Skip to main content

Cost-effectiveness analysis of the nine-valent HPV vaccine in Italy



In Italy HPV vaccination with the quadrivalent vaccine (Gardasil®) is offered actively and free of charge to girls aged 12 since 2007. A nine-valent vaccine (Gardasil 9®) received the European market authorization in 2015 to protect, with only 2 doses, against around 90% of all HPV positive cancers, over 80% of high-grade precancerous lesions and 90% of genital warts caused by HPV types 6/11.


A dynamic transmission model simulating the natural history of HPV-infections was calibrated to the Italian setting and used to estimate costs and QALYs associated with vaccination strategies. The analyses compared two strategies with the nine-valent vaccine (cervical cancer screening and vaccination in girls only or vaccination in boys and girls) to four alternative strategies (cervical cancer screening and vaccination with quadrialent vaccine in girls only, in both boys and girls, with bivalent vaccine in girls and screening strategy only). The National Health Service perspective was considered.


The switch to the nine-valent vaccine in Italy can further reduce the burden associated to cervical cancer and HPV-related diseases and is highly cost-effective.


Compared to the current vaccination program with quadrivalent vaccine, the nine-valent vaccine in a programme including girls and boys shows further reductions of 17% in the incidence of cervical cancer, 35 and 14% in anal cancer for males and females, as well as over a million cases of genital warts avoided after 100 years. The new technology is associated with an ICER of 10,463€ per QALY gained in universal vaccination, decreasing to 4483€ when considering the vaccine switch for girls-only.


Human papillomavirus (HPV) [1] infection is the most common sexually transmitted infection and can be passed on through genital contact or by skin-to-skin contact [2, 3]. In the majority of cases, HPV infections are transient and cleared up within a few months after acquisition. However in some cases, HPV infection can persist and progress to cancer. The over 100 different HPV types identified have been divided into high and low risk types according to the risk for progression to cancer. High risk oncogenic HPV types (especially 16, 18, 31 and 45) are known to be primarily responsible for cancerous and precancerous lesions of the ano-genital area in both males and females. Overall, virtually all of cervical cancers, 88% of anal cancers, 43% of vulvar cancers, 70% of invasive vaginal carcinomas and 50% of all penile cancers worldwide can be attributed to HPV. The proportion of head and neck cancers caused by HPV is lower but not negligible [4]. Cervical cancer is the second most common cancer in young women in the European Union, and nearly all cases are attributable to HPV infection, the primary cause being the persistent infection of the genital tract by high-risk types (HPV 16/18/33/45) [5,6,7]. The second category, low-risk HPV types, do not cause cancer but are the agents of skin and genital warts. Low-risk HPV types include types 6 and 11, that are responsible for about 90% of all genital warts and can cause recurrent respiratory papillomatosis [8].

In Italy, a cervical cancer screening based on cytology is recommended every 3 years for women aged from 25 to 64 years [9, 10]. In addition to cervical cancer screening, HPV vaccination is offered actively and free of charge to girls aged 12 since 2007. HPV vaccines are designed to prevent HPV infection and HPV-related diseases, as demonstrated in clinical trials. There are currently two commercially available vaccines in Europe: the quadrivalent vaccine Gardasil® and the bivalent vaccine Cervarix®. Both vaccines protect against high-risk HPV 16 and 18. The quadrivalent vaccine also includes protection against HPV 6 and 11, which are responsible for most cases of genital warts. The two vaccines are indicated for the protection of premalignant genital lesions (cervical, vulvar and vaginal) and cervical cancers; the indication of the quadrivalent vaccine also includes premalignant anal lesions, anal cancers and genital warts.

In Italy, each region is allowed to include additional age cohorts target group in the HPV vaccination programme; between 2014 and 2015, nine regions (Veneto, Liguria, Friuli-Venezia Giulia, Apulia, Sicily, Sicilia, Calabria, Molise, Trentino and Sardinia) extended the active vaccination programme to 12 year old boys. The vaccination program was initially based on a three dose regimen, but was subsequently changed to a 2-dose schedule in 2014.

A nine-valent vaccine (Gardasil 9®), developed with the aim to protect against nine HPV types (6, 11, 16, 18, 31, 33, 45, 52 and 58) was approved by the Food and Drug Administration in December 2014, and by the European Medicines Agency in June 2015 [11, 12]. Data confirm that types 16, 18, 31, 33, 45, 52 and 58 are amongst those most frequently detected [13]. Therefore, the nine-valent vaccine is expected to provide coverage against the majority of high-risk HPV types with carcinogenic properties [11]. With the addition of five HPV types compared to its predecessor, the nine-valent vaccine has the potential to prevent 70–90% of cervical, vulvar, vaginal and anal cancers, and 45–80% of precancerous cervical lesions [13, 14].

The total direct costs associated with the annual incident cases of HPV-related diseases [cervical cancers, precancerous cervical lesions, vaginal cancer, vulvar cancer, penile cancer, anal cancer, head and neck cancer, genital warts and recurrent respiratory papillomatosis (RRP)] including the cost of the diagnosis were estimated to be €529 million in 2011 in Italy [15]. The World Health Organization and the supervisory authority for public contracts in Italy, recommend that the decision-making process be based on both the quality of goods and services, as well as the best achievable price.

Several mathematical models have estimated the potential population impact of HPV vaccination on the burden of cervical cancer [16,17,18,19,20,21,22]. In Italy, like in other countries in Europe, there are numerous published studies assessing the cost-effectiveness of HPV vaccines [9, 19, 23,24,25,26,27,28]. Such studies conclude that the vaccination of girls with the bivalent and/or quadrivalent vaccines is cost-effective. More recently, the BEST II study estimated that universal vaccination (i.e. girls and boys vaccination) was also cost-effective in the Italian context [22]. On the other hand, the cost-effectiveness of 9-valent HPV vaccination was assessed in the United States. Three models were presented during the advisory committee on immunization practices (ACIP) meeting on February 26th 2015 [29,30,31]. Results of those studies showed that a universal vaccination programme with the nine-valent vaccine was likely to be cost-effective and even cost-saving compared to the current universal vaccination programme with the quadrivalent vaccine in the US, if a premium price of +10% was considered. Similar conclusions were drawn in Canada [32]. Brisson et al. [33] found that if the premium price of the nonavalent vaccine is below $13 per dose, the nine-valent vaccine would be cost saving with respect to the quadrivalent vaccine in the US setting. Robust cost-saving results were also found by Chesson et al. [34]. In Europe, the most recent study from Boiron et al. [35] showed that vaccinating 60% of girls and 40% of boys aged 9 in Austria with a nine-valent vaccine would substantially reduce the incidence of cervical cancer and be cost effective compared to the current strategy.

