Incarceration History and Access to and Receipt of Health Care in the US.

Importance: People with a history of incarceration may experience barriers in access to and receipt of health care in the US. Objective: To examine the associations of incarceration history and access to and receipt of care and the contribution of modifiable factors (educational attainment and health insurance coverage) to these associations. Design, Setting, and Participants: Individuals with and without incarceration history were identified from the 2008 to 2018 National Longitudinal Survey of Youth 1979 cohort. Analyses were conducted from October 2022 to December 2023. Main Measures and Outcomes: Access to and receipt of health care were measured as self-reported having usual source of care and preventive service use, including physical examination, influenza shot, blood pressure check, blood cholesterol level check, blood glucose level check, dental check, and colorectal, breast, and cervical cancer screenings across multiple panels. To account for the longitudinal study design, we used the inverse probability weighting method with generalized estimating equations to evaluate associations of incarceration history and access to care. Separate multivariable models examining associations between incarceration history and receipt of each preventive service adjusted for sociodemographic factors; sequential models further adjusted for educational attainment and health insurance coverage to examine their contribution to the associations of incarceration history and access to and receipt of health care. Results: A total of 7963 adults with 41 614 person-years of observation were included in this study; of these, 586 individuals (5.4%) had been incarcerated, with 2800 person-years of observation (4.9%). Compared with people without incarceration history, people with incarceration history had lower percentages of having a usual source of care or receiving preventive services, including physical examinations (69.6% vs 74.1%), blood pressure test (85.6% vs 91.6%), blood cholesterol level test (59.5% vs 72.2%), blood glucose level test (61.4% vs 69.4%), dental check up (51.1% vs 66.0%), and breast (55.0% vs 68.2%) and colorectal cancer screening (65.6% vs 70.3%). With additional adjustment for educational attainment and health insurance, the associations of incarceration history and access to care were attenuated for most measures and remained statistically significant for measures of having a usual source of care, blood cholesterol level test, and dental check up only. Conclusions and Relevance: The results of this survey study suggest that incarceration history was associated with worse access to and receipt of health care. Educational attainment and health insurance may contribute to these associations. Efforts to improve access to education and health insurance coverage for people with an incarceration history might mitigate disparities in care.

Medicaid Expansion Under the Affordable Care Act and Early Mortality Following Lung Cancer Surgery.

Importance: Medicaid expansion under the Patient Protection and Affordable Care Act is associated with gains in health insurance coverage, earlier stage diagnosis, and improved survival among patients with cancer. Objective: To examine the association of Medicaid expansion with changes in early mortality among adults undergoing surgical resection of non-small cell lung cancer (NSCLC), a setting in which access to care is a major determinant of survival. Design, Setting, and Participants: This cohort study used the National Cancer Database to identify 14 984 adults 45 to 64 years of age who underwent surgical resection of NSCLC between 2008 and 2019. Analysis was conducted between March 28, 2021, and September 1, 2023. Exposure: State of residence Medicaid expansion status. Main Outcomes and Measures: Descriptive statistics were used to compare study population characteristics by Medicaid expansion status of patients' state of residence. Difference-in-differences analyses were used to evaluate the association between Medicaid expansion and postoperative mortality before implementation of the ACA (2008-2013) vs after (2014-2019). Results: Among 14 984 adults included, the mean (SD) age was 56.3 (5.1) years, 54.6% were women, and 62.1% lived in Medicaid expansion states. Both 30-day (from 0.97% to 0.26%) and 90-day (from 2.63% to 1.32%) postoperative mortality decreased from before the ACA to after among patients residing in Medicaid expansion states (both P < .001) but not in nonexpansion states (30-day mortality before the ACA, 0.75% vs after the ACA, 0.68%; P = .74; and 90-day mortality before the ACA, 2.43% vs after the ACA, 2.20%; P = .57), leading to a difference-in-differences of -0.64 percentage points (95% CI, -1.19 to -0.08; P = .03) for 30-day mortality and -1.08 percentage points (95% CI, -2.08 to -0.08; P = .03) for 90-day mortality. The difference-in-differences for in-hospital mortality was not significant (P = .34) between expansion states (1.41% before the ACA to 0.77% after the ACA; 0.63 percentage point decrease; P = .004) and nonexpansion states (1.49% before the ACA to 1.20% after the ACA; 0.30 percentage point decrease; P = .29). Conclusions and Relevance: In this cohort study of patients with NSCLC, Medicaid expansion was associated with declines in 30- and 90-day postoperative mortality following hospital discharge. These findings suggest that Medicaid expansion may be an effective strategy for improving access to care and cancer outcomes in this population.

