Introduction States’ decisions not to expand Medicaid under the Affordable Care Act (ACA) could potentially affect access to care and health status among their low-income residents. Methods The 2010–2012 nationally representative Medical Expenditure Panel Survey data were analyzed in 2015 to compare 9755 low-income adults aged 18–64 years from Medicaid-expanding states with 7455 adults from nonexpanding states. Multivariate logistic regression models were fitted to evaluate the differences in access to care, receipt of preventive services, quality of care, attitudes about health and self-reported health status by Medicaid expansion status. The differences in care utilization and medical expenditures between the two groups were examined using a 2-part modeling approach. Results Compared to their counterparts in Medicaid expansion states, low income adults in the nonexpanding states were more likely to be black and reside in rural areas and were less likely to have a usual source of care (prevalence ratio[PR] 0.86, 95% confidence interval[CI] 0.82–0.91) and recommended preventive services such as dental checkups (PR = 0.86; CI = 0.79–0.94), routine checks (PR = 0.89; CI = 0.83–0.95), flu vaccinations (PR = 0.89; CI = 0.81–0.98), and blood pressure checks (PR = 0.96; CI = 0.94–0.99). They also had less care utilization, fewer prescriptions, and less medical expenditures, but more out-of-pocket expenditures (all p-value <0.05). Conclusions Low-income adults in Medicaid nonexpanding states, who are disproportionately represented by blacks and rural residents, were worse off for multiple health-related outcomes compared to their counterparts in Medicaid expanding states at the baseline of ACA implementation, suggesting that low income adults residing in nonexpanding states may benefit markedly from the expansion of Medicaid.

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.

Introduction There is increasing concern regarding the financial burden of cancer on patients and their families. This study presents nationally representative estimates of annual out-of-pocket (OOP) burden among non-elderly cancer survivors and assesses the association between high OOP burden and access to care and preventive service utilization. Methods Using the 2008-2012 Medical Expenditure Panel Survey, 4,271 cancer survivors and 96,780 individuals without a history of cancer were identified, all aged 18-64 years. High annual OOP burden was defined as spending >20% of annual family income on OOP healthcare costs. Associations between high OOP burden and access to care were evaluated with multivariable logistic regression. Analyses were conducted in 2015. Results Compared with individuals without a cancer history, cancer survivors were more likely to report a high OOP burden (4.3% vs 3.4%, p=0.009) in adjusted analyses. High OOP burden was more common among cancer survivors who were poor (18.4%), with either public insurance (7.9%) or uninsured (5.7%), and not working (10.2%). Among cancer survivors, high OOP burden was associated with being unable to obtain necessary medical care (19.2% vs 12.5%, p=0.002), delaying necessary medical care (21.6% vs 13.8%, p=0.002), and lower breast cancer screening rates among age-appropriate women (63.2% vs 75.9%, p=0.02). Conclusions High OOP burden is more common among adults with a cancer history than those without a cancer history. High OOP burden was associated with being unable to obtain necessary medical care, delaying necessary medical care, and lower breast cancer screening rates among women.

Background With rising costs of cancer care, this study aims to estimate the prevalence of, and factors associated with, medical financial hardship intensity and financial sacrifices due to cancer in the United States. Methods We identified 963 cancer survivors from the 2016 Medical Expenditures Panel Survey - Experiences with Cancer. Medical financial hardship due to cancer was measured in material (e.g., filed for bankruptcy), psychological (e.g. worry about paying bills and finances) and behavioral (e.g., delaying or forgoing care due to cost) domains. Non-medical financial sacrifices included changes in spending and use of savings. Multivariable logistic models were used to identify characteristics associated with hardship intensity and sacrifices stratified by age group (18–64 or 65+ years). Results Among cancer survivors aged 18–64 years, 53.6%, 28.4% and 11.4% reported at least one, two, or all three domains of hardship, respectively. Among survivors aged 65+ years, corresponding percentages were 42.0%, 12.7% and 4.0%. Moreover, financial sacrifices due to cancer were more common in survivors aged 18–64 years (54.2%) than in survivors 65+ years (38.4%) (p<.001). Factors significantly associated with hardship intensity in multivariable analyses included low income and educational attainment, racial/ethnic minority, comorbidity, lack of private insurance coverage, extended employment change, and recent cancer treatment. Most were also significantly associated with financial sacrifices. Conclusion Medical financial hardship and financial sacrifices are substantial among cancer survivors in the United States, particularly for younger survivors. Impact Efforts to mitigate financial hardship for cancer survivors are warranted, especially for those at high risk.

