BACKGROUND: This report represents a collaborative effort by the major cancer surveillance organizations to present the definitive US statistics for cancer incidence and mortality. METHODS: Cancer incidence data were obtained from population-based cancer registries funded by the Centers for Disease Control and Prevention and the National Cancer Institute and compiled by the North American Association of Central Cancer Registries. Cancer death data were obtained from the National Center for Health Statistics' National Vital Statistics System. Statistics are reported by cancer type, sex, race and ethnicity, and age. The potential impact of the coronavirus disease 2019 (COVID-19) pandemic on incidence was assessed by using state-level changes compared with previous years, the stringency of COVID-19 policy restrictions, the magnitude of COVID-19 death rates, and changes in the use of mammography. RESULTS: Overall cancer incidence rates per 100,000 were 500 among males and 437 among females. Excluding 2020, cancer incidence rates remained stable (2013-2021) among males and increased 0.3% per year on average (2003-2021) among females. The overall cancer death rate per 100,000 was 173 among males and 126 among females. Cancer death rates decreased by 1.5% per year (2018-2022), slowing from a previous 2.1% decline. Cancer incidence in 2020 declined from prepandemic levels for all demographic groups examined. However, the magnitude of decline was not strongly associated with the study's proxies for health care capacity, health care access, or COVID-19 policies. CONCLUSIONS: Overall cancer mortality declined over 20 years, even during the COVID-19 pandemic. Disruptions in health care use early in the pandemic resulted in incidence declines in 2020, but 2021 incidence returned to prepandemic levels.

BACKGROUND: Native Hawaiian and Pacific Islander (NHPI) adults have historically been grouped with Asian adults in U.S. mortality surveillance. Starting in 2018, the 1997 race and ethnicity standards from the U.S. Office of Management and Budget were adopted by all states on death certificates, enabling national-level estimates of cardiovascular disease (CVD) mortality for NHPI adults independent of Asian adults. OBJECTIVE: To describe CVD mortality among NHPI adults. DESIGN: Race-stratified age-standardized mortality rates (ASMRs) and rate ratios were calculated using final mortality data from the National Vital Statistics System for 2018 to 2022. SETTING: Fifty states and the District of Columbia. PARTICIPANTS: Adults aged 35 years or older at the time of death. MEASUREMENTS: CVD deaths were identified from International Classification of Diseases, 10th Revision codes indicating CVD (I00 to I99) as the underlying cause of death. RESULTS: From 2018 to 2022, 10 870 CVD deaths (72.6% from heart disease; 19.0% from cerebrovascular disease) occurred among NHPI adults. The CVD ASMR for NHPI adults (369.6 deaths per 100 000 persons [95% CI, 362.4 to 376.7]) was 1.5 times higher than for Asian adults (243.9 deaths per 100 000 persons [CI, 242.6 to 245.2]). The CVD ASMR for NHPI adults was the third highest in the country, after Black adults (558.8 deaths per 100 000 persons [CI, 557.4 to 560.3]) and White adults (423.6 deaths per 100 000 persons [CI, 423.2 to 424.1]). LIMITATION: Potential misclassification of underlying cause of death or race group. CONCLUSION: NHPI adults have a high rate of CVD mortality, which was previously masked by aggregation of the NHPI population with the Asian population. The results of this study support the need for continued disaggregation of the NHPI population in public health research and surveillance to identify opportunities for intervention. PRIMARY FUNDING SOURCE: National Institute of General Medical Sciences, National Institutes of Health.

IMPORTANCE: Uncontrolled hypertension is a major contributor to cardiovascular disease (CVD) in the US. OBJECTIVE: To determine the prevalence of hypertension control cascade outcomes (hypertension awareness, treatment recommendations, and medication use) among individuals with uncontrolled hypertension to inform action across cascade levels. DESIGN, SETTING, AND PARTICIPANTS: This weighted cross-sectional study used January 2017 to March 2020 National Health and Nutrition Examination Survey (NHANES) data from noninstitutionalized adults aged 18 years or older in the US with uncontrolled hypertension. Data analysis occurred from January to February 2024. EXPOSURE: Calendar year of response to the NHANES survey. MAIN OUTCOMES AND MEASURES: Mean blood pressure (BP) was computed using up to 3 measurements. Uncontrolled hypertension was defined as systolic BP of 130 mm Hg or greater or diastolic BP of 80 mm Hg or greater, regardless of medication use. Outcomes included patient awareness of hypertension, treatment recommendations, and medication use. To estimate population totals by subgroup, the age-standardized proportion of each outcome was multiplied by the estimated number of adults with uncontrolled hypertension. RESULTS: The study included 3129 US adults with uncontrolled hypertension (1675 male [weighted percentage, 52.3%]; 775 aged 18 to 44 years [weighted percentage, 29.4%]; 1306 aged 45 to 64 years [weighted percentage, 41.4%]; 1048 aged 65 years or older [weighted percentage, 29.2%]), resulting in a population estimate of 100.4 million adults (weighted percentage, 83.7%) with uncontrolled hypertension. More than one-half of study participants (57.8 million adults [weighted percentage, 57.6%]) were unaware that they had hypertension, and of the 35.0 million who were aware and met criteria for antihypertensive medication, 24.8 million (weighted percentage, 70.8%) took the medication but had hypertension that remained uncontrolled. These negative outcomes in the hypertension control cascade occurred across demographic groups, with notably high prevalence among younger adults and individuals engaged in health care. Among an estimated 30.1 million adults aged 18 to 44 years with hypertension, 10.4 of 11.3 million females (weighted percentage, 91.8%) and 17.7 million of 18.8 million males (weighted percentage, 94.3%) had uncontrolled hypertension. Of the 10.4 million females, 7.2 million (weighted percentage, 68.8%) were unaware of their hypertension status, and of the 17.7 million males, 12.0 million (weighted percentage, 68.1%) were unaware. Additionally, 9.9 of 13.0 million adults with uncontrolled hypertension (weighted percentage, 75.7%) reported no health care visits in the past year and were unaware. Conversely, among 70.6 million adults with uncontrolled hypertension reporting 2 or more health care visits, approximately one-half (36.6 million [weighted percentage, 51.8%]) were unaware. CONCLUSIONS AND RELEVANCE: In this cross-sectional study, more than 50% of adults with uncontrolled hypertension in the US were unaware of their hypertension and were untreated, and 70.8% of those who were treated had hypertension that remained uncontrolled. These findings have serious implications for the nation's overall health given the association of hypertension with increased risk for CVD.

