PP387 Budget Impact Analysis Of Adalimumab In The Treatment Of Ankylosing Spondylitis In China

2020 ◽  
Vol 36 (S1) ◽  
pp. 32-33
Author(s):  
Chengaxin Duan ◽  
Binyan Sui ◽  
Kun Zhao ◽  
Dandan Ai ◽  
Qian Xu

IntroductionAnkylosing spondylitis (AS) is a common disease that causes pain and affects productivity. Tumor necrosis factor-α (TNF-α) like adalimumab can bring better clinical efficacy and improve quality of life. Adalimumab is likely to be covered by health insurance. It is necessary to assess the impact of adalimumab for patients with AS on the medical insurance budget in China. Our research aims to give support evidence for policy-making.MethodsFrom the perspective of medical insurance payers, a budget impact model was established to evaluate the impact of adalimumab for the treatment of adults with severe active AS that has responded inadequately to conventional therapy. The time horizon was 5 years (2020–2024). The cost of measurement included drug and treatment costs for adverse events. Scenario analysis was conducted to evaluate the results under different drug price reimbursement ratios and treatment ratios.ResultsBased on the current price of adalimumab (CNY 3,160 [USD 446]/unit), under the reimbursement ratio of 70 percent, adalimumab will increase medical insurance expenditure by CNY 162 [USD 22] million, CNY 152 [USD 21] million, CNY 114 [USD 16] million, CNY 100 [USD 14] million and CNY 88.11 [USD 12] million in the next 1–5 years, respectively. The increased medical insurance expenditure accounts for 0.091, 0.085, 0.064, 0.056, and 0.049 percent of the annual medical insurance expenditure in the next 1–5 years, respectively, which is assumed to be equivalent to the expenditure in 2018 of CNY 1782.2 [USD 251] billion.ConclusionsThe budget impact of adalimumab for AS on medical insurance expenditure is limited, and including adalimumab in the medical insurance catalogue can reduce the burden on individuals, enrich treatment options, and satisfy clinical needs better.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e13593-e13593
Author(s):  
Iseult Browne ◽  
Catherine Weadick ◽  
Austin G Duffy ◽  
Harriet Doig ◽  
Eoin Bradley ◽  
...  

e13593 Background: In Ireland, the incidence of cancer was estimated to be 30,272 in 2018 with approximately 9,621 deaths. Over the next five years, the incidence of all cancers is expected to increase by 39% in males and 27% in females. Despite chemotherapy being considered the SOC in many malignancies, it is associated with high levels of toxicity. The introduction of immunotherapy in oncology has revolutionized cancer care, offering improved health outcomes in a range of tumor types. Many treatment options with the potential for use in several cancer types has led to concerns around the long-term affordability of these products. The objective of the study is to estimate and inform current discussion around the potential public health and economic impact of PD-1/PD-L1 inhibitors in Ireland. Methods: The Health Impact Projection (HIP) model estimates the key clinical health and economic outcomes of PD-1/PD-L1 inhibitors in eight high incidence cancers, over a five-year period (2020–2024) compared to the SOC treatments. SOC includes chemotherapy, immuno-oncology treatments not part of the anti PD-1/PD-L1 class (e.g. ipilimumab) and radiotherapy. It includes an assessment of the relative health benefits such as life-years gained, and utility-adjusted life years gained while drawing on budget impact analysis for its structure and methods. The HIP compares the economic and health outcomes in two scenarios; a world without anti PD-1/PD-L1 treatments, to those obtained in a world where patients are treated with a mix of SOC and anti PD-1/PD-L1 treatments. Results: The model shows that over five years, the clinical benefits offered by the introduction of anti PD-1/PD-L1s include an additional 3,194 life-years, 2,411 progression-free life years, 2,638 quality-adjusted life years and the avoidance of 92 adverse events. PD-1/PD-L1 inhibitors produce an average annual budget impact that is equivalent to 0.32% of total healthcare expenditure. Amongst this figure is a reduced burden of indirect costs and end of life costs – both of which fall with anti PD-1/PD-L1s on the market. Conclusions: Ireland faces uncertainty in cancer care with pressure to reduce costs – the HIP helps demonstrate the value of anti PD-1/PD-L1s. Problems stem from a healthcare system that is fragmented and orientated towards dealing with acute conditions. Anti PD-1/PD-L1s are predicted to improve outcomes in Ireland with PFS gains being the largest. In 2020, the budget impact of this class in Ireland is expected to represent a somewhat significant portion of total expenditure on cancer medicines but a small portion of total healthcare expenditure. By projecting budget impact over a five year period, this model should help inform multi-annual budget planning for innovative oncology medicines. This model informs planning by helping quantify the impact of immuno-oncology treatments on health and budget in different scenarios.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1612.2-1613
Author(s):  
J. M. Bello-Gualtero ◽  
O. J. Calixto ◽  
G. Salguedo ◽  
Y. M. Chamorro-Melo ◽  
C. A. Camargo Rodríguez ◽  
...  

