Application of the ConNECT Framework to achieve digital health equity.

BACKGROUND: The emphasis on digital technology and informatics in health care (digital health) has introduced innovative ways to deliver health care and engage populations in health research. However, inadequate attention to the development and implementation of digital health interventions can exacerbate health disparities. PURPOSE: We applied the transdisciplinary ConNECT Framework principles within the context of digital health, with an aim to describe strategies to achieve digital health equity. METHODS: We described the five ConNECT principles of (a) integrating context, (b) fostering a norm of inclusion, (c) ensuring equitable diffusion of innovations, (d) harnessing communication technology, and (e) prioritizing specialized training within the framework of achieving digital health equity. FINDINGS AND DISCUSSION: We describe proactive, actionable strategies for the systematic application of the ConNECT Framework principles to address digital health equity. Recommendations to reduce the digital health divide in nursing research and practice are also described.

Development of a Conversational Agent for Individuals Ambivalent About Quitting Smoking: Protocol for a Proof-of-Concept Study.

BACKGROUND: Cigarette smoking is the leading preventable cause of disease and death in the United States. Despite the availability of a plethora of evidence-based smoking cessation resources, less than one-third of individuals who smoke seek cessation services, and individuals using these services are often those who are actively contemplating quitting smoking. There is a distinct dearth of low-cost, scalable interventions to support smokers not ready to quit (ambivalent smokers). Such interventions can assist in gradually promoting smoking behavior changes in this target population until motivation to quit arises, at which time they can be navigated to existing evidence-based smoking cessation interventions. Conversational agents or chatbots could provide cessation education and support to ambivalent smokers to build motivation and navigate them to evidence-based resources when ready to quit. OBJECTIVE: The goal of our study is to test the proof-of-concept of the development and preliminary feasibility and acceptability of a smoking cessation support chatbot. METHODS: We will accomplish our study aims in 2 phases. In phase 1, we will survey 300 ambivalent smokers to determine their preferences and priorities for a smoking cessation support chatbot. A "forced-choice experiment" will be administered to understand participants' preferred characteristics (attributes) of the proposed chatbot prototype. The data gathered will be used to program the prototype. In phase 2, we will invite 25 individuals who smoke to use the developed prototype. For this phase, participants will receive an overview of the chatbot and be encouraged to use the chatbot and engage and interact with the programmed attributes and components for a 2-week period. RESULTS: At the end of phase 1, we anticipate identifying key attributes that ambivalent smokers prefer in a smoking cessation support chatbot. At the end of phase 2, chatbot acceptability and feasibility will be assessed. The study was funded in June 2022, and data collection for both phases of the study is currently ongoing. We expect study results to be published by December 2023. CONCLUSIONS: Study results will yield a smoking behavior change chatbot prototype developed for ambivalent smokers that will be ready for efficacy testing in a larger study. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/44041.

Vaping and Sleep as Predictors of Adolescent Suicidality.

PURPOSE: To investigate sleep quantity as a moderator of vaping and self-reported suicidality among adolescents. DESIGN: Cross-sectional. Setting: United States high schools. SAMPLE: 10,520 high-school students with complete data on the primary outcome of suicide attempt in the past year (76.9% response rate). MEASURES: 2019 Youth Risk Behaviors Survey. ANALYSIS: Logistic regression to examine main effects and potential moderation. RESULTS: Students with under seven sleep hours on school nights (OR = 2.6; 95% CI = 2.1-3.3) and who vaped in the past month (OR = 3.0; 95% CI = 2.1-3.9) had higher odds of attempting suicide in the last year. Sleep quantity moderated the relationship between vaping and suicidal thoughts in the past year (P = .01) but did not moderate the relationship between vaping and a suicide plan (P = .15) or suicide attempts (P = .06). Specifically, vaping had a smaller effect on suicidal thoughts among students who slept under seven hours on school nights (OR = 1.8) compared to the descriptively larger effect among participants with more sleep (OR = 2.5). CONCLUSIONS: Students who vape or report low sleep quantity would be ideal participants in suicide prevention interventions as they may be at higher risk for suicidality. Organizations implementing sleep or vaping interventions should incorporate information regarding the higher odds of suicide among students with low sleep quantity or vaping habits.

Feasibility and Acceptability of a Telephone-Based Smoking Cessation Intervention for Qatari Residents.

