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Tisdale RL, Cusick MM, Aluri KZ, Handley TJ, Joyner AKC, Salomon JA, Chertow GM, Goldhaber-Fiebert JD, Owens DK. Cost-Effectiveness of Dapagliflozin for Non-diabetic Chronic Kidney Disease. J Gen Intern Med 2022; 37:3380-3387. [PMID: 35137296 PMCID: PMC9551016 DOI: 10.1007/s11606-021-07311-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 12/01/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND In the USA, chronic kidney disease (CKD) affects 1 in 7 adults and costs $100 billion annually. The DAPA-CKD trial found dapagliflozin, a sodium glucose co-transporter 2 (SGLT2) inhibitor, to be effective in reducing CKD progression and mortality in patients with diabetic and non-diabetic CKD. Currently, SGLT2 inhibitors are not considered standard of care for patients with non-diabetic CKD. OBJECTIVE Determine the cost-effectiveness of adding dapagliflozin to standard management of patients with non-diabetic CKD. DESIGN Markov model with lifetime time horizon and US healthcare sector perspective. PATIENTS Patients with non-diabetic CKD INTERVENTION: Dapagliflozin plus standard care versus standard care only. MAIN MEASURES Quality-adjusted life years (QALYs), costs, and incremental cost-effectiveness ratios (ICERs), all discounted at 3% annually; total incidence of kidney failure on kidney replacement therapy; average years on kidney replacement therapy. KEY RESULTS Adding dapagliflozin to standard care improved life expectancy by 2 years, increased discounted QALYS (from 6.75 to 8.06), and reduced the total incidence of kidney failure on kidney replacement therapy (KRT) (from 17.4 to 11.0%) and average years on KRT (from 0.77 to 0.43) over the lifetime of the cohort. Dapagliflozin plus standard care was more effective than standard care alone while increasing lifetime costs (from $245,900 to $324,8900, or $60,000 per QALY gained). Results were robust to variations in assumptions about dapagliflozin's efficacy over time and by CKD stage, added costs of kidney replacement therapy, and expected population annual CKD progression rates and sensitive to the cost of dapagliflozin. The net 1-year budgetary implication of treating all US patients with non-diabetic CKD could be up to $21 billion. CONCLUSIONS Dapagliflozin improved life expectancy and reduced progression of CKD, the proportion of patients requiring kidney replacement therapy, and time on kidney replacement therapy in patients with non-diabetic CKD. Use of dapagliflozin meets conventional criteria for cost-effectiveness.
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Affiliation(s)
- Rebecca L Tisdale
- VA Palo Alto Health Care System (152-MPD), Health Services Research and Development (HSR&D), Center for Innovation to Implementation (Ci2i), 795 Willow Road, Building 324, Menlo Park, CA, 94025, USA.
- Department of Health Policy, School of Medicine, and Center for Health Policy, Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA, USA.
| | - Marika M Cusick
- Department of Health Policy, School of Medicine, and Center for Health Policy, Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA, USA
| | - Kelly Zhang Aluri
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Stanford University School of Medicine, Stanford, CA, USA
| | - Thomas J Handley
- Department of Health Policy, School of Medicine, and Center for Health Policy, Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA, USA
- Department of Surgery and Cancer, Imperial College London, London, UK
- Stanford-Surgery Policy Improvement Research & Education (S-SPIRE) Center, Stanford, CA, USA
| | | | - Joshua A Salomon
- Department of Health Policy, School of Medicine, and Center for Health Policy, Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA, USA
| | - Glenn M Chertow
- Department of Health Policy, School of Medicine, and Center for Health Policy, Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA, USA
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Jeremy D Goldhaber-Fiebert
- Department of Health Policy, School of Medicine, and Center for Health Policy, Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA, USA
| | - Douglas K Owens
- Department of Health Policy, School of Medicine, and Center for Health Policy, Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA, USA
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Mattingly TJ, Slejko JF, Onukwugha E, Perfetto EM, Kottilil S, Mullins CD. Value in Hepatitis C Virus Treatment: A Patient-Centered Cost-Effectiveness Analysis. PHARMACOECONOMICS 2020; 38:233-242. [PMID: 31788751 PMCID: PMC7081653 DOI: 10.1007/s40273-019-00864-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
BACKGROUND Innovations in hepatitis C virus (HCV) therapy included in traditional comparative evaluations focus on sustained virologic response (SVR) without addressing challenges patients report beyond virologic cure. This study aims to evaluate the cost-effectiveness of HCV drug therapy with a patient-centered approach. METHODS An individual-based Markov model was constructed using guidance from a stakeholder advisory board (SAB), a patient Delphi panel, and published literature to evaluate direct-acting antivirals (DAAs) compared to no treatment. The United States (US) health sector and societal perspectives were considered for 10- and 20-year time horizons. Inputs for treatment costs and effectiveness reflect a generic regimen. Indirect costs used for the societal model included estimates from self-reported productivity in a matched-control sample. Beyond the traditional quality-adjusted life-year (QALY) health outcome, this study included two novel measures developed from the Delphi panel and SAB: infected life-years and workdays missed. All costs were measured in 2018 US dollars. RESULTS Health sector costs and QALYs were higher in the treatment group in both 10- and 20-year models. Total infected life-years and workdays missed were reduced in the treatment group for both models. When costs of absenteeism, presenteeism, and patient/caregiver time were included, the DAA intervention was cost-saving at both 10 and 20 years. Health sector results were sensitive to drug costs and utility estimates for post-SVR health states. Societal results were sensitive to presenteeism estimates and drug costs. CONCLUSION Treatment was cost-effective from a health sector perspective and cost-saving when including non-health costs such as patient/caregiver time and productivity.
