Race and Ethnicity Reporting and Representation in Hemophilia Clinical Trials.

Racial and ethnic representativeness in clinical trials is crucial to mitigate outcomes disparities, 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 2007-2022. The distribution of participants (observed) was compared with expected proportions based on United States (US) hemophilia treatment center (HTC) and country-specific census data with observed-to-expected ratios (OER). 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-value=.001). Among these 66 trials, 65.8%, 22.8%, 5.1%, 3.9% of participants were White, Asian, Hispanic, and Black, respectively. OERs were 10-20% significantly lower for White participants vs US HTC, and US, United Kingdom (UK), and Canadian census populations and approximately 75% lower for Black or Hispanic participants when compared to 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.

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.

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.

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.

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 (ß = 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.

Outcomes From More Than 1 Million People Screened for Lung Cancer With Low-Dose CT Imaging.

BACKGROUND: Lung cancer screening (LCS) with low-dose CT (LDCT) imaging was recommended in 2013, making approximately 8 million Americans eligible for LCS. The demographic characteristics and outcomes of individuals screened in the United States have not been reported at the population level. RESEARCH QUESTION: What are the outcomes among people screened and entered in the American College of Radiology's Lung Cancer Screening Registry compared with those of trial participants? STUDY DESIGN AND METHODS: This was a cohort study of individuals undergoing baseline LDCT imaging for LCS between 2015 and 2019. Predictors of adherence to annual screening were computed. LDCT scan interpretations by Lung Imaging Reporting and Data System (Lung-RADS) score, cancer detection rates (CDRs), and stage at diagnosis were compared with National Lung Cancer Screening Trial data. RESULTS: Adherence was 22.3%, and predictors of poor adherence included current smoking status and Hispanic or Black race. On baseline screening, 83% of patients showed negative results and 17% showed positive screening results. The overall CDR was 0.56%. The percentage of people with cancer detected at baseline was higher in the positive Lung-RADS categories at 0.4% for Lung-RADS category 3, 2.6% for Lung-RADS category 4A, 11.1% for Lung-RADS category 4B, and 19.9% for Lung-RADS category 4X. The cancer stage distribution was similar to that observed in the National Lung Cancer Screening Trial, with 53.5% of patients receiving a diagnosis of stage I cancer and 14.3% with stage IV cancer. Underreporting into the registry may have occurred. INTERPRETATION: This study revealed both the positive aspects of CT scan screening for lung cancer and the challenges that remain. Findings on CT imaging were correlated accurately with lung cancer detection using the Lung-RADS system. A significant stage shift toward early-stage lung cancer was present. Adherence to LCS was poor and likely contributes to the lower than expected cancer detection rate, all of which will impact the outcomes of patients undergoing screening for lung cancer.

Incarceration History and Health Insurance and Coverage Changes in the U.S.

INTRODUCTION: This study examines the association of incarceration history and health insurance coverage and coverage changes in the U.S. METHODS: Individuals with and without incarceration history were identified from the National Longitudinal Survey of Youth 1997 with follow-up through 2017-2018 (n=7,417). Generalized estimating equations were used to examine the associations between incarceration history and health insurance and coverage changes in the past 12 months. This study also assessed variation in associations by incarceration duration, frequency, and recency and reoffence history. Analysis was conducted in 2022. RESULTS: Individuals with incarceration history were more likely to be uninsured (AOR=1.69; 95% CI=1.55, 1.85) and to experience year-long uninsurance (AOR=1.34; 95% CI=1.12, 1.59) and were less likely to have stable health insurance coverage (AOR=1.30; 95% CI=1.08, 1.56) than individuals without incarceration history. Longer duration and more frequent incarcerations were associated with a higher likelihood of lack of and unstable insurance coverage and year-long uninsurance. CONCLUSIONS: People with an incarceration history had worse access to health insurance coverage. Targeted programs to improve health insurance coverage may reduce disparities associated with incarceration.

