Repeated Exposure to COVID-19 Misinformation: A Longitudinal Analysis of Prevalence and Predictors in a Community Sample.

Belief in health misinformation can affect individual health decisions and actions. Repeated exposure to the same misinformation strengthens its impact, yet little is known about how commonly repeated exposure occurs. To estimate the prevalence, we tracked exposure to 5 inaccurate COVID-19 claims every week for up to 23 consecutive weeks in a racially diverse panel of adults (n = 213). Repeated exposure was common: across the 5 claims, 10%-43% of respondents reported hearing the misinformation in ≥ 3 different weeks. Frontline workers were more likely than other community members to experience repeated exposure, with adjusted incidence rate ratios (IRRs) ranging from 1.8 to 4.9 across the 4 items. Repeated exposure was most common among older adults. Adjusted IRR for those ages ≥ 50 versus 18-29 years ranged from 1.8 to 2.5 per misinformation claim. Public health planning efforts to counter health misinformation should anticipate multiple exposures to the same false claim, especially in certain subgroups.

What Do Medicaid Members Want From Their Health Plan? Insights From a Qualitative Study to Improve Engagement in Case Management.

PURPOSE OF STUDY: Managed care organizations (MCOs) provide case management services to address unmet health and social needs among their members. Few studies have examined factors influencing members' decision to participate in these programs. The purpose of the present study was to describe the life circumstances of Medicaid members offered case management, what they wanted from their MCO, and their perceptions of case management and barriers to participation. Results will inform practice to raise the awareness, engagement, and impact of case management programs. PRIMARY PRACTICE SETTINGS: Case management offered through a Midwestern Medicaid MCO. METHODOLOGY AND SAMPLE: Adult members who had been offered case management services in the 6 months preceding the study were eligible for the study. Fifteen people from each strata were recruited: members who engaged with case management, declined it, or declined it initially but later engaged (N = 45). Participants completed a qualitative interview by phone and a brief health survey online. RESULTS: Across strata, only 22 participants recalled engagement with case management. Members described a variety of life challenges (e.g., chronic health conditions, caregiver responsibilities, and limited finances) and services they desired from their MCO (e.g., stipends for over-the-counter health expenses, improved transportation services, and caregiver assistance). Participants identified direct communication, emotional support, and referrals for resources as benefits of case management.

Addressing COVID-19 Vaccine Hesitancy With Community Distribution of Conversation Cards.

To increase community conversations about COVID-19 vaccine hesitancy, we distributed vaccine cardholders and conversation cards to 6000 newly vaccinated adults at vaccination sites and encouraged them to talk with unvaccinated friends and family members. In 257 onsite exit interviews, we found that cardholders and conversation cards were well liked, and most recipients expected to use them. Follow-up surveys two weeks later showed that 51% of respondents used a card to start a conversation and 41% gave a card to an unvaccinated friend or family member. (Am J Public Health. 2024;114(S1):S87-S91. https://doi.org/10.2105/AJPH.2023.307481).

Outreach to Low-Income Homebound Older Adults to Increase Access to COVID-19 Self-Test Kits, Missouri, 2022.

COVID-19 self-test kits were distributed to low-income, older adults (n = 2532) with their home-delivered or congregate meals in May 2022. Later, a convenience sample (n = 1108) were contacted for follow-up, and 606 (55%) were reached. Among 79% who remembered getting the test, only 34% already had a test kit, but nearly all liked receiving it (91%) and reported they would use or had used it (93%). Partnering with meal-delivery service providers was feasible to increase access to COVID-19 self-tests for low-income older adults. (Am J Public Health. 2024;114(S1):S65-S68. https://doi.org/10.2105/AJPH.2023.307485).

An Exploratory Qualitative Analysis of Explanations for COVID-19-Related Racial Disparities Among St. Louis Residents: "I Don't Really Pay Attention to the Racial Stuff Very Much".

Introduction: Public health explanations for the disproportionate share of COVID-19-related illness and death among the Black population often differ from lay explanations, which can affect the public's support for policies that address these disparities. This qualitative exploratory study examined the explanatory frameworks for COVID-19-related racial disparities in St. Louis among 54 St. Louis residents. Methods: From August 16, 2021, through May 20, 2022, we conducted semistructured interviews among a convenience sample of 54 St. Louis residents about their experiences during the COVID-19 pandemic. Directed content analysis identified participants' explanatory frameworks for racial disparities in COVID-19-related illness and death. We disaggregated coded excerpts by race, age, education, and income to examine emerging themes. Results: Lay explanatory frameworks for racial disparities in COVID-19 included vaccine mistrust, lack of personal responsibility, low perceived susceptibility to COVID-19, pre-existing conditions or genetic predisposition, institutional racism, barriers to care, low socioeconomic status, insufficient information on COVID-19, and the inability to work remotely. Black interview participants addressed issues of systemic racism, inequitable allocation of COVID-19 vaccines, and institutional mistrust, whereas White participants did not directly acknowledge the role of racism. Both Black and White participants identified lack of personal responsibility among young Black people as a source of these disparities. Conclusion: This work identifies a need for improved health communication about racial disparities in COVID-19-related illness and death. Messaging that highlights racism may be less effective among the White population than the Black population in the US, whereas narratives that include the theme of individual choice may appeal broadly. Further research is needed on the use of communication strategies based on lay individuals' explanatory frameworks for COVID-19-related racial disparities to enhance support for equitable public policy.

