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

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

Diabetes distress in a Medicaid sample: The role of psychosocial and health-related factors.

AIMS: Diabetes-related distress can negatively affect disease management leading to worse complications, especially among marginalized populations. Prior studies mostly focus on distress' impact on diabetes outcomes, with few examining distress predictors. The current study examined the impact of social needs on distress on its own and after controlling for other socio-demographic, psychosocial, and health factors. METHODS: Adult Medicaid beneficiaries with type 2 diabetes and a recent HbA1c test documented in claims data (<120 days) were recruited for a 12-month social needs intervention trial. Baseline survey data assessed diabetes distress, social needs, psychosocial factors and health factors. Descriptive statistics were obtained, and bivariate and multivariable logistic regression analyses were used to identify predictors of moderate to severe distress. RESULTS: Bivariate analyses revealed social needs, stress, depression, comorbidity and comorbidity burden, poor self-rated health, insulin use, a self-reported HbA1c ≥ 9.0, and difficulty remembering to take diabetes medications were all positively associated with greater odds of diabetes distress; greater social support, diabetes self-efficacy, and age were negatively associated. Four variables remained significant in the multivariate model: depression, diabetes self-efficacy, self-reported HbA1c ≥ 9.0, and younger age. CONCLUSIONS: Targeted distress screening efforts might prioritize people with HbA1c values >9.0, greater depression, and worse diabetes self-efficacy.

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

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

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

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

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

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

Social Needs Are Associated With Greater Anticipated Needs During an Emergency and Desire for Help in Emergency Preparedness Planning.

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.

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

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

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

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

Associations among social needs, health and healthcare utilization, and desire for navigation services among US Medicaid beneficiaries with type 2 diabetes.

The purpose of this study was to better understand the number and types of social needs experienced by Medicaid beneficiaries with type 2 diabetes, and how their social needs are associated with key health indicators. Also examined were factors that influence patients' interest in navigation services for health and social needs to inform future interventions and service delivery. The study expands upon prior research, much of which has focused on only one social need (e.g., food insecurity) or one health outcome. The hypothesis was that among individuals with type 2 diabetes, those with a greater number of social needs would report more health-related problems and be more interested in receiving social needs navigation services. Participants completed a cross-sectional survey by phone (n = 95) or online (n = 14). Most (85%) reported having at least one social need (M = 2.5, SD = 2.2), most commonly not having enough money for unexpected expenses (68%) or necessities like food, shelter and clothing (31%), medical costs (24%), and utilities (23%). Results supported our comprehensive conceptual model. Having more social needs was associated with greater perceived stress, diabetes distress, problems with sleep and executive and cognitive functioning, less frequent diabetes self-care activities, more days of poor mental health and activity limitations, worse self-reported health and more hospitalisations. Number of social needs also was positively associated with interest in having a social needs navigator. Social needs were not associated with days of poor physical health, BMI, self-reported A1C or smoking status. Social needs were associated with a wide range of indicators of poor health and well-being. Participants with the greatest social need burden were most open to intervention.

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

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

Assessing Racial and Ethnic Discrimination in Children: A Scoping Review of Available Measures for Child Health Disparities Research.

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.

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

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

Medication Adherence and Characteristics of Patients Who Spend Less on Basic Needs to Afford Medications.

INTRODUCTION: Among individuals with low income, 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 these individuals. METHODS: We administered a survey to primarily low-income adults (n = 270) in St. Louis, MO, as part of a larger study from 2016 to 2018. Logistic regression was used to model odds of reporting spending less on basic needs 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, greater number of chronic conditions, greater medication expenditure, and difficulty paying bills. Individuals who spent less on basic needs were less likely to be fully adherent to their medication regimen. 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.

Social Needs, Chronic Conditions, and Health Care Utilization among Medicaid Beneficiaries.

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.

Adherence of Internet-Based Cancer Risk Assessment Tools to Best Practices in Risk Communication: Content Analysis.

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.

Cervical cancer risk and screening among women seeking assistance with basic needs.

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.

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

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

How Do Social Needs Cluster Among Low-Income Individuals?

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

Translating Cancer Risk Prediction Models into Personalized Cancer Risk Assessment Tools: Stumbling Blocks and Strategies for Success.

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.