The Ethics of Cancer Screening Based on Race and Ethnicity

Racial and ethnic disparities in incidence and mortality are well documented for many types of cancer. As a result, there is understandable policy and clinical interest in race- and ethnicity-based clinical screening guidelines to address cancer health disparities. Despite the theoretical benefits, such proposals do not typically address associated ethical considerations. Using the examples of gastric cancer and esophageal adenocarcinoma, which have demonstrated disparities according to race and ethnicity, this article examines relevant ethical arguments in considering screening based on race and ethnicity. Race- and ethnicity-based clinical preventive care services have the potential to improve the balance of harms and benefits of screening. As a result, programs focused on high-risk racial or ethnic groups could offer a practical alternative to screening the general population, in which the screening yield may be too low to demonstrate sufficient effectiveness. However, designing screening according to socially based categorizations such as race or ethnicity is controversial and has the potential for intersectional stigma related to social identity or other structurally mediated environmental factors. Other ethical considerations include miscategorization, unintended negative effects on health disparities, disregard for underlying risk factors, and the psychological costs of being assigned higher risk. Given the ethical considerations, the practical application of race and ethnicity in cancer screening is most relevant in multicultural countries if and only if alternative proxies are not available. Even in those instances, policymakers and clinicians should carefully address the ethical considerations within the historical and cultural context of the intended population. Further research on alternative proxies, such as social determinants of health and culturally based characteristics, could provide more adequate factors for risk stratification.

The Annual Cost of Cancer Screening in the United States

Background: Cancer has substantial health, quality-of-life, and economic impacts. Screening may decrease cancer mortality and treatment costs, but the cost of screening in the United States is unknown. Objective: To estimate the annual cost of initial cancer screening (that is, screening without follow-up costs) in the United States in 2021. Design: Model using national health care survey and cost resources data. Setting: U.S. health care systems and institutions. Participants: People eligible for breast, cervical, colorectal, lung, and prostate cancer screening with available data. Measurements: The number of people screened and associated health care system costs by insurance status in 2021 dollars. Results: Total health care system costs for initial cancer screenings in the United States in 2021 were estimated at $43 billion. Approximately 88.3% of costs were attributable to private insurance; 8.5% to Medicare; and 3.2% to Medicaid, other government programs, and uninsured persons. Screening for colorectal cancer represented approximately 64% of the total cost; screening colonoscopy represented about 55% of the total. Facility costs (amounts paid to facilities where testing occurred) were major drivers of the total estimated costs of screening. Limitations: All data on receipt of cancer screening are based on self-report from national health care surveys. Estimates do not include costs of follow-up for positive or abnormal screening results. Variations in costs based on geography and provider or health care organization are not fully captured. Conclusion: The $43 billion estimated annual cost for initial cancer screening in the United States in 2021 is less than the reported annual cost of cancer treatment in the United States in the first 12 months after diagnosis. Identification of cancer screening costs and their drivers is critical to help inform policy and develop programmatic priorities, particularly for enhancing access to recommended cancer screening services. Primary Funding Source: None.

Glucagon-Like Peptide-1 Receptor Agonists and Risk for Suicidal Ideation and Behaviors in U.S. Older Adults With Type 2 Diabetes: A Target Trial Emulation Study: Annals of Internal Medicine: Vol 177, No 8

Background: A major concern has recently emerged about a potential link between glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and increased risk for suicidal ideation and behaviors based on International Classification of Diseases codes. Objective: To investigate the association between GLP-1 RAs, compared with sodium–glucose cotransporter-2 inhibitors (SGLT2is) or dipeptidyl peptidase-4 inhibitors (DPP4is), and risk for suicidal ideation and behaviors in older adults with type 2 diabetes (T2D). Design: Two target trial emulation studies comparing propensity score (PS)–matched cohorts for GLP-1 RAs versus SGLT2is and GLP-1 RAs versus DPP4is. Setting: U.S. national Medicare administrative data from January 2017 to December 2020. Patients: Older adults (≥66 years) with T2D; no record of suicidal ideation or behaviors; and a first prescription for a GLP-1 RA, SGLT2i, or DPP4i. Measurements: The primary end point was a composite of suicidal ideation and behaviors. New GLP-1 RA users were matched 1:1 on PS to new users of an SGLT2i or DPP4i in each pairwise comparison. A Cox proportional hazards regression was used to estimate the hazard ratio (HR) and 95% CIs within matched groups. Results: This study included 21 807 pairs of patients treated with a GLP-1 RA versus an SGLT2i and 21 402 pairs of patients treated with a GLP-1 RA versus a DPP4i. The HR of suicidal ideation and behaviors associated with GLP-1 RAs relative to SGLT2is was 1.07 (95% CI, 0.80 to 1.45; rate difference, 0.16 [CI, −0.53 to 0.86] per 1000 person-years); the HR relative to DPP4is was 0.94 (CI, 0.71 to 1.24; rate difference, −0.18 [CI, −0.92 to 0.57] per 1000 person-years). Limitations: Low event rate; imprecise estimates; unmeasured confounders, such as body mass index; and potential misclassification of outcomes. Conclusion: Among Medicare beneficiaries with T2D, this study found no clear increased risk for suicidal ideation and behaviors with GLP-1 RAs, although estimates were imprecise and a modest adverse risk could not be ruled out. Primary Funding Source: American Foundation for Pharmaceutical Education, Pharmaceutical Research and Manufacturers of America Foundation, National Institute on Aging, and National Institute of Diabetes and Digestive and Kidney Diseases.

