Helping low-income smokers quit: findings from a randomized controlled trial comparing specialized quitline services with and without social needs navigation.

Background: Quitting smoking is especially challenging for low-income smokers due to high stress, high smoking prevalence around them, and limited support for quitting. This study aimed to determine whether any of three interventions designed specifically for low-income smokers would be more effective than standard tobacco quitline services: a specialized quitline, the specialized quitline with social needs navigation, or the standard quitline with social needs navigation. Methods: Using a randomized 2 × 2 factorial design, low-income daily cigarette smokers (n = 1944) in Missouri, USA who called a helpline seeking assistance with food, rent or other social needs were assigned to receive Standard Quitline alone (n = 485), Standard Quitline + Social Needs Navigation (n = 484), Specialized Quitline alone (n = 485), or Specialized Quitline + Social Needs Navigation (n = 490). The target sample size was 2000, 500 per group. The main outcome was 7-day self-reported point prevalence abstinence at 6-month follow-up. Multiple imputation was used to impute outcomes for those missing data at 6-month follow-up. Binary logistic regression analyses were used to assess differences between study groups. Findings: Participants were recruited from June 2017 to November 2020; most were African American (1111 [58%]) or White (666 [35%]), female (1396 [72%]), and reported <$10,000 (957 [51%]) or <$20,000 (1529 [82%]) annual pre-tax household income. At 6-month follow-up (58% retention), 101 participants in the Standard Quitline group reported 7-day point prevalence abstinence (20.8% of those assigned at baseline, 38.1% after imputation). Quit rates in the Specialized Quitline (90 quitters, 18.6%, 38.1%) and Specialized Quitline + Social Needs Navigation (103 quitters, 21.0%, 39.8%) were not different from the Standard Quitline. Quit rates for Standard Quitline + Social Needs Navigation (74 quitters, 15.3%, 30.1%) were significantly lower than Standard Quitline (OR = 0.70, 95% CI = 0.50-0.98). Interpretation: A specialized version of a state tobacco quitline was no more effective than standard quitline services in helping low-income smokers quit. Adding social needs navigation to a standard quitline decreased its effectiveness. Trial registration: ClinicalTrials.gov Identifier: NCT03194958. Funding: National Cancer Institute: R01CA201429.

Expanding population-level interventions to help more low-income smokers quit: Study protocol for a randomized controlled trial.

BACKGROUND: Low-income Americans have higher rates of smoking and a greater burden of smoking-related disease. In the United States, smokers in every state can access evidence-based telephone counseling through free tobacco quitlines. However, quitlines target smokers who are ready to quit in the next 30 days, which can exclude many low-income smokers. A smoke-free homes intervention may help engage smokers in tobacco control services who are not yet ready to quit. Previous research in low-income populations suggests that receiving a smoke-free homes intervention is associated with higher quit rates. This study tests whether, at a population level, expanding on quitlines to include a smoke-free homes intervention for smokers not ready to quit could engage more low-income smokers and increase long-term cessation rates. METHODS: In a Hybrid Type 2 design, participants are recruited from 211 helplines in 9 states and randomly assigned to standard quitline or quitline plus smoke-free homes intervention arms. Participants in both arms are initially offered quitline services. In the quitline plus smoke-free homes condition, participants who decline the quitline are then offered a smoke-free homes intervention. Participants complete a baseline and follow-up surveys at 3 and 6 months. Those who have not yet quit at the 3-month follow-up are re-offered the interventions, which differ by study arm. The primary study outcome is self-reported 7-day point prevalence abstinence from smoking at 6-month follow-up. CONCLUSION: This real-world cessation trial involving 9 state tobacco quitlines will help inform whether offering smoke-free homes as an alternative intervention could engage more low-income smokers with evidence-based interventions and increase overall cessation rates. This study has been registered at ClinicalTrials.gov (Study Identifier: NCT04311983).

Appeal of Tobacco Quitline Services Among Low-Income Smokers.

