Literature DB >> 31190927

Budget impact model of avelumab in patients with metastatic merkel cell carcinoma in the US.

Murtuza Bharmal1, Mairead Kearney1, Ying Zheng2, Hemant Phatak2.   

Abstract

Objective: To estimate the budget impact of avelumab as a treatment option for patients with treatment-naïve first-line (1L) and previously treated second-line or later (2L+) metastatic Merkel cell carcinoma (mMCC) in the US.
Methods: A budget impact model was developed to evaluate the addition of avelumab for the treatment of mMCC patients using a hypothetical 30 million-member US health plan over a 3-year time horizon (2019-2021). The comparator treatments included in the analysis were pembrolizumab and nivolumab (other immuno-oncology agents); and the chemotherapies routinely used in the eligible mMCC population. Model inputs included market share uptake of avelumab and other comparators, duration of treatments, and costs (drugs, health care resource utilization, adverse events). The model was evaluated from a commercial payer perspective. Sensitivity analyses were conducted to test uncertainties arising from the input values used in the model.
Results: In a hypothetical commercial health plan of 30 million members, 285 patients with mMCC were identified over 3 years; 43 patients received avelumab as a 1L treatment over 3 years. In a world without avelumab, the total health care costs of treating patients with mMCC over 3 years were estimated to be US$11,710,115 from a commercial health plan perspective. With avelumab, there were estimated savings of $2,643,173 considering the total costs related to the treatment of mMCC over 3 years (23% reduction in the budget). The incremental cost per member per month over 3 years was -$0.0025.
Conclusion: The model results indicate that the adoption of avelumab as a treatment option for mMCC would likely result in minimal budget impact from a US health plan perspective. Patients with mMCC, a rare condition with a poor prognosis and high unmet need, may benefit greatly from recently approved immunotherapies.

Entities:  

Keywords:  avelumab; budget impact model; cost; metastatic merkel cell carcinoma

Year:  2019        PMID: 31190927      PMCID: PMC6535410          DOI: 10.2147/CEOR.S202642

Source DB:  PubMed          Journal:  Clinicoecon Outcomes Res        ISSN: 1178-6981


Introduction

Merkel cell carcinoma (MCC) is a rare cutaneous neuroendocrine malignancy. The etiology of MCC is likely multifactorial, with risk factors including immunosuppression, autoimmune conditions, previous Merkel cell polyomavirusinfection, advancing age, fair skin, and ultraviolet light exposure.1–3 Between 2000 and 2013, the number of reported solid tumor cancer cases (6,600 cases identified by the SEER-18 database) increased by 15%, melanoma cases increased by 57%, and MCC cases increased by 95%.4 In 2013, the MCC incidence rate was 0.7 cases per 100,000 person-years in the US, corresponding to 2,488 cases per year.4 Other factors, such as older age, male gender, and Caucasian ethnicity, have been shown to be associated with the increased incidence of MCC in the US.4–6 For example, the incidence of MCC increased from 0.1 to 1.0 to 9.8 (per 100,000 person-years) among age groups 40–44 years, 60–64 years, and ≥85 years, respectively; and the US MCC incident cases are expected to climb to 2,835 cases per year in 2020 and 3,284 cases per year in 2025 due to the aging population.4 Approximately 4–15% of MCC patients are diagnosed at the metastatic stage; the propensity for metastasis is high, occurring in over 30% of cases within 1–3 years following diagnosis.7–9 Survival is strongly dependent on disease stage at diagnosis, with a worse prognosis observed with advanced and metastatic MCC (mMCC).10 In patients with mMCC, the 5-year survival rates fall considerably, with estimates ranging from 0% to 18%.11,12 Studies have shown that the median survival from the time of initial metastasis was approximately 9.6 months in MCC patients who developed distant metastatic disease.8 Within the US, MCC patients who had distant mMCC and who were undergoing second-line or later (2L+) chemotherapy, demonstrated very low survival.13,14 In the most recent US study conducted using US Oncology Network data, a total of 20 patients who qualified for 2L+ therapy and previously treated with first-line (1L), had a 6-month overall survival (OS) rate of 30.2% (95% CI: 11.6–51.4) and a 12-month OS rate of 0.0%.14 Avelumab, an anti-PD-L1 antibody, was approved by the FDA in March 2017, as the first anti-PD-L1 immunotherapy for adult and pediatric patients. In December 2018, the FDA granted accelerated approval to pembrolizumab for adult and pediatric patients with recurrent locally advanced or mMCC. Although not yet approved for the treatment of mMCC, nivolumab has been recommended for use in NCCN guidelines.15 Prior to the approval of avelumab, treatment options have been palliative and included: participation in clinical trials, chemotherapy as clinical judgment dictated for patients with contraindications to checkpoint immunotherapy, and radiation therapy.15,16 Systemic chemotherapy has been commonly used as a palliative option and although studies report initial responses to chemotherapy, the duration of response is short and the true impact on survival remains unclear.15,17–22 Responses are lower in the second-line (2L) setting (23%) compared with the 1L (53–57%).13,14,17,22 Additionally, the chemotherapy options commonly used are associated with considerable toxicity, rendering them unsuitable for use in many mMCC patients who tend to be elderly, with poor Eastern Cooperative Oncology Group (ECOG) performance status, and with multiple comorbidities.22–25 It is important to evaluate the financial impact that a new therapy approved for patients with mMCC may have on the current US healthcare system. Budget impact models (BIMs) are used by payers and other health care decision-makers to estimate the incremental expenditures of adopting a new treatment to drug formularies on a health plan. The primary objective of this study is to evaluate the budget impact from a US health plan payer perspective of the introduction of avelumab for the treatment of mMCC patients who are treatment-naïve (1L) and previously treated (2L+).

