Abstract
BACKGROUND:
Prophylaxis with clotting factor replacement products is recommended by the Medical and Scientific Advisory Council of the National Hemophilia Foundation as the optimal therapy for the prevention of bleeding episodes in individuals with severe hemophilia A or B (< 1 IU per dL endogenous factor VIII or factor IX activity, respectively). Prophylaxis is associated with an improved health-related quality of life and has been shown to be cost-effective compared with on-demand therapy. However, the overall cost of treatment remains high, particularly among patients with a greater propensity to bleed. The overall value of hemophilia treatments and their associated benefits, measured in quality-adjusted life-years (QALYs), and dollar costs compared with other interventions can be evaluated through the use of cost-utility analyses (CUAs). Previous CUA studies in hemophilia have focused primarily on patients with more severe forms of hemophilia and on prophylaxis compared with on-demand treatment. However, to our knowledge, no studies to date have utilized QALYs as a standardized outcome measure to systematically evaluate the relative cost-effectiveness of current hemophilia treatment options.
OBJECTIVE:
To systematically review the CUA literature of hemophilia treatments and demonstrate the challenges in producing cost-utility evidence compared with other rare diseases.
METHODS:
We conducted a systematic literature review using the Tufts Medical Center Cost-Effectiveness Analysis Registry and the National Health Service Economic Evaluation Database for English-language CUAs published from 2000 through 2015 with the search terms hemophilia, haemophilia, factor VIII, or factor IX. Two trained reviewers independently reviewed every study to extract relevant data. Incremental cost-effectiveness ratios were converted to 2014 U.S. dollars using exchange rates for currency conversion and the Consumer Price Index to adjust for inflation.
RESULTS:
Our search yielded 52 studies, 11 of which met our inclusion criteria. The cost-effectiveness of hemophilia treatments varied widely based on variations in the study designs, including differences in time horizon, discount rates, and medical interventions.
CONCLUSIONS:
We found the cost-effectiveness of hemophilia treatments to be broadly comparable to that of other orphan drugs. Improved standardization of future CUA studies will be important for further evaluation of the cost-effectiveness of hemophilia treatments.
What is already known about this subject
Prophylactic therapy for hemophilia has been shown to be cost-effective compared with on-demand therapy; however, the overall cost of treatment remains high, with the average cost of care for patients with hemophilia across different severity levels in the United States reported at almost $200,000.
Because the vast majority of health care costs for patients with hemophilia can be attributed to factor replacement therapy, widespread adoption of prophylaxis replacement therapy in response to the 2007 Medical and Scientific Advisory Council of the National Hemophilia Foundation recommendations has contributed to increased medication costs to payers.
Previous cost-utility analyses examining hemophilia treatments have largely focused on patients with more severe forms of the disease and on comparing prophylaxis with on-demand treatment.
What this study adds
This study systematically reviewed the cost-utility analyses of hemophilia treatments, which showed that the cost utility of hemophilia treatments vary based on the treatment approach, patient characteristics, and disease severity.
The median incremental cost-effectiveness ratios reported across the literature varied by hemophilia type: $86,000 per quality-adjusted life-years (QALY) for studies evaluating hemophilia A treatments, $17,000 per QALY for a single study that evaluated treatment for hemophilia B, and $46,000 per QALY for studies including patients with hemophilia A and B.
Identified estimates of the cost-effectiveness of hemophilia treatments are broadly comparable with those of other orphan drugs.
