Social determinants of health and cancer mortality in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study

Health-related conditions among long-term cancer survivors diagnosed in adolescence and young adulthood (AYA): results of the SURVAYA study

BACKGROUND

With 5-year survival rates > 85%, gaining insight into the long-term and late health-related conditions of cancer survivors diagnosed in adolescence and young adulthood is of utmost importance to improve their quantity and quality of survival. This study examined the prevalence of and factors associated with, patient-reported health-related conditions and their latency times among long-term adolescent and young adult (AYA) cancer survivors.

METHODS

AYA cancer survivors (5-20 years after diagnosis) were identified by the population-based Netherlands Cancer Registry (NCR), and invited to participate in the SURVAYA questionnaire study. Participants reported the prevalence and date of diagnosis of health-related conditions. Clinical data were retrieved from the NCR.

RESULTS

Three thousand seven hundred seventy-six AYA cancer survivors (response rate 33.4%) were included for analyses. More than half of the AYAs (58.5%) experienced health-related conditions after their cancer diagnosis, of whom 51.4% were diagnosed with two or more conditions. Participants reported conditions related to vision (15.0%), digestive system (15.0%), endocrine system (14.1%), cardiovascular system (11.7%), respiratory system (11.3%), urinary tract system (10.9%), depression (8.6%), hearing (7.4%), arthrosis (6.9%), secondary malignancy (6.4%), speech-, taste and smell (4.5%), and rheumatoid arthritis (2.1%). Time since diagnosis, tumor type, age at diagnosis, and educational level were most frequently associated with a health-related condition.

CONCLUSIONS

A significant proportion of long-term AYA cancer survivors report having one or more health-related conditions.

IMPLICATIONS FOR CANCER SURVIVORS

Future research should focus on better understanding the underlying mechanisms of, and risk factors for, these health-related conditions to support the development and implementation of risk-stratified survivorship care for AYA cancer survivors to further improve their outcomes.

CLINICAL TRIALS REGISTRATION

NCT05379387.

Evolution of community outreach and engagement at National Cancer Institute-Designated Cancer Centers, an evolving journey

Cancer mortality rates have declined during the last 28 years, but that process is not equitably shared. Disparities in cancer outcomes by race, ethnicity, socioeconomic status, sexual orientation and gender identity, and geographic location persist across the cancer care continuum. Consequently, community outreach and engagement (COE) efforts within National Cancer Institute-Designated Cancer Center (NCI-DCC) catchment areas have intensified during the last 10 years as has the emphasis on COE and catchment areas in NCI's Cancer Center Support Grant applications. This review article attempts to provide a historic perspective of COE within NCI-DCCs. Improving COE has long been an important initiative for the NCI, but it was not until 2012 and 2016 that NCI-DCCs were required to define their catchment areas rigorously and to provide specific descriptions of COE interventions, respectively. NCI-DCCs had previously lacked adequate focus on the inclusion of historically marginalized patients in cancer innovation efforts. Integrating COE efforts throughout the research and operational aspects of the cancer centers, at both the patient and community levels, will expand the footprint of COE efforts within NCI-DCCs. Achieving this change requires sustained commitment by the centers to adjust their activities and improve access and outcomes for historically marginalized communities.

Cardiovascular disease and cancer: shared risk factors and mechanisms

Cardiovascular disease (CVD) and cancer are among the leading causes of morbidity and mortality globally, and these conditions are increasingly recognized to be fundamentally interconnected. In this Review, we present the current epidemiological data for each of the modifiable risk factors shared by the two diseases, including hypertension, hyperlipidaemia, diabetes mellitus, obesity, smoking, diet, physical activity and the social determinants of health. We then review the epidemiological data demonstrating the increased risk of CVD in patients with cancer, as well as the increased risk of cancer in patients with CVD. We also discuss the shared mechanisms implicated in the development of these conditions, highlighting their inherent bidirectional relationship. We conclude with a perspective on future research directions for the field of cardio-oncology to advance the care of patients with CVD and cancer.

Inequities in primary liver cancer in Europe: The state of play

Given the increasing burden of liver cancer in Europe, it is crucial to investigate how social determinants of health (SDoH) affect liver cancer risk factors and access to care in order to improve health outcomes equitably. This paper summarises the available evidence on the differential distribution of liver cancer risk factors, incidence, and health outcomes in the European Economic Area and the United Kingdom from an SDoH perspective. Vulnerable and marginalised populations have low socio-economic and educational levels and are the most affected by liver cancer risk factors. Reasons for this include varied access to hepatitis B virus vaccination and limited access to viral hepatitis B and C screening, harm reduction, and treatment. Additionally, alcohol-related liver disease remains highly prevalent among individuals with low education, insecure employment, economic instability, migrants, and deprived populations. Moreover, significant variation exists across Europe in the proportion of adults with steatotic liver disease, overweight/obesity, and diabetes, based on geographical area, gender, socio-economic and educational background, and density of ultra-processed food outlets. Inequities in cirrhosis mortality rates have been reported, with the highest death rates among individuals living in socio-economically disadvantaged areas and those with lower educational levels. Furthermore, insufficient healthcare access for key populations with primary liver cancer is influenced by complex healthcare systems, stigmatisation, discrimination, low education, language barriers, and fear of disclosure. These challenges contribute to inequities in liver cancer care pathways. Future studies are needed to explore the different SDoH-interlinked effects on liver cancer incidence and outcomes in European countries. The ultimate goal is to develop evidence-based multilevel public health interventions that reduce the SDoH impact in precipitating and perpetuating the disproportionate burden of liver cancer in specific populations.