Methods

Model structure, perspective, and time horizon

An economic model was developed in Microsoft® Excel® (v16.0, 32-bit) to assess the budget impact of avelumab for the treatment of mMCC patients in a hypothetical 30 million-member (30,000,000) US health plan over a 3-year time horizon. Model cycle length was set at 4 weeks. The BIM allocated eligible patients to the various treatment options and compared the projected uptake of avelumab (world with avelumab, revised scenario) with various alternative treatment options (world without avelumab, current scenario) (Figure 1). The BIM contained information on the number of eligible patients for treatment of mMCC, the market shares of current and anticipated treatment distributions for all of the interventions compared, and the relevant drug and health care resource use (HRU) costs. The costs were calculated based on the number of eligible patients, treatment duration, adverse events (AEs), and market share of various treatments. The budget impact was the difference between the total costs from the “world without avelumab” scenario and the “world with avelumab” revised scenario. The model was evaluated using a commercial payer perspective. No discounting was required because the aim of the BIM was only to compare annual nominal cash flows. The BIM was set to a 3-year time horizon (2019–2021).
Figure 1

Model structure.

Model structure.

Model input variables

Target population

The BIM estimated the population within a 30 million-member health plan who were identified with MCC. The final patient population for the model included 1L and 2L+ patients diagnosed with mMCC. In 2019, 252 patients were estimated to have MCC, within a population of 30 million, and 37% (94 patients) were assumed to have mMCC with 25 patients eligible for 1L treatment, and 7 patients eligible for 2L+ (Table 1). From the years 2019 to 2021, a total of 97 patients were estimated to be eligible for treatment. The disease incidence rate was identified in published literature.4
Table 1

Patient population in 2019

Data descriptionRateValueSource
Plan populationNA30,000,000User Input
MCC incidence rate (per 100,000)0.842524,52
mMCC (%)37%94Calculated from Cowey et al, 201714
Total number of patients receiving treatment (includes 1L and 2L+)34%32Calculated from Cowey et al, 201714

Abbreviations: MCC, merkel cell carcinoma; mMCC, metastatic merkel cell carcinoma; 1L, treatment-naïve, first line; 2L+, second-line or later.

Patient population in 2019 Abbreviations: MCC, merkel cell carcinoma; mMCC, metastatic merkel cell carcinoma; 1L, treatment-naïve, first line; 2L+, second-line or later.