Orphan disease is a term referring to illnesses that affect only a small number of individuals within a geographic region (prevalence ≤ 50-85 of every 100,000 individuals), although the specific numbers vary widely by country depending on their prevalence criteria for the definition of an orphan disease and their population size.1-3 In the United States, orphan diseases are generally defined as those that affect fewer than 200,000 people.2,3 The number of orphan diseases worldwide is estimated to be between 5,000 and 8,000, and only a small percentage of these have effective treatments available.3
Hemophilia A is a rare, X-linked bleeding disorder that affects approximately 1 of every 5,000 to 10,000 live-born males.4 Hemophilia B is much less common than hemophilia A, with an incidence of approximately 1 in 25,000 births.5 According to a 2016 global survey by the World Federation of Hemophilia, the total number of individuals with hemophilia worldwide was 184,723, including 16,949 within the United States.6 A definitive diagnosis of hemophilia A or B is typically made based on an established family history and/or patients’ presentation of a bleeding event that has been confirmed by laboratory tests to be the result of coagulation factor deficiency.7 The clinical presentations of hemophilia A and B are indistinguishable, and the bleeding tendencies associated with each disorder tend to correlate directly with plasma concentrations of factor VIII (FVIII) and factor IX (FIX), respectively. Clotting factor levels of 5 to 40 IU per dL confer mild hemophilia; factor levels of 1 to 5 IU per dL are considered moderate, while factor levels < 1 IU per dL define severe hemophilia.8,9 Severe hemophilia is characterized by spontaneous, recurrent bleeding into joints (hemarthrosis) and muscles.10 In subjects with severe hemophilia, hemarthrosis accounts for approximately 80% of all bleeding episodes.9,11,12 Over time, recurrent bleeding into the same joint leads to irreversible bone and cartilage damage, culminating in disabling hemophilic arthropathy.13,14
In addition, patients with severe hemophilia are at increased risk for developing high-affinity inhibitory antibodies (inhibitors) directed against FVIII or FIX, which neutralize the protective, coagulant effects of factor replacement therapy—the mainstay treatment for individuals with hemophilia.15 Overall, the prevalence of inhibitors among patients with mild and moderate hemophilia A or B is relatively low (9% and 3%, respectively); however, in patients with severe hemophilia, the incidence of inhibitors increases to as much as one-third in hemophilia A and 5% in hemophilia B.15,16 The development of FIX inhibitors in hemophilia B gives rise to mild to severe allergic reaction during administration of FIX.15,16
Treatment for hemophilia A or B involves routine administration of exogenous coagulation factors to replace the missing/deficient endogenous FVIII or FIX, respectively.4,7 The conventional treatment approach for hemophilia was on-demand (after the onset of bleeding) factor replacement; however, primary prophylaxis with replacement clotting factors has since become the standard of care for patients with severe hemophilia due to increasing evidence that this approach is associated with improved joint outcomes, decreased physical pain, and a better health-related quality of life (QOL) compared with on-demand therapy.17-19 In addition, prophylactic therapy has been shown to be cost-effective compared with on-demand therapy; however, the overall cost of treatment remains high, particularly among patients with more severe forms of hemophilia.20-22 A recent prospective, observational study (N = 222) that examined the cost of care among people with mild to severe hemophilia A in hemophilia treatment centers in the United States found that the average annual direct costs for all individuals without inhibitors (n = 212) was $185,256 per patient (in 2011 U.S. dollars [USD]).22 Ninety-two percent of the total direct medical costs and 80% of the overall costs were attributable to factor replacement therapy. The 2007 recommendation by the Medical and Scientific Advisory Council of the National Hemophilia Foundation that prophylaxis be considered optimal therapy for individuals with severe hemophilia A or B has also contributed to increased medication costs to payers due to the widespread adoption of prophylaxis replacement therapy.23,24 In a retrospective analysis of a U.S. health insurance claim database, the mean annual cost per patient in 2013 for individuals with hemophilia A and B was $206,027 and $179,747 (in 2012 USD), respectively.23 Approximately 25%-30% of patients with hemophilia A develop inhibitors to FVIII, while only 4%-6% of patients with hemophilia B develop inhibitors.22 The treatment cost for patients with inhibitors is even higher, with annual costs exceeding $400,000 (in 2000 USD).25,26 Patients who develop inhibitors can be treated using immune tolerance therapy (ITT) or immune tolerance induction (ITI). ITI includes treating patients with frequent, sometimes extremely high, doses of repeated infusions of factor concentrates to eradicate inhibitors.4,27,28 The purpose of this form of treatment is to significantly reduce the presence of antibodies to the factor con-centrates.27 Costs for ITI can exceed over $1 million for patients with a good prognosis and can exceed more than $4 million for patients with a poor prognosis (costs in 2000 USD).29
Pharmacoeconomic evaluations of treatment options in hemophilia can be performed in several different ways depending on the outcomes that are being measured. Cost-effectiveness analysis (CEA) is a technique used to measure the value of alternative health care interventions (e.g., primary prophylaxis vs. episodic treatment).30 CEAs examine costs and consequences of different medical interventions or programs relative to competing alternatives, helping decision makers prioritize certain interventions within a given budget.31 Alternatively, cost-utility analysis (CUA), a type of CEA, reports the value of health care interventions as incremental costs and incremental health benefits, measured in quality-adjusted life-years (QALYs), compared with alternative therapeutic approaches. The QALY is a standardized metric to measure health benefits, as it integrates QOL and survival gains. Previous cost-utility studies have focused on patients with severe hemophilia, prophylaxis compared with on-demand therapy, and specific treatments for targeted populations.21,32,33 This study systematically evaluated relative cost-effectiveness of hemophilia treatments using QALYs, a standardized health outcome measure.
The purpose of this study was to provide a systematic review of the CUA literature for hemophilia and demonstrate the challenges in producing cost-effectiveness evidence for hemophilia treatments compared with treatments for other rare diseases.