There is no such a thing as a 'biological' basis for cancer disparities: A call to end misreporting of the ultimate determinants of health outcomes

Improved strategies of cancer prevention and control have resulted in tangible benefits for patients with cancer. Disparities in outcome have been reported as a result of inequal access to health care. Historically, differences in health outcomes at population level have been reported according to key characteristics, including race, ethnicity and, more recently, ancestry. These population descriptors have been used to display the differences in the outcome and highlight actionable areas of health disparities, through policy and population health interventions. Yet, they have been commonly mis-intended as ultimate determinants of health outcomes, as recapitulating intrinsic biological differences. A plethora of past literature has described "biological" differences in patients belonging to a specific racial, ethnical or ancestral group, with certain cancers - commonly overlooking the social and economic contextures. The attention has ultimately focused on the existence of intrinsic differences and biological reasons, as opposed to social and economic determinants of disparities in the outcome in disadvantaged or excluded communities, thus nurturing double stigma. In our editorial, we evaluate some key roots of racial attitudes in displaying patient outcomes in oncology epidemiological studies, and call to report ultimate determinants of health - that are, primarily social and economic determinants.

Rural Health Disparities in Allergy, Asthma, and Immunologic Diseases: The Current State and Future Direction for Clinical Care and Research

Rural health disparities are well documented and continue to jeopardize the long-term health and wellness for the millions of individuals who live in rural America. The disparities observed between urban and rural residents encompass numerous morbidity and mortality measures for several chronic diseases and have been referred to as the "rural mortality penalty." Although the unmet health needs of rural communities are widely acknowledged, little is known about rural health disparities in allergies, asthma, and immunologic diseases. Furthermore, the intersection between rural health disparities and social determinants of health has not been fully explored. To achieve a more complete understanding of the factors that perpetuate rural health disparities, greater research efforts followed by improved practice and policy are needed that account for the complex social context within rural communities rather than a general comparison between urban and rural environments or focusing on biomedical factors. Moreover, research efforts must prioritize community inclusion throughout rural areas through meaningful engagement of stakeholders in both clinical care and research. In this review, we examine the scope of health disparities in the rural United States and the impact of social determinants of health. We then detail the current state of rural health disparities in the field of allergy, asthma, and immunology. To close, we offer future considerations to address knowledge gaps and unmet needs for both clinical care and research in addressing rural health disparities.

Machine Learning as a Tool for Early Detection: A Focus on Late-Stage Colorectal Cancer across Socioeconomic Spectrums

PURPOSE

To assess the efficacy of various machine learning (ML) algorithms in predicting late-stage colorectal cancer (CRC) diagnoses against the backdrop of socio-economic and regional healthcare disparities.

METHODS

An innovative theoretical framework was developed to integrate individual- and census tract-level social determinants of health (SDOH) with sociodemographic factors. A comparative analysis of the ML models was conducted using key performance metrics such as AUC-ROC to evaluate their predictive accuracy. Spatio-temporal analysis was used to identify disparities in late-stage CRC diagnosis probabilities.

RESULTS

Gradient boosting emerged as the superior model, with the top predictors for late-stage CRC diagnosis being anatomic site, year of diagnosis, age, proximity to superfund sites, and primary payer. Spatio-temporal clusters highlighted geographic areas with a statistically significant high probability of late-stage diagnoses, emphasizing the need for targeted healthcare interventions.

CONCLUSIONS

This research underlines the potential of ML in enhancing the prognostic predictions in oncology, particularly in CRC. The gradient boosting model, with its robust performance, holds promise for deployment in healthcare systems to aid early detection and formulate localized cancer prevention strategies. The study's methodology demonstrates a significant step toward utilizing AI in public health to mitigate disparities and improve cancer care outcomes.

The impact of social determinants of health on thyroid cancer mortality and time to treatment

BACKGROUND

Whereas racial disparities in thyroid cancer care are well established, the role of social determinants of health is less clear. We aimed to assess the individual and cumulative impact of social determinants of health on mortality and time to treatment among patients with thyroid cancer.

METHODS

We collected social determinants of health data from thyroid cancer patients registered in the National Cancer Database from 2004 to 2017. We created a count variable for patients in the lowest quartile of each social determinant of health (ie, low income, low education, and no insurance). We assessed the association of social determinants of health with mortality and time to treatment and the association between cumulative social determinants of health count and time to treatment using Cox regression.

RESULTS

Of the 142,024 patients we identified, patients with longer time to treatment had greater mortality compared to patients treated within 90 days (90-180 days, adjusted hazard ratio 1.21 (95% confidence interval 1.13-1.29, P < .001); >180 days, adjusted hazard ratio 1.57 (95% confidence interval 1.41-1.76, (P < .001). Compared to patients with no adverse social determinants of health, patients with 1, 2, or 3 adverse social determinants of health had a 10%, 12%, and 34%, respectively, higher likelihood of longer time to treatment (1 social determinant of health, hazard ratio 0.90, 95% confidence interval 0.89-0.92, P < .001; 2 social determinants of health, hazard ratio 0.88, 95% confidence interval 0.87-0.90, P < .001; 3 social determinants of health, hazard ratio 0.66, 95% confidence interval 0.62-0.71, P < .001 for all). On subgroup analysis by race, each adverse social determinant of health was associated with an increased likelihood of a longer time to treatment for Black and Hispanic patients (P < .05).

