observe implementation outcomes.
Subject(s)
COVID-19 , Smoking Cessation , Tobacco Use Cessation , Humans , Pandemics , Pilot Projects , Smoking Cessation/methodsABSTRACT
OBJECTIVE: To examine effectiveness, cost effectiveness, generalisability, and acceptability of financial incentives for smoking cessation during pregnancy in addition to variously organised UK stop smoking services. DESIGN: Pragmatic, multicentre, single blinded, phase 3, randomised controlled trial (Cessation in Pregnancy Incentives Trial phase 3 (CPIT III)). SETTING: Seven UK stop smoking services provided in primary and secondary care facilities in Scotland, Northern Ireland, and England. PARTICIPANTS: 944 pregnant women (age ≥16 years) who self-reported as being smokers (at least one cigarette in the past week) when asked at first maternity visit, less than 24 weeks' gestation, and notified to the trial team by routine stop smoking services. INTERVENTIONS: Participants in the control group were offered the standard stop smoking services, which includes the offer of counselling by specially trained workers using withdrawal orientated therapy and the offer of free nicotine replacement therapy. The intervention was the offer of usual support from the stop smoking services and the addition of up to £400 ($440; 455) of LoveToShop financial voucher incentives for engaging with current stop smoking services or to stop smoking, or both, during pregnancy. MAIN OUTCOME MEASURES: Self-reported smoking cessation in late pregnancy (between 34 and 38 weeks' gestation) corroborated by saliva cotinine (and anabasine if using nicotine replacement products). Results were adjusted for age, smoking years, index of multiple deprivation, Fagerström score, before or after covid, and recruitment site. Secondary outcomes included point and continuous abstinence six months after expected date of delivery, engagement with stop smoking services, biochemically validated abstinence from smoking at four weeks after stop smoking date, birth weight of baby, cost effectiveness, generalisability documenting formats of stop smoking services, and acceptability to pregnant women and their carers. RESULTS: From 9 January 2018 to 4 April 2020, of 4032 women screened by stop smoking services, 944 people were randomly assigned to the intervention group (n=471) or the control group (n=470). Three people asked for their data to be removed. 126 (27%) of 471 participants stopped smoking from the intervention group and 58 (12%) of 470 from the control group (adjusted odds ratio 2.78 (1.94 to 3.97) P<0.001). Serious adverse events were miscarriages and other expected pregnancy events requiring hospital admission; all serious adverse events were unrelated to the intervention. Most people who stopped smoking from both groups relapsed after their baby was born. CONCLUSIONS: The offer of up to £400 of financial voucher incentives to stop smoking during pregnancy as an addition to current UK stop smoking services is highly effective. This bolt-on intervention supports new guidance from the UK National Institute for Health and Care Excellence, which includes the addition of financial incentives to support pregnant women to stop smoking. Continuing incentives to 12 months after birth is being examined to prevent relapse. TRIAL REGISTRATION: ISRCTN Registry ISRCTN15236311.
Subject(s)
COVID-19 , Smoking Cessation , Female , Humans , Pregnancy , Adolescent , Smoking Cessation/methods , Motivation , Pregnant Women , Tobacco Use Cessation Devices , Cotinine , Anabasine , Smoking/adverse effects , ScotlandABSTRACT
The COVID-19 epidemic and its psychological, economic and social consequences could have an impact on the evolution of tobacco-smoking prevalence and attitudes towards quitting. The aim of this study is to analyse the specific characteristics of the motivations for and barriers against smoking cessation in this period. The study is based on qualitative data collected from late 2020 to early 2021 in France from 89 smokers with a low or intermediate socio-economic level. Among the motivations for quitting smoking, health concerns and the financial cost of cigarettes carried increased importance among the smokers in this period. Inversely, perceived stress, isolation, and a lack of social or healthcare support prevented some smokers from attempting to quit. These results are useful for explaining the evolution of smoking prevalence and preparing future interventions in the context of the health crisis and its aftermath. They highlight the relevance of educational messages, of the promotion of validated smoking-cessation aids and, in particular, remote support, as well as the implementation of community-based actions.
