Economic and clinical impact of a novel, light-based, at-home antiviral treatment on mild-to-moderate COVID-19.

OBJECTIVES: Antiviral treatments for early intervention in patients with mild-to-moderate COVID-19 are needed as a complement to vaccination. We sought to estimate the impact on COVID-19 cases, deaths, and direct healthcare costs over 12 months following introduction of a novel, antiviral treatment, RD-X19, a light-based, at-home intervention designed for the treatment of mild-to-moderate COVID-19 infection. METHODS: A time-dependent, state transition (semi-Markov) cohort model was developed to simulate infection progression in individuals with COVID-19 in 3 US states with varying levels of vaccine uptake (Alabama, North Carolina, and Massachusetts) and at the national level between 1 June 2020 and 31 May 2021. The hypothetical cohort of patients entering the model progressed through subsequent health states after infection. Costs were assigned to each health state. Number of infections/vaccinations per day were incorporated into the model. Simulations were run to estimate outcomes (cases by severity, deaths, and direct healthcare costs) at various levels of adoption of RD-X19 (5%, 10%, 25%) in eligible infected individuals at the state and national levels and across three levels of clinical benefit based on the results from an early feasibility study of RD-X19. The clinical benefit reflects a decline in the duration of symptomatic disease by 1.2, 2.4 (base case), and 3.6 days. RESULTS: In the base case analysis with 10% adoption, simulated infections/deaths/direct healthcare costs were reduced by 10,059/275/$69 million in Alabama, 21,092/545/$135 million in North Carolina, and 16,670/415/$102 million in Massachusetts over 12 months. At the national level, 10% adoption reduced total infections/deaths/direct healthcare costs by 686,722/17,748/$4.41 billion. CONCLUSION: At-home, antiviral treatment with RD-X19 or other interventions with similar efficacy that decrease both symptomatic days and transmission probabilities can be used in concert with vaccines to reduce COVID-19 cases, deaths, and direct healthcare costs.

Real-world incidence and cost of pneumonitis post-chemoradiotherapy for Stage III non-small-cell lung cancer.

Aim: To estimate the real-world incidence and timing of radiation pneumonitis following chemoradiotherapy for Stage III non-small-cell lung cancer and compare costs between patients with and without radiation pneumonitis. Methods: Retrospective analysis using the Symphony Health Integrated Dataverse. Results: Pneumonitis incidence was 12.4% with a 177-day mean time to onset. Patients with versus without pneumonitis were more frequently admitted to the hospital (33.8 vs 19.2%, p < 0.0001) and seen in the emergency room (51.9 vs 35.8%, p < 0.0001) and had higher mean total healthcare costs (US$4251 vs US$3969 per-patient per-month; p = 0.0163). Conclusion: Although pneumonitis significantly increased healthcare resource utilization and costs in chemoradiotherapy-treated Stage III non-small-cell lung cancer, the per-patient per-month differential was <10%. Such financial assessments are critical for cost-benefit analysis.

Real-world outcomes among patients with early rapidly progressive rheumatoid arthritis.

OBJECTIVES: To characterize treatment patterns, healthcare resource utilization (HRU), and disease activity among patients with early rapidly progressive rheumatoid arthritis (eRPRA) in the United States when treated with a first-line biologic disease-modifying antirheumatic drug (bDMARD) tumor necrosis factor-α (TNF) inhibitor or first-line abatacept. STUDY DESIGN: Observational, multicenter, retrospective, longitudinal, medical records-based, cohort study. METHODS: Patients with eRPRA were identified by anti-citrullinated protein antibody positivity, 28-joint Disease Activity Score-C-reactive protein of 3.2 or greater, symptomatic synovitis in 2 or more joints for at least 8 weeks prior to the index date, and onset of symptoms within 2 years or less of the index date. Patients received abatacept or a TNF inhibitor as first-line treatment. Patient characteristics, treatment patterns, HRU, and disease activity following bDMARD initiation were compared across the 2 groups. Odds ratios (ORs) of HRU in the first 6 months of bDMARD treatment were estimated using multivariable logistic regression to adjust for patient mix. RESULTS: There were 60 patients treated with abatacept and 192 treated with a TNF inhibitor in the first line. Those treated with first-line abatacept had lower adjusted odds of hospitalization (OR, 0.42; 95% CI, 0.18-0.95), emergency department (ED) visits (OR, 0.39; 95% CI, 0.16-0.93), and magnetic resonance imaging (MRI) (OR, 0.45; 95% CI, 0.21-0.97) than those treated with a first-line TNF inhibitor (all P <.05). Adjusted odds of achieving low disease activity as measured by clinical disease activity index within 100 days of bDMARD initiation favored first-line abatacept versus a first-line TNF inhibitor (OR, 4.37; 95% CI, 1.34-13.94; P = .01). CONCLUSIONS: Adjusting for disease severity, patients with eRPRA who were treated with first-line abatacept were less likely to have hospitalizations, ED visits, and MRI use during the first 6 months of bDMARD treatment and more likely to achieve low disease activity within 100 days of bDMARD start compared with those who received a first-line TNF inhibitor.

