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PharmacoEconomics - Open

, Volume 2, Issue 1, pp 53–61 | Cite as

Assessing Variation in the Cost of Palivizumab for Respiratory Syncytial Virus Prevention in Preterm Infants

  • Ahva Shahabi
  • Desi Peneva
  • Devin Incerti
  • Kimmie McLaurin
  • Warren Stevens
Open Access
Original Research Article

Abstract

Background

The variability in cost of palivizumab treatment, indicated for prevention of respiratory syncytial virus (RSV) infections in high-risk infants, has not been robustly estimated in prior studies. This study aimed to determine the cost variations of palivizumab from a US payer perspective for otherwise healthy preterm infants born 29–35 weeks gestational age (wGA) using infant characteristics and applied dosing regimens.

Methods

Fenton Growth Charts were merged with World Health Organization Child Growth Standards to estimate preterm infant growth patterns. The merged growth chart was applied to infants who received palivizumab from a prospective, observational registry to determine future body weight using each infant’s wGA and birth weight. Using quarter 3 (Q3) 2016–Q2 2017 vial cost, treatment costs at monthly dosing intervals were estimated using expected weights and averaged by age to derive expected mean 2016–2017 RSV seasonal costs per infant under various dosing scenarios.

Results

Given different dosing scenarios (two to five doses), birth month, and growth patterns for preterm infants 29–35 wGA, the estimated average 2016–2017 seasonal cost of palivizumab treatment ranged from $3221 to $12,568. Outpatient-only cost (excluding first dose at hospital discharge) ranged from $1733 to $11,862. The main drivers of costs were dosing regimen (74% of variance), dosing interacted with birth month (17%), and wGA (6%).

Conclusion

The considerable variability in the average cost of palivizumab treatment for preterm infants is driven by choice of dosing regimen, wGA, and birth month. Therefore, when estimating the cost of palivizumab, it is important to consider both infant characteristics at each dose and potential dosing regimens.

Key Points for Decision Makers

Without accounting for heterogeneity in patient characteristics and potential dosing regimens, previous cost-effectiveness studies may not have accurately represented the real-world cost of palivizumab treatment.

The considerable variability in the average cost of palivizumab treatment for otherwise healthy preterm infants born 29–35 weeks gestational age is mainly driven by the total number of doses an infant receives (dosing regimen), the infant’s birth month relative to the respiratory syncytial virus season, weeks gestational age at birth, and weight-for-age at each dose administration.

Future studies evaluating the cost of palivizumab should consider both weight-for-age at dosing and potential dosing regimens in order to provide more accurate assessments of palivizumab cost-effectiveness.

1 Introduction

Respiratory syncytial virus (RSV) is the most common cause of acute lower respiratory tract infection and hospitalization due to severe infection in young children [1]. In particular, preterm infants are at increased risk of experiencing severe RSV-related complications leading to hospitalization and increased morbidity and mortality, compared with full-term infants [2, 3].

Palivizumab, a humanized monoclonal antibody, is indicated for the prevention of serious lower respiratory tract disease caused by RSV in preterm and other high-risk infants [4], and can reduce overall burden of disease by preventing severe symptoms and reducing hospitalizations in high-risk populations. The American Academy of Pediatrics (AAP) provides continuously revised RSV immunoprophylaxis guidance regarding infant groups recommended to receive palivizumab, including timing of administration and number of doses [5]. Concerns regarding the cost of palivizumab have led to recommendations against its use in some Food and Drug Administration (FDA)-approved patient populations. For example, in 2009, infants born 32–34 weeks gestational age (wGA) were recommended to receive palivizumab only when younger than 3 months of age, with a maximum of three doses [6]. The 2014 AAP guidance update endorsed further restrictions in use and recommended against palivizumab for all preterm infants born 29–34 wGA without chronic lung disease or congenital heart disease [5]. This update instead recommended prophylaxis for infants born before 29 wGA, preterm infants with chronic lung disease, and certain infants with hemodynamically significant congenital heart disease in the first year of life. This study focuses on the treatment cost of otherwise healthy preterm infants born 29–35 wGA affected by the aforementioned changes to the 2014 AAP recommendations.

