Search

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.

Background Despite benefits of endocrine therapy (ET) for patients with hormone-receptor (HR)-positive breast cancer, many patients do not initiate or discontinue ET against recommendations. Methods We identified variables associated with ET initiation and continuation, analyzing pooled data from two longitudinal studies at a National Cancer Institute comprehensive cancer center in St. Louis, Missouri. The sample included 533 women with newly diagnosed, non-metastatic, HR-positive breast cancer who completed interviews at enrollment and 6, 12, and 24 months after definitive surgical treatment. Logistic regression models estimated the adjusted odds ratio and 95% confidence interval (aOR [95% CI]) for each of self-reported ET initiation by the 12-month interview and continuation for ≥12 months by the 24-month interview in association with self-reported diabetes, elevated depressed mood, menopausal-symptom severity and obesity, adjusting for race, age, insurance status, chemotherapy, and radiation therapy. Results Overall, 81.4% (434/533) of patients initiated ET, and 86.5% (371/429) continued ET ≥12 months. Patients with diabetes had lower odds of initiating ET (0.50 [0.27-0.91]). Patients reporting greater menopausal-symptom severity had lower odds of continuing ET (0.72 [0.53-0.99]). Conclusion Efforts to increase ET initiation among patients with diabetes and better manage severe menopausal symptoms among ET users might promote ET continuation. Clinical trial information ClinicalTrials.gov: #NCT00929084.

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.

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.

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.

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.

Background There is growing urgency to tackle issues of equity and justice in the USA and worldwide. Health equity, a framing that moves away from a deficit mindset of what society is doing poorly (disparities) to one that is positive about what society can achieve, is becoming more prominent in health research that uses implementation science approaches. Equity begins with justice—health differences often reflect societal injustices. Applying the perspectives and tools of implementation science has potential for immediate impact to improve health equity. Main text We propose a vision and set of action steps for making health equity a more prominent and central aim of implementation science, thus committing to conduct implementation science through equity-focused principles to achieve this vision in U.S. research and practice. We identify and discuss challenges in current health disparities approaches that do not fully consider social determinants. Implementation research challenges are outlined in three areas: limitations of the evidence base, underdeveloped measures and methods, and inadequate attention to context. To address these challenges, we offer recommendations that seek to (1) link social determinants with health outcomes, (2) build equity into all policies, (3) use equity-relevant metrics, (4) study what is already happening, (5) integrate equity into implementation models, (6) design and tailor implementation strategies, (7) connect to systems and sectors outside of health, (8) engage organizations in internal and external equity efforts, (9) build capacity for equity in implementation science, and (10) focus on equity in dissemination efforts. Conclusions Every project in implementation science should include an equity focus. For some studies, equity is the main goal of the project and a central feature of all aspects of the project. In other studies, equity is part of a project but not the singular focus. In these studies, we should, at a minimum, ensure that we “leave no one behind” and that existing disparities are not widened. With a stronger commitment to health equity from funders, researchers, practitioners, advocates, evaluators, and policy makers, we can harvest the rewards of the resources being invested in health-related research to eliminate disparities, resulting in health equity.

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.

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)

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.

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.

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.

The authors realize that the vision of taking a more market-oriented approach to dissemination likely raises more questions than it answers. Who would build and operate such a system? Who would pay for it? Would researchers who have developed and evaluated public health interventions cooperate in sharing their programs and products? What tangible incentives can be created at each step of the process to encourage dissemination and adoption? What would constitute success for such an effort and how would we measure it? All are important questions and worthy of thoughtful answers that match their complexity. Doing so is beyond the scope of this chapter, but ongoing in our work. The authors hope the ideas presented here will stimulate others’ thinking about systems and infrastructure to enhance dissemination, and welcome critiques, refinement, and additions to our proposed model.