Trends in Diet Quality Among U.S. Adults From 1999 to 2020 by Race, Ethnicity, and Socioeconomic Disadvantage

Background: Few data have assessed trends in diet quality among U.S. adults. Objective: To evaluate trends in diet quality by race, ethnicity, and socioeconomic disadvantage. Design: Repeated cross-sectional study. Setting: United States. Participants: Noninstitutionalized adults aged 20 years or older who responded to the 1999–2020 National Health and Nutrition Examination Survey (NHANES). Measurements: The proportion of participants meeting the targets of the validated American Heart Association (AHA) 2020 continuous diet score (based on higher intake of fruits, vegetables, whole grains, fish and shellfish, and nuts, seeds, and legumes and lower intake of sugar-sweetened beverages, processed meat, saturated fat, and sodium) and the Healthy Eating Index (HEI)-2015, and energy-adjusted consumption of their components and other individual food groups and nutrients. Poor diet was defined as less than 40% adherence to the AHA score, intermediate as 40% to 79.9% adherence, and ideal as at least 80% adherence. Results: A total of 51 703 adults were included. From 1999 to 2020, the proportion of U.S. adults with poor diet quality decreased from 48.8% to 37.4% (difference, −11.4 percentage points [95% CI, −16.8 to −5.96 percentage points]), the proportion with intermediate quality increased from 50.6% to 61.1% (difference, 10.5 percentage points [CI, 5.20 to 16.1 percentage points]), and the proportion with ideal quality increased from 0.66% to 1.58% (difference, 0.93 percentage points [CI, 0.35 to 1.51 percentage points]) (P for trend < 0.001 for each). Persistent or worsening disparities in diet quality were observed by age, sex, race and ethnicity, education, income, food security, Supplemental Nutrition Assistance Program participation, and health insurance coverage. For example, the proportion of adults with poor diet quality decreased from 47.9% to 33.0% among those with food security (P for trend < 0.001) but did not change (51.3% to 48.2%) among those experiencing food insecurity (P for trend = 0.140) (P for interaction = 0.001). Findings were similar for HEI-2015. Limitations: Self-reported diet; cross-sectional study design. Conclusion: Diet quality among U.S. adults improved modestly between 1999 and 2020, but the proportion with poor diet quality remains high, and dietary disparities persist or are worsening. Primary Funding Source: National Institutes of Health.

Healing the Sick: A Timeline of Altruism

Census Tract Rurality, Predominant Race and Ethnicity, and Distance to Lung Cancer Screening Facilities: An Ecological Study: Annals of Internal Medicine: Vol 178, No 2

Background: The U.S. Preventive Services Task Force recommends annual lung cancer screening (LCS) for adults who meet specific age and smoking history criteria. Objective: To evaluate race-, ethnicity-, and rurality-based differences in distance to the nearest LCS facility. Design: Cross-sectional ecological study. Setting: U.S. census tracts. Participants: 71 691 census tracts. Measurements: The outcome variable was road network distance in miles between a census tract and the nearest LCS facility. Distance was log-transformed, and geometric means are reported. Census tracts were classified as majority (>50%) American Indian/Alaska Native (AI/AN), Asian, Black, non-Hispanic White (NHW), no single race, or Hispanic. Rurality was defined using the rural-urban commuting area codes. Ordinary least-squares regression examined the associations between distance and census tract race, ethnicity, and rurality. Results: Geometric mean distance to the nearest LCS facility was 6.5 miles. Compared with NHW-majority census tracts, distance to the nearest LCS facility was 5.26 times (426%) longer in AI/AN-majority census tracts and 7% to 39% shorter in Asian-, Black-, and Hispanic-majority census tracts. Adjustment for rurality reduced the mean distance in AI/AN-majority census tracts, but the mean distance was still 3.16 times the distance in NHW-majority census tracts. Adjustment for rurality reduced the observed advantage in Asian- and Black-majority census tracts and changed the direction of associations in Hispanic-majority census tracts. Limitation: Analyses did not account for travel time or cost. Conclusion: Differences exist in distance to LCS facilities by race and ethnicity that can only be partially explained by rurality. Primary Funding Source: Lung Ambition Alliance and the Center for Lung Research in Honor of Wayne Gittinger.

