Trends in Education-Related Smoking Disparities Among U.S. Black or African American and White Adults: Intersections of Race, Sex, and Region.

INTRODUCTION: Despite its overall decline in the United States, trends in cigarette smoking could vary by intersection with demographic characteristics. We explored trends in education-related disparities in current smoking among U.S. adults by race (Black or African American and White), sex, and U.S. census region. AIMS AND METHODS: Data were from U.S. civilian non-institutionalized adults (aged ≥18 years) who self-identified as Black or African American and White and participated in the 1995-2019 Tobacco Use Supplement to the Current Population Survey. We estimated average annual percent changes in current cigarette smoking by the intersections of race, sex, census region, and educational attainment. We calculated educated-related prevalence differences in current cigarette smoking by subtracting the prevalence of bachelor's degrees from that of

Cumulative cigarette discount coupon exposure and trajectories of cigarette smoking: a longitudinal analysis in US adults.

INTRODUCTION: Exposure to cigarette discount coupons is associated with short-term increase in cigarette smoking; however, long-term impact is unclear. This study examined associations of cumulative exposure to cigarette coupons with trajectories of cigarette smoking in US adults. METHODS: Data were from the US Population Assessment of Tobacco and Health Study Adult Surveys (n=19 824; waves 2-5). We examined the number of waves participants received cigarette discount coupons/promotions during waves 2-4 and smoking behaviours at wave 5. Weighted logistic multivariable regression models were used, adjusting for wave 2 demographics and stratified by wave 2 smoking status. RESULTS: Among wave 2 adults who never smoked, each increment wave of exposure to cigarette discount coupons was associated with greater odds of wave 5 current smoking (adjusted OR (aOR)=2.09, 95% CI 1.24-3.52). Among wave 2 adults who smoked daily, each wave of coupon exposure was associated with lower odds of quitting smoking at wave 5 (aOR=0.67, 95% CI 0.62-0.73). Among wave 2 adults who had quit smoking, each increment wave of exposure was associated with greater odds of wave 5 current smoking (aOR=1.61, 95% CI 1.41-1.85). Additionally, women (vs men) and adults with lower socioeconomic status (SES) (vs higher SES) were more frequently exposed to cigarette coupons for a higher number of waves (p<0.05). DISCUSSION: Exposure to cigarette coupons exhibited a dose-response relationship with changes in cigarette smoking behaviours over time, promoting smoking progression and hindering smoking cessation especially among women and people with lower SES. Prohibiting these coupons can be an important tobacco control strategy.

Epidemiology of Cervical Adenocarcinoma and Squamous Cell Carcinoma Among Women Living With Human Immunodeficiency Virus Compared With the General Population in the United States.

BACKGROUND: Although cervical cancer risk overall is elevated among women living with human immunodeficiency virus (HIV; WLH), it is unclear whether risks are similarly elevated across histologic subtypes. METHODS: Data from the HIV/AIDS Cancer Match Study, a linkage of 12 US HIV and cancer registries during 1996 -2016, were used. Cervical cancers were categorized as adenocarcinoma (AC), squamous cell carcinoma (SCC), or other histologic subtype. Standardized incidence ratios compared rates of AC and SCC in WLH to those in general population. For WLH, risk factors for AC and SCC were evaluated using Poisson regression. Five-year survival was estimated by HIV status and histology. RESULTS: Overall, 62 615 cervical cancers were identified, including 609 in WLH. Compared with the general population, incidence of AC was 1.47 times higher (95% confidence interval [CI]: 1.03-2.05) and SCC was 3.62 times higher among WLH (95% CI: 3.31-3.94). Among WLH, there was no difference in AC rates by race/ethnicity or HIV transmission group, although SCC rates were lower among White women (vs Black) and higher among women who inject drugs (vs heterosexual transmission). Among WLH, 5-year overall survival was similar for AC (46.2%) and SCC (43.8%) but notably lower than for women not living with HIV. CONCLUSIONS: Among WLH, AC rates were modestly elevated, whereas SCC rates were greatly elevated compared with the general population. These findings suggest there may be differences in the impact of immunosuppression and HIV in the development of AC versus SCC, given their common etiology in human papillomavirus infection.