Treatments and market share

The comparator treatments in 1L and 2L+ included other immuno-oncology (IO) agents (pembrolizumab and nivolumab) and the chemotherapies routinely used in the eligible population. It was assumed that IO agents would partially replace chemotherapies. Within the model, the estimated market share of IO agents was set at 80% in the 1L setting and 25% in 2L+, with the remaining 20% and 75% of mMCC patients being treated with chemotherapies in 1L and 2L+, respectively (Table 2). Within the IO agents, avelumab was assumed to have a consistent uptake at 65% each year for 3 years, pembrolizumab at 28%, and nivolumab at 7%. The market share of chemotherapies was set at the same rate for the 3 years at 20% as 1L and 75% as 2L+ (Table 2). A total of 44% of patients treated with chemotherapies received topotecan with the remainder receiving a range of alternative chemotherapies. The market share assumptions were based on an internal forecast (Merck Healthcare KGaA/EMD Serono, Inc., data on file) and a study by Cowey et al 2017 (Table 2).14,
Table 2

Market shares of therapies in the 1L and 2L+ settings

2019–2021, without avelumab2019–2021, with avelumabSource
1L
IO Agents80.0%80.0%Merck Healthcare KGaA/EMD Serono, Inc., data on file
 Avelumab0.0%65.0%
 Pembrolizumab80.0%28.0%
 Nivolumab20.0%7.0%
Chemotherapy20.0%20.0%14, Merck Healthcare KGaA/EMD Serono, Inc., data on file
 Carboplatin11.1%11.1%
 Carboplatin+ etoposide11.1%11.1%
 Cyclophosphamide+ doxorubicin+ vincristine33.3%33.3%
 Topotecan44.4%44.4%
2L+
IO Agents25.0%25.0%Merck Healthcare KGaA/EMD Serono, Inc., data on file
 Avelumab0.0%65.0%
 Pembrolizumab80.0%28.0%
 Nivolumab20.0%7.0%
Chemotherapy75.0%75.0%14, Merck Healthcare KGaA/EMD Serono, Inc., data on file
 Carboplatin11.1%11.1%
 Carboplatin + etoposide11.1%11.1%
 Cyclophosphamide + doxorubicin + vincristine33.3%33.3%
 Topotecan44.4%44.4%

Abbreviations: 1L, treatment-naïve, first line; 2L+, second-line or later; IO, immuno-oncology.

Market shares of therapies in the 1L and 2L+ settings Abbreviations: 1L, treatment-naïve, first line; 2L+, second-line or later; IO, immuno-oncology.

Cost estimation

This model included the following types of costs in the analysis: drug costs, HRU/management costs and AE (grade 3+) costs. Chemotherapy costs were calculated using body-weight-based dosing. The costs of IO agents (avelumab, pembrolizumab, and nivolumab) and carboplatin were based on flat doses.26–28 No discounting of costs was applied to the BIM, as per established by BIM guidelines from the International Society of Pharmacoeconomics and Outcomes Researchand formulary submission guidelines from the Academy of Managed Care Pharmacy.29,30 All costs obtained before 2018 were inflated to 2018 using the medical care component of the Consumer Price Index from the United States Department of Labor.31

Treatment duration and costs

No differentiation of treatment duration by response was applied in the 1L setting given a lack of data. Additionally, as median treatment duration was not reported in the most recently published trial data for IO agents, median progression-free survival (PFS) was used as a proxy.32,33 Treatment duration for nivolumab was assumed to be the same as pembrolizumab and was based on the median PFS observed in clinical trials.33 For 1L treatment, duration of chemotherapy was also based on clinical trial results.14 The duration of response was varied for different treatments and separately by responders and non-responders in the sensitivity analysis to test the robustness of the assumptions. Within the 2L+ setting, the treatment duration of IO agents was assumed to vary for responders and non-responders based on prior evidence and estimates used in a cost-effectiveness model based on trial data (Table 3).34,35 For 2L+ chemotherapy, duration of treatment was based on clinical study results.14 The duration of treatment was assumed to be similar across all the chemotherapy regimens. Unit costs of drugs were obtained from the CMS drug pricing files (accessed in 2018).36 All the treatments considered in the analysis were intravenous, and their respective administration costs were included in the analysis. The drug costs are outlined in Table 4.
Table 3

Duration of treatment (months)

Responders(CR+PR)Non-responders(SD+PD)Source
1L
Avelumab9.19.132
Pembrolizumab16.816.833
Nivolumab16.816.833, same as pembrolizumab (assumed)
Chemotherapies4.64.614
2L+
Avelumab4.42.7Responders: 35; Non-responders: 34
Pembrolizumab4.42.7Responders: 35; Non-responders: 34, same as avelumab (assumed)
Nivolumab4.42.7Responders: 35; Non-responders: 34, same as avelumab (assumed)
Chemotherapies2.22.214

Abbreviations: 1L, treatment-naïve, first line; 2L+, second-line or later; CR, complete response; PR, partial response; SD, stable disease; PD, progressive disease.