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.

A framework for addressing health inequities in sexual and gender diverse populations by nurses.

There is a need to increase health equity in sexual and gender diverse (SGD) populations, a medically underserved group with widening health disparities. To better understand and address SGD health disparities, we have developed a multi-level conceptual framework for nurse scientists that incorporates the concepts of stigma, intersectionality, identify affirmation, and life course trajectory. Social determinants of health formed the background of our conceptual framework. Using this framework, we proposed recommendations to promote SGD health equity through nursing research, health care practice, health care education, and public health care policy. These recommendations align with the National Institute of Nursing Research's goals of dismantling structures that perpetuate racism and impede health inequity and the need to implement interventions that address social determinants of health. As a result, nurse scientists are poised to influence health care policy by translating effective interventions to reduce health disparities for the SGD population into practice.

Factors associated with baseline smoking self-efficacy among male Qatari residents enrolled in a quit smoking study.

Smoking self-efficacy, described as confidence in one's ability to abstain from smoking in high-risk situations is a key predictor in cessation outcomes; however, there is a dearth of research on factors that influence self-efficacy surrounding smoking behavior. This study examines factors associated with baseline self-efficacy among treatment seeking participants enrolled in a pilot feasibility smoking cessation study. Participants (n = 247) were daily male smokers, residents of Doha in Qatar (18-60 years) who were enrolled in a telephone-based smoking cessation study. Baseline assessments included self-efficacy, home smoking rules, socio-demographic variables, smoking history, and psychosocial characteristics. Factors associated with self-efficacy were assessed using multiple linear regression analysis. Results showed that after controlling for relevant variables, number of cigarettes smoked ([Formula: see text] = -0.22; 95% CI: -0.37, -0.06), having at least one quit attempt in the past year ([Formula: see text] = 2.30; 95% CI: 0.27, 4.35), and reporting a complete home smoking ban ([Formula: see text] = 3.13; 95% CI: 0.56, 5.70) were significantly associated with higher self-efficacy to quit smoking. These results provide data-driven indication of several key variables that can be targeted to increase smoking self-efficacy in this understudied population.

Medicaid-Insured Client Characteristics and Quit Outcomes at the Arizona Smokers' Helpline.

Medicaid-insured individuals who smoke experience disparities in quitting and are a priority population for assistance. This retrospective cohort study of Arizona Smokers' Helpline clients (Jan 2014-Mar 2019) examined the association between insurance status, treatment, and smoking cessation. When compared to clients with non-Medicaid insurance or no insurance, clients with Medicaid (26%) were more likely to be female, referred directly to the ASHLine by a healthcare or community partner, smoke in the home, and report having a mental health condition. They also were less likely to utilize cessation medication and reported receiving less social support to quit. Controlling for these and other theoretically relevant variables, insurance status was stratified (Medicaid, non-Medicaid, and uninsured), and quit outcomes were compared by level of treatment (4 treatment groups: more and less than 3 coaching sessions and cessation medication use yes/no). Compared to clients who received 3+ coaching sessions, those who had less than 3 coaching sessions had significantly lower adjusted odds of quitting. Results were similar regardless of cessation medication use or insurance status. There is no indication that treatment effects differ by insurance status. While insurance status appears to proxy for other important factors like low social and economic status and higher comorbidity prevalence, in a quitline setting, quitting is associated with additional, high-quality coaching. Where coaching sessions may offset social and economic barriers to quitting, quitlines may consider focusing on assisting Medicaid-insured clients to connect and engage with treatment.

A telephone-based guided imagery tobacco cessation intervention: results of a randomized feasibility trial.