In 2021, the Centers for Disease Control and Prevention's (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) funded community health workers (CHWs) for COVID Response and Resilient Communities (CCR). CCR is a 3-year, $350 million initiative to implement CHW strategies aimed at reducing COVID-19 impacts, building resilience, and improving health equity by addressing health-related social needs. This paper describes the CCR initiative and experiences to date, underscoring CHWs' critical role in CDC's pandemic response. CCR funds 67 recipients to reach communities who are disproportionately affected by long-standing health disparities (hereafter, priority populations). CCR aims to decrease the impact of COVID-19 and increase community resilience to respond to COVID-19 and future public health emergencies. Recipients implement three strategies: train CHWs to support the COVID-19 response, increase the workforce of CHWs to manage the spread of the disease, and improve utilization of community and clinical resources to engage CHWs to help strengthen communities' resilience to mitigate the impact of COVID-19. We funded three additional organizations to provide technical assistance to CCR recipients and collaborate with us on a national evaluation of the program. CCR recipients hired about 950 CHWs and integrated these CHWs into over 1,000 organizations and care teams. At the end of the second program year, CHWs made over 250,000 referrals to social services and over 150,000 referrals to address specific health conditions. CCR demonstrates that CHWs can be quickly mobilized to participate in a public health emergency and reach those most affected by COVID-19.

Background: Cancer-associated venous thromboembolism (CA-VTE) represents a major cause of morbidity and mortality in patients with cancer. Despite poor outcomes, there is an ongoing knowledge gap in epidemiologic data related to this association. Objectives: To compare venous thromboembolism (VTE) characteristics, risk factors, and outcomes between patients with and without active cancer in a racially diverse population. Methods: Our surveillance project occurred at the 3 hospitals in Durham County, North Carolina, from April 2012 through March 2014. Electronic and manual methods were used to identify unique Durham County residents with VTE. Results: We identified 987 patients with VTE during the surveillance period. Of these, 189 patients had active cancer at the time of their VTE event. Patients with CA-VTE were older (median age: 69 years vs 60 years, P < .0001) and had a lower body mass index (median body mass index: 26.0 kg/m2 vs 28.4 kg/m2, P = .0001) than noncancer patients. The most common cancers in our cohort were gastrointestinal, breast, genitourinary, and lung. The proportion of VTE cases with pulmonary embolism (PE) was greater in the cancer cohort compared with that in the noncancer cohort (58.2% vs 44.0%, P = .0004). Overall survival was lower in the CA-VTE group than in patients without cancer (P < .0001). Black patients with CA-VTE had lower proportion of PE (52.3% vs 67.1%, P = .05) but had decreased survival (P < .0003) in comparison with White patients. Conclusion: Future studies may be needed to continue to evaluate local and national VTE data to improve VTE prevention strategies and CA-VTE outcomes. © 2024 The Authors