CONCLUSION

A greater number of adverse social determinants of health leads to a higher likelihood of a longer time to treatment for patients with thyroid cancer, which, in turn, is associated with an increased risk for mortality.

Social Determinants of Health and Associations With Outcomes in Pediatric Patients With Brain Tumors

BACKGROUND AND OBJECTIVES

Social determinants of health (SDOH) are nonmedical factors that affect health outcomes. Limited investigation has been completed on the potential association of these factors to adverse outcomes in pediatric populations. In this study, the authors aimed to analyze the effects of SDOH disparities and their relationship with outcomes after brain tumor resection or biopsy in children.

METHODS

The authors retrospectively reviewed the records of their center's pediatric patients with brain tumor. Black race, public insurance, median household income, and distance to hospital were the investigated SDOH factors. Univariate analysis was completed between number of SDOH factors and patient demographics. Multivariate linear regression models were created to identify coassociated determinants and outcomes.

RESULTS

A total of 272 patients were identified and included in the final analysis. Among these patients, 81 (29.8%) had no SDOH disparities, 103 (37.9%) had 1, 71 (26.1%) had 2, and 17 (6.2%) had 3. An increased number of SDOH disparities was associated with increased percentage of missed appointments ( P = .002) and emergency room visits ( P = .004). Univariate analysis demonstrated increased missed appointments ( P = .01), number of postoperative imaging ( P = .005), and number of emergency room visits ( P = .003). In multivariate analysis, decreased median household income was independently associated with increased length of hospital stay ( P = .02).

CONCLUSION

The SDOH disparities are prevalent and impactful in this vulnerable population. This study demonstrates the need for a shift in research focus toward identifying the full extent of the impact of these factors on postoperative outcomes in pediatric patients with brain tumor.

The Impact of Neighborhood Deprivation on the Survival Rates of Patients with Cancer in Korea

The objective of this study is to investigate the correlation between the neighborhood deprivation index and survival rates of cancer patients in Korea. In this study, 5-year age-standardized survival rates of patients with cancer were determined using the National Cancer Cohort from 2014 to 2018 in Korea. The primary cancer sites were the stomach, colorectum, liver, lung, breast, cervix, prostate, and thyroid. Disparities were measured, and their impact on the overall survival rates was assessed using the Korean version of the Neighborhood Deprivation Index. Pearson's correlation coefficient was calculated to determine the strength of the correlation. The study cohort comprised 726,665 patients with cancer, of whom 50.7% were male. The predominant primary cancer sites were the stomach (n = 138,462), colorectum (n = 125,156), and thyroid gland (n = 120,886). Urban residents showed better survival outcomes than those situated in rural areas. The most deprived quartile had the lowest survival rate, while the least deprived quartile had the highest (p < 0.001). Most cancer types revealed significant correlations between neighborhood deprivation and 5-year age-standardized overall survival, with lung cancer showing the most substantial negative correlation (r = -0.510), followed by prostate cancer (r = -0.438). However, thyroid cancer showed only a marginal correlation (p = 0.069). The results of this study suggested that neighborhood deprivation is closely linked to disparities in overall survival across various types of cancer. A substantial negative correlation between the neighborhood deprivation index and all-cause mortality for lung and prostate cancer, as compared to breast and cervical cancers covered by the National Cancer Screening Program, may reinforce the need to address healthcare access and improve the early detection of cancer in socioeconomically deprived neighborhoods.

Race and Ethnicity Disparities in Cardiovascular and Cancer Mortality: the Role of Socioeconomic Status-a Systematic Review and Meta-analysis

To clarify the role of socioeconomic status (SES) in cardiovascular and cancer mortality disparities observed between Black, Hispanic, and Asian compared to White adults, we conducted a meta-analysis of the longitudinal research in the USA. A PubMed, Ovid Medline, Web of Science, and EBSCO search was performed from January 1995 to May 2023. Two authors independently screened the studies and conducted risk assessments, with conflicts resolved via consensus. Studies were required to analyze mortality data using Cox proportional hazard regression. Random-effects models were used to pool hazard ratios (HR) and reporting followed PRISMA guidelines. Twenty-two studies with cardiovascular mortality (White and Black (n = 22), Hispanic (n = 7), and Asian (n = 3) adults) and twenty-three with cancer mortality endpoints (White and Black (n = 23), Hispanic (n = 11), and Asian (n = 10) adults) were included. The meta-analytic sample for cardiovascular mortality endpoints was 6,199,049 adults (White = 4,891,735; Black = 935,002; Hispanic = 295,623; Asian = 76,689), while for cancer-specific mortality endpoints was 7,745,180 adults (White = 5,988,392; Black= 1,070,447; Hispanic= 484,848; Asian = 201,493). Median follow-up was 10 and 11 years in cohorts with cardiovascular and cancer mortality endpoints, respectively. Adjustments for SES attenuated the higher risk for cardiovascular (HR, 1.46; 95% CI, 1.30-1.64) and cancer mortality (HR, 1.35; 95% CI, 1.32-1.38) of Black compared to White adults by 25% (HR, 1.21; 95% CI, 1.15-1.28) and 19% (HR, 1.16; 95% CI, 1.13-1.18), respectively. However, the Hispanic cardiovascular (HR, 0.79; 95% CI, 0.73-0.85) and Asian cancer mortality (HR, 0.81; 95% CI, 0.76-0.86) advantage were independent of SES. These findings emphasize the need to develop strategies focused on SES to reduce cardiovascular and cancer mortality in Black adults.

