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BackgroundEngaging socioeconomically disadvantaged populations in health research is vital to understanding and, ultimately, eliminating health-related disparities. Digital communication channels are increasingly used to recruit study participants, and recent trends indicate a growing need to partner with the social service sector to improve population health. However, few studies have recruited participants from social service settings using multiple digital channels. ObjectiveThis study aimed to recruit and survey 3791 adult clients of a social service organization via telephone and digital channels. This paper aimed to describe recruitment outcomes across five channels and compare participant characteristics by recruitment channel type. MethodsThe Cancer Communication Channels in Context Study recruited and surveyed adult clients of 2-1-1, a social service–focused information and referral system, using five channels: telephone, website, text message, web-based live chat, and email. Participants completed surveys administered either by phone (if recruited by phone) or on the web (if recruited from digital channels, ie, website, text message, Web-based live chat, or email). Measures for the current analysis included demographic and health characteristics. ResultsA total of 3293 participants were recruited, with 1907 recruited by phone and 1386 recruited from digital channels. Those recruited by phone had a moderate study eligibility rate (42.23%) and the highest survey completion rate (91.24%) of all channels. Individuals recruited by text message had a high study eligibility rate (94.14%) yet the lowest survey completion rate (74.0%) of all channels. Sample accrual goals were achieved for phone, text message, and website recruitment. Multivariable analyses found differences in participant characteristics by recruitment channel type. Compared with participants recruited by phone, those recruited from digital channels were younger (adjusted odds ratio [aOR] 0.96, 95% CI 0.96-0.97) and more likely to be female (aOR 1.52, 95% CI 1.23-1.88), married (aOR 1.52, 95% CI 1.22-1.89), and other than non-Hispanic black (aOR 1.48, 95% CI 1.22-1.79). Those recruited via phone also were more likely to have more than a high school education (aOR 2.17, 95% CI 1.67-2.82), have a household income ≥US $25,000 a year (aOR 2.02, 95% CI 1.56-2.61), and have children living in the home (aOR 1.26, 95% CI 1.06-1.51). Additionally, participants recruited from digital channels were less likely than those recruited by phone to have public health insurance (aOR 0.75, 95% CI 0.62-0.90) and more likely to report better overall health (aOR 1.52, 95% CI 1.27-1.83 for good-to-excellent health). ConclusionsFindings indicate the feasibility and utility of recruiting socioeconomically disadvantaged adults from the social service sector using multiple communication channels, including digital channels. As social service–based health research evolves, strategic recruitment using a combination of traditional and digital channels may be warranted to avoid underrepresentation of highly medically vulnerable individuals, which could exacerbate disparities in health.

Health disparities persist despite ongoing efforts. Given the United States' rapidly changing demography and socio-cultural diversity, a paradigm shift in behavioral medicine is needed to advance research and interventions focused on health equity. This paper introduces the ConNECT Framework as a model to link the sciences of behavioral medicine and health equity with the goal of achieving equitable health and outcomes in the twenty-first century. We first evaluate the state of health equity efforts in behavioral medicine science and identify key opportunities to advance the field. We then discuss and present actionable recommendations related to ConNECT's five broad and synergistic principles: (1) Integrating Context; (2) Fostering a Norm of Inclusion; (3) Ensuring Equitable Diffusion of Innovations; (4) Harnessing Communication Technology; and (5) Prioritizing Specialized Training. The framework holds significant promise for furthering health equity and ushering in a new and refreshing era of behavioral medicine science and practice.