Table 4

Summary of costs (per 4-week model cycle)

TreatmentsDrug costs (USD)HRU costs (USD)AE costs (USD)
IO Agents
 Avelumab12,894696375
 Pembrolizumab12,95346467
 Nivolumab13,03434867
Chemotherapy
 Carboplatin39331433
 Carboplatin+etoposide1527661,334
 Cyclophosphamide+doxorubicin+vincristine1,173442886
 Topotecan2071,2143,287

Abbreviations: HRU, health care resource utilization; IO, immuno-oncology; AE, adverse event.

Duration of treatment (months) Abbreviations: 1L, treatment-naïve, first line; 2L+, second-line or later; CR, complete response; PR, partial response; SD, stable disease; PD, progressive disease. Summary of costs (per 4-week model cycle) Abbreviations: HRU, health care resource utilization; IO, immuno-oncology; AE, adverse event.

AE Costs

Based on the National Cancer Institute Common Terminology Criteria for Adverse Events, the analysis included grade 3 or higher AEs occurring in more than 5% of patients with at least one treatment. AEs considered in the analysis included neutropenia, alanine transaminase/increased transaminase, anemia, leukopenia/lymphopenia, nausea/vomiting, decreased hemoglobin, fatigue, dyspnea, infections, hyponatremia, elevated aspartate aminotransferase, myelosuppression, neuropathy, and thrombocytopenia. The rates of AEs were obtained from clinical trials and treatment labels.26–28,34,37–41 The proportion of severe AEs to non-severe AEs was derived from the literature and used as a proxy to determine the ratio of hospitalizations and outpatient visits for each AE.42 The cost of each AE was extracted using CPT codes for outpatient costs and HCUPnet data for hospitalizations.43–45 After applying a weighted average to the costs (weighted for ratio of hospitalizations and outpatient visits), the three most expensive AEs were thrombocytopenia, dyspnea, and neutropenia, at US$3,142, $2,058, and $1,715, respectively. For avelumab, other IO agents and various chemotherapies the frequency of thrombocytopenia was 1.0, 0.0, and 0.0–50.2%, for dyspnea was 1.0, 0.0, and 0.0–6.1%, and for neutropenia was 1.0, 0.0, and 0.0–49.8%, respectively. The total AE costs are displayed in Table 4.

Healthcare resource utilization

HRU costs associated with mMCC treatments included intravenous administration (first and subsequent hours), hospitalization, general physician and specialist visits, and some tests and scans. Frequencies of HRU were provided by ECOG reports, clinical trials, and other literature sources.37,41,46,47 Unit costs associated to monitoring, physician visits, scans, and tests were sourced from the fee schedules, and they applied for the duration of treatment.48,49 The HRU costs are displayed in Table 4.

Results

In a world without avelumab, using a base-case analysis of a 30,000,000 member-health plan, the total cost for treating patients with mMCC over 3 years (2019–2021) was estimated to be $11,710,115 from a payer perspective. The total savings associated with the introduction of avelumab over 3 years were $2,643,173, driven mainly by the decrease in drug costs over the 3-year period (23% reduction in the budget) (Table 5). The incremental cost per member per month (PMPM) was −$0.00212 in the first year, −$0.00260 in the second year, and −$0.00262 in the third year.
Table 5

Budget impact over 3 years, 2019–2021 (USD)

CostsScenario without avelumab(A)Scenario with avelumab(B)Cumulative budget impact(C = B – A)% change in budget
Drugs$11,178,202$8,523,446−$2,654,756−23.8%
HRU$478,837$479,957$1,1200.2%
AEs$53,076$63,540$10,46319.7%
Total$11,710,115$9,066,942$2,643,17322.6%
Cost per member per month$0.0109$0.0084$0.002522.6%

Note: Bold values indicate key conclusions of the analysis: total and per member per month costs. 

Abbreviations: HRU, health care resource utilization; AE, adverse event.

Budget impact over 3 years, 2019–2021 (USD) Note: Bold values indicate key conclusions of the analysis: total and per member per month costs. Abbreviations: HRU, health care resource utilization; AE, adverse event.

