Associations Between Comorbid Health Conditions and Quit Outcomes Among Smokers Enrolled in a State Quitline, Arizona, 2011-2016

Exploring the relationship between vitamin D deficiency and comorbid heart disease in Americans with mood disorders: a cross-sectional nationwide study

Objective

This study aimed to explore the relationship between vitamin D deficiency and comorbid heart disease in adult inpatients with mood disorders (depressive and bipolar disorders).

Methods

A cross-sectional investigation was carried out employing the nationwide inpatient dataset, which encompassed 910,561 adult inpatients aged 18 to 50 years diagnosed with depressive and bipolar disorders. Additionally, the sample was categorized based on the presence of comorbid heart disease. We utilized a logistic regression model to assess the odds ratio (OR), pertaining to demographic features and coexisting medical conditions in relation to comorbid heart disease.

Results

Comorbid heart disease was present in 1.3% of inpatients with mood disorders; they were middle-aged (mean age 42.7 years) men and White individuals. Inpatients with depressive disorder had a higher risk of comorbid heart disease (OR 1.19, 95% CI 1.15-1.24) compared to those with bipolar disorders. Inpatients with comorbid heart disease had a higher prevalence of medical and psychiatric comorbidities. The prevalence of vitamin D deficiency was 2.3% in mood disorders but higher in those with comorbid heart disease (2.9%). Vitamin D deficiency showed a notable correlation with comorbid heart disease, resulting in a 26% increased risk in the unadjusted regression model (OR 1.26, 95% CI 1.13-1.40). However, after accounting for potential confounding factors, including comorbidities, the risk did not exhibit statistical significance (OR 1.08, 95% CI 0.97-1.21). Among psychiatric comorbidities, trauma-related (OR 1.22, 95% CI 1.17-1.28) and tobacco-related (OR 1.31, 95% CI 1.26-1.37) disorders had a higher risk of association with comorbid heart disease.

Conclusion

Middle-aged men with depressive disorders and from low-income families had a higher risk of developing comorbid heart disease. Trauma-related and tobacco-related disorders were associated with an increased risk by 20-30% for comorbid heart disease in inpatients with mood disorders. Vitamin D deficiency was not associated with the risk of comorbid heart disease after controlling demographics and comorbid cardiovascular risk factors.

Prevalence and Correlates of Cardiovascular, Pulmonary, Cancer, and Mental Health Comorbidities Among Adults With HIV Who Smoke

ABSTRACT

Using data from the D.C. Cohort Longitudinal HIV Study, we examined (a) diagnosed mental health and (b) cardiovascular, pulmonary, or cancer (CPC) comorbidity among adults with HIV who smoked. Among 8,581 adults, 4,273 (50%) smoked; 49% of smokers had mental health, and 13% of smokers had a CPC comorbidity. Among smokers, non-Hispanic Black participants had a lower risk for mental health (prevalence ratio [PR]: 0.69; 95% confidence interval [CI] [0.62-0.76]) but a higher risk for CPC (PR: 1.17; 95% CI [0.84-1.62]) comorbidity. Male participants had a lower risk for mental health (PR: 0.88; 95% CI [0.81-0.94]) and CPC (PR: 0.68; 95% CI [0.57-0.81]) comorbidity. All metrics of socioeconomic status were associated with a mental health comorbidity, but only housing status was associated with a CPC comorbidity. We did not find any association with substance use. Gender, socioeconomic factors, and race/ethnicity should inform clinical care and the development of smoking cessation strategies for this population.

Unique cessation tools in the box: Quitline utilization and effectiveness trends among a large sample of tobacco users reporting mental health disorders

It is estimated that the prevalence of smoking among adults with MHDs ranges between 40-60%, as compared to about 17% among those without an MHD. In addition, smokers with MHDs smoke more cigarettes, are more nicotine dependent, and experience more difficulty quitting, compared to other smokers. The uniquely high smoking prevalence among the MHD population is a serious public health concern; unfortunately, a majority of individuals experiencing difficulty receive no treatment. The US Public Health Service guidelines, as well as the National Cancer Institute, strongly recommend quitlines as an evidence-based treatment strategy to reduce barriers to cessation treatment, especially among smokers with MHDs; however, the literature is sparse on quitline engagement trends and associated outcomes for quitline participants with MHDs. This study sought to contribute to this gap with the largest sample to-date of MHD-endorsing tobacco quitline (Oklahoma Tobacco Helpline, OTH) participants. From 2015 to 2020, ~65,000 registrants (45-50% of total registered participants) with the OTH identified as having one or more MHDs in addition to their tobacco use. This study tested for the presence of significant differences between groups with and without MHDs (as well as within the MHD-identified group) on program enrollment selections, the intensity of engagement with chosen services, NRT utilization, and quit rates. It also tested for the existence of differences and moderating effects of demographic variables associated with the comparison groups. Statistically significant differences were found between these two groups with regard to: sex, age, racial identity, education level, annual income and insurance status. Significant differences were also found with tobacco use patterns reported by individuals (e.g., timing and daily use amounts). Differences in quitline program selection were demonstrated, such that the MHD-endorsing sample were more likely to participate and agree to the most robust service available. Significantly higher rates of service intensity (number of services engaged) were demonstrated, and MHD individuals were also significantly more likely to receive NRT as a part of their treatment. This study suggests a simplistic "more is better" quitline services approach may suffer in effectiveness because it neglects barriers common to this population. Important information is provided on these unique variables associated with MHD-endorsing individuals trying to quit their tobacco use. These results can help tobacco quitlines conceptualize the unique difficulties experienced by individuals with MHDs and then tailor their approach to respond supportively and constructively to this high need group.