The objective of this study was to provide realistic estimates of the epidemiological and economic impact of the implementation of the 9-valent HPV vaccine program for both girls and boys in Italy compared to the current clinical practice using a 4-valent (HPV 6/11/16/18) or bivalent (HPV 16/18) vaccine for girls only, in a short and long-term horizon from the national health service perspective.


Mathematical model

A previously published US model, simulating the natural history of HPV-infections and estimating the cost associated with HPV-related diseases, has been extended to account for infections and diseases attributable to HPV genotypes 31, 33, 45, 52, 58 and adapted to Italy in order to estimate the cost-effectiveness of the nine-valent vaccine [19, 20].

The model is a deterministic, dynamic, ODE-based susceptible-infected-recovered-susceptible (SIRS) transmission model. This open-population based model consists of:

  • A demographic model describing birth, ageing, and death.

  • A behavioural model describing sexual mixing patterns.

  • HPV infection and disease models describing transmission and disease occurrence.

Whereas HPV 6, 11, 16 and 18 are modelled separately, the five additional types are combined into a single set of compartments. All together, the model accounts for the transmission dynamics of nine HPV types: 16, 18, 6, 11, 31, 33, 45, 52, and 58, and simulate the occurrence of genital warts; RRP; precancers such as cervical intraepithelial neoplasia (CIN); cervical, vulvar, vaginal, penile, anal, and head/neck cancers related to these HPV types.

The current analysis follows a conservative approach and considers an additional clinical benefit of the nine-valent vaccine only for CIN, cervical and anal cancers. The status quo was assumed for other diseases.

In addition, as RRP, penile and head and neck cancers are not included in the vaccine label, those indications were not incorporated in the base case analysis, but they were considered in the sensitivity analyses.

Two different strategies with the nine-valent vaccine (cervical cancer screening and the nine-valent vaccine for girls only or both boys and girls) were compared to four alternative strategies:

  • Cervical cancer screening and the quadrivalent vaccine for girls only;

  • Cervical cancer screening and the quadrivalent vaccine for both boys and girls;

  • Cervical cancer screening and bivalent vaccine for girls only;

  • Screening strategy only.

Epidemiological model parameters

The numerous model inputs of the epidemiological model are divided into demographics, sexual behavior, disease and treatment patterns, screening, and natural history of disease. The parameter estimates were derived from published data and a calibration process. Further details on the calibration material and techniques are presented in the section “Model calibration and validation”. The main set of epidemiological data are displayed in Additional file 1. All remaining model parameters and their values have been previously reported in detail in a technical report from Elbasha et al. [19].


The model population reflects the current size and demographic characteristics (gender distribution and all-cause mortality rates) of the Italian population. These estimates were retrieved from the Italian National Institute of Statistics [10].

Sexual behaviour

Each age group consists of persons with low, medium or high sexual activity. Data on sexual behaviour in Italy were scarce or differed in several aspects from the inputs needed to inform the model. The results from the United Kingdom (UK) NATSAL-3 study were used. They were deemed to be applicable to the Italian setting according to experts’ opinion as well as being consistent with previously published economic literature (Haeussler et al.) [21, 22, 36].

The degree of sexual mixing among members of different age cohorts and sexual activity groups (0 representing no mixing, and 1 representing a maximal mixing) was set up in similar to the US model and adjusted during the calibration process [19].

Natural history of disease

The progression from infection to disease follows a similar natural history structure as the initial US model. Since transmission rates are not directly observable, calibration techniques were used to obtain the best set of parameters.

Disease and treatment patterns

Women with precancerous lesions [CIN, vaginal intraepithelial neoplasia (VaIN) and vulvar intraepithelial neoplasia (VIN)] or with cancer were classified into undetected, detected or treated categories. The proportion of women recognising their disease and seeking treatment and the proportion of treated women were estimated through the model calibration.

The women who had a benign hysterectomy and the ones who were treated and cured for cervical cancer were no longer at risk of cervical cancer. The incidence rates of hysterectomy by age were retrieved from the most recent Italian publication [9].

The annual probability of death for each HPV-related cancer, stratified by age and stage, were obtained by combining the data from two sources: the age-specific data from EUROCARE-5 and the stage-specific data from the BEST II study [22, 37].


In Italy, a cervical cancer screening with cytology is recommended every 3 years for women aged from 25 to 64 years [9, 10]. HPV testing as primary screening in women ≥30 years to be performed every 5 years has been introduced in a few regions, but data are still very scarce. Therefore, the focus of the analyses was Pap smear testing. The model reflected the current Italian situation where 77% of women receive gynecological cancer screening tests at least once every 3 years, as reported by the Italian national screening observatory (Osservatorio nazionale screening). The model was also informed by the age specific screening coverage rates in the past year, using two different sources to cover all the age groups [22, 38]. No screening for women aged 0–10 and 75+ was assumed.

The proportion of women who received a follow-up visit after an abnormal PAP smear test (70.52%) was estimated from the English Cervical screening programme 2013–2014, as no Italian source was found [39]. In terms of diagnostic performance, the sensitivity and specificity of the colposcopy were 90 and 48% respectively, whereas the specificity of the Pap test was 95.7% [9].

Economic model parameters

The epidemiologic model adapted to the Italian population was then connected to the economic model. The latter simulates the costs and utilities associated with the HPV-cases and related diseases and assesses the impact of each prevention strategy. The inputs for the economic model are divided into vaccination strategy, vaccine properties, costs, and health-related quality of life.

Vaccination strategy

The current vaccination program with the bivalent and quadrivalent HPV vaccine in Italy is for girls at their 12th year of age, with recent data showing a coverage rate of 71.1% [40]. The vaccination consists of a two-dose schedule with a high adherence rate (proportion receiving the 2nd dose after the 1st one) of 90% [41]. It has been assumed that a vaccination programme with the nine-valent vaccine and or the addition of boys’ immunization would have the same performance (coverage and adherence).

Vaccine properties

The prophylactic efficacy of the vaccine or vaccine degree of protection was based on clinical trial data (Table 1) [42,43,44,45,46,47]. The duration of protection against vaccine types (6/11/16/18/31/33/45/52/58) was assumed to be lifelong. This parameter was tested in sensitivity analyses adopting a conservative approach with a lower duration of 20 years [19, 20]. The model makes a distinction between the level of protection against the infection and again the disease resulting from a breakthrough infection and considers different efficacy values for each. It is further assumed that these “breakthrough” infections are transmissible. The efficacy on head and neck, penile and RRP diseases was assumed to be conferred through protection against infection only. As they are not included in the vaccine label, these indications were not incorporated in the base case analysis but considered in the sensitivity analyses.

