Preventable Premature Deaths from the Five Leading Causes of Death in Nonmetropolitan and Metropolitan Counties, United States, 2010-2022.

Problem/Condition: A 2019 report quantified the higher percentage of potentially excess (preventable) deaths in U.S. nonmetropolitan areas compared with metropolitan areas during 2010-2017. In that report, CDC compared national, regional, and state estimates of preventable premature deaths from the five leading causes of death in nonmetropolitan and metropolitan counties during 2010-2017. This report provides estimates of preventable premature deaths for additional years (2010-2022). Period Covered: 2010-2022. Description of System: Mortality data for U.S. residents from the National Vital Statistics System were used to calculate preventable premature deaths from the five leading causes of death among persons aged <80 years. CDC's National Center for Health Statistics urban-rural classification scheme for counties was used to categorize the deaths according to the urban-rural county classification level of the decedent's county of residence (1: large central metropolitan [most urban], 2: large fringe metropolitan, 3: medium metropolitan, 4: small metropolitan, 5: micropolitan, and 6: noncore [most rural]). Preventable premature deaths were defined as deaths among persons aged <80 years that exceeded the number expected if the death rates for each cause in all states were equivalent to those in the benchmark states (i.e., the three states with the lowest rates). Preventable premature deaths were calculated separately for the six urban-rural county categories nationally, the 10 U.S. Department of Health and Human Services public health regions, and the 50 states and the District of Columbia. Results: During 2010-2022, the percentage of preventable premature deaths among persons aged <80 years in the United States increased for unintentional injury (e.g., unintentional poisoning including drug overdose, unintentional motor vehicle traffic crash, unintentional drowning, and unintentional fall) and stroke, decreased for cancer and chronic lower respiratory disease (CLRD), and remained stable for heart disease. The percentages of preventable premature deaths from the five leading causes of death were higher in rural counties in all years during 2010-2022. When assessed by the six urban-rural county classifications, percentages of preventable premature deaths in the most rural counties (noncore) were consistently higher than in the most urban counties (large central metropolitan and fringe metropolitan) for the five leading causes of death during the study period.During 2010-2022, preventable premature deaths from heart disease increased most in noncore (+9.5%) and micropolitan counties (+9.1%) and decreased most in large central metropolitan counties (-10.2%). Preventable premature deaths from cancer decreased in all county categories, with the largest decreases in large central metropolitan and large fringe metropolitan counties (-100.0%; benchmark achieved in both county categories in 2019). In all county categories, preventable premature deaths from unintentional injury increased, with the largest increases occurring in large central metropolitan (+147.5%) and large fringe metropolitan (+97.5%) counties. Preventable premature deaths from CLRD decreased most in large central metropolitan counties where the benchmark was achieved in 2019 and increased slightly in noncore counties (+0.8%). In all county categories, preventable premature deaths from stroke decreased from 2010 to 2013, remained constant from 2013 to 2019, and then increased in 2020 at the start of the COVID-19 pandemic. Percentages of preventable premature deaths varied across states by urban-rural county classification during 2010-2022. Interpretation: During 2010-2022, nonmetropolitan counties had higher percentages of preventable premature deaths from the five leading causes of death than did metropolitan counties nationwide, across public health regions, and in most states. The gap between the most rural and most urban counties for preventable premature deaths increased during 2010-2022 for four causes of death (cancer, heart disease, CLRD, and stroke) and decreased for unintentional injury. Urban and suburban counties (large central metropolitan, large fringe metropolitan, medium metropolitan, and small metropolitan) experienced increases in preventable premature deaths from unintentional injury during 2010-2022, leading to a narrower gap between the already high (approximately 69% in 2022) percentage of preventable premature deaths in noncore and micropolitan counties. Sharp increases in preventable premature deaths from unintentional injury, heart disease, and stroke were observed in 2020, whereas preventable premature deaths from CLRD and cancer continued to decline. CLRD deaths decreased during 2017-2020 but increased in 2022. An increase in the percentage of preventable premature deaths for multiple leading causes of death was observed in 2020 and was likely associated with COVID-19-related conditions that contributed to increased mortality from heart disease and stroke. Public Health Action: Routine tracking of preventable premature deaths based on urban-rural county classification might enable public health departments to identify and monitor geographic disparities in health outcomes. These disparities might be related to different levels of access to health care, social determinants of health, and other risk factors. Identifying areas with a high prevalence of potentially preventable mortality might be informative for interventions.

