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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.

To utilize focus groups, cognitive interviews, content expert panel, and computer-assisted surveys to develop and pilot survey items assessing exposure to perceived racism-based police violence to enhance the Classes of Racism Frequency of Racial Experiences (CRFRE).Focus groups and cognitive interviews were conducted with Black emerging adults (Participant's qualitative data and suggestions from content experts resulted in the development of 16 additional survey items regarding exposure to perceived racism-based police violence across three domains (victim, witness in person, and seen in media). The modified CRFRE measure showed construct validity, internal reliability, and measurement invariance between men and women.This study advances our epidemiological methodology for quantifying exposure to perceived racism-based police violence. Future research is necessary to assess the prevalence of exposure to perceived racism-based police violence and associated mental and behavioral outcomes for Black emerging adults in the U.S. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

PDF - 133KB, Covariance matrix for currently screened subgroup (n=3,498).

PDF - 133KB, Covariance matrix for overdue subgroup (n=418).

PDF - 134KB, Covariance matrix for never screened subgroup (n=1,277).

Background: Few studies have examined the psychometric properties and invariance of scales measuring constructs relevant to colorectal cancer screening (CRCS). We sought to: (i) evaluate the factorial validity of four core constructs associated with CRCS (benefits, barriers, self-efficacy, and optimism); and (ii) examine measurement invariance by screening status (currently screened, overdue, never screened).Methods: We used baseline survey data from a longitudinal behavioral intervention trial to increase CRCS among U.S. veterans. Respondents were classified as currently screened (n = 3,498), overdue (n = 418), and never screened (n = 1,277). The measurement model was developed using a random half of the sample and then validated with the second half of the sample and the full baseline sample (n = 5,193). Single- and multi-group confirmatory factor analysis was used to examine measurement invariance by screening status.Results: The four-factor measurement model demonstrated good fit. Factor loadings, item intercepts, and residual item variance and covariance were invariant when comparing participants never screened and overdue for CRCS, indicating strict measurement invariance. All factor loadings were invariant among the currently screened and overdue groups. Only the benefits scale was invariant across current screeners and never screeners. Non-invariant items were primarily from the barriers scale.Conclusion: Our findings provide additional support for the construct validity of scales of CRCS benefits, barriers, self-efficacy, and optimism. A greater understanding of the differences between current and never screeners may improve measurement invariance.Impact: Measures of benefits, barriers, self-efficacy, and optimism may be used to specify intervention targets and effectively assess change pre- and post-intervention across screening groups. Cancer Epidemiol Biomarkers Prev; 22(12); 2295–302. ©2013 AACR.

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.

Objectives: To characterize the availability, content, and psychometric properties of self-reported measures that assess race/ethnicity-related discrimination or psychosocial stress and have potential relevance to studies of health disparities in children and adolescents. Design: Using PRISMA extension guidelines for scoping reviews, we searched Ovid Medline, CINAHL, PsychInfo, and Scopus databases from 1946 to April 20, 2020, using the search terms “stress,” “child,” “adolescents,” “discrimination,” and “psychometrics.” We limited the search to articles in English, with children and adolescents, in the United States. For each measure, we extracted information about the content, reliability, and construct validity. Results: The 12 measures that met inclusion criteria assessed discrimination or stress from racial discrimination in African American children and adolescents (n=8), acculturative stress in Hispanic/Latino children (n=1), or bicultural stress in Mexican American adolescents (n=2), and one measure assessed both discrimination-related and acculturative stress in Hispanic/Latino children. The majority (n=7) articles were published between 2001 and 2010. All discrimination measures evaluated individual experiences of discrimination and one also evaluated stressfulness of discrimination and coping. The acculturative stress measures assessed general stress and immigration-related discrimination, and the bicultural stress measures evaluated many different aspects of biculturalism. Conclusions: Despite the recent increased interest in the racial discrimination and stress as a contributor to racial or ethnic health disparities affecting U.S. children and adolescents, the small number of eligible measures identified and incomplete coverage of various types of racial and ethnic discrimination within and across population groups indicates a currently inadequate capacity to conduct child health disparity studies on this issue.

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.