iHeard STL: Development and first year findings from a local surveillance and rapid response system for addressing COVID-19 and other health misinformation.

BACKGROUND: The U.S. Surgeon General and others have emphasized a critical need to address COVID-19 misinformation to protect public health. In St. Louis, MO, we created iHeard STL, a community-level misinformation surveillance and response system. This paper reports methods and findings from its first year of operation. METHODS: We assembled a panel of over 200 community members who answered brief, weekly mobile phone surveys to share information they heard in the last seven days. Based on their responses, we prioritized misinformation threats. Weekly surveillance data, misinformation priorities, and accurate responses to each misinformation threat were shared on a public dashboard and sent to community organizations in weekly alerts. We used logistic regression to estimate odds ratios (ORs) for associations between panel member characteristics and misinformation exposure and belief. RESULTS: In the first year, 214 panel members were enrolled. Weekly survey response rates were high (mean = 88.3% ± 6%). Exposure to a sample of COVID-19 misinformation items did not differ significantly by panel member age category or gender; however, African American panel members had significantly higher reported odds of exposure and belief/uncertain belief in some misinformation items (ORs from 3.4 to 17.1) compared to white panel members. CONCLUSIONS: Our first-year experience suggests that this systematic, community-based approach to assessing and addressing misinformation is feasible, sustainable, and a promising strategy for responding to the threat of health misinformation. In addition, further studies are needed to understand whether structural factors such as medical mistrust underly the observed racial differences in exposure and belief.

Trusted sources for COVID-19 testing and vaccination: lessons for future health communication.

BACKGROUND: Promoting COVID-19 vaccination (both the primary series and boosters) remains a priority among healthcare professionals and requires understanding the various sources people trust for acquiring COVID-19 information. METHOD: From October 2021 to May 2022, we interviewed 150 people who called 2-1-1 helplines in Connecticut and North Carolina about their COVID-19 testing and vaccination experiences in order to (1) better understand where people obtain trusted COVID-19 health information and (2) identify how public health professionals can share emergency health information in the future. We used a mixed methods approach in which semi-structured qualitative interviews and survey data were collected in parallel and analyzed separately. RESULTS: Participants were mostly female (74.0%), Black (43.3%) or White (38.0%), and had a high school degree or higher (88.0%). Most had prior COVID-19 testing experience (88.0%) and were vaccinated (82.7%). A variety of information sources were rated as being very trustworthy including medical professionals and social service organizations. We found that repetition of information from multiple sources increased trust; however, perceived inconsistencies in recommendations over time eroded trust in health communication, especially from government-affiliated information sources. Observations such as seeing long lines for COVID-19 testing or vaccination became internalized trusted information. CONCLUSIONS: Public health professionals can leverage the reach and strong community ties of existing, reputable non-government organizations, such as physician groups, schools, and pharmacies, to distribute COVID-19 information about vaccination and testing.

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.

When do people increase COVID-19 protective behaviors? A longitudinal analysis of the impact of infections among close contacts and in the community.

Studies examining individual-level changes in protective behaviors over time in association with community-level infection and self or close-contact infection with SARS-CoV-2 are limited. We analyzed overall and demographic specific week-to-week changes in COVID-19 protective behaviors and their association with COVID-19 infections (regional case counts and self or close contacts). Data were collected through 37 consecutive weekly surveys from 10/17/2021 - 6/26/2022. Our survey panel included 212 individuals living or working in St. Louis City and County, Missouri, U.S.A. Frequency of mask-wearing, handwashing, physical distancing, and avoiding large gatherings was self-reported (more/the same/less than the prior week). Close contact with COVID-19 was reported if the panel member, their household member, or their close contact tested positive, got sick, or was hospitalized for COVID-19 in the prior week. Regional weekly COVID-19 case counts were matched to the closest survey administration date. We used generalized linear mixed models to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations. Evidence for effect modification was assessed using the likelihood ratio test. Increased protective behaviors were positively associated with COVID-19 case counts (ORhighest vs. lowest case count category = 4.39, 95% CI 3.35-5.74) and with participant-reported self or close contacts with COVID-19 (OR = 5.10, 95% CI 3.88-6.70). Stronger associations were found for White vs. Black panel members (p <.0001). Individuals modulated their protective behaviors in association with regional COVID-19 case counts and self or close contact infection. Rapid reporting and widespread public awareness of infectious disease rates may help reduce transmission during a pandemic by increasing protective behaviors.