The gamification of healthcare: emergence of the digital practitioner?

The application of behavioral economics principles in healthcare has been transformed through the use of technology and recently the advent of video gaming concepts, or gamification, to modify patient behaviors. The role of practitioners in the era of gamification has not been well established, but it is possible that the need has arisen for development of clinical practice guidelines and the "digital practitioner": one who specializes in healthcare apps, accepts referrals from other practitioners, identifies the best programs to meet individual patient needs, and consults to assess whether game apps might improve clinical outcomes.

Understanding total cost of care in advanced non-small cell lung cancer pre- and postapproval of immuno-oncology therapies.

This study assesses resource utilization and total direct medical cost among patients in the United States starting systemic antineoplastic therapy (ST) pre- and postapproval of immuno-oncology (IO) agents for advanced non-small cell lung cancer. Adults diagnosed with lung cancer initiating first-line ST within 6 months of diagnosis during either the pre- (March 2013-March 2014) or post-IO (March 2015-December 2016) approval period were identified in a US-based multipayer administrative claims database. Excluded were patients with small cell lung cancer, secondary malignancies, less than 1 month follow-up, and those in clinical trials. Total cost (TC) was calculated from the date of initiation of treatment until the last follow-up. Propensity score matching was adjusted for differences in patient cohorts, including follow-up time. Binary multiple logistic regression assessed predictors of high TC (above mean) pre- and post IO. Mean TC per patient was higher pre-IO versus post IO in both unmatched ($165,548 vs $95,715) and matched analyses($129,977 vs $113,177). Hospitalization and emergency department (ED) visit rates were higher pre-IO versus postapproval. Predictors of high TC pre-IO included use of first-line combination therapy, radiation, targeted therapy, maintenance therapy, biomarker testing, more comorbidities, longer follow-up, first-line hospitalization, first-line cost above mean, and age 65 years and older. In the post-IO period, additional predictors of higher TC included use of IO, having mild liver disease or hemiplegia, and longer time to ST initiation. Early data show lower ED visit and hospitalization rates and associated lower TC in the post-IO era.

Value-Based Calculators in Cancer: Current State and Challenges.

The ASCO Value Framework, National Comprehensive Cancer Network Evidence Blocks, Memorial Sloan Kettering's DrugAbacus, and Institute for Clinical and Economic Review incremental cost-effectiveness ratio calculator are value-based methodologies that attempt to address the disproportionate increase in cancer care spending. These calculators can be used as an initial step for discussing cost versus value, but they fall short in recognizing the importance of the cancer journey because they do not fully factor the patient's perspective or the global cost of care. This timely review highlights both the limitations and the advantages of each value calculator and suggests opportunities for refinement. Practicing oncologists, payers, and manufacturers should be familiar with value-based calculators because the role these tools play in cost containment is likely to be hotly debated.

Implementation of cancer clinical care pathways: a successful model of collaboration between payers and providers.

Despite rising medical costs within the US healthcare system, quality and outcomes are not improving. Without significant policy reform, the cost-quality imbalance will reach unsustainable proportions in the foreseeable future. The rising cost of healthcare in part results from an expanding aging population with an increasing number of life-threatening diseases. This is further compounded by a growing arsenal of high-cost therapies. In no medical specialty is this more apparent than in the area of oncology. Numerous attempts to reduce costs have been attempted, often with limited benefit and brief duration. Because physicians directly or indirectly control or influence the majority of medical care costs, physician behavioral changes must occur to bend the healthcare cost curve in a sustainable fashion. Experts within academia, health policy, and business agree that a significant paradigm change in stakeholder collaboration will be necessary to accomplish behavioral change. Such a collaboration has been pioneered by Blue Cross Blue Shield of Michigan and Physician Resource Management, a highly specialized oncology healthcare consulting firm with developmental and ongoing technical, analytic, and consultative support from Cardinal Health Specialty Solutions, a division of Cardinal Health. We describe a successful statewide collaboration between payers and providers to create a cancer clinical care pathways program. We show that aligned stakeholder incentives can drive high levels of provider participation and compliance in the pathways that lead to physician behavioral changes. In addition, claims-based data can be collected, analyzed, and used to create and maintain such a program.