Smoking cessation among US adults: use of e-cigarettes, including JUUL, and NRT use

Predictors of Nicotine Replacement Therapy Adherence: Mixed-Methods Research With a Convergent Parallel Design

BACKGROUND

Few studies have examined the effect of baseline attitudes toward nicotine replacement therapy (NRT) on its actual adherence in a smoking cessation intervention.

PURPOSE

This study (i) examined the predictability of baseline variables (quantitative data) on NRT adherence and (ii) explored the congruence of participants' statements about NRT products (qualitative data) during counseling sessions with their baseline attitudes.

METHODS

This is a mixed-methods research study using a convergent parallel design. Participants included 74 individuals in the treatment group who received behavioral counseling and combination NRT. A Poisson regression analysis was performed to identify baseline variables predicting NRT adherence. Thematic analysis was completed with a subset of participants (n = 38) who varied in NRT attitude scores and adherence. A joint display was created to integrate quantitative and qualitative data and discover convergence.

RESULTS

Approximately 59% of the participants (41/74) used NRT continuously for ≥5 weeks. Having negative attitudes toward NRT and depressive symptoms predicted NRT adherence even after controlling for education and anxiety symptoms. Thematic analysis revealed that NRT adherence is a learning process that consists of the following three distinctive but interrelated phases: (i) information needs, (ii) comprehensive readiness, and (iii) experiential learning. Of the 38 participants, 34 (89.5%) showed convergence between baseline attitude scores and statements about NRT made during counseling sessions.

CONCLUSIONS

Individuals who have negative attitudes toward NRT are less likely to use the products in a smoking cessation intervention. Counselors should assess attitudes toward NRT at baseline and address them proactively during counseling sessions.

Quitline Promotion to Medicaid Members Who Smoke: Effects of COVID-19-Specific Messaging and a Free Patch Offer

INTRODUCTION

People who smoke are at increased risk of serious COVID-19-related disease but have had reduced access to cessation treatment during the pandemic. This study tested 2 approaches to promoting quitline services to Medicaid members who smoke at high rates: using COVID-19-specific messaging and offering free nicotine patches. The hypotheses were that both would increase enrollment.

METHODS

A California Medicaid mailing from October 2020 to January 2021 (N=7,489,093) included 4 versions of a flyer following a 2 × 2 design comparing generic with COVID-19-specific messaging and a no-patch with free-patch offer. The main outcome measure was quitline enrollments. Quit outcomes (attempted quitting, quit ≥7 days, quit ≥30 days) were assessed at 2 months. A subsequent free-patch offer was sent to all members (N=7,577,198) from April 2021 to June 2021. Data were collected in 2020-2021 and analyzed in 2022.

RESULTS

The first mailing generated 1,753 enrollments. Response rates were 0.023% and 0.024% for generic and COVID-19-specific messaging, respectively (p=0.538), and 0.006% and 0.041% for no-patch and free-patch offers, respectively, the latter being 6.7 times more effective than the former (p<0.0001). Quit outcomes were comparable across conditions. The subsequent free-patch offer generated 3,546 enrollments at $40.28 per enrollee.

CONCLUSIONS

In a Medicaid mailing during COVID-19, offering free patches generated more than 6 times as many quitline enrollments as offering generic help. COVID-19-specific messaging was no more effective than generic messaging. Offering free patches was highly cost-effective. Medicaid programs partnering with quitlines should consider using similar strategies, especially during a pandemic when regular health care is disrupted.

The association between electronic cigarettes, sleep duration, and the adverse cardiovascular outcomes: Findings from behavioral risk factor surveillance system, 2020

The joint effect of electronic cigarette smoking and insufficient sleep duration on cardiovascular disease (CVD) was unclear. This cross-sectional study aimed to evaluate the association between electronic cigarettes, sleep duration, and risk of CVD among American adults. The participants who completed the survey from the behavioral risk factor surveillance system in 2020 were included in this study. The status of electronic cigarette smoking was divided into never, former, and current use. The duration of sleep was categorized into insufficient (<6 h), appropriate (6–9 h), and excessive (>9 h) groups. The CVD group was defined as a patient having any of the following conditions: heart attack, coronary heart disease, or stroke according to self-report. The multivariate logistic regression model was adopted to determine the association between electronic cigarettes, sleep duration, and the risk of CVD. Sensitivity analyses were performed to assess the joint effects on the risk of CVD subtypes, including heart attack, coronary heart disease, and strokes, respectively. Subgroup analyses were performed to estimate the joint effects within the stratum of the age group. The total number of participants included in the present study was 253,561. Of which, 22,908 patients had CVD. In total, 61,293 participants had previously or currently used electronic cigarettes and 37,429 participants had inappropriate sleep duration. Former electronic cigarette users had a 10.8% increased risk of having CVD (OR = 1.108, 95% CI: 1.001–1.227) compared to users who never had electronic cigarettes. Insufficient and excessive sleep durations are associated with increased risks of CVD (OR = 1.592, 95% CI: 1.460–1.735; OR = 1.523, 95% CI: 1.320–1.758). The participants with current vaping status and lack of sleep had a 159.6% increased risk of CVD (OR = 2.596, 95% CI: 1.810–3.723). Sensitivity analyses found similar joint effects of current vaping and insufficient sleep on the risk of heart attack, coronary heart attack, and stroke. The subgroup analyses across each age stratum found that the middle-aged group is most vulnerable to the joint effect of current vaping and insufficient sleep. This study found that both current vaping and inappropriate sleep duration were associated with CVD. Additionally, there was a significant joint effect of current vaping and insufficient sleep on the risk of CVD, especially for middle-aged participants.

