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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.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.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%).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.

Health care organizations are increasingly assessing patients' social needs (eg, food, utilities, transportation) using various measures and methods. Prior studies have assessed social needs at the point of care and many studies have focused on correlates of 1 specific need (eg, food). This comprehensive study examined multiple social needs and medical and pharmacy claims data. Medicaid beneficiaries in Louisiana (n = 10,275) completed a self-report assessment of 10 social needs during July 2018 to June 2019. Chronic health conditions, unique medications, and health care utilization were coded from claims data. The sample was predominantly female (72%), Black (45%) or White (32%), had a mean age of 42 years, and at least 1 social need (55%). In bivariate analyses, having greater social needs was associated with greater comorbidity across conditions, and each social need was consistently associated with mental health and substance use disorders. In multivariable logistic analyses, having ≥2 social needs was positively associated with emergency department (ED) visits (OR = 1.39, CI = 1.23 – 1.57) and negatively associated with wellness visits (OR = 0.87, CI = 0.77 – 0.98), inpatient visits (OR = 0.87, CI = 0.76 – 0.99), and 30-day rehospitalization (OR = 0.66, CI = 0.50 – 0.87). Findings highlight the greater concomitant risk of social needs, mental health, and substance use. Admission policies may reduce the impact of social needs on hospitalization. Chronic disease management programs offered by health plans may benefit from systematically assessing and addressing social needs outside point-of-care interactions to impact health outcomes and ED utilization. Behavioral health care management programs would benefit from integrating interventions for multiple social needs.

Objective: Most emergency preparedness planning seeks to identify vulnerable population subgroups; however, focusing on chronic conditions alone may ignore other important characteristics such as location and poverty. Social needs were examined as correlates of anticipated needs and desire for assistance during an emergency. Methods: A retrospective, secondary analysis was conducted using assessments of 8280 adult Medicaid beneficiaries in Louisiana, linked with medical (n = 7936) and pharmacy claims (n = 7473). Results: The sample was 73% female; 47% Black; 34% White; mean age 41 y. Many had at least 1 chronic condition (75.9%), prescription (90.3%), and social need (45.2%). Across assessments, many reported food (40%), housing (34%), and transportation (33%) needs. However, far more people anticipated social needs during an emergency than in the next month. Having social needs increased the odds of anticipating any need (odds ratio [OR] = 1.5, 1.44-1.56) and desire for assistance during an emergency, even after controlling for significant covariates including older age, race, geographic region, Medicaid plan type, and prescriptions. Chronic conditions were significantly correlated with all anticipated needs in bivariate analyses, but only modestly associated (OR = 1.03, 1.01-1.06) with anticipated medication needs in multivariable analyses. Conclusions: Identifying individuals with social needs, independent of their chronic disease status, will benefit emergency preparedness outreach efforts.

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.

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. Seventy-two percent 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.

Objectives The aims of the study were to identify unmet basic needs (BNs) among women referred to colposcopy, to assess patient acceptability/satisfaction with assistance from a navigator to address unmet BNs, and to estimate adherence to colposcopy. Methods Women were recruited between September 2017 and January 2019 from 2 academic colposcopy centers, one serving a rural and one an urban area. Basic needs were assessed by phone before colposcopy appointments and considered unmet if unlikely to resolve in 1 month. Colposcopy adherence prestudy and poststudy implementation was abstracted over 4-6 months from administrative records. After a lead-in phase of 25 patients at each site, a BN navigator was offered to new participants with 1 or more unmet BNs. Primary outcome was adherence to initial appointment. Results Among 100 women, 59% had 1 or more unmet BNs, with similar prevalence between urban and rural sites. Adherence to initial colposcopy was 83% overall, 72% at the rural clinic, and 94% at the urban clinic (p = .006). These adherence rates were improved from 4 months before study launch (30/59 [51%] rural clinic and 68/137 [50%] urban clinic). Although acceptability of BN navigation was greater than 96% and women felt that it helped them get to their colposcopy visit, having a navigator was not associated with adherence. Women reporting no unmet BNs had the lowest adherence compared with women with 1 or more unmet BNs, regardless of navigator assistance (p = .03). Conclusions Disadvantaged women who need colposcopy have unmet BNs and value navigator assistance for initial appointments. However, when appointment scheduling includes telephone reminders and inquiring about BNs, a navigator may not add value.

