Disparities In Cancer Mortality Research Articles

Cancer Mortality Among Women in the European Union: A Comprehensive Analysis of Economic, Social, and Health Factors

This study provides a comprehensive analysis of factors associated with cancer mortality among women in twenty-seven European Union (EU) countries from 2013 to 2021. Using Pooled Ordinary Least Squares and Quantile Regression models, we examine the impact of socioeconomic, health, and lifestyle factors on gender disparities in cancer mortality. Key findings reveal that higher average years of schooling among women is associated with an increase in cancer mortality, while higher Gross National Income per capita is linked to reduced mortality rates. Lifestyle variables, such as regular physical activity and dietary habits, are associated with lower cancer mortality, whereas unmet healthcare needs and certain socio-political factors correlate with increased mortality. The results underscore the importance of addressing healthcare access and gender equity to inform policy interventions aligned with UN Sustainable Development Goals (SDGs) aimed at reducing cancer mortality among women in the EU.

Cancer Mortality Among Women in the European Union: A Comprehensive Analysis of Economic, Social, and Health Factors

This study provides a comprehensive analysis of factors associated with cancer mortality among women in twenty-seven European Union (EU) countries from 2013 to 2021. Using Pooled Ordinary Least Squares and Quantile Regression models, we examine the impact of socioeconomic, health, and lifestyle factors on gender disparities in cancer mortality. Key findings reveal that higher average years of schooling among women is associated with an increase in cancer mortality, while higher Gross National Income per capita is linked to reduced mortality rates. Lifestyle variables, such as regular physical activity and dietary habits, are associated with lower cancer mortality, whereas unmet healthcare needs and certain socio-political factors correlate with increased mortality. The results underscore the importance of addressing healthcare access and gender equity to inform policy interventions aligned with UN Sustainable Development Goals (SDGs) aimed at reducing cancer mortality among women in the EU.

US Cancer Mortality Trends Among Asian and Pacific Islander Populations

Cancer is the leading cause of death among Asian American individuals and the second leading cause of death among Native Hawaiian and Pacific Islander people. To evaluate longitudinal cancer mortality trends from 1999 to 2020 among Asian American and Pacific Islander populations in the US by demographic characteristics. This cross-sectional study used the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database to obtain age-adjusted cancer death rates among Asian American and Pacific Islander individuals of all ages between January 1, 1999, and December 31, 2020. Data were analyzed from January 12 to March 19, 2024. Age, sex, cancer type, and US census regions. Trends and average annual percent changes (AAPCs) in age-adjusted cancer-specific mortality (CSM) rates for non-Hispanic Asian American and Pacific Islander populations were estimated by cancer type, age, sex, and region using Joinpoint regression. Between 1999 and 2020, 305 386 Asian American and Pacific Islander individuals (median [IQR] age, 69.5 [58.5-79.2] years; 51.1% male) died of cancer in the US. Overall, the CSM rate decreased by 1.5% annually. Men experienced a greater CSM rate decrease (AAPC, -1.8%; 95% CI, -2.2% to -1.3%) compared with women (AAPC, -1.1%; 95% CI: -1.2% to -1.0%). For women, death rates decreased for most cancer types but increased for uterine (AAPC, 2.5%; 95% CI, 2.0%-3.0%) and brain and central nervous system (AAPC, 1.4%; 95% CI: 0.7%-2.1%) cancers. Colorectal cancer mortality rates increased among men aged 45 to 54 years (AAPC, 1.3%; 95% CI, 0.5%-2.1%). Liver and intrahepatic bile duct cancer mortality increased for both men and women in all US census regions, uterine cancer mortality increased in all regions for women, and pancreatic cancer mortality increased in the Midwest for both men and women. Although these findings show an overall decrease in CSM among Asian American and Pacific Islander populations, specific cancer types exhibited increased mortality rates, with further disparities by sex and age. Targeted, culturally adapted clinical and public health interventions are needed to narrow disparities in cancer mortality.