INTRODUCTION: State tobacco quitlines are delivering cessation assistance through an increasingly diverse range of channels. However, offerings vary from state to state, many smokers are unaware of what is available, and it is not yet clear how much demand exists for different types of assistance. In particular, the demand for online and digital cessation interventions among low-income smokers, who bear a disproportionate burden of tobacco-related disease, is not well understood. METHODS: We examined interest in using 13 tobacco quitline services in a racially diverse sample of 1,605 low-income smokers in 9 states who had called a 2-1-1 helpline and participated in an ongoing intervention trial from June 2020 through September 2022. We classified services as standard (used by ≥90% of state quitlines [eg, calls from a quit coach, nicotine replacement therapy, printed cessation booklets]) or nonstandard (mobile app, personalized web, personalized text, online chat with quit coach). RESULTS: Interest in nonstandard services was high. Half or more of the sample reported being very or somewhat interested in a mobile app (65%), a personalized web program (59%), or chatting online with quit coaches (49%) to help them quit. In multivariable regression analyses, younger smokers were more interested than older smokers in digital and online cessation services, as were women and smokers with greater nicotine dependence. CONCLUSION: On average, participants were very interested in at least 3 different cessation services, suggesting that bundled or combination interventions might be designed to appeal to different groups of low-income smokers. Findings provide some initial hints about potential subgroups and the services they might use in a rapidly changing landscape of behavioral interventions for smoking cessation.

Leveling the Playing Field: Mailing Pharmacotherapy to Medicaid Members Who Smoke.

INTRODUCTION: Smoking rates differ by insurance type; rates are often double for Medicaid and uninsured compared with that for Medicare or privately insured. State-funded tobacco quitlines' provision of free nicotine replacement therapy varies. In some states, Medicaid beneficiaries must obtain nicotine replacement therapy from a physician, whereas others get nicotine replacement therapy mailed to them. METHODS: This secondary analysis examined the differences in the source and use of cessation treatment by insurance type and their impacts on cessation. The parent trial excluded people who were pregnant, had private insurance, or were not ready to quit. From June 1, 2017 to November 15, 2020, a total of 1,944 low-income people who smoke daily completed a baseline survey and were enrolled in a quitline program; 1,380 (71%) completed a 3-month follow-up. Analyses were completed in August 2022. Participants were classified as Medicaid/dual (55%), Medicare/Veterans Affairs (14%), or uninsured (31%). Nine months into the trial, owing to a system error, the quitline provided nicotine replacement therapy to all study participants regardless of insurance type. RESULTS: Before error versus after error, Medicaid participants reported lower nicotine replacement therapy receipt (3.2% vs 50.8%) and use (32.4% vs 52.6%). The odds of quitting (7-day point prevalence) by 3 months increased for people who smoke who completed more quitline calls and used any (36% quit) versus used no (20% quit) pharmacotherapy, but quitting did not differ by insurance classifications (27%-29%). Getting and using nicotine replacement therapy from the quitline produced the highest quit rates (38%). CONCLUSIONS: Results illustrate the benefit of receiving nicotine replacement therapy from the quitline on cessation. Mailing nicotine replacement therapy to all people who smoke should be standard practice to reduce smoking disparities.

Transportation and other social needs as markers of mental health conditions.

Objective: The study sought to determine whether reporting a history of depression, anxiety, PTSD, bipolar disorder, drug or alcohol use disorder, ADHD, schizophrenia, or current depressive symptoms was associated with requesting help for any of 12 social needs. Methods: A community-based sample of 1,944 low-income adult smokers in Missouri who had called a telephone helpline for social needs were recruited between June 1, 2017 and November 15, 2020. Helpline data on callers' requests for assistance with utilities, housing, food, household goods, healthcare, transportation, adult care, financial assistance, employment, legal assistance, personal safety and childcare were merged with self-reported mental health data collected in a subsequent phone survey with the same callers. Using binary logistic regression, we examined which mental health conditions were associated with each social need. Results: Reporting mental health conditions were associated with greater odds of requests for assistance with transportation, food, healthcare and personal safety. Of these, the strongest and most consistent associations were with transportation needs. In post-hoc analyses, most associations between transportation needs and mental health remained significant after adjusting for possible confounders. Conclusions: Compared to participants who did not report histories of mental health conditions, those who reported mental health conditions were more likely to call 2-1-1 seeking transportation assistance. Community-based agencies providing transportation or mental health services could partner to provide linkages between services and increase capacity to address transportation and mental health needs.

Examining Psychosocial Correlates of a Home Smoking Ban Among Low-income Smokers: Analysis of Social Support, Unmet Social Needs, Perceived Stress, and Depressive Symptoms.