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).

Appeal of Tobacco Quitline Services Among Low-Income Smokers.

INTRODUCTION: State tobacco quitlines are delivering cessation assistance through an increasingly diverse range of channels. However, offerings vary from state to state, many smokers are unaware of what is available, and it is not yet clear how much demand exists for different types of assistance. In particular, the demand for online and digital cessation interventions among low-income smokers, who bear a disproportionate burden of tobacco-related disease, is not well understood. METHODS: We examined interest in using 13 tobacco quitline services in a racially diverse sample of 1,605 low-income smokers in 9 states who had called a 2-1-1 helpline and participated in an ongoing intervention trial from June 2020 through September 2022. We classified services as standard (used by ≥90% of state quitlines [eg, calls from a quit coach, nicotine replacement therapy, printed cessation booklets]) or nonstandard (mobile app, personalized web, personalized text, online chat with quit coach). RESULTS: Interest in nonstandard services was high. Half or more of the sample reported being very or somewhat interested in a mobile app (65%), a personalized web program (59%), or chatting online with quit coaches (49%) to help them quit. In multivariable regression analyses, younger smokers were more interested than older smokers in digital and online cessation services, as were women and smokers with greater nicotine dependence. CONCLUSION: On average, participants were very interested in at least 3 different cessation services, suggesting that bundled or combination interventions might be designed to appeal to different groups of low-income smokers. Findings provide some initial hints about potential subgroups and the services they might use in a rapidly changing landscape of behavioral interventions for smoking cessation.

Understanding Associations of Personal Values With Support for Tobacco and Alcohol Control Policies.

INTRODUCTION: This cross-sectional analysis of the 2020 Health Information National Trends Survey (N=3,604) examines the associations of personal values with tobacco and alcohol control policy support, which may inform policy-related communication efforts. METHODS: Respondents selected which of 7 value options they considered most important in their daily life and rated their support for 8 proposed tobacco and alcohol control policies (1=strongly oppose, 5=strongly support). Weighted proportions for each value were described across sociodemographic characteristics, smoking status, and alcohol use. Weighted bivariate and multivariable regressions tested the associations of values with mean policy support (alpha=0.89). Analyses occurred from 2021 to 2022. RESULTS: The most frequently selected values were assuring my family is safe and secure (30.2%), being happy (21.1%), and making my own decisions (13.6%). Selected values varied across sociodemographic and behavioral characteristics. For example, people with lower education and incomes were overrepresented among those selecting making my own decisions and keeping myself in good health. After adjusting for sociodemographics, smoking, and alcohol use, people selecting family safety (ß=0.20, 95% CI=0.06, 0.33) or religious connection (ß=0.34, 95% CI=0.14, 0.54) as most important reported higher policy support than those selecting making their own decisions, the value associated with the lowest mean policy support. Mean policy support did not significantly differ across any other value comparisons. CONCLUSIONS: Personal values are associated with support for alcohol and tobacco control policies, with making my own decisions associated with the lowest policy support. Future research and communication efforts may consider aligning tobacco and alcohol control policies with the idea of supporting autonomy.

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.

Factors associated with initiation and continuation of endocrine therapy in women with hormone receptor-positive breast cancer.

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

Low housing quality, unmet social needs, stress and depression among low-income smokers.

Smokers are at greater risk of multiple health conditions that are exacerbated by environmental hazards associated with low housing quality. However, little is known about the prevalence of low housing quality among low-income smokers. Using correlations and logistic regression, we examined associations among eight housing quality indicators - pests, water leaks, mold, lead paint, and working smoke detectors, appliances, heating, and air conditioning - and between housing quality and social needs, depressive symptoms, perceived stress, sleep problems, and self-rated health in a community-based sample of 786 low-income smokers from 6 states. Most participants were female (68%), and White (45%) or African-American (43%). One in four (27%) completed less than high school education, and 41% reported annual pre-tax household income of less than $10,000. Housing quality problems were common. Most participants (64%) reported at least one problem in their home, and 41% reported two or more problems, most commonly pest infestations (40%), water leaks (22%), lack of air conditioning (22%) and mold (18%). Lack of heat and air conditioning were correlated, as were water leaks and mold. Using logistic regression analyses controlling for participant demographic characteristics, we found that reporting more housing quality problems was associated with greater odds of worse mental and physical health outcomes. Multiple health threats, including housing quality, depressive symptoms, stress, poor sleep, and financial strain may be mutually reinforcing and compound the health consequence of smoking. Future research should seek to replicate these findings in other samples, and examine associations longitudinally to better understand causality.

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.