Using Diverse Communication Strategies to Re-Engage Relapsed Tobacco Quitline Users in Treatment, New York State, 2014

Reengagement for Long-Term Smoking-Cessation In Military Personnel, Retirees, Family Members (TRICARE): A Randomized Trial

INTRODUCTION

We sought to determine what type of treatment reengagement after smoking relapse would increase long-term cessation.

AIMS AND METHODS

Participants were military personnel, retirees, and family members (TRICARE beneficiaries) recruited across the United States from August 2015 through June 2020. At baseline, consented participants (n = 614) received a validated, four-session, telephonic tobacco-cessation intervention with free nicotine replacement therapy. At the 3-month follow-up, 264 participants who failed to quit or relapsed were offered the opportunity to reengage in cessation. Of these, 134 were randomized into three reengagement conditions: (1) repeat initial intervention ("recycle"), (2) Smoking reduction with eventual cessation goal ("rate reduction"), or (3) Choose #1 or #2 ("choice"). Prolonged abstinence and 7-day point prevalence abstinence were measured at 12 months.

RESULTS

Despite being in a clinical trial advertised as having the opportunity for reengagement, only 51% (134 of the 264) of participants who still smoked at 3-month follow-up were willing to reengage. Overall, participants randomized to recycle had higher prolonged cessation rates at 12 months than rate reduction conditions (OR = 16.43, 95% CI: 2.52 to 107.09, Bonferroni adjusted p = .011). When participants who randomly received recycle or rate reduction were pooled, respectively, with participants who chose recycle or rate reduction in the Choice group, recycle had higher prolonged cessation rates at 12 months than rate reduction (OR = 6.50, 95% CI: 1.49 to 28.42, p = .013).

CONCLUSIONS

Our findings suggest service members and their family members who fail to quit smoking but are willing to reengage in a cessation program are more likely to benefit from repeating the same treatment.

IMPLICATIONS

Finding methods that are both successful and acceptable to reengage people who smoke who want to quit can have a significant impact on improving the health of the public by reducing the portion of the population who smoke. This study suggests that repeating established cessation programs will result in more people ready to quit successfully achieving their goal.

Tobacco quitline performance: Comparing the impacts of early cessation and proactive re-engagement on callers' smoking status at follow-up at 12 months

INTRODUCTION

While tobacco Quitlines are effective in the promotion of smoking cessation, the majority of callers who wish to quit still fail to do so. The aim of this study was to determine if 12-month tobacco Quitline smoking cessation rates could be improved with re-engagement of callers whose first Quitline treatment failed to establish abstinence.

METHODS

In an adaptive trial, 614 adult smokers, who were active duty, retired, and family of military personnel with TRICARE insurance who called a tobacco Quitline, received a previously evaluated and efficacious four-session tobacco cessation intervention with nicotine replacement therapy (NRT). At the scheduled follow-up at 3 months, callers who had not yet achieved abstinence were offered the opportunity to re-engage. This resulted in three caller groups: 1) those who were abstinent, 2) those who were still smoking but willing to re-engage with an additional Quitline treatment; and 3) individuals who were still smoking but declined re-engagement. A propensity score-adjusted logistic regression model was generated to compare past-7-day point prevalence abstinence at 12 months post Quitline consultation.

RESULTS

Using a propensity score adjusted logistic regression model, comparison of the three groups resulted in higher odds of past-7-day point prevalence abstinence at follow-up at 12 months for those who were abstinent at 3 months compared to those who re-engaged (OR=9.6; 95% CI: 5.2-17.8; Bonferroni adjusted p<0.0001), and relative to those who declined re-engagement (OR=13.4; 95% CI: 6.8-26.3; Bonferroni adjusted p<0.0001). There was no statistically significant difference in smoking abstinence between smokers at 3 months who re-engaged and those who declined re-engagement (OR=1.39; 95% CI: 0.68-2.85).

CONCLUSIONS

Tobacco Quitlines seeking to select a single initiative by which to maximize abstinence at follow-up at 12 months may benefit from diverting additional resources from the re-engagement of callers whose initial quit attempt failed, toward changes which increase callers' probability of success within the first 3 months of treatment.

TRIAL REGISTRATION

This study is registered at clinicaltrials.gov (NCT02201810).