To date, studies examining the cost-effectiveness of palivizumab used a single estimate of infant weight, such as an average weight, and complete dosing of five doses per infant to calculate treatment costs [8, 9, 10, 11]. As a result, costs for palivizumab reported in previous studies may not accurately reflect the real world; multiple factors not considered in these studies can influence the average cost, including changing weight for an infant between times of administration. Because the FDA-approved dosing is 15 mg/kg of body weight administered monthly throughout the RSV season for up to five doses, an infant’s body weight at the time of administration is a key component. Furthermore, physicians may use different dosing regimens in clinical practice or may need to limit the number of doses per infant due to payer restrictions [7].

The heterogeneity among infants receiving palivizumab and dosing regimens contribute to variability in the cost of palivizumab. Patient heterogeneity has become an increasingly important topic in cost-effectiveness analyses over the past few years [12, 13], as variance in context and effectiveness has been shown to have a considerable influence on published cost-effectiveness estimates. This variability has led policymakers to consider more context-specific approaches when assessing the value of new technologies [14]. Without accounting for heterogeneity in patient characteristics and dosing regimens, cost-effectiveness models may not accurately represent the real-world cost of palivizumab. This study aimed to assess the variations in the cost of palivizumab treatment among otherwise healthy preterm infants 29–35 wGA for the 2016–2017 RSV season, based on infant characteristics and different dosing regimens to capture variations in guideline implementation across institutions.

2 Methods

This study estimated the cost of palivizumab for an otherwise healthy preterm infant 29–32 wGA at birth (discharged from the hospital 1 month after birth) or 33–35 wGA at birth (discharged within the same month of birth) with a specific set of characteristics (birth wGA and body weight) under several potential real-world dosing regimens. The examined dosing scenarios were based on birth month and the potential number of months after birth an infant could receive their last dose (2, 3, 4, or 5), given that infants start receiving treatment during the RSV season (November to March of the following year). Treatment costs were estimated in the methodological steps outlined in Fig. 1 and summarized in Sects. 2.12.4. First, the Fenton Growth Charts [15] created for preterm infants and the World Health Organization (WHO) Child Growth Standards [16] were merged in order to produce a growth chart for preterm infants spanning 22 wGA to 2 years of chronological age. Second, the growth chart was applied to a population of infants from a US prospective, observational registry to determine infant weights at each expected prophylactic administration (every 4 weeks). Third, the estimated body weight at subsequent weekly time intervals was used to estimate palivizumab treatment costs over time for each infant. Fourth, these expected costs were used to derive mean cost per infant under various dosing scenarios.
Fig. 1

Study approach in estimating mean costs of palivizumab per infant in the RSV season. PMA postmenstrual age, RSV respiratory syncytial virus, wGA weeks gestational age

2.1 Creating a Growth Chart for Preterm Infants

Fenton Growth Charts, developed by Fenton and Kim [15], link intrauterine growth meta-analysis data from 22 to 36 wGA with the WHO Child Growth Standards, which contain information on weight by week of chronological age. By linking the percentile curves from each growth chart, Fenton and Kim produced a growth chart beginning at 22 wGA and extending to 50 weeks postmenstrual age (PMA), defined as gestational age at birth plus chronological age.

In order to evaluate the growth of infants beyond 50 weeks PMA, we further extended the Fenton Growth Charts with the WHO Child Growth Standards for chronological age of 14 weeks (equivalent to 50 weeks PMA) and above. Because Fenton and Kim had used the WHO Child Growth Standards to produce the upper age range of their growth charts, we were able to seamlessly merge their growth curves with the WHO Child Growth Standards extending beyond 50 weeks PMA. Smoothing techniques were used to combine the curves while maintaining data integrity. Gender-specific curves were first created and then averaged in order to evaluate the growth of an average preterm infant.

Fenton Growth Charts measure age in weeks using the midpoint of a week, whereas the WHO Child Growth Standards measure age in complete weeks. Because the use of the midpoint of a week is preferable, the Fenton and WHO growth charts were combined in order to make daily, rather than weekly, predictions. Specifically, the Lambda-Mu-Sigma (LMS) parameters were smoothed from the Fenton and WHO growth charts over age using locally weighted scatter plot smoothing (LOESS) [15, 17]. Similarly, a span parameter was chosen that allowed original curve shapes to be maintained with a minimal degree of smoothing [15]. These daily LMS parameters were then converted into weekly parameters using the predicted estimates at day 3.5 during each week. Lastly, with LMS parameters in hand, we generated smoothed growth curves at any exact percentile.