OBJECTIVE: Lipoprotein(a) [Lp(a)] is an atherogenic and prothrombotic lipoprotein associated with atherosclerotic cardiovascular disease (ASCVD). We assessed the association between regular aspirin use and ASCVD mortality among individuals with versus without elevated Lp(a) in a nationally representative US cohort. METHODS: Eligible participants were aged 40-70 years without clinical ASCVD, reported on aspirin use, and had Lp(a) measurements from the Third National Health and Nutrition Examination Survey (NHANES III, 1988-1994), the only cycle of this nationally representative US cohort to measure Lp(a). Regular aspirin use was defined as taking aspirin ≥30 times in the previous month. Using NHANES III linked mortality records and weighted Cox proportional hazards regression, the association between regular aspirin use and ASCVD mortality was observed in those with and without elevated Lp(a) (≥50 versus <50 mg/dL) over a median 26-year follow-up. RESULTS: Among 2,990 persons meeting inclusion criteria (∼73 million US adults), the mean age was 50 years, 86% were non-Hispanic White, 9% were non-Hispanic Black, 53% were female, and 7% reported regular aspirin use. The median Lp(a) was 14 mg/dL and the proportion with elevated Lp(a) was similar among those with versus without regular aspirin use (15.1% versus 21.9%, p = 0.16). Among individuals with elevated Lp(a), the incidence of ASCVD mortality per 1,000 person-years was lower for those with versus without regular aspirin use (1.2, 95% CI: 0.1-2.3 versus 3.9, 95% CI: 2.8-4.9). In multivariable modeling, regular aspirin use was associated with a 52% lower risk of ASCVD mortality among individuals with elevated Lp(a) (HR=0.48, 95% CI: 0.28-0.83), but not for those without elevated Lp(a) (HR=1.01, 95% CI: 0.81-1.25; p-interaction=0.001). CONCLUSION: Regular aspirin use was associated with significantly lower ASCVD mortality in adults without clinical ASCVD who had elevated Lp(a). These findings may have clinical and public health implications for aspirin utilization in primary prevention.

BACKGROUND: Standardization of procedures for data abstraction by cancer registries is fundamental for cancer surveillance, clinical and policy decision-making, hospital benchmarking, and research efforts. The objective of the current study was to evaluate adherence to the four components (completeness, comparability, timeliness, and validity) defined by Bray and Parkin that determine registries' ability to carry out these activities to the hospital-based National Cancer Database (NCDB). METHODS: Tbis study used data from U.S. Cancer Statistics, the official federal cancer statistics and joint effort between the Centers for Disease Control and Prevention (CDC) and the National Cancer Institute (NCI), which includes data from National Program of Cancer Registries (NPCR) and Surveillance, Epidemiology, and End Results (SEER) to evaluate NCDB completeness between 2016 and 2020. The study evaluated comparability of case identification and coding procedures. It used Commission on Cancer (CoC) standards from 2022 to assess timeliness and validity. RESULTS: Completeness was demonstrated with a total of 6,828,507 cases identified within the NCDB, representing 73.7% of all cancer cases nationwide. Comparability was followed using standardized and international guidelines on coding and classification procedures. For timeliness, hospital compliance with timely data submission was 92.7%. Validity criteria for re-abstracting, recording, and reliability procedures across hospitals demonstrated 94.2% compliance. Additionally, data validity was shown by a 99.1% compliance with histologic verification standards, a 93.6% assessment of pathologic synoptic reporting, and a 99.1% internal consistency of staff credentials. CONCLUSION: The NCDB is characterized by a high level of case completeness and comparability with uniform standards for data collection, and by hospitals with high compliance, timely data submission, and high rates of compliance with validity standards for registry and data quality evaluation.

INTRODUCTION: Approximately 40,000 U.S. women die from breast cancer each year. Mammography is recommended to screen for breast cancer and reduce breast cancer mortality. Adverse social determinants of heath (SDOH) and health-related social needs (HRSNs) (e.g., lack of transportation and social isolation) can be barriers to getting mammograms. METHODS: Data from the 2022 Behavioral Risk Factor Surveillance System were analyzed to estimate the prevalence of mammography use within the previous 2 years among women aged 40-74 years by jurisdiction, age group, and sociodemographic factors. The association between mammography use and measures of SDOH and HRSNs was assessed for jurisdictions that administered the Social Determinants and Health Equity module. RESULTS: Among women aged 50-74 years, state-level mammography use ranged from 64.0% to 85.5%. Having health insurance and a personal health care provider were associated with having had a mammogram within the previous 2 years. Among women aged 50-74 years, mammography prevalence was 83.2% for those with no adverse SDOH and HRSNs and 65.7% for those with three or more adverse SDOH and HRSNs. Life dissatisfaction, feeling socially isolated, experiencing lost or reduced hours of employment, receiving food stamps, lacking reliable transportation, and reporting cost as a barrier for access to care were all strongly associated with not having had a mammogram within the previous 2 years. CONCLUSIONS AND IMPLICATIONS FOR PUBLIC HEALTH PRACTICE: Identifying specific adverse SDOH and HRSNs that women experience and coordinating activities among health care providers, social services, community organizations, and public health programs to provide services that help address these needs might increase mammography use and ultimately decrease breast cancer deaths.

Abuse of older adults is a public health problem. The National Intimate Partner and Sexual Violence Survey (NISVS) is a nationally-representative, telephone survey for non-institutionalized adults in the United States. To determine the prevalence and factors of intimate partner psychological aggression and physical violence and sexual violence by any perpetrator against older adults, we analyzed NISVS 2016/2017 data (n = 10,171, aged ≥ 60 years). Past 12-month prevalence of psychological aggression, physical violence, and sexual violence was 2.1%, 0.8%, and 1.7%, respectively. Odds of psychological aggression were significantly higher among those with hearing or vision impairment, and lower among those aged ≥70 years. Odds of physical violence were significantly higher for males and for those with hearing or vision impairment. Odds of sexual violence were significantly higher for unpartnered individuals and those with cognitive impairment; and lower for those aged ≥ 70 years. Epidemiologic studies of violence against older adults can inform population-specific prevention strategies.

