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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
N Engl J Med. Author manuscript; available in PMC 2011 April 20.
Published in final edited form as:
PMCID: PMC3080183
NIHMSID: NIHMS115768

Health and Economic Implications of HPV Vaccination in the United States

Jane J. Kim, Ph.D. and Sue J. Goldie, M.D., M.P.H.

Abstract

BACKGROUND

The cost-effectiveness of prophylactic vaccination against human papillomavirus types 16 (HPV-16) and 18 (HPV-18) is an important consideration for guidelines for immunization in the United States.

METHODS

We synthesized epidemiologic and demographic data using models of HPV-16 and HPV-18 transmission and cervical carcinogenesis to compare the health and economic outcomes of vaccinating preadolescent girls (at 12 years of age) and vaccinating older girls and women in catch-up programs (to 18, 21, or 26 years of age). We examined the health benefits of averting other HPV-16–related and HPV-18–related cancers, the prevention of HPV-6–related and HPV-11–related genital warts and juvenile-onset recurrent respiratory papillomatosis by means of the quadrivalent vaccine, the duration of immunity, and future screening practices.

RESULTS

On the assumption that the vaccine provided lifelong immunity, the cost-effectiveness ratio of vaccination of 12-year-old girls was $43,600 per quality-adjusted life-year (QALY) gained, as compared with the current screening practice. Under baseline assumptions, the cost-effectiveness ratio for extending a temporary catch-up program for girls to 18 years of age was $97,300 per QALY; the cost of extending vaccination of girls and women to the age of 21 years was $120,400 per QALY, and the cost for extension to the age of 26 years was $152,700 per QALY. The results were sensitive to the duration of vaccine-induced immunity; if immunity waned after 10 years, the cost of vaccination of preadolescent girls exceeded $140,000 per QALY, and catch-up strategies were less cost-effective than screening alone. The cost-effectiveness ratios for vaccination strategies were more favorable if the benefits of averting other health conditions were included or if screening was delayed and performed at less frequent intervals and with more sensitive tests; they were less favorable if vaccinated girls were preferentially screened more frequently in adulthood.

CONCLUSIONS

The cost-effectiveness of HPV vaccination will depend on the duration of vaccine immunity and will be optimized by achieving high coverage in preadolescent girls, targeting initial catch-up efforts to women up to 18 or 21 years of age, and revising screening policies.

In the united states, cervical cancer developed in an estimated 11,150 women and caused death in 3600 women in 2007.1 Infection with high-risk “oncogenic” types of human papillomavirus (HPV) is the cause of 100% of cervical cancers, 90% of anal cancers, 40% of vulvar and vaginal cancers, at least 12% of oropharyngeal cancers, and 3% of oral cancers.2 Worldwide, HPV types 16 (HPV-16) and 18 (HPV-18) cause approximately 70% of cases of cervical cancer.3,4

Vaccines against HPV-16 and HPV-18 appear to be highly efficacious in preventing HPV-16 and HPV-18 infections and cervical lesions in girls and women who have not previously been infected with these types.59 The vaccine currently licensed in the United States also prevents HPV types 6 and 11 (HPV-6 and HPV-11), which are responsible for most genital warts and juvenile-onset recurrent respiratory papillomatosis.10

There are important questions regarding the appropriate target population for prophylactic vaccination against HPV-16 and HPV-18. Since the vaccine is most efficacious before the onset of sexual activity, most investigators agree that the target population for routine immunization should be adolescents who are approximately 12 years of age.11,12 Recommended temporary catch-up programs to provide vaccine coverage to girls and women 13 years of age and older range from an upper age limit of 18 to 26 years.11,12

The impact of HPV vaccination on the rate of cervical cancer will not be observable for decades; thus, decisions regarding a vaccination policy will inevitably rely on studies reporting intermediate outcomes. Estimating the magnitude of the benefit of vaccination is further complicated when one considers the extensive secondary-prevention program in the United States. This program, which involves the use of cytology-based screening, is recommended annually or biennially, starting 3 years after the first sexual intercourse and no later than 21 years of age.1315 HPV DNA testing is recommended as a triage test for equivocal results of cytologic analysis and in combination with cytologic tests for primary screening in women 30 years of age or older.16

Before long-term data become available, mathematical models used in a decision-analytic framework that synthesize the best available data while ensuring consistency with epidemiologic observations can project outcomes beyond those reported in clinical trials, provide insight into key drivers of cost-effectiveness, and be revised as new information emerges. Extending previous studies of HPV vaccination,1722 we evaluated the cost-effectiveness of vaccinating 12-year-old girls and of temporary catch-up programs. We considered the dynamics of HPV transmission, the duration of vaccine efficacy, the potential benefits of preventing noncervical HPV-related conditions, the anticipated changes in screening practice, and potential disparities in access to care.

