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Background: Some cancer survivors experience medical financial hardship, which may reduce their food security. The purpose of this study was to explore whether medical financial hardship is related to food security among cancer survivors. Methods: The study was based on cross-sectional data from the 2020 National Health Interview Survey. We used ordinal logistic regression to examine the relationship between material, psychological, and behavioral medical financial hardships and household food security (i.e., high, marginal, low, or very low) among individuals ages ≥18 years who reported a cancer diagnosis from a health professional (N = 4,130). Results: The majority of the sample reported high household food security (88.5%), with 4.8% reporting marginal, 3.6% reporting low, and 3.1% reporting very low household food security. In the adjusted model, the odds of being in a lower food security category were higher for cancer survivors who had problems paying or were unable to pay their medical bills compared with those who did not [OR, 1.73; 95% confidence interval (CI), 1.06–2.82, P = 0.027], who were very worried about paying their medical bills compared with those who were not at all worried (OR, 2.88; 95% CI, 1.64–5.07; P < 0.001), and who delayed medical care due to cost compared with those who did not (OR, 2.56; 95% CI, 1.29–5.09; P = 0.007). Conclusions: Food insecurity is rare among cancer survivors. However, medical financial hardship is associated with an increased risk of lower household food security among cancer survivors. Impact: A minority of cancer survivors experience medical financial hardship and food insecurity; social needs screenings should be conducted.

Supplementary Table 2 shows the results of the analysis exploring the moderating effect of a cancer history on the relationship between medical financial hardship and food security among cancer survivors and individuals without a cancer history.

Background:Some cancer survivors experience medical financial hardship, which may reduce their food security. The purpose of this study was to explore whether medical financial hardship is related to food security among cancer survivors.Methods:The study was based on cross-sectional data from the 2020 National Health Interview Survey. We used ordinal logistic regression to examine the relationship between material, psychological, and behavioral medical financial hardships and household food security (i.e., high, marginal, low, or very low) among individuals ages ≥18 years who reported a cancer diagnosis from a health professional (N = 4,130).Results:The majority of the sample reported high household food security (88.5%), with 4.8% reporting marginal, 3.6% reporting low, and 3.1% reporting very low household food security. In the adjusted model, the odds of being in a lower food security category were higher for cancer survivors who had problems paying or were unable to pay their medical bills compared with those who did not [OR, 1.73; 95% confidence interval (CI), 1.06–2.82, P = 0.027], who were very worried about paying their medical bills compared with those who were not at all worried (OR, 2.88; 95% CI, 1.64–5.07; P < 0.001), and who delayed medical care due to cost compared with those who did not (OR, 2.56; 95% CI, 1.29–5.09; P = 0.007).Conclusions:Food insecurity is rare among cancer survivors. However, medical financial hardship is associated with an increased risk of lower household food security among cancer survivors.Impact:A minority of cancer survivors experience medical financial hardship and food insecurity; social needs screenings should be conducted.

Supplementary Table 1 provides descriptive statistics of the characteristics of the sample of individuals without a cancer history.

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.

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.

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.

It is widely acknowledged that cancer affects not only patients but also their friends and family members who provide informal, and typically unpaid, care. Given the dual impact that cancer often has on patients and their informal caregivers (i.e., family members, partners, or friends), an expanded dyadic framework that encompasses a range of health and psychosocial outcomes and includes primary caregivers with a range of relationships to the patients is critically needed. Moreover, an emphasis on the role of social and contextual factors may help the framework resonate with a broader range of patient-caregiver relationships and allow for the development of more effective dyadic interventions. This article describes the development of the Dyadic Cancer Outcomes Framework, which was created to guide future research and intervention development. Using an iterative process, we conducted a conceptual review of currently used dyadic and/or caregiving models and frameworks and developed our own novel dyadic framework. Our novel Dyadic Cancer Outcomes Framework highlights individual- and dyad-level predictors and outcomes, as well as incorporating the disease trajectory and the social context. This framework can be used in conjunction with statistical approaches including the Actor Partner Interdependence Model to evaluate outcomes for different kinds of partner-caregiver dyads. This flexible framework can be used to guide intervention development and evaluation for cancer patients and their primary caregivers, with the ultimate goal of improving health, psychosocial, and relationship outcomes for both patients and caregivers. Future research will provide valuable information about the framework's effectiveness for this purpose.