Subject(s)
COVID-19 , Smoking Cessation , Humans , Smoking Cessation/methods , Motivation , COVID-19/epidemiology , Smoking/epidemiology , Smoking/psychology , Smokers/psychologyABSTRACT
INTRODUCTION: Treating tobacco dependency in patients admitted to hospital is a key priority in the National Health Service long-term plan. This service evaluation assessed the perception, needs and experience of care within an opt-out hospital-based tobacco dependency treatment service (the Conversation, Understand, Replace, Experts and Evidence Base (CURE) team) in North-West England. METHODS: A survey was offered to all eligible patients between 1 July 2020 and 30 September 2020. Eligibility criteria were adult patients identified as an active smoker being approached by the CURE team as part of the standard opt-out service model, on a non-covid ward without a high suspicion of COVID-19 infection and able to read and write in English. RESULTS: 106 completed surveys were evaluated. Participants demonstrated high levels of tobacco dependency with an average of 37 years smoking history and 66% describing the onset of cravings within 30 min of hospital admission. The average number quit attempts in the previous 12 months was 1.3 but only 9% had used the most effective National Institute for Health and Care Excellence (NICE) recommended treatments. 100% felt the opt-out service model was appropriate and 96% stated the treatment and support they had received had prompted them to consider a further quit attempt. 82% of participants rated their experience of care as 9/10 or 10/10. Participants wanted a broad range of support post discharge with the most popular option being with their general practitioner. 66% and 65% of participants would have been interested in a vaping kit as stop smoking intervention and support vaping-friendly hospital grounds respectively. CONCLUSION: These results suggest this hospital-based, opt-out tobacco dependency treatment service delivers high-quality experience of care and meets the needs of the patients it serves. It also highlights the opportunity to enhance outcomes by providing access to NICE recommended most-effective interventions (varenicline, vaping and combination nicotine replacement therapy) and providing flexible, individualised discharge pathways.
Subject(s)
COVID-19 , Smoking Cessation , Adult , Aftercare , COVID-19/therapy , Hospitals , Humans , Patient Discharge , Smoking Cessation/methods , State Medicine , Tobacco , Tobacco Use Cessation Devices , VareniclineABSTRACT
Smoking cessation after a cancer diagnosis can significantly improve a person's prognosis, treatment efficacy and safety, and quality of life. In 2012, Cancer Care Ontario (now part of Ontario Health) introduced a Framework for Smoking Cessation, to be implemented for new ambulatory cancer patients at the province's 14 Regional Cancer Centres (RCCs). Over time, the program has evolved to become more efficient, use data for robust performance management, and broaden its focus to include new patient populations and additional data collection. In 2017, the framework was revised from a 5As to a 3As brief intervention model, along with an opt-out approach to referrals. The revised model was based on emerging evidence, feedback from stakeholders, and an interim program evaluation. Results showed an initial increase in referrals to cessation services. Two indicators (tobacco use screening and acceptance of a referral) are routinely monitored as part of Ontario Health's system-wide performance management approach, which has been identified as a key driver of change among RCCs. Due to the COVID-19 pandemic, many RCCs reported a decrease in these indicators. RCCs that were able to maintain a high level of smoking cessation activities during the pandemic offer valuable lessons, including the opportunity to swiftly leverage virtual care. Future directions for the program include capturing data on cessation outcomes and expanding the intervention to new populations. A focus on system recovery from COVID-19 will be paramount. Smoking cessation must remain a core element of high-quality cancer care, so that patients achieve the best possible health benefits from their treatments.