Background Little is known about the effect of health professionals’ advice on promoting healthy lifestyle behaviors (diet and exercise) among breast cancer patients. Purpose To identify predictors of receiving lifestyle advice from health professionals and its impact on healthy lifestyle behaviors. Methods We used data from a randomized controlled trial of an interactive, cancer-communication video program using African American breast cancer survivor stories for newly diagnosed African American breast cancer patients (Stages 0–III). Participants completed five interviews over 2 years. This intervention did not significantly affect changes in quality-of-life outcomes. In secondary analysis, we examined differences in baseline variables between women with and without diabetes. Logistic regression models identified independent predictors of receiving advice from “a doctor or other health professional” to improve diet and exercise and of self-reported change in diet and exercise habits at 2 year follow-up. Results Of 193 patients included (85% of 228 enrolled), 53 (28%) had diabetes. At 2 year follow-up, a greater proportion of women with (vs. without) diabetes reported receiving advice by a doctor/health professional to improve their diet (73% vs. 57%, p = .04,). Predictors of receiving dietary advice were obesity, diabetes, and breast-conserving surgery (each p < .05). Women receiving dietary advice were 2.75 times more likely to report improving their diet (95% confidence interval: 1.17, 6.46) at follow-up, but receiving physical activity advice was not significantly associated with patients reporting an increase in exercise. Conclusions Although receiving dietary advice predicted dietary improvements, receiving exercise advice did not lead to an increase in physical activity. Clinical Trial Registration Trial Number NCT00929084.

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.

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%, Highlights • Low-income smokers were recruited through the 2-1-1 helpline. • COVID-19 slowed recruitment, but few characteristics differed between groups. • Stress, depression and financial strain may impede quitting for low-income smokers.

In the current effort to vaccinate as many people as possible against COVID-19, it has been suggested that events such as the pause in the use of the Janssen vaccine would have a large effect on perceptions of vaccine safety. Further, as vaccination rates slow, there is concern that hesitancy may be stable and difficult to change among those still unvaccinated. We examined both of these issues in our ongoing study of low-income participants. We modeled the intensive longitudinal data provided by 53 individuals. We found the negative, not statistically significant effect of the Janssen pause would be overwhelmed within weeks by the statistically significant increasing perceptions of safety across time. We also observed strong variability in vaccine hesitancy in many participants. Frequent reminders about vaccine availability might catch more people when they are less hesitant, helping increase vaccination rates.

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.

Highlights • Low-income smokers preferred urine tests over breath tests to confirm cessation. • Rates of completing in-home urine tests were comparable to rates in prior studies. • Many digital photos of urine test results were inconclusive, limiting their value. • Urine tests are acceptable to low-income smokers, but need to yield clearer results., 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.

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.

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.

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.