Introduction Breast cancer in young women tends to be more aggressive, but timely treatment may not be always available, particularly to those without health insurance. We aim to examine whether the dependent coverage expansion under the Affordable Care Act (ACA-DCE) implemented in 2010 was associated with changes in time to treatment among women diagnosed with early stage breast cancer. Methods A total of 7,176 patients diagnosed with early stage breast cancer in 2007-2009 (pre-ACA) and 2011-2013 (post-ACA) were identified from the National Cancer Database. A quasiexperimental design difference-in-differences (DD) approach was used, with patients aged 19-25 (targeted by the policy) considered as the intervention group, and patients aged 26- 34 years (not affected by the policy) as the control group. Changes in the following treatment outcomes were examined: time from diagnosis to surgery, time from surgery to adjuvant chemotherapy, and time from adjuvant chemotherapy to radiation. Results Compared with the control group of patients aged 26-34, young patients aged 19-25 experienced a statistically nonsignificant decrease of 2.7 percentage points (95% CI [-1.2, 6.5]) in the uninsured rate. This did not translate into more reduction in delays to surgery (DD = 2.7 days, 95% CI [-3.2, 8.3]), chemotherapy (DD = -1.0 days, 95% CI [-7.2, 5.2]) or radiation (DD = 5.3 days, 95% CI [-15.6, 26.3]) in the younger cohort than the older cohort. Conclusions and Relevance No significant changes in time to treatment were found among young women diagnosed with early stage breast cancer after the implementation of the ACA-DCE. Future studies examining impacts of health care policy reform on breast cancer care are warranted to include patients from low-income families and to consider effects from Medicaid expansion.

Importance: Individuals diagnosed with cancer have elevated suicide risks compared with the general population. National estimates of suicide risks among individuals with cancer are lacking in the US, and knowledge about risk factors is limited. Objective: To provide contemporary estimates of suicide risks associated with cancer and to identify sociodemographic and clinical factors associated with suicide risks among individuals diagnosed with cancer. Design, Setting, and Participants: A population-based cohort of individuals diagnosed with cancer from January 1, 2000, to December 31, 2016, from 43 states in the US were followed up through December 31, 2016. Standardized mortality ratios (SMRs) were calculated adjusting for attained age at death, sex, and race and ethnicity groups to compare suicide risks in the cancer cohort vs the general US population. Cox proportional hazards regression models were fitted to identify cancer-specific risk factors of suicide among the cancer cohort. Analyses were conducted from October 27, 2020, to May 13, 2022. Main Outcomes and Measures: The main outcomes were risk of suicide death compared with the general population, measured by the standardized mortality ratio; and risk of suicide death associated with sociodemographic and clinical factors among individuals with cancer. Exposure: Diagnosis of cancer. Results: Among a total of 16771397 individuals with cancer, 8536814 (50.9%) were 65 years or older at cancer diagnosis, 8645631 (51.5%) were male, 13149273 (78.4%) were non-Hispanic White, and 20792 (0.1%) died from suicide. The overall SMR for suicide was 1.26 (95% CI, 1.24-1.28), with a decreasing trend (from an SMR of 1.67 [95% CI, 1.47-1.88] in 2000 to 1.16 [95% CI, 1.11-1.21] in 2016). Compared with the general population, elevated suicide risks were observed in the cancer cohort across all sociodemographic groups, with particularly high SMRs among Hispanic individuals (SMR, 1.48; 95% CI, 1.38-1.58), Medicaid-insured individuals (SMR, 1.72; 95% CI, 1.61-1.84), Medicare-insured individuals 64 years or younger (SMR, 1.94; 95% CI, 1.80-2.07), or uninsured individuals (SMR, 1.66; 95% CI, 1.53-1.80). Moreover, the highest SMR was observed in the first 6 months after the cancer diagnosis (SMR, 7.19; 95% CI, 6.97-7.41). Among individuals diagnosed with cancer, relatively higher suicide risks (ie, hazard ratios) were observed for cancer types with a poor prognosis and high symptom burden in the first 2 years after diagnosis, including cancers of oral cavity and pharynx, esophagus, stomach, brain and other nervous system, pancreas, and lung. After 2 years, individuals with cancers subject to long-term quality-of-life impairments, such as oral cavity and pharynx, leukemia, female breast, uterine, and bladder, had higher suicide risks. Conclusions and Relevance: In this cohort study of individuals with cancer, elevated suicide risks remained despite a decreasing trend during the past 2 decades. Suicide risks varied by sociodemographic and clinical factors. Timely symptom management and targeted psychosocial interventions are warranted for suicide prevention in individuals diagnosed with cancer..