Mortality Risks Associated With Dual- and Poly-Tobacco-Product Use in the United States.

Increasing numbers of adults in the United States use more than 1 tobacco product. Most use cigarettes in combination with other tobacco products. However, little is known about the all-cause and cancer-specific mortality risks of dual- and poly-tobacco-product use. We examined these associations by pooling nationally representative data from the 1991, 1992, 1998, 2000, 2005, and 2010 National Health Interview Surveys (n = 118,144). Mortality information was obtained through linkage to the National Death Index. Cigarette smokers who additionally used other tobacco products smoked as many if not more cigarettes per day than exclusive cigarette smokers. Furthermore, cigarette smokers who additionally used other tobacco products had mortality risks that were as high as and sometimes higher than those of exclusive cigarette smokers. As tobacco use patterns continue to change and diversify, investigators in future studies need to carefully assess the impact of noncigarette tobacco products on cigarette use and determine associated disease risks.

Association of exposure to environmental tobacco smoke at home and risk of mortality among US never smokers by race/ethnicity, education, and income.

Environmental tobacco smoke (ETS) increases the risk of mortality among nonsmokers. Yet, few studies have examined this association among racial/ethnic minorities or among people with less education or income. We assessed self-reported ETS exposure at home among never smoking participants (n = 110,945) of the 1991-2010 National Health Interview Surveys. Deaths through 2015 were identified by the National Death Index. Hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause and cause-specific mortality were estimated using Cox proportional hazards regression models with age as the underlying time metric and adjusted for sex, race/ethnicity, education, household income, body mass index, region of residence, and survey year. We further stratified all-cause mortality analyses by race/ethnicity, household income, and education. Relative to no ETS at home, every day exposure was associated with higher risk of all-cause mortality (HR = 1.33, 95%CI: 1.23, 1.45), with similar HRs observed across strata of education and income. HRs were similar among non-Hispanic Black (HR = 1.28, 95%CI: 1.08, 1.53) and non-Hispanic White adults (HR = 1.34, 95%CI: 1.21, 1.48) although somewhat higher among Hispanic adults (HR = 1.65, 95%CI: 1.29, 2.10; P for pairwise comparison = 0.04). ETS exposure at home is an important contributor to mortality across strata of race/ethnicity, education, and income in the US.

Point-of-sale cigarette pricing strategies and young adult smokers' intention to purchase cigarettes: an online experiment.

BACKGROUND: Point-of-sale tobacco marketing has been shown to be related to tobacco use behaviours; however, specific influences of cigarette price discounts, price tiers and pack/carton availability on cigarette purchasing intention are less understood by the tobacco control community. METHODS: We conducted discrete choice experiments among an online sample of US young adult smokers (aged 18-30 years; n=1823). Participants were presented scenarios depicting their presence at a tobacco retail outlet with varying availability of cigarette price discounts, price tiers and pack/carton. At each scenario, participants were asked whether they would purchase cigarettes. Generalised linear regression models were used to examine the associations between of cigarette price discounts, price tiers and pack/carton with intention to purchase cigarettes overall and stratified by educational attainment. RESULTS: Participants chose to purchase cigarettes in 70.9% of the scenarios. Offering price discounts were associated with higher odds of choosing to purchase cigarettes. Reducing the number of cigarette price tiers available in the store was associated with lower odds of choosing to purchase cigarettes. Stratified analysis showed that offering discounts on high-tier cigarette packs increased odds of choosing to purchase cigarettes among young adult smokers with at least some college education, while offering discounts on medium-tier cigarette packs increased odds of choosing to purchase cigarettes among those with some college education or less (eg, with a 10% discount, adjusted odds ratio [AOR]some college=1.62, 95% confidence interval [CI] 1.21 to 2.16; AOR≤high school=1.44, 95% CI 1.08 to 1.93). CONCLUSIONS: Availability of cigarette price discounts, price tiers and pack/carton could potentially influence cigarette purchasing behaviours among young adult smokers. Regulating these marketing strategies may, therefore, reduce education-related smoking disparities.

