Purpose To estimate the prevalence of financial hardship associated with cancer in the United States and identify characteristics of cancer survivors associated with financial hardship. Methods We identified 1,202 adult cancer survivors diagnosed or treated at ≥ 18 years of age from the 2011 Medical Expenditure Panel Survey Experiences With Cancer questionnaire. Material financial hardship was measured by ever (1) borrowing money or going into debt, (2) filing for bankruptcy, (3) being unable to cover one’s share of medical care costs, or (4) making other financial sacrifices because of cancer, its treatment, and lasting effects of treatment. Psychological financial hardship was measured as ever worrying about paying large medical bills. We examined factors associated with any material or psychological financial hardship using separate multivariable logistic regression models stratified by age group (18 to 64 and ≥ 65 years). Results Material financial hardship was more common in cancer survivors age 18 to 64 years than in those ≥ 65 years of age (28.4% v 13.8%; P < .001), as was psychological financial hardship (31.9% v 14.7%, P < .001). In adjusted analyses, cancer survivors age 18 to 64 years who were younger, female, nonwhite, and treated more recently and who had changed employment because of cancer were significantly more likely to report any material financial hardship. Cancer survivors who were uninsured, had lower family income, and were treated more recently were more likely to report psychological financial hardship. Among cancer survivors ≥ 65 years of age, those who were younger were more likely to report any financial hardship. Conclusion Cancer survivors, especially the working-age population, commonly experience material and psychological financial hardship.
Background Over the past several decades, the incidence of esophageal adenocarcinoma (EAC) has rapidly increased. The purpose of this analysis was to examine temporal trends in EAC incidence and mortality within the US population and, in addition, to explore these trends within subgroups of the population. Methods The National Cancer Institute (NCI) Surveillance, Epidemiology and End Results (SEER 9) data were used to examine incidence and incidence-based (IB) mortality in EAC from 1975 to 2009. Secular trends in incidence and IB mortality by cancer stage, sex, and race were further characterized using the NCI's Joinpoint Regression program. Results Based on SEER 9 data, EAC incidence and IB mortality continues to increase in the United States. However, since the mid-1990s, the overall rate of increase in both EAC incidence and IB mortality appears to be slowing. In addition, in early-stage cancers, there is a noticeable leveling off of IB mortality rates and divergence from incidence starting in the late 1990s. Over the study period, the average annual percentage increase in incidence was 6.1% in men and 5.9% in women. Conclusions EAC incidence and IB mortality rates continue to rise in the United States, although at a slower rate in more recent years. In early-stage cancers, IB mortality and incidence rates have diverged primarily because IB mortality rates have plateaued beginning in the late 1990s. Although EAC continues to be less common in women, the rate of increase in EAC incidence is similar in both sexes.
MethodsUsing the 2008 to 2010 Medical Expenditure Panel Survey, we identified 4,960 cancer survivors and 64,431 individuals without a history of cancer age Ն 18 years. Direct medical costs were measured using annual health care expenditures and examined by source of payment and service type. Indirect morbidity costs were estimated from lost productivity as a result of employment disability, missed work days, and lost household productivity. We evaluated the economic burden of cancer survivorship by estimating excess costs among cancer survivors, stratified by time since diagnosis (recently diagnosed [Յ 1 year] and previously diagnosed [Ͼ 1 year]), compared with individuals without a history of cancer using multivariable regression models stratified by age (18 to 64 and Ն 65 years), controlling for age, sex, race/ethnicity, education, and comorbidities.
Adolescent and young adult cancer survivors—those who were ages 15–39 at their first cancer diagnosis—have important health limitations. These survivors are at risk for higher health care expenditures and lost productivity, compared to adults without a history of cancer. Using Medical Expenditure Panel Survey data, we present nationally representative estimates of the economic burden among people who were diagnosed with cancer in adolescence or young adulthood. Our findings demonstrate that surviving cancer at this age is associated with a substantial economic burden. Compared to adults without a history of cancer, adolescent and young adult cancer survivors had excess annual medical expenditures of $3,170 per person and excess annual productivity losses of $2,250 per person. Multifaceted prevention strategies, including education and sustained intervention programs to ensure access to lifelong risk-based follow-up care, may be effective ways to improve the economic outcomes associated with cancer survivorship in this population.