Translating an Economic Analysis into a Tool for Public Health Resource Allocation in Cancer Survivorship.

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.

Economic burden of skin cancer treatment in the USA: an analysis of the Medical Expenditure Panel Survey Data, 2012-2018.

PURPOSE: We report the prevalence and economic cost of skin cancer treatment compared to other cancers overall in the USA from 2012 to 2018. METHODS: Using the Medical Expenditure Panel Survey full-year consolidated data files and associated medical conditions and medical events files, we estimate the prevalence, total costs, and per-person costs of treatment for melanoma and non-melanoma skin cancer among adults aged ≥ 18 years in the USA. To understand the changes in treatment prevalence and treatment costs of skin cancer in the context of overall cancer treatment, we also estimate the prevalence, total costs, and per-person costs of treatment for non-skin cancer among US adults. RESULTS: During 2012-15 and 2016-18, the average annual number of adults treated for any skin cancer was 5.8 (95% CI: 5.2, 6.4) and 6.1 (95% CI: 5.6, 6.6) million, respectively, while the average annual number of adults treated for non-skin cancers rose from 10.8 (95% CI: 10.0, 11.5) to 11.9 (95% CI: 11.2, 12.6) million, respectively. The overall estimated annual costs rose from $8.0 (in 2012-2015) to $8.9 billion (in 2016-18) for skin cancer treatment and $70.2 to $79.4 billion respectively for non-skin cancer treatment. CONCLUSION: The prevalence and economic cost of skin cancer treatment modestly increased in recent years. Given the substantial cost of skin cancer treatment, continued public health attention to implementing evidence-based sun-safety interventions to reduce skin cancer risk may help prevent skin cancer and the associated treatment costs.

Learning From Cervical Cancer Survivors: An Examination of Barriers and Facilitators to Cervical Cancer Screening Among Women in the United States.

BACKGROUND: Screening and timely follow-up have lowered cervical cancer incidence in the US; however, screening coverage, incidence, and death rates have remained fairly stable in recent years. Studies suggest that half of women diagnosed with cervical cancer don't receive appropriate screening prior to diagnosis; cervical cancer survivors can provide crucial insight into barriers and facilitators to screening. METHODS: Participants were cervical cancer survivors ≥21 years, identified through population-based central cancer registries (CR) in 3 US states or a social network (SN), Cervivor. CR participants completed a mailed survey on screening history, barriers, and facilitators to screening and sociodemographic data. SN participants completed the same survey online. RESULTS: CR participants (N = 480) were older, with a lower proportion of non-Hispanic white, married, and insured women compared to SN participants (N = 148). Fifty percent of CR and 79% of SN participants were screened 5 years prior to their diagnoses. Of those screened, 28% in both groups reported not following-up on abnormal results. For both groups, the most frequently identified screening barrier was that participants never imagined they would develop cervical cancer (percent agree CR = 76%; SN = 86%), and the facilitator was wanting to take care of their bodies (CR = 95%; SN = 94%). CONCLUSION: Addressing key barriers to obtaining screening and timely follow-up related to lack of knowledge of cervical cancer risk and screening tests and addressing insurance coverage in the design or modification of interventions may increase cervical cancer screening and lower cervical cancer incidence in the US.

Utility of linking survey and registry data to evaluate interventions and policies to address disparities in breast cancer survivorship among young women.