Background Behavioral digital health interventions (e.g. mobile apps, websites, wearables) have been applied widely to improve health outcomes. However, many groups (e.g. people with low income levels, people who are geographically isolated, older adults) may face obstacles to technology access and use. In addition, research has found that biases and stereotypes can be embedded within digital health interventions. As such, behavioral digital health interventions that intend to improve overall population health may unintentionally widen health-related inequities. Purpose This commentary offers guidance and strategies to mitigate these risks when using technology as a means for delivering a behavioral health intervention. Methods A collaborative working group from Society of Behavioral Medicine's Health Equity Special Interest Group developed a framework to center equity in the development, testing and dissemination of behavioral digital health interventions. Results We introduce P artner, I dentify, D emonstrate, A ccess, R eport (PIDAR), a 5-point framework to avoid the creation, perpetuation, and/or widening of health inequities in behavioral digital health work. Conclusions It is critically important to prioritize equity when conducting digital health research. The PIDAR framework can serve as a guide for behavioral scientists, clinicians and developers. [ABSTRACT FROM AUTHOR]

Disparities in health persist despite the development of innovative and effective behavioral interventions. Both behavioral medicine and implementation science are vital to improving health care and health outcomes, and both can play a critical role in advancing health equity. However, to eliminate health disparities, more research in these areas is needed to ensure disparity-reducing behavioral interventions are continually developed and implemented. This special issue on interventions to promote health equity presents a diverse set of articles focused on implementing behavioral interventions to reduce health disparities. The current article summarizes the special issue and identifies key themes and future considerations. Articles in this special issue report on behavioral medicine intervention studies (including those examining aspects of implementation) as well as implementation science studies with implications for behavioral medicine. Articles discuss community-, provider-, and system-level interventions; implementation processes; and barriers and facilitators to implementation. Also included are commentaries calling for greater prioritization of behavioral medicine and implementation research. As evidenced in this special issue, behavioral medicine is primed to lead the implementation of behavioral interventions in historically marginalized and minoritized populations to advance health equity and improve overall population health. [ABSTRACT FROM AUTHOR]

Background: Cannabis use is increasing, including among smokers, an at-risk population for cancer. Research is equivocal on whether using cannabis inhibits quitting cigarettes. The current longitudinal study investigated associations between smoking cannabis and subsequently quitting cigarettes. Methods: Participants were 4,535 adult cigarette smokers from a cohort enrolled in the American Cancer Society's Cancer Prevention Study-3 in 2009-2013. Cigarette quitting was assessed on a follow-up survey in 2015-2017, an average of 3.1 years later. Rates of quitting cigarettes at follow-up were examined by retrospectively assessed baseline cannabis smoking status (never, former, recent), and by frequency of cannabis smoking among recent cannabis smokers (low: =3 days/month; medium: 4-19 days/month; high: =20 days/month). Logistic regression models adjusted for sociodemographic factors, smoking- and health-related behaviors, and time between baseline and follow-up. Results: Adjusted cigarette quitting rates at follow-up did not differ significantly by baseline cannabis smoking status [never 36.2%, 95% confidence interval (CI), 34.5-37.8; former 34.1%, CI, 31.4-37.0; recent 33.6%, CI, 30.1-37.3], nor by frequency of cannabis smoking (low 31.4%, CI, 25.6-37.3; moderate 36.7%, CI, 30.7-42.3; high 34.4%, CI, 28.3-40.2) among recent baseline cannabis smokers. In cross-sectional analyses conducted at follow-up, the proportion of cigarette smokers intending to quit smoking cigarettes in the next 30 days did not differ by cannabis smoking status (P = 0.83). Conclusions: Results do not support the hypothesis that cannabis smoking inhibits quitting cigarette smoking among adults. [ABSTRACT FROM AUTHOR]