METHODS

ANALYTIC OVERVIEW

Synthesizing epidemiologic, clinical, and demographic data from the United States, we used empirically calibrated simulation models to estimate the lifetime costs and benefits of vaccinating 12-year-old girls (herein referred to as the vaccination of preadolescent girls), as well as catch-up programs in girls and women up to 18, 21, or 26 years of age, in the context of current cytology-based screening in the United States. The base-case analysis was intended to be relevant to both the bivalent and quadrivalent HPV vaccines and therefore focused on the outcomes of cervical cancer. To examine the additional benefits of the vaccine for which empirical data were available, we also assessed the effect of the quadrivalent vaccine on HPV-6–associated and HPV-11–associated genital warts. Although the efficacy of the vaccine against noncervical HPV-16–associated and HPV-18–associated cancers and HPV-6–associated and HPV-11–associated juvenile-onset recurrent respiratory papillomatosis is more uncertain, we assessed the effect of their inclusion on our results. Although we assumed lifelong complete protection against the vaccine-targeted types of HPV in the base-case analysis, we evaluated the effect of waning vaccine-induced immunity (without and with a booster). Other uncertainties that we evaluated included cross-protection of the vaccine against high-risk types of HPV that did not include HPV-16 and HPV-18, the increased incidence of high-risk types of HPV that did not include HPV-16 and HPV-18, disparities in vaccination and screening coverage, and revisions in screening practices.

We adopted a societal perspective, discounted costs and benefits by 3% annually, and expressed benefits as quality-adjusted life-years (QALYs) gained. After eliminating strategies that were more costly and less effective or less costly and less cost-effective than an alternative strategy, incremental cost-effectiveness ratios were calculated as the additional cost divided by the additional health benefit associated with one strategy as compared with the next-less-costly strategy. Although there is no consensus on a cutoff point for good value for resources, we interpreted our results in terms of a commonly cited threshold of $50,000 per QALY gained, as well as an upper-bound threshold of $100,000 per QALY gained.23

MODELS

We used a flexible modeling approach that included a dynamic model to simulate the sexual transmission of HPV-16 and HPV-18 infections between men and women and an individual-based stochastic model to simulate the cervical carcinogenesis associated with all types of HPV. Both models have been described previously.24,25 Briefly, the dynamic model is an open-cohort, age-structured compartmental model in which women and men form sexual partnerships over time. Women and men enter the susceptible pool on sexual initiation starting at 10 years of age, and with each partnership, HPV-16 or HPV-18 may be transmitted, depending on the number of new partners, the prevalence of HPV among the opposite sex, and the probabilities of transmission of HPV-16 and HPV-18 from an infected partner. After the first HPV infection and clearance, partial type-specific natural immunity develops, effectively reducing a person’s susceptibility to future infections of the same type. Grade 1 cervical intraepithelial neoplasia (CIN 1) or grade 2 or 3 CIN (CIN 2/3) can develop in women with HPV-16 or HPV-18 infection, and invasive cancer may develop in women with CIN 2/3.

The individual-based stochastic model has a similar structure. However, all types of HPV (categorized as HPV-16, HPV-18, other high-risk types of HPV, and low-risk types of HPV) are included, the incidence of HPV is a function of age and individual-level characteristics, it keeps track of each person’s history (e.g., vaccination, screening, treatment, and past abnormalities), and it can accommodate complex screening strategies.25,26 The dynamic model was used to estimate reductions in the age-specific incidence of HPV-16 and HPV-18 with vaccination, reflecting the direct benefits to persons who were vaccinated, as well as indirect benefits, because of herd immunity, to those who were not vaccinated. The generated reductions in the incidence of HPV-16 and HPV-18 served as inputs to the stochastic model, which was used to compare multiple strategies for the prevention of cervical cancer. The specific features of the individual-based stochastic model allowed us to identify the synergies between vaccination and screening, study the implications of disparities in vaccination and screening coverage, assess the effect of cross-protection to other types of HPV, and explore the potential for an increase in the incidence of types of HPV that were not targeted by the vaccine.

The initial variables from the models were based on data from epidemiologic studies, cancer registries, and demographic statistics. The models were calibrated with the use of a likelihood-based approach to fit to empirical data, such as the age-specific prevalence of HPV, the age-specific incidence of cervical cancer, and the distribution of types of HPV observed among girls and women in the U.S. population.3,4,2731 These approaches have been described elsewhere,24,25 and details relevant to the current analysis are provided in the Supplementary Appendix, available with the full text of this article at www.nejm.org.