2.2 Using the Growth Chart to Determine Expected Weights of Infants from the Palivizumab Outcomes Registry

The growth chart was used to determine the weight-for-age percentile at birth for any preterm infant and subsequently identify a growth curve specific to that infant. By following the growth curve, an infant’s body weight can be estimated at any time, assuming the infant maintains the same growth pattern over time.

We applied this method to a sample of infants from the 2001–2002 RSV season of the Palivizumab Outcomes Registry—a US prospective, observational registry of children who received one dose or more of palivizumab for RSV prophylaxis from 2000 to 2004. The registry, extensively described in prior publications [18, 19, 20], collects data on demographics, clinical characteristics, and outcomes from a large sample of infants who received palivizumab, as well as more granular data such as exact birth weight for each infant, wGA at birth, and date of hospital discharge. Registry data were available for 5083 infants from the 2001–2002 RSV season.

The distribution of weight-for-age percentiles at birth for all infants in the 2001–2002 RSV season of the registry was very similar to the distribution of the subgroups of preterm infants born 29–32 and 33–35 wGA. Although preterm infants were born at an earlier gestational age and smaller weight, their percentiles of growth were distributed similarly to full-term infants. These similar distributions allowed all infants to be used in the next step [see the electronic supplementary material (ESM), online resource 1, Appendix Fig. A1].

The weight-for-age percentile for an infant was then identified on the basis of actual birth weight and wGA. After determining the birth weight-for-age percentile for each infant in the 2001–2002 RSV season, a growth curve was produced for each infant. The curve was used to determine infant weight at subsequent weekly time intervals by PMA.

2.3 Estimating Cost of Treatment for an Infant

Costs were estimated at each weekly PMA for all infants in the 2001–2002 RSV season and averaged for each age to derive expected mean costs of an infant by PMA. This approach allowed costs to be estimated at the individual level and averaged over the entire distribution of infants, instead of estimating costs for a typical (e.g., median) infant, in order to properly account for heterogeneity in costs across the population.

The calculated costs were based on the number of 50- and 100-mg vials each infant required, based on the FDA-approved dose of 15 mg/kg of body weight, and the associated quarter 3 (Q3) 2016–Q2 2017 US wholesale acquisition costs of $1468.91 for a 50-mg vial and $2773.74 for a 100-mg vial (pricing data obtained from manufacturer).

2.4 Estimating Mean Costs Under Various Dosing Regimens

Expected costs by PMA were used to estimate average costs during the RSV season (November through March) under different real-world dosing regimen scenarios. The dosing regimens varied by the number of months after birth an infant could receive their last dose (2, 3, 4, or 5), given that all infants start receiving treatment in the RSV season.

Two additional factors were considered before applying different dosing regimens: (1) uniform distribution of births throughout the year to ensure appropriate weighting is given to infants born in any given month; and (2) the estimated maximum PMA of first dose for an infant used to identify the start of treatment after birth.

To test the assumption that births are uniformly distributed throughout a given year, we examined the distribution of births from two different years, 2002 and 2014, using natality data from the National Center for Health Statistics [21]. Data separated by more than 10 years were chosen to test whether the distribution of births was maintained over time. The fraction of births within each month for the given year ranged from 0.08 to 0.09 for both years. Because the distribution of births was approximately uniform in both years, it is reasonable to assume uniform yearly birth distribution.

Using Palivizumab Outcomes Registry data from 2194 otherwise healthy preterm infants (29–35 wGA) admitted at birth to a neonatal intensive care unit, we derived an average age at discharge of 36 weeks PMA for preterm infants, which is an approximation of the maximum age of preterm infants for the first dose. Considering this age at discharge, hospital discharge occurred in the month after birth for preterm infants born 29–32 wGA and during the month of birth for preterm infants born 33–35 wGA.

Next, the cost of palivizumab was estimated for a preterm infant for each month of the 2016–2017 RSV season using the PMA at first dose, a given dosing regimen, and an RSV season spanning from November through March. Costs were calculated for all doses (dose at birth hospital discharge plus outpatient doses) and for outpatient doses only. To apply dosing regimens, we calculated how many months into the RSV season an infant born in a certain month was to be treated based on the dosing regimen. For example, in a dosing regimen of final dose given 2 months after birth, an infant born in September would receive her first and last injection in November. In the case of a full-season scenario, infants born at any time of the year would receive five doses, starting in November. In each scenario, costs were a function of birth month and estimated age at birth hospital discharge. To calculate costs for a population given the earliest birth month included, the average cost at each PMA of expected dose for infants born in the earliest birth month and all costs in the following months were added and averaged by the number of months from the starting birth month to end of season (i.e., March) (Table 1). Subsequent doses after discharge injection occurred on a monthly basis according to FDA-approved dosing.
Table 1