Objectives: The impact of religion/spirituality (R/S) on cancer outcomes, including health-related quality of life (HRQoL), has been the topic of much investigation. Reports of the opposite, that is, the impact of cancer on R/S and associations with HRQoL, are few. The current study sought to explore the positive and negative impacts of cancer on the religious faith of survivors as well as the associations of such impacts with HRQoL.Methods: Participants included 2309 9-year survivors of cancer from the American Cancer Society's Studies of Cancer Survivors-I. The impact of cancer on R/S was measured using items from the Patient-Reported Outcomes Measurement Information System (PROMIS) psychosocial impact of illness-faith, and HRQoL was measured with the 12-item short form (SF-12). Hierarchical regressions were used to examine the impact of cancer on R/S controlling for medical and demographic covariates.Results: Consistent with hypotheses, the majority of survivors (70%) reported that cancer had a positive impact on religious faith, while the negative impact of cancer on religious faith was relatively rare (17%). In multivariable models, the negative impact of cancer on faith was associated with poorer HRQoL, both mental and physical, while the positive impact of cancer on faith was associated with greater mental well-being.Conclusions: Cancer has a negative impact on religious faith for a minority of survivors. However, when it is reported, such negative impact is indicative of poorer mental and physical well-being. As such, it is important to identify those survivors at risk early in survivorship and provide support and intervention as needed. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic is the greatest global public health crisis since the 1918 influenza outbreak. As of early June, the novel coronavirus has infected more than 6.3 million people worldwide and more than 1.9 million in the United States (US). The total number of recorded deaths due to COVID-19 are growing at an alarming rate globally (³383,000) and nationally (³109,000) Evidence is mounting regarding the heavier burden of COVID-19 infection, morbidity, and mortality on the underserved populations in the US. This commentary focuses on this global health pandemic and how mitigation of the virus relies heavily on health behavior change to slow its spread, highlighting how the pandemic specifically affects the most socially and economically disadvantaged populations in the US. The commentary also offers short, intermediate and long-term research and policy focused recommendations. Both the research and policy recommendations included in this commentary emphasize equity-driven: (1) research practices , including applying a social determinants and health equity lens on monitoring, evaluation, and clinical trials activities on COVID-19; and (2) policy actions , such as dedicating resources to prioritize high-risk communities for testing, treatment, and prevention approaches and implementing organizational, institutional, and legislative policies that address the social and economic barriers to overall well-being that these populations face during a pandemic. It is our hope that these recommendations will generate momentum in delivering timely, effective, and lifesaving changes. [ABSTRACT FROM AUTHOR]

Background: Energy balance-related factors, such as body mass index (BMI), diet, and physical activity, may influence colorectal cancer etiology through interconnected metabolic pathways, but their combined influence is less clear. Methods: We used reduced rank regression to derive three energy balance scores that associate lifestyle factors with combinations of prediagnostic, circulating levels of high-sensitivity C-reactive protein (hsCRP), C-peptide, and hemoglobin A1c (HbA1c) among 2,498 participants in the Cancer Prevention Study-II Nutrition Cohort. Among 114,989 participants, we verified 2,228 colorectal cancer cases. We assessed associations of each score with colorectal cancer incidence and by tumor molecular phenotypes using Cox proportional hazards regression. Results: The derived scores comprised BMI, physical activity, screen time, and 14 food groups, and explained 5.1% to 10.5% of the variation in biomarkers. The HR and 95% confidence interval (CI) for quartile 4 versus 1 of the HbA1c+C peptide-based score and colorectal cancer was 1.30 (1.15-1.47), the hsCRP-based score was 1.35 (1.19-1.53), and the hsCRP, C-peptide, and HbA1c-based score was 1.35 (1.19-1.52). The latter score was associated with non-CIMP tumors (HRQ4vsQ1: 1.59; 95% CI: 1.17-2.16), but not CIMP-positive tumors (Pheterogeneity = 0.04). Conclusions: These results further support hypotheses that systemic biomarkers of metabolic health--inflammation and abnormal glucose homeostasis--mediate part of the relationship between several energy balance-related modifiable factors and colorectal cancer risk. Impact: Results support cancer prevention guidelines for maintaining a healthful body weight, consuming a healthful diet, and being physically active. More research is needed on these clusters of exposures with molecular phenotypes of tumors. [ABSTRACT FROM AUTHOR]

The emerging era of precision medicine (PM) holds great promise for patient care by considering individual, environmental, and lifestyle factors to optimize treatment. Context is centrally important to PM, yet, to date, little attention has been given to the unique context of religion and spirituality (R/S) and their applicability to PM. R/S can support and reinforce health beliefs and behaviors that affect health outcomes. The purpose of this article is to discuss how R/S can be considered in PM at multiple levels of context and recommend strategies for integrating R/S in PM. We conducted a descriptive, integrative literature review of R/S at the individual, institutional, and societal levels, with the aim of focusing on R/S factors with a high level of salience to PM. We discuss the utility of considering R/S in the suitability and uptake of PM prevention and treatment strategies by providing specific examples of how R/S influences health beliefs and practices at each level. We also propose future directions in research and practice to foster greater understanding and integration of R/S to enhance the acceptability and patient responsiveness of PM research approaches and clinical practices. Elucidating the context of R/S and its value to PM can advance efforts toward a more whole-person and patient-centered approach to improve individual and population health. [ABSTRACT FROM AUTHOR]