Table 1 Summary table on vaccine assumptions

A two-dose regimen was considered in the model for the quadrivalent vaccine and also for the nine-valent vaccine to reflect the on-going trial. We assumed that if only one dose was administrated, the vaccine would have no efficacy.

In recent World Health Organization (WHO) guidelines on cervical cancer it was highlighted that the duration and strength of effectiveness of cross-protection was still to be demonstrated. Therefore, no cross-protection was assumed in the base case [48].

Cost of vaccination

In Italy, the vaccination programme is financed at Regional level and therefore it can be largely different in terms of age and number of the target cohorts, catch-up programmes and access procedure. For this reason, the cost of each vaccine dose is subject to a wide variability across the regions and over time [22]. The maximum price for public healthcare providers was set at €104.00, which corresponds to the ex-factory price per dose negotiated by the Italian agency for medicines. The cost of the 9-valent vaccine was not available in Italy since the product is not yet marketed. A theoretical base case price for the nine-valent vaccine of €120.00 was chosen, the equivalent of the price set in the public sector in the US.Footnote 1 The price of both vaccines was varied in the sensitivity analyses. Moreover threshold analyses were conducted to find the cost-effective price for a ceiling ratio of 25,000–40,000€/QALYs, which is in line with Italian guidelines [49]. The administration cost was set at €6.6 [22].

Cost per episode of care

The costs per episode of care of each HPV-related disease, defined as the cost of management from diagnosis to resolution of the case, were estimated from the BEST II study and Baio et al. and are displayed in Table 2 [15, 22]. The productivity losses as a result of HPV disease were not included in the model.

Table 2 Summary table on costs and utilities for HPV-related disease

Cost of screening and diagnostic tests

The Italian reimbursement tariffs from the Italian Ministry of Health were used to extract the costs of PAP test, colposcopy and biopsy [50].

All costs were updated to 2014 Euros using the National Price Index for the whole community [51].

Health-related quality of life

Age-specific utilities for the Italian general population were not available in the literature. In a report from the Istituto Superiore di Sanita’, utilities for the Italian general population were assumed equal to the US population, thus the same assumption was used in the model [52]. Disease-related utilities were collected from the BEST II study [22] for all the diseases except for recurrent respiratory papillomatosis which was collected from Lindman et al. [53]. and are summarized in Table 2. Health utility values from the BEST II study were based on an Italian Time Trade-off study on HPV-related diseases [54]. We assumed that the quality of life for cancer survivors after successful treatment was the same as healthy women of the same age. The alternative set of utilities that were used for the sensitivity analysis is from Elbasha et al. [19, 20].


Both costs and outcomes were discounted to present value at a rate of 3% per the Italian pharmacoeconomic guidelines [49]. Alternative discount rates of 1.5% for outcomes, 0 and 6% for both costs and outcomes were used in the sensitivity analysis.

Model calibration and validation

Despite a good level of accuracy in the choice of the inputs, epidemiological results may not be consistent with observed Italian data reported in the national statistics. For this reason it was necessary to perform a calibration, the process in which epidemiological model inputs are tuned in order to obtain results closer to real data. The targets of the calibration are data on incidence and mortality rates of HPV-related diseases.

Overall and age-specific incidence data for cervical, anal, vaginal, vulvar and penile cancers were found in the report from the Institut Catala’ d’Oncologia (ICO)—Information center on HPV. The aim of this report was to compile and centralize updated data and statistics from the official Italian registry on HPV and related cancers; age specific values were extracted from the graphs [55]. The ITACAN database was used for incidence data on cancers in oral cavity, oropharynx and larynx. Overall incidence of genital warts was found in an Italian study (Baio et al.). This Italian study provided also overall incidence for CIN 1 and CIN 2–3 incidence. Nevertheless, the reported values were much lower than other available data (Hartwig). Therefore, UK data were also considered as a higher bound of plausible data.

Since the model studies HPV-induced diseases only, target epidemiological values were calculated by multiplying the incidence or the mortality with the percentage of the disease that can be attributed to HPV infection.

The proportion of diseases attributable to HPV infection (for the 2-valent, 4-valent or 9-valent vaccines) were found in the literature [13, 56]. The model was calibrated to attribute 73% of CIN 2/3 and cervical cancer incidence to HPV 16 and 18 and 17% to HPV 31, 33, 45, 52, and 58.

HPV-related head and neck cancers were calculated by weighting HPV-related oral cancers, oropharynx cancers and larynx cancers on their overall incidence.

The calibration process involved many rounds of iterations to move model outcomes closer to the targets. The following model outcomes were compared against the calibration target in each iteration: cervical cancer incidence, genital warts incidence, vaginal/vulvar/penile/anal/head and neck cancer incidence, and mortality rates of cervical/vaginal/vulvar/head and neck cancer.

The variables that affect all or most of the outputs are referred to as global variables. These include behavioural parameters, natural history of disease, transmission rates and all-cause mortality. They were first adjusted by changing transmission rates. The variables that affect only specific outputs are referred to as specific variables. These include disease-specific probability of death and rate of seeking treatment, and were used to fine-tune each disease area.

Model analyses

The model was used to estimate the total number of disease events associated with HPV vaccine types (6/11/16/18/31/33/45/52/58-related); the incidence and mortality (cervical cancer, CIN, anal cancer and genital warts); the costs of vaccination, screening, diagnosis and management of the disease; the quality-adjusted life years (QALYs) of the model population. Results were reported over 100 years for the different strategies tested. Incremental cost-effectiveness ratios (ICERs) were then calculated by dividing the difference in the average accumulated costs by the average QALYs gained.

Sensitivity analyses were performed deterministically, modifying the value of one base case parameter at a time. The following key parameters were tested: vaccine price (with a low price of 56€ for the quadrivalent vaccine and Cervarix, and 80€ for the nine-valent vaccine), duration of protection (20 years), utilities from Elbasha et al. discount rates (1.5% instead of 3% for outcomes), and the inclusion of RRP, penile and head and neck cancer indications.



Most of the overall rates are very close to published data (less than 15% difference). Target were not matched closely for overall vaginal and vulvar cancer incidence and mortality. Age-specific values are generally difficult to calibrate, given the numerous parameters at stake and the diversity of the sources. Overall the calibrated age specific values were close to the observed data with the exception of the older age groups (75+).