Sensitivity analyses (SA)

Deterministic one-way SA were performed to examine the uncertainty around key parameters on model outputs. Treatment duration was subject to much uncertainty, and several different scenarios were tested to address various possibilities. One example of uncertainty included the median PFS of pembrolizumab, a proxy for treatment duration, with trial data reported as 16.8 months (95% CI, 4.6 months to not estimable).33 As the 95% confidence interval was wide, two scenarios tested the approximate limits of the interval, reducing treatment duration to a quarter and increasing it by 300% for pembrolizumab and nivolumab. These variations resulted in a 3-year incremental budget impact of −$7,961,329 and $2,146,493, respectively, demonstrating a wide range of potential impacts. Additionally, the pembrolizumab trial reported a median PFS longer than the avelumab trial, driving a large difference in treatment duration between IO agents in this analysis.32,33 Two scenarios were tested to address uncertainty regarding this difference. One scenario assumed the 1L duration of all IO agents was based on the avelumab trial data and the other assumed 1L duration was based on the pembrolizumab trial data and the 3-year budget impact was $74,306 and $110,810, respectively, both relatively negligible increases compared to the overall budget. Additionally, as the duration of 1L non-responders was assumed to be the same as responders (for both IO agents and chemotherapies) due to the lack of data, one scenario tested a 50% reduction in 1L treatment duration for non-responders and found an incremental budget impact of −$2,099,499 over 3 years. Duration of treatment for all IO agents in the 1L was also doubled and halved and these scenarios were found to have incremental budget impacts of −$3,630,874 and −$1,612,051, respectively. Market shares scenario included a slower uptake of IO agents in 1L, where their market share was 50% in 1L and increased to 50% in 2L+ (exclusive scenario with altered market shares), resulting in a 3-year impact of −$2,000,186. Another scenario assumed that IO agents completely replaced chemotherapies in both 1L and 2L+ setting, with an impact of −$3,060,105 over 3years. Additional scenarios modifying the incidence of mMCC, number of patients receiving treatment, and treatment duration were all tested separately. More information regarding each scenario and the resulting effect on the incremental budget impact and incremental PMPM cost is presented in Table 6. All the analyses suggested that avelumab has a minimal budget impact, with PMPM consistently below $0.01. The largest effect was observed for the scenario which varied treatment duration for 1L pembrolizumab and nivolumab.
Table 6

Sensitivity analyses

Incremental budget impact (USD)Incremental PMPM (USD)
ScenariosChangeYear 1Year 2Year 3TotalYear 1Year 2Year 3Average
Base case*NA$764,287$935,720$943,166$2,643,173$0.0021$0.0026$0.0026$0.0025
Incidence+20%−$917,144−$1,122,864−$1,131,800−$3,171,807−$0.0026−$0.0031−$0.0031−$0.0029
−20%−$611,429−$748,576−$754,533−$2,114,538−$0.0017−$0.0021−$0.0021−$0.0020
Total number of patients receiving treatment (1L, 2L+)+20%−$917,144−$1,122,864−$1,131,800−$3,171,807−$0.0026−$0.0031−$0.0031−$0.0029
−20%−$611,429−$748,576−$754,533−$2,114,538−$0.0017−$0.0021−$0.0021−$0.0020
IO agent market share (1L, 2L+)1L: 50%,2L: 50%−$764,647−$647,611−$587,928−$2,000,186−$0.0021−$0.0018−$0.0016−$0.0019
IO 100%; chemo 0%−$760,505−$1,123,745−$1,175,855−$3,060,105−$0.0021−$0.0031−$0.0033−$0.0028
Duration of 1L non-responders (both IO agents and chemo)−50%−$631,582−$730,371−$737,546−$2,099,499−$0.0018−$0.0020−$0.0021−$0.0020
Duration of treatment for 1L IO agents+100%−$77,524−$1,399,158−$2,154,193−$3,630,874−$0.0002−$0.0039−$0.0060−$0.0034
−50%−$533,432−$535,328−$543,291−$1,612,051−$0.0014−$0.0015−$0.0015−$0.0015
Based on avelumab data$24,509$24,666$25,131$74,306$0.0001$0.0001$0.0001$0.0001
Based on pembroliz-umab data$35,105$37,567$38,138$110,810$0.0001$0.0001$0.0001$0.0001
Duration of treatment for 1L pembrolizumab and nivolumab+300%−$1,004,355−$2,650,493−$4,306,481−$7,961,329−$0.0028−$0.0074−$0.0120−$0.0074
−75%$710,418$712,822$723,253$2,146,493$0.0020$0.0020$0.0020$0.0020
Duration of treatment for IO agents (2L+)+100%−$764,060−$935,492−$942,935−$2,642,487−$0.0021−$0.0026−$0.0026−$0.0025
−50%−$764,400−$935,834−$943,283−$2,643,516−$0.0021−$0.0026−$0.0026−$0.0025

Notes:*Base case refers to the results of the main analysis without any additional scenarios and is presented for comparative purposes.