PURPOSE: There is limited research linking data sources to evaluate the multifactorial impacts on the quality of treatment received and financial burden among young women with breast cancer. To address this gap and support future evaluation efforts, we examined the utility of combining patient survey and cancer registry data. PATIENT AND METHODS: We administered a survey to women, aged 18-39 years, with breast cancer from four U.S. states. We conducted a systematic response-rate analysis and evaluated differences between racial groups. Survey responses were linked with cancer registry data to assess whether surveys could reliably supplement registry data. RESULTS: A total of 830 women completed the survey for a response rate of 28.4 %. Blacks and Asian/Pacific Islanders were half as likely to respond as white women. Concordance between survey and registry data was high for demographic variables (Cohen's kappa [k]: 0.879 to 0.949), moderate to high for treatments received (k: 0.467 to 0.854), and low for hormone receptor status (k: 0.167 to 0.553). Survey items related to insurance status, employment, and symptoms revealed racial differences. CONCLUSION: Cancer registry data, supplemented by patient surveys, can provide a broader understanding of the quality of care and financial impacts of breast cancer among young women.

A population study of screening history and diagnostic outcomes of women with invasive cervical cancer.

BACKGROUND: Despite advances to prevent and detect cervical cancer, national targets for screening have not been met in the United States. Previous studies suggested that approximately half of women who developed cervical cancer were not adequately screened. This study aimed to provide an updated examination of women's screening and diagnostic practices five years prior to an invasive cervical cancer diagnosis. METHODS: The study included women age 21 years and older diagnosed with invasive cervical cancer in 2013-2016 from three population-based state cancer registries in the United States. Medical records abstraction identified screening history and diagnostic follow-up. A mailed survey provided sociodemographic data. Screening was a Pap or human papillomavirus (HPV) test between 6 months and 5 years before diagnosis. Adequate follow-up was defined per management guidelines. RESULTS: Of the 376 women, 60% (n = 228) had not been screened. Among women who received an abnormal screening result (n = 122), 67% (n = 82) had adequate follow-up. Predictors of: (a) being screened were younger age, having a higher income, and having insurance; (b) adequate follow-up were having a higher income, and (c) stage 1 cervical cancer were being screened and younger age. CONCLUSION: Unlike other cancer patterns of care studies, this study uses data obtained from medical records supplemented with self-report information to understand a woman's path to diagnosis, her follow-up care, and the stage of her cervical cancer diagnosis. This study provides findings that could be used to reach more unscreened or under screened women and to continue lowering cervical cancer incidence in the United States.

Assessing Impact of HPV Vaccination on Cervical Cancer Incidence among Women Aged 15-29 Years in the United States, 1999-2017: An Ecologic Study.

BACKGROUND: To date, the impact of the human papillomavirus (HPV) vaccine on invasive cervical cancers in the United States has not been documented due, in part, to the time needed for cancer to develop and to recent changes to cervical cancer screening guidelines and recommendations, which complicate data interpretation. METHODS: We examined incidence rates of cervical squamous cell carcinoma (SCC) and adenocarcinoma (AC) among women aged 15-29 years diagnosed during 1999-2017 using population-based cancer registry data covering 97.8% of the U.S. POPULATION: Trends were stratified by age and histology. The annual percent change in cervical cancer incidence per year was calculated using joinpoint regression. RESULTS: During 1999-2017, SCC rates decreased 12.7% per year among women aged 15-20 years, 5.5% among women aged 21-24 years, and 2.3% among women aged 25-29 years. The declines in SCC rates were largest among women aged 15-20 years during 2010-2017, with a decrease of 22.5% per year. Overall, AC rates decreased 4.1% per year among women aged 15-20 years, 3.6% per year among women aged 21-24 years, and 1.6% per year among women aged 25-29 years. AC rates declined the most among women aged 15-20 years during 2006-2017, decreasing 9.4% per year. CONCLUSIONS: Since HPV vaccine introduction, both SCC and AC incidence rates declined among women aged 15-20 years, a group not typically screened for cervical cancer, which may suggest HPV vaccine impact. IMPACT: Timely vaccination and improved screening and follow-up among recommended age groups could result in further reductions in invasive cervical cancer.

Cancers Associated with Human Papillomavirus in American Indian and Alaska Native Populations - United States, 2013-2017.