Assessment of Changes in Cancer Treatment During the First Year of the COVID-19 Pandemic in the US.

Importance: The COVID-19 pandemic led to disruptions in access to health care, including cancer care. The extent of changes in receipt of cancer treatment is unclear. Objective: To evaluate changes in the absolute number, proportion, and cancer treatment modalities provided to patients with newly diagnosed cancer during 2020, the first year of the pandemic. Design, Setting, and Participants: In this cohort study, adults aged 18 years and older diagnosed with any solid tumor between January 1, 2018, and December 31, 2020, were identified using the National Cancer Database. Data analysis was conducted from September 19, 2022, to July 28, 2023. Exposure: First year of the COVID-19 pandemic. Main Outcomes and Measures: The expected number of procedures for each treatment modality (surgery, radiotherapy, chemotherapy, immunotherapy, and hormonal therapy) in 2020 were calculated using historical data (January 1, 2018, to December 31, 2019) with the vector autoregressive method. The difference between expected and observed numbers was evaluated using a generalized estimating equation under assumptions of the Poisson distribution for count data. Changes in the proportion of different types of cancer treatments initiated in 2020 were evaluated using the additive outlier method. Results: A total of 3 504 342 patients (1 214 918 in 2018, mean [SD] age, 64.6 [13.6] years; 1 235 584 in 2019, mean [SD] age, 64.8 [13.6] years; and 1 053 840 in 2020, mean [SD] age, 64.9 [13.6] years) were included. Compared with expected treatment from previous years' trends, there were approximately 98 000 fewer curative intent surgical procedures performed, 38 800 fewer chemotherapy regimens, 55 500 fewer radiotherapy regimens, 6800 fewer immunotherapy regimens, and 32 000 fewer hormonal therapies initiated in 2020. For most cancer sites and stages evaluated, there was no statistically significant change in the type of cancer treatment provided during the first year of the pandemic, the exception being a statistically significant decrease in the proportion of patients receiving breast-conserving surgery and radiotherapy with a simultaneous statistically significant increase in the proportion of patients undergoing mastectomy for treatment of stage I breast cancer during the first months of the pandemic. Conclusions and Relevance: In this large national cohort study, a significant deficit was noted in the number of cancer treatments provided in the first year of the COVID-19 pandemic. Data indicated that this deficit in the number of cancer treatments provided was associated with decreases in the number of cancer diagnoses, not changes in treatment strategies.

Climate change and health equity: A research agenda for psychological science.

Climate change poses unique and substantial threats to public health and well-being, from heat stress, flooding, and the spread of infectious disease to food and water insecurity, conflict, displacement, and direct health hazards linked to fossil fuels. These threats are especially acute for frontline communities. Addressing climate change and its unequal impacts requires psychologists to consider temporal and spatial dimensions of health, compound risks, as well as structural sources of vulnerability implicated by few other public health challenges. In this review, we consider climate change as a unique context for the study of health inequities and the roles of psychologists and health care practitioners in addressing it. We conclude by discussing the research infrastructure needed to broaden current understanding of these inequities, including new cross-disciplinary, institutional, and community partnerships, and offer six practical recommendations for advancing the psychological study of climate health equity and its societal relevance. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Past Disruptions in Health Insurance Coverage and Access to Care Among Insured Adults.