Background In the United States, more than half of cervical cancers occur in women who are inadequately screened. Interventions to improve access to cervical cancer preventive care is critical to reduce health inequities. Objective This study aimed to evaluate the need for cervical cancer screening among women seeking assistance with basic needs and to assess best approaches to facilitate Papanicolaou test referral. Study Design This study is a secondary analysis of a randomized controlled trial of low-income female callers to 2-1-1 Missouri, a helpline for local health and social services. The need for cervical cancer screening was assessed. Callers were randomized to 1 of 3 arms, each providing a Papanicolaou test referral: verbal referral only, verbal referral and tailored print reminder, or verbal referral and navigator. The primary outcome was contacting a Papanicolaou test referral 1 month following intervention. Student t tests or Mann-Whitney U tests were used to analyze significant differences in continuous variables, whereas Fisher exact or χ2 tests were used for categorical variables. We stratified by number of unmet basic needs (0–1 vs ≥2) and compared success of contacting a Papanicolaou test referral among study groups (verbal referral vs tailored reminder vs navigator) using the Fisher exact test and χ2 test, respectively. Multivariate logistic regression was used to assess risk factors for nonadherence for Papanicolaou test at baseline and at 1 month follow-up, adjusting for race and ethnicity, age, insurance status, self-rated health, smoking, and study group. Results Among 932 female callers, 250 (26.8%) needed cervical cancer screening. The frequency of unmet basic needs was high, the most common being lack of money for unexpected expenses (91.2%) and necessities, such as food, shelter, and clothing (73.2%). Among those needing a Papanicolaou test, 211 women received screening referrals. Women in the navigator group (21 of 71, 29.6%) reported higher rates of contacting a Papanicolaou test referral than those exposed to verbal referral only (11/73, 15.1%) or verbal referral and tailored print reminder (9/67, 13.4%) (P=.03). Among 176 women with ≥2 unmet needs who received a Papanicolaou test referral, the provision of a navigator remained associated with contacting the referral (navigator [33.9%] vs verbal referral [17.2%] vs tailored reminder [10.2%]; P=.005). Assignment to the navigator group (adjusted odds ratio, 3.4; 95% confidence interval, 1.4–8.5) and nonwhite race (adjusted odds ratio, 2.0; 95% confidence interval, 1.5–2.8) were independent predictors of contacting a Papanicolaou test referral. Conclusion Low-income women seeking assistance with basic needs often lack cervical cancer screening. Health navigators triple the likelihood that women will make contact with Papanicolaou test services, but most 2-1-1 callers still fail to schedule Papanicolaou testing despite assistance from navigators. Interventions beyond health navigators are needed to reduce cervical cancer disparities.

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.

To examine the feasibility and acceptability of an interactive video program of African American breast cancer survivor stories, we explored story reactions among African American women with newly diagnosed breast cancer and associations between patient factors and intervention use. During a randomized controlled trial, patients in the intervention arm completed a baseline/pre-intervention interview, received the video intervention, and completed a post-intervention 1-month follow-up interview. Additional video exposures and post-exposure interviews occurred at 6- and 12-month follow-ups. Multivariable linear mixed-effects models examined interview and clinical data in association with changes in minutes and actions using the program. After Exposure1, 104 of 108 patients allocated to the intervention reported moderate-to-high levels of positive emotional reactions to stories and identification with storytellers. Exposure1 mean usage was high (139 minutes) but declined over time (p< .0001). Patients receiving surgery plus radiation logged about 50 more minutes and actions over 12-month follow-up than patients receiving surgery only (p

Diabetes self-management (i.e., glucose control, medication adherence, healthy behaviors) is important but challenging, especially among low-income populations. Competing priorities such as social needs (i.e., food, housing, safety, financial) and managing comorbidities adds further burden and may affect healthcare utilization. A large Medicaid managed care plan in Louisiana assessed self-reported social needs among clients with type 2 diabetes from July 2018 - June 2019. We examined the number and pattern of social needs and their association with number of chronic disease comorbidities and emergency room (ER) visits from medical claims data in the 12-months prior to completing the social needs assessment. The sample (n=2902) was mostly female (69.2%), >45 years old (71.2%), Black (61.0%), with ≥1 social need (59.9%; mean= 1.12 ± 1.33; range= 0-8), ≥1 comorbidity in addition to diabetes (97.3%; mean= 3.91 ± 2.14; range= 0-13), and a mean of 4.11 ± 5.83 ER visits. Findings revealed a positive association between social needs and comorbidities (χ2= 32.49; p Disclosure N. Verdecias: None. A. McQueen: None. L. Li: None. C.R. Baddam: None. R.E. Smith: None. M. Kreuter: None. Funding National Institute of Diabetes and Digestive and Kidney Diseases (R01DK115916-01A1)

Research links the built environment to health outcomes, but little is known about how this affects quality of life (QOL) of African American breast cancer patients, especially those residing in disadvantaged neighborhoods. Using latent trajectory models, we examined whether the built environment using Google Street View was associated with changes in QOL over a 2-year follow-up in 228 newly diagnosed African American breast cancer patients. We measured QOL using the RAND 36-Item Health Survey subscales. After adjusting for covariates, improvement in emotional well-being and pain over time was greater for women living on streets with low-quality (vs. high-quality) sidewalks.