Abbreviations: PMPM, per member per month; NA, not applicable; IO, immuno-oncology; chemo, chemotherapy; 1L, treatment-naïve, first line; 2L+, second-line or later.

Sensitivity analyses Notes:*Base case refers to the results of the main analysis without any additional scenarios and is presented for comparative purposes. Abbreviations: PMPM, per member per month; NA, not applicable; IO, immuno-oncology; chemo, chemotherapy; 1L, treatment-naïve, first line; 2L+, second-line or later.

Discussion

Survival is poor in patients with mMCC and early diagnosis and timely interventions are key to improving health outcomes. Prior to the approval of avelumab in 2017, treatment options for mMCC were limited; with most patients being offered chemotherapy or best supportive care. Patient outcomes and survival benefit have been minimal with the use of chemotherapy. Now that avelumab and pembrolizumab have been approved for the treatment of mMCC in the US, the spectrum of current therapies for patients with mMCC is changing. Several clinical trials of immune checkpoint inhibitors (anti-PD-1, PD-L1, and CTLA-4 Abs) administered as monotherapy or in combination with other agents or modalities are ongoing as a search on ClinicalTrials.gov revealed, and these may provide further treatment options for patients with mMCC. With the understanding that mMCC is a rare condition with a poor prognosis, patients have the opportunity to benefit greatly from new innovative immunotherapies. An analysis of real-world data from SEER-Medicare in patients aged ≥65 years diagnosed with mMCC from 2006 to 2013 revealed that 83% of patients received surgery, radiation or chemotherapy as 1L treatment.50 The cumulative proportion of newly diagnosed mMCC patients surviving at 1 year was 48%, and 16% at 5 years.50 The purpose of this study was to evaluate the budget impact of the introduction of a new IO agent, avelumab, into the US healthcare system from a payer perspective. Based on results from the JAVELIN Merkel 200 Part A study, a multicenter, international, open-label, Phase II clinical trial, the FDA granted an accelerated approval for avelumab for the treatment of adults and pediatric patients 12 years and older with mMCC. Also, in this trial, there was a trend toward a higher response rate which was observed in patients treated with avelumab who had fewer lines of prior treatment, which along with the pembrolizumab data, strongly suggest that immunotherapy targeting the PD-1 pathway should be considered for the treatment in patients with advanced MCC.33 Additionally, due to its promising results from its clinical trial, avelumab has also been included as a treatment option in NCCN guidelines for disseminated MCC.15 The HRU cost of avelumab is higher relative to other IO agents, in large part, due to the increased frequencies of administration (eg, more frequent intravenous administrations leads to increased costs). As per package inserts, a flat dose of 800 mg for avelumab was used intravenously every 2 weeks, whereas for other IO agents, cycles vary from 3 to 4 weeks (nivolumab was conservatively estimated to be administered at a dose of 480 mg every 4 weeks).26–28 Additionally, the frequency of AEs was obtained from the package insert for avelumab.26 For other IO agents, as the package inserts contained incomplete AE frequency information for MCC patients, package inserts were used in conjunction with trial publications.27,28,33,52 The available evidence reported different frequencies of AEs between avelumab, which had slightly higher rates of neutropenia, anemia, and leukopenia/lymphopenia relative to other IO agents. Despite the minor differences in AE frequencies, costs related to AEs were much smaller compared to other cost categories, and the discrepancy between IO agents had a relatively negligible effect on the final result. SA were conducted varying the effect of key parameters in the BIM, with particularly wide variance used in relation to treatment duration which was subject to greater uncertainty. Across all scenarios, avelumab had a minimal budget impact, with health care costs consistently below $0.01 PMPM in large part due to the rarity of the disease in relation to the amount of health plan members. The largest variance was observed in relation to scenarios decreasing treatment duration for pembrolizumab and nivolumab by a quarter and increasing them by 300%. The robustness of these assumptions was limited by the availability of data. Since avelumab has been approved for the treatment of mMCC in the US, EU, Japan, and other markets, the spectrum of current therapies for patients with MCC is evolving creating a need to evaluate the economic impact of novel therapies. A value-based cost-effectiveness analysis of avelumab was conducted from a UK National Health Service perspective.35 The analysis included a three state, partitioned-survival model based on the JAVELIN Merkel 200 trial. A mix of chemotherapy and best supportive care was considered as the standard of care and the introduction of avelumab resulted in an incremental cost-effectiveness ratio (ICER) of £39,178 in treatment-naïve mMCC patients and £35,274 in treatment-experienced patients. The ICER was calculated to have a 69.3% and 88.3% probability of being cost-effective at a threshold of £50,000 per quality-adjusted life year for treatment-experienced and treatment-naïve patients, respectively. The analysis included UK-specific inputs and other IO agents were not considered as comparators which is a notable difference from this BIM’s US assumptions. However, to the authors’ knowledge, this is the only cost-effectiveness analysis published for 1L treatment of avelumab in mMCC patients. An additional country-specific analysis with an updated list of comparators is warranted to support these findings in a US setting and validate if the reimbursement of avelumab would be an efficient use of scarce health care resources.