Across countries in the world, China has the largest population of childhood cancer survivors. Research and care for the childhood cancer survivor population in China is fragmented. We searched studies published in English or Chinese language between January 1, 2000 and June 30, 2021, which examined various aspects of childhood cancer survivorship in China. The existing China-focused studies were largely based on a single institution, convenient samplings with relatively small sample sizes, restricted geographic areas, cross-sectional design, and focused on young survivors in their childhood or adolescence. These studies primarily focused on the physical late effects of cancer and its treatment, as well as the inferior psychological wellbeing among childhood cancer survivors, with few studies examining financial hardship, health promotion, and disease prevention, or healthcare delivery in survivorship. Our findings highlight the urgent need for research and evidence-based survivorship care to serve the childhood cancer survivor population in China.

Background: Cancer survivors represent a population with high health care needs. If and how cancer survivors were affected by the first year of the coronavirus disease 2019 (COVID-19) pandemic are largely unknown. Methods: Using data from the nationwide, population-based Behavioral Risk Factor Surveillance System (2017–2020), the authors investigated changes in health-related measures during the COVID-19 pandemic among cancer survivors and compared them with changes among adults without a cancer history in the United States. Sociodemographic and health-related measures such as insurance coverage, employment status, health behaviors, and health status were self-reported. Adjusted prevalence ratios of health-related measures in 2020 versus 2017–2019 were calculated with multivariable logistic regressions and stratified by age group (18–64 vs. ≥65 years). Results: Among adults aged 18–64 years, the uninsured rate did not change significantly in 2020 despite increases in unemployment. The prevalence of unhealthy behaviors, such as insufficient sleep and smoking, decreased in 2020, and self-rated health improved, regardless of cancer history. Notably, declines in smoking were larger among cancer survivors than nonelderly adults without a cancer history. Few changes were observed for adults aged ≥65 years. Conclusions: Further research is needed to confirm the observed positive health behavior and health changes and to investigate the role of potential mechanisms, such as the national and regional policy responses to the pandemic regarding insurance coverage, unemployment benefits, and financial assistance. As polices related to the public health emergency expire, ongoing monitoring of longer term effects of the pandemic on cancer survivorship is warranted.