Geospatial Hot Spots and Cold Spots in US Cancer Disparities and Associated Risk Factors, 2004-2008 to 2014-2018.

Despite declining cancer death rates in the US, cancer remains the second deadliest disease and disparities persist. Although research has focused on identifying risk factors for cancer deaths and associated disparities, few studies have examined how these relationships vary over time and space. The primary objective of this study was to identify cancer mortality hot spots and cold spots - areas where cancer death rates decreased less than or more than neighboring areas over time. A secondary objective was to identify risk factors of cancer mortality hot spots and cold spots. We analyzed county-level cancer death rates from 2004 through 2008 and 2014 through 2018, exploring disparities in changes over time for socioeconomic and demographic variables. We used hot spot analysis to identify areas with larger decreases (cold spots) and smaller decreases (hot spots) in cancer death rates and random forest machine learning analysis to assess the relative importance of risk factors associated with hot spots and cold spots. We mapped spatial clustering areas. Geospatial analysis showed hot spots predominantly in the Plains states and Midwest and cold spots in the Southeast, Northeast, 2 Mountain West states (Utah and Idaho), and a portion of Texas. Factors with the strongest influence on hot spots and cold spots were unemployment, preventable hospital stays, mammography screening, and high school education. Geospatial disparities in changes in cancer death rates point out the critical role of access to care, socioeconomic position, and health behaviors in persistent cancer mortality disparities. Study results provide insights for interventions and policies that focus on addressing health care access and social determinants of health.

Spatial disparities in cancer incidence and mortality, indicating gaps in prevention and/or care

Abstract Background There is a rich literature on the distribution of cancer incidence and mortality in socioeconomically different regions of the world, but none of the studies has compared the spatial distribution of mortality and morbidity to see if they are consistent with each other. Methods All malignant neoplasms and separately by cervical, colorectal, breast, pancreatic, lung and oral cancers were studied in the Hungarian population aged 25-64 years for the period 2007-2018 at the municipality level by sex. In each case, the spatial distribution of morbidity and mortality and their clusters were compared with each other and with the level of deprivation using disease mapping, spatial regression, risk analysis and spatial scan statistics. Results All-cause cancer morbidity and mortality showed a significant association with deprivation. However, the slope of the increase in mortality with increasing deprivation was much steeper than for morbidity in both sexes. The association between deprivation and morbidity was not consistent across all cancers. No significant association was found for male colorectal cancer (RR: 1.003; 95%CI 0.986-1.019), pancreatic cancer (1.014; 95%CI 0.983-1.045) and female colorectal cancer morbidity (RR: 0.977; 95%CI 0.991-1.029), whereas a negative association was found for breast cancer morbidity (RR: 0.977; 95%CI 0.963-0.991). In contrast, a positive association between deprivation and mortality was found for each type of cancer, although with different RRs. However, disease mapping analyses showed only partial overlap between high-risk morbidity and mortality areas, often independent of deprivation. Conclusions Our results highlight not only the diverse relationship between the epidemiological situation and deprivation, but also the disproportionate relationship between cancer morbidity and mortality, thus identifying geographical regions and sub-regions with populations that require special public health attention. Key messages • Comparative spatial analysis of cancer morbidity and mortality at the municipality level is strongly recommended to identify populations in need of targeted cancer prevention and/or care. • The usefulness of comparative spatial analysis of cancer morbidity and mortality is demonstrated in Hungary, one of the countries with the most unfavourable cancer burden in international comparison.