INTRODUCTION: Among individuals with low income, medication cost is a well-established barrier to medication adherence. Spending less on basic needs to pay for medication is a particularly concerning cost-coping strategy and may be associated with worse health outcomes. The aims of this study were (1) to describe the demographic and health status characteristics of those who report spending less on basic needs to pay for medication, and (2) to understand the associated psychosocial and financial challenges of individuals who make these choices. METHODS: We administered a survey to primarily low-income adults (n=270) in St. Louis, Missouri as part of a larger study from 2016–2018. Logistic regression was used to model the odds of reporting spending less on basic needs in order to pay for medication. RESULTS: Spending less on basic needs to pay for medication was significantly more likely in individuals with fair or poor health status (OR = 2.00; 95% CI, 1.03 to 3.93), greater number of chronic conditions (OR = 1.21 per additional 1 condition, 95% CI, 1.06 to 1.40), greater medication expenditure (OR = 1.41 per additional $100; 95% CI, 1.11 to 1.89), and difficulty paying bills (OR = 1.43; 95% CI, 1.11 to 1.85). Individuals who spent less on basic needs were less likely to be fully adherent to their medication regimen (OR = 0.38; 95% CI, 0.18 to 0.77). CONCLUSIONS: Screening for unmet basic needs and offering referrals to social safety net programs in the primary care setting may help patients achieve sustainable medication adherence.

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.

Evidence supports diabetes distress’ (distress hereafter) effect on diabetes self-management. Few studies have examined factors that influence distress. We used self-reported cross-sectional data from Medicaid beneficiaries in Louisiana to examine psychosocial and clinical factors and their associations with distress. The sample (n=345) was mostly female (75%) , age >45 (77%) , Black (65%) , >years since diabetes diagnosis (51%) , had A1c values ≥7.0% (46%) or unknown (30%) , high distress (71%) , ≥1 social needs (94%) , poor self-rated health (68%) , lower stress (54%) and depression (51%) , more social support (56%) , high # of comorbidities (7.3 ± 2.9) and burden (21.2 ± 11.3) , medication adherence challenges (21%) , and moderately strong self-efficacy (56.0 ± 15.1) . Correlations revealed time since diabetes diagnosis (r= -.11, p Disclosure N.Verdecias: None. A.Mcqueen: None. R.E.Smith: n/a. M.Kreuter: None. Funding National Institute of Diabetes and Digestive and Kidney Diseases (R01DK115916)

Cancer risk prediction models such as those published in Cancer Epidemiology, Biomarkers, and Prevention are a cornerstone of precision medicine and public health efforts to improve population health outcomes by tailoring preventive strategies and therapeutic treatments to the people who are most likely to benefit. However, there are several barriers to the effective translation, dissemination, and implementation of cancer risk prediction models into clinical and public health practice. In this commentary, we discuss two broad categories of barriers. Specifically, we assert that the successful use of risk-stratified cancer prevention and treatment strategies is particularly unlikely if risk prediction models are translated into risk assessment tools that (i) are difficult for the public to understand or (ii) are not structured in a way to engender the public's confidence that the results are accurate. We explain what aspects of a risk assessment tool's design and content may impede understanding and acceptance by the public. We also describe strategies for translating a cancer risk prediction model into a cancer risk assessment tool that is accessible, meaningful, and useful for the public and in clinical practice.

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.

Colorectal cancer (CRC) screening is endorsed as an effective preventive health service because it reduces morbidity and mortality from CRC. Regular screening with stool blood tests or sigmoidoscopy facilitates earlier detection of CRC and lowers mortality; screening colonoscopy may also decrease CRC incidence through early detection and removal of precancerous polyps. Most professional organizations recommend that screening begin at age 50 years for those at average risk, and in the United States, about 60% of age-eligible adults are up-to-date with screening. Importantly, prevalence of CRC screening differs by race/ethnicity, educational attainment, and insurance status, with marked disparities in screening among racial/ethnicity minorities and the uninsured. Recent CRC screening interventions have focused on mailed outreach, patient navigation, and offering a choice of screening test, and many studies have been conducted in large, integrated healthcare systems or federally qualified health centers. In these settings, mailed outreach and patient navigation, particularly in the context of multicomponent interventions, increased CRC screening (e.g., absolute increase of 28% across trials of mailed outreach). Moving forward, CRC screening interventions must include more than one-time screening and involve a series of coordinated steps, from initial screening to diagnostic evaluation to treatment of any detected lesions. Patient navigation and mailed outreach have been the most extensively tested interventions for increasing screening. Patient navigation appears to have a similar impact on follow-up of abnormal test results. Broad implementation of either of these strategies may bring the current screening prevalence of 60% closer to the national goal of 80%.

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.