BACKGROUND: Evidence supports the use of guided imagery for smoking cessation; however, scalable delivery methods are needed to make it a viable approach. Telephone-based tobacco quitlines are a standard of care, but reach is limited. Adding guided imagery to quitline services might increase reach by offering an alternative approach. PURPOSE: To develop and test the feasibility and potential impact of a guided imagery-based tobacco cessation intervention delivered using a quitline model. METHODS: Participants for this randomized feasibility trial were recruited statewide through a quitline or community-based methods. Participants were randomized to guided imagery Intervention Condition (IC) or active behavioral Control Condition (CC). After withdrawals, there were 105 participants (IC = 56; CC = 49). The IC consisted of six sessions in which participants created guided imagery audio files. The CC used a standard six-session behavioral protocol. Feasibility measures included recruitment rate, retention, and adherence to treatment. We also assessed 6-month quit rates and consumer satisfaction. RESULTS: Both the IC and CC protocols were feasible to deliver. We finalized protocols and materials for participants, coaches and study staff, and delivered the protocols with fidelity. We developed successful recruitment methods, and experienced high retention (6 months = 81.9%) and adherence (all sessions = 66.7%). Long-term quit rates (IC = 27.9%; CC = 38.1%) compared favorably to those of quitlines, and program satisfaction was high, suggesting that the protocols are acceptable to smokers and may contribute to smoking abstinence. CONCLUSIONS: The guided imagery intervention is feasible and promising, suggesting that a fully powered RCT to test the efficacy of the intervention is warranted. TRIAL REGISTRATION NUMBER: NCT02968381.

Feasibility and acceptability of testing a menstrual-cycle timed smoking cessation intervention for women of reproductive age (Project Phase): Protocol of a pilot randomized controlled trial.

BACKGROUND: Compared to men, women have unique barriers to smoking cessation and are less likely to utilize quitline services. While current clinical recommendations have called for sex/gender-specific smoking cessation protocols, quitlines have not been expanded protocols to address the unique needs of women. Menstrual cycles (and/or ovarian hormones) influence quit outcomes in women. This paper presents the study design and protocol for a randomized control trial (Project Phase) designed to test the feasibility and acceptability of utilizing menstrual cycle timing to improve quit outcomes in women of reproductive age. METHODS/DESIGN: Participants include treatment-seeking women (n = 116), between the ages of 18-40 with regular and naturally-occurring menstrual cycles. Eligible participants are randomized to either the mid-Follicular Phase (FP) or Standard Care (SC-control) group. Counseling includes six weekly telephone sessions with four weeks of nicotine replacement therapy. The timing and frequency of sessions is identical to both conditions, with the exception of the quit day (week 3 of counseling). In addition to providing education on menstrual cycle and quitting, quit day for FP participants is set within 6-8 days post onset of menses; the SC group quit day is set for Week 3 of counseling regardless of their menstrual cycle phase. Dried blood spots will be used to bioverify menstrual cycle phase and smoking status. DISCUSSION: If feasible and acceptable, our behavioral counseling intervention that times the quit day to the mid-follicular phase of the menstrual may increase quit outcomes among women of reproductive age and has potential for dissemination across quitlines nationally.

Predictors of Tobacco Cessation Among American Indian/Alaska Native Adults Enrolled in a State Quitline.

Background: High rates of smoking are documented among some American Indian and Alaska Native (AI/AN) communities, with potential variability by region and urban/rural settings. Quitlines are a cost-effective strategy for providing evidence-based cessation treatment, but little is known about the effectiveness of quitline services for the AI/AN population. Objectives: This study compared demographic characteristics, tobacco use, and cessation and program utilization behaviors between AI/AN (n = 297) and Non-Hispanic White (NHW; n = 13,497) quitline callers. The study also identified predictors of 30-day cessation at 7-month follow-up among AI/AN callers and determined if predictors were different between AI/AN and NHW callers. Methods: Data from callers to the Arizona Smokers' Helpline between January 2011 and June 2016 were analyzed. Results: At enrollment, AI/AN callers were less likely to use tobacco daily and were less dependent on nicotine compared to NHW callers. Both groups reported similar rates of 30-day cessation at 7-month follow-up (37.3% and 39.7% for AI/AN and NHW callers, respectively). For AI/AN callers, 30-day cessation was significantly associated with tobacco cessation medication use (OR = 2.24, 95% CI: 1.02-4.93), number of coaching sessions (OR = 1.14, 95% CI: 1.04-1.26), and other smokers in the home (OR = 0.41, 95% CI: 0.19-0.91). The effect of other smokers in the home was significantly different between AI/AN and NHW callers (p = .007). Conclusions: Different individual characteristics and predictors of cessation among AI/AN callers compared to NHW callers were documented. Findings may be used to inform the development of culturally-tailored strategies and protocols for AI/AN quitline callers.

Long-term Results From the FRESH RCT: Sustained Reduction of Children's Tobacco Smoke Exposure.