Epidemiological results

The nine-valent vaccine girls-only vaccination and the quadrivalent vaccine girls-only vaccination are associated with a 76 and 63% decrease in incidence of cervical cancer respectively, over 100 years, as shown in Fig. 1. Overall, the estimated number of cervical disease events prevented with the nine-valent vaccine in 100 years in comparison with the quadrivalent vaccine was 16,678 for cervical cancer, 82,598 for CIN1, and 127,742 for CIN2+, as shown in Table 3. In total, the reduction in the number of cases of precancerous lesions (CIN 1, CIN 2/3) and genital warts occurred within 5th years of the start of the vaccination programme. The reduction in incidence of HPV-related cancers and deaths from HPV-related cancers was more gradual, reflecting the fact that HPV-related cancers are diseases with slower progression.

Fig. 1
figure 1

Epidemiological impact of three vaccination strategies on the incidence and mortality of cervical diseases (related to related to HPV 16/18/31/33/45/52/58)

Table 3 Disease events prevented with the nine-valent vaccine universal vaccination in comparison with the current strategy (the quadrivalent vaccine girls-only vaccination)

Switching from a girl-only vaccination with the quadrivalent vaccine to a universal vaccination with the nine-valent vaccine showed significant health benefits. With respect to the quadrivalent vaccine, additional 22,640 prevented cases of cervical cancer, 105,431 of CIN1, and 170,286 of CIN2+ were associated with the universal vaccination. Furthermore, the comparison between the nine-valent vaccine universal vaccination and the quadrivalent vaccine girls-only vaccination (Table 3) estimated that vaccinating boys will prevent 1508,505 cases of genital warts among males, 358,140 cases of genital warts among females, and 8111 cases of anal cancer. This corresponds to an additional decrease in incidence with respect to the nine-valent vaccine girl-only vaccination of 4% in cervical cancer, 4% in CIN1, 4% in CIN2+ (Fig. 1), and 7% in genital warts among female (Fig. 2).

Fig. 2
figure 2

Epidemiological impact of three vaccination strategies on the incidence of genital warts and anal cancer (related to related to HPV 16/18/31/33/45/52/58)

Cost-effectiveness results

The ICER of the nine-valent vaccine with respect to the quadrivalent vaccine was 4483€/QALY when considering girls-only vaccination and 10,463€/QALY for a universal vaccination (Table 4). The implementation of the nine-valent vaccine universal vaccination in comparison to a girls-only program with the quadrivalent vaccine was associated with a cost per QALY gained of 13,541€. In the instance where the vaccination covered only girls, the nine-valent vaccine was cost-saving with respect to the bivalent vaccine.

Table 4 Cost effectiveness results of the base case analysis

The comparison of the nine-valent vaccine with the screening only strategy scored an ICER of 2592€/QALY for the girls only vaccination and 5855€/QALY in the case of a universal vaccination is selected. As shown in Fig. 3 switching from the quadrivalent vaccine to the nine-valent vaccine girls-only vaccination is cost-effective up to a price of €201 per dose, considering a threshold for the ICER of 40,000€/QALY. All the threshold prices can be found in Fig. 3.

Fig. 3
figure 3

Price threshold analysis

Sensitivity analyses

One-way sensitivity and scenario analyses were conducted and the cost-effectiveness results are displayed in Tornado diagrams in Fig. 4. The bivalent vaccine remained dominated by the nine-valent vaccine in all sensitivity analyses. The low price alternative decreased the ICER with respect to base case in the nine-valent vaccine universal vs the quadrivalent vaccine girls. In the other comparisons, considering that only the vaccine will change but not the target population, the ICER increased instead, but remained well beyond the minimum threshold of 25,000€/QALY. The ICERs were very sensitive to the discount rate. A higher discount rate of 6% substantially reduced both costs and outcomes and resulted in significantly higher ICERs for the three comparisons: 19,400€/QALY for the comparison between the nine-valent vaccine and the quadrivalent vaccine in a girls-only vaccination strategy, 39,182€/QALY for the nine-valent vaccine and the quadrivalent vaccine in a universal vaccination and 27,841€/QALY for the nine-valent vaccine universal strategy versus the quadrivalent vaccine girls-only strategy. Testing no discount rate greatly increased costs and outcomes and produced the lowest ICERs for the comparison between the nine-valent vaccine and the quadrivalent vaccine in a girls-only vaccination strategy (556€/QALY) and for the nine-valent vaccine and the quadrivalent vaccine in a universal vaccination (2760€/QALY). For the nine-valent vaccine universal strategy versus the quadrivalent vaccine girls-only strategy, the lowest ICER (5807€/QALY) was achieved while testing a lower discount rate of 1.5% only for outcomes and of 3% for costs. A 1.5% discount rate for outcomes-only also decreased significantly the ICER for the comparison between the nine-valent vaccine and the quadrivalent vaccine in a girls-only vaccination strategy (1546€/QALY) and the nine-valent vaccine and the quadrivalent vaccine in a universal vaccination (3689€/QALY). A decrease in the duration of protection from lifelong in the base case to 20 years resulted in higher incremental costs and lower incremental QALYs producing an overall ICER increase (9 139€/QALY for the comparison between the nine-valent vaccine and the quadrivalent vaccine in a girls-only vaccination strategy, 18 167€/QALY the comparison between nine-valent vaccine and the quadrivalent vaccine in a universal vaccination and 20 845€/QALY when comparing a universal vaccination with the nine-valent vaccine and a girls-only vaccination with the quadrivalent vaccine). The ICERs were not very sensitive to the lower coverage rates in girls-only; when considering the male vaccination in both strategies, a lower overall coverage rate of 60% decreased the ICER to 7165€/QALY. The change in utility values increased the ICER in the comparison with different target population, and remained close to the base case in the other two. Similarly, the inclusion of RRP, penile and H&N cancers indication left the ICER almost unchanged from the base case in the comparisons with the same target population, but it decreased the ICER to 7165€/QALY when comparing a universal vaccination with the nine-valent vaccine and a girls-only vaccination with the quadrivalent vaccine. A lower adherence rate in males (85%) resulted in an ICER almost unchanged in both comparisons considering universal vaccination.

Fig. 4
figure 4

Tornado diagrams comparing the ICERs resulting from the sensitivity analysis


In the current study, we assessed the cost-effectiveness of alternative vaccination strategies against HPV infection in the Italian setting comparing traditional bivalent and quadrivalent vaccines with the newly-available 9-valent vaccine.