Limitations

As with any BIM, the validity of the results is only as plausible as the inputs and assumptions made within the model. Assumptions made in this BIM are unlikely to be applicable to all health plans or payer types with different population distributions, formulary structures, and cost-sharing arrangements. With any study, there are some limitations to address, for example, due to the lack of clinical evidence on the efficacy of sequencing of IO agents in both 1L and 2L+ setting, market shares of IO agents were assumed to be stable across the 3-year timeframe of the model. The analysis assumed that the introduction of avelumab only altered the treatment mix of the IO therapy shares and not the shares of chemotherapies. Because there are limited data for many of the parameters, much of the parameter uncertainty in the BIM cannot be meaningfully quantified. To address this, various scenario analyses were undertaken by changing selected input parameter values and structural assumptions to produce plausible alternative scenarios.29 As a non-probabilistic model was developed, partly due to insufficient data to create a state-based model, patient-to-patient variance was not incorporated in the model structure and is a limitation. Additionally, only one therapy was considered per patient with no costs from prior (for 2L+) or subsequent therapies limiting the scope of costs for all patients. For inputs such as PFS, median values were reported and subsequently utilized in the BIM. Medians are likely to have right-skewed distributions relative to means which directly represent the entire population. As such, costs may be underestimated as some patients could undergo treatment for a much longer duration than the median PFS and due to asymmetry, patients cannot undergo treatment for a much shorter period than the median PFS. Additionally, a large driver of cost difference occurred due to the gap between median PFS of avelumab and pembrolizumab trial data (used as proxies for treatment duration). This gap may be at least be partly attributed to the differences in populations included in the trials. For instance, the pembrolizumab trial included patients with advanced MCC whereas the avelumab trial included patient with mMCC which likely drives difference in median PFS. Due to limited available data, these trials were used to estimate treatment duration and several SA scenarios were employed to vary these assumptions, test their robustness and evaluate the budget impact with different sets of assumptions. Moreover, increased survival in patients treated with IO agents would also potentially increase the costs related to these patients.

Conclusion

In conclusion, the results of this BIM analysis indicate that providing avelumab for the treatment of mMCC demonstrated a minimal PMPM budget impact to a US health plan. That was in part due to the small number of patients expected to be eligible for treated with avelumab therapy in mMCC, a rare and aggressive condition with poor prognosis. Hence, the addition of avelumab to formularies offers a novel treatment option for patients with only a modest increase in healthcare expenditure.
  38 in total

Review 1.  Chemotherapy of metastatic Merkel cell carcinoma: case report and review of the literature.

Authors:  D Sharma; G Flora; S M Grunberg
Journal:  Am J Clin Oncol       Date:  1991-04       Impact factor: 2.339

2.  Pathologic nodal evaluation improves prognostic accuracy in Merkel cell carcinoma: analysis of 5823 cases as the basis of the first consensus staging system.