Examining the relationship of sociodemographic factors, neighborhood cohesion and abnormal sleep duration among U.S. foreign-born subpopulations in the National Health Interview Survey.

BACKGROUND: Limited studies have examined the relationship of neighborhood cohesion and sleep duration between U.S. foreign-born Hispanics/Latinos and non-Hispanics/Latinos. METHODS: We conducted a multinomial logistic regression using the 2013-2018 National Health Interview Survey on U.S. foreign-born adults ≥18 (N = 27,253). The outcome variable, sleep duration, was categorized as short sleep (≤6 hours), normal sleep (7 to 8 hours), and long sleep (≥9 hours). Neighborhood cohesion was categorized using tertiles (low, medium, high) from self-reported Likert scores. Our model included sociodemographic factors (i.e., age, marital status), socioeconomic status (i.e., education, employment status), health risk behaviors (i.e., body mass index, smoking status, alcohol drinking status), ethnic identity (i.e., Mexican, Puerto Rican, Cuban, Dominican, Central or South American, other/multiple Hispanic/Latino, and non-Hispanic/Latino), and acculturation factors (i.e., years lived in the U.S.; the language of interview). RESULTS: Participants reporting low and medium neighborhood cohesion compared to high neighborhood cohesion had 45% (95% confidence interval [CI]:1.33-1.58) and 15% (95%CI:1.05-1.26) increased odds of short sleep (≤6 hours), compared to normal average sleep. Mexican participants had decreased odds of experiencing short sleep (adjusted odds ratio [AOR] = 0.82, 95%CI:0.73-0.92), while Puerto Ricans had increased odds of experiencing short sleep (AOR = 1.25, 95%CI:1.03-1.51) compared to non-Hispanics/Latinos. CONCLUSION: Neighborhood cohesion was associated with increased odds of short sleep duration. Social determinants, acculturation, and behavioral risk factors in the context of neighborhood cohesion are critical to understand U.S. foreign-born Hispanic/Latino sleep duration, as these factors may negatively synergize to exacerbate risk, worsening mental and physical health outcomes.

Estimating life expectancy adjusted by self-rated health status in the United States: national health interview survey linked to the mortality.

BACKGROUND: Life expectancy is increasingly incorporated in evidence-based screening and treatment guidelines to facilitate patient-centered clinical decision-making. However, life expectancy estimates from standard life tables do not account for health status, an important prognostic factor for premature death. This study aims to address this research gap and develop life tables incorporating the health status of adults in the United States. METHODS: Data from the National Health Interview Survey (1986-2004) linked to mortality follow-up through to 2006 (age ≥ 40, n = 729,531) were used to develop life tables. The impact of self-rated health (excellent, very good, good, fair, poor) on survival was quantified in 5-year age groups, incorporating complex survey design and weights. Life expectancies were estimated by extrapolating the modeled survival probabilities. RESULTS: Life expectancies incorporating health status differed substantially from standard US life tables and by health status. Poor self-rated health more significantly affected the survival of younger compared to older individuals, resulting in substantial decreases in life expectancy. At age 40 years, hazards of dying for white men who reported poor vs. excellent health was 8.5 (95% CI: 7.0,10.3) times greater, resulting in a 23-year difference in life expectancy (poor vs. excellent: 22 vs. 45), while at age 80 years, the hazards ratio was 2.4 (95% CI: 2.1, 2.8) and life expectancy difference was 5 years (5 vs. 10). Relative to the US general population, life expectancies of adults (age < 65) with poor health were approximately 5-15 years shorter. CONCLUSIONS: Considerable shortage in life expectancy due to poor self-rated health existed. The life table developed can be helpful by including a patient perspective on their health and be used in conjunction with other predictive models in clinical decision making, particularly for younger adults in poor health, for whom life tables including comorbid conditions are limited.