Subject(s)
COVID-19 , Neoplasms, Second Primary , Neoplasms , Smoking Cessation , Humans , Neoplasms/epidemiology , Neoplasms/therapy , Ontario , Pandemics , Quality of Life , Smoking Cessation/methodsABSTRACT
It is unknown whether use of e-cigarettes increases susceptibility to COVID-19. In a large clinical sample of young adults, we evaluated whether current or ever e-cigarette use was associated with polymerase chain reaction (PCR)-confirmed COVID-19. To address the confounding of combustible smoking, the sample was restricted to never smokers. This retrospective cohort study analyzed data from the electronic health records of 74,853 young adults (aged 18-35 years), without a history of cigarette smoking, who were screened for e-cigarette use (current, former, never) in the Kaiser Permanente Northern California (KPNC) healthcare system from 3/5/2020 (baseline) to 11/30/2020 (pre-vaccine). COVID-19 risk was estimated in time-to-event analyses using multivariable Cox proportional hazard regression models, adjusted for socio-demographics and medical comorbidities. E-cigarette status in the cohort was: 1.6% current, 1.2% former, and 97.2% never. During follow-up, 1965 (2.6%) patients acquired COVID-19. We did not find evidence that current (vs never) e-cigarette use was associated with risk of COVID-19 (aHR = 1.12 95%CI:0.77-1.62). However, we did find suggestive evidence that former (versus never) e-cigarette use may be associated with greater risk of COVID-19 (aHR = 1.39 95%CI:0.98-1.96). While e-cigarette use is associated with health risks for young adults, results from this study suggest that current use of e-cigarettes may not increase susceptibility for COVID-19 among young adults who have never smoked cigarettes.
Subject(s)
COVID-19 , Cigarette Smoking , Electronic Nicotine Delivery Systems , Smoking Cessation , Vaping , COVID-19/epidemiology , Cigarette Smoking/adverse effects , Cigarette Smoking/epidemiology , Humans , Retrospective Studies , Smoking Cessation/methods , Vaping/adverse effects , Vaping/epidemiology , Young AdultABSTRACT
BACKGROUND: Tobacco addiction is the leading cause of preventable morbidity and mortality worldwide, but only 1 in 20 cessation attempts is supervised by a health professional. The potential advantages of mobile health (mHealth) can circumvent this problem and facilitate tobacco cessation interventions for public health systems. Given its easy scalability to large populations and great potential, chatbots are a potentially useful complement to usual treatment. OBJECTIVE: This study aims to assess the effectiveness of an evidence-based intervention to quit smoking via a chatbot in smartphones compared with usual clinical practice in primary care. METHODS: This is a pragmatic, multicenter, controlled, and randomized clinical trial involving 34 primary health care centers within the Madrid Health Service (Spain). Smokers over the age of 18 years who attended on-site consultation and accepted help to quit tobacco were recruited by their doctor or nurse and randomly allocated to receive usual care (control group [CG]) or an evidence-based chatbot intervention (intervention group [IG]). The interventions in both arms were based on the 5A's (ie, Ask, Advise, Assess, Assist, and Arrange) in the US Clinical Practice Guideline, which combines behavioral and pharmacological treatments and is structured in several follow-up appointments. The primary outcome was continuous abstinence from smoking that was biochemically validated after 6 months by the collaborators. The outcome analysis was blinded to allocation of patients, although participants were unblinded to group assignment. An intention-to-treat analysis, using the baseline-observation-carried-forward approach for missing data, and logistic regression models with robust estimators were employed for assessing the primary outcomes. RESULTS: The trial was conducted between October 1, 2018, and March 31, 2019. The sample included 513 patients (242 in the IG and 271 in the CG), with an average age of 49.8 (SD 10.82) years and gender ratio of 59.3% (304/513) women and 40.7% (209/513) men. Of them, 232 patients (45.2%) completed the follow-up, 104/242 (42.9%) in the IG and 128/271 (47.2%) in the CG. In the intention-to-treat analysis, the biochemically validated abstinence rate at 6 months was higher in the IG (63/242, 26%) compared with that in the CG (51/271, 18.8%; odds ratio 1.52, 95% CI 1.00-2.31; P=.05). After adjusting for basal CO-oximetry and bupropion intake, no substantial changes were observed (odds ratio 1.52, 95% CI 0.99-2.33; P=.05; pseudo-R2=0.045). In the IG, 61.2% (148/242) of users accessed the chatbot, average chatbot-patient interaction time was 121 (95% CI 121.1-140.0) minutes, and average number of contacts was 45.56 (SD 36.32). CONCLUSIONS: A treatment including a chatbot for helping with tobacco cessation was more effective than usual clinical practice in primary care. However, this outcome was at the limit of statistical significance, and therefore these promising results must be interpreted with caution. TRIAL REGISTRATION: Clinicaltrials.gov NCT03445507; https://tinyurl.com/mrnfcmtd. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s12911-019-0972-z.