INTRODUCTION: We examined national estimates of breast, cervical, and colorectal cancer (CRC) screening test use and compared them with Healthy People 2030 national targets. Test use in 2021 was compared with prepandemic estimates. METHODS: In 2022, we used 2021 National Health Interview Survey (NHIS) data to estimate proportions of adults up to date with US Preventive Services Task Force recommendations for breast (women aged 50-74 y), cervical (women aged 21-65 y), and CRC screening (adults aged 50-75 y) across sociodemographic and health care access variables. We compared age-standardized estimates from the 2021 and 2019 NHIS. RESULTS: Percentages of adults up to date in 2021 were 75.7% (95% CI, 74.4%-76.9%), 75.2% (95% CI, 73.9%-76.4%), and 72.2% (95% CI, 71.2%-73.2%) for breast, cervical, and CRC screening, respectively. Estimates were below 50% among those without a wellness check in 3 years (all screening types), among those without a usual source of care or insurance (aged <65 y) (breast and CRC screening), and among those residing in the US for less than 10 years (CRC screening). Percentages of adults who were up to date with breast and cervical cancer screening and colonoscopy were similar in 2019 and 2021. Fecal occult blood/fecal immunochemical test (FOBT/FIT) use was modestly higher in 2021 (P < .001). CONCLUSIONS: In 2021, approximately 1 in 4 adults of screening age were not up to date with breast, cervical, and CRC screening recommendations, and Healthy People 2030 national targets were not met. Disparities existed across several characteristics, particularly those related to health care access. Breast, cervical, and colonoscopy test use within recommended screening intervals approximated prepandemic levels. FOBT/FIT estimates were modestly higher in 2021.

Listeria monocytogenes can cause severe foodborne illness, including miscarriage during pregnancy or death in newborn infants. When outbreaks of L. monocytogenes illness occur, it may be possible to determine the food source of the outbreak. However, most reported L. monocytogenes illnesses do not occur as part of a recognized outbreak and most of the time the food source of sporadic L. monocytogenes illness in people cannot be determined. In the United States, L. monocytogenes isolates from patients, foods, and environments are routinely sequenced and analyzed by whole genome multilocus sequence typing (wgMLST) for outbreak detection by PulseNet, the national molecular surveillance system for foodborne illnesses. We investigated whether machine learning approaches applied to wgMLST allele call data could assist in attribution analysis of food source of L. monocytogenes isolates. We compiled isolates with a known source from five food categories (dairy, fruit, meat, seafood, and vegetable) using the metadata of L. monocytogenes isolates in PulseNet, deduplicated closely genetically related isolates, and developed random forest models to predict the food sources of isolates. Prediction accuracy of the final model varied across the food categories; it was highest for meat (65%), followed by fruit (45%), vegetable (45%), dairy (44%), and seafood (37%); overall accuracy was 49%, compared with the naive prediction accuracy of 28%. Our results show that random forest can be used to capture genetically complex features of high-resolution wgMLST for attribution of isolates to their sources.

As part of its data modernization initiative (DMI), the Centers for Disease Control and Prevention, Division of Cancer Prevention and Control is testing and implementing innovative solutions to improve cancer surveillance data quality and timeliness. We describe a consensus-based effort to create a framework to guide the evaluation of cancer surveillance modernization efforts by addressing specific context, processes, and costs related to cancer registration. We drew on prior theories, consulted with experts, and sought feedback from cancer registry staff. We developed the cancer surveillance systems, context, outcomes, and process evaluation (CS-SCOPE) framework to explain the ways in which cancer registry data quality, timeliness, and efficiency are impacted by external and internal contextual factors and interrelated process and content factors. The framework includes implementation measures to understand acceptability of process changes along with outcome measures to assess DMI initiation and ongoing sustainability. The framework's components and structures can be tailored for use in other DMI evaluations.

Shiga toxin-producing Escherichia coli (STEC) causes acute diarrheal illness. To determine risk factors for non-O157 STEC infection, we enrolled 939 patients and 2,464 healthy controls in a case-control study conducted in 10 US sites. The highest population-attributable fractions for domestically acquired infections were for eating lettuce (39%), tomatoes (21%), or at a fast-food restaurant (23%). Exposures with 10%-19% population attributable fractions included eating at a table service restaurant, eating watermelon, eating chicken, pork, beef, or iceberg lettuce prepared in a restaurant, eating exotic fruit, taking acid-reducing medication, and living or working on or visiting a farm. Significant exposures with high individual-level risk (odds ratio >10) among those >1 year of age who did not travel internationally were all from farm animal environments. To markedly decrease the number of STEC-related illnesses, prevention measures should focus on decreasing contamination of produce and improving the safety of foods prepared in restaurants.

