Racial and Ethnic Differences in Distress, Depression, and Quality of Life in people with hemophilia

Hemophilia-related distress (HRD) has been shown to be higher among those with lower educational attainment, but potential racial/ethnic differences have not been previously described. Thus, we examined HRD according to race/ethnicity. This cross-sectional study was a planned secondary analysis of the hemophilia-related distress questionnaire (HRDq) validation study data. Adults aged ≥ 18 years with Hemophilia A or B were recruited from one of two hemophilia treatment centers between July 2017-December 2019. HRDq scores can range from 0-120, and higher scores indicate higher distress. Self-reported race/ethnicity was grouped as Hispanic, non-Hispanic White (NHW) and non-Hispanic Black (NHB). Unadjusted and multivariable linear regression models were used to examine mediators of race/ethnicity and HRDq scores. Among 149 participants enrolled, 143 completed the HRDq and were included in analyses. Approximately 17.5% of participants were NHB, 9.1% were Hispanic and 72.0% were NHW. HRDq scores ranged from 2 to 83, with a mean of 35.1 [standard deviation (SD) = 16.5]. Average HRDq scores were significantly higher among NHB participants (mean = 42.6,SD = 20.6; p-value = .038) and similar in Hispanic participants (mean = 33.8,SD = 16.7, p-value = .89) compared to NHW (mean = 33.2,SD = 14.9) participants. In multivariable models, differences between NHB vs NHW participants persisted when adjusting for inhibitor status, severity, and target joint. However, after household income was adjusted for, differences in HRDq scores were no longer statistically significant (β = 6.0 SD = 3.7; p-value = .10). NHB participants reported higher HRD than NHW participants. Household income mediated higher distress scores in NHB compared to NHW participants, highlighting the urgent need to understand social determinants of health and financial hardship in persons with hemophilia.

Race and ethnicity reporting and representation in hemophilia clinical trials

ABSTRACT

Racial and ethnic representativeness in clinical trials is crucial to mitigate disparities in outcomes; however, diversity among hemophilia trials is unknown. The aim of this study is to examine the reporting and representation of race and ethnicity in trials of people with hemophilia (PwH). In this cross-sectional study, the ClinicalTrials.gov database was queried in April 2023 for interventional clinical trials involving PwH between 2007 and 2022. The distribution of participants (observed) was compared with expected proportions based on US Hemophilia Treatment Center (HTC) and country-specific census data with observed-to-expected ratios (OERs). Of 129 trials included, 94.6% were industry sponsored, with a mean of 62 participants and mean age of 26.8 years. Overall, 52.0% (n = 66) of trials reported data on race and ethnicity, increasing from 13.9% in 2007-2012 to 22.5% in 2013-2016 to 100% in 2017-2022 (P = .001). Among these 66 trials, 65.8%, 22.8%, 5.1%, 3.9% of participants were White, Asian, Hispanic, and Black, respectively. OERs were 10% to 20% lower for White participants vs US HTC, and US, UK, and Canadian census populations and ∼75% lower for Black or Hispanic participants when compared with US HTC and US census population. OERs for Asian participants were 1.6 to 3 times higher than Canada, US, and UK census populations. The reporting of race and ethnicity in hemophilia trials has drastically improved; however, Black and Hispanic PwH remain especially underrepresented. To address these disparities, stakeholders across the clinical trial enterprise need to implement strategies to ensure equitable participation.

Race and ethnicity and the success of immune tolerance induction among people with severe haemophilia A in the United States

INTRODUCTION

Immune tolerance induction (ITI) is the only treatment to eradicate inhibitors in people with severe haemophilia A with inhibitors. Since the risk of inhibitor development is greater among Black and Hispanic persons, it has been hypothesized that race and ethnicity may influence ITI success. Limited studies have evaluated this hypothesis.

AIM

To examine the success of ITI according to race and ethnicity.

METHODS

Participants who entered the Community Counts (CC) Registry between 2013 and 2017, were aged ≥3 years at study entry, and received ITI were included (n = 559). The proportion of participants with successful ITI was examined with adjusted prevalence ratios (aPRs) and corresponding 95% confidence intervals (95% CIs).

RESULTS

Among 559 participants, 56.9%, 19.1%, 18.1% and 4.3% were Non-Hispanic (NH) White, NH Black, Hispanic and Asian, respectively, and 1.7% were coded as other or missing. Approximately 80% of Hispanic, NH Black and NH White participants had good/very good prognosis, defined as having a pre-ITI peak inhibitor of < 200 Bethesda Units per millilitre. Nearly 60% of participants (59.7%) achieved successful ITI, 20.7% and 19.5% experienced partially successful or failed ITI, respectively. Successful ITI was non-significantly lower in NH Black (54.2%; aPR = 0.95, 95% CI 0.62-1.44) and Hispanic (55.4%; aPR = 0.89, 95% CI 0.71-1.13) relative to NH White participants (62.6%).