The results show that the new nine-valent vaccine has a positive impact on cervical cancer and pre-cancerous lesions. This is of importance as the economic burden of cervical cancer in Italy is estimated at €147million [15]. The introduction of the new vaccination strategy with the nine-valent vaccine would reduce cervical cancer and CIN incidence by 77% in 100 years when vaccinating girls only, which is 13, 17 and 14% more for cervical cancer, CIN1 and CIN2+ respectively than with the quadrivalent vaccine girls-only vaccination strategy. Considering a girls-only vaccination, the analyses provide evidence that the nine-valent vaccine is highly cost-effective in comparison to the quadrivalent vaccine (ICER 4483€/QALY) and cost-saving compared to HPV2. This is a novel result in the Italian setting, as previous comparisons did not include the nine-valent vaccine [9, 22].

The results also suggest that universal vaccination with the nine-valent vaccine could be a cost-effective if compared to girls-only vaccination with the quadrivalent vaccine. The benefits of introducing male vaccination have previously been demonstrated with the quadrivalent vaccine in Italy with the BEST II study [19, 22]. A universal vaccination strategy with the nine-valent vaccine was still cost-effective against the quadrivalent vaccine universal (ICER 10,463€/QALY) and the quadrivalent vaccine girls-only (ICER 13,541€/QALY). Sensitivity analyses showed that results were mostly robust. The ICER was very sensitive to discount rates and the duration of protection. Using a higher discount rate or a reduced duration of protection significantly increased the ICER while no discount or a 1.5% discount rate only for outcomes substantially decreased the ICER. A lower coverage rate in both boys and girls or a lower adherence in males resulted in an ICER almost unchanged. This sensitivity to discount rates was expected since benefits of HPV vaccination occur several years after vaccination. The assumption of lifetime vaccine efficacy used in the base case was based on immunogenicity results and long-term protection of the vaccine available for the quadrivalent vaccine as well as models of long-term immune response [57, 58]. Thus, it is expected that the duration of protection against HPV genotypes 6/11/16/18/31/33/45/52/58 will be the same as the one for the quadrivalent vaccine since the two vaccines have structural similarities.

Showing potential cost-saving results is rarely seen for a new intervention, but our conclusion is in line with results obtained in the US and in Canada. In the US, three studies presented during the ACIP meeting showed that a universal vaccination programme with the nine-valent vaccine was likely to be cost effective and even cost saving compared to the current universal vaccination programme with the quadrivalent vaccine [29,30,31]. Brisson et al. and Chesson et al. found the nine-valent vaccine cost saving with respect to the quadrivalent vaccine if the price premium is below $13 per dose [33, 34]. In Canada, Drolet et al. showed the cost-effectiveness of the nine-valent vaccine if compared to the quadrivalent vaccine with a price premium of $11 [32].

Since in Italy vaccination coverage rates of girls are lower than expected, passing to universal vaccination in Italian regions where only girls are vaccinated with the bivalent or quadrivalent vaccine would have several benefits. First, it would protect females and males against HPV-related diseases and significantly reduce the remaining burden in both genders. Immunization of boys would indirectly protect girls from cancer and also be directly effective in the prevention of HPV-related diseases in men such as anal cancer [59, 60]. Moreover adding HPV vaccination of boys would decrease gender inequalities by protecting men exposed to male partners or unvaccinated females. Finally, it would allow HPV vaccination to become a standard vaccination in pre-adolescents [59].

Moreover, in the study only precancerous cervical lesions and cervical cancers were considered. Therefore, the impact on genital warts and anal cancers were not taken into account which nevertheless represents a substantial burden of HPV-related diseases. Indeed, in Italy, an economic study reported that the costs associated with genital warts in men and women corresponded to almost one quarter of the total costs associated with HPV 6, 11, 16, 18 [15, 59].

It is important to mention that our results may underestimate the additional benefits of the nine-valent vaccine vaccination on CIN. In the study from Hartwig et al. results showed that the HPV6/11/16/18 are responsible for about 24% of CIN1, 45% of CIN2+, 51% of vaginal cancer and 14% of vulvar cancer whereas HPV6/11/16/18/31/33/45/52/58 targeted by the nine-valent vaccine account for 48, 82, 61 and 16% of CIN1, CIN2+, vaginal cancer and vulvar cancer respectively [13]. It means that the 9-valent HPV infections were responsible for twice as much of CIN1 and 1.8 times more for CIN2+ compared the 4-valent HPV whereas the results obtained from the calibrated model indicated that 9-valent HPV accounts for 1.3 times more for CIN1 and 1.2 times more for CIN2+ than 4-valent HPV, minimizing greatly the benefit of the nine-valent vaccine on CIN compared to the quadrivalent vaccine. Moreover, the 9-valent HPV vaccine with the five additional HPV types is likely to protect more against vaginal and vulvar cancers compared to the quadrivalent vaccine and HPV2 [13]. Therefore, the nine-valent vaccine benefits on CIN, vaginal and vulvar cancers are probably underestimated in the present analysis.

Second, the model did not consider neonatal morbidity and mortality due to cervical lesions. Indeed, women treated for CIN with excisional treatments are at increased risk of preterm delivery and low birth weight [61, 62]. By decreasing the number of women treated for CIN, the nine-valent vaccine vaccination could reduce preterm birth number and decrease neonatal morbidity and mortality. Finally, the indirect costs related to productivity losses were not considered in this study. However HPV-related cancers affect women and men at work and their productivity. A study from Lerner et al. (2010) assessed the work performance and productivity impact of HPV in the US, and results showed that employed women with HPV-related cervical lesions had significantly more at-work limitations, higher absence rates and significantly more productivity losses because of absences compared with healthy controls [63].

The duration of protection of the nine-valent vaccine, as well as the quadrivalent vaccine, is not known. In the base case scenario, a lifelong protection was assumed, in accordance with the literature [22]. In order to check the robustness of the results, in the sensitivity analysis the duration of protection was set as short as 20 years. Results showed that the duration of protection had a great impact on the cost-effectiveness. However the ICERs remained below the range of €25,000–€40,000 per QALY [considered as cost-effective in Italy by the AIES (Italian Association of Health Economics)] for all scenarios except for the nine-valent vaccine universal versus the quadrivalent vaccine universal for a 10-year protection duration, indicating that vaccination of boys and girls aged 12 years remained a cost-effective strategy [49].

The major strength of this analysis is that the adaptation of this model originally designed for the US, was achieved through collection and selection of the appropriate data to reflect the Italian current epidemiological, medical and economical context. After the calibration process, the model was able to reproduce closely the observed incidence and mortality of HPV-related diseases in Italy.