Human papillomavirus (HPV) causes most cervical cancers and some cancers of the penis, vulva, vagina, oropharynx, and anus. Cervical precancers can be detected through screening. HPV vaccination with the 9-valent HPV vaccine (9vHPV) can prevent approximately 92% of HPV-attributable cancers (1).* Previous studies have shown lower incidence of HPV-associated cancers in non-Hispanic American Indian and Alaska Native (AI/AN) populations compared with other racial subgroups (2); however, these rates might have been underestimated as a result of racial misclassification. Previous studies have shown that cancer registry data corrected for racial misclassification resulted in more accurate cancer incidence estimates for AI/AN populations (3,4). In addition, regional variations in cancer incidence among AI/AN populations suggest that nationally aggregated data might not adequately describe cancer outcomes within these populations (5). These variations might, in part, result from geographic disparities in the use of health services, such as cancer screening or vaccination (6). CDC analyzed data for 2013-2017 from central cancer registries linked with the Indian Health Service (IHS) patient registration database to assess the incidence of HPV-associated cancers and to estimate the number of cancers caused by HPV among AI/AN populations overall and by region. During 2013-2017, an estimated 1,030 HPV-associated cancers were reported in AI/AN populations. Of these cancers, 740 (72%) were determined to be attributable to HPV types targeted by 9vHPV; the majority were cervical cancers in females and oropharyngeal cancers in males. These data can help identify regions where AI/AN populations have disproportionately high rates of HPV-associated cancers and inform targeted regional vaccination and screening programs in AI/AN communities.

Treatment cost and access to care: experiences of young women diagnosed with breast cancer.

PURPOSE: Breast cancer is the leading cause of cancer-related deaths in women younger than 40 years. We aim to evaluate cost as a barrier to care among female breast cancer patients diagnosed between 18 to 39 years. METHODS: In early 2017, we distributed a survey to women diagnosed with breast cancer between the ages of 18 and 39 years, as identified by the central cancer registries of California, Georgia, North Carolina, and Florida. We used multivariable statistics to explore cost-related barriers to receiving breast cancer care for the 830 women that completed the survey. RESULTS: About half of the women (47.4%) reported spending more on breast cancer care than expected, and almost two-thirds (65.3%) had not discussed costs with their care team. A third of the patients (31.8%) indicated forgoing care due to cost. Factors associated with not receiving anticipated care due to cost included age less than35 years at diagnosis, self-insurance, comorbid conditions, and late-stage diagnosis. CONCLUSION: Previous studies using breast cancer registry data have not included detailed insurance information and care received by young women. Young women with breast cancer frequently forgo breast cancer care due to cost. Our results highlight the potential for policies that facilitate optimal care for young breast cancer patients which could include the provision of comprehensive insurance coverage.

Trends in Incidence of Cancers of the Oral Cavity and Pharynx - United States 2007-2016.

Cancers of the oral cavity and pharynx account for 3% of cancers diagnosed in the United States* each year. Cancers at these sites can differ anatomically and histologically and might have different causal factors, such as tobacco use, alcohol use, and infection with human papillomavirus (HPV) (1). Incidence of combined oral cavity and pharyngeal cancers declined during the 1980s but began to increase around 1999 (2,3). Because tobacco use has declined in the United States, accompanied by a decrease in incidence of many tobacco-related cancers, researchers have suggested that the increase in oral cavity and pharynx cancers might be attributed to anatomic sites with specific cell types in which HPV DNA is often found (4,5). U.S. Cancer Statistics† data were analyzed to examine trends in incidence of cancers of the oral cavity and pharynx by anatomic site, sex, race/ethnicity, and age group. During 2007-2016, incidence rates increased for cancers of the oral cavity and pharynx combined, base of tongue, anterior tongue, gum, tonsil, oropharynx, and other oral cavity and pharynx. Incidence rates declined for cancers of the lip, floor of mouth, soft palate and uvula, hard palate, hypopharynx, and nasopharynx, and were stable for cancers of the cheek and other mouth and salivary gland. Ongoing implementation of proven population-based strategies to prevent tobacco use initiation, promote smoking cessation, reduce excessive alcohol use, and increase HPV vaccination rates might help prevent cancers of the oral cavity and pharynx.