INTRODUCTION: Standard care interventions to reduce children's tobacco smoke exposure (TSE) may not be sufficient to promote behavior change in underserved populations. A previous study demonstrated the short-term efficacy of an experimental counseling intervention, Family Rules for Establishing Smokefree Homes (FRESH) compared with standard care on boosting low-income children's TSE reduction and maternal smoking at 16-week end of treatment (EOT). This study tested long-term posttreatment efficacy of this treatment through a 12-month follow-up. STUDY DESIGN: This study was a two-arm RCT. SETTING/PARTICIPANTS: Maternal smokers (n=300) not seeking cessation treatment were recruited from low-income, urban communities. Participants exposed their <4-year-old children to tobacco smoke daily. Data collection and analyses occurred from 2006 to 2018. INTERVENTION: The FRESH behavioral intervention included 2 home visits and 7 phone sessions. FRESH used cognitive behavioral skills training, support, problem-solving, and positive social reinforcement to facilitate the adoption of increasingly challenging TSE-protection behaviors. No nicotine-replacement therapy or medication was provided. MAIN OUTCOME MEASURES: Primary outcomes were child cotinine (TSE biomarker) and reported TSE from EOT through 12 months after treatment. A secondary outcome was bioverified maternal smoking cessation. RESULTS: Compared with controls, children in FRESH had significantly lower cotinine (ß= -0.31, p<0.01) and lower maternal-reported TSE (ß= -1.48, p=0.001) through the 12-month follow-up. A significant effect of time (ß= -0.03, p=0.003) reflected a posttreatment decrease in cotinine. There was no treatment × time interaction, suggesting the treatment effect at EOT was sustained after treatment. Compared with controls, FRESH mothers maintained significantly higher odds of quitting smoking from EOT through 12-month follow-up (OR=8.87, 95% CI=2.33, 33.75). CONCLUSIONS: Study results with a sample of underserved maternal smokers demonstrated that the short-term effect of FRESH counseling at 16-week EOT was maintained through 12 months after treatment-for both bioverified child TSE reduction and maternal smoking cessation. Smokers in low-income communities demonstrate elevated challenges to success in standard smoking treatment. FRESH follow-up results suggest the high potential value of more-intensive behavioral intervention for vulnerable smokers. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.gov NCT02117947.

Testing the feasibility of a guided imagery tobacco cessation intervention delivered by a telephone quitline: Study protocol for a randomized controlled feasibility trial.

BACKGROUND: Guided imagery (GI) is an evidence-based method that uses the imagination to practice and achieve a desired outcome. Little research has focused on how GI can be delivered to smokers using remote or virtual methods, such as a telephone-based intervention. Telephone-based services for tobacco cessation (quitlines) have emerged as standard of care for tobacco cessation. However, quitlines reach only a small fraction of smokers, and men and racial/ethnic minorities are less likely to use quitlines than majority women. GI has the potential to attract under-served minority groups as well as smokers who are looking for an alternative approach to cessation. The present study is designed to test the feasibility and potential impact of a GI tobacco cessation intervention delivered by telephone. This study compares the GI intervention with a standard behavioral (SB) intervention. METHODS: Participants (N = 100) are randomized to either the GI (intervention) or SB (control) condition. Each condition features a 6-week intervention in which participants work with coaches to quit tobacco. Primary outcomes are feasibility related (recruitment, retention, adherence), and secondary outcomes include cessation at 6 months post-intervention (7-day and 30-day abstinence). DISCUSSION: A GI intervention delivered via quitline would allow for scalability and dissemination, potentially reaching a more representative group of smokers. Results from this study will determine the feasibility of delivering the GI intervention, and describe the reach of the intervention to under-represented tobacco users. If successful, our study results will guide the design and conduct of a future efficacy trial.

Quitline program utilization and cessation outcomes: A comparison of provider-referred clients by healthcare settings.