Effect of COVID-19 on smoking cessation outcomes in a large primary care treatment programme: an observational study

OBJECTIVES

The COVID-19 pandemic has changed patterns of smoking, other substance use and other health-related behaviours, leading to a virtualisation of non-urgent medical care. In this study, we examine associated changes in outcomes of smoking-cessation treatment.

DESIGN

Observational study.

SETTING

Data are drawn from 221 physician-led primary care practices participating in a smoking cessation program in Ontario, Canada.

PARTICIPANTS

43 509 patients (53% female), comprising 35 385 historical controls, 6109 people enrolled before the pandemic and followed up during it, and 1815 people enrolled after the pandemic began.

INTERVENTION

Nicotine-replacement therapy with counselling.

PRIMARY OUTCOME MEASURE

7-day self-reported abstinence from cigarettes at a follow-up survey 6 months after entry.

RESULTS

For people followed up in the 6 months (6M) after the pandemic began, quit probability declined with date of enrolment. Predicted probabilities were 31.2% (95% CI 30.0% to 32.5%) for people enrolled in smoking cessation treatment 6 months prior to the emergency declaration and followed up immediately after the state of emergency was declared, and 24.1% (95% CI 22.1% to 26.2%) for those enrolled in treatment immediately before the emergency declaration and followed up 6M later (difference=-6.5%, 95% CI -9.0% to -3.9%). Seasonality and total treatment use did not explain this decline.

CONCLUSION

The probability of successful smoking cessation following treatment fell during the pandemic, with the decline consistent with an effect of 'exposure' to the pandemic-era environment. As many changes happened simultaneously, specific causes cannot be identified; however, the possibility that virtual care has been less effective than in-person treatment should be explored.

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.

Quitline Programs Tailored for Mental Health: Initial Outcomes and Feasibility

INTRODUCTION

The general efficacy of quitlines has been widely demonstrated, but uncertainty exists regarding how quitlines might best intervene for persons with mental health conditions. A total of 1 in 5 people in the U.S. has a diagnosable psychiatric disorder. These individuals smoke at 2‒4 times the rate of smoking among those without a mental health condition and face high rates of related death and disability. About half of quitline callers self-report a mental health condition, but until recently, quitline protocols tailored to these smokers did not exist.

METHODS

This paper provides initial results for tailored mental health programs from the largest quitline providers in the U.S., Optum and National Jewish Health. From 2017 to 2018, cohorts of callers with a mental health condition who enrolled in tailored programs were compared with cohorts with a mental health condition who received standard care. Both mental health programs offered participants additional calls, longer duration of combination nicotine-replacement therapy, and attention to mental health issues. Analyses were conducted in 2018-2019.

RESULTS

Findings suggest that callers with a mental health condition benefit from both standard care and tailored mental health services. Tailored programming did well in engaging people with mental health conditions. At the same time, there were no significant differences in abstinence rates when comparing mental health programs with standard care. Mental health cohorts did receive significantly greater service durations, more counseling calls, and longer nicotine-replacement therapy duration.

CONCLUSIONS

Tailored mental health quitline programs present a promising framework for testing the services that address psychiatric symptoms as well as other frequent population characteristics such as chronic illness. Implications for increasing reach to the often underserved population with a mental health condition are discussed.

Effectiveness of Proactive Tobacco Cessation Treatment Outreach Among Smokers With Serious Mental Illness

INTRODUCTION

People with serious mental illness (SMI) have a high smoking prevalence and low quit rates. Few cessation treatments are tested in smokers with SMI. Mental health (MH) providers are reluctant to address smoking. Proactive tobacco cessation treatment strategies reach out directly to smokers to offer counseling and medication and improve treatment utilization and quit rates. The current study is a secondary analysis of a randomized controlled trial of proactive outreach for tobacco cessation treatment in VA MH patients.

AIMS AND METHODS

Participants (N = 1938, 83% male, mean age 55.7) across four recruitment sites, who were current smokers and had a MH visit in the past 12 months, were identified using the electronic medical record. Participants were randomized to Intervention (telephone outreach call plus invitation to engage in MH tailored telephone counseling and assistance obtaining nicotine replacement therapy) or Control (usual care). The current study assessed outcomes in participants with SMI (N = 982).

RESULTS

Compared to the Control group, participants assigned to the Intervention group were more likely to engage in telephone counseling (22% vs. 3%) and use nicotine replacement therapy (51% vs. 41%). Participants in the Intervention group were more likely to be abstinent (7-day point prevalence; 18%) at 12 months than participants in the Control group (11%) but equally likely to make quit attempts.