CONCLUSION

In this study, 60% of participants in the CC Registry had successful ITI, consistent with previous studies. The proportion with successful ITI was generally comparable across racial and ethnic groups with similar prognosis. These findings do not support the hypothesis that ITI response varies according to race or ethnicity.

Defining the impact of immune tolerance induction on clinically relevant outcomes in a US cohort of severe hemophilia A

ABSTRACT

Although the near-term benefit of immune tolerance induction (ITI) for the treatment of people with severe hemophilia A with inhibitor is apparent, the magnitude of the longer-term impact of ITI on clinical outcomes remains undefined. We examined the association between receiving ITI and the success of ITI on clinical outcomes including (1) clinical events, (2) health care use, (3) quality of life/function, (4) socioeconomic status, and (5) death, using the Community Counts (CC) registry of US Hemophilia Treatment Centers between 2013 and 2017. Multivariate logistic regression, negative binomial, and Poisson models were used. Included in this study were 3659 people with severe hemophilia A with median age of 21 years when entering the CC registry. Among 576 participants with inhibitors, 485 had received ITI (84%). ITI was successful in 299 (61.7%) and partially successful or failed in 95 (19.5%) or 91 (18.7%), respectively. Those that received ITI had fewer treated bleeds, less chronic pain, better function, and higher educational attainment than those not receiving ITI. Successful vs partially successful and failed ITI was associated with fewer treated bleeds, less health care use, less chronic pain, better function, and fewer missed days of school or work. Mortality was not associated with ITI, regardless of its success. Those with successful ITI had similar rates of treated bleeds, chronic pain, and health care use as those with no inhibitors. Undergoing ITI, particularly if successful, improved clinical outcomes but not mortality. These findings support decision making regarding initiation of ITI and inform future clinical trials.

Incarceration History and Access to and Receipt of Health Care in the US

Importance

People with a history of incarceration may experience barriers in access to and receipt of health care in the US.

Objective

To examine the associations of incarceration history and access to and receipt of care and the contribution of modifiable factors (educational attainment and health insurance coverage) to these associations.

Design, Setting, and Participants

Individuals with and without incarceration history were identified from the 2008 to 2018 National Longitudinal Survey of Youth 1979 cohort. Analyses were conducted from October 2022 to December 2023.

Main Measures and Outcomes

Access to and receipt of health care were measured as self-reported having usual source of care and preventive service use, including physical examination, influenza shot, blood pressure check, blood cholesterol level check, blood glucose level check, dental check, and colorectal, breast, and cervical cancer screenings across multiple panels. To account for the longitudinal study design, we used the inverse probability weighting method with generalized estimating equations to evaluate associations of incarceration history and access to care. Separate multivariable models examining associations between incarceration history and receipt of each preventive service adjusted for sociodemographic factors; sequential models further adjusted for educational attainment and health insurance coverage to examine their contribution to the associations of incarceration history and access to and receipt of health care.

Results

A total of 7963 adults with 41 614 person-years of observation were included in this study; of these, 586 individuals (5.4%) had been incarcerated, with 2800 person-years of observation (4.9%). Compared with people without incarceration history, people with incarceration history had lower percentages of having a usual source of care or receiving preventive services, including physical examinations (69.6% vs 74.1%), blood pressure test (85.6% vs 91.6%), blood cholesterol level test (59.5% vs 72.2%), blood glucose level test (61.4% vs 69.4%), dental check up (51.1% vs 66.0%), and breast (55.0% vs 68.2%) and colorectal cancer screening (65.6% vs 70.3%). With additional adjustment for educational attainment and health insurance, the associations of incarceration history and access to care were attenuated for most measures and remained statistically significant for measures of having a usual source of care, blood cholesterol level test, and dental check up only.

Conclusions and Relevance

The results of this survey study suggest that incarceration history was associated with worse access to and receipt of health care. Educational attainment and health insurance may contribute to these associations. Efforts to improve access to education and health insurance coverage for people with an incarceration history might mitigate disparities in care.

Race, ethnicity, and immune tolerance induction in hemophilia A in the United States

Background

In racially diverse communities, treatment of chronic diseases can vary across racial and ethnic groups.

Objectives

To examine healthcare disparities in hemophilia care in the United States by evaluating receipt of immune tolerance induction (ITI) among different racial and ethnic groups.

Methods

In this cross-sectional study, people with severe hemophilia A with an inhibitor who entered the Center for Disease Control and Prevention Community Counts registry between 2013 and 2017, were aged ≥5 years at study entry, and had a history of an inhibitor (n = 614) were included. The proportion of participants receiving ITI was examined according to race and ethnicity in bivariable analysis and multivariable analysis adjusting for demographic and clinical covariates. Unadjusted and adjusted prevalence ratios and corresponding 95% CIs were computed.