This study has some limitations. One limitation of this analysis is that the model involved numerous parameters and not all relevant parameters could be found from Italian-specific studies, which may limit the validity of the results. However, non-Italian specific values have been validated by experts and usually refer to population-independent parameters. In order to simplify the calculations in the model, identical attribution to each of the five additional 9vHPV types, 31, 33, 45, 52, 58 was included. Finally, probabilistic sensitivity analysis was not performed because the interface of the model does not allow to quickly modify and evaluate several scenarios. However, the deterministic sensitivity analyses conducted to address the uncertainty showed that the conclusions of our analysis are robust.

Regarding screening practices, the pap smear test was used in the model and may not well represent the screening programme in Italy as this type of screening is being replaced by HPV-DNA testing in the country, and it could affect the cost effectiveness results. HPV-DNA test was not included in the analysis because Italian-specific data on the implementation of the HPV-DNA test are scarce, and the model does not allow for a flexibility in the use of mixed screening strategies.


This analysis showed the additional benefits of the new technology for the Italian population. With a vaccination coverage rate of about 70% with the nine-valent vaccine, future population will be less exposed to high-risk HPV type and thus the burden of HPV-related diseases in Italy could consequently be reduced. The vaccination of girls only and universal vaccination with the nine-valent vaccine are cost-effective strategies compared with the vaccination of girls with the bivalent or the quadrivalent vaccine.


  1. As of July 6th 2015 USD = 0.906249 EUR.



advisory committee on immunization practices


cervical intraepithelial neoplasia


human papilloma virus


incremental cost-effectiveness ratio


Institut Catala’ d’Oncologia


quality adjusted life year


recurrent respiratory papillomatosis




United Kingdom


United states


vaginal intraepithelial neoplasia


vulvar intraepithelial neoplasia


World Health Organization


  1. National HPV vaccination Program Register. Preliminary estimates of HPV vaccination coverage for males—school based program, first year of program delivery (2013). 2014.

  2. Genital HPV infection—fact sheet. Centers for disease control and prevention. 2015. Accessed 08 June 2015.

  3. HPV (human papillomavirus). Food and drug administration. Accessed 08 June 2015.

  4. Giuliano AR, Nyitray AG, Kreimer AR, Pierce Campbell CM, Goodman MT, Sudenga SL, et al. EUROGIN 2014 roadmap: differences in human papillomavirus infection natural history, transmission and human papillomavirus-related cancer incidence by gender and anatomic site of infection. Int J Cancer. 2015;136(12):2752–60. doi:10.1002/ijc.29082.

    Article  CAS  PubMed  Google Scholar 

  5. Human papillomavirus (HPV) and cervical cancer. World Health Organization. 2015.

  6. Introduction of HPV vaccines in European union countries—an update. European centre for disease prevention and control. 2015. Accessed 1 June 2015.

  7. de Sanjose S, Serrano B, Castellsague X, Brotons M, Munoz J, Bruni L, et al. Human papillomavirus (HPV) and related cancers in the global alliance for vaccines and immunization (GAVI) countries. A WHO/ICO HPV information centre report. Vaccine. 2012;30(Suppl 4):D1–83. doi:10.1016/S0264-410X(12)01435-1.

    PubMed  Google Scholar 

  8. Human papillomavirus (HPV) and cervical cancer. World Health Organization. 2015. Accessed 6 Aug 2015.

  9. Mennini FS, Giorgi Rossi P, Palazzo F, Largeron N. Health and economic impact associated with a quadrivalent HPV vaccine in Italy. Gynecol Oncol. 2009;112(2):370–6. doi:10.1016/j.ygyno.2008.09.031.

    Article  CAS  PubMed  Google Scholar 

  10. ISTAT, Istituto Nazionale di Statistica. Accessed 3 Feb 2015.

  11. Merck. Merck’s investigational 9-valent HPV Vaccine, V503, prevented 97 percent of cervical, vaginal and vulvar pre-cancers caused by five additional HPV types, in phase III study. 2015. Accessed 1 Dec 2014.

  12. Summary of opinion Gardasil 9 human papillomavirus 9-valent vaccine (recombinant, adsorbed). European medicine agency, committee for medicinal products for human use. 2015. Accessed 15 June 2015.

  13. Hartwig S, Baldauf JJ, Dominiak-Felden G, Simondon F, Alemany L, de Sanjosé S, et al. Estimation of the epidemiological burden of HPV-related cancers, precancerous lesions, and genital warts in women and men in Europe: potential additional benefit of a nine-valent second generation HPV vaccine compared to first generation HPV vaccines. Papillomavirus Res. 2015;1:90–100.

    Article  Google Scholar 

  14. FDA approves Gardasil 9 for prevention of certain cancers caused by five additional types of HPV. Food and drug adminstration. 2014. Accessed 12 Aug 2015.

  15. Baio G, Capone A, Marcellusi A, Mennini FS, Favato G. Economic burden of human papillomavirus-related diseases in Italy. PLoS ONE. 2012;7(11):e49699. doi:10.1371/journal.pone.0049699.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Van Effelterre T, Hogea C, Taylor S. Projected impact of cervarix(R) vaccination on oncogenic human papillomavirus infection and cervical cancer in the United Kingdom. Hum Vaccines Immunother. 2014;10(7):1794. doi:10.4161/hv.28834.

    Google Scholar 

  17. Dasbach EJ, Insinga RP, Elbasha EH. The epidemiological and economic impact of a quadrivalent human papillomavirus vaccine (6/11/16/18) in the UK. BJOG. 2008;115(8):947–56. doi:10.1111/j.1471-0528.2008.01743.x.

    Article  CAS  PubMed  Google Scholar 

  18. Dasbach EJ, Largeron N, Elbasha EH. Assessment of the cost-effectiveness of a quadrivalent HPV vaccine in Norway using a dynamic transmission model. Expert Rev Pharmacoeconomics Outcomes Res. 2008;8(5):491–500. doi:10.1586/14737167.8.5.491.

    Article  Google Scholar 

  19. Elbasha EH, Dasbach EJ. Impact of vaccinating boys and men against HPV in the United States. Vaccine. 2010;28(42):6858–67. doi:10.1016/j.vaccine.2010.08.030.

    Article  PubMed  Google Scholar 

  20. Elbasha EH, Dasbach EJ, Insinga RP. Model for assessing human papillomavirus vaccination strategies. Emerg Infect Dis. 2007;13(1):28–41. doi:10.3201/eid1301.060438.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Favato G, Baio G, Capone A, Marcellusi A, Costa S, Garganese G, et al. Novel health economic evaluation of a vaccination strategy to prevent HPV-related diseases: the BEST study. Med Care. 2012;50(12):1076–85. doi:10.1097/MLR.0b013e318269e06d.