BACKGROUND: Cancer survival has improved for the most common cancers. However, less improvement and lower survival has been observed in some groups perhaps due to differential access to cancer care including prevention, screening, diagnosis, and treatment. METHODS: To further understand contemporary relative cancer survival (one- and five- year), we used survival data from CDC's National Program of Cancer Registries (NPCR) for cancers diagnosed during 2007-2016. We examined overall relative cancer survival by sex, race and ethnicity, age, and county-level metropolitan and non-metropolitan status. Relative cancer survival by metropolitan and non-metropolitan status was further examined by sex, race and ethnicity, age, and cancer type. RESULTS: Among persons with cancer diagnosed during 2007-2016 the overall one-year and five-year relative survival was 80.6% and 67.4%, respectively. One-year relative survival for persons living in metropolitan counties was 81.1% and 77.8% among persons living in non-metropolitan counties. We found that persons who lived in non-metropolitan counties had lower survival than those who lived in metropolitan counties, and this difference persisted across sex, race and ethnicity, age, and most cancer types. CONCLUSION: Further examination of the differences in cancer survival by cancer type or other characteristics might be helpful for identifying potential interventions, such as programs that target screening and early detection or strategies to improve access to high quality cancer treatment and follow-up care, that could improve long-term outcomes. IMPACT: This analysis provided a high-level overview of contemporary cancer survival in the United States.

The Cancer Prevention and Control Research Network (CPCRN) was established in 2002 to conduct applied research and undertake related activities to translate evidence into practice, with a special focus on the unmet needs of populations at higher risk of getting cancer and dying from it. A network of academic, public health and community partners, CPCRN is a thematic research network of the Prevention Research Centers Program at the Centers for Disease Control and Prevention (CDC). The National Cancer Institute's Division of Cancer Control and Population Sciences (DCCPS) has been a consistent collaborator. The CPCRN has fostered research on geographically dispersed populations through cross-institution partnerships across the network. Since its inception, the CPCRN has applied rigorous scientific methods to fill knowledge gaps in the application and implementation of evidence-based interventions, and it has developed a generation of leading investigators in the dissemination and implementation of effective public health practices. This article reflects on how CPCRN addressed national priorities, contributed to CDC's programs, emphasized health equity and impacted science over the past twenty years and potential future directions.

BACKGROUND: Cancer incidence and death rates in the United States are often published at the county or statelevels; examining cancer statistics at the congressional district (CD) level allows decision makers to better understand how cancer is impacting the specific populations they represent. METHODS: Cancer incidence data were obtained from the Centers for Disease Control and Prevention's National Program of Cancer Registries and the National Cancer Institute's Surveillance, Epidemiology, and End Results Program. Mortality data were obtained from the National Center for Health Statistics. CD rates were estimated by assigning the county-level age-adjusted rates to the census block and weighting those by the block population proportion of the CD. Those weighted rates were then aggregated over the blocks within the CD to estimate the district rate. Incidence rate estimates for 406 CDs and death rate estimates for 436 CDs were reported according to the boundaries for the 115th Congress of the United States. Maps showing rate estimates for all cancers combined, lung/bronchus, colorectal, female breast, cervical, and prostate cancer are presented by sex and race/ethnicity. RESULTS: The distribution of cancer incidence and death rates by CDs show similar patterns to those that have been observed at the county and state levels, with the highest cancer incidence and death rates observed in CDs in the South and Eastern regions. CONCLUSION: This examination of cancer rates at the CD-level provides data that can be used to inform cancer control strategies at the local and national levels. Displaying the data with the Data Visualizations tool makes it easily accessible to the public and decision makers.

Trends in the negative health consequences of overweight and obesity are on the rise, coinciding with trends in rates of obesity. It is therefore not surprising that obesity accounts for a significant portion of health care costs in the United States.1 As Dr Chen and his colleagues point out, our Viewpoint emphasized the opportunities for comprehensive approaches to preventing obesity-related cancers within health care settings. To achieve significant effect on obesity and obesity-related cancers, all tools of the medical and public health community must be brought to bear on the problem. Chen and colleagues propose bariatric surgery as a treatment for severe obesity and a strategy for cancer prevention for eligible patients. As they note, achieving sustainable weight loss among patients with overweight and obesity presents significant challenges. For these reasons, efforts to prevent further weight gain among those who are not yet obese—and would not be eligible for surgery or other invasive medical approaches to treating overweight—are critical. For patients with obesity who have not been successful in losing weight, health care professionals can consider a variety of strategies that meet patients’ needs, including surgical approaches. Data such as those cited by the authors provide empirical links between interventions for overweight or obesity and associations with cancer outcomes. Such findings can inform understanding of the links among weight, weight gain and loss, and cancer.