INTRODUCTION: Although the association between health insurance coverage and access to care is well documented, it is unclear whether the deleterious effects of being uninsured are strictly contemporaneous or whether previous disruptions in coverage have persistent effects. This study addresses this issue using nationally representative data covering 2011-2019 to estimate the extent to which disruptions in health insurance coverage continued to be associated with poor access even after coverage was regained. METHODS: Analysis was conducted in 2022. Using a nationally representative cohort of insured adults aged 18-64 years (N=39,904) and multivariable logistic regression models, the authors estimated the association between past disruptions in coverage (occurring at least 1 year before) and the risks of lacking a usual source of care provider and having unmet medical need. RESULTS: Among insured nonelderly adults, the risk of being without a usual source of care provider was between 18% (risk ratio=1.18; 95% CI=1.00, 1.38) and 75% higher (risk ratio=1.75; 95% CI=1.56, 1.93) than for those with continuous coverage; the risk of having unmet medical needs was between 41% (risk ratio=1.41; 95% CI=1.00, 1.83) and 66% (risk ratio=1.66; 95% CI=1.26, 2.06) higher. Longer insurance disruptions were associated with a higher risk of lacking a usual source of care provider. CONCLUSIONS: Previous disruptions in health insurance coverage continued to be negatively associated with access to care for more than a year after coverage was regained. Improving access to care in the U.S. may require investing in policies and programs that help to strengthen coverage continuity among individuals with insurance coverage rather than focusing exclusively on helping uninsured individuals to gain coverage.

Access to Care Among Adults with Limited English Proficiency.

BACKGROUND: There are approximately 25.6 million individuals with limited English proficiency (LEP) in the USA, and this number is increasing. OBJECTIVE: Investigate associations between LEP and access to care in adults. DESIGN: Cross-sectional nationally representative survey. PARTICIPANTS: Adults with (n = 18,908) and without (n = 98,060) LEP aged ≥ 18 years identified from the 2014-2018 Medical Expenditure Panel Survey MAIN MEASURES: Associations between LEP and access to healthcare and preventive services were evaluated with multivariable logistic regression models, stratified by age group (18-64 and ≥ 65 years). The official government definition of LEP (answers "not at all/not well/well" to the question "How well do you speak English?") was used. Access to care included having a usual source of care (and if so, distance from usual source of care, difficulty contacting usual source of care, and provision of extended hours), visiting a medical provider in the past 12 months, having to forego or delay care, and having trouble paying for medical bills. Preventive services included blood pressure and cholesterol check, flu vaccination, and cancer screening. KEY RESULTS: Adults aged 18-64 years with LEP were significantly more likely to lack a usual source of care (adjusted odds ratios [aOR] = 2.48; 95% confidence interval [CI] = 2.27-2.70), not have visited a medical provider (aOR = 2.02; CI = 1.89-2.16), and to be overdue for receipt of preventive services, including blood pressure check (aOR = 2.00; CI = 1.79-2.23), cholesterol check (aOR = 1.22; CI = 1.03-1.44), and colorectal cancer screening (aOR = 1.58; CI = 1.37-1.83) than adults without LEP. Results were similar among adults aged ≥ 65 years. CONCLUSIONS: Adults with LEP had consistently worse access to care than adults without LEP. System-level interventions, such as expanding access to health insurance coverage, providing language services, improving provider training in cultural competence, and increasing diversity in the medical workforce may minimize barriers and improve equity in access to care.

The first year of the COVID-19 pandemic and health among cancer survivors in the United States.

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.

Assessment of Proton Beam Therapy Use Among Patients With Newly Diagnosed Cancer in the US, 2004-2018.