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.

INTRODUCTION: Interventions to create smoke-free homes typically focus on parents, involve multiple counseling sessions and blend cessation and smoke-free home messages. Smoke-Free Homes: Some Things are Better Outside is a minimal intervention focused on smokers and nonsmokers who allow smoking in the home, and emphasizes creation of a smoke-free home over cessation. The purpose of this study is to conduct moderator analyses using pooled data from three randomized controlled trials of the intervention conducted in collaboration with 2-1-1 contact centers in Atlanta, North Carolina and Houston. 2-1-1 is a strategic partner for tobacco control as it connects over 15 million clients, largely socio-economically disadvantaged, to social and health resources each year. METHODS: A total of 1,506 2-1-1 callers participated in the three intervention trials. Outcomes from six month intent-to-treat analyses were used to examine whether sociodemographic variables and smoking-related characteristics moderated effectiveness of the intervention in establishing full home smoking bans. RESULTS: Intervention effectiveness was not moderated by race/ethnicity, education, income, children in the home or number of smokers in the home. Smoking status of the participant, however, did moderate program effectiveness, as did time to first cigarette. Number of cigarettes per day and daily versus nondaily smoking did not moderate intervention effectiveness. CONCLUSIONS: The intervention was effective across socio-demographic groups and was effective without respect to daily versus nondaily smoking or number of cigarettes smoked per day, although smoking status and level of nicotine dependence did influence effectiveness.

Almost half of young American children live in low-income families, many with unmet needs that negatively impact health and life outcomes. Understanding which needs, proactively addressed, would most improve their lives would allow maternal and child health practitioners and social service providers to generate collaborative solutions with the potential to affect health in childhood and throughout the life course. 2-1-1 referral helplines respond to over 16 million inquiries annually, including millions of low-income parents seeking resources. Because 2-1-1 staff members understand the availability of community resources, we conducted an online survey to determine which solutions staff believed held most potential to improve the lives of children in low-income families. Information and referral specialists, resource managers, and call center directors ( N = 471) from 44 states, Puerto Rico, and Canada ranked the needs of 2-1-1 callers with children based on which needs, if addressed, would help families most. Childcare (32%), parenting (29%), and child health/health care (23%) were rated most important. Across all childcare dimensions (e.g. quality affordable care, special needs care), over half of the respondents rated community resources inadequate. Findings will help practitioners develop screeners for needs assessment, prioritize resource referrals, and advocate for community resource development.

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.

The purpose of this evaluation was to assess the effect of the online evidence-based cancer control (EBCC) training on improving the self-reported evidence-based decision-making (EBDM) skills in cancer control among Nebraska public health professionals.Cross-sectional group comparison.Previously developed EBDM measures were administered via online surveys to 201 public health professionals at baseline (comparison group) and 123 professionals who took part in the training. Respondents rated the importance of and their skill level in 18 EBCC skills. Differences were examined using analysis of variance models adjusted for gender, age, years at agency, and years in position, and stratified by respondent educational attainment.Among professionals without an advanced degree, training participants reported higher overall skill scores (P = .016) than the baseline non-participant group, primarily driven by differences in the partnerships and collaboration and evaluation domains. No differences in importance ratings were observed. Among professionals with advanced degrees, there were no differences in skill scores and small differences in importance scores in the expected direction (P .05). Respondents at baseline rated the following facilitators for EBDM as important: expectations from agency leaders and community partners, high priority placed on EBDM by leadership, trainings, and positive feedback. They also reported using a variety of materials for making decisions about programs and policies, though few used individual scientific studies.EBCC led to improved self-reported EBDM skills among public health professionals without an advanced degree, though a gap remained between the self-reported skills and the perceived importance of the skills. Further research on training content and modalities for professionals with higher educational attainment and baseline skill scores is needed.