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Affiliation(s)
- T Joseph Mattingly
- Department of Pharmacy Practice and Science, University of Maryland School of Pharmacy, 20 North Pine Street, N415, Baltimore, MD, 21201, USA.
| | - Julia F Slejko
- Department of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore, MD, USA
| | - Eberechukwu Onukwugha
- Department of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore, MD, USA
| | - Eleanor M Perfetto
- Department of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore, MD, USA
- National Health Council, Washington, DC, USA
| | | | - C Daniel Mullins
- Department of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore, MD, USA
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Lin JK, Muffly LS, Spinner MA, Barnes JI, Owens DK, Goldhaber-Fiebert JD. Cost Effectiveness of Chimeric Antigen Receptor T-Cell Therapy in Multiply Relapsed or Refractory Adult Large B-Cell Lymphoma. J Clin Oncol 2019; 37:2105-2119. [PMID: 31157579 DOI: 10.1200/jco.18.02079] [Citation(s) in RCA: 141] [Impact Index Per Article: 28.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
PURPOSE Two anti-CD19 chimeric antigen receptor T-cell (CAR-T) therapies are approved for diffuse large B-cell lymphoma, axicabtagene ciloleucel (axi-cel) and tisagenlecleucel; each costs $373,000. We evaluated their cost effectiveness. METHODS We used a decision analytic Markov model informed by recent multicenter, single-arm trials to evaluate axi-cel and tisagenlecleucel in multiply relapsed/refractory, adult, diffuse large B-cell lymphoma from a US health payer perspective over a lifetime horizon. Under a range of plausible long-term effectiveness assumptions, each therapy was compared with salvage chemoimmunotherapy regimens and stem-cell transplantation. Main outcomes were undiscounted life years, discounted lifetime costs, discounted quality-adjusted life years (QALYs), and incremental cost-effectiveness ratio (3% annual discount rate). Sensitivity analyses explored uncertainty. RESULTS In an optimistic scenario, assuming a 40% 5-year progression-free survival (PFS), axi-cel increased life expectancy by 8.2 years at $129,000/QALY gained (95% uncertainty interval, $90,000 to $219,000). At a 30% 5-year PFS, improvements in life expectancy were more modest (6.4 years) and expensive ($159,000/QALY gained [95% uncertainty interval, $105,000 to $284,000]). In an optimistic scenario, assuming a 35% 5-year PFS, tisagenlecleucel increased life expectancy by 4.6 years at $168,000/QALY gained (95% uncertainty interval, $105,000 to $414,000/QALY). At a 25% 5-year PFS, improvements in life expectancy were smaller (3.4 years) and more expensive ($223,000/QALY gained [95% uncertainty interval, $123,000 to $1,170,000/QALY]). Administering CAR-T to all indicated patients would increase US health care costs by approximately $10 billion over 5 years. Price reductions to $250,000 and $200,000, respectively, or payment only for initial complete response (at current prices) would allow axi-cel and tisagenlecleucel to cost less than $150,000/QALY, even at 25% PFS. CONCLUSION At 2018 prices, it is possible that both CAR-T therapies meet a less than $150,000/QALY threshold. This depends on long-term outcomes compared with chemoimmunotherapy and stem-cell transplantation, which are uncertain. Widespread adoption would substantially increase non-Hodgkin lymphoma health care costs. Price reductions or payment for initial response would improve cost effectiveness, even with modest long-term outcomes.