Results

Among 614 participants included in the study, 56.4% were non-Hispanic (NH) White, 19.7% were NH Black, 18.4% were Hispanic, and 4.9% were Asian. ITI was received by 85.2% of participants. On bivariable analysis, ITI treatment did not vary by race or ethnicity. On multivariable analysis, NH Black and Hispanic participants were significantly less likely to receive ITI compared to NH White participants (adjusted prevalence ratio, 0.91 [95% CI, 0.84-0.99] and 0.84 [95% CI, 0.75-0.93], respectively).

Conclusion

Although the role of ITI may evolve with growing use of emicizumab and the introduction of new hemophilia treatment products, understanding characteristics that influence care, particularly race and ethnicity, where physician bias and patient mistrust can occur, will remain relevant and applicable to other complex therapies, including gene therapy.

Racial and ethnic differences in reported haemophilia death rates in the United States

INTRODUCTION

People with haemophilia's life expectancies have improved over time. Whether progress has been experienced equitably is unknown.

AIM

To examine recorded haemophilia death (rHD) rates according to race and ethnicity in the United States (US).

METHODS

In this cohort study, rHDs were examined with US National Vital Statistics' 1999-2020 Multiple Cause-of-Death data. rHD was defined as having a haemophilia A (D66) or B (D67) ICD-10 code in the death certificate (underlying or multiple causes of death). Age-adjusted rHD rates were compared with age-adjusted rate ratios (aRR) and 95% Confidence Intervals (CI).

RESULTS

There were 3115 rHDs in males with an rHD rate of 0.98 per 1 million males. Between 1999 and 2020, rHD rates declined by 46% in NH (Non-Hispanic) White, 44% in NH Black (aRR = 0.56, 95%CI 0.43, 0.74), and 42% in Hispanic (aRR = 0.58, 95%CI 0.39, 0.88) males. However, rHD rates remained higher and were on average 30% greater in NH Black versus NH White males (aRR = 1.30 95% CI 1.16, 1.46). Among males with rHD, the median age at death rose from 54.5 to 65.5 years between 1999 and 2020 and was 12 years lower in NH Black (56 years) versus NH White (68 years) males in 2010-2020. There were 930 females with rHD, with an age-adjusted rate of 0.22 per 1 million females, which was consistent between 1999 and 2020.

CONCLUSION

Reported haemophilia-death rates improved in males across all race/ethnicities, but rates were higher Black versus White males. Given the inherent limitations of the current study's data source, further investigation of survival rates and disparities in haemophilia are needed.

Past Disruptions in Health Insurance Coverage and Access to Care Among Insured Adults

INTRODUCTION

Although the association between health insurance coverage and access to care is well documented, it is unclear whether the deleterious effects of being uninsured are strictly contemporaneous or whether previous disruptions in coverage have persistent effects. This study addresses this issue using nationally representative data covering 2011-2019 to estimate the extent to which disruptions in health insurance coverage continued to be associated with poor access even after coverage was regained.

METHODS

Analysis was conducted in 2022. Using a nationally representative cohort of insured adults aged 18-64 years (N=39,904) and multivariable logistic regression models, the authors estimated the association between past disruptions in coverage (occurring at least 1 year before) and the risks of lacking a usual source of care provider and having unmet medical need.

RESULTS

Among insured nonelderly adults, the risk of being without a usual source of care provider was between 18% (risk ratio=1.18; 95% CI=1.00, 1.38) and 75% higher (risk ratio=1.75; 95% CI=1.56, 1.93) than for those with continuous coverage; the risk of having unmet medical needs was between 41% (risk ratio=1.41; 95% CI=1.00, 1.83) and 66% (risk ratio=1.66; 95% CI=1.26, 2.06) higher. Longer insurance disruptions were associated with a higher risk of lacking a usual source of care provider.

CONCLUSIONS

Previous disruptions in health insurance coverage continued to be negatively associated with access to care for more than a year after coverage was regained. Improving access to care in the U.S. may require investing in policies and programs that help to strengthen coverage continuity among individuals with insurance coverage rather than focusing exclusively on helping uninsured individuals to gain coverage.

Access to Care Among Adults with Limited English Proficiency

BACKGROUND

There are approximately 25.6 million individuals with limited English proficiency (LEP) in the USA, and this number is increasing.

OBJECTIVE

Investigate associations between LEP and access to care in adults.

DESIGN

Cross-sectional nationally representative survey.