Social support plays an important role in quality of life and health outcomes after breast cancer diagnosis and treatment.To examine changes in perceived social support in African American women during the two years following a new breast cancer diagnosis.This secondary analysis uses data collected from 2009 to 2015 from 227 newly diagnosed, African American women with breast cancer (mean age 56 [SD = 10], 59% household income $25,000; 28% married/partnered, 72% early stage) participating in a randomized controlled trial testing the effects of a video-communication intervention on quality-of-life and follow-up care. Participants, all of whom received treatment in one metropolitan area of the Midwestern United States, completed five telephone interviews over 2-year follow-up; demographic, psychosocial, quality of life, and clinical data were collected. Growth curve models were used to examine change in perceived social support (measured by the Medical Outcomes Study Social Support Survey) as well as correlates of baseline levels of social support and predictors of change in individuals' social support. Additional analyses examined whether change in social support over the first year affected depressive symptoms (Center for Epidemiologic Studies Depression Scale) and general health perceptions (RAND SF-36 subscale) at two years.Being married, reporting greater spirituality, and reporting fewer depressive symptoms at baseline were significantly associated with higher initial levels of perceived social support. Women whose social support declined during the first year after diagnosis reported more severe depressive symptoms and worse general health perceptions at two years.Clinicians should periodically assess perceived social support among African American women with breast cancer to help find support resources for those who have low initial social support and for those whose support declines in the first year after diagnosis.

Scalable interventions remain effective across a range of real-world settings and can be modified to fit organizational and community context. “Smoke-Free Homes: Some Things are Better Outside” has been effective in promoting smoke-free home rules in low-income households in efficacy, effectiveness, generalizability, and dissemination studies. Using data from a dissemination study in collaboration with five 2-1-1 call centers in Ohio, Florida, Oklahoma, and Alabama ( n = 2,345 households), this article examines key dimensions of scalability, including effectiveness by subpopulation, secondary outcomes, identification of core elements driving effectiveness, and cost-effectiveness. Evaluated by 2-1-1 staff using a pre–post design with self-reported outcomes at 2 months postbaseline, the program was equally effective for men and women, across education levels, with varying number of smokers in the home, and whether children were present in the home or not. It was more effective for nonsmokers, those who smoked fewer cigarettes per day, and African Americans. Creating a smoke-free home was associated with a new smoke-free vehicle rule (odds ratio [OR] = 3.38, confidence interval [CI 2.58, 4.42]), decreased exposure to secondhand smoke among nonsmokers (b = −2.33, p < .0001), and increased cessation among smokers (OR = 5.8, CI [3.81, 8.81]). Use of each program component was significantly associated with success in creating a smoke-free home. Using an intent-to-treat effect size of 40.1%, program benefits from 5 years of health care savings exceed program costs yielding a net savings of $9,633 for delivery to 100 households. Cost effectiveness, subpopulation analyses, and identification of core elements can help in assessing the scalability potential of research-tested interventions such as this smoke-free homes program.

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.