Subject(s)
Smoking Cessation , Telemedicine , Tobacco Use Cessation , Adult , Female , Humans , Male , Middle Aged , Primary Health Care , Smoking Cessation/methods , Tobacco Use Cessation/methods , Treatment OutcomeABSTRACT
INTRODUCTION: Understanding the prevalence of cannabis use among tobacco smokers has important implications for research in terms of intervention effectiveness and measurement in smoking cessation trials. The co-use of these substances also has important implications for health service planning, specifically ensuring appropriate and adequate clinical treatment. To date, there have been no synthesis of the literature on the prevalence of tobacco and cannabis co-use in adult clinical populations. Improved understanding of the current prevalence, route of administration and specific subpopulations with the highest rates of tobacco and cannabis co-use will support future intervention development. We aim to provide a pooled estimate of the percentage of smokers who report using cannabis and to examine the prevalence of co-use by sociodemographic characteristics. METHODS AND ANALYSIS: We will conduct a systematic review using six scientific databases with published articles from 2000 to 2022 inclusive (CENTRAL, CINAHL, EMBASE, Medline, PsycINFO, Psychology and Behavioural Sciences Collection, Scopus). Peer-reviewed journal articles published in English that report on tobacco and cannabis use will be included. Rates of co-use (simultaneous or sequentially) and routes of administration will be assessed. Use in populations groups will be described. Quality assessments will be conducted for all included studies. Data will be synthesised using a narrative approach. This study will be conducted from June 2022 to the end of August 2022. ETHICS AND DISSEMINATION: This review is based on previously published data and, therefore, ethical approval or written informed consent will not be required. It is the intention of the research team to disseminate the results of the systematic review as a peer-reviewed publication and conference presentations. PROSPERO REGISTRATION NUMBER: CRD42020194051.
Subject(s)
Cannabis , Smoking Cessation , Adult , Humans , Prevalence , Smokers , Smoking Cessation/methods , Systematic Reviews as Topic , Tobacco UseABSTRACT
BACKGROUND: Tobacco smoking is the leading cause of disease, death, and disability in the United States. Dental practitioners are advised to provide evidence-based smoking cessation interventions to their patients, yet dental practitioners frequently fail to deliver brief smoking cessation advice. OBJECTIVES: To test whether giving dental practitioners a clinical decisions support (CDS) system embedded in their electronic dental record would increase the rate at which patients who smoke (1) report receiving a brief intervention or referral to treatment during a recent dental visit, (2) taking action related to smoking cessation within 7 days of visit, and (3) stop smoking for 1 day or more or reduce the amount smoked by 50% within 6 months. METHODS: Two-group, parallel arm, cluster-randomized trial. From March through December 2019, 15 nonacademic primary care dental clinics were randomized via covariate adaptive randomization to either a usual care arm or the CDS arm. Adult smokers completed an initial telephone survey within 7 days of their visit and another survey after 6 months. RESULTS: Forty-three patients from 5 CDS and 13 patients from 2 usual care clinics completed the 7-day survey. While the proportion of patients who reported receipt of a brief intervention or referral to treatment was significantly greater in the CDS arm than the usual care arm (84.3% vs 58.6%; Pâ¯=â¯.005), the differences in percentage of patients who took any action related to smoking cessation within 7 days (44.4% vs 22.3%; P = .077), or stopped smoking for one day or more and/or reduced amount smoked by 50% within 6 months (63.1% vs 46.2%; Pâ¯=â¯.405) were large but not statistically significant. CONCLUSIONS: Despite interruption by COVID-19, these results demonstrate a promising approach to assist dental practitioners in providing their patients with smoking cessation screening, brief intervention and referral to treatment.