    Article  PubMed  Google Scholar 

  22. Haeussler K, Marcellusi A, Mennini FS, Favato G, Picardo M, Garganese G, Bononi M, Costa S, Scambia G, Zweifel P, Capone A, Baio G. Cost-effectiveness analysis of universal human papillomavirus vaccination using a dynamic Bayesian methodology: the BEST II study. Value Health. 2015;18(8):956–68.

    Article  PubMed  Google Scholar 

  23. Capri S, Bamfi F, Marocco A, Demarteau N. Impatto clinico ed economico della vaccinazione anti-HPV. Ital J Public Health. 2007;4(Suppl 1):55–81.

    Google Scholar 

  24. La Torre G, de Waure C, Chiaradia G, Manocci A, Capri S, Ricciardi W. The health technology assessment of bivalent HPV vaccine cervarix® in Italy. Vaccine. 2010;28(19):3379–84.

    Article  PubMed  Google Scholar 

  25. Accetta G, Biggeri A, Carreras G, Lippi G, Carozzi FM, Confortini M, Zappa M, Paci E. Is human papillomavirus screening preferable to current policies in vaccinated and unvaccinated women? a cost-effectiveness analysis. J Med Screen. 2010;17(4):9.

    Article  Google Scholar 

  26. Bergeron C, Largeron N, McAllister R, Mathevet P, Remy V. Cost-effectiveness analysis of the introduction of a quadrivalent human papillomavirus vaccine in France. Int J Technol Assess Health Care. 2008;24(1):10–9. doi:10.1017/S0266462307080026.

    Article  PubMed  Google Scholar 

  27. Jit M, Chapman R, Hughes O, Choi YH. Comparing bivalent and quadrivalent human papillomavirus vaccines: economic evaluation based on transmission model. BMJ. 2011;343:d5775.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Jit M, Choi YH, Edmunds WJ. Economic evaluation of human papillomavirus vaccination in the United Kingdom. BMJ. 2008;337:a769.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Brisson M. Incremental cost-effectiveness of the 9-valent vs. the 4-valent HPV vaccine in the US advisory committee on immunization practices (ACIP) meeting. Atlanta: ACIP; 2014.

  30. Chesson H. Overview of cost-effectiveness of 9-valent HPV vaccination. Atlanta: Advisory Committee on Immunization Practices; 2015.

    Google Scholar 

  31. Weiss TW, Pillsbury MT, Dasbach EJ. Potential health and economic impact of the investigational 9-valent HPV vaccine in the United States. International papillomavirus conference; 08/21/2014; Seattle 2014.

  32. Drolet M, Laprise JF, Boily MC, Franco EL, Brisson M. Potential cost-effectiveness of the nonavalent human papillomavirus (HPV) vaccine. Int J Cancer. 2014;134(9):2264–8. doi:10.1002/ijc.28541.

    Article  CAS  PubMed  Google Scholar 

  33. Brisson M, Laprise JF, Chesson HW, Drolet M, Malagon T, Boily MC, et al. Health and economic impact of switching from a 4-valent to a 9-valent HPV vaccination program in the United States. J Natl Cancer Inst. 2015;108(1):djv282. doi:10.1093/jnci/djv282.

    Article  PubMed  Google Scholar 

  34. Chesson HW, Markowitz LE, Hariri S, Ekwueme DU, Saraiya M. The impact and cost-effectiveness of nonavalent HPV vaccination in the United States: estimates from a simplified transmission model. Hum Vaccines Immunother. 2016. doi:10.1080/21645515.2016.1140288.

    Google Scholar 

  35. Boiron L, Joura E, Largeron N, Prager B, Uhart M. Estimating the cost-effectiveness profile of a universal vaccination programme with a nine-valent HPV vaccine in Austria. BMC Infect Dis. 2016;16(1):153. doi:10.1186/s12879-016-1483-5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Mercer CH, Tanton C, Prah P, Erens B, Sonnenberg P, Clifton S, et al. Changes in sexual attitudes and lifestyles in Britain through the life course and over time: findings from the national surveys of sexual attitudes and lifestyles (Natsal). Lancet. 2013;382(9907):1781–94. doi:10.1016/S0140-6736(13)62035-8.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Eurocare survival of cancer patient in Europe. Istituto Nazionale Tumori, Istituto Superiore di Sanità 2015.

  38. Osservatorio nazionale screening. I programmi di screening in Italia: cervicale, colorettale, mammografico. 2014.

  39. Cervical screening programme, England 2013–2014. Health and social care information centre 2014.

  40. Giambi C. Stato di avanzamento della campagna vaccinale per l’HPV: dati di copertura vaccinale al 31/12/2014—Rapporto semestrale. 2014.

  41. Coperture vaccinali per HPV: dati di copertura vaccinale al 31/12/2014. Ministero della Salute.

  42. Ault KA. Effect of prophylactic human papillomavirus L1 virus-like-particle vaccine on risk of cervical intraepithelial neoplasia grade 2, grade 3, and adenocarcinoma in situ: a combined analysis of four randomised clinical trials. Lancet. 2007;369(9576):1861–8. doi:10.1016/s0140-6736(07)60852-6.

    Article  PubMed  Google Scholar 

  43. Garland SM, Hernandez-Avila M, Wheeler CM, Perez G, Harper DM, Leodolter S, et al. Quadrivalent vaccine against human papillomavirus to prevent anogenital diseases. New Engl J Med. 2007;356(19):1928–43. doi:10.1056/NEJMoa061760.

    Article  CAS  PubMed  Google Scholar 

  44. Giuliano AR, Palefsky JM, Goldstone S, Moreira ED Jr, Penny ME, Aranda C, et al. Efficacy of quadrivalent HPV vaccine against HPV Infection and disease in males. New Engl J Med. 2011;364(5):401–11. doi:10.1056/NEJMoa0909537.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Joura EA, Giuliano AR, Iversen OE, Bouchard C, Mao C, Mehlsen J, et al. A 9-valent HPV vaccine against infection and intraepithelial neoplasia in women. New Engl J Med. 2015;372(8):711–23. doi:10.1056/NEJMoa1405044.