PARTICIPANTS

Adults with (n = 18,908) and without (n = 98,060) LEP aged ≥ 18 years identified from the 2014-2018 Medical Expenditure Panel Survey MAIN MEASURES: Associations between LEP and access to healthcare and preventive services were evaluated with multivariable logistic regression models, stratified by age group (18-64 and ≥ 65 years). The official government definition of LEP (answers "not at all/not well/well" to the question "How well do you speak English?") was used. Access to care included having a usual source of care (and if so, distance from usual source of care, difficulty contacting usual source of care, and provision of extended hours), visiting a medical provider in the past 12 months, having to forego or delay care, and having trouble paying for medical bills. Preventive services included blood pressure and cholesterol check, flu vaccination, and cancer screening.

KEY RESULTS

Adults aged 18-64 years with LEP were significantly more likely to lack a usual source of care (adjusted odds ratios [aOR] = 2.48; 95% confidence interval [CI] = 2.27-2.70), not have visited a medical provider (aOR = 2.02; CI = 1.89-2.16), and to be overdue for receipt of preventive services, including blood pressure check (aOR = 2.00; CI = 1.79-2.23), cholesterol check (aOR = 1.22; CI = 1.03-1.44), and colorectal cancer screening (aOR = 1.58; CI = 1.37-1.83) than adults without LEP. Results were similar among adults aged ≥ 65 years.

CONCLUSIONS

Adults with LEP had consistently worse access to care than adults without LEP. System-level interventions, such as expanding access to health insurance coverage, providing language services, improving provider training in cultural competence, and increasing diversity in the medical workforce may minimize barriers and improve equity in access to care.

Health insurance status and cancer stage at diagnosis and survival in the United States

Previous studies using data from the early 2000s demonstrated that patients who were uninsured were more likely to present with late-stage disease and had worse short-term survival after cancer diagnosis in the United States. In this report, the authors provide comprehensive data on the associations of health insurance coverage type with stage at diagnosis and long-term survival in individuals aged 18-64 years who were diagnosed between 2010 and 2013 with 19 common cancers from the National Cancer Database, with survival follow-up through December 31, 2019. Compared with privately insured patients, Medicaid-insured and uninsured patients were significantly more likely to be diagnosed with late-stage (III/IV) cancer for all stageable cancers combined and separately. For all stageable cancers combined and for six cancer sites-prostate, colorectal, non-Hodgkin lymphoma, oral cavity, liver, and esophagus-uninsured patients with Stage I disease had worse survival than privately insured patients with Stage II disease. Patients without private insurance coverage had worse short-term and long-term survival at each stage for all cancers combined; patients who were uninsured had worse stage-specific survival for 12 of 17 stageable cancers and had worse survival for leukemia and brain tumors. Expanding access to comprehensive health insurance coverage is crucial for improving access to cancer care and outcomes, including stage at diagnosis and survival.

Paid Sick Leave Among Working Cancer Survivors and Its Associations With Use of Preventive Services in the United States

BACKGROUND

We sought to examine the lack of paid sick leave among working cancer survivors by sociodemographic/socioeconomic and employment characteristics and its association with preventive services use in the United States.

METHODS

Working cancer survivors (ages 18-64 years; n=7,995; weighted n=3.43 million) were identified using 2001-2018 National Health Interview Survey data. Adjusted prevalence of lack of paid sick leave by sociodemographic and socioeconomic characteristics, as well as job sector, working hours, and employer size, were generated using multivariable logistic regression models. Separate analyses examined the associations of lack of paid sick leave with use of various preventive services.

RESULTS

Of all working cancer survivors, 36.4% lacked paid sick leave (n=2,925; weighted n=1.25 million), especially those working in food/agriculture/construction/personal services occupations or industries (ranging from 54.9% to 88.5%). In adjusted analyses, working cancer survivors with lower household income (<200% of the federal poverty level, 48.7%), without a high school degree (43.3%), without health insurance coverage (70.6%), and who were self-employed (89.5%), were part-time workers (68.2%), or worked in small businesses (<50 employees, 48.8%) were most likely to lack paid sick leave. Lack of paid sick leave was associated with lower use of influenza vaccine (ages 18-39 years, 21.3% vs 33.3%; ages 40-49 years, 25.8% vs 38.3%; ages 50-64 years, 46.3% vs 52.4%; P<.001 for all), cholesterol screening (ages 18-39 years, 43.1% vs 62.5%; P<.05), and blood pressure check (ages 18-39 years, 43.1% vs 62.5%; P<.05) compared with survivors having paid sick leave.

CONCLUSIONS

In the United States, more than one-third of all working cancer survivors and more than half of survivors working for small employers and in certain occupations/industries lack paid sick leave. Survivors with lower household income or educational attainment are particularly vulnerable. Moreover, lack of paid sick leave is associated with lower use of some recommended preventive services, suggesting that ensuring working cancer survivors have access to paid sick leave may be an important mechanism for reducing health disparities.

The first year of the COVID-19 pandemic and health among cancer survivors in the United States

Background

Cancer survivors represent a population with high health care needs. If and how cancer survivors were affected by the first year of the coronavirus disease 2019 (COVID‐19) pandemic are largely unknown.