Cancer Prevention in People Experiencing Mental Ill-Health: A co-designed Patient Navigation Concept

Abstract Introduction People experiencing mental ill-health have greater disparities in cancer specific morbidity and mortality. Factors influencing cancer prevention include increased risk behaviours and frequent encounters with barriers to health care utilization. The Patient Navigation Model (PNM) has been proven to reduce barriers in accessing cancer preventive care in vulnerable populations. To facilitate successful implementation, the conceptual features of the PNM were co-designed with patients and other relevant stakeholders. Methods Twelve focus groups were conducted in January 2024 at four pilot sites in Austria, Greece, Poland, and Spain. Iterative focus group discussions were carried out following key considerations for the PNM as outlined by DeGroff et al., audio recorded and transcribed verbatim. Transcripts were analysed deductively using a directed content analysis while allowing for potential inductive emergence of codes and topics. A total of 50 participants attended, representing five groups (individuals with mental ill-health, care givers, care team members, representatives of mental health organizations, and representatives of service managers). Results The co-design focus groups allowed for the PNM to be contextually adapted to each pilot site, but similarities in the approach emerged within the following four themes: 1) the requirement for a person-centred approach, 2) consideration of both person-specific and context-specific needs, 3) flexibility and competencies of navigators and 4) variation of navigation services (e.g., improving health literacy, promoting a healthy lifestyle, and providing practical support). Conclusions Participatory approaches in co-designing interventions allow for context specific development of interventions to meet the requirements of people with complex needs. Co-designing the PNM is part of activities of the CO-CAPTAIN project funded by the European Union’s Horizon Europe Programme (GA 101104784). Key messages • The Patient Navigation Model for Primary Cancer Prevention is a tailored intervention aiming to meet the needs of individuals experiencing mental ill-health. • The conceptual features of the Patient Navigation Model for Primary Cancer Prevention were co-designed with patients and other relevant stakeholders.

Unveiling the Landscape of Brazilian Clinical Oncologists: Challenges, Diversity, and Quality Care

AbstractCancer remains a significant public health challenge in Brazil, with an estimated 704 thousand new cases annually. Clinical oncology, a pivotal specialty in cancer diagnosis and treatment, has evolved since its formal establishment in 1946. Recent recognition by the Brazilian Federal Board of Medicine solidified its status, culminating in normative resolution nr. 2,162/2017. The present study aims to characterize Brazilian clinical oncologists and analyze their epidemiological and structural contexts using data from the Brazilian Society of Clinical Oncology's 2023 census and secondary sources, including the National Cancer Institute (Instituto Nacional de Câncer [INCA], in Portuguese) and Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografia e Estatistica [IBGE], in Portuguese). A cross-sectional design employing qualitative-quantitative methods surveyed 761 clinical oncologists, revealing insights into demographics, workload, stress levels, and challenges. The results highlight regional disparities in cancer mortality rates despite the concentration of oncology services in the South and Southeast. Challenges include access to new treatments, late diagnoses, and systemic underfunding. Moreover, this study underscores gender and racial disparities within the specialty, indicating a predominantly white and heterosexual profile among practitioners. Addressing these issues is crucial for enhancing healthcare equity and improving patients' outcomes in oncology practice.

Young Black Women's Breast Cancer Knowledge and Beliefs: A Sequential Explanatory Mixed MethodsStudy.

Black women under the age of 50 have a 111% higher breast cancer mortality rate than their White counterparts. The breast cancer mortality disparities among young Black women may be due in part to the fact that they are more likely to be diagnosed with late-stage, invasive breast cancer tumors. Psychosocial factors, such as lack of perceived risk for breast cancer, lack of awareness of breast cancer risk factors, and ambiguity about breast cancer screening guidelines are areas that are under investigated among young Black women. The purpose of this study was to identify young Black women's cancer beliefs and level of breast cancer risk knowledge. A sequential explanatory mixed methods study was conducted using quantitative data from the Health Information Trends Survey 6 (HINTS 6) (n = 25) and qualitative data from interviews with young Black female college students (n = 13). The results of the quantitative data analysis were used to guide the development of the qualitative interview guide. Data regarding participants' cancer beliefs, cancer risk factor knowledge, perceived cancer risk, and ambiguity about cancer screening behaviors were analyzed. The findings indicated young Black women have low perceived risk of developing cancer. Most participants were not aware of cancer recommendations that were targeted towards women under the age of 40. In addition, knowledge about lifestyle behavior risk factors for breast cancer was relatively low. Our findings underscore the importance of developing, disseminating, and implementing breast cancer education interventions that are targeted towards young Black women.