Introduction Given homes are now a primary source of secondhand smoke (SHS) exposure in the United States, research-tested interventions that promote smoke-free homes should be evaluated in real-world settings to build the evidence base for dissemination. This study describes outcome evaluation results from a dissemination and implementation study of a research-tested program to increase smoke-free home rules through US 2-1-1 helplines. Methods Five 2-1-1 organizations, chosen through a competitive application process, were awarded grants of up to $70 000. 2-1-1 staff recruited participants, delivered the intervention, and evaluated the program. 2-1-1 clients who were recruited into the program allowed smoking in the home, lived in households with both a smoker and a nonsmoker or child, spoke English, and were at least 18 years old. Self-reported outcomes were assessed using a pre-post design, with follow-up at 2 months post baseline. Results A total of 2345 households (335–605 per 2-1-1 center) were enrolled by 2-1-1 staff. Most participants were female (82%) and smokers (76%), and half were African American (54%). Overall, 40.1% (n = 940) reported creating a full household smoking ban. Among the nonsmoking adults reached at follow-up (n = 389), days of SHS exposure in the past week decreased from 4.9 (SD = 2.52) to 1.2 (SD = 2.20). Among the 1148 smokers reached for follow-up, 211 people quit, an absolute reduction in smoking of 18.4% (p < .0001), with no differences by gender. Conclusions Among those reached for 2-month follow-up, the proportion who reported establishing a smoke-free home was comparable to or higher than smoke-free home rates in the prior controlled research studies. Implications Dissemination of this brief research-tested intervention via a national grants program with support from university staff to five 2-1-1 centers increased home smoking bans, decreased SHS exposure, and increased cessation rates. Although the program delivery capacity demonstrated by these competitively selected 2-1-1s may not generalize to the broader 2-1-1 network in the United States, or social service agencies outside of the United States, partnering with 2-1-1s may be a promising avenue for large-scale dissemination of this smoke-free homes program and other public health programs to low socioeconomic status populations in the United States.

The aim of this study was to assess the effect of a creating a smoke-free home (SFH) on cessation and reduction of cigarette smoking on low-income smokers. This secondary data analysis uses data from study participants who were originally recruited through 2-1-1 information and referral call centers in Atlanta (Georgia, 2013), North Carolina (2014) and the Texas Gulf Coast (2015) across three randomized controlled trials testing an intervention aimed at creating SFHs, pooling data from 941 smokers. Participants who reported adopting a SFH were more likely to report quitting smoking than those who did not adopt a SFH. This was true at 3-month follow-up and even more pronounced at 6-month follow-up and persisted when considering only those who consistently reported no smoking at 3 and 6 months. Among those who did not stop smoking, the number of cigarettes per day declined significantly more and quit attempts were more frequent for those who created a SFH compared with those who did not. Findings suggest that creating a SFH facilitates cessation, reduces cigarette consumption and increases quit attempts. Future studies should assess the long-term impact of SFHs on sustaining cessation.

Introduction The Smoke-Free Homes (SFH) Program is an evidence-based intervention offered within 2-1-1 information and referral call centers to promote smoke-free homes in low-income populations. We used the Consolidated Framework for Implementation Research to conduct a mixed-methods analysis of facilitators and barriers to scaling up SFH to five 2-1-1 sites in the United States. Methods Data were collected from staff in 2015-2016 via online surveys administered before (N = 120) and after SFH training (N = 101) and after SFH implementation (N = 79). Semi-structured telephone interviews were conducted in 2016 with 25 staff to examine attitudes towards SFH, ways local context affected implementation, and unintended benefits and consequences of implementing SFH. Results Post-implementation, 79% of respondents reported that SFH was consistent with their 2-1-1's mission, 70% thought it led to more smoke-free homes in their population, 62% thought it was easy to adapt, and 56% thought participants were satisfied. Composite measures of perceived appropriateness of SFH for 2-1-1 callers and staff positivity toward SFH were significantly lower post-implementation than pre-implementation. In interviews, staff said SFH fit with their 2-1-1's mission but expressed concerns about intervention sustainability, time and resources needed for delivery, and how SFH fit into their workflow. Conclusions Sites' SFH implementation experiences were affected both by demands of intervention delivery and by SFH's perceived effectiveness and fit with organizational mission. Future implementation of SFH and other tobacco control programs should address identified barriers by securing ongoing funding, providing dedicated staff time, and ensuring programs fit with staff workflow. Implications Smoke-free home policies reduce exposure to secondhand smoke. Partnering with social service agencies offers a promising way to scale up evidence-based smoke-free home interventions among low-income populations. We found that the SFH intervention was acceptable and feasible among multiple 2-1-1 delivery sites. There were also significant challenges to implementation, including site workflow, desire to adapt the intervention, time needed for intervention delivery, and financial sustainability. Addressing such challenges will aid future efforts to scale up evidence-based tobacco control interventions to social service agencies such as 2-1-1.