Annual report to the nation on the status of cancer, part II: Progress toward Healthy People 2020 objectives for 4 common cancers.

BACKGROUND: The Centers for Disease Control and Prevention, the American Cancer Society, the National Cancer Institute, and the North American Association of Central Cancer Registries collaborate to provide annual updates on cancer occurrence and trends in the United States and to address a special topic of interest. Part I of this report focuses on national cancer statistics, and part 2 characterizes progress in achieving select Healthy People 2020 cancer objectives. METHODS: For this report, the authors selected objectives-including death rates, cancer screening, and major risk factors-related to 4 common cancers (lung, colorectal, female breast, and prostate). Baseline values, recent values, and the percentage change from baseline to recent values were examined overall and by select sociodemographic characteristics. Data from national surveillance systems were obtained from the Healthy People 2020 website. RESULTS: Targets for death rates were met overall and in most sociodemographic groups, but not among males, blacks, or individuals in rural areas, although these groups did experience larger decreases in rates compared with other groups. During 2007 through 2017, cancer death rates decreased 15% overall, ranging from -4% (rural) to -22% (metropolitan). Targets for breast and colorectal cancer screening were not yet met overall or in any sociodemographic groups except those with the highest educational attainment, whereas lung cancer screening was generally low (<10%). Targets were not yet met overall for cigarette smoking, recent smoking cessation, excessive alcohol use, or obesity but were met for secondhand smoke exposure and physical activity. Some sociodemographic groups did not meet targets or had less improvement than others toward reaching objectives. CONCLUSIONS: Monitoring trends in cancer risk factors, screening test use, and mortality can help assess the progress made toward decreasing the cancer burden in the United States. Although many interventions to reduce cancer risk factors and promote healthy behaviors are proven to work, they may not be equitably applied or work well in every community. Implementing cancer prevention and control interventions that are sustainable, focused, and culturally appropriate may boost success in communities with the greatest need, ensuring that all Americans can access a path to long, healthy, cancer-free lives.

Annual report to the nation on the status of cancer, part I: National cancer statistics.

BACKGROUND: The American Cancer Society, the Centers for Disease Control and Prevention, the National Cancer Institute, and the North American Association of Central Cancer Registries collaborate to provide annual updates on cancer occurrence and trends in the United States. METHODS: Data on new cancer diagnoses during 2001 through 2016 were obtained from the Centers for Disease Control and Prevention-funded and National Cancer Institute-funded population-based cancer registry programs and compiled by the North American Association of Central Cancer Registries. Data on cancer deaths during 2001 through 2017 were obtained from the National Center for Health Statistics' National Vital Statistics System. Trends in incidence and death rates for all cancers combined and for the leading cancer types by sex, racial/ethnic group, and age were estimated by joinpoint analysis and characterized by the average annual percent change during the most recent 5 years (2012-2016 for incidence and 2013-2017 for mortality). RESULTS: Overall, cancer incidence rates decreased 0.6% on average per year during 2012 through 2016, but trends differed by sex, racial/ethnic group, and cancer type. Among males, cancer incidence rates were stable overall and among non-Hispanic white males but decreased in other racial/ethnic groups; rates increased for 5 of the 17 most common cancers, were stable for 7 cancers (including prostate), and decreased for 5 cancers (including lung and bronchus [lung] and colorectal). Among females, cancer incidence rates increased during 2012 to 2016 in all racial/ethnic groups, increasing on average 0.2% per year; rates increased for 8 of the 18 most common cancers (including breast), were stable for 6 cancers (including colorectal), and decreased for 4 cancers (including lung). Overall, cancer death rates decreased 1.5% on average per year during 2013 to 2017, decreasing 1.8% per year among males and 1.4% per year among females. During 2013 to 2017, cancer death rates decreased for all cancers combined among both males and females in each racial/ethnic group, for 11 of the 19 most common cancers among males (including lung and colorectal), and for 14 of the 20 most common cancers among females (including lung, colorectal, and breast). The largest declines in death rates were observed for melanoma of the skin (decreasing 6.1% per year among males and 6.3% among females) and lung (decreasing 4.8% per year among males and 3.7% among females). Among children younger than 15 years, cancer incidence rates increased an average of 0.8% per year during 2012 to 2016, and cancer death rates decreased an average of 1.4% per year during 2013 to 2017. Among adolescents and young adults aged 15 to 39 years, cancer incidence rates increased an average of 0.9% per year during 2012 to 2016, and cancer death rates decreased an average of 1.0% per year during 2013 to 2017. CONCLUSIONS: Although overall cancer death rates continue to decline, incidence rates are leveling off among males and are increasing slightly among females. These trends reflect population changes in cancer risk factors, screening test use, diagnostic practices, and treatment advances. Many cancers can be prevented or treated effectively if they are found early. Population-based cancer incidence and mortality data can be used to inform efforts to decrease the cancer burden in the United States and regularly monitor progress toward goals.