Home smoking bans reduce exposure to second-hand smoke. Understanding how psychosocial factors are related to having a home smoking ban may lead to better interventions for populations less likely to have home smoking bans, including low-income smokers. In this study, we used baseline data from 1,944 participants in a randomized trial of low-income smokers in Missouri to explore psychosocial correlates of a total home smoking ban. Using logistic regression, we examined associations between psychosocial variables (social support, unmet social needs [e.g., food, housing], perceived stress, and depressive symptoms) and a total home smoking ban. 72% of participants were female, and 58% were Black/African American; 26% reported a home smoking ban. In unadjusted and adjusted models, greater social support was associated with greater likelihood of a home smoking ban. Stress was negatively associated with a ban in adjusted models only. The fact that most participants did not have a home smoking ban highlights the need for further intervention in this population. Results suggest links between social support and having a home smoking ban, although effect sizes were small. Smoke-free home interventions that increase social connectedness or leverage existing support may be especially effective. Tobacco control planners may also consider partnering with agencies addressing social isolation.

Low housing quality, unmet social needs, stress and depression among low-income smokers.

Smokers are at greater risk of multiple health conditions that are exacerbated by environmental hazards associated with low housing quality. However, little is known about the prevalence of low housing quality among low-income smokers. Using correlations and logistic regression, we examined associations among eight housing quality indicators - pests, water leaks, mold, lead paint, and working smoke detectors, appliances, heating, and air conditioning - and between housing quality and social needs, depressive symptoms, perceived stress, sleep problems, and self-rated health in a community-based sample of 786 low-income smokers from 6 states. Most participants were female (68%), and White (45%) or African-American (43%). One in four (27%) completed less than high school education, and 41% reported annual pre-tax household income of less than $10,000. Housing quality problems were common. Most participants (64%) reported at least one problem in their home, and 41% reported two or more problems, most commonly pest infestations (40%), water leaks (22%), lack of air conditioning (22%) and mold (18%). Lack of heat and air conditioning were correlated, as were water leaks and mold. Using logistic regression analyses controlling for participant demographic characteristics, we found that reporting more housing quality problems was associated with greater odds of worse mental and physical health outcomes. Multiple health threats, including housing quality, depressive symptoms, stress, poor sleep, and financial strain may be mutually reinforcing and compound the health consequence of smoking. Future research should seek to replicate these findings in other samples, and examine associations longitudinally to better understand causality.

Intention to vaccinate children for COVID-19: A segmentation analysis among Medicaid parents in Florida.

COVID-19 vaccines have been granted emergency use authorization for children ages 5 years and older. To understand how racially and ethnically diverse parents of young children enrolled in Medicaid feel about a prospective COVID-19 vaccine for their children, we administered an online survey that included both close-ended and open-ended items to a statewide sample in Florida (n = 1951). We used quantitative responses to conduct a statistical audience segmentation analysis that identified five distinct sub-groups that varied widely in the likelihood that they would get a COVID-19 vaccine for their child. Qualitative responses were used to illustrate differences between the groups. The youngest Black and White mothers were least likely to vaccinate their child (24%), followed by Black and White mothers in their early 30s (36%), younger Hispanic and mixed-race or other race parents (45%), older mothers (48%) and older fathers (71%). Unique challenges to building vaccine confidence emerged for each group. The youngest Black and White mothers were more likely to report their lives being worse during the COVID-19 pandemic, were far more negative and less positive about a COVID-19 vaccine, and were more concerned about paying bills than preventing COVID-19. Younger Hispanic and mixed-race parents were less negative, but more likely to use emotional language (e.g., scared, nervous, worried) talking about a COVID-19 vaccine, and more likely to report that protecting their child's health was their top concern. Recommendations are made for applying the insights gained in outreach and education efforts.

Correlates of smoking discarded cigarettes in a sample of low-income adults.