Trends of cigarette smoking and smokeless tobacco use among US firefighters and law enforcement personnel, 1992-2019.

BACKGROUND: Previous studies indicate tobacco use was more prevalent among firefighters and law enforcement personnel than in the US adult population. Trends of smoking and smokeless tobacco (SLT) use among these first responders are unknown. We examined trends in current smoking and SLT use among US firefighters and law enforcement personnel and compared smoking and SLT use prevalence in firefighters and law enforcement personnel to US adults in non-first-responder occupations. METHODS: Trends of smoking and SLT use prevalence among firefighters, law enforcement personnel, and adults in other occupations were assessed by fitting joinpoint regression models using the 1992-2019 Tobacco Use Supplement to the Current Population Survey (TUS-CPS). We used multivariable logistic regression models adjusted for demographics to examine associations between occupation and smoking and SLT use status using the 2018-2019 TUS-CPS data. Analyses were conducted in 2021. RESULTS: From 1992 to 2019, the smoking prevalence declined overall (all p's < 0.01). Though SLT use prevalence among adults in non-first-responder occupations declined (annual percentage change [APC] = -1.2%; 95% confidence interval [CI] = -1.7% to -0.7%), no changes were shown among firefighters and law enforcement personnel which suggests SLT use may be increasing among firefighters over time. In 2018-2019, firefighters (adjusted odds ratio [AOR] = 3.4; 95% CI = 1.7 to 6.8) and law enforcement personnel (AOR = 3.2; 95% CI = 2.1 to 4.7) were more likely than adults in non-first-responder occupations to use SLT. CONCLUSIONS: While smoking prevalence declined overall, SLT use is higher among firefighters and law enforcement personnel and may be increasing over time among firefighters. Research should examine reasons for SLT use by first responders. Comprehensive tobacco policies and SLT-specific cessation programs are needed for first responders.

E-cigarette initiation predicts subsequent academic performance among youth: Results from the PATH Study.

Research shows cigarette smoking is associated with lower academic performance among youth. This study examines how initiating e-cigarette use is associated with subsequent academic performance. Data from Waves 2-4 youth and parent surveys of the Population Assessment of Tobacco and Health (PATH) Study were analyzed. Youth (12-15 years old) who reported never using any tobacco products at Wave 2 were included in the analysis (n = 4960). Initiation of e-cigarettes and cigarettes was assessed at Wave 3. Weighted multivariable linear regression models were tested to assess the association between e-cigarette and cigarette initiation at Wave 3 and academic performance at Wave 4, controlling for covariates at Wave 2. At Wave 3, 4.3% and 1.9% of youth initiated e-cigarette and cigarette use, respectively. Youth who initiated e-cigarette use at Wave 3 had lower academic performance at Wave 4, compared to those who did not initiate e-cigarette use (adjusted regression coefficient [ARC] -0.22, 95% confidence interval [CI] -0.43, -0.02). Initiating cigarettes was also associated with lower academic performance (ARC -0.51, 95% CI -0.84, -0.18). Results indicate that e-cigarette use initiation is associated with lower subsequent academic performance, independent from the association between cigarette use initiation and lower academic performance among U.S. youth. Future research needs to examine whether preventing youth e-cigarette and cigarette use can lead to improvement in academic performance.

Metabolic syndrome and risk of ovarian and fallopian tube cancer in the United States: An analysis of linked SEER-Medicare data.