Vital Signs: Colorectal Cancer Screening Test Use - United States, 2018.

BACKGROUND: Colorectal cancer (CRC) is the second leading cause of cancer death in the United States of cancers that affect both men and women. Despite strong evidence that screening for CRC reduces incidence and mortality, CRC screening prevalence is below the national target. This report describes current CRC screening prevalence by age, various demographic factors, and state. METHODS: Data from the 2018 Behavioral Risk Factor Surveillance System survey were analyzed to estimate the percentages of adults aged 50-75 years who reported CRC screening consistent with the United States Preventive Services Task Force recommendation. RESULTS: In 2018, 68.8% of adults were up to date with CRC screening. The percentage up to date was 79.2% among respondents aged 65-75 years and 63.3% among those aged 50-64 years. CRC screening prevalence was lowest among persons aged 50-54 years (50.0%) and increased with age. Among respondents aged 50-64 years, CRC screening prevalence was lowest among persons without health insurance (32.6%) and highest among those with reported annual household income of ≥$75,000 (70.8%). Among respondents aged 65-75 years, CRC screening prevalence was lowest among those without a regular health care provider (45.6%), and highest among those with reported annual household income ≥$75,000 (87.1%). Among states, CRC screening prevalence was highest in Massachusetts (76.5%) and lowest in Wyoming (57.8%). DISCUSSION: CRC screening prevalence is lower among adults aged 50-64 years, although most reported having a health care provider and health insurance. Concerted efforts are needed to inform persons aged <50 years about the benefit of screening so that screening can start at age 50 years.

Insurance Coverage, Employment Status, and Financial Well-Being of Young Women Diagnosed with Breast Cancer.

BACKGROUND: The economic cost of breast cancer is a major personal and public health problem in the United States. This study aims to evaluate the insurance, employment, and financial experiences of young female breast cancer survivors and to assess factors associated with financial decline. METHODS: We recruited 830 women under 40 years of age diagnosed with breast cancer between January 2013 and December 2014. The study population was identified through California, Florida, Georgia, and North Carolina population-based cancer registries. The cross-sectional survey was fielded in 2017 and included questions on demographics, insurance, employment, out-of-pocket costs, and financial well-being. We present descriptive statistics and multivariate analysis to assess factors associated with financial decline. RESULTS: Although 92.5% of the respondents were continuously insured over the past 12 months, 9.5% paid a "higher price than expected" for coverage. Common concerns among the 73.4% of respondents who were employed at diagnosis included increased paid (55.1%) or unpaid (47.3%) time off, suffering job performance (23.2%), and staying at (30.2%) or avoiding changing (23.5%) jobs for health insurance purposes. Overall, 47.0% experienced financial decline due to treatment-related costs. Patients with some college education, multiple comorbidities, late stage diagnoses, and self-funded insurance were most vulnerable. CONCLUSIONS: The breast cancer diagnosis created financial hardship for half the respondents and led to myriad challenges in maintaining employment. Employment decisions were heavily influenced by the need to maintain health insurance coverage. IMPACT: This study finds that a breast cancer diagnosis in young women can result in employment disruption and financial decline.

Screening for Lung Cancer - 10 States, 2017.