Background:Spondyloarthritis refers to a family of diseases, of which ankylosing spondylitis and non-radiographic axial spondyloarthritis are responsible for axial impairment. Previously, the only treatment available were NSAIDs, which control activity and stop radiological progression, but at the expense of increased adverse effects, such as cardiovascular risk, dyspepsia and chronic renal failure. For the past 2 decades, biological therapy has been available, which means an increase in care costs.Objectives:The objective of this study is to perform a budget impact analysis of biologic therapy.Methods:To do a budget impact analysis from the perspective of the payer, comparing biological therapy with coventional therapy for the treatment of spondyloarthritis. Demographic characterization of the population attended at the Central Military Hospital. Time horizon from 2012 to 2018, taking the activity count according to the hospital’s billing and the prices of the activities of the state body SISMED. Exchange rates at the end of 2018.Results:The patients attended were 117, mostly men (63, 25%), average age 46, 4 years (SD 13), with disease diagnosis time of 9, 8 years (SD 9, 6). In the budget impact analysis, it is observed that 25% of patients were on DMARDs therapy, 22% with NSAIDs and 96% with biologic therapy. The average year/patient cost with NSAIDs alone would be EUR 381, with DMARDs only EUR 9,318 and, if only biological therapy was used, EUR 423. Within the total number of patients, the average annual cost, including the possibility of combining these drugs, amounted to EUR 5,403Conclusion:Including biological therapy in the care of patients with spondyloarthritis can increase up to 24 times the annual cost per patient. This increase is not only due to higher market value, it also relates to the need for more medical procedures and diagnostic follow-up tests.References:[1]Strömbeck, et al. Cost of Illness from the Public Payers’ Perspective in Patients with Ankylosing Spondylitis in Rheumatological Care. J Rheumatol 2010;37;2348-2355.Disclosure of Interests:None declared


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18820-e18820
Author(s):  
Elizabeth James ◽  
Holly Trautman ◽  
Ali McBride ◽  
Azhar Choudhry ◽  
Stephen Thompson

e18820 Background: Rituximab-abbs is an anti-CD20 monoclonal antibody and an important immuno-oncology agent for the treatment of B-cell malignancies NHL (diffuse large B-cell lymphoma [DLBCL] and follicular lymphoma [FL]) and CLL. It is also indicated for patients with RA, GPA, and MPA. Rituximab-abbs was the first rituximab biosimilar approved in the US and is expected to reduce drug acquisition costs. This budget impact model (BIM) estimated the impact of replacing a share of originator rituximab (IV-R-REF) use with rituximab-abbs (IV-R-BIOSIM) for NHL (DLBCL and FL), CLL, RA, GPA, and MPA. The objective was to project incremental annual cost differences between IV-R-BIOSIM and IV-R-REF for a hypothetical 1-million-member US healthcare insured (Medicare) population. Methods: An illustrative BIM estimated changes in 1-year drug and administration costs for an increased IV-R-BIOSIM uptake from 17.5% to 22.0%. Values for epidemiology, market share distribution, drug dosing, administration, and costs were derived from scientific literature, product labels, and publicly available cost resources. Dosing was based on a mean patient body surface area of 1.8 m2. Annual dose counts per patient were: 10 untreated FL with maintenance; 8 untreated FL (without maintenance), relapsed/refractory FL, or untreated DLBCL; 6 CLL, and 4 for RA, GPA, or MPA. All treatments were assumed to infuse over 3 hours. Drug acquisition and administration costs were from 2020 Average Sales Price pricing file and Centers for Medicare and Medicaid Services Physician Fee Schedule. Patient cost share was based on 2020 Medicare Part B 20% cost-share for office visits and drug products. Univariate sensitivity analyses were conducted. A scenario analysis was performed to project 2-year costs for extended FL maintenance treatment. Results: Estimated total annual plan incremental savings for a 1-million-member payer after the utilization shift were $312,379, equating to $0.31 per enrolled member per year (PMPY). Per-patient incremental drug cost savings with IV-R-BIOSIM for 1-year were $5,474–$12,924 (Table). The model was most sensitive to IV-R-REF cost and proportion of patients with RA. Conclusions: This analysis estimated annual savings of over $310,000 ($0.31 PMPY) for a 1-million-member US payer following a 4.5% utilization shift from IV-R-REF to IV-R-BIOSIM, demonstrating that IV-R-BIOSIM may confer considerable economic benefits vs originator rituximab.[Table: see text]


2010 ◽  
Vol 26 (3) ◽  
pp. 288-293 ◽  
Author(s):  
Americo Cicchetti ◽  
Matteo Ruggeri ◽  
Lara Gitto ◽  
Francesco Saverio Mennini

Objectives: Influenza (vernacular name, flu) is a viral infection that causes a high consumption of resources. Several studies have been carried out to provide an economic evaluation of the vaccination programs against influenza. Nevertheless, there is still a lack of evidence about the dynamic effects resulting from the reduction of the transmission power. This study considers the impact on contagiousness of alternative strategies against influenza in people aged 50–64 in Italy, France, Germany, and Spain.Methods: By using the Influsim 2.0 dynamic model, we have determined the social benefits of different coverage levels in every country compared with the ones currently recommended. We have subsequently performed a Budget Impact Analysis to determine whether the currently recommended coverage results from an optimal budget allocation. A probabilistic sensitivity analysis was also conducted.Results: We found that in Germany, the optimal coverage level is 38.5 percent, in France 32.4 percent, in Italy 32.75 percent, and 28.3 percent in Spain. By extending the coverage level, social saving tends to increase up to 100 percent for France and Italy and up to 80 percent for Germany and Spain.Conclusions: Decision makers should allocate the budget for vaccination against influenza consistently with the estimation of the optimal coverage level and with the dynamic effects resulting from the reduction of the transmission power.