Methods

Using data from the nationwide, population‐based Behavioral Risk Factor Surveillance System (2017–2020), the authors investigated changes in health‐related measures during the COVID‐19 pandemic among cancer survivors and compared them with changes among adults without a cancer history in the United States. Sociodemographic and health‐related measures such as insurance coverage, employment status, health behaviors, and health status were self‐reported. Adjusted prevalence ratios of health‐related measures in 2020 versus 2017–2019 were calculated with multivariable logistic regressions and stratified by age group (18–64 vs. ≥65 years).

Results

Among adults aged 18–64 years, the uninsured rate did not change significantly in 2020 despite increases in unemployment. The prevalence of unhealthy behaviors, such as insufficient sleep and smoking, decreased in 2020, and self‐rated health improved, regardless of cancer history. Notably, declines in smoking were larger among cancer survivors than nonelderly adults without a cancer history. Few changes were observed for adults aged ≥65 years.

Conclusions

Further research is needed to confirm the observed positive health behavior and health changes and to investigate the role of potential mechanisms, such as the national and regional policy responses to the pandemic regarding insurance coverage, unemployment benefits, and financial assistance. As polices related to the public health emergency expire, ongoing monitoring of longer term effects of the pandemic on cancer survivorship is warranted.

Among cancer survivors aged 18–64 years, the uninsured rate did not change significantly in 2020 despite increases in unemployment. The prevalence of unhealthy behaviors, such as insufficient sleep and smoking, decreased in 2020, and self‐rated health improved, regardless of cancer history.

Relative Harm Perceptions of E-Cigarettes Versus Cigarettes, U.S. Adults, 2018-2020

INTRODUCTION

It is unknown how U.S. adults' relative harm perceptions of E-cigarettes versus cigarettes and associated behaviors changed during the E-cigarette or vaping product use‒associated lung injury epidemic (late 2019) and COVID-19 pandemic (since early 2020).

METHODS

Data from cross-sectional nationally representative Health Information National Trends Survey collected in 2018 (n=3,360), 2019 (n=3,217), and 2020 (n=3,677) (analyzed in 2021) were used to estimate changes in relative harm perceptions of E-cigarettes versus cigarettes (less harmful, as harmful, more harmful, don't know as a measure of uncertainty). In addition, changes in exclusive cigarette smoking, exclusive E-cigarette use, and dual use were estimated for each relative harm perception level.

RESULTS

Perceptions of E-cigarettes as more harmful than cigarettes doubled year on year, increasing most between 2019 and 2020 (2018: 6.8%, 2019: 12.8%, 2020: 28.3%), whereas uncertainty in relative harm declined (2018: 38.2%, 2019: 34.2%, 2020: 24.7%). Less harmful relative perceptions declined (2018:17.6%, 2019:15.3%, 2020:11.4%), whereas as harmful perceptions remained steady (2018: 37.4%, 2019: 37.7%, 2020: 35.6%). Exclusive cigarette smoking increased between 2019 and 2020 among those who perceived E-cigarettes as relatively more harmful (2018: 18.5%; 2019: 8.4%; 2020: 16.3%), exclusive E-cigarette use increased linearly among those who perceived them as relatively less harmful (7.9%, 15.3%, 26.7%), and dual use increased linearly in those who perceived them relatively as harmful (0.1%, 1.4%, 2.9%).

CONCLUSIONS

Perceptions of E-cigarettes as more harmful than cigarettes increased sharply between 2019 and 2020. Increases in tobacco product use were potentially guided by product-specific relative harm perceptions because changes occurred primarily in individuals who perceived their preferred product as relatively less harmful, suggesting the need for accurate messaging of relative and absolute product risks.

Changes in Cancer Screening in the US During the COVID-19 Pandemic

IMPORTANCE

Health care was disrupted in the US during the first quarter of 2020 with the emergence of the COVID-19 pandemic. Early reports in selected samples suggested that cancer screening services decreased greatly, but population-based estimates of cancer screening prevalence during 2020 have not yet been reported.

OBJECTIVE

To examine changes in breast cancer (BC), cervical cancer (CC), and colorectal cancer (CRC) screening prevalence with contemporary national, population-based Behavioral Risk Factor Surveillance System (BRFSS) data.

DESIGN, SETTING, AND PARTICIPANTS

This survey study included respondents from the 2014, 2016, 2018, and 2020 BRFSS surveys who were eligible for BC (women aged 50-74 years), CC (women aged 25-64 years), and CRC (women and men aged 50-75 years) screening. Data analysis was performed from September 2021 to February 2022.

EXPOSURES

Calendar year.

MAIN OUTCOMES AND MEASURES

Self-reported receipt of a recent (defined as in the past year) BC, CC, and CRC screening test. Adjusted prevalence ratios (aPRs) comparing 2020 vs 2018 prevalence and 95% CIs were computed.

