1
|
Mitchell AP, Persaud S, Mishra Meza A, Fuchs HE, De P, Tabatabai S, Chakraborty N, Dey P, Trivedi NU, Mailankody S, Blinder V, Green A, Epstein AS, Daly B, Roeker L, Bach PB, Gönen M. Quality of Treatment Selection for Medicare Beneficiaries With Cancer. J Clin Oncol 2024:JCO2400459. [PMID: 39393041 DOI: 10.1200/jco.24.00459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Revised: 09/06/2024] [Accepted: 09/13/2024] [Indexed: 10/13/2024] Open
Abstract
PURPOSE The Medicare part D Low-Income Subsidy (LIS) improves access to oral cancer drugs, but provides no assistance for clinician-administered/part B drugs. This analysis assessed the association between LIS participation and receipt of optimal cancer treatment. METHODS We investigated initial systemic therapy using SEER-Medicare data (2015-2017) and National Comprehensive Cancer Network (NCCN) Evidence Blocks (EB) as the standard for treatment recommendations. We included cancer clinical scenarios wherein (1) ≥one treatment was optimal (higher efficacy and safety scores) versus other treatments; (2) identifiable in SEER-Medicare (eg, not defined by clinical data unavailable in registry data or claims); and (3) both EB and ASCO Value Framework agreed regarding optimal treatment. We fit logistic regression models to assess the association between receipt of systemic therapy (v no therapy) and patient and provider characteristics. Contingent on receipt of treatment, we modeled the likelihood of receiving a treatment ranked (by EB scores) within the highest or lowest quartile for that cancer type. RESULTS Nine thousand two hundred and ninety patients were included across 11 clinical scenarios. Fifty-seven percent (5,336) of patients received any systemic therapy and 43% (3,954) received no systemic therapy. Compared with non-LIS participants, LIS participants were less likely to receive any systemic therapy versus no systemic therapy (odds ratio, 0.64 [95% CI, 0.57 to 0.72]). Contingent on receiving systemic therapy, LIS participants received treatment ranked within the worst quartile 24.8% of the time, compared with 21.9% of non-LIS patients (adjusted prevalence difference, 4.3% [95% CI, 0.5 to 8.2]). CONCLUSION LIS participants were less likely to receive systemic therapy at all and were more likely to receive treatments that receive low NCCN EB scores.
Collapse
Affiliation(s)
- Aaron P Mitchell
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Sonia Persaud
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Akriti Mishra Meza
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Hannah E Fuchs
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Prabal De
- Department of Economics and Business, City College of New York, New York, NY
| | - Sara Tabatabai
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Nirjhar Chakraborty
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Pranam Dey
- Yale University School of Medicine, New Haven, CT
| | | | - Sham Mailankody
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Victoria Blinder
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Angela Green
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Andrew S Epstein
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Bobby Daly
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Lindsey Roeker
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Mithat Gönen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| |
Collapse
|
2
|
Cerisoli F, Ali F, Bereczky T, Bolaños N, Bullinger L, Dhanasiri S, Gallagher J, Pérez SG, Geissler J, Guillevic Y, Harrison K, Naoum A, Portulano C, Rodríguez Vicente AE, Schulze-Rath R, Gómez GY, Sanz G, Hernández Rivas JM. Building a Healthcare Alliance for Resourceful Medicine Offensive Against Neoplasms in Hematology Added Value Framework for Hematologic Malignancies: A Comparative Analysis of Existing Tools. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2022; 25:1760-1767. [PMID: 35595634 DOI: 10.1016/j.jval.2022.04.1729] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 02/18/2022] [Accepted: 04/15/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVES The Innovative Medicines Initiative-funded, multistakeholders project Healthcare Alliance for Resourceful Medicine Offensive Against Neoplasms in Hematology (HARMONY) created a task force involving patient organizations, medical associations, pharmaceutical companies, and health technology assessment/regulator agencies' representatives to evaluate the suitability of previously established value frameworks (VFs) for assessing the clinical and societal impact of new interventions for hematologic malignancies (HMs). METHODS Since the HARMONY stakeholders identified the inclusion of patients' points of view on evaluating VFs as a priority, surveys were conducted with the patient organizations active in HMs and part of the HARMONY network, together with key opinion leaders, pharmaceutical companies, and regulators, to establish which outcomes were important for each HM. Next, to evaluate VFs against the sources of information taken into account (randomized clinical trials, registries, real-world data), structured questionnaires were created and filled by HARMONY health professionals to specify preferred data sources per malignancy. Finally, a framework evaluation module was built to analyze existing clinical VFs (American Society of Clinical Oncology, European Society of Medical Oncology, Magnitude of Clinical Benefit Scale, Institut für Qualität und Wirtschaftlichkeit im Gesundheitswesen, Institute for Clinical and Economic Review, National Comprehensive Cancer Network Evidence Blocks, and patient-perspective VF). RESULTS The comparative analysis describes challenges and opportunities for the use of each framework in the context of HMs and drafts possible lines of action for creating or integrating a more specific, patient-focused clinical VF for HMs. CONCLUSIONS None of the frameworks meets the HARMONY goals for a tool that applies to HMs and assesses in a transparent, reproducible, and systematic way the therapeutic value of innovative health technologies versus available alternatives, taking a patient-centered approach and using real-world evidence.