Postmenstrual age at each expected dose of palivizumab for infants 29–32 and 33–35 wGA, based on birth month relative to the RSV season

Birth month

PMA at dose, infants 29–32 wGA

PMA at dose, infants 33–35 wGA

RSV season

RSV season

Nov

Dec

Jan

Feb

Mar

Nov

Dec

Jan

Feb

Mar

May

56*

60

64

68

72

60*

64

68

72

76

Jun

52*

56

60

64

64

56*

60

64

68

72

Jul

48*

52

56

60

64

52*

56

60

64

68

Aug

44*

48

52

56

60

48*

52

56

60

64

Sep

40*

44

48

52

56

44*

48

52

56

60

Oct

36*

40

44

48

52

40*

44

48

52

56

Nov

×

36*

40

44

48

36*

40

44

48

52

Dec

×

36*

40

44

36*

40

44

48

Jan

×

36*

40

36*

40

44

Feb

×

36*

36*

40

Mar

×

36*

Months in bold indicate RSV season. Numbers with asterisks represent the PMA of the first dose for each given birth month. Crosses indicate that no dose would be provided in the month of birth because an infant was not of age to receive the first dose (PMA of 36 weeks or approximate age of hospital discharge after birth)

PMA postmenstrual age, RSV respiratory syncytial virus, wGA weeks gestational age

2.5 Analysis of Variance

After deriving average costs per infant, analysis of variance (ANOVA) was used to examine the key drivers of costs by determining the variables that best explain the variation in costs. ANOVA was performed using average cost as the outcome variable and birth month, dosing regimen, wGA at birth, interaction between dosing regimen and birth month, and interaction between dosing regimen and wGA at birth as independent variables. We then estimated how much each variable explained the variance (variation from the mean), in average cost per infant, by estimating their fraction of total variance (ratio of partial to total sums of squares for each variable). Additionally, to assess the quantitative relationship between the variables and the outcome, we used a linear regression model with average cost as the outcome and the same variables included in the ANOVA as the independent variables.

2.6 Sensitivity Analyses

Two real-world scenarios that could further impact the variability of treatment costs were considered in sensitivity analyses. The estimations for each of the sensitivity analyses were based on the same variables included in the main analysis. The first scenario allowed infants to receive a lower dose of palivizumab if their body weight was ≤10% higher than the weight required for the recommended dose. Palivizumab is supplied in 50- and 100-mg vials, and standard dosing assumes wastage; for example, an infant weighing ≤3.3 kg would receive a 50-mg vial, but an infant weighing 3.4 kg would receive a 100-mg vial. Dosing within 10% of body weight allows an infant at 3.4 kg to receive the 50-mg vial instead of the 100-mg vial, thereby impacting the dose cost for that infant. The second scenario considered post-acquisition manufacturer rebates, such as those required by federal law for Medicaid recipients [22, 23]. The average cost of palivizumab for Medicaid-insured preterm infants was estimated using a manufacturer rebate of 60% for Q3 2016 (rebate data obtained from manufacturer).

3 Results

Table 1 shows the PMAs at potential prophylactic administration times used for calculating costs for infants born 29–32 and 33–35 wGA. For each birth month, the PMA at expected dose for an infant is shown by month in the RSV season. The first dose of palivizumab was based on an average age of discharge of 36 weeks PMA. Infants 29–32 wGA born in the RSV season do not reach their maximum age for first dose in the same month they are born; therefore no dose would be provided in the birth month (represented by crosses in Table 1). Infants 33–35 wGA born in the RSV season reach their maximum age for first dose in the birth month. The included PMAs were customized for each dosing regimen.