Methods
Search Strategy
We conducted a systematic literature review using the Tufts Medical Center CEA Registry (www.cearegistry.org) and the National Health Service Economic Evaluation Database for English-language CUAs published from 2000 through 2015. The CEA Registry contains 5,000 English-language CUAs, with more than 13,400 standardized incremental cost-effectiveness ratios (ICERs) and 19,500 utility weights. The CEA Registry uses keywords such as QALYs, quality adjusted, and cost-utility analysis to search PubMed for English-language publications. Two trained reviewers independently reviewed every study to extract relevant data. Detailed information on the search strategy and data extraction for the CEA Registry is reported elsewhere.34,35 ICERs were converted to 2014 USD using exchange rates for currency conversion and the Consumer Price Index to adjust for inflation.
Sample Selection and Data Analysis
The search terms used to identify CUAs on hemophilia were hemophilia, haemophilia, factor VIII, or factor IX. Any reviews, meta-analyses, commentaries, or studies not reporting an original cost-per-QALY estimate for hemophilia treatment were excluded. CUAs were reviewed to summarize information on target population, intervention type, study sponsor, time horizon, study perspective, modeling approach, discount rate, and cost-effectiveness threshold. We calculated median ICERs by hemophilia type and treatment approach. The consort diagram describes the search strategy and sample selection process (Figure 1).
FIGURE 1.

Search Strategy and Sample Selection Process
Results
Our search yielded 52 studies, 11 of which met our inclusion criteria (Table 1). Studies were most often set in the United Kingdom (n = 6), followed by Sweden (n = 2) and the United States (n = 2); other countries included were Italy, Iran, Thailand, and Germany. All CUAs evaluated pharmaceutical treatments. Eight studies estimated cost-effectiveness using a Markov model, incorporating health states that accounted for patients with and without inhibitors, patients requiring major surgery, and patients with major and minor bleeding events. Markov models are used in decision analysis, commonly for economic evaluations of medical interventions. They consist of different health states representing the consequences of the intervention in the disease under consideration. Cohorts of patients transition between the disease states depending on the transition probabilities and the cycle length stated in the model. They are useful for modeling chronic diseases. Five studies used 1-year Markov cycles, and 3 studies used 3-month Markov cycles.
TABLE 1.
CUA Studies in Hemophilia by Methodological Approach
| Study | Country | Funder | Perspective (Resource Use/Costs) | Study Design | Time Horizon | Discounting | CE Threshold | Health States for Markov Model | Cycle Length |
|---|---|---|---|---|---|---|---|---|---|
| Ekert et al. (2001)51 | Australia | Pharmaceutical company, Novo Nordisk | Health care payer (medication, other health care services [e.g., pediatrician consultations, emergency room visits, inpatient stays]) | Longitudinal study | 18 months | Costs: none QALYs: none |
Not stated | Not applicable | Not applicable |
| Miners et al. (2002)38 | United Kingdom | Not stated | Societal (surgery, medications [clotting factors], outpatient visits, inpatient visits, day-case visits, productivity losses) | Markov model | Lifetime | Costs: 6% QALYs: 6% |
Not stated | Alive, requiring major surgery, surgery, dead | 1 year |
| Knight et al. (2003)52 | United Kingdom | Government, DHSC, London, Research and Development | Health care payer (hemostatic agents, inpatient stay, arthropathy treatment) | Markov model | Lifetime | Costs: 6% QALYs: 1.5% |
£30,000 | Hemophilia A with inhibitor level BU ≥ 10 (high responders), hemophilia A with inhibitor level BU < 10 (low responders), hemophilia A without inhibitors. The complications associated with each health state are minor bleeds, major bleeds, arthropathy, death | 3 months |
| Lippert et al. (2005)32 | Germany, the Netherlands, Sweden, United Kingdom | Pharmaceutical company, Aventis Behring | Health care payer (medication [anti-coagulation factor], hospitalization, outpatient treatment) | Decision-tree model | 1 year | Costs: NA QALYs: NA |
Not stated | Not stated | Not applicable |
| Risebrough et al. (2008)33 | Canada | Pharmaceutical company, Bayer | Societal (FVIII, professional visits and tests, central venous placement/complications, hospitalization, home programs, parents’ lost work days) | Markov model | 5 years | Costs: 3% QALYs: 3% |