Although cancer mortality rates declined in the United States in recent decades, some populations experienced little benefit from advances in cancer prevention, early detection, treatment, and survivorship care. In fact, some cancer disparities between populations of low and high socioeconomic status widened during this period. Many potentially preventable cancer deaths continue to occur, and disadvantaged populations bear a disproportionate burden. Reducing the burden of cancer and eliminating cancer-related disparities will require more focused and coordinated action across multiple sectors and in partnership with communities. This article, part of the American Cancer Society's Cancer Control Blueprint series, introduces a framework for understanding and addressing social determinants to advance cancer health equity and presents actionable recommendations for practice, research, and policy. The article aims to accelerate progress toward eliminating disparities in cancer and achieving health equity. [ABSTRACT FROM AUTHOR]

Smoking behavior may be influenced by perceived trust of information from tobacco and e-cigarette companies about their products. The purpose of this study was to identify sociodemographic subgroups with more trust in tobacco product (tobacco and e-cigarette) companies than health professionals and explore associations between this relative trust and tobacco product use. Health Information National Trends Survey (HINTS 4, FDA Cycle) data were analyzed (N = 3,738). Two relative trust measures were developed identifying respondents who trust tobacco companies or e-cigarette companies as much as or more than health professionals for information about the health effects of tobacco products or e-cigarettes versus those who place more trust in health professionals. Dependent variables were smoking status (current, former, never) and e-cigarette use (ever, never). Bivariate analyses and multivariable logistic regressions were conducted in SAS 9.4 using jackknife replicate weights. Respondents who trusted tobacco or e-cigarette companies as much as or more than health professionals were disproportionately from racial/ethnic minority groups or had low levels of income or education (all p < 0.05). Relative trust was not associated with smoking status. After controlling for demographics, respondents who trusted e-cigarette companies as much as or more than health professionals had 87% greater odds (95% CI: 1.16, 3.00) of e-cigarette use, compared to respondents who placed higher trust in health professionals. Findings suggest that population subgroups with greater trust in e-cigarette companies relative to health professionals are more prone to e-cigarette use. Targeted communication strategies may be needed for underserved populations and to counter messaging from e-cigarette companies. [ABSTRACT FROM AUTHOR]

Background: Existing research indicates that religion, spirituality, or both are important to the quality of life of patients with cancer. The current study is the first to characterize trajectories of spiritual well-being (SWB) over time and to identify their predictors in a large, diverse sample of long-term cancer survivors.Methods: The participants were 2365 cancer survivors representing 10 cancer diagnoses from the American Cancer Society's Studies of Cancer Survivors-I, and they were assessed at 3 time points: 1, 2, and 9 years after their diagnosis. SWB was assessed with the 3 subscales of the Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being (FACIT-Sp; ie, Meaning, Peace, and Faith). Predictors included demographic, medical, and psychosocial variables. Latent growth mixture modeling was used to identify trajectories and test their predictors.Results: Four distinct trajectories of SWB were identified for each of the FACIT-Sp subscales: stable-high (45%-61% of the sample, depending on the subscale), stable-moderate (23%-33%), stable-low (7%-16%), and declining (6%-10%). Significant predictors of these trajectories included age, sex, race, education, comorbidities, symptom burden, social support, and optimism, but not always in the hypothesized direction. For some of the subscale trajectories, a recurrence of cancer, multiple cancers, or metastatic cancer was associated with lower SWB.Conclusions: This is the first study to establish the existence and predictors of heterogeneous trajectories of SWB in long-term survivors of cancer. Because SWB is an important component of quality of life, the current results indicate characteristics of persons who could be at greater risk for a decline or consistently low scores in SWB and may warrant clinical attention. [ABSTRACT FROM AUTHOR]