RESULTS

In total, 479 248 individuals were included in the analyses of BC screening, 301 453 individuals were included in CC screening, and 854 210 individuals were included in CRC screening, In 2020, among respondents aged 50 to 75 years, 14 815 (11.4%) were Black, 12 081 (12.6%) were Hispanic, 156 198 (67.3%) were White, and 79 234 (29.9%) graduated from college (all percentages are weighted). After 4 years (2014-2018) of nearly steady prevalence, past-year BC screening decreased by 6% between 2018 and 2020 (from 61.6% in 2018 to 57.8% in 2020; aPR, 0.94; 95% CI, 0.92-0.96), and CC screening decreased by 11% (from 58.3% in 2018 to 51.9% in 2020; aPR, 0.89; 95% CI, 0.87-0.91). The magnitude of these decreases was greater in people with lower educational attainment and Hispanic persons. CRC screening prevalence remained steady; past-year stool testing increased by 7% (aPR, 1.07; 95% CI, 1.02-1.12), offsetting a 16% decrease in colonoscopy (aPR, 0.84; 95% CI, 0.82-0.88) between 2018 and 2020.

CONCLUSIONS AND RELEVANCE

In this survey study, stool testing increased and counterbalanced a decrease in colonoscopy during 2020, and BC and CC screening modestly decreased. How these findings might be associated with outcomes is not yet known, but they will be important to monitor, especially in populations with lower socioeconomic status, who experienced greater screening decreases during the COVID-19 pandemic.

American Cancer Society's report on the status of cancer disparities in the United States, 2021

In this report, the authors provide comprehensive and up-to-date US data on disparities in cancer occurrence, major risk factors, and access to and utilization of preventive measures and screening by sociodemographic characteristics. They also review programs and resources that have reduced cancer disparities and provide policy recommendations to further mitigate these inequalities. The overall cancer death rate is 19% higher among Black males than among White males. Black females also have a 12% higher overall cancer death rate than their White counterparts despite having an 8% lower incidence rate. There are also substantial variations in death rates for specific cancer types and in stage at diagnosis, survival, exposure to risk factors, and receipt of preventive measures and screening by race/ethnicity, socioeconomic status, and geographic location. For example, kidney cancer death rates by sex among American Indian/Alaska Native people are ≥64% higher than the corresponding rates in each of the other racial/ethnic groups, and the 5-year relative survival for all cancers combined is 14% lower among residents of poorer counties than among residents of more affluent counties. Broad and equitable implementation of evidence-based interventions, such as increasing health insurance coverage through Medicaid expansion or other initiatives, could substantially reduce cancer disparities. However, progress will require not only equitable local, state, and federal policies but also broad interdisciplinary engagement to elevate and address fundamental social inequities and longstanding systemic racism.

Geographic access to lung cancer screening among eligible adults living in rural and urban environments in the United States

BACKGROUND

Although recommended lung cancer screening with low-dose computed tomography scanning (LDCT) reduces mortality among high-risk adults, annual screening rates remain low. This study complements a previous nationwide assessment of access to lung cancer screening within 40 miles by evaluating differences in accessibility across rural and urban settings for the population aged 50 to 80 years and a subset eligible population based on the 2021 US Preventive Services Task Force LDCT lung screening recommendations.

METHODS

Distances from population centers to screening facilities (American College of Radiology Lung Cancer Screening Registry) were calculated, and the number of individuals who had access within graduating distances, including 10, 20, 40, 50, and 100 miles, were estimated. Census tract results were aggregated to counties, and both geographies were classified with rural-urban schemas.

RESULTS

Approximately 5% of the eligible population did not have access to lung cancer screening facilities within 40 miles; however, different patterns of accessibility were observed at different distances, between regions, and across rural-urban environments. Across all distances and geographies, there was a larger percentage of the population in rural geographies with no access. Although the rural population represented approximately 8% of the eligible population, the larger percentage of the rural population with no access was noteworthy and translated into a larger number of individuals with no access at longer distance thresholds (≥40 miles).

CONCLUSIONS

Disparities in access should be examined as both percentages of the population and numbers of individuals with no access in order to tailor interventions to communities and increase access. Geospatial analysis at the census tract level is recommended to help to identify optimal focus areas and reach the most people.

LAY SUMMARY

As annual lung cancer screening rates remain low, this study examines access to lung cancer screening nationwide and across rural and urban settings. A geographic information system network analysis of census tract-level populations is used to estimate access at different distances, including 10, 20, 40, 50, and 100 miles, and the results are aggregated to counties. Approximately 5% of the eligible population does not have access to screening facilities within 40 miles; however, different patterns of accessibility are observed at different distances, between regions, and across rural-urban environments. Across all distances and geographies, there is a larger percentage of the population in rural geographies with no access.