The impact of social determinants of health on textbook oncological outcomes and overall survival in locally advanced non-small cell lung cancer

Objectives

Textbook oncological outcome (TOO) is a composite metric for surgical outcomes, including non-small cell lung cancer (NSCLC). We hypothesized that social determinants of health (SDH) can affect both the attainment of TOO and the overall survival (OS) in surgically resected NSCLC patients with pathological nodal disease.

Methods

We queried the National Cancer Database (2010-2017) for preoperative therapy-naïve lobectomies for NSCLC with tumor size <7 cm and pathologic N1/N2. Socioeconomic factors comprised SDH scores, where SDH negative (-) was considered if SDH ≥2 (disadvantage); otherwise, SDH was positive (+). TOO+ was defined as R0 resection, ≥5 lymph nodes resected, hospital stay <75th percentile, no 30-day mortality, adjuvant chemotherapy initiation ≤3 months, and no unplanned readmission. If one of these parameters was not achieved, the case was considered TOO-.

Results

Of 11,274 patients, 48% of cases were TOO+ and 38% were SDH+. A total of 15% of patients were SDH- and were less likely (adjusted odds ratio, 0.85; 95% confidence interval [CI], 0.78-0.92) to achieve TOO+ than patients with SDH+. After accounting for confounders, patients with TOO+ had 22% lower overall mortality than patients with TOO- (adjusted hazard ratio, 0.78; CI, 0.73-0.82). In contrast, SDH- remained an independently significant risk factor, reducing survival by 24% compared with SDH+ (adjusted hazard ratio, 1.24; CI, 1.17-1.32). The impact of SDH on OS was significant for both patients with TOO+ and TOO-: SDH+/TOO+ had the best OS and SDH-/TOO-had the worst OS.

Conclusions

SDH score has a significant association with TOO achievement and TOO-driven overall posttreatment survival in patients with lobectomy-resected NSCLC with postoperative pathologic N1/N2 nodal metastasis. Addressing SDH is important to optimize care and long-term survival of this patient population.

Lifestyle and host determinants of antitumor immunity and cancer health disparities

Lifestyle factors exert profound effects on host physiology and immunology. Disparities in cancer outcomes persist as a complex and multifaceted challenge, necessitating a comprehensive understanding of the interplay between host environment and antitumor immune responses. Determinants of health - such as obesity, diet, exercise, stress, or sleep disruption - have the potential for modification, yet some exert long-lasting effects and may challenge the notion of complete reversibility. Herein we review intersectional considerations of lifestyle immunity and the impact on tumor immunology and disparities in cancer outcomes, with a focus on obesity.

Association of educational attainment with cancer mortality in a national cohort study of black and white adults: A mediation analysis

Background

Low educational attainment is associated with excess cancer mortality. However, the mechanisms driving this association remain unknown.

Methods

Using data from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study, we evaluated the associations of participant and parental/caregiver education with cancer mortality using Cox proportional hazards models, adjusting for socio-demographic characteristics and health conditions. We used principal components analysis to generate indices of measures representing the social determinants of health (SDOH) and health behaviors. We used structural equation modeling to determine if the association between educational attainment and cancer mortality was mediated by these domains.

Results

Among 30,177 REGARDS participants included in this analysis, 3798 (12.6%) had less than a high school degree. In fully adjusted models, those without a high school education experienced about 50% greater risk of death than high school graduates and higher (White participants HR: 1.47; 95% CI: 1.23, 1.76 and Black HR: 1.54; 95% CI: 1.33, 1.79). There was evidence of a modest mediation effect for the association between education and cancer mortality by the SDOH domain score (White total effect HR: 1.25; 95% CI: 1.18, 1.33, indirect effect HR: 1.04; 95% CI: 1.03, 1.05, direct effect HR: 1.21; 95% CI: 1.14, 1.28 and Black total effect HR: 1.24; 95% CI: 1.18, 1.29, indirect effect HR: 1.04; 95% CI: 1.03, 1.05, direct effect HR: 1.19; 95% CI: 1.14, 1.24). There was no evidence of mediation by the health behaviors score. No significant associations were found for female caregiver/mother's or male caregiver/father's education (N = 13,209).

Conclusions

In conclusion, participant education was strongly associated with cancer mortality, and this association was partially mediated by the SDOH domain score.

Development and Testing of a Mobile App to Collect Social Determinants of Health Data in Cancer Settings: Interview Study

BACKGROUND

Social determinants of health (SDOH) such as lack of basic resources, housing, transportation, and social isolation play an important role for patients on the cancer care continuum. Health systems' current technological solutions for identifying and managing patients' SDOH data largely focus on information recorded in the electronic health record by providers, which is often inaccessible to patients to contribute to or modify.

OBJECTIVE

We developed and tested a patient-centric SDOH screening tool designed for use on patients' personal mobile phone that preserves patient privacy and confidentiality, collects information about the unmet social needs of patients with cancer, and communicates them to the provider.

METHODS

We interviewed 22 patients with cancer, oncologists, and social workers associated with a US-based comprehensive cancer center to better understand how patients' SDOH information is collected and reported. After triangulating data obtained from thematic analysis of interviews, an environmental scan, and a literature search of validated tools to collect SDOH data, we developed an SDOH screening tool mobile app and conducted a pilot study of 16 dyadic pairs of patients and cancer care team members at the same cancer center. We collected patient SDOH data using 36 survey items covering 7 SDOH domains and used validated scales and follow-up interviews to assess the app's usability and acceptability among patients and cancer care team members.