Disparities in overall and site-specific cancer mortality among immigrant generations in Sweden: A nationwide follow-up study over three decades.

We examined the overall and site-specific cancer mortality disparities among first-generation - separately in adults (G1) and children (G1.5) at immigration - and second-generation (G2) immigrants and their countries of origin using population-based registries in Sweden, encompassing over 8.5 million individuals aged 20 and above residing in Sweden since 1990, with follow-up until December 31, 2023. Cox proportional hazard models were fitted, stratified by gender, to estimate hazard ratios and 95% confidence intervals compared to natives. Mortality rates for most cancers transitioned from lower in G1 towards the rate of natives in G2. However, elevated mortality rates were sustained across generations for liver cancer in males and stomach cancer in females. Among G2, mortality from lymphohematopoietic cancers in males, and lung and cervix uteri cancers in females were elevated - by 10%, 9%, and 17% respectively compared to natives. Country of origin analyses revealed substantial disparities. For instance, G2 females with Nordic parental origin had a 13% higher risk of death from lung cancer, while those with non-Western parental origin had a 54% lower risk as compared to natives. These findings suggest a generational and arrival-age dynamics of cancer mortality and highlight target groups for cancer prevention and control among immigrants.

Impact of Structural Racism and Social Determinants of Health on Disparities in Breast Cancer Mortality.

The striking ethnic and racial disparities in breast cancer mortality are not explained fully by pathological or clinical features. Structural racism contributes to adverse conditions that promote cancer inequities, but the pathways by which this occurs are not fully understood. Social determinants of health (SDOH), such as economic status and access to care, account for a portion of this variability, yet interventions designed to mitigate these barriers have not consistently led to improved outcomes. Based on the current evidence from multiple disciplines, we describe a conceptual model in which structural racism and racial discrimination contribute to increased mortality risk in diverse groups of patients by promoting adverse SDOH that elevate exposure to environmental hazards and stress; these exposures in turn contribute to epigenetic and immune dysregulation, thereby altering breast cancer outcomes. Based on this model, opportunities and challenges arise for interventions to reduce racial and ethnic disparities in breast cancer mortality.

S2330 Racial/Ethnic Disparities in Gastric Cancer Incidence and Mortality Among Individuals Aged 50 Years and Above: A Population-Based Analysis

S2330 Racial/Ethnic Disparities in Gastric Cancer Incidence and Mortality Among Individuals Aged 50 Years and Above: A Population-Based Analysis

S416 Unequal Burden: Sex and Racial Disparities in Colon Cancer Mortality Across Anatomical Sites in the United States

S416 Unequal Burden: Sex and Racial Disparities in Colon Cancer Mortality Across Anatomical Sites in the United States

S115 Gender and Racial Disparities in Pancreatic Cancer Mortality in Texas: A Statewide Population-Based Study

S115 Gender and Racial Disparities in Pancreatic Cancer Mortality in Texas: A Statewide Population-Based Study

S551 Unraveling Regional Disparities in Early-Onset Colorectal Cancer Mortality Across the United States Between 2000 - 2022

S551 Unraveling Regional Disparities in Early-Onset Colorectal Cancer Mortality Across the United States Between 2000 - 2022

S357 Disparities in Colorectal Cancer Mortality Among Individuals with Chronic Kidney Disease in the United States: A CDC WONDER Database Analysis

S357 Disparities in Colorectal Cancer Mortality Among Individuals with Chronic Kidney Disease in the United States: A CDC WONDER Database Analysis

S10 Trends and Disparities in Pancreatic Cancer Mortality in the United States From 1999 to 2020

S10 Trends and Disparities in Pancreatic Cancer Mortality in the United States From 1999 to 2020

Status of uterine cervix cancer mortality and incidence disparities in Appalachian eastern Kentucky.