Changes in breast cancer screening rates among 32 community health centers during the COVID-19 pandemic

Background

Breast cancer screening utilization steeply dropped at the start of the coronavirus disease 2019 (COVID‐19) pandemic. However, the effects on breast cancer screening in lower income populations are unknown. This study examined changes in breast cancer screening rates (BCSRs) during the pandemic among 32 community health centers (CHCs) that provided health care to lower income populations.

Methods

Secondary data from 32 CHCs participating in an American Cancer Society grant program to increase breast cancer screening services were used. BCSRs were defined as the percentage of women aged 50 to 74 years who had a medical visit in the past 12 months (142,207 in 2018, 142,003 in 2019, and 150,630 in 2020) and received a screening mammogram within the last 27 months. BCSRs in July 2020, July 2019, and June 2018 were compared with screening rate ratios (SRRs) and corresponding 95% confidence intervals (CIs).

Results

BCSRs significantly rose by 18% between 2018 and 2019 (from 45.8% to 53.9%; SRR, 1.18; 95% CI, 1.17‐1.18) and then declined by 8% between 2019 and 2020 (from 53.9% to 49.6%; SRR, 0.92; 95% CI, 0.92‐0.93). If the 2018‐2019 BCSR trends had continued through 2020, 63.3% of women would have been screened in 2020 in contrast to the 49.6% who were; this potentially translated into 47,517 fewer mammograms and 242 missed breast cancer diagnoses in this population.

Conclusions

In this study of 32 CHCs, BCSRs declined by 8% from July 2019 to 2020, and this reversed an 18% improvement between July 2018 and 2019. Declining BCSRs among CHCs during the COVID‐19 pandemic call for policies to support and resources to identify women in need of screening.

In this study of 32 community health centers, breast cancer screening rates declined by 8% from July 2019 to 2020. This reverses an 18% improvement between July 2018 and 2019.

Unemployment and cancer screening: Baseline estimates to inform health care delivery in the context of COVID-19 economic distress

Background

During the coronavirus disease 2019 pandemic, US unemployment rates rose to historic highs, and they remain nearly double those of prepandemic levels. Employers are the most common source of health insurance among nonelderly adults. Thus, job loss may lead to a loss of health insurance and reduce access to cancer screening. This study examined associations between unemployment, health insurance, and cancer screening to inform the pandemic's potential impacts on early cancer detection.

Methods

Up‐to‐date and past‐year breast, cervical, colorectal, and prostate cancer screening prevalences were computed for nonelderly respondents (aged <65 years) with 2000‐2018 National Health Interview Survey data. Multivariable logistic regression models with marginal probabilities were used to estimate unemployed‐versus‐employed unadjusted and adjusted prevalence ratios.

Results

Unemployed adults (2000‐2018) were 4 times more likely to lack insurance than employed adults (41.4% vs 10.0%; P < .001). Unemployed adults had a significantly lower up‐to‐date prevalence of screening for cervical cancer (78.5% vs 86.2%; P < .001), breast cancer (67.8% vs 77.5%; P < .001), colorectal cancer (41.9 vs 48.5%; P < .001), and prostate cancer (25.4% vs 36.4%; P < .001). These differences were eliminated after accounting for health insurance coverage.

Conclusions

Unemployment was adversely associated with up‐to‐date cancer screening, and this was fully explained by a lack of health insurance. Ensuring the continuation of health insurance coverage after job loss may mitigate the pandemic's economic distress and future economic downturns' impact on cancer screening.

Unemployment is adversely associated with up‐to‐date cancer screening, and this is fully explained by a lack of health insurance.

Cancer statistics for the US Hispanic/Latino population, 2021

The Hispanic/Latino population is the second largest racial/ethnic group in the continental United States and Hawaii, accounting for 18% (60.6 million) of the total population. An additional 3 million Hispanic Americans live in Puerto Rico. Every 3 years, the American Cancer Society reports on cancer occurrence, risk factors, and screening for Hispanic individuals in the United States using the most recent population-based data. An estimated 176,600 new cancer cases and 46,500 cancer deaths will occur among Hispanic individuals in the continental United States and Hawaii in 2021. Compared to non-Hispanic Whites (NHWs), Hispanic men and women had 25%-30% lower incidence (2014-2018) and mortality (2015-2019) rates for all cancers combined and lower rates for the most common cancers, although this gap is diminishing. For example, the colorectal cancer (CRC) incidence rate ratio for Hispanic compared with NHW individuals narrowed from 0.75 (95% CI, 0.73-0.78) in 1995 to 0.91 (95% CI, 0.89-0.93) in 2018, reflecting delayed declines in CRC rates among Hispanic individuals in part because of slower uptake of screening. In contrast, Hispanic individuals have higher rates of infection-related cancers, including approximately two-fold higher incidence of liver and stomach cancer. Cervical cancer incidence is 32% higher among Hispanic women in the continental US and Hawaii and 78% higher among women in Puerto Rico compared to NHW women, yet is largely preventable through screening. Less access to care may be similarly reflected in the low prevalence of localized-stage breast cancer among Hispanic women, 59% versus 67% among NHW women. Evidence-based strategies for decreasing the cancer burden among the Hispanic population include the use of culturally appropriate lay health advisors and patient navigators and targeted, community-based intervention programs to facilitate access to screening and promote healthy behaviors. In addition, the impact of the COVID-19 pandemic on cancer trends and disparities in the Hispanic population should be closely monitored.