Social isolation is associated with higher mortality in studies comprising mostly white adults, yet associations among black adults are unclear. In this prospective cohort study, we evaluated whether associations of social isolation with all-cause, cardiovascular disease, and cancer mortality differed by race and sex. Adults enrolled in Cancer Prevention Study II in 1982/1983 were followed for mortality through 2012 (n = 580,182). Sex- and race-specific multivariable-adjusted hazard ratios and 95% confidence intervals were estimated for associations of a 5-point social isolation score with risk of death. Social isolation was associated with all-cause mortality in all subgroups (P for trend ≤ 0.005); for the most isolated versus the least isolated, the hazard ratios were 2.34 (95% confidence interval (CI): 1.58, 3.46) and 1.60 (95% CI: 1.41, 1.82) among black men and white men, respectively (P for interaction = 0.40) and 2.13 (95% CI: 1.44, 3.15) and 1.84 (95% CI: 1.68, 2.01) among black women and white women, respectively (P for interaction = 0.89). The association did not differ between black men and black women (P for interaction = 0.33) but was slightly stronger in white women than in white men (P for interaction = 0.01). Social isolation was associated with cardiovascular disease mortality in each subgroup (P for trend < 0.03) but with cancer mortality only among whites (P for trend < 0.0001). Subgroup differences in the influence of specific social isolation components were identified. Identifying and intervening with socially isolated adults could improve health outcomes. [ABSTRACT FROM AUTHOR]

Cancer care delivery is being shaped by growing numbers of cancer survivors coupled with provider shortages, rising costs of primary treatment and follow-up care, significant survivorship health disparities, increased reliance on informal caregivers, and the transition to value-based care. These factors create a compelling need to provide coordinated, comprehensive, personalized care for cancer survivors in ways that meet survivors' and caregivers' unique needs while minimizing the impact of provider shortages and controlling costs for health care systems, survivors, and families. The authors reviewed research identifying and addressing the needs of cancer survivors and caregivers and used this synthesis to create a set of critical priorities for care delivery, research, education, and policy to equitably improve survivor outcomes and support caregivers. Efforts are needed in 3 priority areas: 1) implementing routine assessment of survivors' needs and functioning and caregivers' needs; 2) facilitating personalized, tailored, information and referrals from diagnosis onward for both survivors and caregivers, shifting services from point of care to point of need wherever possible; and 3) disseminating and supporting the implementation of new care methods and interventions. [ABSTRACT FROM AUTHOR]

Objective: Although cancer survival rates continue to improve, overall disparities persist for ethnic minority survivors, who have a disproportionately high risk of experiencing poor quality of life, despite documented higher levels of self-reported spirituality. Yet little is known about the relationship between spirituality and social support and health outcomes among Hispanic survivors. This study examined (1) differences between Hispanic and non-Hispanic white survivors on health, social support, and spirituality and (2) the potential mediating roles of mental health and emotional distress on general health perceptions.Methods: We analyzed data (N = 7778) from the American Cancer Society's Study of Cancer Survivors-II, a national cross-sectional study of adult cancer survivors. Preliminary analysis compared sociodemographic and medical characteristics between the 2 groups to identify significant covariates. Structural equation modeling assessed whether mental health and emotional distress mediate the impact of social support and spirituality on Hispanics' general health perceptions.Results: Overall, 693 survivors were Hispanic and 7085 were non-Hispanic whites. Hispanics reported poorer health and were more likely to have comorbid conditions such as diabetes and depression compared with non-Hispanic whites. Structural equation modeling indicated that the impact of spirituality on general health perceptions was fully mediated through mental health. Emotional distress did not have a direct effect on general health perceptions nor did it mediate effects of spirituality and social support and on general health perceptions. There was a mediated effect of social support on general health perceptions.Conclusions: Spirituality is an important factor in the health of Hispanic survivors. Future studies should explore the impact and effectiveness of spiritual interventions and the beneficial effect for mental health on general health perceptions. [ABSTRACT FROM AUTHOR]