132 Background: Cervical cancer continues to affect the Appalachian population to a higher degree than the rest of the American population. Researchers believe the increased prevalence of cervical cancer in the Appalachian area is due to health disparities across the area. Methods: We queried the Kentucky Cancer Registries online public Cancer Incidence and Mortality Inquiry System to determine changes in age adjusted invasive cervical cancer incidence and mortality rates in Appalachian (AK) and Non-Appalachian Kentucky (NAK) counties over time. Incidence rate ratios were used to analyze the difference in cervical cancer incidence and mortality between Appalachian KY and non-Appalachian KY populations across several time periods. Results: In 1995-1999, there was a statistically significant difference in cervical cancer incidence between AK and NAK 14.8 vs. 12.7/100,000 people (p= 0.0035) and mortality 4.6 vs. 4.0/100,000 (p=0.0471). The cervical cancer incidence was 16.9% higher in AK versus NAK and mortality was 18.4% higher in AK versus NAK. In 2016-2020, there was a statistically significant difference in cervical cancer incidence between AK and NAK 12.1 vs. 8.9/100,000 people (p≤ 0.0001) and mortality between AK and NAK 3.6 vs. 2.3/100,000 people (p= 0.0001). The cervical cancer incidence was 36% higher in AK versus NAK and mortality was 55.7% higher in AK versus NAK. Conclusions: Disparities between in Appalachian Kentucky and Non-Appalachian Kentucky in cervical cancer incidence and mortality not only have persisted since the 1990’s, but they have widened proportionally over time as survival gains have lagged in Appalachia. The observed cervical cancer outcome disparities are likely contributed to by not only the lack of general health education in the region, but more importantly barriers to care access contributing to a lower use of Pap testing in the area. Higher rates of poverty, increased rates of smoking and HPV infection also likely play a role. Research has been conducted to observe identified opportunities for intervention and begin collaborative efforts in the region engineered towards a cervical cancer risk reduction program, but the need for improvement clearly remains. Cervical cancer mortality rates in Appalachian Kentucky vs. non-Appalachian Kentucky, 1995-2020. Appalachia Non-Appalachia Population at Risk Deaths Crude Rate/100,000 Age-Adjusted Rate 95% Confidence Interval Population at risk Deaths Crude Rate/100,000 Age-Adjusted Rate 95% Confidence Interval 1995-1999 2928468 145 5 4.6 [3.9-5.4] 7209127 301 4.2 4 [3.6-4.5] 2000-2004 2962204 102 3.4 3.2 [2.6-3.9] 7485965 214 2.9 2.7 [2.3-3.1] 2005-2009 2986284 117 3.9 3.5 [2.9-4.2] 7833348 225 2.9 2.6 [2.3-3.0] 2010-2015 3577269 141 3.9 3.4 [2.8-4.0] 9803897 277 2.8 2.5 [2.2-2.9] 2016-2020 2941022 121 4.1 3.6 [3.0-4.4] 8378683 221 2.6 2.3 [2.0-2.7]

Abstract A071: County-level racial and ethnic diversity index and cancer mortality in the U.S.

Abstract Background: The United States is experiencing a demographic trend of increasing racial and ethnic diversity. While persistent racial and ethnic disparities in cancer mortality are well documented, little is known about the impact of racial and ethnic diversity on cancer outcomes in the United States. Purpose: We examined associations between the U.S. county-level racial & ethnic diversity index and age-adjusted cancer mortality rates. We also assessed whether associations differed by geographic region, persistent poverty, and rurality. Methods: We used the U.S. Census Bureau’s 2020 Racial and Ethnic Diversity Index, which estimates the chance that two people chosen at random will be from different racial and ethnic groups. The diversity index was calculated at the county-level and categorized as follows: less than 35% (lowest), 35.0 to 44.9%, 45.0 to 54.9%, 55.0 to 64.9% and 65.0% or more (highest). We described county- level sociodemographic characteristics according to the diversity index categories. We calculated mean and standard errors of the county-level age-adjusted cancer mortality rates per 100,000 from 2016-2020 (overall and by site for the top four sites for cancer mortality) across the diversity index categories. We used multivariable linear regression models to examine associations between racial and ethnic diversity and cancer mortality, overall and by cancer site. We also assessed models stratified by geographic region (U.S. Census regions), persistent poverty and rurality. Results: Counties with more racial and ethnic diversity had a younger median age, a higher proportion of college graduates, and were less likely to be rural. Cancer mortality rates per 100,000 were lower in the most vs. least diverse counties, overall (144.7 vs. 164.6), and for lung (32.5 vs. 44.8), and colorectal cancer (13.0 vs. 15.6). In adjusted models, the highest vs. lowest racial and ethnic diversity was associated with a 7.25 decrease in overall cancer mortality rates (95% CI: -10.5 to -4.0), a 6.55 decrease in lung cancer mortality (95% CI: -8.0 to -5.1) and a 1.49 increase in breast cancer mortality (95% CI: 0.7 to 2.3). The diversity index was not associated with colorectal cancer mortality or pancreatic cancer mortality in adjusted models. Inverse associations of diversity index and overall cancer mortality were strongest in the South Census region (b=-13.0, 95% CI: -17.5 to -8.4), in non-persistent poverty counties (b=-9.0, 95% CI: -12.4 to -5.5), and in rural counties (b=-8.6, 95% CI: -13.2 to -4.1). Conclusions: Greater racial and ethnic diversity was associated with lower overall cancer mortality and lung cancer mortality rates, although it was associated with significantly higher breast cancer mortality rates. Findings help elucidate whether and how social factors may differentially impact subgroups of the population to influence cancer mortality. This study addresses an urgent need to explore contextual factors that may shape racial and ethnic disparities at the population level. Citation Format: Kelly A. Hirko, Breanna Greteman, Sabrina Ford, Sarah H. Nash. County-level racial and ethnic diversity index and cancer mortality in the U.S. [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A071.

Abstract C127: Patterns of mortality risk in insured patients with cancer by race/ethnicity and socioeconomic status in Southern California

Abstract Purpose. Several factors including, socioeconomic status (SES), access to screening and healthcare coverage, tumor biology, differences in disease management and care delivery in various healthcare settings, and implicit bias among healthcare providers contribute to mortality disparities in individuals with cancer. Further, health insurance is strongly associated with better survival. Previous studies that examined disparities in cancer mortality included patients with and without healthcare coverage, making it difficult to disentangle the effects of health insurance coverage from other SES factors. Thus, we evaluated the influence of race/ethnicity and geocoded SES on all-cause mortality in cancer patients with health insurance. Methods. We identified adults with health insurance coverage diagnosed with eight common cancers from 2009 to 2014 from the California Cancer Registry (stages I-IV) and followed them through 2017 (8 years maximum). Specifically, we identified those who lived in southern California counties. Patients had managed care, preferred provider organization, Medicare, Medicaid, dual Medicare and Medicaid, and other private insurance. We calculated person-year mortality rates by race/ethnicity and geocoded SES quintiles. Adjusted hazard ratios for the association between overall mortality and race/ethnicity and SES were estimated using Cox proportional hazards models accounting for other demographics, stage at diagnosis, and cancer treatments. Results. 164,197 adults were diagnosed with cancer originating from breast, prostate, lung, colon, skin melanoma, uterus, kidney, and bladder. For all racial/ethnic groups combined, the mortality rates from lowest to highest SES groups were 112.1/1000 PY (lowest); 100.2/1000 PY (lower-middle); 91.2/1000 PY (middle); 79.1/1000 PY (upper-middle); and 63.5/1000 PY (upper). These rates suggest that people with the lowest SES have a markedly increased mortality risk after cancer diagnosis even if they have health insurance. In multivariable analyses, those in the lowest SES group had a 40–78% increased risk of all-cause mortality compared to those in the upper SES group across all races/ethnicities. For example, within African Americans, the adjusted mortality risk was up to 61% higher (HR 1.61, 95% CI 1.41–1.83) in the lowest SES group compared to the highest SES group. Conclusion. This study suggests disparities in overall mortality risk after cancer diagnoses persist even in a cohort with health insurance, and that SES is an important driver of this disparity. Issues related to travel distance, access to transportation to cancer care facilities, and access to telemedicine may be magnified among those with lower SES during cancer care where optimal management becomes more complex. To potentially mitigate the effects of these social determinants, healthcare systems must either implement programs to support patients, or have partnerships with local community organizations to do so. All of this requires systems level support through social work, patient navigation, and cancer case management. Citation Format: Reina Haque, Amrita Mukherjee, Robert M. Cooper. Patterns of mortality risk in insured patients with cancer by race/ethnicity and socioeconomic status in Southern California [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C127.