Background. The complexity of decision science models may prevent their use to assist in decision making. User-centered design (UCD) principles provide an opportunity to engage end users in model development and refinement, potentially reducing complexity and increasing model utilization in a practical setting. We report our experiences with UCD to develop a modeling tool for cancer control planners evaluating cancer survivorship interventions. Design. Using UCD principles (described in the article), we developed a dynamic cohort model of cancer survivorship for individuals with female breast, colorectal, lung, and prostate cancer over 10 y. Parameters were obtained from the National Program of Cancer Registries and peer-reviewed literature, with model outcomes captured in quality-adjusted life-years and net monetary benefit. Prototyping and iteration were conducted with structured focus groups involving state cancer control planners and staff from the Centers for Disease Control and Prevention and the American Public Health Association. Results. Initial feedback highlighted model complexity and unclear purpose as barriers to end user uptake. Revisions addressed complexity by simplifying model input requirements, providing clear examples of input types, and reducing complex language. Wording was added to the results page to explain the interpretation of results. After these updates, feedback demonstrated that end users more clearly understood how to use and apply the model for cancer survivorship resource allocation tasks. Conclusions. A UCD approach identified challenges faced by end users in integrating a decision aid into their workflow. This approach created collaboration between modelers and end users, tailoring revisions to meet the needs of the users. Future models developed for individuals without a decision science background could leverage UCD to ensure the model meets the needs of the intended audience. HIGHLIGHTS: Model complexity and unclear purpose are 2 barriers that prevent lay users from integrating decision science tools into their workflow.Modelers could integrate the user-centered design framework when developing a model for lay users to reduce complexity and ensure the model meets the needs of the users.

Cancer survivors (persons who have received a diagnosis of cancer, from the time of diagnosis throughout their lifespan)* have increased risk for severe COVID-19 illness and mortality (1). This report describes characteristics of deaths reported to CDC's National Vital Statistics System (NVSS), for which cancer was listed as the underlying or a contributing cause (cancer deaths) during January 1, 2018-July 2, 2022. The underlying causes of death, including cancer and COVID-19, were examined by week, age, sex, race and ethnicity, and cancer type. Among an average of approximately 13,000 weekly cancer deaths, the percentage with cancer as the underlying cause was 90% in 2018 and 2019, 88% in 2020, and 87% in 2021. The percentage of cancer deaths with COVID-19 as the underlying cause differed by time (2.0% overall in 2020 and 2.4% in 2021, ranging from 0.2% to 7.2% by week), with higher percentages during peaks in the COVID-19 pandemic. The percentage of cancer deaths with COVID-19 as the underlying cause also differed by the characteristics examined, with higher percentages observed in 2021 among persons aged 65 years (2.4% among persons aged 65-74 years, 2.6% among persons aged 75-84 years, and 2.4% among persons aged 85 years); males (2.6%); persons categorized as non-Hispanic American Indian or Alaska Native (AI/AN) (3.4%), Hispanic or Latino (Hispanic) (3.2%), or non-Hispanic Black or African American (Black) (2.5%); and persons with hematologic cancers, including leukemia (7.4%), lymphoma (7.3%), and myeloma (5.8%). This report found differences by age, sex, race and ethnicity, and cancer type in the percentage of cancer deaths with COVID-19 as the underlying cause. These results might guide multicomponent COVID-19 prevention interventions and ongoing, cross-cutting efforts to reduce health disparities and address structural and social determinants of health among cancer survivors, which might help protect those at disproportionate and increased risk for death from COVID-19.

The coronavirus disease 2019 (COVID-19) pandemic has underscored the need to prevent chronic disease and promote health.1 , 2 More than a million American lives have been lost to COVID-19, and life expectancy decreased between 2018 and 2020.3 , 4 Chronic diseases are major risk factors for COVID-19 morbidity and mortality.5 In addition, COVID-19 morbidity and mortality have been higher among persons from racial and ethnic groups such as those who are African American, Hispanic or Latino, and American Indian or Alaska Native as well as those living at lower SES.6 This has magnified pre-existing health inequities in chronic disease.1 , 2 , 7

BACKGROUND: Breast cancer remains a leading cause of morbidity and mortality among women in the United States. Previous analyses show that breast cancer incidence increased from 1999 to 2018. The purpose of this article is to examine trends in breast cancer mortality. METHODS: Analysis of 1999 to 2020 mortality data from the Centers for Disease Control and Prevention, National Center for Health Statistics, among women by race/ethnicity, age, and US Census region. RESULTS: It was found that overall breast cancer mortality is decreasing but varies by race/ethnicity, age group, and US Census region. The largest decrease in mortality was observed among non-Hispanic White women, women aged 45 to 64 years of age, and women living in the Northeast; whereas the smallest decrease in mortality was observed among non-Hispanic Asian or Pacific Islander women, women aged 65 years or older, and women living in the South. CONCLUSION: This report provides national estimates of breast cancer mortality from 1999 to 2020 by race/ethnicity, age group, and US Census region. The decline in breast cancer mortality varies by demographic group. Disparities in breast cancer mortality have remained consistent over the past two decades. Using high-quality cancer surveillance data to estimate trends in breast cancer mortality may help health care professionals and public health prevention programs tailor screening and diagnostic interventions to address these disparities.