For noncervical cancer conditions, data included the incidence of other HPV-16–associated and HPV-18–associated cancers; the incidence of low-risk, HPV-associated genital warts and juvenile-onset recurrent respiratory papillomatosis; the proportion of each disease attributable to vaccine-targeted types of HPV; and the disease-specific quality of life, costs, and mortality2,10,3241 (Table 1). Costs (in 2006 U.S. dollars) included the direct medical costs associated with screening, diagnosis, and treatment (e.g., tests, procedures, and hospitalizations) and with vaccination (e.g., three doses of the vaccine at $120 per dose, wastage, supplies, and administration).4245 Direct non-medical costs such as the patients’ time and transportation were included for all strategies.

Table 1
Values for HPV-Related Health Conditions in the Model.*

COST-EFFECTIVENESS ANALYSIS

To estimate the long-term outcomes associated with vaccination and screening, we projected the lifetime health and economic consequences for all birth cohorts of women in the first 10 years of the vaccine program. We included all birth cohorts, regardless of whether or not they received the vaccine, to capture the benefits of herd immunity in unvaccinated persons (see the Supplementary Appendix). The incremental costs and the health benefits of each vaccination strategy as compared with screening alone served as the basis for calculations of cost-effectiveness.

Strategies included HPV vaccination of 12-year-old girls and catch-up vaccination over a 5-year period for girls and women from 13 years of age to 18, 21, or 26 years of age. On the basis of rates of vaccinations among adolescents in the United States,46 we assumed that approximately 75% of the target population was covered within the first 5 years after the beginning of the program, at a coverage rate of 25% per year (Fig. 1). The efficacy of the vaccine was assumed to be lifelong and 100% against the types of HPV targeted by the vaccine among girls and women without a previous history of those infections.

Figure 1
Vaccination Coverage

All strategies included routine screening for cervical cancer with conventional or liquid-based cytologic testing, beginning in women at an average age of 20 years, according to U.S. guide-lines that recommend that screening should start 3 years after the first sexual intercourse.13,47 Abnormal results of cytologic tests were managed according to standard clinical guidelines.48 On the basis of reported patterns of cervical-cancer screening in women in the United States,4951 we assumed that 53% of women were screened annually, 17% every 2 years, 11% every 3 years, and 14% every 5 years and that 5% were never screened. We considered scenarios in which girls who were unlikely to be vaccinated were also unlikely to be screened. We also assessed the implications of screening less frequently (every 3 or 5 years), delaying the initiation of screening (until 25 years of age), and the use of HPV DNA testing.52

To gauge the benefits of the quadrivalent vaccine against HPV-6 and HPV-11 in women, we modeled the age-specific incidence and duration of genital warts,35 including their effect on quality of life and treatment costs,36,38 and we estimated the quality-adjusted life expectancy gained and costs averted with vaccination. Similarly, we estimated the number of cases of juvenile-onset recurrent respiratory papillomatosis averted per vaccinated woman using data on the number of births per woman,53 annual incidence rates of juvenile-onset recurrent respiratory papillomatosis per live child,37 costs per case, and effects on quality of life.38,40 For both vaccines, we modeled age-specific incidence rates of HPV-16–associated and HPV-18–associated noncervical cancer among women,32 taking into account cancer-specific mortality and health-state utility weights (i.e., values from 0 to 1 indicating the quality of a person’s state of health, with 0 indicating death and 1 indicating perfect health),32,39 to estimate quality-adjusted life expectancy gained and costs averted (Table 1). Vaccination was assumed to reduce the proportion of cases attributable to vaccine-targeted types of HPV, and we varied the efficacy on these conditions from 50% to 100% (see the Supplementary Appendix for additional details on noncervical conditions).

RESULTS

COST-EFFECTIVENESS OF VACCINATION

The routine vaccination of 12-year-old girls, in the context of current screening and assuming lifelong vaccine-induced immunity, had an incremental cost-effectiveness ratio of $43,600 per QALY gained, as compared with screening alone (Table 2). The addition of a 5-year catch-up program for girls between the ages of 13 and 18 years cost $97,300 per QALY, and extension to 21 years of age cost $120,400 per QALY. The extension of the catchup program to 26 years of age cost $152,700 per QALY, as compared with the catch-up program to 21 years of age.