Predictors of Re-Engagement after Relapse in a Tobacco Quit Line Intervention: Secondary Analysis from a Randomized Clinical Trial

People who smoke often make several quit attempts before successfully maintaining abstinence. Therefore, incorporating re-engagement for people who fail to initially quit could increase quit attempts and ultimately increase cessation rates. Within the context of quit line-based interventions, it remains unknown what characteristics are associated with re-engagement. The purpose of this study was to assess associations between demographic and motivational characteristics, tobacco use, and initial intervention engagement with re-engagement in a tobacco quit line intervention. Among 372 adults who reported smoking three months after initiating a quit line-facilitated quit attempt as part of a larger randomized clinical trial, associations between personal characteristics (e.g., age, gender, nicotine dependence, and confidence in their ability to quit smoking) and initial intervention engagement (number of completed counseling sessions and use of nicotine replacement therapy (NRT)) with re-engagement (accepting an offer to re-initiate the quit line intervention) were determined using multivariable logistic regression modeling. Compared to non-White participants, White participants had lower odds of re-engaging (OR: 0.42, 95% CI: 0.23, 0.75). Number of initial counseling sessions completed was associated with re-engaging. NRT use during the initial intervention was not associated with re-engaging. Initial intervention engagement is important in the process of re-engagement, specifically attending counseling sessions. Exploration of associations between initial intervention engagement and potentially modifiable motivational factors is needed to be potentially leveraged in future interventions to maintain continued engagement in cessation among adults who smoke.

Electronic referrals to the tobacco Quitline: implementation strategies in a large health system to optimize delivery of tobacco cessation to patients

Electronic referrals provide an efficient solution for clinicians to connect patients to free tobacco cessation services, such as the tobacco Quitline. However, strategic planning is necessary for the successful adoption of this method across the health care system. The purpose of this study was to develop an implementation strategy for electronic referrals to the tobacco Quitline in a large health system. A clinical decision support tool created a closed-loop e-referral pathway between the electronic health record system and the Quitline. Multilevel strategies were developed to implement the e-referral process across the entire health system, including leadership buy-in, Epic tip sheets, newsletters, training for practice champions and staff, physician educator, patient-focused advertisements, and video clips distribution by the Maryland Department of Health Center for Tobacco Prevention and Control. The implementation of a system-wide e-referral pathway for tobacco cessation involved continuous clinician education and training, systematic quality control, and engaging "champion" clinicians. Postimplementation data analysis revealed that 1,790 e-referrals were received by the Quitline in 2018-2019, of which 18% accepted follow-up services, 18% declined, and 64% were not reached after multiple attempts. Among 322 patients who accepted Quitline services, 55% requested nicotine replacement therapy. Overall, 282 clinicians referred patients, including 107 primary care physicians and 175 specialists; 62 clinicians e-referred 72% patients, thereby emerging as "tobacco champions." The e-referral process is an efficient method for tobacco users to receive a cessation referral from clinicians. Sustainability can be achieved through leadership buy-in, physician ease of use, patient motivation, information technology supports, and reminders.

Using Digital Technologies to Reach Tobacco Users Who Want to Quit: Evidence From the National Cancer Institute's Smokefree.gov Initiative

The rapid growth of smartphone ownership and broadband access has created new opportunities to reach smokers with cessation information and support using digital technologies. These technologies can both complement and be integrated with traditional support modalities such as telephone quitlines and 1-on-1 clinical cessation counseling. The National Cancer Institute's Smokefree.gov Initiative provides free, evidence-based cessation support to the public through a multimodal suite of digital interventions, including several mobile-optimized websites, text messaging programs, and 2 mobile applications. In addition to digital resources directed at the general population, the Smokefree.gov Initiative includes population-specific resources targeted to adolescents, women, military veterans, Spanish speakers, older adults, and other populations. This paper describes the reach and use of the Smokefree.gov Initiative's resources over a 5-year period between 2014 and 2018, including how users interact with the program's digital content in ways that facilitate engagement with live counseling support. Use of Smokefree.gov Initiative resources has grown steadily over time; in 2018 alone, approximately 7-8 million people accessed Smokefree.gov Initiative web- and mobile-based resources. Smokefree.gov Initiative utilization data show that people take advantage of the full range of technology tools and options offered as part of the Smokefree.gov Initiative's multiplatform intervention. The Smokefree.gov Initiative experience suggests that offering different, complementary technology options to meet the needs and preferences of smokers has the potential to meaningfully expand the reach of cessation treatment.

Quitting the quitline: a qualitative study of patient experience of electronic referrals to quitlines

BACKGROUND

The use of electronic referrals (eReferrals) to state quitlines (QLs) for tobacco-using patients is a promising approach for addressing smoking cessation on a large scale. However, QL contact, enrollment, and completion rates are low. The purpose of this study was to examine the eReferral to QL process from the patient's perspective in order to inform strategies for improving QL engagement.

METHODS

We conducted interviews with 55 patients who agreed to an eReferral at a primary care visit to 1 of 8 safety-net community health centers in Cuyahoga County, Ohio (September 2017-August 2018). Interviews were designed to explore the experiences of three subgroups of patients who subsequently: 1) declined participation in the QL; 2) were unreachable by the QL; or 3) were enrolled in or had completed the QL program. Analysis was guided by a phenomenological approach designed to identify emergent themes.