In the face of unmet basic needs, low SES adults are less likely to obtain needed preventive health services. The study objective was to understand how these hardships may cluster and how the effectiveness of different health-focused interventions might vary across vulnerable population sub-groups with different basic needs profiles. From June 2010–2012, a random sample of low-income adult callers to Missouri 2-1-1 completed a cancer risk assessment and received up to 3 health referrals for needed services (mammography, pap testing, colonoscopy, HPV vaccination, smoking cessation and smoke-free home policies). Participants received either a verbal referral only (N=365), verbal referral + tailored print reminder (N=372), or verbal referral + navigator (N=353). Participants reported their unmet basic needs at baseline and contacts with health referrals at 1-month post-intervention. We examined latent classes of unmet basic needs using SAS. Logistic regression examined the association between latent classes and contacting a health referral, by intervention condition. A 3 class solution best fit the data. For participants with relatively more unmet needs (C2) and those with money needs (C3), the navigator intervention was more effective than the tailored or verbal referral only conditions in leading to health referrals contacts. For participants with fewer unmet basic needs (C1), the tailored intervention was as effective as the navigator intervention. The distribution and nature of unmet basic needs in this sample of low-income adults was heterogeneous, and those with the greatest needs benefitted most from a more intensive navigator intervention in helping them seek needed preventive health services.

Background. The Affordable Care Act allows uninsured individuals to select health insurance from numerous private plans, a challenging decision-making process. This study examined the effectiveness of strategies to support health insurance decisions among the uninsured. Methods. Participants ( N = 343) from urban, suburban, and rural areas were randomized to 1 of 3 conditions: 1) a plain language table; 2) a visual condition where participants chose what information to view and in what order; and 3) a narrative condition. We administered measures assessing knowledge (true/false responses about key features of health insurance), confidence in choices (uncertainty subscale of the Decisional Conflict Scale), satisfaction (items from the Health Information National Trends Survey), preferences for insurance features (measured on a Likert scale from not at all important to very important), and plan choice. Results. Although we did not find significant differences in knowledge, confidence in choice, or satisfaction across condition, participants across conditions made value-consistent choices, selecting plans that aligned with their preferences for key insurance features. In addition, those with adequate health literacy skills as measured by the Rapid Estimate of Adult Literacy in Medicine-Short Form (REALM-SF) had higher knowledge overall ([Formula: see text] = 6.1 v. 4.8, P < 0.001) and preferred the plain language table to the visual ( P = 0.04) and visual to narrative ( P = 0.0002) conditions, while those with inadequate health literacy skills showed no preference for study condition. A similar pattern was seen for those with higher subjective numeracy skills and higher versus lower education with regard to health insurance knowledge. Individuals with higher income felt less confident in their choices ([Formula: see text] = 28.7 v. 10.0, where higher numbers indicate less confidence/more uncertainty; P = 0.004). Conclusions. Those developing materials about the health insurance marketplace to support health insurance decisions might consider starting with plain language tables, presenting health insurance terminology in context, and organizing information according to ways the uninsured might use and value insurance features. Individuals with limited health literacy and numeracy skills and those with lower education face unique challenges selecting health insurance and weighing tradeoffs between cost and coverage.

Rationale Video-based interventions hold promise for improving quality of life (QoL) among African American breast cancer patients. Objective An interactive, cancer-communication intervention using African American breast cancer survivors' narratives was tested in a randomized controlled trial to determine whether viewing survivor stories improved newly diagnosed African American breast cancer patients' QoL. Method Participants were 228 African American women with non-metastatic breast cancer interviewed five times over two years; 120 controls received standard medical care, and 108 intervention-arm participants also received a tablet-computer with survivor stories three times in 12 months. Growth curve models were used to analyze differences between arms in change in eight RAND 36-Item Health Survey subscales, depressive symptoms, and concerns about recurrence. Additional models explored the effects of intervention usage and other intervention-related variables on QoL among patients in the intervention arm. Results Models showed no effect of study arm on QoL, depressive symptoms, or concerns about recurrence. Longer use of the intervention was associated with an increase in concerns about recurrence and decline in three QoL subscales: emotional wellbeing, energy/fatigue, and role limitations due to physical health. Conclusion Although no significant impact of the intervention on QoL was observed when comparing the two study arms, in the intervention arm longer intervention use was associated with declines in three QoL subscales and increased concerns about recurrence. Women with improving QoL may have interacted with the tablet less because they felt less in need of information; it is also possible that encouraging patients to compare themselves to survivors who had already recovered from breast cancer led some patients to report lower QoL. Future work is warranted to examine whether adding different stories to this cancer-communication intervention or using stories in conjunction with additional health promotion strategies (e.g., patient navigation) might improve QoL for African American breast cancer patients.