RESULTS

Formative interviews with patients and care team members revealed that transportation, financial challenges, food insecurity, and low health literacy were common SDOH challenges and that a mobile app that collected those data, shared those data with care team members, and offered supportive resources could be useful and valuable. In the pilot study, 25% (4/16) of app-using patients reported having at least one of the abovementioned social needs; the most common social need was social isolation (7/16, 44%). Patients rated the mobile app as easy to use, accurately capturing their SDOH, and preserving their privacy but suggested that the app could be more helpful by connecting patients to actual resources. Providers reported high acceptability and usability of the app.

CONCLUSIONS

Use of a brief, patient-centric, mobile app-based SDOH screening tool can effectively capture SDOH of patients with cancer for care team members in a way that preserves patient privacy and that is acceptable and usable for patients and care team members. However, only collecting SDOH information is not sufficient; usefulness can be increased by connecting patients directly to resources to address their unmet social needs.

Risk Factors of Health-Related Quality of Life among Gastrointestinal Cancer Survivors in the U.S.: With a Focus on Social and Behavioral Determinants of Health (SBDH)

BACKGROUND

Increasing numbers of long-term gastrointestinal (GI) cancer survivors highlight the importance of understanding the factors contributing to their health-related quality of life (HRQoL). We investigated the risk factors of HRQoL, including demographics, clinical characteristics, and social and behavioral determinants of health (SBDH).

METHODS

Data on adult GI cancer survivors (n = 3201) from the Behavioral Risk Factors Surveillance System (BRFSS) surveys from 2014-2021 (except for 2015) were analyzed. Unadjusted/adjusted logistic regression was used.

RESULTS

The majority were women (54%) and white (78%), with a median age of 67. Survivors who were 65 years or older, diagnosed with colorectal cancer, or who had fewer comorbidities were more likely to report significantly better HRQoL. Significant social factors of poor HRQoL included unmarried, racial and ethnic minorities, poor socioeconomic status, and poor healthcare access. Significant behavioral factors of poor HRQoL were lack of physical activity, heavy alcohol consumption, and current smoking, with lack of physical activity being the most significant factor.

CONCLUSIONS

The SBDH has a critical role in HRQoL. Future studies are warranted to develop a tailored survivorship intervention, such as physical rehabilitation, and to explore machine learning/artificial intelligence-based predictive models to identify cancer survivors at a high risk of developing poor HRQoL.

Advancing health equity through implementation science: Identifying and examining measures of the outer setting

BACKGROUND

Implementation science (IS) could accelerate progress toward achieving health equity goals. However, the lack of attention to the outer setting where interventions are implemented limits applicability and generalizability of findings to different populations, settings, and time periods. We developed a data resource to assess outer setting across seven centers funded by the National Cancer Institute's IS Centers in Cancer Control (ISC3) Network Program.

OBJECTIVE

To describe the development of the Outer Setting Data Resource and characterize the county-level outer context across Centers.

METHODS

Our Data Resource captures seven key environments, including: (1) food; (2) physical; (3) economic; (4) social; (5) health care; (6) cancer behavioral and screening; and (7) cancer-related policy. Data were obtained from public sources including the US Census and American Community Survey. We present medians and interquartile ranges based on the distribution of all counties in the US, all ISC3 centers, and within each Center for twelve selected measures. Distributions of each factor are compared with the national estimate using single sample sign tests.

RESULTS

ISC3 centers' catchment areas include 458 counties and over 126 million people across 28 states. The median percentage of population living within ½ mile of a park is higher in ISC3 counties (38.0%, interquartile range (IQR): 16.0%-59.0%) compared to nationally (18.0%, IQR: 7.0%-38.0%; p < 0.0001). The median percentage of households with no broadband access is significantly lower in ISC3 counties (28.4%, IQR: 21.4%-35.6%) compared the nation overall (32.8%, IQR: 25.8%-41.2%; p < 0.0001). The median unemployment rate was significantly higher in ISC3 counties (5.2%, IQR: 4.1%-6.4%) compared to nationally (4.9%, 3.6%-6.3%, p = 0.0006).

CONCLUSIONS

Our results indicate that the outer setting varies across Centers and often differs from the national level. These findings demonstrate the importance of assessing the contextual environment in which interventions are implemented and suggest potential implications for intervention generalizability and scalability.

A systematic review and meta-analysis of 90 cohort studies of social isolation, loneliness and mortality

The associations between social isolation, loneliness and the risk of mortality from all causes, cardiovascular disease (CVD) and cancer are controversial. We systematically reviewed prospective studies on the association between social isolation, loneliness and mortality outcomes in adults aged 18 years or older, as well as studies on these relationships in individuals with CVD or cancer, and conducted a meta-analysis. The study protocol was registered with PROSPERO (reg. no. CRD42022299959). A total of 90 prospective cohort studies including 2,205,199 individuals were included. Here we show that, in the general population, both social isolation and loneliness were significantly associated with an increased risk of all-cause mortality (pooled effect size for social isolation, 1.32; 95% confidence interval (CI), 1.26 to 1.39; P < 0.001; pooled effect size for loneliness, 1.14; 95% CI, 1.08 to 1.20; P < 0.001) and cancer mortality (pooled effect size for social isolation, 1.24; 95% CI, 1.19 to 1.28; P < 0.001; pooled effect size for loneliness, 1.09; 95% CI, 1.01 to 1.17; P = 0.030). Social isolation also increased the risk of CVD mortality (1.34; 95% CI, 1.25 to 1.44; P < 0.001). There was an increased risk of all-cause mortality in socially isolated individuals with CVD (1.28; 95% CI, 1.10 to 1.48; P = 0.001) or breast cancer (1.51; 95% CI, 1.34 to 1.70; P < 0.001), and individuals with breast cancer had a higher cancer-specific mortality owing to social isolation (1.33; 95% CI, 1.02 to 1.75; P = 0.038). Greater focus on social isolation and loneliness may help improve people's well-being and mortality risk.