The 2-1-1 information and referral helpline connects economically vulnerable Americans with needed health and social services in their communities. This longitudinal study followed a random sample of 2-1-1 callers in Missouri (n=1,235) to determine the results of the referrals they received. One month after calling 2-1-1, most remembered receiving (93%), tried contacting (91%) and reached (82%) at least one referral they received. Far fewer (36%) received assistance from the referral, ranging from 17% for housing assistance to 67% for food assistance. Callers receiving assistance were much more likely than those not receiving assistance to report at 1-month follow-up that their problem had been resolved (OR=3.0, 95% CI=2.2, 4.1), although this was less true among callers with multiple unmet basic needs. Findings explain how 2-1-1 helps callers resolve problems, but also identifies missed opportunities in the current system. Future research could elucidate how 2-1-1 callers resolve problems and find ways to improve outcomes for the most disadvantaged 2-1-1 callers.

The prevailing approach to improving population health focuses on shifting population means through a few targeted and universal interventions. The success of this approach for eliminating health disparities depends on an assumption about the distribution of demand for such interventions. We explored whether long tail thinking from business might yield greater progress in eliminating disparities. We examined 2011 to 2013 data from 513 state and local health agency representatives in 47 states who used an online system to create 4351 small media and client reminder products promoting colorectal cancer screening. Products in the long tail were more likely to target minority groups with higher rates of colorectal cancer and lower rates of screening than Whites. Long tail thinking could help improve the public's health and eliminate disparities.

Blue-collar workers, particularly those in the construction trades, are more likely to smoke and have less success in quitting when compared with white-collar workers. Little is known about health communication strategies that might influence this priority population. This article describes our formative work to develop targeted messages to increase participation in an existing smoking cessation program among construction workers. Using an iterative and sequential mixed-methods approach, we explored the culture, health attitudes and smoking behaviors of unionized construction workers. We used focus group and survey data to inform message development, and applied audience segmentation methods to identify potential subgroups. Among 144 current smokers, 65% reported wanting to quit smoking in the next 6 months and only 15% had heard of a union-sponsored smoking cessation program, despite widespread advertising. We tested 12 message concepts and 26 images with the target audience to evaluate perceived relevance and effectiveness. Participants responded most favorably to messages and images that emphasized family and work, although responses varied by audience segments based on age and parental status. This study is an important step towards integrating the culture of a high-risk group into targeted messages to increase participation in smoking cessation activities.

Purpose– Improving mental health literacy is a key component of any population-based mental health program, especially in low- and middle-income countries. Effective strategies to increase awareness and reduce stigma associated with mental health are sparse and have not been evaluated in India or among other low- and middle-income countries. The paper aims to discuss these issues.Design/methodology/approach– The review was based on the literature obtained from articles identified by searches of Medline, PubMed, and Google (Scholar) with the Mesh terms “mental health literacy”, “developing countries,” and “audience segmentation” between 1979 and 2012. Information was also obtained by interacting with experts in the field of health communication and public health, one of whom (M.K.) is a co-author.Findings– Systematic reviews of studies among occidental countries have proposed that targeted approaches to mental health literacy are not only more effective, but also more cost-effective than general population approaches. Using audience segmentation to target distinct population sub-groups is a well-established best practice in health communication, is recommended for low resource settings and in situations with a limited budget, and may be especially effective when based on socio-cultural variables.Originality/value– Yet to date it has not been applied in India for mental-health-related communication. The need for such cost-effective, innovative, and equitable strategies for mental health literacy is the cornerstone to mitigate stigma associated with mental illness, and improve awareness among a proportionately illiterate population.