Objective: Research has increasingly documented sociodemographic inequalities in the assessment and management of cancer-related pain. Most studies have focused on racial/ethnic disparities, while less is known about the impact of other sociodemographic factors, including age and education. We analyzed data from a large, national, population-based study of cancer survivors to examine the influence of sociodemographic factors, and physical and mental health comorbidities on barriers to cancer pain management.Methods: The study included data from 4707 cancer survivors in the American Cancer Society's Study of Cancer Survivors-II, who reported experiencing pain from their cancer. A multilevel, socioecological, conceptual framework was used to generate a list of 15 barriers to pain management, representing patient, provider, and system levels. Separate multivariable logistic regressions for each barrier identified sociodemographic and health-related inequalities in cancer pain management, controlling for years since diagnosis, disease stage, and cancer treatment.Results: Two-thirds of survivors reported at least 1 barrier to pain management. While patient-related barriers were most common, the greatest disparities were noted in provider- and system-level barriers. Specifically, inequalities by race/ethnicity, education, age, and physical and mental health comorbidities were observed.Conclusion: Findings indicate survivors who were nonwhite, less educated, older, and/or burdened by comorbidities were most adversely affected. Future efforts in research, clinical practice, and policy should identify and/or implement new strategies to address sociodemographic inequalities in cancer pain management. [ABSTRACT FROM AUTHOR]

In this article, the American Cancer Society provides the estimated number of new cancer cases and deaths for blacks in the United States and the most recent data on cancer incidence, mortality, survival, screening, and risk factors for cancer. Incidence data are from the National Cancer Institute, the Centers for Disease Control and Prevention, and the North American Association of Central Cancer Registries, and mortality data are from the National Center for Health Statistics. Approximately 189,910 new cases of cancer and 69,410 cancer deaths will occur among blacks in 2016. Although blacks continue to have higher cancer death rates than whites, the disparity has narrowed for all cancers combined in men and women and for lung and prostate cancers in men. In contrast, the racial gap in death rates has widened for breast cancer in women and remained level for colorectal cancer in men. The reduction in overall cancer death rates since the early 1990s translates to the avoidance of more than 300,000 deaths among blacks. In men, incidence rates from 2003 to 2012 decreased for all cancers combined (by 2.0% per year) as well as for the top 3 cancer sites (prostate, lung, and colorectal). In women, overall rates during the corresponding time period remained unchanged, reflecting increasing trends in breast cancer combined with decreasing trends in lung and colorectal cancer rates. Five-year relative survival is lower for blacks than whites for most cancers at each stage of diagnosis. The extent to which these disparities reflect unequal access to health care versus other factors remains an active area of research. Progress in reducing cancer death rates could be accelerated by ensuring equitable access to prevention, early detection, and high-quality treatment. CA Cancer J Clin 2016;66:290-308. © 2016 American Cancer Society. [ABSTRACT FROM AUTHOR]

The article focuses on a study conducted by the authors related to smoking behavior of cancer survivors and their plans to quit smoking. Topics discussed include lung, ovarian and bladder cancer survivors smoking more as compared to other survivors, association of smoking with lower education and young age, smoking cessation by those who had cancer due to smoking and less chances of smoking cessation by married and older people.

The Neighborhood Voice is a vehicle customized for conducting health research in community settings. It brings research studies into neighborhoods affected most by health disparities and reaches groups often underrepresented in research samples. This paper reports on the experience and satisfaction of 599 African American women who participated in research on board the Neighborhood Voice. Using bivariate, psychometric, and logistic regression analyses, we examined responses to a brief post-research survey. Most women (71%) reported that they had never previously participated in research, and two-thirds (68%) rated their Neighborhood Voice experience as excellent. Satisfaction scores were highest among first-time research participants (p < .05). Women’s ratings of the Neighborhood Voice on Comfort (OR = 4.9; 95% CI = 3.0, 7.9) and Convenience (OR = 1.8; 95% CI = 1.2, 2.9) significantly predicted having an excellent experience. Mobile research facilities may increase participation among disadvantaged and minority populations. Our brief survey instrument is a model for evaluating such outreach. [ABSTRACT FROM AUTHOR]