Not stated | Development of up to 3 target joints (3 bleeds in a joint over 3 months) | 3 months |
| Miners et al. (2009)39 | United Kingdom | Pharmaceutical company, Baxter Healthcare | Health care payer (clotting factor, outpatient and inpatient stays) | Markov model | Lifetime (70 years) | Costs: 3.5% QALYs: 3.5% |
£30,000, £40,000, £100,000 | Alive, year prior to major surgery, year in which major surgery is undertaken, dead (same model as Miners et al., 200238) | 1 year |
| Rasekh et al. (2011)53 | Iran | University, Shahid Beheshti University of Medical Sciences | Health care payer (clotting factors) | Markov model (based on Knight et al.52) | 10 years | Costs: none QALYs: none |
Not stated | Hemophilia A with inhibitor level BU ≥ 10 (high responders), hemophilia A with inhibitor level BU < 10 (low responders), hemophilia A without inhibitors. The complications associated with each health state are minor bleeds, major bleeds, arthropathy, death | 3 months |
| Colombo et al. (2011)20 | Italy | Pharmaceutical company, Pfizer | Health care payer (recombinant plasma/albumin-free, hospitalizations for bleedings or examinations, hospitalizations for major surgery) | Markov model | Lifetime (70 years) | Costs: 6% QALYs: not stated |
€36,500, €60,000, €25,000-€40,000 | Alive, requiring major surgery, surgery, dead | 1 year |
| Farrugia et al. (2013)21 | United States, United Kingdom, Sweden | Pharmaceutical company (multiple sources, unclear) | Health care payer (FVIII, prothrombin complex concentrate, orthopedic surgery) | Markov model | Lifetime (100 years) | Costs: 3% (U.S. and Sweden), 3.5% (U.K.) QALYs: 3% (U.S. and Sweden), 1.5% (U.K.) |
£30,000, $50,000-$200,000 | Alive, no inhibitors; alive with inhibitors; dead. Also, on-demand arm includes orthopedic surgery and major bleeding events | 1 year |
| Pattanaprateep et al. (2014)54 | Thailand | Foundation, HITAP | Health care payer (factor concentrate costs at home, emergency surgery; life-threatening operations; and other hospital treatments, such as blood components; medical supplies; costs for laboratory tests, room, doctor fee) | Markov model | Lifetime | Costs: 3% QALYs: 3% |
Thai baht 120,000 | Well, life-threatening bleeding (hemorrhage or bleeding leading to death, or requiring prompt hospital intervention), emergency surgery (surgical procedure that risks bleeding), death | 1 year |
| Earnshaw et al. (2015)55 | United States | Pharmaceutical company, Grifols | Health care payer (drug costs, factor inhibitor test, hospitalization, arthopathy surgery, inhibitor monitoring) | Decision tree | Lifetime | Costs: 3% QALYs: 3% |
$50,000 $100,000 | Inhibitors < 10 BU, inhibitors > 10 BU, successful primary ITI, primary ITI, successful secondary ITI, failure of secondary ITI | Not applicable |
BU = Bethesda unit; CE = cost-effectiveness; CUA = cost-utility analysis; DHSC = Department of Health and Social Care; FVIII = factor VIII; HITAP = Health Intervention and Technology Assessment Program; ITI = immune tolerance induction; NA =not applicable; QALY = quality-adjusted life-year; U.K. = United Kingdom; U.S. = United States.
The majority of CUAs discounted both costs (73%) and QALYs (64%). The most common discount rates used were 3% (n = 4) and 6% (n = 3) for costs and 3% (n = 4) for QALYs. A lifetime time horizon was most commonly applied (7 CUAs). Nine CUAs were performed using a health care perspective (direct medical costs included those for clotting factors, hospitalizations, tests, consultations), and 2 CUAs were performed using a societal perspective (productivity losses were additionally accounted for). Six CUAs compared estimated ICERs with a cost-effectiveness threshold; the most commonly used threshold was £30,000 (approximately $50,000), which was used in 3 studies.
Estimated Cost-Effectiveness
Eight CUAs evaluated hemophilia A treatments, 1 CUA evaluated hemophilia B treatment, and 3 did not differentiate between hemophilia A and B (Table 2). In studies that did not differentiate between patients with hemophilia A and B, patients were predominantly suffering from hemophilia A. Eight CUAs included treatments for patients with severe hemophilia A, and 4 studies included patients with inhibitors. The studied target populations included male patients at birth or aged ≤ 2 years, as well as adolescents (aged 11-17 years) and adolescents/adults (aged ≥ 14 years).
TABLE 2.