The average treatment cost of palivizumab per infant per season based on various dosing regimens is presented in Table 2 for infants 29–32 and 33–35 wGA. Using the expected weight and cost at each PMA of palivizumab administration (Table 1), the average costs per infant were estimated given the dosing regimen, birth month relative to RSV season, and outpatient doses after first dose at birth discharge. The average costs of birth hospital discharge dose combined with outpatient doses were evaluated versus costs of outpatient doses only. Depending on the choice of dosing regimen, the estimated mean 2016–2017 total seasonal treatment cost of palivizumab for a preterm infant <6 months of age at the start of the RSV season or born during the season (May–March) ranged from $3221 to $12,568, with outpatient-only treatment costs between $1849 and $11,862. Costs for an infant born during the RSV season ranged from $3287 to $6782, with outpatient-only doses between $1733 and $5229.
Table 2

Average seasonal cost of palivizumab (2016–2017 RSV season) for a preterm infant who receives treatment November–March, based on gestational age, birth month, and different dosing regimens

 

Last dose received 2 months after birth, treatment starting within RSV season

Last dose received 3 months after birth, treatment starting within RSV season

Last dose received 4 months after birth, treatment starting within RSV season

Treated monthly for the full season (Nov–Mar)

BDD + OD 

OD only 

BDD + OD 

OD only

BDD + OD

OD only 

BDD + OD

OD only

Infants 29–32 wGA

Born in season (Nov–Mar)

$3287

$1733

$4664

$3110

$5370

$3816

$5370

$3816

Born in season + <1 month at season start (Oct–Mar)

$3403

$1849

$5055

$3501

$6185

$4631

$6782

$5229

Born in season + <2 months at season start (Sep–Mar)

$3221

$1926

$5056

$3762

$6469

$5174

$8021

$6726

Born in season + <3 months at season start (Aug–Mar)

$3221a

$1926a

$4727

$3618

$6341

$5231

$9105

$7995

Born in season + <4 months at season start (Jul–Mar)

$3221a

$1926a

$4727a

$3618a

$5902

$4931

$10,069

$9098

Born in season + <5 months at season start (Jun–Mar)

$3221a

$1926a

$4727a

$3618a

$5902a

$4931a

$10,963

$10,100

Born in season + <6 months at season start (May–Mar)

$3221a

$1926a

$4727a

$3618a

$5902a

$4931a

$11,799

$11,023

Infants 33–35 wGA

Born in season (Nov–Mar)

$5055

$3501

$6185

$4631

$6782

$5229

$6782

$5229

Born in season + <1 month at season start (Oct–Mar)

$5056

$3762

$6469

$5174

$7465

$6170

$8021

$6726

Born in season + <2 months at season start (Sep–Mar)

$4727

$3618

$6341

$5231

$7622

$6512

$9105

$7995

Born in season + <3 months at season start (Aug–Mar)

$4727a

$3618a

$5092

$4931

$7396

$6425

$10,069

$9098

Born in season + <4 months at season start (Jul–Mar)

$4727a

$3618a

$5902a

$4931a

$6907

$6043

$10,963

$10,100

Born in season + <5 months at season start (Jun–Mar)

$4727a

$3618a

$5902a

$4931a

$6907a

$6043a

$11,799

$11,023

Born in season + <6 months at season start (May–Mar)

$4727a

$3618a

$5902a

$4931a

$6907a

$6043a

$12,568

$11,862

BDD birth discharge dose, OD outpatient doses, RSV respiratory syncytial virus, wGA weeks gestational age

aInfants born in this earliest month were not eligible for dosing based on the specific policy. Therefore, the cost estimate reflected is equal to the earliest birth month eligible for the specific dosing policy

Based on the sensitivity analyses, when considering 10% variation in body weight for dosing, average costs of treatment for a preterm infant <6 months of age at the start of the RSV season or born in the season ranged from $2847 to $11,504, with outpatient-only doses between $1530 and $10,821. For a preterm infant born only during the RSV season, the average costs ranged from $2938 to $6313, with outpatient-only doses between $1435 and $4809 (see the ESM, Appendix Table A1). Average costs of treatment for Medicaid-insured preterm infants, estimated using a manufacturer rebate of 60%, are shown in Appendix Table A2 (see the ESM). Costs ranged from $1288 to $5027 for a preterm infant <6 months of age at the start of the RSV season or born during the season; outpatient-only costs ranged from $740 to $4745. For Medicaid-insured preterm infants born during the RSV season, the cost ranged from $1315 to $2713 ($693 to $2091 for outpatient-only doses).