Lung cancer is the leading cause of cancer death in the United States; 148,869 lung cancer-associated deaths occurred in 2016 (1). Mortality might be reduced by identifying lung cancer at an early stage when treatment can be more effective (2). In 2013, the U.S. Preventive Services Task Force (USPSTF) recommended annual screening for lung cancer with low-dose computed tomography (CT) for adults aged 55-80 years who have a 30 pack-year* smoking history and currently smoke or have quit within the past 15 years (2).† This was a Grade B recommendation, which required health insurance plans to cover lung cancer screening as a preventive service.§ To assess the prevalence of lung cancer screening by state, CDC used Behavioral Risk Factor Surveillance System (BRFSS) data¶ collected in 2017 by 10 states.** Overall, 12.7% adults aged 55-80 years met the USPSTF criteria for lung cancer screening. Among those meeting USPSTF criteria, 12.5% reported they had received a CT scan to check for lung cancer in the last 12 months. Efforts to educate health care providers and provide decision support tools might increase recommended lung cancer screening.

Potentially Excess Deaths from the Five Leading Causes of Death in Metropolitan and Nonmetropolitan Counties - United States, 2010-2017.

PROBLEM/CONDITION: A 2017 report quantified the higher percentage of potentially excess (or preventable) deaths in nonmetropolitan areas (often referred to as rural areas) compared with metropolitan areas. In that report, CDC compared national, regional, and state estimates of potentially excess deaths among the five leading causes of death in nonmetropolitan and metropolitan counties for 2010 and 2014. This report enhances the geographic detail by using the six levels of the 2013 National Center for Health Statistics (NCHS) urban-rural classification scheme for counties and extending estimates of potentially excess deaths by annual percent change (APC) and for additional years (2010-2017). Trends were tested both with linear and quadratic terms. PERIOD COVERED: 2010-2017. DESCRIPTION OF SYSTEM: Mortality data for U.S. residents from the National Vital Statistics System were used to calculate potentially excess deaths from the five leading causes of death among persons aged <80 years. CDC's NCHS urban-rural classification scheme for counties was used to categorize the deaths according to the urban-rural county classification level of the decedent's county of residence (1: large central metropolitan [most urban], 2: large fringe metropolitan, 3: medium metropolitan, 4: small metropolitan, 5: micropolitan, and 6: noncore [most rural]). Potentially excess deaths were defined as deaths among persons aged <80 years that exceeded the number expected if the death rates for each cause in all states were equivalent to those in the benchmark states (i.e., the three states with the lowest rates). Potentially excess deaths were calculated separately for the six urban-rural county categories nationally, the 10 U.S. Department of Health and Human Services public health regions, and the 50 states and District of Columbia. RESULTS: The number of potentially excess deaths among persons aged <80 years in the United States increased during 2010-2017 for unintentional injuries (APC: 11.2%), decreased for cancer (APC: -9.1%), and remained stable for heart disease (APC: 1.1%), chronic lower respiratory disease (CLRD) (APC: 1.7%), and stroke (APC: 0.3). Across the United States, percentages of potentially excess deaths from the five leading causes were higher in nonmetropolitan counties in all years during 2010-2017. When assessed by the six urban-rural county classifications, percentages of potentially excess deaths in the most rural counties (noncore) were consistently higher than in the most urban counties (large central metropolitan) for the study period. Potentially excess deaths from heart disease increased most in micropolitan counties (APC: 2.5%) and decreased most in large fringe metropolitan counties (APC: -1.1%). Potentially excess deaths from cancer decreased in all county categories, with the largest decreases in large central metropolitan (APC: -16.1%) and large fringe metropolitan (APC: -15.1%) counties. In all county categories, potentially excess deaths from the five leading causes increased, with the largest increases occurring in large central metropolitan (APC: 18.3%), large fringe metropolitan (APC: 17.1%), and medium metropolitan (APC: 11.1%) counties. Potentially excess deaths from CLRD decreased most in large central metropolitan counties (APC: -5.6%) and increased most in micropolitan (APC: 3.7%) and noncore (APC: 3.6%) counties. In all county categories, potentially excess deaths from stroke exhibited a quadratic trend (i.e., decreased then increased), except in micropolitan counties, where no change occurred. Percentages of potentially excess deaths also differed among and within public health regions and across states by urban-rural county classification during 2010-2017. INTERPRETATION: Nonmetropolitan counties had higher percentages of potentially excess deaths from the five leading causes than metropolitan counties during 2010-2017 nationwide, across public health regions, and in the majority of states. The gap between the most rural and most urban counties for potentially excess deaths increased during 2010-2017 for three causes of death (cancer, heart disease, and CLRD), decreased for unintentional injury, and remained relatively stable for stroke. Urban and suburban counties (large central metropolitan and large fringe metropolitan, medium metropolitan, and small metropolitan) experienced increases in potentially excess deaths from unintentional injury during 2010-2017, leading to a narrower gap between the already high (approximately 55%) percentage of excess deaths in noncore and micropolitan counties. PUBLIC HEALTH ACTION: Routine tracking of potentially excess deaths by urban-rural county classification might help public health departments and decision-makers identify and monitor public health problems and focus interventions to reduce potentially excess deaths in these areas.