Disentangling Social Determinants of Health and Rurality in Head and Neck Cancer 2-Year Mortality

Social determinants of health (SDoH) and rurality are known factors that may influence outcomes in head and neck squamous cell carcinoma (HNSCC). Patients residing in remote locations or those with multiple SDoH may encounter barriers to initial diagnosis, adherence to multidisciplinary treatments, and posttreatment surveillance, which may impact their overall survival. However, previous studies have shown mixed results associated with rural residence. The aim of this study is to identify the impact of rurality and SDoH on 2-year survival in HNSCC. The study was conducted using a Head and Neck Cancer Registry at a single institution from June 2018 through July 2022. Rurality, defined by US census scores, and individual measures of SDoH were used. Our results indicate that each additional adverse SDoH factor results in 1.5 times the odds of mortality at 2 years. Individualized measures of SDoH, rather than rurality alone, better reflect patient prognosis in HNSCC.

Exploring the Social Determinants of Health and Health Disparities in Traumatic Brain Injury: A Scoping Review

Traumatic brain injury (TBI) is a global health concern, that can leave lasting physical, cognitive, and/or behavioral changes for many who sustain this type of injury. Because of the heterogeneity of this population, development of appropriate intervention tools can be difficult. Social determinants of health (SDoH) are factors that may impact TBI incidence, recovery, and outcome. The purpose of this study is to describe and analyze the existing literature regarding the prevailing SDoH and health disparities (HDs) associated with TBI in adults. A scoping review, guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework was used to explore three electronic databases-PubMed, Medline, and CINAHL. Searches identified peer-reviewed empirical literature addressing aspects of SDoH and HDs related to TBI. A total of 123 records were identified and reduced to 27 studies based on inclusion criteria. Results revealed race/ethnicity was the most commonly reported SDoH impacting TBI, followed by an individual's insurance status. Health disparities were noted to occur across the continuum of TBI, including TBI risk, acute hospitalization, rehabilitation, and recovery. The most frequently reported HD was that Whites are more likely to be discharged to inpatient rehabilitation compared to racial/ethnic minorities. Health disparities associated with TBI are most commonly associated with the race/ethnicity SDoH, though insurance status and socioeconomic status commonly influence health inequities as well. The additional need for evidence related to the impact of other, lesser researched, SDoH is discussed, as well as clinical implications that can be used to target intervention for at-risk groups using an individual's known SDoH.

Suboptimal Cardiology Follow-Up Among Patients With and Without Cancer Hospitalized for Heart Failure

Many patients hospitalized for heart failure (HF) do not receive recommended follow-up cardiology care, and non-White patients are less likely to receive follow-up than White patients. Poor HF management may be particularly problematic in patients with cancer because cardiovascular co-morbidity can delay cancer treatments. Therefore, we sought to describe outpatient cardiology care patterns in patients with cancer hospitalized for HF and to determine if receipt of follow-up varied by race/ethnicity. SEER (Surveillance, Epidemiology, and End Results) data from 2007 to 2013 linked to Medicare claims from 2006 to 2014 were used. We included patients aged 66+ years with breast, prostate, or colorectal cancer, and preexisting HF. Patients with cancer were matched to patients in a noncancer cohort that included individuals with HF and no cancer. The primary outcome was receipt of an outpatient, face-to-face cardiologist visit within 30 days of HF hospitalization. We compared follow-up rates between cancer and noncancer cohorts, and stratified analyses by race/ethnicity. A total of 2,356 patients with cancer and 2,362 patients without cancer were included. Overall, 43% of patients with cancer and 42% of patients without cancer received cardiologist follow-up (p = 0.30). After multivariable adjustment, White patients were 15% more likely to receive cardiology follow-up than Black patients (95% confidence interval [CI] 1.02 to 1.30). Black patients with cancer were 41% (95% CI 1.11 to 1.78) and Asian patients with cancer were 66% (95% CI 1.11 to 2.49) more likely to visit a cardiologist than their noncancer counterparts. In conclusion, less than half of patients with cancer hospitalized for HF received recommended follow-up with a cardiologist, and significant race-related differences in cardiology follow-up exist. Future studies should investigate the reasons for these differences.

Social determinants of health impact mortality from HCC and cholangiocarcinoma: a population-based cohort study

BACKGROUND AND AIMS

The social determinants of health can pose barriers to accessing cancer screening and treatment and have been associated with cancer mortality. However, it is not clear whether area deprivation is independently associated with mortality in HCC and cholangiocarcinoma when controlling for individual-level social determinants of health.