RESULTS

Reasons for QL program non-completion included changing life circumstances and events making cessation unviable; misunderstandings about the QL; discomfort with telephonic counseling; perceived lack of time for counseling; cell phone barriers; and having already quit smoking. We found that some individuals who were no longer engaged with the QL still desired continued support from the QL.

CONCLUSIONS

Participants intentionally and unintentionally disengage from the QL for a wide variety of reasons, several of which are mediated by low socioeconomic status. Integrating QL care with community-based resources that address these mediators could be a promising strategy.

They Came, But Will They Come Back? An Observational Study of Re-Enrollment Predictors for the Oklahoma Tobacco Helpline

PURPOSE

Although quitlines reach 1% to 2% of tobacco users annually, additional efforts are needed to increase their impact. We hypothesized that offering less intensive services would increase the rate of re-enrollment in any service, as well as re-enrollment in more intensive services. This study describes the enrollment patterns and identifies re-enrollment predictors for Oklahoma Tobacco Helpline (OTH) participants.

DESIGN

This study used a comparative observational design.

SETTING

The setting for this study was the OTH, a telephone-based cessation program funded by the Oklahoma Tobacco Settlement Endowment Trust. The OTH participants could select either a multicall telephone-based cessation program (MC) or one or more individual services (IS), including a 2-week nicotine replacement therapy (NRT) starter kit, e-mail or text-based support, and a printed quit guide.

PARTICIPANTS

A total of 35 648 first-time adult OTH participants eligible for the multicall program from October 2015 through September 2018 were included.

MEASURES

Demographic and tobacco use variables and initial quitline service selection were collected at intake. Additional service utilization was tracked for 6 months following initial registration.

ANALYSIS

Pearson chi-square and t tests were used to test for significant differences between groups. Multinomial logistic regression was used to examine predictors of re-enrollment.

RESULTS

Individual services were more frequently selected (n = 17 266) than MC (n = 14 326), despite all users being eligible for MC. A much higher proportion of IS registrants re-enrolled than MC registrants (16% vs 3%, P < .0001) Among the IS cohort, those who received an NRT follow-up call were 14.7 times more likely to re-enroll in IS, and 7.8 times more likely to re-enroll in MC, than those who were not reached by phone.

CONCLUSIONS

Access to free NRT without a telephone-coaching requirement is a draw for tobacco users, especially those with lower income and the uninsured. The results suggest the value of increasing use of nonphone services in an effort to increase interest in quitting and reach.

Text Messaging in Oncology: A Review of the Landscape

Text messaging via short messaging service (SMS) is a common route of communication in the United States and offers many advantages to improve health care delivery compared with other forms of mHealth. Text messaging is easy to use, is convenient, is more likely to be viewed than e-mail, and can be tailored to an individual recipient's needs. Despite evidence that patients with cancer desire more mobile-based communication, there are few examples of successful text messaging interventions in the literature. This narrative review examines the current landscape of SMS-based interventions across the continuum of cancer care, including addressing behavioral change, attendance to screening and follow-up appointments, adherence to treatment, and assessment of symptoms and quality of life. Finally, we explore some of the barriers to implementation of a successful text messaging intervention.

Factors Predicting Client Re-Enrollment in Tobacco Cessation Services in a State Quitline

Introduction

Quitlines are an integral part of tobacco treatment programs and reach groups of smokers who have a wide range of barriers to cessation. Although tobacco dependence is chronic and relapsing, little research exists on factors that predict the likelihood of clients re-engaging and reconnecting with quitlines for treatment. The objective of this study was to describe factors that predict the re-enrollment of clients in Arizona’s state quitline.

Methods

This was a retrospective analysis of data collected from clients (N = 49,284) enrolled in the Arizona Smokers’ Helpline from January 2011 through June 2016. We used logistic regression to analyze predictors of re-enrollment in services after controlling for theoretically relevant baseline variables (eg, nicotine dependence, smokers in the home) and follow-up variables (eg, program use, quit outcome).

Results

Compared with clients who reported being quit after their first enrollment, clients who reported not being quit were almost 3 times as likely to re-enroll (odds ratio = 2.89; 95% confidence interval, 2.54–3.30). Other predictors were having a chronic condition or a mental health condition, greater nicotine dependence, and lower levels of social support. Women and clients not having other smokers in the home were more likely to re-enroll than were men and clients not living with other smokers.

Conclusion

Understanding baseline and in-program factors that predict client-initiated re-enrollment can help quitlines tailor strategies to proactively re-engage clients who may have difficulty maintaining long-term abstinence.