US Public Health Service guidelines recommend that healthcare providers assess patients for tobacco use and refer tobacco users to cessation services (e.g., quitlines). However, once referred, little is known on how program outcomes for referred tobacco users vary across healthcare settings. To examine differences in program enrollment, dropout at follow-up, utilization (number of coaching sessions and nicotine replacement therapy use), and quit outcomes among tobacco users referred across settings to a state quitline. In a retrospective analysis of clients referred to the quitline (January 2011-June 2016), referrals were categorized into six settings: general medical practice (reference group), acute care hospitals, behavioral health, federally qualified health centers (FQHCs), county health departments, and specialty clinics. Outcome variables included enrollment, dropout, program utilization, and 30-day tobacco abstinence at 7-month follow-up. Compared to medical practices, clients referred from behavioral health were less likely to enroll in services (OR = 0.81, 95%CI: 0.76, 0.87), less likely to report using NRT in-program (OR = 0.51, 95%CI: 0.42, 0.62), and along with clients referred from FQHCs (OR = 0.78, 95%CI: 0.64, 0.94) were less likely to be quit at follow-up (OR = 0.73, 95%CI: 0.59, 0.92). Clients referred from acute care hospitals were less likely to enroll in services (OR = 0.60, 95%CI: 0.56, 0.64) and were more likely to drop-out of cessation services (OR = 1.12; 95%CI: 1.00-1.26). Findings reflect the need for better tailoring of messages for tobacco assessment within specific healthcare settings while bolstering behavioral counseling that quitlines provide to increase enrollment, engagement, and retention in tobacco cessation services.

Impact of changes in home smoking bans on tobacco cessation among quitline callers.

Home smoking bans may be an effective way to promote tobacco cessation among treatment seeking smokers. Few studies have examined this relationship in a quitline setting. Data were obtained from 14,296 adults who were enrolled in a state quitline between January 2011 and July 2016. This study investigated whether cessation rates varied by changes in home smoking ban implementation between enrollment and 7-month follow-up. The impact of changes in home smoking bans on cessation at follow-up was significantly modified by having other smokers living in the home at follow-up (P < 0.0001). Among callers who did not live with other smokers in the home, the highest odds ratio of 30-day cessation was for callers who reported bans at follow-up only (OR = 10.50, 95%CI: 8.00, 13.70), followed by callers who reported bans at both enrollment and follow-up (OR = 8.02, 95%CI: 6.27, 10.30) and callers who reported bans at enrollment only (OR = 2.06, 95% CI: 1.47, 2.89) compared with callers with no home smoking bans. When callers reported that they lived with other smokers in the home, the effect of home smoking bans on cessation was much smaller. Quitlines should support the implementation of home smoking bans as a part of callers' goal setting activities to achieve tobacco cessation.

Baseline sleep quality is a significant predictor of quit-day smoking self-efficacy among low-income treatment-seeking smokers.

Compared to non-smokers, smokers have an increased risk for poor sleep quality, which could undermine confidence to quit. This study examined whether baseline sleep quality was associated with quit-day smoking self-efficacy among smokers enrolled in a smoking cessation trial. Treatment-seeking low-income smokers were randomized to either a low-intensity physical activity integrated with standard smoking cessation intervention or standard care cessation only. Poor sleep quality was significantly associated with lower quit-day (week 4) smoking self-efficacy (ß = -0.61; standard error = 8.1; p = .03). Over half the samples (53%) reported poor sleep quality, thus addressing baseline sleep quality is an important consideration in smoking cessation programs.

Increasing Home Smoking Restrictions Boosts Underserved Moms' Bioverified Quit Success.

Objectives: Standard smoking cessation treatments remain relatively ineffective in vulnerable populations. This study tested whether efforts to restrict residential smoking mediated the counseling treatment - smoking cessation association in a child tobacco smoke exposure (TSE) reduction trial. Methods: Maternal smokers (N = 300) with young children from low-income minority communities were randomized to counseling or standard care control to promote child TSE reduction. Secondary mediation analyses controlled for factors associated with smoking cessation. Results: Counseling group mothers were more likely than controls to increase home smoking restrictions (OR = 1.9, 95% CI 1.1-3.4) and quit smoking (OR = 11.0, 95% CI 6.3-19.2). As hypothesized, increasing home smoking restrictions improved likelihood of bioverified quit status at end of treatment (OR = 2.5, 95% CI 1.1-5.9) and partially mediated the association between counseling intervention and quit status. Conclusions: Results suggest that among maternal smokers known to experience increased challenges to quitting smoking, encouraging efforts to protect children from TSE by increasing home smoking restrictions may be an important counseling intervention element that facilitates smoking cessation.

Electronic Cigarette Policy Recommendations: A Scoping Review.

