Trends in guideline-adherent chemoradiation therapy for locally advanced cervical cancer before and after the affordable care act.

OBJECTIVE: To assess trends in guideline-adherent chemoradiation therapy (GA-CRT) for locally advanced cervical cancer relative to Patient Protection and Affordable Care Act (ACA) implementation. METHODS: National Cancer Database patients treated with chemoradiation for locally advanced cervical cancer (FIGO 2018 Stage IB3-IVA) from 2004 to 2016 were included. GA-CRT was defined according to NCCN guidelines and included: 1) delivery of external beam radiation, 2) brachytherapy, and 3) chemotherapy, 4) no radical hysterectomy. Logistic regression was used to determine trends in GA-CRT relative to the ACA. Survival was also estimated using Kaplan-Meier analysis. RESULTS: 37,772 patients met inclusion criteria (Pre-ACA:16,169; Post-ACA:21,673). A total of 33,116 patients had squamous cell carcinoma and 4626 patients had other histologies. Forty-five percent of patients had lymph node-positive disease. A total of 14.6% of patients had Stage I disease, 41.8% had Stage II disease, 36.4% had Stage III disease, and 7.9% had Stage IVA disease. On multivariable analysis, medicare insurance (OR 0.91; 95%CI: 0.84-0.99 compared to commercial insurance), non-squamous histology (OR 0.83; 95%CI: 0.77-0.89 for adenocarcinoma) and increasing Charlson-Deyo score were associated with decreased odds of receiving GA care. Increasing T-stage was associated with greater receipt of GA-CRT. The percentage of the population that received guideline adherent care increased post-ACA (Pre-ACA 28%; Post-ACA 34%; p < 0.001). Adherence to treatment guidelines increased 2-year survival by 15% (GA 76%; Not GA 61%; p < 0.001). Increased 2-year survival was seen in the post-ACA cohort (Pre-ACA 62%; Post-ACA 69%; p < 0.001). CONCLUSIONS: Implementation of the ACA was associated with improved GA-CRT and survival in patients with locally advanced cervical cancer.

Assessment of Regional Variability in COVID-19 Outcomes Among Patients With Cancer in the United States.

Importance: The COVID-19 pandemic has had a distinct spatiotemporal pattern in the United States. Patients with cancer are at higher risk of severe complications from COVID-19, but it is not well known whether COVID-19 outcomes in this patient population were associated with geography. Objective: To quantify spatiotemporal variation in COVID-19 outcomes among patients with cancer. Design, Setting, and Participants: This registry-based retrospective cohort study included patients with a historical diagnosis of invasive malignant neoplasm and laboratory-confirmed SARS-CoV-2 infection between March and November 2020. Data were collected from cancer care delivery centers in the United States. Exposures: Patient residence was categorized into 9 US census divisions. Cancer center characteristics included academic or community classification, rural-urban continuum code (RUCC), and social vulnerability index. Main Outcomes and Measures: The primary outcome was 30-day all-cause mortality. The secondary composite outcome consisted of receipt of mechanical ventilation, intensive care unit admission, and all-cause death. Multilevel mixed-effects models estimated associations of center-level and census division-level exposures with outcomes after adjustment for patient-level risk factors and quantified variation in adjusted outcomes across centers, census divisions, and calendar time. Results: Data for 4749 patients (median [IQR] age, 66 [56-76] years; 2439 [51.4%] female individuals, 1079 [22.7%] non-Hispanic Black individuals, and 690 [14.5%] Hispanic individuals) were reported from 83 centers in the Northeast (1564 patients [32.9%]), Midwest (1638 [34.5%]), South (894 [18.8%]), and West (653 [13.8%]). After adjustment for patient characteristics, including month of COVID-19 diagnosis, estimated 30-day mortality rates ranged from 5.2% to 26.6% across centers. Patients from centers located in metropolitan areas with population less than 250 000 (RUCC 3) had lower odds of 30-day mortality compared with patients from centers in metropolitan areas with population at least 1 million (RUCC 1) (adjusted odds ratio [aOR], 0.31; 95% CI, 0.11-0.84). The type of center was not significantly associated with primary or secondary outcomes. There were no statistically significant differences in outcome rates across the 9 census divisions, but adjusted mortality rates significantly improved over time (eg, September to November vs March to May: aOR, 0.32; 95% CI, 0.17-0.58). Conclusions and Relevance: In this registry-based cohort study, significant differences in COVID-19 outcomes across US census divisions were not observed. However, substantial heterogeneity in COVID-19 outcomes across cancer care delivery centers was found. Attention to implementing standardized guidelines for the care of patients with cancer and COVID-19 could improve outcomes for these vulnerable patients.

Insurance Approval for Proton Beam Therapy and its Impact on Delays in Treatment.

PURPOSE: Prior authorization (PA) has been widely implemented for proton beam therapy (PBT). We sought to determine the association between PA determination and patient characteristics, practice guidelines, and potential treatment delays. METHODS AND MATERIALS: A single-institution retrospective analysis was performed of all patients considered for PBT between 2015 and 2018 at a National Cancer Institute-designated Comprehensive Cancer Center. Differences in treatment start times and denial rates over time were compared, and multivariable logistic regression was used to identify predictors of initial denial. RESULTS: A total of 444 patients were considered for PBT, including 396 adult and 48 pediatric patients. The American Society for Radiation Oncology model policy supported PBT coverage for 77% of the cohort. Of adult patients requiring PA, 64% were initially denied and 32% remained denied after appeal. In patients considered for reirradiation or randomized phase 3 trial enrollment, initial denial rates were 57% and 64%, respectively. Insurance coverage was not related to diagnosis, reirradiation, trial enrollment, or the American Society for Radiation Oncology model policy guidelines, but it was related to insurance category on multivariable analysis (P < .001). Over a 3-year timespan, initial denial rates increased from 55% to 74% (P = .034). PA delayed treatment start by an average of 3 weeks (and up to 4 months) for those requiring appeal (P < .001) and resulted in 19% of denied patients abandoning radiation treatment altogether. Of pediatric patients, 9% were initially denied, all of whom were approved after appeal, and PA requirement did not delay treatment start (P = .47). CONCLUSIONS: PA requirements in adults represent a significant burden in initiating PBT and cause significant delays in patient care. Insurance approval is arbitrary and has become more restrictive over time, discordant with national clinical practice guidelines. Payors and providers should seek to streamline coverage policies in alignment with established guidelines to ensure appropriate and timely patient care.