BACKGROUND Internet-based risk assessment tools offer a potential avenue for people to learn about their cancer risk and adopt risk-reducing behaviors. However, little is known about whether internet-based risk assessment tools adhere to scientific evidence for what constitutes good risk communication strategies. Furthermore, their quality may vary from a user experience perspective. OBJECTIVE This study aims to understand the extent to which current best practices in risk communication have been applied to internet-based cancer risk assessment tools. METHODS We conducted a search on August 6, 2019, to identify websites that provided personalized assessments of cancer risk or the likelihood of developing cancer. Each website (N=39) was coded according to standardized criteria and focused on 3 categories: general website characteristics, accessibility and credibility, and risk communication formats and strategies. RESULTS Some best practices in risk communication were more frequently adhered to by websites. First, we found that undefined medical terminology was widespread, impeding comprehension for those with limited health literacy. For example, 90% (35/39) of websites included technical language that the general public may find difficult to understand, yet only 23% (9/39) indicated that medical professionals were their intended audience. Second, websites lacked sufficient information for users to determine the credibility of the risk assessment, making it difficult to judge the scientific validity of their risk. For instance, only 59% (23/39) of websites referenced the scientific model used to calculate the user’s cancer risk. Third, practices known to foster unbiased risk comprehension, such as adding qualitative labels to quantitative numbers, were used by only 15% (6/39) of websites. CONCLUSIONS Limitations in risk communication strategies used by internet-based cancer risk assessment tools were common. By observing best practices, these tools could limit confusion and cultivate understanding to help people make informed decisions and motivate people to engage in risk-reducing behaviors.

Background: Internet-based risk assessment tools offer a potential avenue for people to learn about their cancer risk and adopt risk-reducing behaviors. However, little is known about whether internet-based risk assessment tools adhere to scientific evidence for what constitutes good risk communication strategies. Furthermore, their quality may vary from a user experience perspective. Objective: This study aims to understand the extent to which current best practices in risk communication have been applied to internet-based cancer risk assessment tools. Methods: We conducted a search on August 6, 2019, to identify websites that provided personalized assessments of cancer risk or the likelihood of developing cancer. Each website (N=39) was coded according to standardized criteria and focused on 3 categories: general website characteristics, accessibility and credibility, and risk communication formats and strategies. Results: Some best practices in risk communication were more frequently adhered to by websites. First, we found that undefined medical terminology was widespread, impeding comprehension for those with limited health literacy. For example, 90% (35/39) of websites included technical language that the general public may find difficult to understand, yet only 23% (9/39) indicated that medical professionals were their intended audience. Second, websites lacked sufficient information for users to determine the credibility of the risk assessment, making it difficult to judge the scientific validity of their risk. For instance, only 59% (23/39) of websites referenced the scientific model used to calculate the user’s cancer risk. Third, practices known to foster unbiased risk comprehension, such as adding qualitative labels to quantitative numbers, were used by only 15% (6/39) of websites. Conclusions: Limitations in risk communication strategies used by internet-based cancer risk assessment tools were common. By observing best practices, these tools could limit confusion and cultivate understanding to help people make informed decisions and motivate people to engage in risk-reducing behaviors.

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)

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.

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.

Most girls experience a notable decline in physical activity (PA) in early adolescence, increasing their risk for harmful health outcomes. Enjoyment for PA (i.e., positive feelings toward PA) is a determinant of PA among girls during adolescence and sustained PA throughout adulthood. Previous studies recommended increasing girls’ PA enjoyment in order to increase their PA, but did not include environmental-level strategies for how families, schools, or communities do this. To gain insight on such strategies, this study examines the role of PA enjoyment as a mediator of social and physical environments to moderate-to-vigorous intensity PA of early adolescent girls. Cross-sectional, secondary analyses, using structural equation modeling, were conducted on a U.S. national dataset of 1,721 sixth grade girls from the Trial of Activity for Adolescent Girls in 2003. Mediation model fit parameters included χ(2) (292, N=1721)= 947.73 p < .001, CFI=0.95, RMSEA=0.04 (90% CI=0.03, 0.04), and SRMR=0.037 suggesting overall good fit. There were no indirect effects on PA through PA enjoyment from the social or physical environmental factors. To PA, there were significant direct effects only from social support from friends (β=.15, CI=0.09,0.22). To PA enjoyment, there were significant direct effects from social support from family (β=.15, CI=0.08,0.23), school climate (teachers β=.15, CI=0.10,0.21) boys β=.15, CI=0.09,0.20), and neighborhood environment (β=.10, CI=0.04,0.17). The findings of this study identified several direct effects of the social and physical environment on PA enjoyment that can begin to inform environmental-level strategies for increasing PA enjoyment among early adolescent girls.

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.

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.