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Affiliation(s)
- John K Lin
- 1Veterans Affairs Palo Alto Health Care System, Palo Alto, CA.,2Stanford University, Stanford, CA
| | - Lori S Muffly
- 3Stanford University School of Medicine, Stanford, CA
| | | | - James I Barnes
- 1Veterans Affairs Palo Alto Health Care System, Palo Alto, CA.,2Stanford University, Stanford, CA
| | - Douglas K Owens
- 1Veterans Affairs Palo Alto Health Care System, Palo Alto, CA.,2Stanford University, Stanford, CA
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Jones EA, Linas BP, Truong V, Burgess JF, Lasser KE. Budgetary impact analysis of a primary care-based hepatitis C treatment program: Effects of 340B Drug Pricing Program. PLoS One 2019; 14:e0213745. [PMID: 30870475 PMCID: PMC6417774 DOI: 10.1371/journal.pone.0213745] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Accepted: 02/27/2019] [Indexed: 12/12/2022] Open
Abstract
PURPOSE Safety-net health systems, which serve a disproportionate share of patients at high risk for hepatitis C virus (HCV) infection, may use revenue generated by the federal drug discount pricing program, known as 340B, to support multidisciplinary care. Budgetary impacts of repealing the drug-pricing program are unknown. Our objective was to conduct a budgetary impact analysis of a multidisciplinary primary care-based HCV treatment program, with and without 340B support. METHODS We conducted a budgetary impact analysis from the perspective of a large safety-net medical center in Boston, Massachusetts. Participants included 302 HCV-infected patients (mean age 45, 75% male, 53% white, 77% Medicaid) referred to the primary care-based HCV treatment program from 2015-2016. Main measures included costs and revenues associated with the treatment program. Our main outcomes were net cost with and without 340B Drug Pricing support. RESULTS Total program costs were $942,770, while revenues totaled $1.2 million. With the 340B Drug Pricing Program the hospital received a net revenue of $930 per patient referred to the HCV treatment program. In the absence of the 340B program, the hospital would lose $370 per patient referred. Ninety-seven percent (68/70) of patients who initiated treatment in the program achieved a sustained virologic response (SVR) at a net cost of $4,150 each, among this patient subset. CONCLUSIONS The 340B Drug Pricing Program enabled a safety-net hospital to deliver effective primary care-based HCV treatment using a multidisciplinary care team. Efforts to sustain the 340B program could enable dissemination of similar HCV treatment models elsewhere.
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Affiliation(s)
- Eric A. Jones
- Boston University, School of Public Health, Boston, MA, United States of America
| | - Benjamin P. Linas
- Boston University, School of Medicine, Boston, MA, United States of America
| | - Ve Truong
- Boston Medical Center, Section of General Internal Medicine, Boston, MA, United States of America
| | - James F. Burgess
- Boston University, School of Public Health, Boston, MA, United States of America
| | - Karen E. Lasser
- Boston University, School of Medicine, Boston, MA, United States of America
- Boston Medical Center, Section of General Internal Medicine, Boston, MA, United States of America
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Cipriano LE, Goldhaber-Fiebert JD, Liu S, Weber TA. Optimal Information Collection Policies in a Markov Decision Process Framework. Med Decis Making 2018; 38:797-809. [PMID: 30179585 DOI: 10.1177/0272989x18793401] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/09/2022]
Abstract
BACKGROUND The cost-effectiveness and value of additional information about a health technology or program may change over time because of trends affecting patient cohorts and/or the intervention. Delaying information collection even for parameters that do not change over time may be optimal. METHODS We present a stochastic dynamic programming approach to simultaneously identify the optimal intervention and information collection policies. We use our framework to evaluate birth cohort hepatitis C virus (HCV) screening. We focus on how the presence of a time-varying parameter (HCV prevalence) affects the optimal information collection policy for a parameter assumed constant across birth cohorts: liver fibrosis stage distribution for screen-detected diagnosis at age 50. RESULTS We prove that it may be optimal to delay information collection until a time when the information more immediately affects decision making. For the example of HCV screening, given initial beliefs, the optimal policy (at 2010) was to continue screening and collect information about the distribution of liver fibrosis at screen-detected diagnosis in 12 years, increasing the expected incremental net monetary benefit (INMB) by $169.5 million compared to current guidelines. CONCLUSIONS The option to delay information collection until the information is sufficiently likely to influence decisions can increase efficiency. A dynamic programming framework enables an assessment of the marginal value of information and determines the optimal policy, including when and how much information to collect.
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Affiliation(s)
- Lauren E Cipriano
- Ivey Business School, Western University, London, ON, Canada (LEC).,Center for Health Policy and Primary Care and Outcomes Research, Stanford University, Stanford, CA (JDG-F).,Industrial & Systems Engineering, College of Engineering, University of Washington, Seattle, WA (SL).,Operations, Economics and Strategy, College of Management of Technology, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (TAW)
| | - Jeremy D Goldhaber-Fiebert
- Ivey Business School, Western University, London, ON, Canada (LEC).,Center for Health Policy and Primary Care and Outcomes Research, Stanford University, Stanford, CA (JDG-F).,Industrial & Systems Engineering, College of Engineering, University of Washington, Seattle, WA (SL).,Operations, Economics and Strategy, College of Management of Technology, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (TAW)
| | - Shan Liu
- Ivey Business School, Western University, London, ON, Canada (LEC).,Center for Health Policy and Primary Care and Outcomes Research, Stanford University, Stanford, CA (JDG-F).,Industrial & Systems Engineering, College of Engineering, University of Washington, Seattle, WA (SL).,Operations, Economics and Strategy, College of Management of Technology, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (TAW)
| | - Thomas A Weber
- Ivey Business School, Western University, London, ON, Canada (LEC).,Center for Health Policy and Primary Care and Outcomes Research, Stanford University, Stanford, CA (JDG-F).,Industrial & Systems Engineering, College of Engineering, University of Washington, Seattle, WA (SL).,Operations, Economics and Strategy, College of Management of Technology, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (TAW)
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