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.

e18534 Background: Mammography screening significantly reduces breast-cancer related mortality; however, many women fail to undergo screening as recommended by national guidelines. No-shows are responsible for a significant proportion of delayed or missed cancer screening exams. Further, no-shows disproportionately affect underserved and minority populations. We previously identified a high no-show rate for screening mammograms among patients seeking care our institution. African American (AA) women were almost three times more likely to no-show than non-Hispanic white women. The racial disparity in no-shows persisted after adjustment for socioeconomic factors. The objective of this survey study was to identify reasons for missed mammogram screening appointments among AA women. Methods: We conducted a survey (via mail or telephone) of AA women who missed their screening mammogram appointment in summer 2021. Using a structured survey instrument, we collected information on patient-specific and health service barriers. Patient-specific barriers included procedure-related concerns (e.g., concern about discomfort), cognitive-emotional factors (e.g., fear of finding cancer), and changes in health status. Health service barriers included logistical factors (e.g., transportation), cost (e.g., lack of insurance) and scheduling problems (e.g., forgot about appointment or scheduled at an inconvenient time). Here we describe the most common reasons for missed appointments and compared women who reported patient-specific versus health service barriers. Results: 255 women who no-showed for their appointment were contacted and 91 participated in the study survey (35.6% response rate). Most respondents (90%) attributed their no-show to at least one of the listed barriers. Nineteen (7.5%) attributed their no-show to COVID-19, but only 1 person reported this as their only barrier. Scheduling issues were the most commonly reported barriers (57.8%), followed by transportation (38.9%). Three-quarters of respondents reported health service barriers, while only 40.7% reported patient-related barriers. The most common patient-related barriers were cognitive-emotional (25%), changes in health status (20.9%) and procedure-related concerns (15.6%). The majority of respondents (82.6%) were interested in rescheduling their mammogram. Conclusions: Most appointment no-shows among surveyed AA women resulted from potentially preventable scheduling and transportation issues. Relatively few respondents reported cognitive-emotional or procedure-related concerns. Further, the majority of respondents were interested in rescheduling their mammogram; which suggests that these women remain motivated to undergo breast cancer screening. Programs which address preventable health-service related issues may help these women keep their appointments.

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.

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

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

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

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

We examined the relationship between social isolation and health among parents and their adolescent children. Data came from the 2014 Family Life, Activity, Sun, Health, and Eating Study (FLASHE), a cross-sectional internet study from the National Cancer Institute. Parents and their adolescent children (ages 12–17) completed surveys about demographics, physical activity, and diet; analyses include all dyads in which at least one member provided information for any of the analyzed variables (N = 1851). Actor Partner Interdependence Models in Mplus with demographic covariates tested whether parent and adolescent perceived social isolation (2 items from the UCLA Loneliness Scale) were associated with each person’s self-reported health. Most dyads included a mother (38% mother–daughter, 36% mother–son). Most parents were non-Hispanic White (69%), married/partnered (77%), and reported household income below $100,000 (79%). Both social isolation and self-reported health were significantly correlated between parents and their adolescent children (Pearson correlation = .38 for isolation, .32 for health). There were negative associations between parent isolation and parent health, adolescent isolation and adolescent health, and parent isolation and adolescent health (all ps

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.

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

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

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.

Youth in foster care are more likely to experience health problems such as asthma compared to youth who are not in foster care. Data from a longitudinal study of youth in out-of-home care in one Midwestern metropolitan area were used to examine the association between placement-related factors and receiving treatment for asthma. Controlling for sociodemographic characteristics, youth who experienced more than one asthma spell, who were African American, or who had an internalizing mental health diagnosis were at increased risk of asthma. The finding that placement-related factors are associated with asthma in foster care youth raises implications for health service delivery.

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.

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.

Rationale Low social support has been linked to negative health outcomes in breast cancer patients. Objective We examined associations between perceived social support, neighborhood socioeconomic deprivation, and neighborhood-level social support in early-stage breast cancer patients and controls. Methods This two-year longitudinal study in the United States included information collected from telephone interviews and clinical records of 541 early-stage patients and 542 controls recruited from 2003 to 2007. Social support was assessed using the Medical Outcomes Study Social Support Survey (MOS-SS). Residential addresses were geocoded and used to develop measures including neighborhood social support (based on MOS-SS scores from nearby controls) and neighborhood socioeconomic deprivation (a composite index of census tract characteristics). Latent trajectory models were used to determine effects of neighborhood conditions on the stable (intercept) and changing (slope) aspects of social support. Results In a model with only neighborhood variables, greater socioeconomic deprivation was associated with patients' lower stable social support (standardized estimate = −0.12, p = 0.027); neighborhood-level social support was associated with social support change (standardized estimate = 0.17, p = 0.046). After adding individual-level covariates, there were no direct neighborhood effects on social support. In patients, neighborhood socioeconomic deprivation was associated with support indirectly through marriage, insurance status, negative affect, and general health. In controls, neighborhood socioeconomic deprivation was associated with support indirectly through marriage ( p Conclusion Indirect effects of neighborhood socioeconomic deprivation on social support differed in patients and controls. Psychosocial and neighborhood interventions may help patients with low social support, particularly patients without partnered relationships in deprived areas.