Importance: Proton beam therapy (PBT) is a potentially superior technology to photon radiotherapy for tumors with complex anatomy, those surrounded by sensitive tissues, and childhood cancers. Objective: To assess patterns of use of PBT according to the present American Society of Radiation Oncology (ASTRO) clinical indications in the US. Design, Setting, and Participants: Individuals newly diagnosed with cancer between 2004 and 2018 were selected from the National Cancer Database. Data analysis was performed from October 4, 2021, to February 22, 2022. ASTRO's Model Policies (2017) were used to classify patients into group 1, for which health insurance coverage for PBT treatment is recommended, and group 2, for which coverage is recommended only if additional requirements are met. Main Outcomes and Measures: Use of PBT. Results: Of the 5 919 368 patients eligible to receive PBT included in the study, 3 206 902 were female (54.2%), and mean (SD) age at diagnosis was 62.6 (12.3) years. Use of PBT in the US increased from 0.4% in 2004 to 1.2% in 2018 (annual percent change [APC], 8.12%; P < .001) due to increases in group 1 from 0.4% in 2010 to 2.2% in 2018 (APC, 21.97; P < .001) and increases in group 2 from 0.03% in 2014 to 0.1% in 2018 (APC, 30.57; P < .001). From 2010 to 2018, among patients in group 2, PBT targeted to the breast increased from 0.0% to 0.9% (APC, 51.95%), and PBT targeted to the lung increased from 0.1% to 0.7% (APC, 28.06%) (P < .001 for both). Use of PBT targeted to the prostate decreased from 1.4% in 2011 to 0.8% in 2014 (APC, -16.48%; P = .03) then increased to 1.3% in 2018 (APC, 12.45; P < .001). Most patients in group 1 treated with PBT had private insurance coverage in 2018 (1039 [55.4%]); Medicare was the most common insurance type among those in group 2 (1973 [52.5%]). Conclusions and Relevance: The findings of this study show an increase in the use of PBT in the US between 2004 to 2018; prostate was the only cancer site for which PBT use decreased temporarily between 2011 and 2014, increasing again between 2014 and 2018. These findings may be especially relevant for Medicare radiation oncology coverage policies.

Health Insurance Disruptions and Care Access and Affordability in the U.S.

INTRODUCTION: Health insurance is associated with better care in the U.S., but little is known about the associations of coverage disruptions (i.e., periods without insurance) with care access, receipt, and affordability. METHODS: Adults aged 18-64 years with current private (n=124,746), public (n=30,932), or no (n=31,802) insurance coverage were identified from the 2011-2018 National Health Interview Survey. Data were analyzed in 2020. Separate multivariable logistic regressions evaluated the associations of having coverage disruptions or being uninsured with care access, receipt, and affordability. RESULTS: Overall, 5.0% of currently insured adults with private and 10.7% with public insurance reported a coverage disruption in the previous year, representing nearly 9.1 million adults in 2018. Among currently uninsured, 24.9% reported coverage loss within the previous year, representing nearly 8.1 million adults in 2018. Among adults with current private or current public coverage, disruptions were associated with lower receipt of all preventive services (AOR=0.42, 95% CI=0.37, 0.46 and AOR=0.48, 95% CI=0.40, 0.58, respectively), with forgoing any needed care because of cost (AOR=4.79, 95% CI=4.44, 5.17 and AOR=4.28, 95% CI=3.86, 4.75), and with medication nonadherence because of cost (AOR=3.55, 95% CI=3.13, 4.03 and AOR=4.09, 95% CI=3.43, 4.88) compared with that among adults with continuous coverage (p<0.05). Longer disruptions among currently insured adults were significantly associated with worse care access, receipt, and affordability, with dose-response patterns. Currently uninsured adults, especially those with longer uninsured periods, reported significantly worse care access, receipt, and affordability than currently insured adults with coverage disruptions or continuous coverage. CONCLUSIONS: Findings highlight the importance of continuous insurance coverage; disruptions owing to the COVID-19 pandemic will likely have adverse consequences for care access and affordability.

Nutrition Label Numeracy: Disparities and Association with Health Behaviors.

OBJECTIVE: We investigated the relative importance of nutrition label numeracy and sociodemographic characteristics in predicting health behaviors. METHODS: Secondary data analysis of data collected from the National Cancer Institute's Health Information National Trends Survey (HINTS 4, cycle 3, 2013). Weighted age-adjusted ordinal logistical regression was used to evaluate sociodemographic characteristics among individuals with different nutrition label numeracy levels. Dominance analysis was conducted to rank nutrition label numeracy and sociodemographic characteristics in order of importance as predictors of health behavior. RESULTS: Lower levels of nutrition label numeracy were associated with older age, black and Hispanic race/ethnicity, unemployment, being born outside of the United States, lower English proficiency, lower education achievement, lower income, and living in the South. Nutrition label numeracy and income were the most important predictors of health behaviors, accounting for about 50% of the variance in fruit consumption and level of effort, frustration, concern, and confusion experienced while seeking health information. CONCLUSIONS: Nutrition label numeracy differed significantly among sociodemographic groups and was a strong predictor of health behaviors. When developing health interventions targeting dietary behaviors, disparities in nutrition label numeracy comprehension should be considered.