OBJECTIVE: To clarify associations between metabolic syndrome, its components, and ovarian cancer risk. METHODS: Using a case-control study within the U.S.-based Surveillance, Epidemiology and End Results (SEER)-Medicare linked database, we examined metabolic syndrome, its components (obesity, impaired fasting glucose, hypertension, HDL cholesterol, triglycerides), and ovarian/fallopian tube cancer risk. Cases (n = 16,850) were diagnosed with cancer between age 68-89 from 1994 through 2013. Controls (n = 281,878) were Medicare enrollees without these cancers living in registry areas. We estimated adjusted odds ratios (OR) and 95% confidence intervals (CI) with logistic regression. RESULTS: Women with metabolic syndrome had reduced ovarian cancer risk compared to women not meeting the diagnostic criteria (OR 0.86, CI 0.82-0.89). Having one or two syndrome components was associated with increased risk, but having ≥3 was not, when compared to women without any components. Impaired fasting glucose, which was highly prevalent among those with metabolic syndrome, was associated with reduced risk (OR 0.90, CI 0.87-0.93). Hypertension and high triglycerides, the most prevalent components among women without metabolic syndrome, were associated with increased risks (OR 1.08, CI 1.04-1.12; OR 1.05, CI 1.01-1.08, respectively). CONCLUSIONS: Specific metabolic syndrome components may have modest associations with ovarian cancer. These associations varied in direction and the prevalence of the components influenced the overall association between metabolic syndrome and ovarian cancer. Evaluating metabolic syndrome as a composite exposure could be misleading in ovarian cancer research, but further study of the syndrome components is warranted.

Postbiliary drainage rates of cholangitis are impacted by procedural technique for patients with supra-ampullary cholangiocarcinoma: A SEER-Medicare analysis.

BACKGROUND: The optimal approach to biliary drainage for patients with supra-ampullary cholangiocarcinoma remains undetermined. Violation of sphincter of Oddi results in bacterial colonization of bile ducts and may increase postdrainage infectious complications. We sought to determine if rates of cholangitis are affected by the type of drainage procedure. METHODS: We examined the Surveillance, Epidemiology, and End Results-Medicare linked database from 1991 to 2013 for cholangiocarcinoma. Biliary drainage procedures were categorized as sphincter of Oddi violating (SOV) or sphincter of Oddi preserving (SOP). Patients were stratified by resection. RESULTS: A total of 1914 patients were included in the final analysis. A total of 1264 patients did not undergo a postdrainage resection (SOP 83, SOV 1181) while 650 did undergo a postdrainage resection (SOP 26, SOV 624). For those patients not undergoing a postdrainage resection, the rate of cholangitis 90 days after an SOP procedure was 19% compared with 34% in the SOV cohort (P = 0.007). For those patients undergoing a postdrainage resection, the rate of cholangitis 90 days after an SOP procedure was less than 42.3% compared with 30% in the SOV cohort (P = 0.66). CONCLUSION: For patients with supra-ampullary cholangiocarcinoma that did not undergo resection, biliary drainage procedures that violated the sphincter of Oddi were associated with increased rates of cholangitis.

Genetic counseling, genetic testing, and risk perceptions for breast and colorectal cancer: Results from the 2015 National Health Interview Survey.

We examined what proportion of the U.S. population with no personal cancer history reported receiving either genetic counseling or genetic testing for cancer risk, and also the association of these behaviors with cancer risk perceptions. We used data from the 2015 National Health Interview Survey. Objective relative risk scores for breast (women) and colorectal (men and women) cancer risk were generated for individuals without a personal history of cancer. Participants' risk perceptions were compared with their objective relative risk. Of 12,631 women, 1.2% reported receiving genetic counseling and 0.8% genetic testing for hereditary breast cancer risk. Of 15,085 men and women, 0.8% reported receiving genetic counseling and 0.3% genetic testing for hereditary colorectal cancer risk. Higher breast cancer risk perception was associated with genetic counseling (OR: 4.31, 95%CI: 2.56, 7.26) and testing (OR: 3.56, 95%CI: 1.80, 7.03). Similarly, higher perception of colorectal cancer risk was associated with genetic counseling (OR: 5.04, 95%CI: 2.57, 9.89) and testing (OR: 5.92, 95%CI: 2.40, 14.63). A higher proportion of individuals with colorectal cancer risk perceptions concordant with their objective risk (vs. discordant) had undergone genetic counseling or testing for colorectal cancer risk. Concordant risk perceptions for breast cancer were not associated with breast cancer genetic counseling or testing. Given frequent dialogue about implementing population level programs involving genetic services for cancer risk, policy makers and investigators should consider the role of risk perceptions in the effectiveness and design of such programs and potential strategies for addressing inaccuracies in risk perceptions.