Context Implementing the Affordable Care Act (ACA) in 2014 will require effective enrollment and outreach efforts to previously uninsured individuals now eligible for coverage. Methods From 1996 to 2013, the Health Communication Research Laboratory conducted more than 40 original studies with more than 30,000 participants to learn how to improve the reach to and effectiveness of health information for low-income and racial/ethnic minority populations. We synthesized the findings from this body of research and used them to inform current challenges in implementing the ACA. Findings We found empirical support for 5 recommendations regarding partnerships, outreach, messages and messengers, life priorities of low-income individuals and families, and the information environment. We translated these into 12 action steps. Conclusions Health communication science can inform the development and execution of strategies to increase the public's understanding of the ACA and to support the enrollment of eligible individuals into Medicaid or the Health Insurance Marketplace.

By 2014, uninsured adults will be eligible for health insurance through exchanges with multiple plan options. Choosing health insurance is challenging even for those who have engaged in the process previously. We examined 51 uninsured adults’ health insurance knowledge and preferences through semistructured qualitative interviews. Our sample was predominantly low-income and African American. Most had little or no experience with health insurance terminology. Those with limited health literacy skills understood less than those with higher health literacy. Many confused related insurance concepts. Non-health contexts (e.g., car insurance) aided understanding. Premiums, fixed costs, and specific coverage were rated very important to insurance decisions. Our study was one of the first to examine uninsured individuals’ health insurance knowledge and preferences. Uninsured individuals may have different information needs and preferences than those studied in previous research. Clear information and familiar non-health contexts can be important strategies when communicating about the exchanges.

Few studies have examined how diverse populations interpret warning labels. This study examined interpretations of 9 graphic cigarette warning labels (image plus text) proposed by the U.S. Food and Drug Administration among a convenience sample of youth (ages 13-17) and adults (18+) across the United States. Participants (N = 1,571) completed a cross-sectional survey. Participants were asked to select 1 of 3 plausible interpretations (1 preferred vs. 2 alternative) created by the research team about the particular consequence of smoking addressed in each warning label. Participants also rated each label for novelty, counterarguing, perceived effectiveness, and harm. Smokers reported their thoughts of quitting, self-efficacy, and motivation to quit. Although at least 70% of the sample chose the preferred interpretation for 7 of 9 labels, only 13% of participants chose all 9 preferred interpretations. The odds of selecting the preferred interpretation were lower among African Americans, among those with less education, and for labels perceived as being more novel. Smokers reported greater counterarguing and less perceived effectiveness and harms than nonsmokers, but results were not consistent across all labels and interpretations. The alternative interpretations of cigarette warning labels were associated with lower perceived effectiveness and lower perceived harms of smoking, both of which are important for motivating quit attempts.

Background Callers to 2-1-1 have greater need for and lesser use of cancer control services than other Americans. Integrating cancer risk assessment and referrals to preventive services into 2-1-1 systems is both feasible and acceptable to callers. Purpose To determine whether callers will act on these referrals. Methods In a randomized trial, 2-1-1 callers ( n =1200) received standard service and those with at least one cancer risk factor or need for screening were assigned to receive verbal referrals only, verbal referrals + a tailored reminder mailed to their home, or verbal referrals + a telephone health coach/navigator. All data were collected from June 2010 to March 2012 and analyzed in March and April 2012. Results At 1-month follow-up, callers in the navigator condition were more likely to report having contacted a cancer control referral than those receiving tailored reminders or verbal referrals only (34% vs 24% vs 18%, respectively; n =772, p Conclusions Given the extensive reach of 2-1-1s and the elevated risk profile of their callers, even modest response rates could have meaningful impact on population health if proactive health referrals were implemented nationally.