Background: Delivering health information and referrals through 2-1-1 is promising, but these systems need efficient ways of identifying callers at increased risk. Purpose: This study explores the utility of using 2-1-1 service request data to predict callers'' cancer control needs. Methods: Using data from a large sample of callers (N=4101) to United Way 2-1-1 Missouri, logistic regression was used to examine the relationship between caller demographics and type of service request, and cancer control needs. Results: Of six types of service requests examined, three were associated with one or more cancer control needs. Two of the service request types were associated also with health insurance status. Conclusions: Findings suggest routinely collected 2-1-1 service request data may be useful in helping to efficiently identify callers with specific cancer prevention and control needs. However, to apply this approach in 2-1-1 systems across the country, further research and ongoing surveillance is necessary. [Copyright &y& Elsevier]

Background: In times of crises, 2-1-1 serves as a lifeline in many ways. These crises often cause a spike in call volume that can challenge 2-1-1''s ability to meet its service quality standards. For researchers gathering data through 2-1-1s, a sudden increase in call volume might reduce accrual as 2-1-1 has less time to administer study protocols. Research activities imbedded in 2-1-1 systems may affect directly 2-1-1 service quality indicators. Purpose: Using data from a 2-1-1 research collaboration, this paper examines the impact of crises on call volume to 2-1-1, how call volume affects research participant accrual through 2-1-1, and how research recruitment efforts affect 2-1-1 service quality indicators. Methods: t-tests were used to examine the effect of call volume on research participant accrual. Linear and logistic regressions were used to examine the effect of research participant accrual on 2-1-1 service quality indicators. Data were collected June 2010–December 2011; data were analyzed in 2012. Results: Findings from this collaboration suggest that crises causing spikes in call volume adversely affect 2-1-1 service quality indicators as well as accrual of research participants. Administering a brief (2–3 minute) health risk assessment did not affect service quality negatively, but administering a longer (15–18 minute) survey had a modest adverse effect on these indicators. Conclusions: In 2-1-1 research collaborations, both partners need to understand the dynamic relationship among call volume, research accrual, and service quality and adjust expectations accordingly. If research goals include administering a longer survey, increased staffing of 2-1-1 call centers may be needed to avoid compromising service quality. [Copyright &y& Elsevier]

Background: Callers to 2-1-1 have greater need for and lesser use of cancer control services than other Americans. Integrating cancer risk assessment and referrals to preventive services into 2-1-1 systems is both feasible and acceptable to callers. Purpose: To determine whether callers will act on these referrals. Methods: In a randomized trial, 2-1-1 callers (n=1200) received standard service and those with at least one cancer risk factor or need for screening were assigned to receive verbal referrals only, verbal referrals + a tailored reminder mailed to their home, or verbal referrals + a telephone health coach/navigator. All data were collected from June 2010 to March 2012 and analyzed in March and April 2012. Results: At 1-month follow-up, callers in the navigator condition were more likely to report having contacted a cancer control referral than those receiving tailored reminders or verbal referrals only (34% vs 24% vs 18%, respectively; n=772, p<0.0001). Compared to verbal referrals only, navigators were particularly effective in getting 2-1-1 callers to contact providers for mammograms (OR=2.10, 95% CI=1.04, 4.22); Paps (OR=2.98, 95% CI=1.18, 7.54); and smoking cessation (OR=2.07, 95% CI=1.14, 3.74). Conclusions: Given the extensive reach of 2-1-1s and the elevated risk profile of their callers, even modest response rates could have meaningful impact on population health if proactive health referrals were implemented nationally. [ABSTRACT FROM AUTHOR]