CUA Studies in Hemophilia by QALY and ICER Outcome Measures
| Study | Patient Population | Intervention vs. Comparator | Country, Currency Year | Incremental Costs in Year and Currency Stated in Study | Incremental QALYs | ICER in Year and Currency Stated in Study (USD 2014) | |
|---|---|---|---|---|---|---|---|
| Hemophilia Type | Age and Other Comorbidities | ||||||
| Hemophilia A | |||||||
| Miners et al. (2002)38 | Severe hemophilia A/severe von Willebrand’s disease | At birth | Prophylaxis vs. on-demand management | United Kingdom, 2000 (pound) | 694,070 | 3.340 | 46,500 (96,000)a |
| Knight et al. (2003)52 | Severe hemophilia A with high-responding inhibitors | 2 years | Bonn (high-dose) ITI protocolb vs. on-demand management with APCC and pFVIII | United Kingdom, 2000 (pound) | 1,177,144 | 7.900 | 147,785 (308,000) |
| Low-dose ITI protocolc vs. on-demand management with APCC and pFVIII | 223,949 | 4.000 | 55,922 (116,000) | ||||
| Malmo ITI protocold vs. on-demand management with APCC and pFVIII | -137,708 | 3.000 | Dominant | ||||
| Bonn (high-dose) ITI protocolb vs. on-demand management with rFVIIa | 1,360,408 | 7.900 | 170,793 (355,000) | ||||
| Low-dose ITI protocolc vs. on-demand management with rFVIIa | 327,306 | 4.000 | 81,731 (169,000) | ||||
| Malmo ITI protocold vs. on-demand management with rFVIIa | -60,453 | 3.000 | Dominant | ||||
| Risebrough et al. (2008)33 | Severe hemophilia A (FVIII < 2 IU/dL) | 1 year | Tailored prophylaxis (escalating dose)e vs. on-demand therapy (40 IU/kg upon presentation of bleeding and 20 IU/kg on Days 1 and 3 postbleed) | Canada, 2003 (Canadian dollars) | 165,976 | 0.300 | 542,938 (500,000) |
| Standard prophylaxis (FVIII 25 IU/kg thrice weekly) vs. on-demand therapy (40 IU/kg upon presentation of bleeding and 20 IU/kg on Days 1 and 3 postbleed) | 292,626 | 0.310 | 943,954 (869,000) | ||||
| Miners et al. (2009)39 | Severe hemophilia A | At birth | Prophylactic treatment vs. on-demand treatment with FVIII | United Kingdom, 2007 (pound) | 214,000 | 5.630 | 38,000 (86,000) |
| Rasekh et al. (2011)53 | Severe hemophilia A with high-titer inhibitors | 2 years | Bonn (high-dose) ITI protocolb vs. on-demand treatment with rFVIIa | Iran, 2011 (U.S. dollars) | -676,598 | 7.900 | Dominant |
| Low-dose ITI protocolf vs. on-demand treatment with rFVIIa | -3,961,598 | 4.000 | Dominant | ||||
| Malmo ITI protocold vs. on-demand treatment with rFVIIa | -1,898,618 | 3.000 | Dominant | ||||
| Colombo et al. (2011)20 | Severe hemophilia A | At birth | Primary prophylaxis with FVIII concentrates vs. on-demand treatment with FVIII infusions | Italy, 2010 (euro) | 787,420 | 19.570 | 40,236 (58,000) |
| Secondary prophylaxis with FVIII concentrates vs. on-demand treatment with FVIII infusionsg | 770,140 | 19.140 | 40,229 (58,000) | ||||
| Hybrid regimen with FVIII concentrates vs. on-demand treatment with FVIII infusionsh | 421,734 | 3.540 | 119,134 (170,000) | ||||
| Farrugia et al. (2013)21 | Severe hemophilia A | At birth | Prophylaxis every 2 days vs. on-demand therapy | United States, 2011 (U.S. dollars) | 412,999 | 6.060 | 68,109 (71,000) |
| United Kingdom, 2011 (pound) | -280,866 | 9.690 | Dominant | ||||
| Sweden, 2011 (Swedish krona) | 5,331,051 | 10.990 | 484,888 (78,000) | ||||
| Daily prophylaxis dosing vs. on-demand therapy | Sweden, 2011 (Swedish krona) | -10,541,993 | 10.990 | Dominant | |||
| Earnshaw et al. (2015)55 | Severe hemophilia A with inhibitors | Infant | Prophylaxis every 2 days vs. on-demand therapy | United States, 2014 (U.S. dollars) | -1,637,240 | 9.9 | Dominant |
| Daily prophylaxis dosing vs. on-demand therapy | -23,201,543 | 4.3 | Dominant | ||||
| Hemophilia B | |||||||
| Miners et al. (2002)38 | Severe hemophilia B | At birth | Prophylaxis with clotting factors vs. on-demand with clotting factors | United Kingdom, 2000 (pound) | 133,818 | 3.340 | 8,600 (17,000)a |
| Hemophilia A and B | |||||||
| Ekert et al. (2001)51 | Hemophilia A (n = 5) and B (n = 1) with long-standing inhibitors | 11-17 years | Prophylaxis with rFVIIa vs. on-demand usual care | Australia, 1999 (Australian dollars) | 29,901 | 0.580 | 51,553 (46,000) |
| Lippert et al. (2005)32 | Severe hemophilia A (84%) and B (16%), without inhibitors | ≤ 30 years, HIV positive | Prophylaxis with clotting factors vs. on-demand management | Germany, the Netherlands, Sweden, United Kingdom, 2002 (euro) i | 83,100 | 0.059 | 1,408,474 (1,750,000) |
| > 30 years, HIV positive | 96,337 | -0.030 | Dominated | ||||
| ≤ 30 years, HIV negative | 83,100 | 0.033 | 2,518,181 (3,130,000) | ||||
| > 30 years, HIV negative | 96,337 | 0.019 | 5,070,368 (6,304,000) | ||||
| Pattanaprateep et al. (2014)54 | Mild hemophilia A and B (with no inhibitor or < 5 BU) | At birth | Home-based care: FVIII and FIX concentrate for treating early bleeding episodes vs. treatment with blood components when admitted | Thailand, 2012 (Thai baht) | 227,377 | 2.820 | 80,542 (2,600) |
| Moderate hemophilia A and B (with no inhibitor or < 5 BU) | -2,460,872 | 5.970 | Dominant | ||||
| Severe hemophilia A and B (with no inhibitor or < 5 BU) | -5,718,732 | 8.400 | Dominant | ||||
a ICER stated in the study. The reported ICER is different from the ICER obtained by dividing incremental costs and QALYs stated in the study.