Examining urban and rural differences in perceived timeliness of care among cancer patients: A SEER-CAHPS study.

BACKGROUND: Rural cancer patients often have challenges in accessing quality care. This study examined associations between the place of residence at cancer diagnosis (urban vs rural) and patient ratings of access to care among older cancer survivors participating in Medicare-managed care. METHODS: Using Surveillance, Epidemiology, and End Results -Consumer Assessment of Healthcare Providers and Systems (SEER-CAHPS) linked data, which included SEER data and Medicare CAHPS patient experience surveys, this study identified urban (n = 6140) and rural Medicare beneficiaries (n = 686) aged ≥ 65 years with a breast, lung, colorectal, or prostate cancer diagnosis who had completed a Medicare CAHPS survey between 1998 and 2013. Multivariable models examined associations between survivor residence at the time of diagnosis and CAHPS measures of timeliness and ease of getting care. RESULTS: Respondents who resided in urban areas (vs rural) at the time of their cancer diagnosis rated their care significantly lower for Getting Care Quickly (b = -2.27; standard error = 0.95; P = .02). Although there were no overall significant differences for Getting Needed Care, there was a significant interaction between race/ethnicity and residence (P = .04): both non-Hispanic black and Hispanic respondents residing in rural areas rated Getting Needed Care lower than those respondents residing in urban areas. CONCLUSIONS: In contrast to prior studies, these findings suggest that rural survivors report more timely care than those in urban areas, but accessing needed care may be more challenging for racial/ethnic minority rural survivors. Future examination of specific barriers for urban and racial/ethnic minority rural survivors is warranted to ensure equitable access to quality cancer care. Cancer 2018. © 2018 American Cancer Society.

Impact of sociodemographic characteristics on underemployment in a longitudinal, nationally representative study of cancer survivors: Evidence for the importance of gender and marital status.

BACKGROUND: We examined the longitudinal association between sociodemographic factors and an expanded definition of underemployment among those with and without cancer history in the United States. METHODS: Medical Expenditure Panel Survey data (2007-2013) were used in multivariable regression analyses to compare employment status between baseline and two-year follow-up among adults aged 25-62 years at baseline (n = 1,614 with and n = 39,324 without cancer). Underemployment was defined as becoming/staying unemployed, changing from full to part-time, or reducing part-time work significantly. Interaction effects between cancer history/time since diagnosis and predictors known to be associated with employment patterns, including age, gender/marital status, education, and health insurance status at baseline were modeled. RESULTS: Approximately 25% of cancer survivors and 21% of individuals without cancer reported underemployment at follow-up (p = 0.002). Multivariable analyses indicated that those with a cancer history report underemployment more frequently (24.7%) than those without cancer (21.4%, p = 0.002) with underemployment rates increasing with time since cancer diagnosis. A significant interaction between gender/marital status and cancer history and underemployment was found (p = 0.0004). There were no other significant interactions. Married female survivors diagnosed >10 years ago reported underemployment most commonly (38.7%), and married men without cancer reported underemployment most infrequently (14.0%). A wider absolute difference in underemployment reports for married versus unmarried women as compared to married versus unmarried men was evident, with the widest difference apparent for unmarried versus married women diagnosed >10 years ago (18.1% vs. 38.7%). CONCLUSION: Cancer survivors are more likely to experience underemployment than those without cancer. Longer time since cancer diagnosis and gender/marital status are critical factors in predicting those at greatest risk of underemployment. The impact of cancer on work should be systematically studied across sociodemographic groups and recognized as a component of comprehensive survivorship care.

Comparison of SEER Treatment Data With Medicare Claims.