2009 ◽  
Vol 10 (1) ◽  
pp. 19-31 ◽  
Author(s):  
Maurizio Benucci ◽  
Sergio Iannazzo ◽  
Luciano Sabadini

Objective: a Budget Impact analysis was performed to evaluate cost implications for the Italian National Health Service (NHS) of the introduction of rituximab (RTX) in the treatment of rheumatoid arthritis (RA). Methods: RA patients eligible to treatment with a second-line biologic DMARD (Disease Modifying Antirheumatic Drugs) were identified and quantified and available strategies for their management were explored. Costs associated with the different alternatives were estimated, and the impact on the NHS budget was estimated using a cohort simulation based on a Markov chain with a time horizon of 5 years and 1-year cycles. Seven alternative strategies were analyzed, each of them starting after the failure of a first anti-TNFα: 1) the use of a second and a third anti-TNFα; 2) the use of a second anti-TNFα followed by RTX; 3) the use of a second anti-TNFα followed by abatacept (ABAT); 4) the use of RTX as a second biological line, followed by an anti-TNFα; 5) the use of ABAT as a second biological line, followed by an anti-TNFα; 6) the use of RTX as a second biological line, followed by ABAT; 7) the use of ABAT as a second biological line, followed by RTX. Only direct medical costs were considered: drug acquisition, administration, incidental premedication and monitoring exams. Results: Italian patients eligible to second biological line therapies (RA patients refractory or intolerant to at least one anti-TNFα therapy) were estimated in about 650 per year. The adoption of RTX as a second line therapy produced a substantial saving in total costs (-33% at the fifth year) with respect to the strategy with RTX as third line and the one with only anti-TNFα (the last two resulting substantially cost-equivalent). The number of patients in active treatment (biologic DMARD) per unit cost resulted of about 8.1 patient-years/100,000 € with the strategy based only on anti-TNFα and increased of 10% with RTX as a third line. The strategy of RTX as a second line provided a further 41% increase (with respect to RTX as a third line). Conclusions: the introduction of RTX in the treatment of Italian RA patients represents a valuable new therapeutic option for this population especially if anticipated after a first anti-TNFα failure; it can also induce a reduction in health resources consumption for the NHS.


2019 ◽  
Vol 35 (S1) ◽  
pp. 44-45
Author(s):  
Alexander Roediger ◽  
Julie van Bavel ◽  
James Pellissier ◽  
Stefano Lucherini ◽  
Neil Davies ◽  
...  

IntroductionThe rapid expansion of immuno-oncology treatment options has led to concerns around their long-term affordability. Evidence on the potential budget and health impact of these new treatment options is required to inform public health policy and ensure adequate allocation of budget for the future.MethodsThe Health Impact Projection model was developed to compare the economic impact and health outcomes observed with and without PD-1/PD-L1 inhibitors using traditional budget impact analysis. Seven types of high-incidence cancers were included: melanoma, first- and second-level non-small cell lung, bladder, head and neck, renal cell carcinoma, and triple negative breast. Inputs were based on publicly available data and literature, and over 10 key experts (oncologists, health economists) were involved in the model development. The model draws on five-year budget impact analysis.ResultsUsing the experience of Belgium, Slovenia, Switzerland, and Italy, the model estimates budget and health impact of the PD-1/PD-L1 inhibitor class. It shows that for 2018-2022, the class will provide additional life years and avoid high-grade adverse events (AEs) with a manageable budget impact per year compared to the standard of care. The model also enables policy-makers to assess the adequacy of their budget for the near future and explore the implications of different policy decisions. Results for Belgium show that over the five-year period the PD-1/PD-L1 inhibitors will save 10,635 additional life years, avoid 7,597 AEs and have a budget impact of approximately EUR 260 million. Results for Slovenia show 1,468 additional life years gained and 869 AEs avoided with a budget impact of approximately EUR 116 million; for Switzerland, 6,775 life years gained, 6,953 AEs avoided, and EUR 106 million budget impact; and for Italy, 5,019 life years gained, 2,040 AEs avoided, and EUR 627 million budget impact.ConclusionsAlthough limitations exist, the model informs planning by helping quantify the potential impact of immune-oncology treatments on health and budget in different scenarios.


2016 ◽  
Vol 19 (7) ◽  
pp. A533
Author(s):  
H Kousoulakou ◽  
M Geitona ◽  
M Chatzikou ◽  
K Doukoumetzidis ◽  
D Patrikos

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