Unmet social needs—including food, housing, and utilities—have been associated with negative health outcomes, but most prior research has examined the health associations with a single unmet need or analyzed samples that were homogeneous along one or more dimensions (e.g., older adults or patients with chronic health conditions). We examined the association between unmet social needs and psychosocial and health-related outcomes in a sample of Medicaid beneficiaries from 35 U.S. states. In 2016-2017, 1,214 people completed an online survey about social needs, demographics, and health-related and psychosocial outcomes. Seven items assessing social needs formed an index in which higher scores indicated higher levels of unmet needs. Participants were eligible if they were ≥18 years and had Medicaid. The sample was predominantly female (87%). Most (71%) lived with at least one child ≤18 years, and 49% were White and 33% were African American. Average age was 36 years ( SD = 13). The most common unmet needs were not enough money for unexpected expenses (54%) and not enough space in the home (25%). Analyses controlling for recruitment method and demographics showed that increasing levels of unmet social needs were positively associated with stress, smoking, and number of chronic conditions, and negatively associated with future orientation, attitudes toward prevention, days of exercise/week, servings of fruits or vegetables/day, and self-rated health (all p < .01). Results add to the evidence about the relationship between unmet social needs and health. Interventions to help meet social needs may help low-income people improve both their economic situations and their health.

Use of health coaching to help individuals make and sustain changes in health behavior and disease management is increasing, and early evidence about its effects is promising. However, few studies assess participants’ preferences and expectations about health coaches, the use of the term health coach, and the coaching relationship. To help inform the design of future health coaching programs, we conducted qualitative interviews with 50 U.S. adults (25 with Medicaid, 25 commercially insured) to assess their (1) sources of health information; (2) familiarity with, preferences for, and associations with 32 terms that could describe “someone who uses experience and one-on-one communication to help others change behaviors to improve their health;” and (3) perceptions of how well different terms apply across different health behaviors and for nonhealth concerns (e.g., financial, career). Results showed wide variability in preferences for different coaching terms and mental models of coaching that differed by insurance type. Commercially insured participants made a distinction between experts and supporters as different categories of coaches. Medicaid participants associated coach with sports and viewed the term as less professional. All participants preferred terms such as advisor and specialist, and all wanted content experts who could also appreciate the broader context of their life.

While finding effective solutions to child and adolescent health problems is very much a scientific endeavor, getting those solutions into widespread practice largely is not. This paper applies lessons from business and engineering to highlight the shortcomings of current approaches to science translation. In challenging the status quo, the paper introduces and defends three propositions: that many evidence-based programs are not worth disseminating; most research-tested versions of programs are not ready for widespread use; and most intervention developers and testers make poor disseminators. These propositions provide the basis for recommending three components of an enhanced dissemination support system, and the conceptualization of a new model to disseminate evidence-based solutions to promote child and adolescent health.

Objectives. We tested the efficacy of a minimal intervention to create smoke-free homes in low-income households recruited through the United Way of Greater Atlanta 2-1-1, an information and referral system that connects callers to local social services. Methods. We conducted a randomized controlled trial (n = 498) from June 2012 through June 2013, with follow-up at 3 and 6 months. The intervention consisted of 3 mailings and 1 coaching call. Results. Participants were mostly smokers (79.7%), women (82.7%), African American (83.3%), and not employed (76.5%), with an annual household income of $10 000 or less (55.6%). At 6-months postbaseline, significantly more intervention participants reported a full ban on smoking in the home than did control participants (40.0% vs 25.4%; P = .002). The intervention worked for smokers and nonsmokers, as well as those with or without children. Conclusions. Minimal intervention was effective in promoting smoke-free homes in low income households and offers a potentially scalable model for protecting children and adult nonsmokers from secondhand smoke exposure in their homes.