BACKGROUND: The population-based Surveillance, Epidemiology, and End Results (SEER) registries collect information on first-course treatment, including surgery, chemotherapy, radiation therapy, and hormone therapy. However, the SEER program does not release data on chemotherapy or hormone therapy due to uncertainties regarding data completeness. Activities are ongoing to investigate the opportunity to supplement SEER treatment data with other data sources. METHODS: Using the linked SEER-Medicare data, we examined the validity of the SEER data to identify receipt of chemotherapy and radiation therapy among those aged 65 and older diagnosed from 2000 to 2006 with bladder, female breast, colorectal, lung, ovarian, pancreas, or prostate cancer and hormone therapy among men diagnosed with prostate cancer at age 65 or older. Treatment collected by SEER was compared with treatment as determined by Medicare claims, using Medicare claims as the gold standard. The κ, sensitivity, specificity, positive predictive values, and negative predictive values were calculated for the receipt of each treatment modality. RESULTS: The overall sensitivity of SEER data to identify chemotherapy, radiation, and hormone therapy receipt was moderate (68%, 80%, and 69%, respectively) and varied by cancer site, stage, and patient characteristics. The overall positive predictive value was high (>85%) for all treatment types and cancer sites except chemotherapy for prostate cancer. CONCLUSIONS: SEER data should not generally be used for comparisons of treated and untreated individuals or to estimate the proportion of treated individuals in the population. Augmenting SEER data with other data sources will provide the most accurate treatment information.

Earlier presentation and application of curative treatments in hepatocellular carcinoma.

UNLABELLED: The purpose of the study was to assess the use of curative therapies for hepatocellular carcinoma (HCC) in the population. HCC treatment patterns were examined in Surveillance, Epidemiology, and End Results (SEER) 18 registries (28% of U.S.). Joinpoint regression analyses were performed to assess 2000-2010 incidence trends by tumor size, count, and receipt of potentially curative treatments (transplantation, resection, and ablation). SEER-Medicare data enabled evaluation of treatment patterns including receipt of sorafenib or transarterial chemoembolization (TACE) by HCC-associated comorbidities. Diagnoses of tumors≤5.0 cm in diameter significantly increased during 2000-2010, surpassing diagnosis of larger tumors. Overall, 23% of cases received potentially curative treatment. Joinpoint models indicated incidence rates of treatment with curative intent increased 17.6% per year during 2000-2005, then declined by -2.9% per year during 2005-2010 (P<0.001). Among HCC cases with a single tumor≤5.0 cm and no extension beyond the liver, use of ablative therapy significantly increased during 2000-2010. Use of invasive surgery for single tumors, regardless of size, significantly increased during the initial years of the decade, then plateaued. The group most likely to receive curative treatment in the SEER-Medicare cases was patients with one, small tumor confined to the liver (657 of 1,597 cases, 41%), with no difference in treatment by hepatic comorbidity status (P=0.24). A higher proportion of cases with reported liver-associated comorbidities were, however, diagnosed with tumors≤5.0 cm in diameter (1,745 0f 2,464, 71%) compared to patients with no reported comorbidities (996 of 2,596, 38%, P<0.001). CONCLUSION: Although more HCC patients were diagnosed with early disease over time, the use of curative treatments in this patient group has recently plateaued. Efforts to identify and treat more eligible candidates for curative therapy could be beneficial.

Annual patient time costs associated with medical care among cancer survivors in the United States.

BACKGROUND: Although patient time costs are recommended for inclusion in cost-effectiveness analyses, these data are not routinely collected. We used nationally representative data and a medical service-based approach to estimate the annual patient time costs among cancer survivors. METHODS: We identified adult 6699 cancer survivors and 86,412 individuals without a cancer history ages 18 years or more from 2008-2011 Medical Expenditure Panel Survey (MEPS). Service use was categorized as hospitalizations, emergency room use, provider visits, ambulatory surgery, chemotherapy, and radiation therapy. Service time estimates were applied to frequencies for each service category and the US median wage rate in 2011 was used to value time. We evaluated the association between cancer survivorship and service use frequencies and patient time costs with multivariable regression models, stratified by age group (18-64 and 65+ y). Sensitivity analyses evaluated different approaches for valuing time. RESULTS: Cancer survivors were more likely to have hospitalizations, emergency room visits, ambulatory surgeries, and provider visits in the past year than individuals without a cancer history in adjusted analyses (P<0.05). Annual patient time was higher for cancer survivors than individuals without a cancer history among those aged 18-64 years (30.2 vs. 13.6 h; P<0.001) and 65+ years (55.1 vs. 36.6 h; P<0.001), as were annual patient time costs (18-64 y: $500 vs. $226; P<0.001 and 65+ y: $913 vs. $607; P<0.001). CONCLUSIONS: Cancer survivors had greater annual medical service use and patient time costs than individuals without a cancer history. This medical service-based approach for estimating annual time costs can also be applied to other conditions.