Collapse
Affiliation(s)
| | - Farzad Ali
- Patient Health Impact, Pfizer, Montreal, Quebec, Canada
| | | | - Natacha Bolaños
- Regional Management Europe, Lymphoma Coalition, Madrid, Spain
| | - Lars Bullinger
- Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt, Berlin, Germany
| | - Sujith Dhanasiri
- Global Medical Affairs, Celgene International - A Bristol Myers Squibb Company, Boudry, Switzerland
| | | | - Sonia García Pérez
- Department of Medicines for Human Use, Spanish Agency of Medicines and Medical Devices (AEMPS), Madrid, Spain
| | | | - Yann Guillevic
- Global Medical Affairs, Celgene International - A Bristol Myers Squibb Company, Boudry, Switzerland
| | - Kathryn Harrison
- Science Policy and Research Programme, National Institute for Health and Care Excellence (NICE), Manchester, England, UK
| | | | | | | | - Renate Schulze-Rath
- Medical Affairs & Pharmacovigilance, Pharmaceuticals, Bayer AG, Berlin, Germany
| | - Gabriela Yumi Gómez
- Agencia Española de Medicamentos y Productos Sanitarios (AEMPS), Madrid, Spain
| | - Guillermo Sanz
- CIBERONC, Instituto de Salud Carlos III, Madrid, Spain; Hospital Universitari i Politècnic la Fe, Valencia, Spain
| | - Jesús María Hernández Rivas
- Servicio de Hematología, Instituto de Investigación Biomédica de Salamanca (IBSAL), Departamento de Medicina, Hospital Universitario de Salamanca, Universidad de Salamanca, Salamanca, Spain.
| |
Collapse
|
3
|
Neumann PJ. Toward Better Data Dashboards for US Drug Value Assessments. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2021; 24:1484-1489. [PMID: 34593172 DOI: 10.1016/j.jval.2021.04.1287] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 04/19/2021] [Accepted: 04/23/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVES To explore the use of data dashboards to convey information about a drug's value, and reduce the need to collapse dimensions of value to a single measure. METHODS Review of the literature on US Drug Value Assessment Frameworks, and discussion of the value of data dashboards to improve the manner in which information on value is displayed. RESULTS The incremental cost per quality-adjusted life-year ratio is a useful starting point for conversation about a drug's value, but it cannot reflect all of the elements of value about which different audiences care deeply. Data dashboards for drug value assessments can draw from other contexts. Decision makers should be presented with well-designed value dashboards containing various metrics, including conventional cost per quality-adjusted life-year ratios as well as measures of a drug's impact on clinical and patient-centric outcomes, and on budgetary and distributional consequences, to convey a drug's value along different dimensions. CONCLUSIONS The advent of US drug value frameworks in health care has forced a concomitant effort to develop appropriate information displays. Researchers should formally test different formats and elements.
Collapse
Affiliation(s)
- Peter J Neumann
- Center for the Evaluation of Value and Risk in Health, Tufts Medical Center, Boston, MA, USA.
| |
Collapse
|
4
|
Gunn AH, Sorenson C, Greenup RA. Navigating the high costs of cancer care: opportunities for patient engagement. Future Oncol 2021; 17:3729-3742. [PMID: 34296620 DOI: 10.2217/fon-2021-0341] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Over the past decade, the financial burden of cancer care on patients and their families has garnered increased attention. Many of the potential solutions have focused on system-level interventions such as adopting value-based payment models and negotiating drug prices; less consideration has been given to actions at the patient level to address cancer care costs. We argue that it is imperative to develop and support patient-level strategies that engage patients and consider their preferences, values and individual circumstances. Opportunities to meet these aims and improve the economic experience of patients in oncology are discussed, including: shared decision-making and communication, financial navigation and treatment planning, digital technology and alternative care pathways, and value-based insurance design.
Collapse
Affiliation(s)
- Alexander H Gunn
- School of Medicine, Duke University, Durham, NC 27710, USA.,Duke-Margolis Center for Health Policy, Duke University, Durham, NC 27710, USA
| | - Corinna Sorenson
- Duke-Margolis Center for Health Policy, Duke University, Durham, NC 27710, USA.,Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC 27708, USA.,Sanford School of Public Policy, Duke University, Durham, NC 27710, USA
| | - Rachel A Greenup
- Department of Surgery, School of Medicine, Yale University, New Haven, CT 06510, USA.,Smilow Cancer Hospital, Yale University, New Haven, CT 06510, USA.,Yale Cancer Center, Yale University, New Haven, CT 06510, USA
| |
Collapse
|
5
|
McQueen RB. What Value Does the NCCN Affordability Rating Really Provide to Patients, Providers, and Society? PHARMACOECONOMICS 2020; 38:733-735. [PMID: 32410078 DOI: 10.1007/s40273-020-00924-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Affiliation(s)
- R Brett McQueen
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Mail Stop C238, 12850 E. Montview Blvd, Aurora, CO, 80045, USA.
| |
Collapse
|
6
|
Tran AA, Prasad V. Replacing the NCCN's Blocks with Wheels: How Should Consideration of Societal Spending be Incorporated into Oncology Practice? PHARMACOECONOMICS 2020; 38:729-731. [PMID: 32328981 DOI: 10.1007/s40273-020-00920-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Affiliation(s)
- Audrey A Tran
- Oregon Health and Science University School of Medicine, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA
- Division of Hematology Oncology, Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA
| | - Vinay Prasad
- Oregon Health and Science University School of Medicine, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA.
- Division of Hematology Oncology, Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA.
- Department of Public Health and Preventive Medicine, Oregon Health and Science University, Portland, OR, USA.
| |
Collapse
|