Interactive Voice Response Calls to Promote Smoking Cessation after Hospital Discharge: Pooled Analysis of Two Randomized Clinical Trials

BACKGROUND

Hospitalization offers smokers an opportunity to quit smoking. Starting cessation treatment in hospital is effective, but sustaining treatment after discharge is a challenge. Automated telephone calls with interactive voice response (IVR) technology could support treatment continuance after discharge.

OBJECTIVE

To assess smokers' use of and satisfaction with an IVR-facilitated intervention and to test the relationship between intervention dose and smoking cessation.

DESIGN

Analysis of pooled quantitative and qualitative data from the intervention groups of two similar randomized controlled trials with 6-month follow-up.

PARTICIPANTS

A total of 878 smokers admitted to three hospitals. All received cessation counseling in hospital and planned to stop smoking after discharge.

INTERVENTION

After discharge, participants received free cessation medication and five automated IVR calls over 3 months. Calls delivered messages promoting smoking cessation and medication adherence, offered medication refills, and triaged smokers to additional telephone counseling.

MAIN MEASURES

Number of IVR calls answered, patient satisfaction, biochemically validated tobacco abstinence 6 months after discharge.

KEY RESULTS

Participants answered a median of three of five IVR calls; 70% rated the calls as helpful, citing the social support, access to counseling and medication, and reminders to quit as positive factors. Older smokers (OR 1.36, 95% CI 1.20-1.54 per decade) and smokers hospitalized for a smoking-related disease (OR 1.65, 95% CI 1.21-2.23) completed more calls. Smokers who completed more calls had higher quit rates at 6-month follow-up (OR 1.49, 95% CI 1.30-1.70, for each additional call) after multivariable adjustment for age, sex, education, discharge diagnosis, nicotine dependence, duration of medication use, and perceived importance of and confidence in quitting.

CONCLUSIONS

Automated IVR calls to support smoking cessation after hospital discharge were viewed favorably by patients. Higher IVR utilization was associated with higher odds of tobacco abstinence at 6-month follow-up. IVR technology offers health care systems a potentially scalable means of sustaining tobacco cessation interventions after hospital discharge.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov Identifiers NCT01177176, NCT01714323.

Step Care treatment for smoking cessation

We compared the effectiveness of a ‘stepped care’ approach with increasing treatment intensity (‘Step Care’) to one with repeated treatments (‘Recycle’) among cigarette smokers interested in quitting smoking. Step 1 of the Step Care intervention consisted of a single counseling session, nicotine patch for six weeks and telephonic contact. For smokers not achieving tobacco abstinence 6 months after randomization with Step 1, the intensity of the intervention increased to four counseling sessions, bupropion sustained-release, nine telephone calls and three mailings (Step 2). For those not achieving tobacco abstinence 12 months after randomization, smokers received six behavioral counseling sessions, nicotine patch and nicotine gum, nine telephone calls and three mailings (Step 3). The Recycle participants received one session of health behavior counseling, six weeks of the nicotine patch and a telephone call at each step. 270 cigarette smokers were randomized. At 24 months after randomization using an intention to treat analysis, no statistically significant difference was observed in prolonged smoking abstinence between the Step Care and Recycle condition (16.9% versus 9.4%; adjusted OR = 1.88; 95% CI 0.88–4.01; P =0.10). Additional research is needed to explore whether a stepped care intervention increases long-term smoking abstinence rates compared with repeating the same intervention.

The Effect of Re-randomization in a Smoking Cessation Trial

OBJECTIVES

The purpose of this sub-study was to determine whether operating engineers (heavy equipment operators) who failed to quit smoking in a randomized controlled trial would benefit from re-exposure to the interventions one year later.

METHODS

Operating Engineers attending workplace safety training groups during the winters of 2010 to 2012 were randomized by training group to either to the Tobacco Tactics Web-based intervention or the 1-800-QUIT-NOW telephone line. Of the 145 original participants, 41 reappeared in training groups one year later and were re-randomized with their group. Seven-day point prevalence quit rates at 30-days and 6-months post-intervention were analyzed using the chi-square test and Fisher's exact test.

RESULTS

At 30-day follow-up, an additional 9.8% (4/41) of repeaters had quit smoking. At 6-month follow-up, 12.2% (5/41) of repeaters had quit smoking. At 30-day follow-up, increased quitting was more common among those re-randomized to the intervention group than among those who received the control treatment, although this was not statistically significant and was no longer true at 6-month follow-up.

CONCLUSIONS

Because many smokers make multiple attempts to quit smoking, re-enrollment of participants in smoking cessation trials may produce additional quitters.