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.

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.

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.

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.

Characteristics of Persons Screened for Lung Cancer in the United States : A Cohort Study.

BACKGROUND: Lung cancer screening (LCS) with low-dose computed tomography (LDCT) was recommended by the U.S. Preventive Services Task Force (USPSTF) in 2013, making approximately 8 million Americans eligible for screening. The demographic characteristics and adherence of persons screened in the United States have not been reported at the population level. OBJECTIVE: To define sociodemographic characteristics and adherence among persons screened and entered into the American College of Radiology's Lung Cancer Screening Registry (LCSR). DESIGN: Cohort study. SETTING: United States, 2015 to 2019. PARTICIPANTS: Persons receiving a baseline LDCT for LCS from 3625 facilities reporting to the LCSR. MEASUREMENTS: Age, sex, and smoking status distributions (percentages) were computed among persons who were screened and among respondents in the 2015 National Health Interview Survey (NHIS) who were eligible for screening. The prevalence between the LCSR and the NHIS was compared with prevalence ratios (PRs) and 95% CIs. Adherence to annual screening was defined as having a follow-up test within 11 to 15 months of an initial LDCT. RESULTS: Among 1 159 092 persons who were screened, 90.8% (n = 1 052 591) met the USPSTF eligibility criteria. Compared with adults from the NHIS who met the criteria (n = 1257), screening recipients in the LCSR were older (34.7% vs. 44.8% were aged 65 to 74 years; PR, 1.29 [95% CI, 1.20 to 1.39]), more likely to be female (41.8% vs. 48.1%; PR, 1.15 [CI, 1.08 to 1.23]), and more likely to currently smoke (52.3% vs. 61.4%; PR, 1.17 [CI, 1.11 to 1.23]). Only 22.3% had a repeated annual LDCT. If follow-up was extended to 24 months and more than 24 months, 34.3% and 40.3% were adherent, respectively. LIMITATIONS: Underreporting of LCS and missing data may skew demographic characteristics of persons reported to be screened. Underreporting of adherence may result in underestimates of follow-up. CONCLUSION: Approximately 91% of persons who had LCS met USPSTF eligibility criteria. In addition to continuing to target all eligible adults, men, those who formerly smoked, and younger eligible patients may be less likely to be screened. Adherence to annual follow-up screening was poor, potentially limiting screening effectiveness. PRIMARY FUNDING SOURCE: None.

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.

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.

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.

A first look at breast cancer screening in over 1000 community health centers in the United States.

Community Health Centers (CHCs) primarily serve low-income and vulnerable patients. Breast cancer screening recently became a quality-of-care metric in the annual Uniform Data System (UDS) report, and this study examines the first year of breast cancer screening data among 1375 CHCs in the United States. Clinics with available screening data (n = 1070) were categorized based on US region, state expansion of Medicaid to low-income adults under the Affordable Care Act, ranked terciles of race/ethnic composition (non-Hispanic Black, non-Hispanic Asian, and Hispanic/Latino patients), and proportion uninsured. Less than half of women eligible for breast cancer screening, 43.6% (95% CI:42.6%, 44.6%), were up-to-date. CHCs with medium or high proportions of Black (PR: 0.91, 0.86) and uninsured (PR: 0.90, 0.86) patients had between 9%-14% lower breast cancer screening rates than CHCs with low proportions of these populations. CHCs in Medicaid expansion states and in Northeastern states had significantly higher screening rates than non-expansion states and the Midwest, South, and Western states. In conclusion, our findings show that only half of women eligible who received care within CHCs were screened for breast cancer. Disparities in breast cancer screening rates are seen for clinics with high proportions of Black and uninsured patients, along with clinics outside the northeast and clinics in non-Medicaid expansion states. Targeted solutions centered around reducing cost, improving quality, and reducing structural disparities are needed to address low rates of breast cancer screening in low-income women who visited CHCs and already experience healthcare inequities.

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.

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.