    Article  CAS  PubMed  Google Scholar 

  46. Joura EA, Leodolter S, Hernandez-Avila M, Wheeler CM, Perez G, Koutsky LA, et al. Efficacy of a quadrivalent prophylactic human papillomavirus (types 6, 11, 16, and 18) L1 virus-like-particle vaccine against high-grade vulval and vaginal lesions: a combined analysis of three randomised clinical trials. Lancet. 2007;369(9574):1693–702. doi:10.1016/s0140-6736(07)60777-6.

    Article  CAS  PubMed  Google Scholar 

  47. Palefsky JM, Giuliano AR, Goldstone S, Moreira ED Jr, Aranda C, Jessen H, et al. HPV vaccine against anal HPV infection and anal intraepithelial neoplasia. New Engl J Med. 2011;365(17):1576–85. doi:10.1056/NEJMoa1010971.

    Article  CAS  PubMed  Google Scholar 

  48. World Health Organization. Comprehensive cervical cancer control: a guide to essential practice. 2nd ed. WHO guidelines approved by the guidelines review committee. Geneva: World Health Organization; 2014.

  49. Fattore G. Proposta di linee guida per la valutazione economica degli interventi sanitari in Italia. Pharmacoeconomics-Ital-Res-Articles. 2009;11(2):83–93. doi:10.1007/BF03320660.

  50. Decreto 18 ottobre 2012. Remunerazione delle prestazioni di assistenza ospedaliera per acuti, assistenza ospedaliera di riabilitazione e di lungodegenza post acuzie e di assistenza specialistica ambulatoriale. Gazzetta Ufficiale della Repubblica Italiana; 2013.

  51. Indice dei prezzi al consumo per l’intera collettivita’, Indice Nazionale—Indice Generale.

  52. Giambi C. DS. Rapporti ISTISAN—Workshop la prevenzione dell’infezione da papilloma virus umano in Italia. 2009.

  53. Lindman JP, Lewis LS, Accortt N, Wiatrak BJ. Use of the pediatric quality of life inventory to assess the health-related quality of life in children with recurrent respiratory papillomatosis. Ann Otol Rhinol Laryngol. 2005;114(7):499–503. doi:10.1177/000348940511400701.

    Article  PubMed  Google Scholar 

  54. Mennini FS, Panatto D, Marcellusi A, Cristoforoni P, De VR, Di CE, et al. Time trade-off procedure for measuring health utilities loss with human papillomavirus-induced diseases: a multicenter, retrospective, observational pilot study in Italy. Clin Ther. 2011;33(8):1084–95. doi:10.1016/j.clinthera.2011.06.012.

    Article  PubMed  Google Scholar 

  55. ICO. Human papillomavirus and related diseases report—Italy. 2014.

  56. Hartwig S, Syrjanen S, Dominiak-Felden G, Brotons M, Castellsague X. Estimation of the epidemiological burden of human papillomavirus-related cancers and non-malignant diseases in men in Europe: a review. BMC Cancer. 2012;12:30. doi:10.1186/1471-2407-12-30.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Gardasil, Summary of product characteristics. European medicines agency 2015 (2015).

  58. Fraser C, Tomassini JE, Xi L, Golm G, Watson M, Giuliano AR, et al. Modeling the long-term antibody response of a human papillomavirus (HPV) virus-like particle (VLP) type 16 prophylactic vaccine. Vaccine. 2007;25(21):4324–33. doi:10.1016/j.vaccine.2007.02.069.

    Article  CAS  PubMed  Google Scholar 

  59. Audisio RA, Icardi G, Isidori AM, Liverani CA, Lombardi A, Mariani L, et al. Public health value of universal HPV vaccination. Crit Rev Oncol/Hematol. 2016;97:157–67. doi:10.1016/j.critrevonc.2015.07.015.

    Article  Google Scholar 

  60. Bonanni P, Gabutti G, Demarteau N, Boccalini S, La Torre G. Vaccination of boys or catch-up of girls above 11 years of age with the HPV-16/18 AS04-adjuvanted vaccine: where is the greatest benefit for cervical cancer prevention in Italy? BMC Infect Dis. 2015;15(1):377. doi:10.1186/s12879-015-1067-9.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Kyrgiou M, Koliopoulos G, Martin-Hirsch P, Arbyn M, Prendiville W, Paraskevaidis E. Obstetric outcomes after conservative treatment for intraepithelial or early invasive cervical lesions: systematic review and meta-analysis. Lancet. 2006;367(9509):489–98. doi:10.1016/s0140-6736(06)68181-6.

    Article  CAS  PubMed  Google Scholar 

  62. Bruinsma FJ, Quinn MA. The risk of preterm birth following treatment for precancerous changes in the cervix: a systematic review and meta-analysis. BJOG. 2011;118(9):1031–41. doi:10.1111/j.1471-0528.2011.02944.x.

    Article  CAS  PubMed  Google Scholar 

  63. Lerner D, Parsons SK, Justicia-Linde F, Chelmow D, Chang H, Rogers WH, et al. The impact of precancerous cervical lesions on functioning at work and work productivity. J Occup Environ Med. 2010;52(9):926–33. doi:10.1097/JOM.0b013e3181f12fb0.

    Article  PubMed  Google Scholar 

Download references

Authors’ contributions

PG, BF, UM, RA and NL collected of the data and carried out the analyses. MFS, BP, dWC and BG validated the data. All the authors contributed in interpreting the results and writing the manuscript. All authors read and approved the final manuscript.


The authors would like to thank Caroline Guilmet from Mapi for medical writing assistance.

Competing interests

Mathieu Uhart, Alessandro Rinaldi and Natalie Largeron: employees of Sanofi Pasteur MSD which commercializes the vaccine Gardasil 9® in Europe. Giacomo Plazzotta and Florence Bianic are employees of Mapi Group who received funding from Sanofi Pasteur MSD to conduct this study. Francesco Saverio Mennini, Paolo Bonanni, Chiara de Waure and Gianluca Baio: has received grants from Sanofi Pasteur MSD for taking part in advisory boards, expert meetings, being a speaker of congresses/conferences.

Availability of data and materials

All data generated or analysed during this study are included in this published article and its Additional file 1.


This study was sponsored by Sanofi Pasteur MSD. The authors Mathieu Uhart, Alessandro Rinaldi and Natalie Largeron are affiliated with Sanofi Pasteur MSD as the funding organization and have had a role in the study design and collection, analysis, and interpretation of data and in writing the manuscript. This does not alter our adherence to editorial policies on sharing data and materials.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Mathieu Uhart.

Additional file

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted 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. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mennini, F.S., Bonanni, P., Bianic, F. et al. Cost-effectiveness analysis of the nine-valent HPV vaccine in Italy. Cost Eff Resour Alloc 15, 11 (2017).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: