Racial Disparities in Lung Cancer Screening Among Veterans, 2013 to 2021

Disparities across the continuum of lung cancer care: a review of recent literature

PURPOSE OF REVIEW

Lung cancer remains the leading cause of cancer mortality worldwide. Health disparities have long been noted in lung cancer incidence and survival and persist across the continuum of care. Understanding the gaps in care that arise from disparities in lung cancer risk, screening, treatment, and survivorship are essential to guiding efforts to achieve equitable care.

RECENT FINDINGS

Recent literature continues to show that Black people, women, and people who experience socioeconomic disadvantage or live in rural areas experience disparities throughout the spectrum of lung cancer care. Contributing factors include structural racism, lower education level and health literacy, insurance type, healthcare facility accessibility, inhaled carcinogen exposure, and unmet social needs. Promising strategies to improve lung cancer care equity include policy to reduce exposure to tobacco smoke and harmful pollutants, more inclusive lung cancer screening eligibility criteria, improved access and patient navigation in lung cancer screening, diagnosis and treatment, more deliberate offering of appropriate surgical and medical treatments, and improved availability of survivorship and palliative care.

SUMMARY

Given ongoing disparities in lung cancer care, research to determine best practices for narrowing these gaps and to guide policy change are an essential focus of future lung cancer research.

Patient Lung Cancer Screening Decisions and Environmental and Psychosocial Factors

Importance

Screening for lung cancer using low-dose computed tomography is associated with reduced lung cancer-specific mortality, but uptake is low in the US; understanding how patients make decisions to engage with lung cancer screening is critical for increasing uptake. Prior research has focused on individual-level psychosocial factors, but environmental factors (eg, historical contexts that include experiencing racism) and modifying factors-those that can be changed to make it easier or harder to undergo screening-also likely affect screening decisions.

Objective

To investigate environmental, psychosocial, and modifying factors influencing lung cancer screening decision-making and develop a conceptual framework depicting relationships between these factors.

Design, Setting, and Participants

This multimethod qualitative study was conducted from December 2021 to June 2022 using virtual semistructured interviews and 4 focus groups (3-4 participants per group). All participants met US Preventive Services Task Force eligibility criteria for lung cancer screening (ie, age 50-80 years, at least a 20 pack-year smoking history, and either currently smoke or quit within the past 15 years). Screening-eligible US participants were recruited using an online panel.

Main Outcomes and Measures

Key factors influencing screening decisions (eg, knowledge, beliefs, barriers, and facilitators) were the main outcome. A theory-informed, iterative inductive-deductive approach was applied to analyze data and develop a conceptual framework summarizing results.

Results

Among 34 total participants (interviews, 20 [59%]; focus groups, 14 [41%]), mean (SD) age was 59.1 (4.8) years and 20 (59%) identified as female. Half had a household income below $20 000 (17 [50%]). Participants emphasized historical and present-day racism as critical factors contributing to mistrust of health care practitioners and avoidance of medical procedures like screening. Participants reported that other factors, such as public transportation availability, also influenced decisions. Additionally, participants described psychosocial processes involved in decisions, such as perceived screening benefits, lung cancer risk appraisal, and fear of a cancer diagnosis or harmful encounters with practitioners. In addition, participants identified modifying factors (eg, insurance coverage) that could make receiving screening easier or harder.

Conclusions and Relevance

In this qualitative study of patient lung cancer screening decisions, environmental, psychosocial, and modifying factors influenced screening decisions. The findings suggest that systems-level interventions, such as those that help practitioners understand and discuss patients' prior negative health care experiences, are needed to promote effective screening decision-making.

Comparison of Racial and Ethnic Mortality Disparities among Post-9/11 Veterans with and without Traumatic Brain Injury to the Total U.S. Adult Population

INTRODUCTION

The extent of racial/ethnic disparities and whether they are attenuated in the Veteran population compared to the total US population is not well understood. We aimed to assess racial/ethnic mortality disparities from all-cause, cardiovascular (CVD) and cancer among post-9/11 military Veterans with and without exposure to TBI, compared to the total US population.

METHODS

This cohort study included 2,502,101 US military Veterans (18,932,083 person-years) who served after 09/11/2001 with 3 or more years of care in the Military Health System (MHS); or had 3 or more years of care in the MHS and 2 or more years of care in the Veterans Health Administration. Mortality follow-up occurred from 01/01/2002 to 12/31/2020. Mortality rate ratios (MRR) from negative binomial regression models were reported for racial/ethnic groups compared to White non-Hispanic Veterans for all-cause, CVD and cancer mortality. Veteran MRR were compared to the total US population.

RESULTS

Mortality rates for Black Non-Hispanic Veterans were higher for all-cause (MRR = 1.21;95%CI: 1.13-1.29; p < 0.001), CVD (MRR = 1.78;95%CI: 1.62-1.96; p < 0.001) and cancer (MRR = 1.17;95%CI: 1.10-1.25; p < 0.001) than in White Non-Hispanic Veterans. Among Veterans with TBI, only Black Non-Hispanics had higher mortality than White Non-Hispanics and only for CVD (MRR = 1.32;95%CI: 1.12-1.54; p < 0.001), while CVD mortality was higher among Veterans without TBI (MRR = 1.77;95%CI: 1.63-1.93;p < 0.001). MRR for Black Non-Hispanics in the total US population, were consistently higher than those in the Veteran population for all-cause (MRR = 1.52;95%CI: 1.46-1.58; p < 0.001), CVD (MRR = 2.03;95%CI: 1.95-2.13; p < 0.001) and cancer (MRR = 1.26;95%CI: 1.22-1.30; p < 0.001).

CONCLUSION

This Veteran cohort experienced less racial/ethnic disparity in mortality than the total US population, especially among Veterans with TBI.

Artificial Intelligence in Radiology: Opportunities and Challenges

Artificial intelligence's (AI) emergence in radiology elicits both excitement and uncertainty. AI holds promise for improving radiology with regards to clinical practice, education, and research opportunities. Yet, AI systems are trained on select datasets that can contain bias and inaccuracies. Radiologists must understand these limitations and engage with AI developers at every step of the process - from algorithm initiation and design to development and implementation - to maximize benefit and minimize harm that can be enabled by this technology.

Quantifying the Value of Reduced Health Disparities: Low-Dose Computed Tomography Lung Cancer Screening of High-Risk Individuals Within the United States

OBJECTIVE

This study aimed to measure the value of increasing lung cancer screening rates for high-risk individuals and its impact on health disparities.

METHODS

The model estimated changes in health economic outcomes if low-dose computed tomography screening increased from current to 100% compliance, following clinical guidelines. Current low-dose computed tomography screening rates were estimated by income, education, and race, using 2017-2019 Behavioral Risk Factor Surveillance System data. The model contained a decision tree module to segment the population by screening outcomes and a Markov chain module to estimate cancer progression over time. Model parameters included information on survival, quality of life, and costs related to cancer diagnosis, treatment, and adverse events. Distributional cost-effectiveness analysis estimated the net monetary value from reduced health disparities-measured using quality-adjusted life expectancy-across income, education, and race groups. Outcomes were assessed over 30 years.

RESULTS

Lung cancer screening eligibility using US Preventive Services Task Force guidelines was higher for individuals with income <$15 000 (47.2%) and without a high-school education (46.1%) than individuals with income >$50 000 (16.6%) and with a college degree (13.5%), respectively. Increasing lung cancer screening to 100% compliance was cost-effective ($64 654 per quality-adjusted life-year) and produced economic value by up to $560 per person ($182.1 billion for United States overall). Up to 32.2% of the value was due to reductions in health disparities.

CONCLUSIONS

Significant value in increasing lung cancer screening rates derived from reducing health disparities. Policy makers and clinicians may not be appropriately prioritizing cancer screening if value from reducing health disparities is unconsidered.