Associations between Medicaid enrollment and diagnosis stage and survival among pediatric cancer patients.

BACKGROUND: Medicaid-associated disparities in childhood and adolescent (pediatric) cancer diagnosis stage and survival have been reported. However, a key limitation of prior studies is the assessment of health insurance at a single time point. To evaluate Medicaid-associated disparities more robustly, we used Surveillance, Epidemiology, and End Results (SEER)-Medicaid linked data to examine diagnosis stage and survival disparities in those (i) Medicaid-enrolled and (ii) with discontinuous and continuous Medicaid enrollment. METHODS: SEER-Medicaid linked data from 2006 to 2013 were obtained on cases diagnosed from 0 to 19 years. Medicaid enrollment was classified as enrolled versus not enrolled, with further classifications as continuous when enrolled 6 months before through 6 months after diagnosis, and discontinuous when not enrolled continuously for this period. We used multinomial logistic and Cox proportional hazards regression models to determine associations between enrollment measures, diagnosis stage, and cancer death adjusted for covariates. RESULTS: Among 21,502 cases, a higher odds of distant stage diagnoses were observed in association with Medicaid enrollment (odds ratio [OR] = 1.56, 95% confidence interval [CI]: 1.48-1.65), with the highest odds for discontinuous enrollment (OR = 2.0, 95% CI: 1.86-2.15). Among 30,654 cases, any Medicaid enrollment, continuous enrollment, and discontinuous enrollment were associated with 1.68 (95% CI: 1.35-2.10), 1.66 (95% CI: 1.35-2.05), and 1.89 (95% CI: 1.54-2.33) times higher hazards of cancer death versus no enrollment, respectively. CONCLUSIONS: Medicaid enrollment, particularly discontinuous enrollment, is associated with a higher  distant stage diagnosis odds and risk of death. This study supports the critical need for consistent health insurance coverage in children and adolescents.

Impact of COVID-19 pandemic on breast cancer screening in a large midwestern United States academic medical center.

BACKGROUND: Access to breast screening mammogram services decreased during the COVID-19 pandemic. Our objectives were to estimate: 1) the COVID-19 affected period, 2) the proportion of pandemic-associated missed or delayed screening encounters, and 3) pandemic-associated patient attrition in screening encounters overall and by sociodemographic subgroup. METHODS: We included screening mammogram encounter EPIC data from 1-1-2019 to 12-31-2022 for females ≥40 years old. We used Bayesian State Space models to describe weekly screening mammogram counts, modeling an interruption that phased in and out between 3-1-2020 and 9-1-2020. We used the posterior predictive distribution to model differences between a predicted, uninterrupted process and the observed screening mammogram counts. We estimated associations between race/ethnicity and age group and return screening mammogram encounters during the pandemic among those with 2019 encounters using logistic regression. RESULTS: Our analysis modeling weekly screening mammogram counts included 231,385 encounters (n = 127,621 women). Model-estimated screening mammograms dropped by >98% between 03-15-2020 and 05-24-2020 followed by a return to pre-pandemic levels or higher with similar results by race/ethnicity and age group. Among 79,257 women, non-Hispanic (NH) Asians, NH Blacks, and Hispanics had significantly (p < .05) lower odds of screening encounter returns during 2020-2022 vs. NH Whites with odds ratios (ORs) from 0.70 to 0.91. Among 79,983 women, those 60-69 had significantly higher odds of any return screening encounter during 2020-2022 (OR = 1.28), while those ≥80 and 40-49 had significantly lower odds (ORs 0.77, 0.45) than those 50-59 years old. A sensitivity analysis suggested a possible pre-existing pattern. CONCLUSIONS: These data suggest a short-term pandemic effect on screening mammograms of ~2 months with no evidence of disparities. However, we observed racial/ethnic disparities in screening mammogram returns during the pandemic that may be at least partially pre-existing. These results may inform future pandemic planning and continued efforts to eliminate mammogram screening disparities.

Multivitamin Use and Mortality Risk in 3 Prospective US Cohorts.

Importance: One in 3 US adults uses multivitamins (MV), with a primary motivation being disease prevention. In 2022, the US Preventive Services Task Force reviewed data on MV supplementation and mortality from randomized clinical trials and found insufficient evidence for determining benefits or harms owing, in part, to limited follow-up time and external validity. Objective: To estimate the association of MV use with mortality risk, accounting for confounding by healthy lifestyle and reverse causation whereby individuals in poor health initiate MV use. Design, Setting, and Participants: This cohort study used data from 3 prospective cohort studies in the US, each with baseline MV use (assessed from 1993 to 2001), and follow-up MV use (assessed from 1998 to 2004), extended duration of follow-up up to 27 years, and extensive characterization of potential confounders. Participants were adults, without a history of cancer or other chronic diseases, who participated in National Institutes of Health-AARP Diet and Health Study (327 732 participants); Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (42 732 participants); or Agricultural Health Study (19 660 participants). Data were analyzed from June 2022 to April 2024. Exposure: Self-reported MV use. Main Outcomes and Measures: The main outcome was mortality. Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% CIs. Results: Among 390 124 participants (median [IQR] age, 61.5 [56.7-66.0] years; 216 202 [55.4%] male), 164 762 deaths occurred during follow-up; 159 692 participants (40.9%) were never smokers, and 157 319 participants (40.3%) were college educated. Among daily MV users, 49.3% and 42.0% were female and college educated, compared with 39.3% and 37.9% among nonusers, respectively. In contrast, 11.0% of daily users, compared with 13.0% of nonusers, were current smokers. MV use was not associated with lower all-cause mortality risk in the first (multivariable-adjusted HR, 1.04; 95% CI, 1.02-1.07) or second (multivariable-adjusted HR, 1.04; 95% CI, 0.99-1.08) halves of follow-up. HRs were similar for major causes of death and time-varying analyses. Conclusions and Relevance: In this cohort study of US adults, MV use was not associated with a mortality benefit. Still, many US adults report using MV to maintain or improve health.