Authors:  Bianca D Lemos; Barry E Storer; Jayasri G Iyer; Jerri Linn Phillips; Christopher K Bichakjian; L Christine Fang; Timothy M Johnson; Nanette J Liegeois-Kwon; Clark C Otley; Kelly G Paulson; Merrick I Ross; Siegrid S Yu; Nathalie C Zeitouni; David R Byrd; Vernon K Sondak; Jeffrey E Gershenwald; Arthur J Sober; Paul Nghiem
Journal:  J Am Acad Dermatol       Date:  2010-06-19       Impact factor: 11.527

Review 3.  The clinical effectiveness and cost-effectiveness of topotecan for small cell lung cancer: a systematic review and economic evaluation.

Authors:  E Loveman; J Jones; D Hartwell; A Bird; P Harris; K Welch; A Clegg
Journal:  Health Technol Assess       Date:  2010-03       Impact factor: 4.014

Review 4.  Chemotherapy in neuroendocrine/Merkel cell carcinoma of the skin: case series and review of 204 cases.

Authors:  P T Tai; E Yu; E Winquist; A Hammond; L Stitt; J Tonita; J Gilchrist
Journal:  J Clin Oncol       Date:  2000-06       Impact factor: 44.544

5.  Phase ii comparator study of oral versus intravenous topotecan in patients with chemosensitive small-cell lung cancer.

Authors:  J von Pawel; U Gatzemeier; J L Pujol; L Moreau; S Bildat; M Ranson; G Richardson; C Steppert; A Rivière; I Camlett; S Lane; G Ross
Journal:  J Clin Oncol       Date:  2001-03-15       Impact factor: 44.544

6.  Chemotherapy for patients with locally advanced or metastatic Merkel cell carcinoma.

Authors:  E Voog; P Biron; J P Martin; J Y Blay
Journal:  Cancer       Date:  1999-06-15       Impact factor: 6.860

7.  Comparison of cisplatin-paclitaxel combination versus cisplatin-etoposide in patients with small-cell lung cancer: a Phase III study.

Authors:  John Dimitroulis; Angeliki Rapti; George P Stathopoulos; Sotiris Rigatos; John Stathopoulos; John Koutantos; Athanasios Athanasiadis; Kyriaki Tsikritsaki; Dimitris Karaindros; Kostas Katis; Dimosthenis Antoniou; Michalis Toumbis; Pantelis Giamboudakis
Journal:  Oncol Rep       Date:  2008-10       Impact factor: 3.906

8.  Clonal integration of a polyomavirus in human Merkel cell carcinoma.

Authors:  Huichen Feng; Masahiro Shuda; Yuan Chang; Patrick S Moore
Journal:  Science       Date:  2008-01-17       Impact factor: 47.728

9.  Epidemiology of primary Merkel cell carcinoma in the United States.

Authors:  Maria Agelli; Limin X Clegg
Journal:  J Am Acad Dermatol       Date:  2003-11       Impact factor: 11.527

10.  Phase III study of pemetrexed plus carboplatin compared with etoposide plus carboplatin in chemotherapy-naive patients with extensive-stage small-cell lung cancer.

Authors:  Mark A Socinski; Egbert F Smit; Paul Lorigan; Kartik Konduri; Martin Reck; Aleksandra Szczesna; Johnetta Blakely; Piotr Serwatowski; Nina A Karaseva; Tudor Ciuleanu; Jacek Jassem; Mircea Dediu; Shengyan Hong; Carla Visseren-Grul; Axel-Rainer Hanauske; Coleman K Obasaju; Susan C Guba; Nick Thatcher
Journal:  J Clin Oncol       Date:  2009-08-31       Impact factor: 44.544

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1.  Clinical Outcomes, Costs, and Healthcare Resource Utilization in Patients with Metastatic Merkel Cell Carcinoma Treated with Immune Checkpoint Inhibitors vs Chemotherapy.

Authors:  Ying Zheng; Ting Yu; Rachel H Mackey; Julie A Gayle; Christina L Wassel; Hemant Phatak; Ruth Kim
Journal:  Clinicoecon Outcomes Res       Date:  2021-03-23

Review 2.  Methodological Quality Assessment of Budget Impact Analyses for Orphan Drugs: A Systematic Review.

Authors:  Khadidja Abdallah; Isabelle Huys; Kathleen Claes; Steven Simoens
Journal:  Front Pharmacol       Date:  2021-04-21       Impact factor: 5.810

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