Table 2
Cost-Effectiveness of Vaccination of Preadolescent Girls and Temporary Catch-Up Programs.*

Inclusion of protection against HPV-6–related and HPV-11–related genital warts reduced the cost per QALY for vaccination of preadolescent girls by 20% to $34,900, for catch-up to 18 years of age by 17% to $81,000, and for catch-up to 21 years of age by 16% to $101,300. The cost per QALY for catchup to 26 years of age was reduced by only 13%, to $133,600.

INCLUSION OF OTHER HPV-ASSOCIATED CONDITIONS

When the potential benefits associated with preventing noncervical HPV-16–related and HPV-18–related cancers and HPV-6–related and HPV-11–related juvenile-onset recurrent respiratory papillomatosis were included, cost-effectiveness ratios were reduced. The magnitude of these reductions depended on the specific outcomes that were included and on assumptions about the efficacy of the vaccine (Fig. 2). In all scenarios, the cost of vaccination of preadolescent girls remained below $50,000 per QALY, and catch-up vaccination of girls to 18 years of age remained between $50,000 and $100,000 per QALY.

Figure 2
Effect of Inclusion of Other Health Conditions on the Cost-Effectiveness of Vaccination Strategies

EFFECT OF WANING IMMUNITY, VACCINE CROSS-PROTECTION, AND TYPE REPLACEMENT

If vaccine-induced immunity lasted only 10 years, the vaccination of preadolescent girls provided only 2% marginal improvement in the reduction in the risk of cervical cancer as compared with screening alone, and it cost $144,100 per QALY, whereas catch-up programs were more costly and less effective than screening alone (Table 3). With a completely efficacious vaccine booster at 10 years, the cost of vaccination of preadolescent girls was $83,300 per QALY, although catch-up strategies exceeded $125,000 per QALY. There were marginal improvements in cost-effectiveness when cross-protective effects were included against other high-risk types of HPV.8 Furthermore, in a separate analysis, with a 5% increase in the baseline risk of infection with high-risk types of HPV other than HPV-16 and HPV-18, the cost per QALY of vaccination of preadolescent girls increased from $43,600 to $53,000.

Table 3
Effect of Uncertain Vaccine Properties on Cost-Effectiveness.*

EFFECT OF PATTERNS OF VACCINATION AND SCREENING COVERAGE

If 5% of women in the United States were neither screened nor vaccinated, all strategies that involved a catch-up program exceeded $100,000 per QALY; catch-up to 26 years of age exceeded $200,000 per QALY (Table 4). The ratios became even less attractive when we assumed that girls who were vaccinated were preferentially screened more frequently in adulthood.

Table 4
Effect of Disparities in Vaccination and Screening Coverage and Revised Cervical-Cancer Screening Policies on Cost-Effectiveness.*

Even if all women were equally likely to be screened, the cost-effectiveness of vaccination was influenced by the frequency of screening and test protocols. With annual and biennial screening, the cost of vaccination of preadolescent girls increased to $118,200 and $45,800 per QALY, respectively; the negative effect on the cost-effectiveness of catch-up programs was greater, with catch-up vaccination of girls and women up to 26 years of age increasing to more than $300,000 and approximately $190,000 per QALY, respectively. The cost-effectiveness ratio for the vaccination of preadolescent girls associated with initiating screening later (e.g., at 25 years of age) with the use of cytologic tests with HPV triage every 3 years, followed by combined HPV DNA testing and cytologic tests for primary screening after 35 years of age, was similar to the base case, although catchup vaccination programs for women up to 21 and 26 years of age were associated with higher cost-effectiveness ratios (see additional results in the Supplementary Appendix).

DISCUSSION

Vaccination against HPV-16 and HPV-18 is expected to be economically attractive (i.e., <$50,000 per QALY) if high coverage can be achieved in the primary target group of 12-year-old girls and if vaccine-induced immunity is lifelong. Under these conditions, if we are willing to pay $100,000 per QALY, a catch-up program for girls between 13 and 18 years of age appears to be reasonable, especially when we include the benefits of averting genital warts (with the use of the quadrivalent vaccine) or the benefits of cross-protection against other high-risk types of HPV not including HPV-16 and HPV-18 (as reported with the bivalent vaccine). Extending the catch-up program to 21 years of age is less cost-effective, but it also becomes more favorable when the potential benefits of preventing noncervical HPV-16–associated and HPV-18–associated cancers in women are included.