Objective: There is a lack of consensus on whether e-cigarettes facilitate or threaten existing tobacco prevention strategies. This uncertainty is reflected in organizations' conflicting e-cigarette position statements. We conducted a scoping review of position statements in published and gray literature to map the range and frequency of e-cigarette use recommendations. Methods: We collected 81 statements from international health organizations. Two coders independently performed qualitative content analysis to categorize e-cigarette recommendations. We explored differences based on organization type, geography, and the year recommendations were published. Results: We identified 5 recommendation types: encourage smokers to use ecigarettes as a cessation aid or as an alternative source of nicotine (N = 5); support individuals who use e-cigarettes to quit smoking (N = 20); avoid using until more research is available (N = 19); restrict access based on available evidence (N = 30); and prohibit e-cigarette marketing and sale (N = 7). Conclusion: Organizations presented diverse e-cigarette use recommendations. The variation related to organizations' differing tobacco prevention priorities and level of confidence in current e-cigarette research. These differences may create confusion. Additional research can examine whether this variability influences stakeholders' attitudes or behavior.

Higher quality quit-date goal setting enhances quit attempts among quitline callers.

INTRODUCTION: At tobacco quitlines, coaching and cessation medications are commonly structured around setting a date for making a quit attempt. However, limited literature evaluating this practice suggests that callers do not routinely set quit-date goals. High quality goal setting may increase the frequency of caller quit attempts. In this study, we examine the quality of quit-date goal setting and its association with in-program quit attempts and the timing of callers' first quit attempt. METHODS: Using call recordings, we scored the quality of quit-date goal setting among 90 callers enrolled at Arizona Smokers' Helpline between August and December 2017. The primary exposure was quality of quit-date goal setting assessed using the Lorencatto et al. rating scale. Coding reliability was assessed using Cohen's kappa. Multivariable logistic regression was used to examine the association between quality of goal setting and in-program quit attempts (>24 h tobacco free). RESULTS: The mean quality goal setting score was 3.1 (range: -3 to 7). Sixty-nine callers (77%) set a quit date and 39 (43%) made a quit attempt. Compared to callers who experienced low-quality goal setting, the adjusted odds of in-program quitting for high quality goal setting was AOR=3.98 (95% CI: 1.55-10.20) and for making a quit attempt within two weeks OR=6.23 (95% CI: 1.52-25.49). CONCLUSIONS: Quit-date goal setting is an important element of quitline services and callers benefit from high quality quit-date goal setting. Quitlines should establish quality improvement measures to ensure that coaches are trained to provide high quality quit-date goal setting opportunities to all callers.

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.

Quit outcomes among clients ineligible for cessation medication through the state quitline: a retrospective, observational study.

BACKGROUND: Distribution of tobacco cessation medications through state quitlines increases service utilization and quit outcomes. However, some state quitlines have moved to models in which callers are instructed to obtain quit medications through their health insurance pharmaceutical benefit. We aimed to investigate the impact of this policy on medication access and quit outcomes in the state quitline setting for clients who must obtain covered medications through the state Medicaid program. We hypothesized that clients with Medicaid who were referred by their healthcare provider would be more likely to report using quit medication and have higher quit rates compared to clients with Medicaid who engaged the quitline on their own. METHODS: An observational, retrospective study was conducted using state quitline clients with Medicaid health insurance who were ineligible for quitline provided cessation medications. Clients were stratified by referral type: self-referred, passively referred, and proactively referred. Unadjusted and adjusted logistic regression was used to estimate the effect of referral type on both quit status and cessation medication use. RESULTS: Proactively referred clients were less likely to use quit medication (53.6%) compared to self (56.9%) and passively referred clients (61.1%). Proactively referred clients had lower quit rates (31.4%), as compared to passively referred (36.0%) and self-referred (35.1%). In adjusted models, proactively referred clients were significantly less likely to be quit than passively referred clients (OR = 0.75, 95% CI: 0.56, 0.99). There were no statistically significant differences in medication use or number of coaching sessions among proactive, passive, and self-referred clients in adjusted models. CONCLUSIONS: In adjusted models, medication use did not significantly differ by mode of entry in this population of Medicaid beneficiaries. Psychosocial factors such as intention to quit in the next 30 days, social support for quitting, education level, race, and ethnicity impacted quit status and differed by mode of entry. Quitlines should use tailored strategies to increase engagement and reduce barriers among proactively referred clients.