Subject(s)
COVID-19 , Decision Support Systems, Clinical , Smoking Cessation , Adult , Dentists , Humans , Professional Role , Smoking Cessation/methodsABSTRACT
The COVID-19 pandemic is a global health threat. Smoking and smoking-related lung diseases are risk factors for severe COVID-19 infection. This study investigated whether low-dose computed tomography (LDCT) scan results affected the success of 1-year smoking cessation. The Gyeonggi Southern Smoking Support Center performed the residential smoking cessation program from January to December 2018. During the program, LDCT was performed on 292 participants; 6 months later, follow-up via telephone or visit was conducted. Among the 179 participants who succeeded in smoking cessation for 6 months, telephone follow-up was conducted to determine whether there was a 12-month continuous smoking cessation. In order to evaluate the association between LDCT results and 12-month continuous abstinence rate (CAR), logistic regression was used to estimate the odds ratio (OR) and 95% confidence interval (CI). The CARs at 6 and 12 months were 61.3% and 31.5%, respectively. Indeterminate or suspicious malignant lung nodules were associated with a higher 12-month CAR (OR, 3.02; 95% CI, 1.15-7.98), whereas psychiatric history was associated with a lower 12-month CAR (OR, 0.06; 95% CI, 0.03-0.15). These results suggest that abnormal lung screening results may encourage smokers to quit smoking.
Subject(s)
COVID-19 , Smoking Cessation , Humans , Pandemics , Smoking/adverse effects , Smoking/epidemiology , Smoking Cessation/methods , Tomography, X-Ray ComputedABSTRACT
PURPOSE: The purpose of the Loma Linda University Health (LLUH) BREATHE cohort is to test the efficacy of a novel method of continuously incentivising participation in workplace smoking cessation on participation, long-term abstinence, health outcomes, healthcare costs and healthcare utilisation. PARTICIPANTS: In 2014, LLUH-a US academic medical centre and university-incentivised participation in a workplace smoking cessation programme (LLUH BREATHE) by lowering health plan costs. Specifically, LLUH introduced a Wholeness Health Plan (WHP) option that, for the smokers, continuously incentivises participation in nicotine screening and the LLUH BREATHE smoking cessation programme by offering an 'opt-in wellness discount' that consisted of 50%-53% lower out of pocket health plan costs (ie, monthly employee premiums, copayments). This novel 'continuously incentivised' model lowers annual health plan costs for smokers who, on an annual basis, attempt or maintain cessation from tobacco use. The annual WHP cost savings for smokers far exceed the value of short-term incentives that have been tested in workplace cessation trials to date. This ongoing health plan option offered to over 16 000 employees has created an open, dynamic LLUH BREATHE cohort of current and former smokers (n=1092). FINDINGS TO DATE: Our profile of the LLUH BREATHE cohort indicates that after 5 years of follow-up in a prospective cohort study (2014-2019), continuously incentivised smoking cessation produced a 74% participation (95% CI (71% to 77%)) in employer-sponsored smoking cessation attempts that were occurring less than a year after the incentive was offered. The cohort can be purposed to examine the effect of continuously incentivised cessation on cessation outcomes, health plan utilisation/costs, use of electronic nicotine delivery systems, and COVID-19 outcomes.