Association Between False-Positive Results and Return to Screening Mammography in the Breast Cancer Surveillance Consortium Cohort

Background: False-positive results on screening mammography may affect women’s willingness to return for future screening. Objective: To evaluate the association between screening mammography results and the probability of subsequent screening. Design: Cohort study. Setting: 177 facilities participating in the Breast Cancer Surveillance Consortium (BCSC). Patients: 3 529 825 screening mammograms (3 184 482 true negatives and 345 343 false positives) performed from 2005 to 2017 among 1 053 672 women aged 40 to 73 years without a breast cancer diagnosis. Measurements: Mammography results (true-negative result or false-positive recall with a recommendation for immediate additional imaging only, short-interval follow-up, or biopsy) from 1 or 2 screening mammograms. Absolute differences in the probability of returning for screening within 9 to 30 months of false-positive versus true-negative screening results were estimated, adjusting for race, ethnicity, age, time since last mammogram, BCSC registry, and clustering within women and facilities. Results: Women were more likely to return after a true-negative result (76.9% [95% CI, 75.1% to 78.6%]) than after a false-positive recall for additional imaging only (adjusted absolute difference, −1.9 percentage points [CI, −3.1 to −0.7 percentage points]), short-interval follow-up (−15.9 percentage points [CI, −19.7 to −12.0 percentage points]), or biopsy (−10.0 percentage points [CI, −14.2 to −5.9 percentage points]). Asian and Hispanic/Latinx women had the largest decreases in the probability of returning after a false positive with a recommendation for short-interval follow-up (−20 to −25 percentage points) or biopsy (−13 to −14 percentage points) versus a true negative. Among women with 2 screening mammograms within 5 years, a false-positive result on the second was associated with a decreased probability of returning for a third regardless of the first screening result. Limitation: Women could receive care at non-BCSC facilities. Conclusion: Women were less likely to return to screening after false-positive mammography results, especially with recommendations for short-interval follow-up or biopsy, raising concerns about continued participation in routine screening among these women at increased breast cancer risk. Primary Funding Source: National Cancer Institute.

Effectiveness of Integrating Suicide Care in Primary Care: Secondary Analysis of a Stepped-Wedge, Cluster Randomized Implementation Trial: Annals of Internal Medicine: Vol 177, No 11

Background: Primary care encounters are common among patients at risk for suicide. Objective: To evaluate the effectiveness of implementing population-based suicide care (SC) in primary care for suicide attempt prevention. Design: Secondary analysis of a stepped-wedge, cluster randomized implementation trial. (ClinicalTrials.gov: NCT02675777) Setting: 19 primary care practices within a large health care system in Washington State, randomly assigned launch dates. Patients: Adult patients (aged ≥18 years) with primary care visits from January 2015 to July 2018. Intervention: Practice facilitators, electronic medical record (EMR) clinical decision support, and performance monitoring supported implementation of depression screening, suicide risk assessment, and safety planning. Measurements: Clinical practice and patient measures relied on EMR and insurance claims data to compare usual care (UC) and SC periods. Primary outcomes included documented safety planning after population-based screening and suicide risk assessment and suicide attempts or deaths (with self-harm intent) within 90 days of a visit. Mixed-effects logistic models regressed binary outcome indicators on UC versus SC, adjusted for randomization stratification and calendar time, accounting for repeated outcomes from the same site. Monthly outcome rates (percentage per 10 000 patients) were estimated by applying marginal standardization. Results: During UC, 255 789 patients made 953 402 primary care visits and 228 255 patients made 615 511 visits during the SC period. The rate of safety planning was higher in the SC group than in the UC group (38.3 vs. 32.8 per 10 000 patients; rate difference, 5.5 [95% CI, 2.3 to 8.7]). Suicide attempts within 90 days were lower in the SC group than in the UC group (4.5 vs. 6.0 per 10 000 patients; rate difference, −1.5 [CI, −2.6 to −0.4]). Limitation: Suicide care was implemented in combination with care for depression and substance use. Conclusion: Implementation of population-based SC concurrent with a substance use program resulted in a 25% reduction in the suicide attempt rate in the 90 days after primary care visits. Primary Funding Source: National Institute of Mental Health.