APPROACH AND RESULTS

The cohort included individuals over 18 years old diagnosed with HCC (N=3460) or cholangiocarcinoma (N=781) and reported to the Indiana State Cancer Registry from 2009 to 2017. Area disadvantage was measured using the social deprivation index (SDI). SDI was obtained by linking addresses to the American Community Survey. Individual social determinants of health included race, ethnicity, sex, marital status, and insurance type. The primary outcome was mortality while controlling for SDI and individual social determinants of health by means of Cox proportional hazard modeling. In HCC, living in a neighborhood in the fourth quartile of census-track SDI (most deprived) was associated with higher mortality (HR: 1.14, 95% CI, 1.003-1.30, p=0.04) than living in a first quartile SDI neighborhood. Being uninsured (HR: 1.64, 95% CI, 1.30-2.07, p<0.0001) and never being married (HR: 1.31, 95% CI, 1.15-1.48, p<0.0001) were also associated with mortality in HCC. In cholangiocarcinoma, SDI was not associated with mortality.

CONCLUSIONS

Social deprivation was independently associated with mortality in HCC but not cholangiocarcinoma. Further research is needed to better understand how to intervene on both area and individual social determinants of health and develop interventions to address these disparities.

Social needs of dual-enrolled Medicare-Medicaid patients with medication nonadherence in a telehealth medication therapy management program

BACKGROUND: Telehealth services that identify and address the social needs of patients can improve access to health care and social services. The social needs of medication therapy management (MTM)-eligible Medicare-Medicaid dual-enrolled patients are unknown. OBJECTIVE: To describe the social needs of Medicare-Medicaid dual-enrolled patients participating in a telephonic MTM program. METHODS: This study evaluated the findings of a social needs survey implemented within a telehealth MTM program. Surveys were offered telephonically to eligible Medicare-Medicaid patients of one insurance plan who were identified with medication nonadherence between July 13, 2020, and December 31, 2020. This study described patients who completed the survey during provision of a comprehensive medication review (CMR). Questions screened for social needs in the following social determinant of health domains: community and social context, economic stability, and neighborhood and physical environment. Descriptive statistics were used to describe results. RESULTS: Among 461 patients who completed CMRs, 358 completed the social needs survey. The most prevalent needs and concerns identified included lacking support to perform daily activities (165 [47%]), lacking companionship (81 [23%]), feeling left out (71 [20%]), feeling isolated (81 [23%]), not having enough money to pay bills (177 [49%]), worrying about running out of food (77 [22%]), or having run out of food within the last 12 months (81 [23%]). In this sample, 54 (15%) patients reported avoiding a provider visit because of transportation barriers. Certain individuals were without a steady place to live or were worried about losing their home (40 [11%]) and 35 (10%) reported struggling to keep a job. CONCLUSIONS: The identification of social needs among patient populations is necessary to reduce barriers to medication adherence and optimize health care utilization. This study described important social needs identified during the provision of a telehealth CMR among MTM-eligible Medicare-Medicaid dual-enrolled patients. DISCLOSURES: Dr Nahata was supported in part by the Avatar Foundation. Dr Silva Almodóvar works as a research pharmacist within a medication management program, which provides medication therapy management services.

Advancing More Equitable Care Through the Development of a Health Equity Report Card

The root causes of racial disparities in access to optimal cancer care and related cancer outcomes are complex, multifactorial, and not rooted in biology. Contributing factors to racial disparities in care delivery include implicit and explicit bias, lack of representation of people of color in the oncology care and research workforce, and homogenous research participants that are not representative of the larger community. Systemic and structural barriers include policies leading to lack of insurance and underinsurance, costs of cancer treatment and associated ancillary costs of care, disparate access to clinical trials, and social determinants of health, including exposure to environmental hazards, access to housing, childcare, and economic injustices. To address these issues, ACS CAN, NCCN, and NMQF convened the Elevating Cancer Equity (ECE) initiative. The ECE Working Group developed the Health Equity Report Card (HERC). In this manuscript, we describe the process taken by the ECE Working Group to develop the HERC recommendations, the strategies employed by NCCN to develop an implementation plan and scoring methodology for the HERC, and next steps to pilot the HERC tool in practice settings.

Social Determinants of Health: A Need for Evidence-Based Guidelines on How to Capture Data on Underserved Patients

Background . Social determinants of health lead to better cancer care. This multi-site, single-institution study sought to capture data on social determinants of health data in Asian Americans with hepatocellular carcinoma; this group constitutes 60% of patients with this malignancy and are often undertreated or not treated at all. Methods . This study took advantage of an institutional initiative designed to capture and integrate social determinants of health data into the electronic medical record for all patients. Medical records of Asian Americans with hepatocellular cancer were reviewed to acquire data on housing instability, lack of transportation, financial concerns, and social isolation; a score of 1 indicated poor social determinants of health. Results . Of 112 adult Asian American patients with hepatocellular cancer, 22 (20%) were Southeast Asian, and 74 (67%) described English proficiency. A score of 1 (highest risk) was observed in 1 patient (0.9%) for housing instability; 1 (0.9%) lack of transportation; no patient for financial hardship; and 1 (0.9%) for social isolation. However â€" and importantly -- total noncompletion per domain (no question answered within that domain) was observed in 90 patients (80%) for housing instability; 90 (80%) for lack of transportation; 92 (82%) for financial hardship; and 90 (80%) for social isolation. Of note, institution-wide benchmark total noncompletion rates were 0.3%, 0.3%, 47%, and 39% for these respective domains. Conclusion . High total noncompletion rates make social determinants of health data challenging to interpret and underscore the need for evidence-based guidelines on how best to capture such data in underserved patients.