BACKGROUND: The Centers for Disease Control and Prevention launched the Colorectal Cancer Control Program to increase colorectal cancer screening among groups with low screening uptake. This engagement has enabled the health systems participating in the program to enhance infrastructure, systems, and process to implement interventions for colorectal cancer screening. These improvements have enabled other health promotion innovations such as the delivery of integrated interventions and supporting activities (referred to as integrated approaches) for multiple cancers. Using implementation science frameworks, the program evaluation team has examined these integrated approaches to capture the experiences of the awardees, health systems, and clinics. METHODS AND RESULTS: The findings from this comprehensive evaluation are presented in a series of 3 manuscripts. The first manuscript provides a conceptual framework for integrated approaches for cancer screening to support comprehensive evaluations and offers recommendations for future research. The second manuscript presents findings on key factors that support readiness for implementing integrated approaches based on qualitative interviews guided by implementation science constructs. The final manuscript reports on the challenges and benefits of integrated approaches to increase cancer screening in primary care facilities based on lessons learned from three real-world implementation case studies. CONCLUSION: Integrated models for implementing cancer screening could offer cost-effective approaches to reduce healthcare disparities. Additional implementation science-based systematic evaluations are needed to ensure integrated approaches are optimized, and cost-efficient models are scaled up.

INTRODUCTION: In 2020, the COVID-19 pandemic led to significant declines in cancer screening, including among women served by the National Breast and Cervical Cancer Early Detection Program (NBCCEDP). This study examined the spatial association between state-based COVID-19 test percent positivity and proportional change in NBCCEDP screening volume. METHODS: Using the COVID-19 Diagnostic Laboratory Testing dataset, we calculated state-based monthly COVID-19 test percent positivity from July through December 2020 and categorized rates into low, medium, and high groups. We used data from 48 NBCCEDP state awardees to calculate the state-based monthly proportional change in screening volume and compared data for July-December 2020 with the previous 5-year average for those months. We categorized changes in screening volume into large decrease, medium decrease, and minimal change and created maps of the associations between variable subgroups by using bivariate mapping in QGIS. RESULTS: Bivariate relationships between COVID-19 test percent positivity and proportional change in cancer screening volume varied over time and geography. In 5 of 6 months, 4 states had high COVID-19 test percent positivity and minimal change in breast or cervical cancer screening volume; 2 states had high COVID-19 test percent positivity and minimal change in breast and cervical cancer screening volume. CONCLUSION: Some states maintained pre-COVID-19 screening volumes despite high COVID-19 test percent positivity. Follow-up research will be conducted to determine how these states differ from those with consistent decreases in screening volume and identify factors that may have contributed to differences. This information could be useful for planning to maximize NBCCEDP awardees' ability to maintain screening volume during future public health emergencies.

BACKGROUND: Data on the population-based incidence of cancer-associated venous thromboembolism (VTE) from racially diverse populations are limited. OBJECTIVE: To evaluate the incidence and burden of cancer-associated VTE, including demographic and racial subgroups in the general population of Oklahoma County-which closely mirrors the United States. DESIGN: Population-based prospective study. SETTING: We conducted surveillance of VTE at tertiary care facilities and outpatient clinics in Oklahoma County, Oklahoma from 2012-2014. Surveillance included reviewing all imaging reports used to diagnose VTE and identifying VTE events from hospital discharge data and death certificates. Cancer status was determined by linkage to the Oklahoma Central Cancer Registry. MEASUREMENTS: We used Poisson regression to calculate crude and age-adjusted incidences of cancer-associated VTE per 100,000 general population per year, with 95% confidence intervals (95% CI). RESULTS: The age-adjusted incidence (95% CI) of cancer-associated VTE among adults age 18 was 70.0 (65.1-75.3). The age-adjusted incidence rates (95% CI) were 85.9 (72.7-101.6) for non-Hispanic Black persons, 79.5 (13.2-86.5) for non-Hispanic White persons, 18.8 (8.9-39.4) for Native American persons, 15.6 (7.0-34.8) for Asian/Pacific Islander persons, and 15.2 (9.2-25.1) for Hispanic persons. Recurrent VTE up to 2years after the initial diagnosis occurred in 38 of 304 patients (12.5%) with active cancer and in 34 of 424 patients (8.0%) with a history of cancer >6 months previously. CONCLUSION: Age-adjusted incidence rates of cancer-associated VTE vary substantially by race and ethnicity. The relatively high incidences of first VTE and of recurrence warrant further assessment of strategies to prevent VTE among cancer patients.