Figure 2 shows the trend in expected weight by PMA from the derived growth chart used in the cost estimations. Appendix Fig. A2 (see the ESM) shows the average costs at each PMA for standard dosing, as well as the average costs for infants who received a lower dose if their body weight was ≤10% higher than the weight required to receive the lower recommended dose. The difference in average per-infant cost between the two dosing approaches ranged from $18 at 35 weeks PMA to $498 at 61 weeks PMA. Appendix Fig. A2 (see the ESM) also shows the average costs at each PMA for Medicaid-insured infants, estimated using a 60% manufacturer rebate applied to standard dosing costs.
Fig. 2

Average expected weight (kilograms) of an infant by postmenstrual age (PMA)

Although the expected average infant weight increased steadily with age (Fig. 2), average costs increased in a less consistent manner (see the ESM, Appendix Fig. A2). For standard dosing, the steepest incremental increase in cost between ages (i.e., differences in cost from one age to another) occurred at 37–41 weeks PMA, ranging from $130 to $247. For 35–36 weeks PMA and 42–80 weeks PMA, incremental cost for a 1-week difference in age varied from $11 to $103. Dosing within 10% variation of weight resulted in lower cost differences between ages. Under this scenario, the steepest incremental increase in cost between ages was seen among infants 38–43 weeks PMA.

Based on ANOVA, the key drivers of costs included dosing regimen (contributing to 74% of the variance in average cost for an infant, p < 0.0001), the interaction between dosing regimen and birth month (17% of variance, p < 0.0001), wGA (6%, p < 0.0001), and birth month (3% of variance, p < 0.0001) (Table 3). Results from the linear regression model show that there is a positive effect on cost with the increase in number of months after birth an infant receives their last dose, a negative effect as birth month approaches the start of the RSV season (November), and a positive effect among infants 33–35 wGA at birth compared with those 29–32 wGA at birth [adjusted R 2 = 0.9908; standard error of regression (root-mean-square error) = 225.03; see the ESM, Appendix Table A3].
Table 3

Key drivers of average cost for the RSV season: results from analysis of variance (ANOVA) 

Potential drivers of cost

df

F statistic

P value

Attributable fraction of variance of average cost per infanta

Dosing regimen

3

1464.41

<0.0001

0.736

Gestational age at birth (2932 or 3335 weeks)

1

355.36

<0.0001

0.060

Birth month

6

33.89

<0.0001

0.034

Interaction of dosing regimen and birth month

18

55.47

<0.0001

0.167

Interaction of dosing regimen and gestational age at birth

3

6.92

0.002

<0.005

RSV respiratory syncytial virus

aCalculated as ratio of partial sum of squares to the total sum of squares of the model

4 Discussion

This study estimated the treatment costs of palivizumab for otherwise healthy preterm infants 29–35 wGA under several real-world scenarios. The analyses considered a range of potential dosing regimens in addition to estimating infant growth over time, using a combination of the Fenton Growth Charts and WHO Child Growth Standards to more accurately calculate the cost at each prophylactic administration for an infant. The expected standard dosing costs of treating preterm infants 29–35 wGA at birth and <6 months of age at the start of the 2016–2017 RSV season or born in the season (May–March) ranged from $3221 to $12,568, with an outpatient treatment cost between $1733 and $11,862. When considering potential real-world scenarios, such as dose adjustments based on slight variation in body weight and manufacturer rebates for Medicaid-insured infants, further variation was observed, as standard dosing costs ranged between $1288 and $11,504 and outpatient-only dosing costs ranged from $740 to $10,821 for an infant <6 months of age at the start of the season or born in the season.

The results suggest considerable variability in the cost of treatment with palivizumab, mainly driven by choice of dosing regimen, which dictates the number of doses an infant can receive, in addition to infant’s birth month, wGA, and weight-for-age, which drive the cost at each dose. The choice of dosing policy contributed to most of the variability in the average cost per infant per season, followed by the dosing policy’s interacted with birth month, and wGA. This variability points to the potential of policies for RSV immunoprophylaxis to reduce the burden of disease by targeting utilization in the population with the greatest risk of severe RSV and lowest palivizumab cost, i.e., preterm infants during the first 6 months of life [24, 25, 26, 27, 28, 29].

Previous cost-effectiveness studies made several assumptions of palivizumab cost and did not account for key cost drivers—particularly the different policy scenarios that contribute greatly to cost heterogeneity [8, 9, 10, 11]. In general, studies assumed standard dosing (maximum number of doses, vial wastage), and uniform implementation of dosing guidelines, with the majority using a single estimate of infant weight across ages and doses. Therefore, it is likely that previous studies did not accurately estimate variation in costs across the population.