Subject(s)
COVID-19 , Loma , Smoking Cessation , Cohort Studies , Humans , Prospective Studies , Smoking Cessation/methods , UniversitiesABSTRACT
INTRODUCTION: The COVID-19 pandemic caused a rapid shift to virtual care, with largely unknown consequences for accessibility. The purpose of this study is to examine pandemic-related changes in use of care for smoking cessation. AIMS AND METHODS: We conducted a secondary analysis 65 565 enrollments in a large smoking cessation program in Ontario, Canada. We used piecewise mixed-effects regression to examine how weeks nicotine replacement therapy (NRT) received, as well as counseling provided and visits attended, varied with date of enrollment over three time periods: more than 6 months before the pandemic began; the 6 months before the pandemic; and the pandemic period itself. We then examined changes in the associations between use of care and participant characteristics by fitting a model including a set of interactions between time and other variables. Based on an omnibus test of these interactions, we then tested individual terms, using the Holm method to control the family-wise error rate. RESULTS: From the start of the pandemic in March 2020, the total weeks of NRT provided rose significantly and then declined, while the amount of counseling fell. Associations between NRT use and participant characteristics changed significantly after the pandemic onset. Individual models showed that people with lower income, living in areas of higher marginalization, unable to work, and reporting higher levels of depressive symptoms all received NRT for a longer time during the pandemic period. CONCLUSIONS: The pandemic led to small but significant changes in the amount of services used per enrollment. The transition to remote care appears to have reduced the effects of socioeconomic and health barriers. IMPLICATIONS: The amount of care used by participants in tobacco cessation treatment is known to be associated with health and sociodemographic characteristics. Most of these associations did not change markedly following the pandemic-related switch to virtual care in 2020; however, the effects of some economic and health barriers seem to have lessened, perhaps because of a likely reduction in transport and time requirements of treatment.
Subject(s)
COVID-19 , Smoking Cessation , COVID-19/epidemiology , Humans , Nicotine , Ontario/epidemiology , Pandemics , Smoking Cessation/methods , Tobacco Use Cessation DevicesABSTRACT
BACKGROUND: Smoking cigarettes worsens COVID-19 outcomes, and news media and health agencies have been communicating about that. However, few studies have examined how these messages affect attitudes, beliefs, and behavioral intentions of people who smoke. These are critical variables that can inform public health campaigns to motivate quitting smoking during the COVID-19 crisis. METHODS: In August 2020, we conducted an online experiment in the U.S. with 1,004 adults who smoke. Participants were randomized to one of four message conditions: COVID-19 risk, smoking risk, combined risk of smoking for COVID-19 severity, or a non-risk control. Outcomes were message reactions (emotions and reactance), attitudes and beliefs (severity, susceptibility, self-efficacy, response efficacy for smoking and COVID-19, and conspiracy beliefs), and behavioral intentions (smoking intentions, COVID-protective intentions, and information-seeking). RESULTS: Multivariate analysis of covariance (MANCOVA) showed that combined risk messages elicited higher perceived severity of smoking-related disease than control messages. Similarly, the combined risk condition resulted in greater intentions to quit smoking in the next month (vs. COVID-19 risk condition) and intentions to reduce smoking in the next 6 months (vs. smoking risk and control; ps < .05). Multivariate logistic regression found that exposure to the combined risk messages (vs. control as referent) was associated with higher odds of mask-wearing intentions in the next 2 weeks (AOR = 1.97). CONCLUSIONS: Health agencies can possibly use messages that communicate about the combined risk of smoking and COVID-19 as a novel strategy to motivate people who smoke to quit and take protective action for COVID-19.
Subject(s)
COVID-19 , Smoking Cessation , Adult , COVID-19/epidemiology , COVID-19/prevention & control , Health Promotion/methods , Humans , Intention , Smoking/epidemiology , Smoking Cessation/methodsABSTRACT
Alcohol use among people living with HIV (PWH) has been increasingly recognized as an important component of HIV care. Transdiagnostic treatments, such as Acceptance and Commitment Therapy (ACT), that target core processes common to multiple mental health and substance-related problems, may be ideal in HIV treatment settings where psychological and behavioral health comorbidities are high. In advance of a randomized clinical trial (RCT), the overall objective of this study was to systematically adapt an ACT-based intervention originally developed for smoking cessation, into an ACT intervention for PWH who drink at hazardous levels. Consistent with the ADAPT-ITT model, the adaptation progressed systematically in several phases, which included structured team meetings, three focus group discussions with PWH (N = 13), and in-depth interviews with HIV providers (N = 10), and development of standardized operating procedures for interventionist training, supervision, and eventual RCT implementation. The procedures described here offer a template for transparent reporting on early phase behavioral RCTs.