b Bonn (high-dose) ITI protocol with 300 IU per kg per day of rFVIII to eradicate inhibitors plus use of FVIII to control bleeds.
c Low-dose ITI protocol with 50 IU per kg per day of rFVIII to eradicate inhibitors plus use of FVIII to control bleeds.
d Malmo ITI protocol with plasmapheresis and 207 IU per kg per day of rFVIII to eradicate inhibitors plus use of FVIII to control bleeds.
e Tailored prophylaxis (escalating dose) beginning at a low frequency (FVIII 50 IU per kg once weekly) and escalating with repeated bleeding (maximum of FVIII 30 IU per kg twice weekly).
f Low-dose ITI protocol with 25 IU per kg per day of rFVIII to eradicate inhibitors plus use of FVIII to control bleeds.
g Secondary prophylaxis with FVIII concentrates (on-demand treatment up to 2 years followed by prophylaxis).
h Hybrid regimen with FVIII concentrates (initially receive prophylaxis until 18 years of age and then switch to treatment on-demand).
i Cost estimates are averaged across 4 countries stated in the study.
APCC = activated prothrombin complex concentrate; BU = Bethesda unit; FVIII = factor VIII; FIX = factor IX; HIV = human immunodeficiency virus; ICER = incremental cost-effectiveness ratio; ITI = immune tolerance induction; pFVIII = porcine factor VIII; QALY = quality-adjusted life-year; rFVIIa = recombinant activated factor VII; rFVIII = recombinant factor VIII; USD = U.S. dollars.
Among the available therapeutic approaches for hemophilia, the CUAs studied prophylactic treatment or on-demand therapy with clotting factors, such as FVIII, recombinant FVIII (rFVIII), or factor VIIa (FVIIa) for hemophilia A; activated pro-thrombin complex concentrates (APCC); and ITI with rFVIII to eradicate inhibitors plus FVIII to control bleeds and FIX for hemophilia B. All studies compared prophylactic treatment or ITI to on-demand therapy. There was large variation in the interventions reported in the CUAs, including different protocols for ITI, different frequencies of prophylaxis (daily and every 2 days), or combination of on-demand and prophylaxis with changes in the treatment pattern.
We identified 29 ICERs across 11 CUAs, which pertained to different country settings, treatment approaches, and patient populations. The median ICER for prophylactic treatment compared with on-demand treatment was $86,000 per QALY for severe hemophilia A (range, dominant [i.e., more effective and less costly than the included comparator] to $869,000 per QALY), $17,000 per QALY for hemophilia B, and $46,000 per QALY for studies that included patients with hemophilia A and B (range, dominant to $6,304,000 per QALY). Three studies evaluated the cost-effectiveness of ITI for patients with hemophilia A with inhibitors compared with on-demand therapy with recombinant-activated FVIIa (rFVIIa); Knight et al. (2003) reported a median ICER of $169,000 per QALY (range, dominant to $355,000 per QALY),52 and Rasekh et al. (2011) and Earnshaw et al. (2015) reported that ITI was a dominant strategy compared with on-demand treatment.53,55 Of the treatment regimens reviewed, treating hemophilia patients with inhibitors was reported to be the most cost-effective. The CUAs evaluated 3 ITI regimens for inhibitor eradication—Bonn protocol, low-dose protocol, and Malmo protocol. It was reported that all ITI protocols were dominant when compared with on-demand regimen. Among the limited number of studies that evaluated different ITI protocols compared to on-demand, the Malmo ITI protocol (extracorporeal immunoadsorption with protein A columns to remove high-titer inhibitory antibodies and rFVIII to eradicate inhibitors plus FVIII to control bleeds) was reported to be dominant (cost-saving) between Bonn ITI and low-dose ITI. Four studies evaluated the cost-effectiveness of prophylaxis treatment in patients with hemophilia with inhibitors, and the median ICER was $23,000 per QALY (range, dominant to $355,000 per QALY). Studies sponsored by pharmaceutical industries (CUAs, n = 4) reported a median ICER of $72,000 per QALY for severe hemophilia A.