This analysis used real-world data from several data sources relevant to otherwise healthy preterm infants born 29–35 wGA to examine the effect of dosing policy variations on the cost of palivizumab in preterm infants. Further, it contributes to the existing literature by accounting for infant growth using weight-for-age when calculating cost, and provides a foundation for future research. From a policy perspective, this study highlights the importance of applying context when estimating real-world cost-effectiveness of technologies. Given the variation in costs and the role of key cost drivers, it is essential to avoid oversimplification of costing models that risk distorting real-world results.

It should be noted that this study did not factor in the real-world practice of vial sharing (splitting the contents of a single-use vial to provide the drug to more than one eligible infant), or price decreases due to potential future patent expiry, so these estimates will be at the high end of the real-world costs per infant. The results of this study are applicable to the otherwise healthy preterm population of infants born 29–35 wGA, and may not be generalizable to other high-risk infant groups. Further, this study assumed average maximum age for first dose for all preterm infants to be time of birth hospital discharge, as initial dosing is recommended to occur at this time according to AAP guidelines.

5 Conclusion

From a public health standpoint, the healthcare burden of severe RSV in preterm infants is reduced with immunoprophylaxis [30, 31]. Because acquisition costs of palivizumab in cost-effectiveness studies are tools used to develop policy guidelines, it is crucial to evaluate costs based on different real-world scenarios that are key drivers of cost in order to provide a more accurate picture of the economic and health benefits. This study found considerable variability in the average cost of palivizumab treatment for otherwise healthy preterm infants born 29–35 wGA, driven by choice of dosing regimen, wGA, and birth month. It also highlights the importance of considering patient heterogeneity and context in understanding the often considerable variance that exists for inputs in palivizumab cost-effectiveness models. Making policy decisions based on cost-effectiveness estimates for an “average” patient is dangerous when the goal is health gain optimization for a population or a particular set of patients in need. Therefore, future studies should consider both weight-for-age at dosing and dosing policies in order to provide more accurate assessments of cost-effectiveness.

Notes

Acknowledgements

Manuscript preparation support was provided by The Lockwood Group, which was in accordance with Good Publication Practice (GPP3) and funded by AstraZeneca.

Author contributions

Study concept and design were contributed to by AS, DI, DP, KM, and WS. AS and DI collected and analyzed the data. Data interpretation was performed by AS, DI, DP, KM, and WS. The manuscript was written and revised by AS, DI, DP, KM, and WS.

Compliance with Ethical Standards

Conflict of interest

AS, DI, DP, and WS are employees of Precision Health Economics, which received funding from AstraZeneca to conduct this work. KM is an employee of AstraZeneca. The funding agreement ensured the authors’ independence in designing the study, interpreting the data, and writing the manuscript.

Funding

This study was supported by AstraZeneca.

Data availability statement

The Fenton Growth Charts that support the findings of this study are available from Dr. Tanis Fenton at the University of Calgary; however, restrictions apply to the availability of these data, which were used under license for the current study, and are therefore not publicly available. The Palivizumab Outcomes Registry data analyzed during the current study are not publicly available. The WHO Child Growth Standards (http://www.who.int/childgrowth/standards/en/) and the National Center for Health Statistics natality birth data (http://www.nber.org/data/vital-statistics-natality-data.html) are publicly available data and are available from the corresponding author upon reasonable request.

Supplementary material

41669_2017_42_MOESM1_ESM.docx (518 kb)
Supplementary material 1 (DOCX 518 kb)
41669_2017_42_MOESM2_ESM.tif (7.7 mb)
Fig. A1 Distributions of all births and selected gestational age groups: a density plot of birth weight z-scores (TIFF 7901 kb)
41669_2017_42_MOESM3_ESM.tif (696 kb)
Fig. A2 Expected average cost per infant for the 2016–2017 RSV season by postmenstrual age (PMA) under three cost scenarios: 1) standard dosing, 2) dosing within 10% variation in weight, and 3) Medicaid-insured infants. RSV = respiratory syncytial virus (TIFF 696 kb)

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Copyright information

© The Author(s) 2017

Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  • Ahva Shahabi
    • 1
  • Desi Peneva
    • 1
  • Devin Incerti
    • 1
  • Kimmie McLaurin
    • 2
  • Warren Stevens
    • 1
  1. 1.Precision Health EconomicsLos AngelesUSA
  2. 2.AstraZenecaGaithersburgUSA

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