Age, sex, and racial/ethnic disparities exist, but are understudied in pancreatic adenocarcinoma (PDAC). We used the Surveillance, Epidemiology, and End Results (SEER)–Medicare linked database to determine whether survival and treatment disparities persist after adjusting for demographic and clinical characteristics. Our study included PDAC patients diagnosed between 1992 and 2011. We used Cox regression to compare survival across age, sex, and race/ethnicity within early‐stage and late‐stage cancer subgroups, adjusting for marital status, urban location, socioeconomics, SEER region, comorbidities, stage, lymph node status, tumor location, tumor grade, diagnosis year, and treatment received. We used logistic regression to compare differences in treatment received across age, sex, and race/ethnicity. Among 20,896 patients, 84% were White, 9% Black, 5% Asian, and 2% Hispanic. Median age was 75; 56% were female and 53% had late‐stage cancer. Among early‐stage patients in the adjusted Cox model, older patient subgroups had worse survival compared with ages 66–69 (HR > 1.1, P < 0.01 for groups >69); no survival differences existed between sexes. Black (HR = 1.1, P = 0.01) and Hispanic (HR = 1.2, P < 0.01) patients had worse survival compared with White. Among late‐stage cancer patients, patients over age 84 had worse survival than those aged 66–69 (HR = 1.1, P < 0.01), and males (HR = 1.08, P < 0.01) had worse survival than females; there were no racial/ethnic differences. Older age and minority race/ethnicity were associated with lower likelihood of receiving chemotherapy, radiation, and/or surgery. Age and racial/ethnic disparities in survival outcomes and treatment received exist for PDAC patients; these disparities persist after adjusting for differences in demographic and clinical characteristics.
Background The consumption of added sugars (e.g., white sugar, brown sugar, high-fructose corn syrup) displaces nutrient-dense foods in the diet. The intake of added sugars in the United States (US) is excessive. Little is known about the predictors of added sugars intake. Objective To examine the independent relationships of socioeconomic status and race/ethnicity with added sugars intake, and to evaluate the consistency of relationships using a short instrument to those from a different survey using more precise dietary assessment. Design Cross-sectional, nationally representative, interviewer-administered survey Subjects/setting Adults (≥18 years) participating in the 2005 US National Health Interview Survey (NHIS) Cancer Control Supplement responding to 4 added sugars questions (n=28,948) Statistical analyses performed The intake of added sugars was estimated using validated scoring algorithms. Multivariate analysis incorporating sample weights and design effects was conducted. Least squares means and confidence intervals, and significance tests using Wald F statistics are presented. Analyses were stratified by gender and controlled for potential confounders. Results The intake of added sugars was higher among males than females and inversely related to age, educational status, and family income. Asian-Americans had the lowest intake and Hispanics the next lowest intake. Among men, blacks had the highest intake, although whites and American Indians/Alaskan Natives (AI/ANs) also had high intakes. Among women, blacks and AI/ANs had the highest intakes. Intake of added sugars was inversely related to educational attainment in whites, blacks, Hispanic men, and AI/AN men, but was unrelated in Asian-Americans. These findings were generally consistent with relationships in NHANES 2003–04 (using one or two 24-hour dietary recalls). Conclusions Race/ethnicity, family income and educational status are independently associated with intake of added sugars. Groups with low income and education are particularly vulnerable to diets with high added sugars. Differences among race/ethnicity groups suggest that interventions to reduce intake of added sugars should be tailored. The NHIS added sugars questions with accompanying scoring algorithms appear to provide an affordable and useful means of assessing relationships between various factors and added sugars intake.
Research using the MEPS Experiences with Cancer Survivorship Supplement can inform efforts by health care policy makers, healthcare systems, providers, and employers to improve the cancer survivorship experience in the USA.
Intake of fruit and vegetables was generally unrelated to total cancer incidence in this cohort. Residual confounding by smoking is a likely explanation for the observed inverse association with vegetable intake among men.
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