Extending vaccine coverage to women up to 26 years of age generally exceeds $130,000 per QALY. This result is not unexpected, since nearly 90% of women in the United States have had vaginal intercourse by 24 years of age47 and up to 30% of women may be exposed to HPV in the first year of intercourse.54 The cost of extending a catch-up program to women up to 26 years of age is less than $100,000 per QALY only in the context of 100% lifelong efficacy against other outcomes associated with HPV-16, HPV-18, HPV-6, and HPV-11 in women; these outcomes include cervical cancer, warts, other cancers, and juvenile-onset recurrent respiratory papillomatosis. The cost of extending this program is more than $200,000 per QALY when a booster is required to maintain lifelong immunity, when there are disparities in screening and vaccination coverage, and when vaccinated girls undergo frequent screening in adulthood. The benefits of vaccine in most HPV-16 and HPV-18 noncervical cancers and HPV-6 and HPV-11 juvenile-onset recurrent respiratory papillomatosis have not been shown in clinical studies.

Our results were sensitive to the duration of vaccine-induced immunity; if immunity lasted 10 years, the vaccination of preadolescent girls exceeded $140,000 per QALY, and all catch-up strategies were less cost-effective than screening alone. Although immunologic data have provided support for a strong initial immune response with antibody levels persisting at a level higher than the level after natural infection,9,55,56 observations in published reports are limited to 5 years after vaccination. With partial natural immunity to type-specific infection, if a vaccinated girl loses vaccine-induced protection and becomes susceptible at a later age when the risk of cancer may be higher, an increased risk of cervical cancer is plausible. There are no empirical data to show whether reinfection or reactivation of a previous infection predominates in older women; as previously described,17 which one of these predominates will influence the implications of waning vaccine protection. There are other important uncertainties. Although HPV infections may be independent from one another,56 our exploratory analysis showed that replacement of the vaccine-targeted types of HPV with other high-risk types could be influential. Vaccination against HPV may also alter sexual behavior in the population or lead to a misperception that screening is no longer necessary. These uncertainties highlight the priorities for surveillance of epidemiologic characteristics and behaviors after vaccination against HPV.

Our results of vaccinating preadolescent girls were consistent with those of other studies.1722,57,58 Elbasha et al.21 reported that the cost of a catchup program in women up to 24 years of age was less than $5,000 per QALY; none of our strategies had a cost-effectiveness ratio this low, and the cost of a catch-up program in women up to 26 years of age generally exceeded $100,000 per QALY. Differences in assumptions have been summarized in several review articles.5961 Our findings, which were consistent with those of others,20,22 were that high vaccination coverage warranted modification of screening protocols and that the cost-effectiveness of vaccination was enhanced with less frequent screening with more sensitive tests and beginning at later ages.

Our analysis has important limitations. Data on sexual behavior were primarily based on population averages from large surveys, and there were limited data on type-specific HPV transmission according to age and sex. By means of a model-fitting process, we estimated probabilities of transmission that were higher than those of some other analyses62,63; as better data become available, the estimation of these variables may be refined. Other limitations of the data included the incidence, mortality, and quality of life associated with noncervical HPV-related cancers, the long-term efficacy of the vaccine against cervical lesions and warts, and the efficacy of the vaccine against non-cervical cancers. As with all model-based analyses, there are trade-offs with regard to the choice of model structure; we used two different modeling techniques to try to best capture the features of HPV infection and cervical carcinogenesis that were most relevant to the key policy questions. The complexities that are introduced with the use of multiple models should be explored further.24

A decision-analytic approach allows for acknowledgment of uncertainty while informing decisions that need to be made now. Accordingly, we emphasized broad qualitative themes that we found to be consistent throughout a range of assumptions. The cost-effectiveness of HPV vaccination in the United States will likely be optimized by achieving universal coverage in young adolescent girls and targeting initial catch-up efforts to girls and women younger than 21 years of age. Optimal synergies between vaccination and screening will involve revisions to current screening practice. Priorities for empirical data collection include surveillance to understand the HPV type-specific epidemiologic factors and screening behavior in vaccinated populations, the duration of vaccine-induced protection, and the long-term impact on other HPV-related conditions.

Supplementary Material

Kim & Goldie_NEJM2008_Appendix

Acknowledgments

Supported by grants from the National Cancer Institute (R01 CA93435), the Centers for Disease Control and Prevention, and the American Cancer Society, and by the Bill and Melinda Gates Foundation (30505) for related work in developing countries.

We thank the entire cervical-cancer prevention team at the Program in Health Decision Science, Harvard School of Public Health, including Jeremy Goldhaber-Fiebert, Jesse Ortendahl, Meredith O’Shea, Katie Kobus, Steven Sweet, Nicole Gastineau Campos, and Bethany Andres-Beck, for their contributions.

Footnotes

No potential conflict of interest relevant to this article was reported.

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