Abstract A148: Perceptions of lung cancer screening among Native American patients: The Tribally Engaged Approaches to Lung Screening (TEALS) study

Abstract Introduction: Uptake of lung cancer screening (LCS) with low dose computed tomography is poor nationwide. The U.S. Native American (NA) population has a high prevalence of smoking and lung cancer mortality but low rates of LCS completion. Awareness and perceptions of LCS among NA men and women have rarely been studied. Methods: Using a community-engaged research approach in partnership with the Choctaw Nation Health Services Authority in Oklahoma, the “Tribally Engaged Approaches to Lung Screening” study developed and implemented a cluster-randomized controlled trial of a coordinated LCS program. In 2022, NA men and women eligible for LCS from six tribal health clinics completed a baseline survey prior to being referred for LCS. Surveys included demographic characteristics, smoking history, use of cancer preventive services, beliefs regarding personal risk of lung cancer, and perceptions toward LCS. Findings: Among 210 participants (57% women, 43% men), mean age was 63 years; 50% reported annual household income below $25,000, 83% completed high school or equivalent, with 40% having some college education. The median pack years of smoking was 46 years. The proportion of participants who currently smoke was 72%. Current cigarette users were slightly younger than former users (median age 61 vs 64 years, respectively) and similarly had lower maximum estimates of pack-years of use (median, 44 vs 52). Most (93%) had more than one primary care visit within the past 12 months, and 76% completed an annual physical or wellness visit in the past year. Overall, 73% had completed colonoscopy and, among women, 80% had a mammogram. Only 62% had heard about LCS. However, 74% agreed with the statement “It is likely that I will get lung cancer sometime in my lifetime”. More than 90% of participants agreed that LCS would help with each of the following: early detection, chances of dying from lung cancer, reduce personal worry about lung cancer, reduce their family’s worries, improve planning for the future and peace of mind. However, 44% worried that LCS would find “something wrong”, 15% endorsed that they would rather not know if they had any lung problems, and 10% were afraid the scan would damage their lungs. About 20% worried about being a social outcast or being blamed for having smoked. Regarding potential barriers, 32% felt that cost would be a problem, 28% felt they did not have the time, and 17% that transportation would be a problem. Overall,14% reported bad experiences with healthcare or a provider, and 8% did not trust the healthcare system. Regarding LCS, 28% felt they did not know enough about the test, 11% felt they were too old to benefit from LCS, and 8% felt LCS was not worth the effort. Conclusions: Perceptions of the potential benefits from LCS were overall favorable in this sample of NA adults. However, up to 30% perceived significant barriers to LCS uptake. Greater awareness of LCS and mitigation of barriers to LCS would help to reduce the marked disparities in lung cancer mortality among NA patients. Citation Format: Dorothy A. Rhoades, Cara Vaught, Ann Chou, Kathleen Dwyer, Mark P Doescher, Michele Gibson, Zsolt Nagykaldi. Perceptions of lung cancer screening among Native American patients: The Tribally Engaged Approaches to Lung Screening (TEALS) study [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A148.