CONCLUSIONS

Proactive tobacco cessation treatment is an effective strategy for tobacco users with SMI. Proactive outreach had a particularly strong effect on counseling utilization. Future randomized clinical trials examining proactive tobacco treatment approaches in SMI treatment settings are needed.

IMPLICATIONS

Few effective treatment models exist for smokers with SMI. Proactive tobacco cessation outreach with connections to MH tailored telephone counseling and medication promotes tobacco abstinence among smokers with SMI and is an effective treatment strategy for this underserved population.

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 client retention in a state-based tobacco quitline

Introduction

Quitlines are standard care for smoking cessation; however, retaining clients in services is a problem. Little is known about factors that may predict dropout.

Aims

To examine predictors of retention while in-program and at follow-up for clients enrolling in a state quitline.

Methods

This was a retrospective analysis of quitline enrolled clients from 2011 to 2017 (N = 49,347). Client retention in-program was categorized as (a) low adherence to treatment (receiving zero coaching calls), moderate (1–2 calls), and high adherence (3+ calls). Dropout at follow-up included participants who were not reached for the 7-month follow-up.

Results

More than half the sample dropped out during treatment; 61% were not reached for follow-up. Women (odds ratio (OR) = 1.21; 95% confidence interval (CI) = [1.16, 127]) and those with high levels of nicotine dependence (OR = 1.03; 95% CI = [1.02, 1.04]) were more likely to have moderate adherence to treatment (1–2 coaching calls). Dropout at follow-up was more likely among clients who used nicotine replacement therapy (OR = 1.14; 95% CI = [1.09, 1.19]) and less likely among those who had high treatment adherence (OR = 0.41; 95% CI = [0.39, 0.42]).

Conclusion

Given the relapsing nature of tobacco use and the harms related to tobacco use, quitlines can improve their impact by offering tailored services to enhance client engagement and retention in-treatment and at follow-up.

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.

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.

Assessment of Self-Management Treatment Needs Among COPD Helpline Callers

Telephone quitlines are an effective population-based strategy for smoking cessation, particularly among individuals with tobacco-related diseases such as chronic obstructive pulmonary disease (COPD). Expanding quitline services to provide COPD-focused self-management interventions is potentially beneficial; however, data are needed to identify specific treatment needs in this population. We conducted a telephone-based survey (N = 5,772) to examine educational needs, behavioral health characteristics, and disease-related interference among individuals with COPD who received services from the American Lung Association (ALA) Lung Helpline. Most participants (73.7%) were interested in COPD-focused information, and few had received prior instruction in breathing exercises (33.9%), energy conservation (26.5%), or airway clearing (32.1%). About one-third of participants engaged in regular exercise, 16.3% followed a special diet, and 81.4% were current smokers. Most participants (78.2%) reported COPD-related interference in daily activities and 30.8% had been hospitalized within the past six months for their breathing. Nearly half of participants (45.4%) reported current symptoms of anxiety or depression. Those with vs. without anxiety/depression had higher rates of COPD-related interference (83.9% vs. 73.5%, p < .001) and past six-month hospitalization (33.4% vs. 28.3%, p < .001). In conclusion, this survey identified strong interest in disease-focused education; a lack of prior instruction in specific self-management strategies for COPD; and behavioral health needs in the areas of exercise, diet, and smoking cessation. Anxiety and depression symptoms were common and associated with greater disease burden, underscoring the importance of addressing coping with negative emotions. Implications for self-management treatments that target multiple behavioral needs of COPD patients are discussed.

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.

Response to reduced nicotine content cigarettes among smokers with chronic health conditions

Individuals with chronic health conditions persist in smoking despite the presence of smoking-related illness. The aim of this study was to examine whether chronic health conditions moderate response to reduced nicotine content cigarettes (0.4, 2.4, 5.2, 15.8 mg/g of tobacco). This is a secondary analysis of a controlled clinical laboratory study that examined the acute effects of cigarettes varying in nicotine content among individuals especially vulnerable to smoking and tobacco dependence. Participants in the present study were categorized as having 0, 1–2, or ≥3 smoking-related chronic health conditions (i.e., chronic condition severity, CCS). Repeated-measures analysis of variance was used to examine whether CCS moderated response to cigarettes across measures of addiction potential (i.e., concurrent choice testing between nicotine dose pairs, Cigarette Purchase Task (CPT) performance, positive subjective effects), tobacco withdrawal, cigarette craving, and smoking topography. No main effects of CCS or interactions of CCS and nicotine dose were observed for concurrent choice testing, positive subjective effects, tobacco withdrawal, or smoking topography. Main effects of CCS were noted on the CPT with greater CCS being associated with less persistent demand. There was an interaction of CCS and nicotine dose on Factor 1 of the Questionnaire on Smoking Urges with the effects of dose significant only among those with 1–2 chronic conditions. Overall, we see minimal evidence that chronic condition severity affects response to reduced nicotine content cigarettes. A policy that reduces the nicotine content of cigarettes to minimally addictive levels may benefit smokers already experiencing smoking-related chronic conditions.

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.