Human Papillomavirus-Attributable Cancers - United States, 2012-2016.

Human papillomavirus (HPV) causes nearly all cervical cancers and some cancers of the vagina, vulva, penis, anus, and oropharynx (1).* Most HPV infections are asymptomatic and clear spontaneously within 1 to 2 years; however, persistent infection with oncogenic HPV types can lead to development of precancer or cancer (2). In the United States, the 9-valent HPV vaccine (9vHPV) is available to protect against oncogenic HPV types 16, 18, 31, 33, 45, 52, and 58 as well as nononcogenic types 6 and 11 that cause genital warts. CDC analyzed data from the U.S. Cancer Statistics (USCS)† to assess the incidence of HPV-associated cancers and to estimate the annual number of cancers caused by HPV, overall and by state, during 2012-2016 (3,4). An average of 43,999 HPV-associated cancers were reported annually, and an estimated 34,800 (79%) of those cancers were attributable to HPV. Of these 34,800 cancers, an estimated 32,100 (92%) were attributable to the types targeted by 9vHPV, with 19,000 occurring among females and 13,100 among males. The most common were cervical (9,700) and oropharyngeal cancers (12,600). The number of cancers estimated to be attributable to the types targeted by 9vHPV ranged by state from 40 to 3,270 per year. HPV vaccination is an important strategy that could prevent these cancers, but during 2018, only half of adolescents were up to date on HPV vaccination (5). These surveillance data from population-based cancer registries can be used to inform the planning for, and monitor the long-term impact of, HPV vaccination and cancer screening efforts nationally and within states.

Overview of Centers for Disease Control and Prevention's Case Investigation of Cervical Cancer Study.

Background: Despite advances in cervical cancer screening, a significant number of women in the United States have not received adequate screening. Studies have suggested that approximately half of the women who developed cervical cancer were not adequately screened. The Centers for Disease Control and Prevention (CDC) Case Investigation of Cervical Cancer (CICC) Study took a unique approach to reconstruct the time before a woman's cervical cancer diagnosis and understand the facilitators and barriers to screening and care. This article provides an overview of the study. Methods: This study included all cervical cancer survivors diagnosed with invasive cervical cancer aged 21 years and older in three U.S. states from 2014-2016. The study design consisted of three different data collection methods, including comprehensive registry data, a mailed survey, and medical chart abstraction. This overview compares the characteristics of cervical cancer survivors in the three states by study participation and eligibility status. Results: Registries identified 2,748 women diagnosed with invasive cervical cancer. Of these, 1,730 participants were eligible for participation, 28% (n = 481) enrolled in the study and 23% (n = 400) consented to the medical chart abstraction. Conclusion: The CICC Study is unique in that it addresses, with medical record verification, the medical history of woman 5 years before their cervical cancer diagnosis as well as provides information from the woman on her health care behaviors. This study provides data on a general population of cervical cancer survivors in three states that could be used to guide interventions to increase cervical cancer screening.