Gaining Control of Combination Cancer Treatment Risk by Incorporating Cost and Value Data into the Drug Selection Process at the Point-of-Care
Nicholas, R. L.
Show abstract
The use of combination therapies*, as well as FDA-approved drugs for off-label indications, to treat advanced cancer, is widespread. While much is known about their clinical effectiveness, there exists no examination of the relative cost of novel multidrug combinations vs. traditional available therapy options, or study as to how knowledge about comparative therapy costs at the point-of-care can be leveraged by doctors, health systems, and payers. We found that: O_LIcombination multidrug cancer regimens may be less costly than monotherapies or other standard options; C_LIO_LInovel, multidrug combinations are often better financial values than monotherapies or other standard options; C_LIO_LIhaving treatment cost and value data, at the point of care, enables the prompt selection of more cost-effective medications and the avoidance of expensive low-value therapies that are financially wasteful. C_LI We conclude that the effectiveness of value-based purchasing initiatives may be amplified if physicians and payers use comparative treatment cost/value data to enhance their cancer drug-selection decision making. * Including combinations of immunotherapies, chemotherapies, targeted drugs with distinct mechanisms of action, etc. SO_SCPLOWTUDYC_SCPLOW HO_SCPLOWIGHLIGHTSC_SCPLOWWhat Is The Current Knowledge On The Topic? {ballotcheck}The effectiveness of molecularly targeted multidrug therapies used to treat advanced cancer is well established; 1-4 that few clinicians are aware of the cost of the medications they prescribe, or which are more cost-effective, deliver a better return-on-investment or represent a financial value; 8 and, that it is intuitive to believe that a combination of multiple high-cost medications is more expensive than a single-drug or other standard therapy options. What Question Did This Study Address? {ballotcheck}Although studies on the clinical impact of multidrug cancer treatments abound, 1-4 there are no examinations of the relative cost or value of combination therapies vs. that of traditional monotherapies, or how knowledge of how this data can be used in practice. A systematic method to calculate, evaluate and compare the relative cost of mono-therapies, 2- and 3-drug combination cancer therapy options is presented for use by physicians, health systems and payers to better manage their oncology specialty pharmacy spend and drive better medical outcomes. 3 What Does This Study Add To Our Knowledge? {ballotcheck}We show that multidrug cancer therapies are not necessarily more costly than single-drug or other standard therapy options; and that furnishing physicians and payers with comparative treatment cost and value data to augment their complex medication selection decision making enables them to identify drugs that are a value, avoid those that are wasteful, and create better targeted novel combination cancer therapies that represent a value, which incorporates both clinical and financial aspects. How Might This Change Combination Therapy Drug Selection Or Value-Based Oncology Management? {ballotcheck}Clinicians have the tools, information, and data with which to confidently prescribe novel drug combinations that customize molecular targeting, and lower treatment costs. Payers now have a framework within which to drive value-based purchasing to gain control of their oncology specialty drug risk. Patients will benefit from more personalized, efficient and effective therapies and less financial toxicity (i.e., distress).
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- EFFECTIVENESS OF CASIRIVIMAB-IMDEVIMAB AND SOTROVIMAB MONOCLONAL ANTIBODY TREATMENT AMONG HIGH-RISK PATIENTS WITH SARS-CoV-2 INFECTION: A REAL-WORLD EXPERIENCE 90%
- Strict lockdown versus flexible social distance strategy for COVID-19 disease: a cost-effectiveness analysis 89%
- RNA expression classifiers from a model of breast epithelial cell organization to predict pathological complete response in triple negative breast cancer 88%
Similar papers in this journal
- Cost-effectiveness of real-world administration of chemotherapy and add-on Viscum album L. therapy compared to chemotherapy alone in the treatment of stage IV NSCLC patients 92%
- Reshaping the Landscape of Locoregional Treatments for Breast Cancer Liver Metastases: A novel, intratumoral, p21-targeted percutaneous therapy increases survival in BALB/c mice inoculated with 4T1 triple negative breast cancer cells in the liver. 91%
- Evaluation of deacetylase inhibition in metaplastic breast carcinoma using multiple derivations of preclinical models of a new patient-derived tumor 91%
Similar papers in this journal
- Emerging Therapies for COVID-19: the value of information from more clinical trials 92%
- Statistical Decision Properties of Imprecise Trials Assessing COVID-19 Drugs 90%
- New IPECAD open-source model framework for the health technology assessment of early Alzheimer’s disease treatment: development and use cases 86%
Similar papers in this journal
- Selumetinib in combination with dexamethasone for the treatment of relapsed/refractory RAS-pathway mutated paediatric and adult acute lymphoblastic leukaemia (SeluDex): study protocol for an international, parallel-group, dose-finding with expansion phase I/II trial 91%
- Reproducibility and transparency characteristics of oncology research evidence 91%
- Development and validation of multivariable machine learning algorithms to predict risk of cancer in symptomatic patients referred urgently from primary care 90%
Similar papers in this journal
- Clinical Benefits and Budget Impact of Lenzilumab plus Standard of Care Compared with Standard of Care Alone for the Treatment of Hospitalized Patients with COVID-19 in the United States from the Hospital Perspective 90%
- Comparison of healthcare resource use and cost between influenza and COVID-19 vaccine coadministration and influenza vaccination only 88%
- Modeling the Cost-Effectiveness of the Next-Generation COVID-19 mRNA-1283 Vaccine in the United States 88%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.