Epidemiology of Homebound Population Among Beneficiaries of a Large National Medicare Advantage Plan

Background: Interest in home-based care is increasing among Medicare Advantage (MA) plans. The epidemiology of homebound MA beneficiaries is unknown. Objective: To determine the prevalence, characteristics, predictors, health service use, and mortality outcomes of homebound beneficiaries of a large national MA plan. Design: Cross-sectional. Setting: National MA plan. Participants: Humana MA beneficiaries in 2022 (n = 2 435 519). Measurements: Homebound status was assessed via in-home assessment using previously defined categories: homebound (never or rarely left home in the past month), semihomebound (left home with assistance, had difficulty, or needed help leaving home), and not homebound. Demographic, clinical, health service use, and mortality outcomes were compared by homebound status. Results: In 2022, the overall prevalence of homebound beneficiaries was 22.0% (8.4% of beneficiaries were homebound, and 13.6% were semihomebound). In adjusted models, female sex (odds ratio [OR], 1.36 [95% CI, 1.35 to 1.37), low-income status or dual eligibility for Medicare and Medicaid (OR, 1.56 [CI, 1.55 to 1.57]), dementia (OR, 2.36 [CI, 2.33 to 2.39]), and moderate to severe frailty (OR, 4.32 [CI, 4.19 to 4.45]) were predictive of homebound status. In multivariable logistic regression, homebound status was associated with increased odds of any emergency department visit (OR, 1.14 [ CI, 1.14 to 1.15]), any inpatient hospital admission (OR, 1.44 [CI, 1.42 to 1.46]), any skilled-nursing facility admission (OR, 2.18 [CI, 2.13 to 2.23]), and death (OR, 2.55 [CI, 2.52 to 2.58]). Limitation: The study period overlapped the tail end of the COVID-19 pandemic, and data were derived from a single national MA plan, which limits generalizability. Conclusion: Overall homebound prevalence in a national MA plan was 22.0% and was independently associated with increased health service use and mortality. Study findings can inform strategic initiatives to identify and manage care for homebound beneficiaries. Primary Funding Source: Humana, under a collaborative research agreement with Johns Hopkins University.

Trends and Disparities in Ambulatory Follow-Up After Cardiovascular Hospitalizations: A Retrospective Cohort Study: Annals of Internal Medicine: Vol 177, No 9

Background: Timely follow-up after cardiovascular hospitalization is recommended to monitor recovery, titrate medications, and coordinate care. Objective: To describe trends and disparities in follow-up after acute myocardial infarction (AMI) and heart failure (HF) hospitalizations. Design: Retrospective cohort study. Setting: Medicare. Participants: Medicare fee-for-service beneficiaries hospitalized between 2010 and 2019. Measurements: Receipt of a cardiology visit within 30 days of discharge. Multivariable logistic regression models were used to estimate changes over time overall and across 5 sociodemographic characteristics on the basis of known disparities in cardiovascular outcomes. Results: The cohort included 1 678 088 AMI and 4 245 665 HF hospitalizations. Between 2010 and 2019, the rate of cardiology follow-up increased from 48.3% to 61.4% for AMI hospitalizations and from 35.2% to 48.3% for HF hospitalizations. For both conditions, follow-up rates increased for all subgroups, yet disparities worsened for Hispanic patients with AMI and patients with HF who were Asian, Black, Hispanic, Medicaid dual eligible, and residents of counties with higher levels of social deprivation. By 2019, the largest disparities were between Black and White patients (AMI, 51.9% vs. 59.8%, difference, 7.9 percentage points [pp] [95% CI, 6.8 to 9.0 pp]; HF, 39.8% vs. 48.7%, difference, 8.9 pp [CI, 8.2 to 9.7 pp]) and Medicaid dual-eligible and non–dual-eligible patients (AMI, 52.8% vs. 60.4%, difference, 7.6 pp [CI, 6.9 to 8.4 pp]; HF, 39.7% vs. 49.4%, difference, 9.6 pp [CI, 9.2 to 10.1 pp]). Differences between hospitals explained 7.3 pp [CI, 6.7 to 7.9 pp] of the variation in follow-up for AMI and 7.7 pp [CI, 7.2 to 8.1 pp]) for HF. Limitation: Generalizability to other payers. Conclusion: Equity-informed policy and health system strategies are needed to further reduce gaps in follow-up care for patients with AMI and patients with HF. Primary Funding Source: National Institute on Aging.