Rationale Intimate partners and other informal caregivers provide unpaid tangible, emotional, and decision-making support for patients with cancer, but relatively little research has investigated the cancer experiences of sexual minority women (SMW) with cancer and their partners/caregivers. Objective This review addressed 4 central questions: 1) What social support do SMW with cancer receive from partners/caregivers? 2) What effect does cancer have on intimate partnerships or caregiving relationships of SMW with cancer? 3) What effects does cancer have on partners/caregivers of SMW with cancer? 4) What interventions exist to support partners/caregivers of SMW or to strengthen the patient-caregiver relationship? Method This systematic review, conducted in 2018 and updated in 2020, was based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Two independent coders screened abstracts and articles. Results In total, 550 unique records were screened; 42 articles were assessed for eligibility, and 18 were included in a qualitative synthesis. Most studies were U.S.-based, involved breast cancer, included intimate partners, had primarily white/Caucasian samples, and were cross-sectional. Sexual minority female participants reported that partners/caregivers often provide important social support, including emotional support, decision-making support, and tangible support. Effects of cancer on relationships with partners/caregivers were mixed, with some studies finding relationships remained stable and others finding cancer either increased closeness or disrupted relationships. Participants reported partners/caregivers often experience distress and may experience discrimination, discomfort disclosing sexual orientation, and a lack of sexual minority-friendly services. No studies involved an intervention targeting partners/caregivers or the dyadic relationship. Conclusions More work is needed to understand SMW with cancers other than breast cancer, and future work should include more racially, ethnically, and economically diverse samples. Longitudinal research will allow an examination of patterns of mutual influence and change in relationships. These steps will enable the development of interventions to support SMW with cancer and people close to them.

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.

Public health initiatives encourage the public to discuss and record family health history information, which can inform prevention and screening for a variety of conditions. Most research on family health history discussion and collection, however, has predominantly involved White participants and has not considered lay definitions of family or family communication patterns about health. This qualitative study of 32 African American women-16 with a history of cancer-analyzed participants' definitions of family, family communication about health, and collection of family health history information. Family was defined by biological relatedness, social ties, interactions, and proximity. Several participants noted using different definitions of family for different purposes (e.g., biomedical vs. social). Health discussions took place between and within generations and were influenced by structural relationships (e.g., sister) and characteristics of family members (e.g., trustworthiness). Participants described managing tensions between sharing health information and protecting privacy, especially related to generational differences in sharing information, fear of familial conflict or gossip, and denial (sometimes described as refusal to "own" or "claim" a disease). Few participants reported that anyone in their family kept formal family health history records. Results suggest family health history initiatives should address family tensions and communication patterns that affect discussion and collection of family health history information.

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.

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.

There is no consensus on how best to assess the health literacy demands of health information materials. Comprehensive, reliable, and valid assessment tools are needed. The authors report on the development, refinement, and testing of Health Literacy INDEX, a new tool reflecting empirical evidence and best practices. INDEX is comprised of 63 indicators organized into 10 criteria: plain language, clear purpose, supporting graphics, user involvement, skill-based learning, audience appropriateness, user instruction, development details, evaluation methods, and strength of evidence. In a sample of 100 materials, intercoder agreement was high: 90% or better for 52% of indicators, and above 80% for nearly all others. Overall scores generated by INDEX were highly correlated with average ratings from 12 health literacy experts (r = 0.89, p < .0001). Additional research is warranted to examine the association between evaluation ratings generated by INDEX and individual understanding, behaviors, and improved health. Health Literacy INDEX is a comprehensive tool with evidence for reliability and validity that can be used to evaluate the health literacy demands of health information materials. Although improvement in health information materials is just one aspect of mitigating the effects of limited health literacy on health outcomes, it is an essential step toward a more health literate public.

The National Lung Screening Trial (NLST) is a randomized multicenter study comparing low-dose helical computed tomography (CT) with chest radiography in the screening of older current and former heavy smokers for early detection of lung cancer, which is the leading cause of cancer-related death in the United States. Five-year survival rates approach 70% with surgical resection of stage IA disease; however, more than 75% of individuals have incurable locally advanced or metastatic disease, the latter having a 5-year survival of less than 5%. It is plausible that treatment should be more effective and the likelihood of death decreased if asymptomatic lung cancer is detected through screening early enough in its preclinical phase. For these reasons, there is intense interest and intuitive appeal in lung cancer screening with low-dose CT. The use of survival as the determinant of screening effectiveness is, however, confounded by the well-described biases of lead time, length, and overdiagnosis. Despite previous attempts, no test has been shown to reduce lung cancer mortality, an endpoint that circumvents screening biases and provides a definitive measure of benefit when assessed in a randomized controlled trial that enables comparison of mortality rates between screened individuals and a control group that does not undergo the screening intervention of interest. The NLST is such a trial. The rationale for and design of the NLST are presented.