Healthy People 2020 and the National Colorectal Cancer Roundtable established colorectal cancer (CRC) screening targets of 70.5% and 80%, respectively. While evidence-based interventions (EBIs) have increased CRC screening, the ability to achieve these targets at the population level remains uncertain. We simulated the impact of multicomponent interventions in North Carolina over 5years to assess the potential for meeting national screening targets. Each intervention scenario is described as a core EBI with additional components indicated by the "+" symbol: patient navigation for screening colonoscopy (PN-for-Col+), mailed fecal immunochemical testing (MailedFIT+), MailedFIT+ targeted to Medicaid enrollees (MailedFIT+forMd), and provider assessment and feedback (PAF+). Each intervention was simulated with and without Medicaid expansion and at different levels of exposure (i.e., reach) for targeted populations. Outcomes included the percent up-to-date overall and by sociodemographic subgroups and number of CRC cases and deaths averted. Each multicomponent intervention was associated with increased CRC screening and averted both CRC cases and deaths; three had the potential to reach screening targets. PN-for-Col+achieved the 70.5% target with 97% reach after 1year, and the 80% target with 78% reach after 5years. MailedFIT+ achieved the 70.5% target with 74% reach after 1year and 5years. In the Medicaid population, assuming Medicaid expansion, MailedFIT+forMd reached the 70.5% target after 5years with 97% reach. This study clarifies the potential for states to reach national CRC screening targets using multicomponent EBIs, but decision-makers also should consider tradeoffs in cost, reach, and ability to reduce disparities when selecting interventions.

Cancer is the second leading cause of death in the US, exceeded only by heart disease. In 2018, 1,708,921 people were newly diagnosed and 599,265 people died of cancer (1). Although age-adjusted cancer incidence decreased 9.5% over the past 20 years, from 481.7 per 100,000 in 2009 to 435.8 per 100,000 in 2018, the number of people diagnosed with cancer increased, from 1,292,222 in 2009 to 1,708,921 in 2018 (1,2). The estimated national expenditure for cancer care in the US rose from $190.2 billion in 2015 to $208.9 billion in 2020, a 10% increase mainly due to the aging and growth of the US population (3,4). Costs will likely increase in future years as the population grows and ages and new and often more expensive treatments are adopted as standards of care.

In 2018, colorectal cancer (CRC) was the second most diagnosed cancer and the second leading cause of cancer death among cancers that affect both men and women (3). Screening for CRC can lead to fewer cases of cancer through the removal of polyps before they become cancer, the detection of cancers at their earliest stages, and the prevention of cancer deaths (4). | | Studies from the UK of screening by sigmoidoscopy and from the US of screening by colonoscopy showed that even 1-time or infrequent screening has long-term benefits (5,6). Another study showed that 83% of people who were not up to date with CRC screening had never been screened and outlined multiple barriers to getting tested (7). | | We measured the change in prevalence of adults who reported no CRC screening from 2012 to 2020. We also used data on the use of CRC screening tests in 2020 to update a previous report on up-to-date screening (8).

INTRODUCTION: The U.S. Preventive Services Task Force recommends breast, cervical, and colorectal cancer screening to reduce mortality from these cancers, but screening use has been below national targets. The purpose of this study is to examine the proportion of screening-eligible adults who are up to date with these screenings and how screening use compares with Healthy People 2020 targets. METHODS: Data from the 2019 National Health Interview Survey were used to examine the percentages of adults up to date with breast cancer screening among women aged 5074 years without previous breast cancer, cervical cancer screening among women aged 2165 years without previous cervical cancer or hysterectomy, and colorectal cancer screening among adults aged 5075 years without previous colorectal cancer. Estimates are presented by sociodemographic characteristics and healthcare access factors. Analyses were conducted in 2021. RESULTS: Percentages of adults up to date were 76.2% (95% CI= 75.0, 77.5) for breast cancer screening, 76.4% (95% CI= 75.2, 77.6) for cervical cancer screening, and 68.3% (95% CI= 67.3, 69.3) for colorectal cancer screening. Although some population subgroups met breast and colorectal cancer screening targets (81.1% and 70.5%, respectively), many did not, and cervical cancer screening was below the target for all examined subgroups. Lower education and income, nonmetropolitan county of residence (which included rural counties), no usual source of care or health insurance coverage, and Medicaid coverage were associated with lower screening test use. CONCLUSIONS: Estimated use of breast, cervical, and colorectal cancer screening tests based on the 2019 National Health Interview Survey were below national targets. Continued monitoring may allow for examination of screening trends, inform interventions, and track progress in eliminating disparities.

Cervical cancer is highly preventable when precancerous lesions are detected early and appropriately managed. However, the complexity of and frequent updates to existing evidence-based clinical guidelines make it challenging for clinicians to stay abreast of the latest recommendations. In addition, limited availability and accessibility to information technology (IT) decision supports make it difficult for groups who are medically underserved to receive screening or receive the appropriate follow-up care. The Centers for Disease Control and Prevention (CDC), Division of Cancer Prevention and Control (DCPC), is leading a multiyear initiative to develop computer-interpretable ("computable") version of already existing evidence-based guidelines to support clinician awareness and adoption of the most up-to-date cervical cancer screening and management guidelines. DCPC is collaborating with the MITRE Corporation, leading scientists from the National Cancer Institute, and other CDC subject matter experts to translate existing narrative guidelines into computable format and develop clinical decision support tools for integration into health IT systems such as electronic health records with the ultimate goal of improving patient outcomes and decreasing disparities in cervical cancer outcomes among populations that are medically underserved. This initiative meets the challenges and opportunities highlighted by the President's Cancer Panel and the President's Cancer Moonshot 2.0 to nearly eliminate cervical cancer.