Background: Transgender persons face many barriers to health care that may delay cancer diagnosis and treatment, possibly resulting in decreased survival. Yet, data on cancer in this population are limited. We examined cancer stage at diagnosis, treatment, and survival among transgender patients compared with cisgender patients in the National Cancer Database (NCDB). Methods: Gender (male, female, or transgender) was extracted from medical records from patients diagnosed with cancer between 2003 and 2016. Logistic regression estimated odds ratios (ORs) for the associations between gender and stage at diagnosis and treatment receipt. Cox proportional hazards regression estimated hazard ratios (HRs) for associations between gender and all-cause survival. Results: Among 11 776 699 persons with cancer in NCDB, 589 were transgender. Compared with cisgender patients, transgender patients may be more likely to be diagnosed with advanced stage lung cancer (OR = 1.76, 95% confidence interval [CI] = 0.95 to 3.28); be less likely to receive treatment for kidney (OR = 0.19, 95% CI = 0.08 to 0.47) and pancreas (OR = 0.33, 95% CI = 0.11 to 0.95) cancers; and have poorer survival after diagnosis with non-Hodgkin lymphoma (HR = 2.34, 95% CI = 1.51 to 3.63), prostate (HR = 1.91, 95% CI = 1.06 to 3.45), and bladder cancers (HR = 2.86, 95% CI = 1.36 to 6.00). Similar associations were found for other cancer sites, although not statistically significant. Conclusion: Transgender patients may be diagnosed at later stages, be less likely to receive treatment, and have worse survival for many cancer types. Small sample size hampered our ability to detect statistically significant differences for some cancer sites. There is a need for transgender-focused cancer research as the population ages and grows.

Importance: Health care was disrupted in the US during the first quarter of 2020 with the emergence of the COVID-19 pandemic. Early reports in selected samples suggested that cancer screening services decreased greatly, but population-based estimates of cancer screening prevalence during 2020 have not yet been reported. Objective: To examine changes in breast cancer (BC), cervical cancer (CC), and colorectal cancer (CRC) screening prevalence with contemporary national, population-based Behavioral Risk Factor Surveillance System (BRFSS) data. Design, Setting, and Participants: This survey study included respondents from the 2014, 2016, 2018, and 2020 BRFSS surveys who were eligible for BC (women aged 50-74 years), CC (women aged 25-64 years), and CRC (women and men aged 50-75 years) screening. Data analysis was performed from September 2021 to February 2022. Exposures: Calendar year. Main Outcomes and Measures: Self-reported receipt of a recent (defined as in the past year) BC, CC, and CRC screening test. Adjusted prevalence ratios (aPRs) comparing 2020 vs 2018 prevalence and 95% CIs were computed. Results: In total, 479248 individuals were included in the analyses of BC screening, 301453 individuals were included in CC screening, and 854210 individuals were included in CRC screening, In 2020, among respondents aged 50 to 75 years, 14815 (11.4%) were Black, 12081 (12.6%) were Hispanic, 156198 (67.3%) were White, and 79234 (29.9%) graduated from college (all percentages are weighted). After 4 years (2014-2018) of nearly steady prevalence, past-year BC screening decreased by 6% between 2018 and 2020 (from 61.6% in 2018 to 57.8% in 2020; aPR, 0.94; 95% CI, 0.92-0.96), and CC screening decreased by 11% (from 58.3% in 2018 to 51.9% in 2020; aPR, 0.89; 95% CI, 0.87-0.91). The magnitude of these decreases was greater in people with lower educational attainment and Hispanic persons. CRC screening prevalence remained steady; past-year stool testing increased by 7% (aPR, 1.07; 95% CI, 1.02-1.12), offsetting a 16% decrease in colonoscopy (aPR, 0.84; 95% CI, 0.82-0.88) between 2018 and 2020. Conclusions and Relevance: In this survey study, stool testing increased and counterbalanced a decrease in colonoscopy during 2020, and BC and CC screening modestly decreased. How these findings might be associated with outcomes is not yet known, but they will be important to monitor, especially in populations with lower socioeconomic status, who experienced greater screening decreases during the COVID-19 pandemic..