Sensitivity Analyses
Only 4 of 10 (40%) studies performed probabilistic sensitivity analyses. In 1-way sensitivity analyses, the majority of studies reported the ICERs to be influenced by the cost of the clotting factors and the use/number of doses followed by discount rate. Other factors influencing the ICER were dosage of clotting factors, number of bleeds, and QOL values.
Discussion
The majority of reviewed studies were set outside the United States (82%), most often in the United Kingdom (55%) and Sweden (18%), and more than half of the studies were published from 2009 through 2015. Hemophilia A was the most studied disease type (73%). The majority of studies (64%) were funded by the studied product’s manufacturer. Treating hemophilia B was found to be more cost-effective compared with hemophilia A. Treatments for severe hemophilia A were associated with the highest cost-effectiveness ratios, with a median ICER of $86,000 per QALY gained. Of patients with hemophilia A, those with high-titer inhibitors were those for whom treatment was estimated to be most cost-effective. Furthermore, patients treated with ITI were estimated to survive longer, with a reduction in the number of bleeding episodes and a corresponding increase in QALYs. The lifetime costs of patients treated with ITI were also estimated to be lower than those treated with on-demand therapies, leading to a more favorable cost-effectiveness ratio.
Variation in Reported ICERs
We found that the included CUAs reported a wide range of cost-utility ratios, from dominant to more than $6 million per QALY. The median ICERs reported across the studies varied by hemophilia type: $86,000 per QALY for studies evaluating severe hemophilia A treatment; $17,000 per QALY for the study that evaluated hemophilia B treatments; and $46,000 per QALY for studies including both patients with hemophilia A and B. Studies evaluating the cost-effectiveness of ITI for patients with inhibitors reported a wide range of ICERs compared with on-demand treatment (median ICERs in studies ranged from dominant to $169,000 per QALY). CUAs examined a wide range of interventions—comparing different patterns of on-demand and prophylaxis treatments; tailored dosing of rFVIII; and dose modification of rFVIII in ITI to eradicate inhibitors and control bleeds. Also, 3 of 11 CUAs did not provide separate ICERs for patients with hemophilia A and hemophilia B. We note that the majority of industry-funded studies evaluated the cost-effectiveness of different dosing patterns and frequency of FVIII administration compared with on-demand therapy. The lack of consistency in the reported interventions makes it difficult to generalize the ICERs.
Factors Explaining Variation in the Reported ICERs
Study Perspective, Discounting, Time Horizon, and Study Sponsorship.
We found that the majority of CUAs were conducted from a health care perspective and that the included studies applied different discount rates and time horizons. The application of different discount rates has the potential to impact cost-effectiveness estimates, particularly when the intervention has a preventive effect, as seen for prophylaxis regimens. The time horizons reported in the CUAs varied from 18 months to lifetime; the majority of CUAs reported a lifetime horizon. Sixty percent of the CUAs included in the sample were sponsored by product manufacturers. Evidence suggests that studies supported by industry tend to report more favorable ICERs than those not supported by industry.36 However, due to the small number of included studies, we were unable to compare the ICERs reported in industry- and nonindustry-funded studies.
Costs of Clotting Factors.
Clotting factors have been estimated to account for approximately 90% of the direct health care costs for hemophilia management.37,38 We found that clotting factor cost varied in the identified studies, in part due to the different countries in which the studies were set.30 Also, disease severity dictates the amount and duration of clotting factors required for treatment; for instance, patients with severe hemophilia A require lifelong routine treatment, resulting in higher costs.39 Differences in unit costs and dosing regimens included in this analysis may also have affected the estimated ICERs. For example, Farrugia et al. (2013) reported the cost of FVIII (per µg) as £0.61 in the United Kingdom, $0.95 in the United States, and Swedish krona (SEK) 5.88 in Sweden,21 whereas Earnshaw et al. (2015) reported the cost of FVIII (per µg) as $1.53.55 In another example, the cost of orthopedic surgery varied across different countries (£745,065 in the United Kingdom, $1,245,995 in the United States, and SEK 8,372,742 in Sweden), while in another study, the cost of arthropathy surgery was $41,800.21,55
Utility Weight Estimation.