Objective: In this study, we examined associations between county-level measures of structural racism and county-level cancer incidence and mortality rates between race groups while accounting for factors associated with cancer rates and county-level measures of environmental burden., Methods: To explore this relationship, we conducted multiple linear regression analyses. Data for these analyses came from an index of county-level structural racism and publicly available data on 2015 to 2019 age-adjusted cancer rates from the US Cancer Statistics Data Visualization Tool, 2019 County Health Rankings and Roadmaps, the Environmental Protection Agency's 2006 to 2010 Environmental Quality Index, and 2015 to 2019 estimates from the US Census American Community Survey., Results: County-level structural racism was associated with higher county cancer incidence rates among Black (adjusted incidence rate: 17.4, 95% confidence interval [95% CI]: 9.3, 25.5) and Asian/Pacific Islander populations (adjusted incidence rate: 9.3, 95% CI: 1.8, 16.9) and higher mortality rates for American Indian/Alaskan Native (adjusted mortality rate [AMR]: 17.4, 95% CI: 4.2, 30.6), Black (AMR: 11.9, 95% CI: 8.9, 14.8), and Asian/Pacific Islander (AMR: 4.7, 95% CI: 1.3, 8.1) populations than White populations., Conclusion: Our findings highlight the detrimental impact of structural racism on cancer outcomes among minoritized populations. Strategies aiming to mitigate cancer disparities must embed processes to recognize and address systems, policies, laws, and norms that create and reproduce patterns of discrimination., Competing Interests: Conflict of Interest: No conflict of interest reported by the authors.

Background: Although racial disparities in lung cancer incidence and mortality have diminished in recent years, lung cancer remains the second most diagnosed cancer among US Black populations. Many factors contributing to disparities in lung cancer are rooted in structural racism. To quantify this relationship, we examined associations between a multidimensional measure of county-level structural racism and county lung cancer incidence and mortality rates among Black populations, while accounting for county levels of environmental quality., Methods: We merged 2016-2020 data from the United States Cancer Statistics Data Visualization Tool, a pre-existing county-level structural racism index, the Environmental Protection Agency's 2006-2010 Environmental Quality Index (EQI), 2023 County Health Rankings, and the 2021 United States Census American Community Survey. We conducted multivariable linear regressions to examine associations between county-level structural racism and county-level lung cancer incidence and mortality rates., Results: Among Black males and females, each standard deviation increase in county-level structural racism score was associated with an increase in county-level lung cancer incidence of 6.4 (95% CI: 4.4, 8.5) cases per 100,000 and an increase of 3.3 (95% CI: 2.0, 4.6) lung cancer deaths per 100,000. When examining these associations stratified by sex, larger associations between structural racism and lung cancer rates were observed among Black male populations than among Black females., Conclusion: Structural racism contributes to both the number of new lung cancer cases and the number of deaths caused by lung cancer among Black populations. Those aiming to reduce lung cancer cases and deaths should consider addressing racism as a root-cause., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: Smoking is detrimental to recovery and survival from cancer, but many cancer survivors continue to smoke. Information is lacking on smoking patterns of survivors many years after diagnosis and correlates of smoking status and patterns, likelihood of quitting, and intentions to quit., Methods: Cross-sectional analyses were conducted among survivors of 10 cancers recruited by stratified random sampling from cancer registries in a nationwide, longitudinal, quality-of-life study (n = 2,938)., Results: Approximately 9 years after diagnosis, 9.3% of all survivors were current (past 30-day) smokers. Smoking prevalence was highest among survivors of bladder (17.2%), lung (14.9%), and ovarian (11.6%) cancers. Most current smokers (83%) smoked daily, averaging 14.7 cigarettes per day (cpd). Forty percent of daily smokers smoked more than 15 cpd. Nondaily smokers smoked a mean of 10.9 days in the last 30 days and averaged 5.7 cpd on smoking days. Current smoking was associated with younger age, lower education and income, and greater alcohol consumption. Quitting after diagnosis was associated with having a smoking-related cancer. Roughly, a third of current smokers intended to quit, 40% within the next month. The odds of intending to quit were lower if survivors were married, older, or smoked more., Conclusions: This population-based study indicated that smoking can persist long after initial diagnosis and at high levels and identified characteristics associated with quitting and intentions to quit., Impact: Findings can be used to identify survivors most at risk for continued smoking and to inform tailoring of cessation treatments for survivors., (©2014 American Association for Cancer Research.)