Lung Cancer Screening Eligibility and Screening Patterns Among Black and White Adults in the United States

This cohort study compares the demographics of US adults who are currently being screened for lung cancer and assesses the potential association between proposed changes to the United States Preventive Services Task Force (USPSTF) screening recommendations and screening rates by race and age.

State Variation in Low-Dose Computed Tomography Scanning for Lung Cancer Screening in the United States

BACKGROUND

Annual lung cancer screening (LCS) with low-dose chest computed tomography in older current and former smokers (ie, eligible adults) has been recommended since 2013. Uptake has been slow and variable across the United States. We estimated the LCS rate and growth at the national and state level between 2016 and 2018.

METHODS

The American College of Radiology's Lung Cancer Screening Registry was used to capture screening events. Population-based surveys, the US Census, and cancer registry data were used to estimate the number of eligible adults and lung cancer mortality (ie, burden). Lung cancer screening rates (SRs) in eligible adults and screening rate ratios with 95% confidence intervals (CI) were used to measure changes by state and year.

RESULTS

Nationally, the SR was steady between 2016 (3.3%, 95% CI = 3.3% to 3.7%) and 2017 (3.4%, 95% CI = 3.4% to 3.9%), increasing to 5.0% (95% CI = 5.0% to 5.7%) in 2018 (2018 vs 2016 SR ratio = 1.52, 95% CI = 1.51 to 1.62). In 2018, several southern states with a high lung-cancer burden (eg, Mississippi, West Virginia, and Arkansas) had relatively low SRs (<4%) among eligible adults, whereas several northeastern states with lower lung cancer burden (eg, Massachusetts, Vermont, and New Hampshire) had the highest SRs (12.8%-15.2%). The exception was Kentucky, which had the nation's highest lung cancer mortality rate and one of the highest SRs (13.7%).

CONCLUSIONS

Fewer than 1 in 20 eligible adults received LCS nationally, and uptake varied widely across states. LCS rates were not aligned with lung cancer burden across states, except for Kentucky, which has supported comprehensive efforts to implement LCS.

Association between disparities in intergenerational economic mobility and cause-specific mortality among Black and White persons in the United States

BACKGROUND

Evidence about the association between structural racism and mortality in the United States is limited. We examined the association between ongoing structural racism, measured as inequalities in adulthood income between White and Black children with similar parental household income (economic mobility gap) in a recent birth cohort, and Black-White disparities in death rates (mortality gap) overall and for major causes.

METHODS

Sex-, race/ethnicity-, and county-specific data were used to examine sex-specific associations between economic mobility and mortality gaps for all causes combined, heart diseases, cerebrovascular diseases, chronic obstructive pulmonary disease (COPD), injury/violence, all malignant cancers, and 14 cancer types. Economic mobility data for 1978-1983 birth cohorts and death rates during 2011-2018 were obtained from the Opportunity Atlas and National Center for Health Statistics, respectively. Data from 471 counties were included in analyses of all-cause mortality at ages 30-39 years during 2011-2018 (corresponding to partially overlapping 1978-1983 birth cohorts); and from 1,572 and 1,248 counties in analyses of all-cause and cause-specific mortality in all ages combined, respectively.

RESULTS

In ages 30-39 years, a one percentile increase in the economic mobility gap was associated with a 6.8 % (95 % confidence interval 1.8 %-11.8 %) increase in the Black-White mortality gap among males and a 13.5 % (8.9 %-18.1 %) increase among females, based on data from 471 counties. In all ages combined, the corresponding percentages based on data from 1,572 counties were 10.2 % (7.2 %-13.2 %) among males and 14.8 % (11.4 %-18.2 %) among females, equivalent to an increase of 18.4 and 14.0 deaths per 100,000 in the mortality gap, respectively. Similarly, strong associations between economic mobility gap and mortality gap in all ages were found for major causes of death, notably for potentially preventable conditions, including COPD, injury/violence, and cancers of the lung, liver, and cervix.

CONCLUSIONS

Economic mobility gap conditional on parental income in a recent birth cohort as a marker of ongoing structural racism is strongly associated with Black-White disparities in all-cause mortality and mortality from several causes.