INTRODUCTION: Unconventional smoking behaviors such as smoking used or discarded cigarettes may increase the risk of nicotine dependence and exposure to toxins. To better understand low-income smokers who smoke discarded cigarettes and to inform effective tobacco cessation strategies, the current study examined potential correlates not considered in prior studies. METHODS: This secondary analysis examined baseline data from 1936 low-income smokers participating in a randomized cessation trial. To assess smoking discarded cigarettes, participants were asked: "In the past 30 days, have you smoked what's left of a cigarette that someone else left behind?" Unadjusted and adjusted logistic regression were used to explore associations between smoking discarded cigarettes and social needs, social environment, mental and physical health, other smoking-related behaviors, and demographic characteristics. RESULTS: One in six participants reported smoking discarded cigarettes. Younger smokers, men, smokers with lower incomes and those who were not employed were more likely to smoke discarded cigarettes. Other correlates included having unmet social needs (transportation, food, housing, physical safety, and neighborhood safety), living with other smokers, worse mental health, greater perceived stress, heavier smoking, using other tobacco products, and bumming cigarettes from others. In a multivariable model, income, social environment, and other smoking behaviors emerged as significant correlates. CONCLUSIONS: In addition to financial hardship, mental health, and nicotine dependence, the social needs, social environment, and other smoking behaviors of low-income smokers are important correlates of smoking discarded cigarettes. Future research to understand and address tobacco health disparities should examine these relationships longitudinally.

Re-examining phone counseling for smoking cessation: Does the evidence apply to low-SES smokers?

INTRODUCTION: A 2019 Cochrane review concluded telephone counseling is an effective intervention for smoking cessation. However, the review did not assess the role of socioeconomic status (SES) indicators on the effectiveness of telephone counseling. METHODS: We reviewed 65 U.S. studies from the Cochrane review. We abstracted data on education, income, employment status and insurance status, and examined associations with targeted recruitment, intervention uptake, attrition, and cessation outcomes. RESULTS: Except for education, SES indicators were seldom reported or used in analysis: 61 studies reported education, 24 reported insurance status, 23 reported employment status, and 17 reported income. Nine studies exclusively recruited low-SES samples. Thirteen studies examined associations between SES and smoking cessation. Among these, two reported lower education predicted greater cessation and two reported higher education predicted greater cessation. Other studies found higher income (n = 2) or employment type (n = 1) predicted cessation. CONCLUSIONS: Evidence supporting telephone counseling for cessation is less clear when applied to low-SES smokers. Future research should directly assess intervention effectiveness in this priority population. PRACTICE IMPLICATIONS: Given the evidence, it may be hard to justify future studies not focusing on low-SES populations. Innovative counseling solutions from providers helping low-income smokers quit should be evaluated to inform best practice.

Stress, depression, sleep problems and unmet social needs: Baseline characteristics of low-income smokers in a randomized cessation trial.

BACKGROUND: Low-income Americans smoke cigarettes at higher rates and quit less than other groups. METHODS: To increase their engagement in and success using evidence-based cessation methods, we tested two interventions using a 2x2 randomized factorial design: (1) telephone navigation to reduce financial strain and address social needs such as food, rent and utility payment; and (2) a specialized tobacco quitline designed for low-income smokers. From June 2017 to November 2020, we enrolled 1,944 low-income smokers in Missouri, USA, recruited through the Missouri 2-1-1 helpline, into the trial. This paper describes recruitment, key characteristics and life circumstances of this high-risk population. RESULTS: After eligibility screening, 1,944 participants completed baseline and were randomized. Participants were racially diverse (58% African American), poor (51% < $10,000 annual pre-tax household income) and many reported less than high school education (30%). They reported a mean of 2.5 unmet social needs, especially childcare and paying bills, had high rates of stress, depressive symptoms and sleep problems, and most were in fair or poor health. There were few differences between these variables, and no differences between tobacco use and cessation variables, across the four study groups and between participants recruited pre and during the COVID-19 pandemic. CONCLUSIONS: Trial recruitment through the 2-1-1 helpline is feasible for reaching a population of low-income smokers. Low-income smokers face myriad daily challenges beyond quitting smoking. Cessation interventions need to account for and address these life circumstances. TRIAL REGISTRATION: Clinicaltrials.gov NCT03194958.

Helpline Calls Associated With Preventable Emergency Department Utilization.

INTRODUCTION: Unmet social needs are linked with greater healthcare utilization, but most studies lack timely and granular data on these needs. The 2-1-1 helpline is a telephone helpline focused on social needs. The objective of the study is to determine whether the number of 2-1-1 requests per 1,000 people is associated with preventable emergency department visits and compare the strength of the association with another commonly used predictor, Area Deprivation Index. METHODS: This cross-sectional study linked 2-1-1 requests to emergency department visits from uninsured and Medicaid-insured patients by ZIP code for a large urban hospital system from January 1, 2016 to August 31, 2019. Negative binomial regression analysis was used to estimate the association of 2-1-1 service requests and Area Deprivation Index with preventable emergency department visits. RESULTS: A total of 233,146 preventable emergency department visits and 520,308 2-1-1 requests were analyzed. For every 1-SD increase in 2-1-1 requests per 1,000 population, preventable emergency department visits increased by a factor of 3.05, even after controlling for local area deprivation and other population characteristics (p<0.001). CONCLUSIONS: Requests to 2-1-1 helplines are strongly associated with preventable emergency department visits. This information may help hospital leaders and policymakers target social needs interventions to the neighborhoods with the greatest need.

Comparing two approaches to remote biochemical verification of self-reported cessation in very low-income smokers.

Little is known about the acceptability and use of remote biochemical verification of self-reported cessation among low-income and racially diverse smokers. We compared responses to an in-person carbon monoxide breath test and in-home urine cotinine test among 270 adults who reported 7-day continuous abstinence at 6-month follow-up in a community-based randomized cessation trial. Half of participants (50%) reported annual household income below $10,000, one in four (28%) had not completed high school, and 69% were Black or African American. Regardless of whether the two tests were offered separately, sequentially, or as a head-to-head choice, participants were more likely to accept an offer to take the urine test than the breath test (89% vs. 32%), and complete it (46% vs. 13%). The proportion of participants completing the urine test and returning a digital photo of the test result is comparable to several studies completed with less disadvantaged samples. Self-report was confirmed by urine test for 74% of participants with a conclusive test result, although a high percentage (39%) of test results were inconclusive. In-home urine testing appears both acceptable and feasible for many low-income smokers, but challenges with testing technology and response rates currently limit its value to increase confidence in self-reports.

How Do Social Needs Cluster Among Low-Income Individuals?

Social needs screening in health care settings reveals that many low-income individuals have multiple unmet social needs at the same time. Having multiple simultaneous social needs greatly increases the odds of experiencing adverse health outcomes. To better understand how and which social needs cluster in these cases, the authors examined data from 14,749 low-income adults who completed a social needs assessment in one of 4 separate studies conducted between 2008 and 2019 in the United States. Participants were Medicaid beneficiaries, helpline callers, and daily smokers. Findings were strikingly consistent across the 4 studies. Participants with ≥2 social needs (n = 5621; 38% of total) experienced more stress, depressive symptoms, sleep problems, and chronic diseases and were more likely to rate their health as fair or poor. Social needs reflecting financial strain were highly correlated, such as needing help paying utility bills and needing money for necessities such as food, shelter, and clothing (r = .49 to .71 across studies). Participants experienced 351 distinct combinations of ≥2 social needs. The 10 most common combinations accounted for more than half of all participants with ≥2 needs. Clusters of social needs varied by subgroups. Women with children were more likely than others to need more space in their home and help paying utility bills; low-income men were more likely to be physically threatened and need a place to stay; older, sicker adults were more likely to need money for necessities and unexpected expenses, as well as transportation. Findings are discussed in the context of creating smarter, more efficient social needs interventions.

Addressing Social Needs in Health Care Settings: Evidence, Challenges, and Opportunities for Public Health.

There has been an explosion of interest in addressing social needs in health care settings. Some efforts, such as screening patients for social needs and connecting them to needed social services, are already in widespread practice. These and other major investments from the health care sector hint at the potential for new multisector collaborations to address social determinants of health and individual social needs. This article discusses the rapidly growing body of research describing the links between social needs and health and the impact of social needs interventions on health improvement, utilization, and costs. We also identify gaps in the knowledge base and implementation challenges to be overcome. We conclude that complementary partnerships among the health care, public health, and social services sectors can build on current momentum to strengthen social safety net policies, modernize social services, and reshape resource allocation to address social determinants of health.

Expressed and unexpressed social needs in low-income adults in the U.S.

Many healthcare organisations are now routinely screening patients for social needs such as food and housing. It is largely unknown whether the needs they identify would have been expressed by the patient in the absence of screening. To better understand expressed and unexpressed social needs, we administered a social needs screener to 1,397 low-income adults who called a 2-1-1 helpline in Missouri seeking assistance with social needs between June 2017 and October 2019. Merging data from the screener and 2-1-1, we found that the screener identified all of the social needs expressed to 2-1-1 for about half the participants, and on average identified at least one social need not expressed to 2-1-1 (i.e., unexpressed needs). Certain social needs (utility payment assistance, housing) were much more likely to be expressed than unexpressed, while others (childcare, employment, personal safety) were almost universally unexpressed. In regression analyses, having certain expressed needs significantly increased the odds of having certain unexpressed needs. For example, those seeking transportation assistance from 2-1-1 had greater odds of unexpressed needs for food (OR = 3.19; 95% CI = 1.45-7.02) and healthcare (OR = 2.18; 95% CI = 1.06-4.48) than those not expressing transportation needs. Those seeking employment assistance from 2-1-1 had greater odds of unexpressed needs for personal safety (OR = 3.04; 95% CI = 1.20-7.68) and healthcare (OR = 2.58; 95% CI = 1.15-5.77) than those not expressing employment needs. Implications for healthcare (screening detects expressed and unexpressed needs) and social service organisations (certain requests may be markers for other needs) are discussed.

Client Perspectives on Health Coaching: Insight for Improved Program Design.

Objective: In this paper, we examine client perspectives of health coaching programs and differences by insurance type. Methods: We used descriptive coding and directed content analysis to analyze semi-structured qualitative in-person interviews that assessed preferred health coach qualifications and experience, desirable attributes for coaches, and interest in having a coach. We recruited participants (N = 140 adults: 61 commercial insurance, 79 Medicaid) without consideration of prior health coaching experience. Results: Participants viewed physicians as the experts on health and valued coaches as supporters of behavior-change efforts that could take a patient's life context into account. Empathetic coaches were expected to motivate and hold patients accountable without taking too much time or being too "pushy." Participants preferred some in-person interaction and differed in preferences for program referral and enrollment approaches. Medicaid beneficiaries had less prior exposure to health coaching, more interest in having a coach, and preferred coaches to provide medical education. Conclusions: Irrespective of prior coaching experience or insurance type, participants agreed on many preferred characteristics of coaches and coaching programs. Understanding client preferences and expectations can help refine the role of health coaches, making them more effective and shaping the way they are presented to potential participants to enhance their appeal and use.

Assessing The Capacity Of Local Social Services Agencies To Respond To Referrals From Health Care Providers.

Health care providers are increasingly screening low-income patients for social needs and making referrals to social services agencies to assist in resolving them. A major assumption of this approach is that local social services providers have the capacity and resources to help. To explore this assumption, we examined 711,613 requests related to fifty different social needs received from callers to 211 helplines in seven states during 2018. Our analyses focused on the proportion of requests for which referrals could not be made because of low capacity in the social services system. We examined the extent to which the capacity of this system varied by type of social need, ZIP code, and time of year, and we classified social needs in a new typology based on prevalence and system capacity. It is clear that health care's current screening and referral approach is appropriate for some social needs but not others.

Specialized tobacco quitline and basic needs navigation interventions to increase cessation among low income smokers: Study protocol for a randomized controlled trial.

Smoking in the United States follows a clear socioeconomic gradient: low-income Americans smoke more and quit less than those with more education and income. Evidence-based interventions like tobacco quitlines are designed to make effective cessation services available on a population basis to all smokers. However, these interventions do not address many of the unique challenges faced by low-income smokers, including unmet basic needs like food, housing, personal safety and money for necessities that often supersede health needs. Research is needed to maximize the use and effectiveness of tobacco quitlines in low-income populations. This paper details the rationale, design and methods for a 2 × 2 randomized controlled trial currently underway comparing the effects of Standard and Specialized Tobacco Quitlines with and without Basic Needs Navigation on intervention engagement and smoking cessation among low-income smokers. Smokers are recruited from United Way 2-1-1 in Missouri and all participants receive tobacco quitline services from Optum. Quitline and navigation services are provided for 3 months. Participants complete telephone surveys at baseline, 3- and 6-month follow up. The primary study outcome is self-reported 7-day point prevalence abstinence at 6-month follow up. Embedding the study in practice agencies will accelerate dissemination and scalability should our findings demonstrate intervention effectiveness.