QALYs account for both length and quality of life. Weighting survival with a utility score for the particular health state incorporates QOL into the QALY calculation. There are various approaches to estimating utility weights—including direct elicitation methods, such as standard gamble, as well as time trade-off and indirect measurement methods, such as EuroQoL 5-Dimension and Short Form-36. Research has found that these methods can provide different results. For instance, research has found that the standard gamble approach often results in higher utility values compared with other approaches.40 However, other evidence suggests that incorporating alternative utility values into CEAs does not substantially alter study findings.41,42 In the present review, we found that the approaches used to elicit utility weights were poorly reported in the reviewed CUAs. Authors did not clearly state the measurement scale or the elicitation method used for each utility weight reported. Also, there was no information available on the sample population used.
Recommendations for Future Research
As a result of variations among the CUAs studied here, a consensus could not be reached on the cost-effectiveness of hemophilia treatments. Various guidelines for performing and reporting cost-effectiveness studies are currently available, and the recently released update on the U.S. panel of cost-effectiveness may reduce this variation and lead to greater standardization in the field.43
Further research on the cost-effectiveness of hemophilia treatments is needed. We found that treatments for hemophilia B were less well studied than treatments for hemophilia A and that many studies did not differentiate between hemophilia types when reporting cost-effectiveness.
The CUAs included in this review generally accounted for joint bleeds and their consequences, likely because they are the most common and easily quantifiable complications of hemophilia. Future studies should also account for other rare but costly complications, such as bleeding into the central nervous system, the gastrointestinal tract, and the renal system.44 Accounting for these clinical complications in the model or clinical trial will provide a more accurate estimate of cost-effectiveness.
Limitations
Our study has a number of important limitations. By limiting our systematic review to CUAs, we did not include studies reporting cost-effectiveness in terms of clinical endpoints (e.g., the cost per bleeding episode avoided) or studies reporting cost-effectiveness in terms of the cost per life year gained.
Because a number of studies combined patients with hemophilia A and B in the study patient population, our findings were limited. Generalizing study findings to both patient populations may be misleading, as the prevalence and costs associated with hemophilia A and B treatment vary considerably, with hemophilia A estimated to be associated with higher annual costs.45
The number of identified studies was insufficient to allow us to stratify the dataset. A larger sample would have allowed for a comparison of ICERs for patients with and without inhibitors, for patients suffering from comorbidities and infections with those who were not, and by hemophilia type. Furthermore, there was lack of consistency across the reported interventions (from daily prophylaxis to different ITI regimens), making it difficult to generalize the ICERs. Most of the CUAs were based on populations outside of the United States, which made it difficult to understand the implication on U.S. health care costs.
This study does not include the effect of treatment on productivity of patients (work or school absenteeism, presenteeism, income loss) and caregivers (unpaid hemophilia-related support) or other spillover costs in sectors like education or consumption costs from patients living longer. The Second Panel on Cost-Effectiveness in Health and Medicine recommends incorporating a societal perspective while conducting cost-effectiveness analyses.43
This systematic review did not include CUAs for the recently approved FDA drugs (long-acting factors).
Comparison of Study Findings to Systematic Reviews of CEAs of Orphan Drugs or Rare Diseases
We attempted to compare our findings with reviews of the cost-effectiveness of other rare diseases—diseases defined as having a prevalence of 5 or less out of 10,000 individuals in the European Union and diseases that affect fewer than 200,000 individuals in the United States2,3,46—but only identified a single study that reviewed the cost-effectiveness of orphan drugs in cancer. In a systematic review of oncology orphan drugs, Cheng et al. (2012) identified 21 cost-effectiveness studies for 47 oncology orphan drugs.47 Included among these cost-effectiveness studies were 14 CUAs, which reported ICERs up to roughly $240,000 per QALY.47 Our findings suggest that the cost-effectiveness of hemophilia treatments compare favorably to treatments for other orphan diseases.
Considering the Value of Orphan Drugs
Because of the rarity of disease and high treatment costs, it has been suggested that a different cost-effectiveness threshold should apply to orphan drugs. However, a consensus on how this value should be calculated is unclear.48 Another suggested approach is to apply “equity weights” based on disease prevalence to health outcomes in cost-effectiveness analyses.49 Guidance issued by the National Institute of Health and Care Excellence (NICE) in the United Kingdom suggests that weighting outcomes, for example, for end-of-life care, is an approach that allows for societal preferences to be accounted for in cost-effectiveness analyses. However, this approach has not yet been applied to orphan drugs.50
A greater understanding of how to value hemophilia treatments may be important when assessing the value of future novel therapies (e.g., gene therapy). Recent experience with hepatitis C treatments has shown that despite being curative for some patients, their high cost can make them unaffordable for many. Ultimately, health care systems will need to devise new mechanisms to control costs and provide access to highly effective therapies.
Conclusions
The cost-effectiveness of hemophilia treatments varied based on the treatment approach, patient characteristics, and disease severity. Identified estimates of the cost-effectiveness of hemophilia treatments are broadly comparable to those of other orphan drugs.
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