Health Burdens and SES in Alabama: Using Geographic Information System to Examine Prostate Cancer Health Disparity

Simple Summary

The focus of the research was to examine the relationship between Socioeconomic status and prostate cancer in Alabama’s Black Belt region. The cancer rate in Alabama is high, and the state has one of the highest rates of prostate cancer in the USA. The research aims to identify probable reasons, raise awareness, and propose cancer prevention policies. The Geographic Information System, a robust technology, has been adopted to understand Alabama’s county-level prostate cancer incidence and mortality and its association with socioeconomic and health disparities. The analysis indicated an apparent socioeconomic disparity between the Black Belt and Non-Black Belt counties of Alabama. The poverty rate is higher in Black Belt counties. The data revealed that the preexisting condition of diabetes and obesity is closely associated with prostate cancer. Also, incidence and mortality disparities strongly relate to socioeconomic status, and the preexisting condition of obesity and diabetes adds to prostate cancer incidences. Poverty is the root course of inequalities in education, income, and healthcare facilities, particularly among African Americans, contributing to Alabama’s health burden of prostate cancer. The study proposes effective health policy intervention to prevent and reduce prostate cases and mortality among underserved communities in Alabama.

Abstract

Socioeconomic disparities influence the risk of many diseases, including cancer. The cancer rate in Alabama is high, and the state has one of the highest rates of prostate cancer in the USA. Alabama’s counties are embedded with socioeconomic disparities, politics, race, ethnicity, and oppression, among which social equity and socioeconomic status (SES) been closely associated with prostate cancer. The Geographic Information System (GIS) has become a valuable technology in understanding public health in many applications, including cancer. This study integrates Alabama’s county-level prostate cancer incidence and mortality and its association with socioeconomic and health disparities. We conducted robust data mining from several data sources such as the Alabama State Cancer Profile data, Alabama Department of Health, American Cancer Society, Center for Disease Control, and National Cancer Institute. The research method is the Geographic Information System (GIS), and we employed prostate cancer data within GIS to understand Alabama’s prostate cancer prevalence regarding SES. The GIS analysis indicated an apparent socioeconomic disparity between the Black Belt and Non-Black Belt counties of Alabama. The Black Belt counties’ poverty rate is also remarkably higher than non-Black Belt counties. In addition, we analyzed the median household income by race. Our analysis demonstrates that the Asian background population in the state earned the highest median income compared to non-Hispanic whites and the African American population. Furthermore, the data revealed that the preexisting condition of diabetes and obesity is closely associated with prostate cancer. The GIS analysis suggests that prostate cancer incidence and mortality disparities are strongly related to SES. In addition, the preexisting condition of obesity and diabetes adds to prostate cancer incidences. Poverty also reflects inequalities in education, income, and healthcare facilities, particularly among African Americans, contributing to Alabama’s health burden of prostate cancer.

Universal posttransplant cyclophosphamide after allogeneic transplant, a retrospective single institution study

BACKGROUND

The excellent results of posttransplant cyclophosphamide in decreasing graft-versus-host disease (GVHD) after haploidentical (HI) allogeneic transplant have challenged current donor selection algorithms.

PATIENTS AND METHODS

We compared outcomes after matched sibling (MSD) versus alternative donor transplant using identical graft-versus-host disease (GVHD) prophylaxis including posttransplant cyclophosphamide (PTCy. Endpoints included engraftment, time outside of the hospital in the first 100 days after transplant, overall survival (OS), non-relapse mortality (NRM) and percentage of patients disease-free and off immunosuppression (DFOI) at one year and at the last follow-up.

RESULTS

There were significant differences at baseline between matched donor versus HI donor transplants with higher disease-risk index (DRI), more female-to-male donor recipient pairs and a higher percentage of Black patients in the HI group. Engraftment and time out of the hospital favored MSD and matched unrelated donor transplants. Multivariate analysis showed that high DRI and Black race were associated with decreased survival and Black race was associated with a higher NRM.

CONCLUSIONS

With the use of PTCy, our results support current donor selection algorithms. The finding of decreased survival and increased NRM in Black patients requires confirmation in a larger number of patients as well as the development of mitigation strategies.

Characteristics associated with decrements in objective measures of physical function in older patients with cancer during chemotherapy

PURPOSE

Study purposes were to evaluate for inter-individual variability in the trajectories of three objective measures of physical function (PF) in older patients receiving chemotherapy (n = 112) and determine which characteristics were associated with worse PF.

METHODS

Balance, gait speed, and chair-stand test were evaluated at initiation and 1, 3, 6, 9, and 12 months following chemotherapy. Hierarchical linear modeling was used to assess inter-individual variability in the trajectories of the three tests. Demographic, clinical, and symptom characteristics, and levels of cognitive function associated with initial levels and changes over time in each of the tests were determined.

RESULTS

Gait speed and chair-stand tests improved over time. Balance declined until month 6, then increased. Characteristics associated with decreases in balance scores at initiation of chemotherapy were lower level of education and lower Karnofsky Performance Status (KPS) score. For initial levels of poorer gait speed, older age, poorer Trail Making Test B (TMTB), and worse Attentional Function Index scores were the associated characteristics. Lower KPS scores, higher body mass index, and poorer TMTB scores were associated with poorer chair-stand times at initiation of chemotherapy. Worse trajectories of chair-stand times were associated with poorer chair-stand time at enrollment. Characteristic associated with lower initial levels and improved trajectories of balance was older age at enrollment.

CONCLUSIONS

Determination of characteristics associated with decrements in balance, gait speed, and chair-stand can assist clinicians to identify older oncology patients at risk for decrements in PF. Interventions to maintain and improve PF need to be implemented with higher risk patients.