A randomized pilot of a tailored smoking cessation quitline intervention for individuals who smoke and vape

INTRODUCTION

Although e-cigarettes are not a federally approved tobacco cessation aid in the US, many smokers use them to quit or cut down on smoking. Tailored behavioral support could improve rates of complete smoking cessation for those individuals. A novel behavioral treatment to help dual cigarette and e-cigarette users quit smoking was tested in a randomized pilot with a state tobacco quitline.

METHOD

96 dual users of cigarettes and e-cigarettes were recruited from incoming state quitline callers and randomized to receive enhanced e-cigarette coaching (EEC) or quitline treatment as usual (TAU) to examine EEC feasibility and acceptability. Outcomes at 3 months were treatment satisfaction, engagement, beliefs, and smoking cessation. This pilot was not powered to detect differences in quit rates.

RESULTS

69% responded to the 3-month survey. EEC treatment satisfaction was noninferior to TAU: 93.8% (30/32) of EEC and 73.5% (25/34) of TAU reported being "very satisfied" or "satisfied" with treatment. EEC participants completed more coaching calls than TAU (M=3.4 vs. M=2.7, p=0.03), and the majority in both groups elected to receive nicotine replacement therapy (EEC: 100%, TAU: 94%, p=0.24). With missing data imputed as smoking, intent to treat 7-day point prevalence smoking abstinence rates were 41.3% (19/46) for EEC and 28.0% (14/50) for TAU, p=0.20.

CONCLUSIONS

The EEC quitline intervention for dual cigarette and e-cigarette users demonstrated high levels of treatment satisfaction and engagement. This pilot was not powered to detect significant differences in smoking cessation; however, cessation rates were promising and warrant evaluation in a fully powered trial.

IMPLICATIONS

If this scalable behavioral treatment to help dual cigarette and e-cigarette users quit smoking proves to be effective in a larger trial, quitlines could implement this harm reduction approach to improve outcomes for callers who already use e-cigarettes and are planning to use them while quitting smoking.

Treatment development, implementation, and participant baseline characteristics: A randomized pilot study of a tailored quitline intervention for individuals who smoke and vape

Background

Approximately 57,000 dual users of cigarettes and e-cigarettes call state tobacco quitlines in the U.S. each year.

Methods

This paper describes a behavioral intervention for dual users of cigarettes and e-cigarettes designed to increase cigarette abstinence. It also presents baseline data from a randomized pilot comparing the Enhanced E-cigarette Coaching (EEC) intervention with quitline treatment as usual (TAU). Oklahoma Tobacco Helpline callers were recruited at registration and randomized to EEC (n = 46) or TAU (n = 50). Treatment included 5 coaching calls and free nicotine replacement therapy (NRT). EEC treatment included enhanced e-cigarette assessment, education, a shared decision-making quit plan development approach, and tailored behavioral support.

Results

Participants averaged 40.6 years of age and 19.2 cigarettes per day; 85% smoked daily, 48% vaped daily, and 53% reported medium to high e-cigarette dependence. Most reported using e-cigarettes to quit (43%) or to cut down (26%) on smoking. Most had previously tried to quit smoking (91%) and had tried FDA-approved cessation medications (79%). Beliefs about vaping, NRT, and smoking included misinformation. After discussing the relative risks of NRT, vaping, and smoking, most EEC participants (89%) selected a quit plan that incorporated both NRT and vaping.

Conclusions

At baseline, most participants reported a history of failed quit attempts with NRT and were vaping to quit or cut down on smoking, but they may need more support to completely quit smoking. If the EEC improves smoking outcomes, it would provide needed guidance on behavioral support best practices for individuals who vape and want to quit smoking.