Challenges in meeting Healthy People 2020 objectives for cancer-related preventive services, National Health Interview Survey, 2008 and 2010.

INTRODUCTION: Healthy People (HP) is the US program that formulates and tracks national health objectives for the nation. The National Health Interview Survey (NHIS) is a designated data source for setting and evaluating several HP targets in cancer. We used data from the 2008 and 2010 NHIS to provide a benchmark for national performance toward meeting HP 2020 cancer-related objectives. METHODS: HP 2020 cancer screening, provider counseling, and health care access objectives were selected. For each objective, NHIS measures for the overall population and several sociodemographic subgroups were calculated; the findings were compared with established HP 2020 targets. RESULTS: From 2008 to 2010, rates of breast and cervical cancer screening declined slightly while colorectal cancer screening rates increased by 7 percentage points. Rates of cancer screening and provider counseling were below HP targets. Meeting HP targets seems less likely for subgroups characterized by low income, no health insurance, or no usual source of care. Meeting HP targets for access to health services will require an increase of 18 percentage points in the proportion of persons under age 65 with health insurance coverage and an increase of 10 percentage points in the proportion aged 18 to 64 with a usual source of care. CONCLUSION: Whether HP objectives for cancer screening and health care access are met may depend on implementation of health care reform measures that improve access to and coordination of care. Better integration of clinical health care and community-based efforts for delivering high-quality screening and treatment services and elimination of health disparities are also needed.

Cumulative Exposure to E-Cigarette Coupons and Changes in E-Cigarette Use Among U.S. Adults.

INTRODUCTION: Coupons are an effective, frequently used tobacco marketing strategy. This study examined prospective associations between cumulative exposure to e-cigarette coupons and changes in e-cigarette use among U.S. adults. METHODS: Data were from a representative U.S. adult cohort (n=19,824) in the Population Assessment of Tobacco and Health Study (waves [W] 2, 3, 4, and 5), collected from October 2014 to November 2019. Analysis was conducted in 2022. Four logistic regression models examined associations of a number of waves for which participants received e-cigarette coupons during W2-W4 with changes in e-cigarette use: W2 never use to W5 current use (initiation); W2 current nondaily use to W5 daily use (progression); W2 current use to W5 former use (cessation), and W2 former use to W5 current use (return-to-use). RESULTS: Overall, 66.1% of U.S. adults never used e-cigarettes, 10.6% currently used e-cigarettes, and 23.4% formerly used e-cigarettes at W2. The average number of waves for which participants received e-cigarette coupons during W2-W4 was 0.13: 0.10 among W2 individuals who never used e-cigarettes, 0.30 among individuals who currently used e-cigarettes on a nondaily basis, 0.50 among individuals who currently used e-cigarettes, and 0.17 among individuals who formerly used e-cigarettes. Receiving coupons at increased waves was associated with (1) greater odds of initiation (AOR=1.58, 95% CI=1.26-1.97); (2) lower odds of cessation (AOR=0.78, 95% CI=0.67-0.91); and (3) increased odds of return-to-use (AOR=1.39, 95% CI=1.14-1.69). Findings did not differ by W2 cigarette smoking status. CONCLUSIONS: E-cigarette coupons may encourage and sustain e-cigarette use. Policies restricting e-cigarette coupons may curb e-cigarette use.